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The healthcare industry is increasingly going digital, with artificial intelligence helping diagnose conditions and patients with wearable smart devices being cared for at home.

But are these digital health initiatives actually improving patient care? And are they contributing to an already stressful environment?

Becker's reached out to healthcare leaders on the IT and clinical sides to get their perspectives on how the industry's digital shift is affecting patients and providers. In part one of this two-part series, we asked executives how technology had improved the patient experience.

In this second installment, Becker's asked digital executives: 

How do you believe the clinical side perceives your organization's digital health initiatives, and what are you doing to ensure the initiatives are improving patient care?

Tony Ambrozie. Senior Vice President and Chief Digital and Information Officer for Baptist Health South Florida (Coral Gables): Physicians look after the well-being of patients — including easy access to care and medical information and overall good experiences. For example, getting into and out of an encounter. Digital experiences for consumers help with exactly that if A) they work well for patients and B) they preferably help clinicians in some way or another, but definitely do not create unnecessary challenges and overhead for them.

For digital experiences for physicians, there is a huge legitimate appetite for adoption to simplify their work, especially with EHR burnout and lack of specific collaboration tools. But again, the expectation is that any technology must solve real needs and must work well, which many solutions in the past have not done; as such, there is a healthy "trust but verify" skepticism until proven.

Sure, in the current challenging economic situation, with inflation and labor shortage challenges for all healthcare providers in the U.S., some digital investments have to be prioritized ahead of others, but involving everybody in that balanced prioritization is the way to gain support. 

Tom Andriola. Chief Digital Officer at University of California Irvine Health: The pandemic exposed medical professionals to many types of technology-enabled interactions, many out of necessity. Reactions have varied. Some want to continue those practices, and some want to put them in a drawer and return to the practices of 2019.

For leaders who are attuned to the changes going on in the U.S. healthcare market, they clearly see the opportunity to have a robust strategic discussion around how these new models for virtual care, remote patient-monitoring, "'hospital at home," etc., will impact both the patient experience as well as the healthcare delivery model as we move toward more value-based care contracting.

We're using the opportunity to take a step back, evaluating our digital health initiatives that were implemented during the pandemic and engaging in a process of strategic planning — thinking about the future of our health system strategically and operationally. The conversation has brought together clinical, business and administrative leaders discussing how digitally enabled care fits into our strategic plan for current delivery capabilities and the future services that we see being expanded or coming online. The conversation has always included balancing quality, cost and access.

But post-pandemic healthcare is now also working with new definitions — expectations — around patient preference and experience. We also are evaluating the impact artificial intelligence technologies will have. It has been a good exercise for the organization in that it has forced the discussion and allowed us to reexamine our assumptions.

Zafar Chaudry, MD. Senior Vice President, Chief Digital Officer and CIO at Seattle Children's: At Seattle Children's we follow two paths to ensure clinical, patient, parent and caregiver stakeholders are actively and consistently engaged, and we also measure the satisfaction of our IT services using the Net Promoter Score. Our current NPS is +38.

For clinicians, we have our digital patient access, care and engagement team that works directly with them to provide digital solutions to help with their workflows. We ensure patient care is improving by measuring clinical outcomes using real-time dashboards — built on Microsoft Power BI and underpinned with IBM Netezza data warehousing technology — while multiple improvement projects are driven by our data lakes.

For our patients, parents and caregivers, we have formed an advisory group known as Parent Partners IT Children's Hospital, or PPITCH, to help us define and drive our patient-facing digital strategy. This group, combined with IT staff members, meets regularly to collaborate on how we can Improve the digital and technology experience for our patients and families.

Michael Hasselberg, PhD, RN. Chief Digital Health Officer at University of Rochester (N.Y.) Medical Center: One of the benefits of working at an academic medical center is the culture of inquisitiveness and creativity. We encourage our clinicians to bring forward the problems they are encountering, innovate and be part of the solution to advance care.

From the very beginning of our health system's digital transformation strategy, we made it a priority to include clinicians across many different disciplines in the governance process. It is our clinicians who prioritize our digital health initiatives and identify where early wins can be gained. In partnership with our informaticists, the front-line clinicians guide the integration of new digital tools into their current workflows and the electronic health record that they use daily.

Being data-driven and evidence-based are also pillars in academic medicine. To ensure that our digital health initiatives are actually improving patient care, we have invested significant data analytic resources around our strategy, while many of the researchers across our institution are studying the impact of these initiatives on health disparities and clinical outcomes. We have built data dashboards that provide feedback to our clinical, operational and technical teams that generate the insights needed to quickly iterate when we are not meeting our initiative goals. There is no question that healthcare is quickly moving into the digital age, and our clinicians at the University of Rochester Medical Center are engaged and excited for the future of patient care.

William Holland, MD. Senior Vice President of Care Management and Chief Medical Informatics Officer at Banner Health (Phoenix): Over the course of the first two years of the COVID-19 pandemic, we focused heavily on initiatives that helped support our goals of keeping our healthcare workers and patients safe. This included a significant increase in both inpatient and outpatient telehealth deployments, services and usage which allowed patients and clinicians to provide and receive care in the ways that worked best for them.

We are now in a different phase of the pandemic, one where we remain mindful of COVID-19 and also are intensely focused on driving organizational recovery from the impact of the pandemic. Our digital initiatives are transitioning from a COVID-19 focus to one of improving the overall experience of our clinicians through device integration, efficiency through documentation redesign, clinical improvements through advanced analytics and connectedness of care for our patients. Throughout all of this, we have been intentional about involving our front-line clinicians in identifying opportunities, leading and participating in design teams and creating an environment that welcomes open and transparent feedback.

We also leverage a combination of process, balance and outcome measures in each area to ensure that we are making progress in our work and that it has a meaningful and measurable impact on the quality and safety of care we provide.

Claus Jensen. Chief Innovation Officer of Teladoc Health: Traditional healthcare and digital health solutions are increasingly intertwined, and this is a trend that will be accelerating. Instead of asking which type of solution to use when, would it not be a better question to instead ask how we create a hybrid care model that brings the best of both and gives patients choice in a fully integrated and natively whole-person care model?

Our clinical leadership sees our digital health initiatives as the way to reach more people in more meaningful ways. And the way to make sure these initiatives Improve patient care is quite simply to work closely together and ensure that we fuse clinical and digital science effectively. We jointly believe that health equity, clinical efficacy and cost-effectiveness can all be addressed by the right blend of care components and resources.

Aaron Miri. Senior Vice President and Chief Digital and Information Officer at Baptist Health (Jacksonville, Fla.): level of healthcare delivery. That's on top of investments in modernizing the technology stacks across the health system and ensuring that we block and tackle as much as we pursue items like healthcare artificial intelligence, ambient voice technology and other whiz-bang new stuff that are all the rage.

What I appreciate about Baptist Health is the laser focus on delivering the very best patient care possible versus an alternative approach of trying to act like a healthcare product vendor that dabbles in patient care. When you operate with that type of focus where you listen, respect, and engage in providing the highest quality patient care, it's only then that you can strive toward very advanced digital medicine therapies.

Aaron Neinstein, MD. Vice President of Digital Health at University of California San Francisco Health and Senior Director of the UCSF Center for Digital Health Innovation: We view digital health as a set of tools in our care delivery tool kit at UCSF that can help us advance quality care, Improve experience, Improve access to care and be more efficient in operations, allowing us to serve patients better.

Our digital health team works as part of cross-functional teams that include roles like operations, marketing, design, data science, engineering and product management, giving each team the full complement of expertise and perspectives to design, develop and deploy solutions that will positively impact these outcomes.

For example, for specialty referrals and patient scheduling, by deploying an improved patient web and mobile experience and more efficient back-end operations for handling referrals, we simplified and removed barriers to patients accessing care. Or, in deploying virtual care programs in lung transplant, inflammatory bowel disease and cancer patients receiving chemotherapy, leveraging wearable devices and mobile symptom assessment, our teams aimed to Improve patient experience, reduce their need to travel for in-person care and increase the frequency of touchpoints and engagement with care teams, which we hope will have measurable positive impacts on care quality outcomes.

One major advantage of thinking digitally is the goal of thoughtful and deliberate measurement built into every workflow and solution. So, a critical foundation for any of our programs is that each cross-functional team identifies the patient journey, builds in an ability to measure what is happening and continually analyzes those data so that we can see the outcomes and also see which points of friction the patient is experiencing that we can further optimize for. By baking detailed measurements into each program, we can also monitor the data on whether digital health tools are working as we hope, to reduce disparities in care, whether different populations are accessing or using the tools in different ways, or whether measurable gaps in use across populations appear.

Danny Sama. Vice President and Chief Digital Executive at Northwestern Medicine (Chicago): Our clinicians see the great opportunity for digital health to positively impact patients and themselves. However, they are wary about a potential added burden to their clinical workflows. We are constantly thinking about where and how to integrate digital tech into clinician workflows as seamlessly as possible. And every digital solution we consider is grounded in a value proposition to both patients and clinicians in the form of improved experience, increased efficiency or reduced risk.

Eric Smith. Senior Vice President and Chief Digital Officer at Memorial Hermann Health System (Houston): Our clinical providers are eager to adopt our digital initiatives, from online scheduling to virtual appointments — as long as the technology truly makes the experience better, easier and more efficient for our patients. With that in mind, we're working on initiatives designed to help patients have seamless, frustration-free experiences.

One of these is a platform that will allow patients to interact with us more digitally — by text, for instance — to remove the friction they might feel when trying to get information. We'll be able to remind them about preventive screenings, wellness exams and other regular appointments, encouraging them to schedule this routine care and follow up when necessary.

Finally, we're continuing to expand the options for patients to use our enhanced virtual health services when it makes sense for them to do so — helping them get the care they need in the way that is most convenient and readily available to them.

Jason Szczuka. Chief Digital Officer for Bon Secours Mercy Health (Cincinnati): BSMH's digital business (Accrete Health Partners) is unique in that we closely partner with our clinical teams to prioritize, validate and scale our digital initiatives so that we can ensure we solve existing problems, complement our clinicians' workflows and facilitate better experiences for our patients. We are proud of how our clinicians positively perceive and lean into our initiatives.

Prat Vemana. Senior Vice President and Chief Digital Officer at Kaiser Permanente (Oakland, Calif.): At Kaiser Permanente, we are building on our strong foundation as an innovator and continuously expanding our digital platform to deliver more personalized, seamless experiences for our 12.6 million members. Our clinical teams at Kaiser Permanente view our digital health initiatives as an integrated effort. Digital is applied in every area of our organization — from consumer engagement, physician workflows and optimization, to the clinical care setting. Our physicians and clinical teams are involved in designing our digital patient experiences and applying digital to their work in order to provide exceptional, integrated patient care.

To ensure our digital health tools are improving patient care, stakeholders from both the digital and clinical sides are involved in the entire process when developing digital experiences for our members. Kaiser Permanente's unique integrated model facilitates this collaboration and ensures that the right experts are at the table to think about the patient digital experience holistically. Program management, product managers, experience designers, clinical experts and health plan experts are involved from strategy to execution, empowering them to design and deliver successful digital solutions for both the patient and physician. The partnership and collaboration between these groups is essential to ensuring our members' needs and preferences are addressed by digital tools.

Kaiser Permanente is using artificial intelligence and machine learning technology to Improve the health outcomes for our members and patients. We are ahead of the curve on delivering machine learning-enabled solutions at the point of care. We gain rapid adoption of these solutions because we have cultivated strong relationships between our physicians, members and patients.

For example, our Advance Alert Monitor tool analyzes electronic health record data for medical-surgical inpatients, proactively identifies those with a high likelihood of clinical deterioration and activates a rapid response care team to develop a care plan. This is completed through a predictive model that uses algorithms created from machine learning and data from more than 1.5 million patients. A 2020 Kaiser Permanente study showed that our Advanced Alert Monitor tool is associated with statistically significant decreases in mortality [with between 550 to 3,020 lives saved over four years], hospital length of stay and intensive care unit length of stay, which shows us the positive impact our digital tools have in patient care and outcomes.

Tue, 09 Aug 2022 03:22:00 -0500 en-gb text/html https://www.beckershospitalreview.com/digital-health/how-12-digital-execs-streamline-tech-for-clinicians.html
Killexams : Warehouse Management System Global Market Report 2022

DUBLIN, July 25, 2022 /PRNewswire/ -- The "Warehouse Management System Global Market Report 2022" report has been added to ResearchAndMarkets.com's offering.

This report provides strategists, marketers and senior management with the critical information they need to assess the global warehouse management system market.

This report focuses on warehouse management system market which is experiencing strong growth. The report gives a guide to the warehouse management system market which will be shaping and changing our lives over the next ten years and beyond, including the markets response to the challenge of the global pandemic.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 12+ geographies.
  • Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market research findings.
  • Benchmark performance against key competitors.
  • Utilize the relationships between key data sets for superior strategizing.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis

Major players in the warehouse management system market are Manhattan Associates, Oracle Corp., Infor, PTC, SAP SE, PSI Logistics GmbH, IBM Corp., Tecsys, Blue Yonder, Honeywell International Inc, Technology Solutions (UK) Ltd, HighJump Software, Synergy Ltd, Made4net and JDA Software Group Inc.

The global warehouse management system market is expected to grow from $2.39 billion in 2021 to $2.74 billion in 2022 at a compound annual growth rate (CAGR) of 14.77%. The growth is mainly due to the companies rearranging their operations and recovering from the COVID-19 impact, which had earlier led to restrictive containment measures involving social distancing, remote working, and the closure of commercial activities that resulted in operational challenges. The market is expected to reach $4.83 billion in 2026 at a CAGR of 15.15%.

The warehouse management system market consists of sales of warehouse management services by entities (organizations, sole traders and partnerships) which are used by companies to manage and control daily warehouse operations, from the moment goods and materials enter a distribution or fulfilment centre until the moment they leave. Warehouse management systems include inbound logistics and outbound logistics tools for picking and packing processes, resource utilization, analytics, and others.

The main warehouse management system offerings include software and services. Warehouse management system software are used to control and manage daily warehouse operations. The warehouse management system software helps in managing and controlling regular warehouse operations. It directs inventory in managing, picking, and shipping of orders, and guides the system automatically on picking and shipping items.

The different warehouse management system deployment modes include on premises and cloud. The warehouse management system functions include labor management system, analytics and optimization, billing and yard management and systems integration and maintenance, which are used for applications in transportation and logistics, healthcare, retail, manufacturing, food and beverage and other applications.

North America was the largest region in the warehouse management system market in 2021. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

Increasing demand from e-commerce companies for larger warehouses with better tracking and forecasting is expected to drive the warehouse management system market. The growing e-commerce industry requires continuous tracking of all the equipment and inventory forecasting to keep up the demand and maintain larger cargo movement.

For instance, a study from a research firm Knight Frank reported that the annual warehousing transactions in India are expected to increase from 31.7 million square feet in 2021 to 76.2 million square feet in 2026. Therefore, increasing demand from e-commerce companies is expected to boost the market during forecast period.

Technological advancement is a key trend gaining popularity in the warehouse management system market. Technological advancement is a discovery of knowledge that advances technology. For instance, in May 2020, a US-based provider of technology solutions for distribution centers launched the Manhattan Active Warehouse Management solution, which marks the world's first cloud-native enterprise-class warehouse management system (WMS). The new warehouse management system unifies every aspect of distribution and contains unified control, which allows management team members to quickly visualize, diagnose and take action anywhere in their supply chain.

The countries covered in the warehouse management system market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA.

Key subjects Covered:

1. Executive Summary

2. Warehouse Management System Market Characteristics

3. Warehouse Management System Market Trends And Strategies

4. Impact Of COVID-19 On Warehouse Management System

5. Warehouse Management System Market Size And Growth
5.1. Global Warehouse Management System Historic Market, 2016-2021, $ Billion
5.1.1. Drivers Of The Market
5.1.2. Restraints On The Market
5.2. Global Warehouse Management System Forecast Market, 2021-2026F, 2031F, $ Billion
5.2.1. Drivers Of The Market
5.2.2. Restraints On the Market

6. Warehouse Management System Market Segmentation
6.1. Global Warehouse Management System Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

6.2. Global Warehouse Management System Market, Segmentation By Deployment, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

6.3. Global Warehouse Management System Market, Segmentation By Function, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

  • Labor Management System
  • Analytics And Optimization
  • Billing And Yard Management
  • Systems Integration And Maintenance

6.4. Global Warehouse Management System Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

  • Transportation And Logistics
  • Healthcare
  • Retail
  • Manufacturing
  • Food And Beverage
  • Other Applications

7. Warehouse Management System Market Regional And Country Analysis
7.1. Global Warehouse Management System Market, Split By Region, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
7.2. Global Warehouse Management System Market, Split By Country, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

For more information about this report visit https://www.researchandmarkets.com/r/hy0wjz

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Could artificial intelligence (AI) help companies meet growing expectations for environmental, social and governance (ESG) reporting? 

Certainly, over the past couple of years, ESG issues have soared in importance for corporate stakeholders, with increasing demands from investors, employees and customers. According to S&P Global, in 2022 corporate boards and government leaders “will face rising pressure to demonstrate that they are adequately equipped to understand and oversee ESG issues — from climate change to human rights to social unrest.”

ESG investing, in particular, has been a big part of this boom: Bloomberg Intelligence found that ESG assets are on track to exceed $50 trillion by 2025, representing more than a third of the projected $140.5 trillion in total global assets under management. Meanwhile, ESG reporting has become a top priority that goes beyond ticking off regulatory boxes. It’s used as a tool to attract investors and financing, as well as to meet expectations of today’s consumers and employees.  

But according to a latest Oracle ESG global study, 91% of business leaders are currently facing major challenges in making progress on sustainability and ESG initiatives. These include finding the right data to track progress, and time-consuming manual processes to report on ESG metrics.

“A lot of the data that needs to be collected either doesn’t exist yet or needs to come from many systems,” said Sem J. de Spa, senior manager of digital risk solutions at Deloitte. “It’s also way more complex than just your company, because it’s your suppliers, but also the suppliers of your suppliers.” 

ESG data challenges driving use of AI

That is where AI has increasingly become part of the ESG equation. AI can help manage data, glean data insights, operationalize data and report against it, said Christina Shim, VP of strategy and sustainability, AI applications software at IBM. 

“We need to make sure that we’re gathering the mass amounts of data when they’re in completely different silos, that we’re leveraging that data to Improve operations within the business, that we’re reporting that data to a variety of stakeholders and against a very confusing landscape of ESG frameworks,” she said. 

According to Deloitte, although a BlackRock survey found that 92% of S&P companies were reporting ESG metrics by the end of 2020, 53% of global respondents cited “poor quality or availability of ESG data and analytics” and another 33% cited “poor quality of sustainability investment reporting” as the two biggest barriers to adopting sustainable investing. 

Making progress is a must, experts say. Increasingly, these ESG and sustainability commitments are no longer simply nice to have,” said Shim. “It’s really becoming kind of like a basis of what organizations need to be focused on and there are increasingly higher standards that have to be integrated into the operations of all businesses,” she explained. 

“The challenge is huge, especially as new regulations and standards emerge and ESG requirements are under more scrutiny,” said De Spa. This has led to hundreds of technology vendors flooding the market that use AI to help tackle these issues. “We need all of them, at least a lot of them, to solve these challenges,” he said.

The human-AI ESG connection

On top of the operational challenges around ESG, the Oracle study found 96% of business leaders admit human bias and emotion often distract from the end ESG goals. In fact, 93% of business leaders say they would trust a bot over a human to make sustainability and social decisions. 

“We have people who are coming up now who are hardwired for ESG,” Pamela Rucker, CIO advisor, instructor for Harvard Professional Development, who helped put together the Oracle study. “The idea that they would trust a computer isn’t different for them. They already trust a computer to guide them to work, to supply them directions, to tell them where the best prices are.” 

But, she added, humans can work with technology to create more meaningful change and the survey also found that business leaders believe there is still a place for humans in ESG efforts, including managing making changes (48%), educating others (46%), and making strategic decisions (42%). 

“Having a machine that might be able to sift through some of that data will allow the humans to come in and look at places where they can add some context around places where we might have some ambiguity, or we might have places where there’s an opportunity,” said Rucker. “AI gives you a chance to see more of that data, and you can spend more time trying to come up with the insights.” 

How companies can get started with AI and ESG

Seth Dobrin, chief AI officer at IBM, told VentureBeat that companies should get started now on using AI to harness ESG data. “Don’t wait for additional regulations to come,” he said. 

Getting a handle on data is essential as companies begin their journey towards bringing AI technologies into the mix. “You need a baseline to understand where you are, because you can make all the goals and imperatives, you can commit to whatever you want, but until you know where you are, you’re never gonna figure out how to get to where you need to get to,” he said. 

Dobrin said he also sees organizations moving from a defensive, risk management posture around ESG to a proactive approach that is open to AI and other technologies to help. 

“It’s still somewhat of a compliance exercise, but it’s shifting,” he said. “Companies know they need to get on board and think proactively so that they are considered a thought leader in the space and not just a laggard doing the bare minimum.” 

One of the key areas IBM is focusing on, he added, is helping clients connect their ESG data and the data monitoring with the genuine operations of the business. 

“If we’re thinking about business facilities and assets, infrastructure and supply chain as something that’s relevant across industries, all the data that’s being sourced needs to be rolled up and integrated with data and process flows within the ESG reporting and management piece,” he said. “You’re sourcing the data from the business.” 

Deloitte works with Signal AI on ESG efforts

Deloitte recently partnered with Signal AI, which offers AI-powered media intelligence, to help the consulting firm’s clients spot and address supplier risks related to ESG issues. 

“With the rise of ESG and as businesses are navigating a more complex environment than ever before, the world has become awash in unstructured data,” said David Benigson, CEO of Signal AI. “Businesses may find themselves constantly on the back foot, responding to these issues reactively rather than having the sort of data and insights at their fingertips to be at the forefront.” 

The emergence of machine learning and AI, he said, can fundamentally address those challenges. “We can transform data into structured insights that help business leaders and organizations better understand their environment and get ahead of those risks, those threats faster, but also spot those opportunities more efficiently too – providing more of an outside-in perspective on issues such as ESG.” 

He pointed to latest backlash around “greenwashing,” including by Elon Musk (who called ESG a “scam” because Tesla was removed from S&P 500’s ESG Index). “There are accusations that organizations are essentially marking their own homework when it comes to sorting their performance and alignment against these sorts of ESG commitments,” he said. “At Signal, we provide the counter to that – we don’t necessarily analyze what the company says they’re going to do, but what the world thinks about what that company is doing and what that company is actually doing in the wild.” 

Deloitte’s de Spa said the firm uses Signal AI for what it calls a “responsible value chain” – basically, supplier risk management. 

“For example, a sustainable organization that cleans oceans and rivers from all kinds of waste asked us to help them get more insight into their own value chain,” he said. “They have a small number of often small suppliers they are dependent on and you cannot easily keep track of what they’re doing.” With Signal AI, he explained, Deloitte can follow what is happening with those companies to identify if there are any risks – if they are no longer able to deliver, for example, if there is a scandal that puts them out of business, or if the company is causing issues related to sustainability.” 

In one case, Deloitte discovered a company that was not treating their workers fairly. “You can definitely fight greenwashing because you can see what is going on,” he said. “You can leverage millions of sources to identify what is really happening.” 

ESG will need AI and humans going forward

As sustainability and other ESG-related regulations begin to proliferate around the world, AI and smart technology will continue to play a crucial role, said Deloitte’s de Spa. “It’s not just about carbon, or even having a responsible value chain that has a net zero footprint,” he said. “But it’s also about modern slavery and farmers and other social types of things that companies will need to report on in the next few years.” 

Going forward, a key factor will be how to connect and integrate data together using AI, said IBM’s Dobrin. “Many offer a carbon piece or sell AI just for energy efficiency or supply chain transparency,” he said. “But you need to connect all of it together in a one-stop-shop, that will be a total game-changer in this space.” 

No matter what, said Rucker, there is certainly going to be more for AI-driven tools to measure when it comes to ESG. “One of the reasons I get excited about this is because it’s not just about a carbon footprint anymore, and those massive amounts of data mean you’re going to have to have heavy lifting done by a machine,” she said. “I see an ESG future where the human needs the machine and the machine needs the human. I don’t think that they can exist without each other.” 

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Wed, 13 Jul 2022 08:00:00 -0500 Sharon Goldman en-US text/html https://venturebeat.com/applied-ai/why-ai-is-critical-to-meet-rising-esg-demands/
Killexams : Snowflake: Excellence Is Now Reasonably Priced
White Snowflake 3D render

AltoClassic/iStock via Getty Images

Snowflake (NYSE:SNOW) is cementing itself as among the handful of cloud software companies that can actually capture about a quarter of their TAM (Total Addressable Market), now presented as $90B or so. Theoretically, every enterprise above a moderate size could use data warehousing services, and the business execution by Snowflake so far indicates that the flywheel for growth is well oiled.

At the ~$145 range, SNOW makes sense as an investment for the long term - offering robust compounding potential for investors who stick through.

One might argue that this stock could head lower in an extended bear trend and that the valuation is still holding a little too much baked in. As I write this, SNOW is still valued at 19x on the Next Twelve Month EV/S multiple. This is a massive market valuation on a relative basis, considering the worsening baseline cost of equity that's now a few points up. Regardless, I'd like to argue that it is an exceptional business that deserves the big sector premium and then some.

I had written an introductory article on the business after it went public more than a year ago and made the following remarks at a ~$250 price. There were a few comments from that:

When the market is already pricing in success, especially at this very nascent IPO stage, you aren't being compensated enough for risk, volatility, drawdowns, and the very real possibility that the business falls short. Snowflake appropriately commands a high valuation for its business. I must admit, that I too scoffed at the price before diving deeper into the company. Upon further analysis, there seems to be more justification for its valuation than I previously hypothesized. It is stretched, but not absurd. There's more downside than upside from here in the short-term and the price relative to the long-term prospects isn't attractive enough to warrant a spot in my portfolio.

It's now ~$145, and is attractive enough to warrant a substantial holding in my portfolio. I began nibbling a little at <$200 and increased my position significantly on the deeper dips in latest months. Meanwhile, the earnings reports have been strong as leading metrics outperformed expectations for the past few quarters. There will be some headwinds for short-term growth, but the reasoning behind the last earnings call appeared rational and under control. With a significant price drawdown, I sense an opportunity here. Even by extending today's more modest valuation paradigm, there's big upside potential.

Recap: Data Warehouse In Evolution

Snowflake, as many might know, is a modern data warehousing solution that charges customers on a pay-as-you-use basis. Organizing data, removing silos, and solving governance issues while making it available to whoever needs it, have been ongoing problems plaguing any modern enterprise at different points across the spectrum. Removing all the friction, maintenance, and extra management of it is key to unlocking intelligence from the data, and that's where Snowflake comes in as a packaged solution that bridges the back end of data to the decision-making front.

ppt snowflake

Snowflake Architecture (Snowflake Investor Presentation)

Snowflake rests upon the big infrastructure providers (i.e. Azure, AWS, GCP) by building a software solution that supercharges data management, and therefore insight and decision making.

The company has expanded on the warehousing functionality with data science, engineering, apps, tools for more app development, and other new use cases. Ultimately, it's not quite an app, but a platform, and one that has integrated years of hardcore engineering to function at the level of proficiency that made it into a multi-billion sales enterprise.

I've covered more on the warehousing-specific tech and its variations in my first article, but it's worth noting the results Snowflake offers on hand that produce rapid ROI for its customers over time. The Total Economic Impact Study, independently carried out by Forrester noted a 600%+ ROI on an amalgamated group of previous Snowflake customers that agreed to participate in the study. One can take it with some salt, as the study was in 2020, but I've seen many of the primary benefits still hold true across today's online customer reviews and studies:

  • Cost savings from accelerated time to market
  • Increased profits from faster time to market
  • Improved decision-making support from faster access to data
  • Simplified data operations
  • Infrastructure and database management savings

The pay-as-you-use nature of the Snowflake business model provides convenience and ready elasticity, arbitraging the otherwise massive infrastructure costs if done independently without an intelligent optimization layer. Managing, allocating, and governing data from a host of silos have plagued most IT teams. It appears that Snowflake has built the platform to jump ahead on most of those issues toward frictionless data intelligence. When moving with the markets, responding to trends, product development, and deployment for any business depends on the speed in a hypercompetitive landscape - Snowflake offers the warehousing solution built for the cloud.

Why The Data Cloud Vision Matters

For a few quarters now, the company has been harping on about the "Data Cloud". While it may sound like vague software jargon, there's a real new vertical for Snowflake to capitalize on here.

As a host for data for a few thousand enterprises, and a fraction of the Fortune 2000, the data cloud seemingly opens up the possibilities for the cross-functionality of that data. To be more specific, they're creating a unified marketplace for the silly amount of data already there to be used by any of their customers, controlled and governed by the original owners of it. The Data Cloud, at least to me, is about increasing the mobility of the complete amount of data on the Snowflake platform across enterprises and buyers.

That mobility is important. Snowflake, by virtue of this Data Cloud, is uniquely positioned to become one of the leading marketplaces of data anywhere in the world. With a quarter of the Forbes 2000 on the platform already, and an increasing number of third-party data providers, Snowflake leverages the optimization and cost efficiency of hosting all that data to build this marketplace which they're looking to now monetize as of their last earnings call.

data cloud

Data Cloud Visualization (Snowflake Investor Presentation)

The company visualized the growth of the Data Cloud using the graphics above. Unsurprisingly, the exchange of data has been exponential, enabling a whole host of analytics and insights that were previously not quite possible. And since Snowflake hosts it, the time to Extract, Transform, Load, or query the out-of-enterprise data one needs is extremely easy. It saves time and increases speed - doubly important for big data needs.

Such innovations that are not particularly meaningful on the financials, can have a large impact down the line. They also serve to differentiate Snowflake from its competitors such as Google's BigQuery or Azure. I refer to these aspects of a company as "optionality" - an embedded call option that can come into money and boost financials down the line. Such things are often overlooked by analysts.

Growth Amidst Competition

As of the last quarter, note the latest growth metrics:

  • 178% YoY Net Revenue Retention Rate, increasing sequentially over the last few quarters
  • 102% Revenue Growth
  • 139% Customer count growth for >$1m annual product revenue

Source: Quarterly Financials

If the general cloud tech moves fast on growth, Snowflake has moved faster. The retention rate is leading the entire pack among mid-large public software companies. This is primarily due to the pay-as-you-go model, which still appears underappreciated in some aspects.

While software investors are used to predictable annual recurring revenues and forecasting, Snowflake's business model is tied to a variable, but ultimately secular growth trend of the amount of net total data across enterprises. While companies will optimize for the data storage and warehousing they need, it is seemingly inevitable that the amount of data any modern enterprise would need will keep growing exponentially over the long term. That factor translates to excess top-line double-digit percentage growth should Snowflake entirely stop acquiring new customers altogether. On account of the long-term, this mechanism is what will enable the company to expand faster and longer on a financials-basis. In my view, such a business model demands an appropriately high premium to the regular SaaS model on valuation. There's a virtual inevitability to data growth, recession or not.

Competition exists, of course, coming from data-warehousing solutions provided by the big cloud infrastructure businesses: AWS Redshift, Azure, and Google's BigQuery. On the more innovative front, Databricks offers datalake solutions that may be less directly competitive now, but will increasingly overlap in use cases with data-warehousing as the space evolves.

According to G2 Crowd, Snowflake has the highest customer satisfaction score for Data Warehousing, and is high up in market presence, right behind AWS RedShift, and IBM's solution.

grid for data warehousing

G2 Crowd Grid for Data Warehousing (G2 Crowd Website)

Factoring in current trends on G2 reviews, Snowflake is experiencing higher momentum compared to Amazon's Redshift and other counterparts. G2 grabs their Momentum scores from customer review counts, but one could infer that Snowflake is gaining market share ahead of the competition, going by this rather imperfect data. If it is true, this works in investors' favour as economies of scale and pricing power come along as well.

momentum grid

G2 Crowd Momentum Grid For Data Warehousing (G2 Crowd)

It is worth remarking on Snowflake's relationship with Amazon Web Services. AWS and Snowflake both cooperate and compete with each other. The cooperation involves a partnership on co-sales where AWS sells Snowflake to its existing and new customers. The competition comes across with AWS Redshift, also a data-warehousing solution. At least for now, Amazon appears to have partnered with the best of the breed and is overlooking immediate competition on warehousing to sell the bigger picture for customers - thereby offering a more competitive solution to set itself apart from Azure and GCP. This wasn't the case two years ago, but I'd take it as a massive vote of confidence from the most complete cloud infrastructure provider out there at the moment. That said, it's also a risk, should AWS choose to push through Redshift (the in-house warehousing solution).

Financials

chart for sales growth

Product Revenue & Growth (Author, Snowflake Quarterly Results)

financials chart

Financial Performance Chart (Author, Quarterly Results Data)

Snowflake will quickly record a $2B annual sales run rate, probably by the end of the year. While sales have been on a decelerating growth trend, the company remains one of the fastest growing software businesses around and one of the largest high-growers too. Macro headwinds do exist, as CEO Frank Slootman mentioned on the last earnings call - the headwinds involve a shift in focus from enterprise customers from expansionary contracts to optimization. This is a clear short-term negative, but one ought to consider the long-term scope of the Snowflake opportunity and addressable market. The macro-environment has indeed shifted and will lead to altered spending patterns. The Q1 results and FY2022 guide earlier this year, along with the general tech crash, have been quick to take in these risks and compress the stock price. That presents an opportunity.

Snowflake has impressively generated substantial Free Cash Flow along with its high growth. practicing between the lines, this represents disciplined cash management but also an ability to exercise pricing power. More than any other metric, FCF generation indicates that Snowflake can and has been going toe to toe with the big infrastructure players. In an environment where the cost of capital has increased dramatically and many software businesses are far below the breakeven line, Snowflake stands alongside very few names in the space. One should expect the 40.9% margin to moderate quite a bit, with management guiding in the teens for FY22. The profitability has been helped by an improving gross margin, and if things do go a little wrong, Snowflake has accumulated $4B in liquidity on its balance sheet. In summation, the high growth and cash generation will continue as before, even through a recession.

Valuation Multiples & The Long Term

EV/S Snowflake

Sales Multiples (Koyfin)

The EV/S multiple on the next twelve-month basis of 19.2x accounts for a slightly in-line analyst consensus estimate for FY23 (growth of 65.9% vs 65-7% YoY on guided sales). This is all fine, but one ought to account for the long-term product revenue roadmap of $10B in product sales with a 25% FCF margin.

guidance

Snowflake Guidance (Snowflake Q1 Presentation)

FY29 ends in January 2029, about 5.5 years from now. In my internal forecasts, I've been a little more aggressive and have pegged the target for about $10B in Product Revenue (with $11B in Total Revenue) for FY28. To me, management has historically been conservative, consistently beaten earnings, and is executing on business demands extremely well under the proven leadership of Frank Slootman (ex-CEO of ServiceNow) at the helm. With a forecast of about 32% YoY growth in FY28, and an exit 45x FCF multiple at 25% margin, and 10% share-count dilution, I get about 19% IRR potential from current prices for 5+ years. To provide some context, mid/high-20% YoY growers with $7B+ annual sales such as ServiceNow (NOW) are priced higher on today's FCF multiples.

To me, my forecasts provide a reasonable basis for the long-term and enough compounding potential to warrant a sizeable stake. This isn't the highest return potential around amidst tech, but I'd urge investors to look at the complete quality of the business and what that implies for downside risk. Snowflake had raised its long-term FCF margin targets in 2021 from 15% to 25%. Once thought of as an up-and-comer to infrastructure providers, it is now sophisticated enough to partner with, instead of compete with Amazon. And the business model offers a flywheel like no other in the software space, recording signs of eating market share everywhere against the best offerings in the industry. Solid balance sheet too with tightly run profitability. Then there's Frank Slootman, who is likely one of the best Silicon Valley operators out there; the now-behemoth ServiceNow owes a lot to him for what they are today at a near $100B market cap. Quality growth that ticks all the boxes is rare and Snowflake appears to be one such business.

Risks

Macro: The most obvious risk for perhaps any growth-oriented stock on the market for the next 12-18 months. The company has made an adjustment in the last two quarters to cull some expectations on growth while re-instating its long-term target of $10B in Product Revenue in a few years. Enterprises will appropriately reduce their spending on fresh software but it appears that the data-warehousing adoption trend is still one that should cut through a recession on sales alone. That said, more pronounced downside risks for near-term financials can lead to a deeper selloff in the stock price. One thing the market has hated this year is decelerating growth. If enough of that deceleration has not been priced, there could be some pain.

Competition: Redshift, Databricks with datalakes, and BigQuery. Snowflake isn't the clear leader in the space and will have to compete. Should other options spruce up as more competitive, Snowflake's long-term prospects on market capture may be culled.

Reliance on AWS: Amazon harbours some leverage over Snowflake's expansion on their infrastructure services. This forms a sort of partnership risk that could turn sour in the future.

Financial Risks: Increasing costs of cloud infrastructure and provision would directly impact the gross margin of Snowflake. Margin compression impacts bottom line profitability. With the commodity cycle elevated again, one could see the financials hurdle lower in the short term. As with any growth company, a tightening on cash slows down re-investment in market capture.

Conclusion

Snowflake is one of the few software companies that can actually meet its lofty ambitions. I say that because of the multiple signs of product excellence, innovation-based optionality, market share taking, and financials that are ready to withstand a recession. Unlike other software players, Snowflake doesn't have to radically change its growth strategy to account for a shortage of cash because they're already free cash flow generative. This factor only reinforces the story as a sign of early pricing power and the platform's value proposition for customers. At a $145 price, SNOW is a long-term Buy.

Tue, 02 Aug 2022 06:00:00 -0500 en text/html https://seekingalpha.com/article/4528676-snowflake-excellence-is-now-reasonably-priced
Killexams : Global Warehouse Management System Market (2022 to 2031) - Featuring Manhattan Associates, Oracle, Infor and PTC Among Others

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Global Warehouse Management System Market

Global Warehouse Management System Market

Dublin, July 28, 2022 (GLOBE NEWSWIRE) -- The "Warehouse Management System Global Market Report 2022" report has been added to ResearchAndMarkets.com's offering.

This report provides strategists, marketers and senior management with the critical information they need to assess the global warehouse management system market.

This report focuses on warehouse management system market which is experiencing strong growth. The report gives a guide to the warehouse management system market which will be shaping and changing our lives over the next ten years and beyond, including the markets response to the challenge of the global pandemic.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 12+ geographies.

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  • Create regional and country strategies on the basis of local data and analysis.

  • Identify growth segments for investment.

  • Outperform competitors using forecast data and the drivers and trends shaping the market.

  • Understand customers based on the latest market research findings.

  • Benchmark performance against key competitors.

  • Utilize the relationships between key data sets for superior strategizing.

  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis

Major players in the warehouse management system market are Manhattan Associates, Oracle Corp., Infor, PTC, SAP SE, PSI Logistics GmbH, IBM Corp., Tecsys, Blue Yonder, Honeywell International Inc, Technology Solutions (UK) Ltd, HighJump Software, Synergy Ltd, Made4net and JDA Software Group Inc.

The global warehouse management system market is expected to grow from $2.39 billion in 2021 to $2.74 billion in 2022 at a compound annual growth rate (CAGR) of 14.77%. The growth is mainly due to the companies rearranging their operations and recovering from the COVID-19 impact, which had earlier led to restrictive containment measures involving social distancing, remote working, and the closure of commercial activities that resulted in operational challenges. The market is expected to reach $4.83 billion in 2026 at a CAGR of 15.15%.

The warehouse management system market consists of sales of warehouse management services by entities (organizations, sole traders and partnerships) which are used by companies to manage and control daily warehouse operations, from the moment goods and materials enter a distribution or fulfilment centre until the moment they leave. Warehouse management systems include inbound logistics and outbound logistics tools for picking and packing processes, resource utilization, analytics, and others.

The main warehouse management system offerings include software and services. Warehouse management system software are used to control and manage daily warehouse operations. The warehouse management system software helps in managing and controlling regular warehouse operations. It directs inventory in managing, picking, and shipping of orders, and guides the system automatically on picking and shipping items.

The different warehouse management system deployment modes include on premises and cloud. The warehouse management system functions include labor management system, analytics and optimization, billing and yard management and systems integration and maintenance, which are used for applications in transportation and logistics, healthcare, retail, manufacturing, food and beverage and other applications.

North America was the largest region in the warehouse management system market in 2021. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

Increasing demand from e-commerce companies for larger warehouses with better tracking and forecasting is expected to drive the warehouse management system market. The growing e-commerce industry requires continuous tracking of all the equipment and inventory forecasting to keep up the demand and maintain larger cargo movement.

For instance, a study from a research firm Knight Frank reported that the annual warehousing transactions in India are expected to increase from 31.7 million square feet in 2021 to 76.2 million square feet in 2026. Therefore, increasing demand from e-commerce companies is expected to boost the market during forecast period.

Technological advancement is a key trend gaining popularity in the warehouse management system market. Technological advancement is a discovery of knowledge that advances technology. For instance, in May 2020, a US-based provider of technology solutions for distribution centers launched the Manhattan Active Warehouse Management solution, which marks the world's first cloud-native enterprise-class warehouse management system (WMS). The new warehouse management system unifies every aspect of distribution and contains unified control, which allows management team members to quickly visualize, diagnose and take action anywhere in their supply chain.

The countries covered in the warehouse management system market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA.

Key subjects Covered:

1. Executive Summary

2. Warehouse Management System Market Characteristics

3. Warehouse Management System Market Trends And Strategies

4. Impact Of COVID-19 On Warehouse Management System

5. Warehouse Management System Market Size And Growth
5.1. Global Warehouse Management System Historic Market, 2016-2021, $ Billion
5.1.1. Drivers Of The Market
5.1.2. Restraints On The Market
5.2. Global Warehouse Management System Forecast Market, 2021-2026F, 2031F, $ Billion
5.2.1. Drivers Of The Market
5.2.2. Restraints On the Market

6. Warehouse Management System Market Segmentation
6.1. Global Warehouse Management System Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

6.2. Global Warehouse Management System Market, Segmentation By Deployment, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

6.3. Global Warehouse Management System Market, Segmentation By Function, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

  • Labor Management System

  • Analytics And Optimization

  • Billing And Yard Management

  • Systems Integration And Maintenance

6.4. Global Warehouse Management System Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

7. Warehouse Management System Market Regional And Country Analysis
7.1. Global Warehouse Management System Market, Split By Region, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
7.2. Global Warehouse Management System Market, Split By Country, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion

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Killexams : Dynamic Application Security Testing (DAST) Software Market Size | Share | Trends | Growth | Scope | Forecast 2022 Analysis by 2029-VMR

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Aug 02, 2022 (Heraldkeepers) -- New Jersey, United States,- The Global Dynamic Application Security Testing (DAST) Software Market research includes an in-depth analysis of key geographical trends, market dynamics, and global size estimates for the market industry. Product description, product classification, industry structure, and numerous participants in the Global Dynamic Application Security Testing (DAST) Software market. For each segment and geographic market, the market research contains figures from the previous period, as well as the future term and percent CAGR measured.

The study focuses on global companies that operate in the Global Dynamic Application Security Testing (DAST) Software Market and includes information such as company profiles, product samples and descriptions, capacity, production, value, and income. This study includes crucial facts on the industry's current situation and serves as a valuable source of guidance for businesses and individuals working in the market.

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Introduction

The report highlights the latest trends in revenue and market progress, and all realistic statistics on ventures. It provides prevention and pre-planned management and highlights a summary of the global Dynamic Application Security Testing (DAST) Software market, along with classification, definition and market chain structure. The Global Dynamic Application Security Testing (DAST) Software Report highlights issues affecting the global Dynamic Application Security Testing (DAST) Software market, including gross margin, cost, market share, capacity utilization, income, capacity, and supply. It also highlights the future scope of the global Dynamic Application Security Testing (DAST) Software market during the upcoming period.

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The Global Dynamic Application Security Testing (DAST) Software Market Report estimates upfront data and statistics that make the report a very valuable guideline for individuals dealing with advertising, advisors, and industry decision-making processes in the global Dynamic Application Security Testing (DAST) Software sales market. Provides regional analysis for Dynamic Application Security Testing (DAST) Software market. This report provides essential data from the Dynamic Application Security Testing (DAST) Software industry to guide new entrants in the global Dynamic Application Security Testing (DAST) Software market.

Market Dynamics

The global report shows details related to the most dominant players in the global Dynamic Application Security Testing (DAST) Software market, along with contact details, sales and accurate figures of the worldwide market. Various data and detailed analysis collected from various trusted institutions of the global Dynamic Application Security Testing (DAST) Software market are presented in the Global Dynamic Application Security Testing (DAST) Software Research Report.

The major players covered in Dynamic Application Security Testing (DAST) Software Markets:

IBM Security AppScan Standard, Micro Focus, Checkmarx, Appknox, Netsparker, Peach Fuzzer, InsightAppSec, Micro Focus WebInspect, Veracode, Acunetix, AppSpide, Code Dx.

Market segmentation of Dynamic Application Security Testing (DAST) Software market:

Dynamic Application Security Testing (DAST) Software market is divided by type and application. For the period 2022-2029, cross-segment growth provides accurate calculations and forecasts of sales by Type and Application in terms of volume and value. This analysis can help you grow your business by targeting qualified niche markets.

Dynamic Application Security Testing (DAST) Software Market breakdown by Type:

? Cloud Based
? Web Based

Dynamic Application Security Testing (DAST) Software Market breakdown by application:

? Large Enterprises
? SMEs

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The regional analysis covers:

North America (U.S. and Canada)

Latin America (Mexico, Brazil, Peru, Chile, and others)

Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)

Eastern Europe (Poland and Russia)

Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)

Middle East and Africa (GCC, Southern Africa, and North Africa)

The study accurately predicts the size and volume of the market in the present and future. The report offers a comprehensive study of the Bass Mandolin industry and information on foreseeable future trends that will have a significant impact on the development of the market. The weekly then looks at the key global players in the industry.

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The study explores in depth the profiles of the main market players and their main financial aspects. This comprehensive business analyst report is useful for all existing and new entrants as they design their business strategies. This report covers production, revenue, market share and growth rate of the Dynamic Application Security Testing (DAST) Software market for each key company, and covers breakdown data (production, consumption, revenue and market share) by regions, type and applications. Dynamic Application Security Testing (DAST) Software historical breakdown data from 2016 to 2020 and forecast to 2022-2029.

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Killexams : Smart Airports Market: Key Facts, Market Size, Dynamics, Segments and Forecast Predictions Presented and Forecast: 2022-2031

The MarketWatch News Department was not involved in the creation of this content.

Japan, Japan, Mon, 25 Jul 2022 00:39:27 / Comserve Inc. / -- The smart airports market is expected to be around US$ 21 Billion by 2031; Growing at a CAGR of more than 10% in the given forecast period.

Airport operations and business models have evolved significantly over the last two decades to carry the explosive increase in the global airline industry. Regulatory reforms and deregulation has guide in a new aviation period globally. Rising countries are viewing dramatic traffic choice of airline, diversity and growth. Increasing competition in the airline sector, airports are suitable extra responsive to the needs of their airline passengers and customers. This is important to focus on further innovation and efforts to price decrease along with production of different benefits for passengers in terms of rising choice and value.

How Big is the Smart Airports Market?

The smart airports market is expected to be around US$ 21 Billion by 2031; Growing at a CAGR of more than 10% in the given forecast period.

The smart airports market is segmented on the lines of its infrastructure, solutions, applications, services and regional. Based on infrastructure segmentation it covers security systems, air/ ground traffic control, passenger, cargo and baggage ground handling control, communication system, endpoint devices and others. Security system is further segmented into biometrics, alerts &cyber security, E-Fence &ground surveillance radar and E-Tag system. Air/ Ground traffic control consists smart systems &scalable air traffic management solutions and automated passport control.Cargo and baggage ground handling control IoT enabled beacons, robots for passenger and baggage movement, common-use selfservice (CUSS) kiosks and RFID baggage reconciliation system and E-gates. Communication system covers wireless airports, smart phones and near field communication. Endpoint devices cover sensors, tags, IP phone and video conferencing. Under solutions segmentation it covers landside, airside and terminal side. Landside covers parking, access roads, perimeter security, car rental, mMass transit and airport city. Airside consists advanced visual docking guidance system (A-VDGS), airfield ground lighting, surface movement guidance and runway improvement and apron management and digital and radar video surveillance. Terminal side covers HVAC, lighting control, digital video surveillance and management, fire and life safety solutions, energy management, life cycle services, building management and automation systems.

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Based on application segmentation it covers business application and core application. Business application is further segmented into noise abatement, fee management, performance management and gate management. Core application covers content management, business intelligence, next-generation web, collaboration and integration. Under service segmentation it covers smart business-to-business services, smart airport processes, smart workplace services, smart retail, hospitality, and entertainment services and smart transport and parking services.Smart business-to-business services cover traffic and facilities management and smart supply chain and MRO services. Smart airport processes consists location based services, RFID baggage tagging and noqueue check in solutions. Smart workplace services cover equipment telematics solutions and mobile worker and expert locator. Smart retail,hospitality, and entertainment services passenger-specific retail and hospitality, intelligent advertising, lean retail solutions and telepresence rooms. Smart transport and parking servicesreal-time travel services, intelligent transport services and trip concierge.

The smart airports market's geographic segmentation covers various regions such as North America, Europe, Asia Pacific, Latin America, Middle East and Africa. Each geographic market is further segmented to provide market revenue for select countries such as the U.S., Canada, U.K. Germany, China, Japan, India, Brazil, and GCC countries.

This report provides:

1) An overview of the global market for smart airports and related technologies.
2) Analysis of global market trends, with data from 2013, estimates for 2014 and 2015, and projections of compound annual growth rates (CAGRs) through 2024.
3) Identifications of new market opportunities and targeted promotional plans for smart airports.
4) Discussion of research and development, and the demand for new products and new applications.
5) Comprehensive company profiles of major players in the industry.

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REPORT SCOPE:

The scope of the report includes a detailed study of global and regional markets for smart airports market for variations in the growth of the industry in certain regions.

The report covers detailed competitive outlook including the market share and company profiles of the key participants operating in the global market. Key players profiled in the report include Amadeus IT Group SA, IBM Corporation, Vision-Box, Siemens AG, Honeywell International, Inc., CISCO System, Inc., Thales Group, SITA, QinetiQ Group PLC, and Raytheon Company. Company profile includes assign such as company summary, financial summary,business strategy and planning, SWOT analysis and current developments.

Reasons to Buy this Report:

1) Obtain the most up to date information available on all smart airports.
2) Identify growth segments and opportunities in the industry.
3) Facilitate decision making on the basis of strong historic and forecast of smart airports data.
4) Assess your competitor's refining portfolio and its evolution.

For more information about this report visit: https://www.sdki.us/sample-request-105660

The dynamic nature of business environment in the current global economy is raising the need amongst business professionals to update themselves with current situations in the market. To cater such needs, Shibuya Data Count provides market research reports to various business professionals across different industry verticals, such as healthcare & pharmaceutical, IT & telecom, chemicals and advanced materials, consumer goods & food, energy & power, manufacturing & construction, industrial automation & equipment and agriculture & allied activities amongst others.

For more information, please contact:

Hina Miyazu

Shibuya Data Count
Email: sales@sdki.jp
Tel: + 81 3 45720790

The post Smart Airports Market: Key Facts, Market Size, Dynamics, Segments and Forecast Predictions Presented and Forecast: 2022-2031 appeared first on Comserveonline.

COMTEX_410887463/2652/2022-07-25T00:40:49

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