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Killexams : IBM Application teaching - BingNews Search results Killexams : IBM Application teaching - BingNews Killexams : Smart Port Market Worth $5.7 Billion by 2027 - Exclusive Report by MarketsandMarkets™

CHICAGO, Aug. 10, 2022 /PRNewswire/ -- Smart Port Market is projected to grow from USD 1.9 billion in 2022 to USD 5.7 billion by 2027, at a CAGR of 24.3%, according to a new report by MarketsandMarkets™. Growing maritime trade activities internationally across industries, Growing decarbonization of the maritime industry which increases the health benefit and reduce carbon emission globally, hence these are driving the demand for smart ports globally. As the real-time geospatial data Strengthen a large number of port operations such as it improved the freight operations by increasing visibility and assisting shipping companies which will help to navigate the current supply chain and it helped to grow the Smart Port Market. Moreover, the fourth industrial revolution, referred to as Industry 4.0 (4IR), is the cyber-physical transformation of manufacturing also creating demand for the smart port as the primary application of 4IR was for smart factories so it will help in increasing the demand for the Smart Port Market. An example of 4IR technology used in the ports is Dongwon Global Terminal (DGT) which is selected for CyberLogitec's terminal operating system (TOS) so it is used for fully automated Busan New Port terminal, with using current technology such as Big data and Internet of Things (IoT). As the government initiatives in the development of smart port infrastructure which is made to opportunities for growth of the Smart Port Market. In the current scenario as new technology develops so it was helping to upgrade the existing port with a large amount of development in the new port. As per this opportunity, the European Union (EU) is involved to upgrade and developing new ports because of commodities that are imported and exported, and around exchange within the EU.

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The Smart Port Market includes prominent Tier I and Tier II manufacturers like IBM, ABB, General Electric, Accenture, and Siemens. These companies have their manufacturing facilities spread across Europe, North America, Asia Pacific, and other regions. Technology like the Internet of Things (IoT) which is involved machine learning, sensor, connectivity, process, and people. The software which has the Internet of Things (IoT) is the amongst the largest share of technology in the smart port industry. This technology is used to increase the efficiency of the smart port and the growth of these industries is expected to also lead to the growth of the Smart Port Market.

The port type segment is expected to dominate the Smart Port Market, by seaport, during the forecast period.

There are two types of port types such as seaport and inland port. A seaport is a protected area on a sea location where ships stop to load and unload cargo. As the increasing seaborne trade activities help the growth of the smart port industry. According to UNCTADs Global Commerce Update, which was published in July 2022, the value of global trade grew to a record USD 7.7 trillion in Q1 2022, a rise of approximately USD 1 trillion from Q1 2021. Rising commodity prices, which represent an increase of about USD 250 million from Q4 2021, are the main factor driving the rise since trade volumes have climbed to a noticeably lesser level. The Seaport footprints will need to expand by up to 3,689 square kilometers (1,424 square miles) globally over the next three decades to account for both sea level rise and rising demand, according to a report released by Earths Future in 2020.

The throughput capacity segment is expected to be the largest and fastest growing market, of extensively busy ports, during the forecast period.

There are three types of throughput capacity segments such as extensively busy ports, moderately busy ports, and scarcely busy ports. As the extensively busy ports handle a capacity of more than 19 million TEU per year. There is some region in which there are some ports globally that come under extensively busy ports such are the region China, Singapore, & South Korea which are the major corridor for trade activities. These ports have the smart infrastructure and have made significant investments in port features such as terminal automation, cargo handling, port community systems, smart infrastructure, and safety and security.

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The Asia Pacific likely to emerge as the largest Smart Port Market

The Asia Pacific region accounted for the largest share of the Smart Port Market in 2021. The region is experiencing rapid development fueled by the growth of major economies, such as China, Singapore, India, South Korea, Japan, Hong Kong, Indonesia, and Australia. It is a dominant region in the smart port industry. It is also considered a lucrative region for maritime trade. As the increase in seaborne trade has subsequently led to an increase in demand for ships that are used to transport manufactured goods to various regions globally. The growth of the smart port industry decreased as a result of the Covid-19 pandemic in 2020 which directly impacted this region, which declined by around 1.5% in 2020. The rise in the number of ships will contribute to the growth of propulsion systems and engines in the Asia Pacific region. As per the Journal of Commerce's annual list of the top 50 container ports in the global in these Asia Pacific has been ranked the 9th out of the 10. Regarding port development, the ports in these regions have grown in tandem with the economic development of most countries which reflecting the region has the fastest economic growth. The Organization for Economic Cooperation and Development (OECD) projects that by 2050, the volume of maritime trade will have tripled, raising the demand for global freight. The Asia Pacific region has an increasing number of ports each year, and those that already exist are expanding. This is because the majority of cargo transit occurs via maritime routes. The program aims to boost the effectiveness of the regions current port facilities through automation, information technology, streamlining of work procedures, the use of new equipment, and employee training. It will help to grow in the smart port industry and drive forward.

The Smart Port Market is dominated by major players that have a wide regional presence. Some of the key players in the Smart Port Market are IBM (US), ABB (Switzerland), General Electric (US), Accenture (Ireland), Siemens (Germany), Trelleborg (Sweden), Wipro (India), Port of Rotterdam (Netherlands), and Royal HaskoningDHV (Netherlands).

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Artificial Intelligence Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing), Deployment Mode, Organization Size, Business Function (Law, Security), Vertical and Region - Global forecast to 2027

IoT in Smart Cities Market by Offering, Solution (Remote Monitoring, Network Management, and Reporting and Analytics), Service, Application (Smart Transportation, Smart Building, and Smart Utilities) and Region - Global Forecast to 2026

Smart Cities Market by Focus Area, Smart Transportation, Smart Buildings, Smart Utilities, Smart Citizen Services (Public Safety, Smart Healthcare, Smart Education, Smart Street Lighting, and E-Governance), and Region (2022 - 2026)

About MarketsandMarkets™ 

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies' revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

Our 850 fulltime analyst and SMEs at MarketsandMarkets™ are tracking global high growth markets following the "Growth Engagement Model – GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets™ now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets™ is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

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Tue, 09 Aug 2022 22:30:00 -0500 en text/html
Killexams : NetSPI rolls out 2 new open-source pen-testing tools at Black Hat

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

Preventing and mitigating cyberattacks is a day-to-day — sometimes hour-to-hour — is a massive endeavor for enterprises. New, more advanced techniques are revealed constantly, especially with the rise in ransomware-as-a-service, crime syndicates and cybercrime commoditization. Likewise, statistics are seemingly endless, with a regular churn of new, updated reports and research studies revealing worsening conditions. 

According to Fortune Business Insights, the worldwide information security market will reach just around $376 billion in 2029. And, IBM research revealed that the average cost of a data breach is $4.35 million.

The harsh truth is that many organizations are exposed due to common software, hardware or organizational process vulnerabilities — and 93% of all networks are open to breaches, according to another accurate report

Cybersecurity must therefore be a team effort, said Scott Sutherland, senior director at NetSPI, which specializes in enterprise penetration testing and attack-surface management. 

The company today announced the release of two new open-source tools for the information security community: PowerHuntShares and PowerHunt. Sutherland is demoing both at Black Hat USA this week. 

These new tools are aimed at helping defense, identity and access management (IAM) and security operations center (SOC) teams discover vulnerable network shares and Strengthen detections, said Sutherland. 

They have been developed — and released in an open-source capacity — to “help ensure our penetration testers and the IT community can more effectively identify and remediate excessive share permissions that are being abused by bad actors like ransomware groups,” said Sutherland. 

He added, “They can be used as part of a regular quarterly cadence, but the hope is they’ll be a starting point for companies that lacked awareness around these issues before the tools were released.” 

Vulnerabilities revealed (by the good guys)

The new PowerHuntShares capability inventories, analyzes and reports excessive privilege assigned to server message block (SMB) shares on Microsoft’s Active Directory (AD) domain-joined computers. 

SMB allows applications on a computer to read and write to files and to request services from server programs in a computer network.

NetSPI’s new tool helps address risks of excessive share permissions in AD environments that can lead to data exposure, privilege escalation and ransomware attacks within enterprise environments, explained Sutherland. 

“PowerHuntShares is focused on identifying shares configured with excessive permissions and providing data insight to understand how they are related to each other, when they were introduced into the environment, who owns them and how exploitable they are,” said Sutherland. 

For instance, according to a accurate study from cybersecurity company ExtraHop, SMB was the most prevalent protocol exposed in many industries: 34 out of 10,000 devices in financial services; seven out of 10,000 devices in healthcare; and five out of 10,000 devices in state, local and education (SLED).

Enhanced threat hunting

Meanwhile, PowerHunt is a modular threat-hunting framework that identifies signs of compromise based on artifacts from common MITRE ATT&CK techniques. It also detects anomalies and outliers specific to the target environment.

The new tool can be used to quickly collect artifacts commonly associated with malicious behavior, explained Sutherland. It automates the collection of artifacts at scale using Microsoft PowerShell and by performing initial analysis. It can also output .csv files that are easy to consume. This allows for additional triage and analysis through other tools and processes.

“While [the PowerHunt tool] calls out suspicious artifacts and statistical anomalies, its greatest value is simply producing data that can be used by other tools during threat-hunting exercises,” said Sutherland.

NetSPI offers penetration testing-as-a-service (PTaaS) through its ResolveTM penetration testing and vulnerability management platform. With this, its experts perform deep-dive manual penetration testing across application, network and cloud attack surfaces, said Sutherland. Historically, they test more than one million assets to find 4 million unique vulnerabilities.

The company’s global penetration testing team has also developed several open-source tools, including PowerUpSQL and MicroBurst. 

Sutherland underscored the importance of open-source tool development and said that NetSPI actively encourages innovation through collaboration.

Open source offers “the ability to use tools for free to better understand a concept or issue,” he said. And, while most open-source tools may not end up being an enterprise solution, they can bring awareness to specific issues and “encourage exploration of long-term solutions.” 

The ability to customize code is another advantage — anyone can obtain an open-source project and customize it to their needs. 

Ultimately, open source offers an “incredibly powerful” ability, said Sutherland. “It’s great to be able to learn from someone else’s code, build off that idea, collaborate with a complete stranger and produce something new that you can share with thousands of people instantly around the world.”

Specifically relating to PowerHuntShares and PowerHunt, he urged the security community to check them out and contribute to them. 

“This will allow the community to better understand our SMB share attack surfaces and Strengthen strategies for remediation — together,” he said.

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Tue, 09 Aug 2022 09:00:00 -0500 Taryn Plumb en-US text/html
Killexams : Astadia Publishes Mainframe to Cloud Reference Architecture Series

The guides leverage Astadia’s 25+ years of expertise in partnering with organizations to reduce costs, risks and timeframes when migrating their IBM mainframe applications to cloud platforms

BOSTON, August 03, 2022--(BUSINESS WIRE)--Astadia is pleased to announce the release of a new series of Mainframe-to-Cloud reference architecture guides. The documents cover how to refactor IBM mainframes applications to Microsoft Azure, Amazon Web Services (AWS), Google Cloud, and Oracle Cloud Infrastructure (OCI). The documents offer a deep dive into the migration process to all major target cloud platforms using Astadia’s FastTrack software platform and methodology.

As enterprises and government agencies are under pressure to modernize their IT environments and make them more agile, scalable and cost-efficient, refactoring mainframe applications in the cloud is recognized as one of the most efficient and fastest modernization solutions. By making the guides available, Astadia equips business and IT professionals with a step-by-step approach on how to refactor mission-critical business systems and benefit from highly automated code transformation, data conversion and testing to reduce costs, risks and timeframes in mainframe migration projects.

"Understanding all aspects of legacy application modernization and having access to the most performant solutions is crucial to accelerating digital transformation," said Scott G. Silk, Chairman and CEO. "More and more organizations are choosing to refactor mainframe applications to the cloud. These guides are meant to assist their teams in transitioning fast and safely by benefiting from Astadia’s expertise, software tools, partnerships, and technology coverage in mainframe-to-cloud migrations," said Mr. Silk.

The new guides are part of Astadia’s free Mainframe-to-Cloud Modernization series, an ample collection of guides covering various mainframe migration options, technologies, and cloud platforms. The series covers IBM (NYSE:IBM) Mainframes.

In addition to the reference architecture diagrams, these comprehensive guides include various techniques and methodologies that may be used in forming a complete and effective Legacy Modernization plan. The documents analyze the important role of the mainframe platform, and how to preserve previous investments in information systems when transitioning to the cloud.

In each of the IBM Mainframe Reference Architecture white papers, readers will explore:

  • Benefits, approaches, and challenges of mainframe modernization

  • Understanding typical IBM Mainframe Architecture

  • An overview of Azure/AWS/Google Cloud/Oracle Cloud

  • Detailed diagrams of IBM mappings to Azure/AWS/ Google Cloud/Oracle Cloud

  • How to ensure project success in mainframe modernization

The guides are available for obtain here:

To access more mainframe modernization resources, visit the Astadia learning center on

About Astadia

Astadia is the market-leading software-enabled mainframe migration company, specializing in moving IBM and Unisys mainframe applications and databases to distributed and cloud platforms in unprecedented timeframes. With more than 30 years of experience, and over 300 mainframe migrations completed, enterprises and government organizations choose Astadia for its deep expertise, range of technologies, and the ability to automate complex migrations, as well as testing at scale. Learn more on

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Killexams : Alexa and Siri, listen up! Research team is teaching machines to really hear us

University of Virginia cognitive scientist Per Sederberg has a fun experiment you can try at home. Take out your smartphone and, using a voice assistant such as the one for Google's search engine, say the word "octopus" as slowly as you can.

Your device will struggle to reiterate what you just said. It might supply a nonsensical response, or it might deliver you something close but still off—like "toe pus." Gross!

The point is, Sederberg said, when it comes to receiving auditory signals like humans and other animals do—despite all of the computing power dedicated to the task by such heavyweights as Google, Deep Mind, IBM and Microsoft—current artificial intelligence remains a bit hard of hearing.

The outcomes can range from comical and mildly frustrating to downright alienating for those who have .

But using accurate breakthroughs in neuroscience as a model, UVA collaborative research has made it possible to convert existing AI into technology that can truly hear us, no matter at what pace we speak.

The deep learning tool is called SITHCon, and by generalizing input, it can understand words spoken at different speeds than a network was trained on.

This new ability won't just change the end-user's experience; it has the potential to alter how artificial neural networks "think"—allowing them to process information more efficiently. And that could change everything in an industry constantly looking to boost processing capability, minimize and reduce AI's massive carbon footprint.

Sederberg, an associate professor of psychology who serves as the director of the Cognitive Science Program at UVA, collaborated with graduate student Brandon Jacques to program a working demo of the technology, in association with researchers at Boston University and Indiana University.

"We've demonstrated that we can decode speech, in particular scaled speech, better than any model we know of," said Jacques, who is first author on the paper.

Sederberg added, "We kind of view ourselves as a ragtag band of misfits. We solved this problem that the big crews at Google and Deep Mind and Apple didn't."

The research was presented Tuesday at the high-profile International Conference on Machine Learning, or ICML, in Baltimore.

Current AI training: Auditory overload

For decades, but more so in the last 20 years, companies have built complex artificial neural networks into machines to try to mimic how the recognizes a changing world. These programs don't just facilitate basic information retrieval and consumerism; they also specialize to predict the stock market, diagnose medical conditions and surveil for national security threats, among many other applications.

"At its core, we are trying to detect meaningful patterns in the world around us," Sederberg said. "Those patterns will help us make decisions on how to behave and how to align ourselves with our environment, so we can get as many rewards as possible."

Programmers used the brain as their initial inspiration for the technology, thus the name "neural networks."

"Early AI researchers took the basic properties of neurons and how they're connected to one another and recreated those with ," Sederberg said.

For complex problems like teaching machines to "hear" language, however, programmers unwittingly took a different path than how the brain actually works, he said. They failed to pivot based on developments in the understanding of neuroscience.

"The way these large companies deal with the problem is to throw computational resources at it," the professor explained. "So they make the neural networks bigger. A field that was originally inspired by the brain has turned into an engineering problem."

Essentially, programmers input a multitude of different voices using different words at different speeds and train the large networks through a process called back propagation. The programmers know the responses they want to achieve, so they keep feeding the continuously refined information back in a loop. The AI then begins to deliver appropriate weight to aspects of the input that will result in accurate responses. The sounds become usable characters of text.

"You do this many millions of times," Sederberg said.

While the training data sets that serve as the inputs have improved, as have computational speeds, the process is still less than ideal as programmers add more layers to detect greater nuances and complexity—so-called "deep" or "convolutional" learning.

More than 7,000 languages are spoken in the world today. Variations arise with accents and dialects, deeper or higher voices—and of course faster or slower speech. As competitors create better products, at every step, a computer has to process the information.

That has real-world consequences for the environment. In 2019, a study found that the carbon dioxide emissions from the energy required in the training of a single large deep-learning model equated to the lifetime footprint of five cars.

Three years later, the data sets and neural networks have only continued to grow.

How the brain really hears speech

The late Howard Eichenbaum of Boston University coined the term "time cells," the phenomenon upon which this new AI research is constructed. Neuroscientists studying time cells in mice, and then humans, demonstrated that there are spikes in neural activity when the brain interprets time-based input, such as sound. Residing in the hippocampus and other parts of the brain, these individual neurons capture specific intervals—data points that the brain reviews and interprets in relationship. The cells reside alongside so-called "place cells" that help us form mental maps.

Time cells help the brain create a unified understanding of sound, no matter how fast or slow the information arrives.

"If I say 'oooooooc-toooooo-pussssssss,' you've probably never heard someone say 'octopus' at that speed before, and yet you can understand it because the way your brain is processing that information is called 'scale invariant,'" Sederberg said. "What it basically means is if you've heard that and learned to decode that information at one scale, if that information now comes in a little faster or a little slower, or even a lot slower, you'll still get it."

The main exception to the rule, he said, is information that comes in hyper-fast. That data will not always translate. "You lose bits of information," he said.

Cognitive researcher Marc Howard's lab at Boston University continues to build on the time cell discovery. A collaborator with Sederberg for over 20 years, Howard studies how human beings understand the events of their lives. He then converts that understanding to math.

Howard's equation describing auditory memory involves a timeline. The timeline is built using time cells firing in sequence. Critically, the equation predict that the timeline blurs—and in a particular way—as sound moves toward the past. That's because the brain's memory of an event grows less precise with time.

"So there's a specific pattern of firing that codes for what happened for a specific time in the past, and information gets fuzzier and fuzzier the farther in the past it goes," Sederberg said. "The cool thing is Marc and a post-doc going through Marc's lab figured out mathematically how this should look. Then neuroscientists started finding evidence for it in the brain."

Time adds context to sounds, and that's part of what gives what's spoken to us meaning. Howard said the math neatly boils down.

"Time cells in the brain seem to obey that equation," Howard said.

UVA codes the voice decoder

About five years ago, Sederberg and Howard identified that the AI field could benefit from such representations inspired by the brain. Working with Howard's lab and in consultation with Zoran Tiganj and colleagues at Indiana University, Sederberg's Computational Memory Lab began building and testing models.

Jacques made the big breakthrough about three years ago that helped him do the coding for the resulting proof of concept. The algorithm features a form of compression that can be unpacked as needed—much the way a zip file on a computer works to compress and store large-size files. The machine only stores the "memory" of a sound at a resolution that will be useful later, saving storage space.

"Because the information is logarithmically compressed, it doesn't completely change the pattern when the input is scaled, it just shifts over," Sederberg said.

The AI training for SITHCon was compared to a pre-existing resource available free to researchers called a "temporal convolutional network." The goal was to convert the network from one trained only to hear at specific speeds.

The process started with a basic language—Morse code, which uses long and short bursts of sound to represent dots and dashes—and progressed to an open-source set of English speakers saying the numbers 1 through 9 for the input.

In the end, no further training was needed. Once the AI recognized the communication at one speed, it couldn't be fooled if a speaker strung out the words.

"We showed that SITHCon could generalize to speech scaled up or down in speed, whereas other models failed to decode information at speeds they didn't see at training," Jacques said.

Now UVA has decided to make its code available for free, in order to advance the knowledge. The team says the information should adapt for any neural network that translates voice.

"We're going to publish and release all the code because we believe in open science," Sederberg said. "The hope is that companies will see this, get really excited and say they would like to fund our continuing work. We've tapped into a fundamental way the brain processes information, combining power and efficiency, and we've only scratched the surface of what these AI models can do."

But knowing that they've built a better mousetrap, are the researchers thinking at all about how the new technology might be used?

Sederberg said he's optimistic that AI that hears better will be approached ethically, as all technology should be in theory.

"Right now, these companies have been running into computational bottlenecks while trying to build more powerful and useful tools," he said. "You have to hope the positives outweigh the negatives. If you can offload more of your thought processes to computers, it will make us a more productive world, for better or for worse."

Jacques, a new father, said, "It's exciting to think our work may be giving birth to a new direction in AI."

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Killexams : Great Learning to host a webinar on “Cloud Computing: Applications in Healthcare and career prospects” on August 8

New Delhi: Great Learning, a leading global edtech company for higher and professional education is hosting a webinar for working professionals pursuing a career in Cloud Computing. The webinar will provide insights on Cloud as a domain and also how to advance career in the domain. This engaging live session will be followed by a Q/A round with Krishnan L Narayan (President and Chief Technologist – Netracity. LLC | Ex – IBM) and Mamta Kajla (Senior Program Manager, Cloud Operations – Great Learning); where the speakers will talk about in-demand roles, key skills, and career paths. Furthermore, they will also discuss how the healthcare industry is adopting cloud services across the ecosystem. And last but not the least, the session will throw light on  how the PG Program in Cloud Computing offered by Great Lakes Executive Learning will help learners advance their careers.

This session will be conducted from 7:00pm IST, on August 8, 2022.

Registration Link for the Webinar (Free) –

Fri, 05 Aug 2022 03:16:00 -0500 en-US text/html
Killexams : Impatient for workers, businesses help students take college shortcuts

STAMFORD, Conn. — After high school, Mohameth Seck enrolled in college. But he dropped out in his sophomore year to spend time developing an app.

“I was taking classes that weren’t really interesting me,” said Seck, now 25, who wanted to work in tech. “I was, like, ‘I have to wait four years to get to that point I want to get to?’ ”

Seck instead learned to code in a one-year programming course run by a nonprofit, where he stuck around for an extra year to master more advanced skills. Many of his friends took the same shortcut to good jobs at companies including Sony and Lockheed Martin.

While he continues working on website projects, Seck is now teaching coding to high school students at a skills academy in Stamford.

Mohameth Seck, an instructor at the Synchrony Skills Academy, which teaches coding and other tech skills to high school students and older adults. Credit: Yunuen Bonaparte for The Hechinger Report

It’s part of an accelerating movement of noncredit, short-term training programs, not just in technology, but in many fields for which students are impatient for jobs and employers for workers who want to leapfrog their way to careers — and do it without necessarily spending the years and money it takes to earn a university degree.

These are among the ways “employers are creating the solutions they need in order to deal with their talent demands,” said Bridgette Gray, chief customer officer at Opportunity@Work, a nonprofit that encourages employers to hire more people without degrees.

College, Gray noted, may not be right for everyone. When her own son left college after a semester, she gave him the option of several workforce training programs. He chose the nonprofit Per Scholas, which offers tuition-free information technology training. Now, at 27, he’s making more than $90,000 a year. 

The skills academy at which Seck teaches is run by Synchrony, a national financial services company headquartered in Stamford. It opened officially in April with a hearty endorsement from Connecticut Governor Ned Lamont, who praised it as a way to meet employer needs.

Sophia Aguirre, a student at the Synchrony Skills Academy, who learned enough coding to create a website for her father’s landscaping business. Credit: Yunuen Bonaparte for The Hechinger Report

High school students come here after school and in the summer to learn about web development, user experience and other in-demand Topics under the mentorship and guidance of instructors from Connecticut nonprofit District Arts and Education, Synchrony employees and engineering majors from the University of Connecticut. They also practice skills in the hot fields of 3D printing and robotics.

“We really start from the beginning,” said Sophia Aguirre, who graduated from Westhill High School in June and has already learned enough coding to create a website for her father’s landscaping business. “We build those communication skills and confidence with people around us.”

Related: A handful of colleges are finally providing training in a way consumers want it: fast

In a darkened room in Synchrony’s sleek glass headquarters on a tree-lined street in Stamford, Seck is teaching roughly two dozen students to use databases. This week, they’re building basic apps and games using Firebase, a Google platform.

In some cases, the classes have already changed the students’ job plans.

“I had never in the beginning thought of coding,” said Nichole Samaniego, another Westhill graduate, who had previously considered going into biomedical engineering. At the academy, she’s designed a website for her mother, who runs a cleaning service. “After doing this program for almost five months now, I saw that I wanted to change my career.”

Nichole Samaniego, who attended the Synchrony Skills Academy as a high school senior. Samaniego created the website Blue Agua as a class project to raise money for access to water for people who don’t have it. Credit: Yunuen Bonaparte for The Hechinger Report

The program seeks to prepare students for whatever they choose to do after high school, whether that includes college or not. There’s advising for those who decide to go further in their educations. Samaniego, for example, plans to enter the University of Connecticut in the fall, though now with a focus on computer science and engineering.

But the academy also offers interview and application help for students who want to apply directly for jobs at some of the companies with offices in and around Stamford, including Charter Communications,, Conair, Gartner and Pitney Bowes.

The effort is just one example of the country’s blossoming love affair with nondegree skills training. Workforce development nonprofits are springing up everywhere, as are efforts from companies including IBM and Google to bypass slow-moving colleges and universities and create their own courses and credentials.

State and federal agencies are joining the trend.

Connecticut’s Office of Workforce Strategy, for example, is investing $70 million of its American Rescue Plan money to offer grants for short-term industry-recognized credential programs in fields including manufacturing, health care and IT to people who need, or want, to change jobs.

The agency would also like to see more companies get involved in training opportunities, as Synchrony has done, said Niall Dammando, the Office of Workforce Strategy’s chief of staff. It’s in the state’s self-interest to push for more training alternatives like these, he said.

“From a financial perspective it’s really aligned with state goals for economic growth,” Dammando said. “When we’re seeing people who work in lower-skill, lower-wage jobs, that inherently is tied to lower taxpayer revenue that is generated to the state from those individuals, so we have real aligned incentives to get these people into higher-wage jobs.”

Interest in nondegree programs is way up since before the pandemic. Among adults who are considering further education, since 2019, the proportion who say they want nondegree training is up by 12 to 26 percent (depending on their existing level of education), while the proportion who say they’re interested in bachelor’s, associate, masters or doctoral degrees is down by 8 to 29 percent, according to a survey by the consulting firm Eduventures.

Related: Momentum builds behind a way to lower the cost of college: A degree in three years

Experts say that faster-paced, less-expensive training programs are booming in part because the cost of college and the time it takes to earn degrees are weighing on potential students, especially at a time when businesses are desperate for workers.

Nearly one-third of teenagers now say they would prefer their postsecondary education to last two years or less, a survey by the ECMC Group, a nonprofit education corporation, found. More than half are open to something other than a four-year degree. 

It once was common for employers to train workers on the job, said Brad Hershbein, senior economist and deputy director of research at the W.E. Upjohn Institute for Employment Research. But when margins began to tighten toward the end of the millennium, employers began outsourcing that training role to colleges. Now some companies, motivated by a mix of corporate social responsibility and the need for talent, are edging toward a new model in which they create their own, or hire from other, training programs.

“We have lots of job opportunities in lots of areas, specifically in tech,” said Bobbi Davis, vice president for workforce transformation at Synchrony.

A student at the Synchrony Skills Academy learns to use a 3D printer. The academy is part of an accelerating movement of noncredit, short-term programs to train students impatient for jobs. Credit: Yunuen Bonaparte for The Hechinger Report

College and university enrollment has dropped by close to 8 percent since the start of the pandemic, or by 1.3 million students, according to the National Student Clearinghouse Research Center. That includes students older than the traditional 18- to 22-year-olds, many of whom are even more likely to prefer fast-paced training to longer-term certificate and degree programs.

The push over the last few decades to get everyone to go to college may have been flawed, many experts now say. Although college degrees pay off, on average, with lifetime earnings for a bachelor’s degree-holder about 84 percent higher than those for workers with just high school diplomas, according to the Georgetown University Center on Education and the Workforce,  not everyone can get into, afford or succeed in college.

Related: Many certificate programs don’t pay off, but colleges want to keep offering them anyway

“The current college model does not work for many students, especially if you look at the data around Black students or Latinx students or low-income or first-generation students,” said David Soo, chief of staff at Jobs for the Future, a national workforce and education nonprofit. “The current traditional model does not work for them relative to their other peers. So we need to find a better way to serve those students.” 

Instead of telling young people that they need to go to college to succeed, a better message might be that people should take part in some education or training after high school, even if it’s not for a degree, Hershbein said.

Though a college degree is still necessary for many jobs, employers have, in the last year, been reducing their educational requirements, Hershbein said, although that trend began to plateau in May, with businesses likely anticipating a recession. 

Getting more employers to decisively change their hiring practices may require a cultural shift, said Gray, at Opportunity@Work. The organization is working with Maryland Governor Larry Hogan to remove degree requirements from thousands of state jobs there. 

Experts caution that quality in noncredit training programs varies greatly, and students may not know how to compare them. Evaluating programs is likely to become more of a focus as states devote increasing amounts of money to this kind of workforce training.

The front desk at the Synchrony Skills Academy. Synchrony is among a growing number of companies getting involved in job skills training. Credit: Yunuen Bonaparte for The Hechinger Report

There are other cautions, too, about the push for rapid training.

Gerald Chertavian, CEO of Year Up, a workforce training nonprofit, said it’s important that even short-term training efforts teach students how to succeed and behave in professional environments, as he said Year Up’s do.

Six years down the line, average earnings for participants in Year Up’s programs in business operations, IT, sales and other subjects are 30 percent higher than those of a control group, Year Up says, with an average starting salary for graduates of $44,000. Costs are covered by Year Up’s employer partners.

More programs need to have strong connections to employers who will hire their graduates, Chertavian added, and should prove that those graduates go on to good jobs.

Related: Trucking companies train you on the job. Just don’t try to quit.

The kinds of skills he stresses — communication, critical thinking, working in teams — “often aren’t taught in our community colleges,” which increasingly provide nondegree, short-term training, Chertavian said. They also “often aren’t taught in our for-profit bootcamps. And, frankly, many of those organizations aren’t held accountable for the gainful employment that their graduates achieve.”

Anthony Carnevale, executive director of the Georgetown Center, said a push for training is good, but it’s inaccurate to tell people they won’t benefit from a degree.

“Once you get a recession, there are going to be plenty of people wandering the streets looking for jobs,” Carnevale said. “The employer will choose the best one. That is, they’ll take the college degree over the training certificate or the high school degree, which is what they’ve been doing since the’80s.”

Instructor Mohameth Seck teaches students how to code. Seck enrolled in college but quit to learn coding and now teaches it to other people who may or may not go to college themselves. Credit: Yunuen Bonaparte for The Hechinger Report

Researchers at the Georgetown Center predict that by 2030 only 30 percent of jobs will be available to workers with just a high school education. Good jobs, those in which workers can earn a solid wage, will continue to go mostly to people who have bachelor’s degrees, Carnevale said.

The goal of short-term training shouldn’t be to divert students from college, said Lindsay Daugherty, a senior policy researcher at the RAND Corporation.

“We know that a four-year degree provides more than a short-term credential in terms of earnings gains,” Daugherty said. “If what’s happening is that individuals who would have otherwise earned a bachelor’s degree are detouring and stopping off with a short-term credential and not reenrolling, then I think that would be problematic.”

Her research has focused on short-term training credentials from public colleges, which have tried to tap into the demand for quicker training by offering short-term certificates themselves. A study in Ohio showed an earnings bump of about 16 percent, or $4,000, for students who received a certificate from a public institution. That’s less than the expected salary increasae from a bachelor’s degree, but still significant for students who want to support themselves and their families.

“The best outcome is that people have choices,” Carnevale said. “And that we ensure that all the choices lead to a good job.”

This story about training programs was produced by The Hechinger Report, a nonprofit, independent news organization focused on inequality and innovation in education. Sign up for our higher education newsletter.

The Hechinger Report provides in-depth, fact-based, unbiased reporting on education that is free to all readers. But that doesn't mean it's free to produce. Our work keeps educators and the public informed about pressing issues at schools and on campuses throughout the country. We tell the whole story, even when the details are inconvenient. Help us keep doing that.

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Fri, 29 Jul 2022 02:00:00 -0500 en-US text/html
Killexams : Global Education Technology Market Size, Future Business Trends, Upcoming Demand, Innovations and Regional Outlook and Forecast 2022-2031 No result found, try new keyword!Kenneth Research, in its repository of market research reports, have recently added a report on Global Education ... Thu, 28 Jul 2022 16:50:00 -0500 en-US text/html Killexams : Video Streaming Market Size Worth USD 1,690.35 Billion in 2029 | 19.9% CAGR

Fortune Business Insights

According to Fortune Business Insights, the global Video Streaming Market Size is projected to reach USD 1,690.35 billion in 2029, at CAGR of 19.9% during forecast period; Growing Demand for VoD to Enhance Demand for Service

Pune, India, Aug. 10, 2022 (GLOBE NEWSWIRE) -- As per the report published by Fortune Business Insights, The video streaming market is projected to grow from USD 473.39 billion in 2022 to USD 1,690.35 billion by 2029, exhibiting a CAGR of 19.9% during the forecast period. This information is provided by Fortune Business Insights, in its report titled, “Video Streaming Market Share, 2022-2029.” The global video streaming market size was valued at USD 372.07 billion in 2021.

Growing Acceptance of Live Streaming Platforms across Education and Healthcare Sectors to Assist Market Growth

The influence of the COVID-19 pandemic is anticipated to impact the market size of video streaming significantly positively during the forecast period. Additionally, the COVID-19 pandemic has fast-tracked digital transformation globally. The surging implementation of online learning, work from home (WFH) and remote patient monitoring in health services, e-commerce, and other has amplified the demand for services.

Request a demo Copy of the Research Report:

Report Scope:

Report Coverage


Forecast Period


Forecast Period 2022 to 2029 CAGR


2029 Value Projection

USD 1,690.35 billion

Base Year


Video Streaming Market Size in 2021

USD 372.07 billion

Historical Data for


No. of Pages


Regional Insights:

North America to Lead Stoked by Presence of Crucial Players

North America is anticipated to lead the video streaming market share during the forecast period owing to the existence of dominating players. Further, surging number of users for video on demand and video gaming platforms across the U.S. and Canada helps the market growth.

Asia Pacific is estimated to grow with the noticeable CAGR during the forecast period. The market is developing with a substantial growth rate, owing to the rapid adoption of the numerous video streaming solutions such as video on demand and OTT platforms among consumers.

Furthermore, Europe is developing on an average note owing to the surging demand for online live streaming videos and rising adoption of on-demand videos among consumers.

Drivers and Restraints:

Growing Demand for Video on Demand (VoD) Streaming Services to Help Market Growth

Growing number of video on demand services users throughout the globe owing to the rise in consumer expenditure on media and entertainment assists the video streaming market growth. According to the Motion Picture Association Report in 2020, online VoD users jumped to about 1.10 billion during the COVID-19 pandemic and is predicted to reach 2.00 billion users by 2023.

However, the surging worries among users associated with content piracy and protection are anticipated to obstruct corporate operations, declining consumers' viewing content. This is estimated to influence the market growth in the coming years.

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Growing Progression of Advanced Streaming Software to Bolster Market Growth

The scope involves software and content delivery services based on component. Under the software, transcoding and processing, video delivery and distribution, video management, and others are involved. Moreover, software is increasing at reasonable pace owing to rise in the development of progressive streaming platforms by the dominating players.

Growing Number of the OTT Users to Drive Market Growth

In the scope, satellite TV, cable TV, IPTV (internet protocol television), and OTT streaming are measured under the channel. Among these, cable TV is anticipated to hold the greatest share in 2021, owing to the upsurge in the acceptance by the households across the world.

Augmenting Number of E-Sport/Sports Audiences to Spur Market Growth

Based on vertical, the scope includes Video Streaming Market share by education/e-learning, healthcare, government, sports/e-sports, gaming, enterprise and corporate, auction and bidding, fitness & lifestyle, music & entertainment, and others (transportation).

Geographically, the Video Streaming Market is fragmented into five major regions such as North America, Europe, Asia Pacific, the Middle East & Africa, and South America.

Market Segmentations:


By Component

By Channel

By Vertical

  • Education/e-Learning

  • Healthcare

  • Government

  • Sports/eSports

  • Gaming

  • Enterprise and Corporate

  • Auction and Bidding

  • Fitness & Lifestyle

  • Music & Entertainment

  • Other (Transportation)

Competitive Landscape:

Radical Product Launch Declarations by Prime Players to Boost Market Growth

The important players adopt numerous strategies to spur their position in the market as dominating companies. One such key strategy is procuring companies to bolster the brand value among users. Another vital strategy is intermittently launching radical products with a comprehensive study of the market and its target audience.

Key Industry Development:

  • January 2022: IBM Corporation declared an innovative IBM streaming mobile application that globally refines the communications happening in workplace. The mobile application is made accessible on the app store and play store. IBM’s video streaming application permits users to broadcast and live stream videos.

Companies Profiled Mentioned in the Video Streaming Market Report:

Quick Buy – Video Streaming Market Research Report:


  1. What is the video streaming market?

The market is projected to grow from USD 473.39 billion in 2022 to USD 1,690.35 billion by 2029, exhibiting a CAGR of 19.9% during the forecast period.

  1. What is the most successful video streaming service?

IBM Corporation, Alphabet Inc.,, Netflix, Hulu LLC, Brightcove, Apple, Roku, Haivision, Tencent Holdings Ltd.

  1. Which region expected to hold the highest market share in the video streaming industry?

North America is expected to hold the highest market share.

Major Points in TOC:

  • Global Video Streaming Market Size Estimates and Forecasts, By Segments, 2018-2029

    • Key Findings

    • By Component (USD)

    • By Channel (USD)

    • By Vertical (USD)

      • Education/e-Learning

      • Healthcare

      • Government

      • Sports/eSports

      • Gaming

      • Enterprise and Corporate

      • Auction and Bidding

      • Fitness & Lifestyle

      • Music & Entertainment

      • Other (Transportation)

    • By Region (USD)

      • North America

      • South America

      • Europe

      • Middle East & Africa

      • Asia Pacific

  • North America Video Streaming Market Size Estimates and Forecasts, By Segments, 2018-2029

    • Key Findings

    • By Component (USD)

    • By Channel (USD)

    • By Vertical (USD)

      • Education/e-Learning

      • Healthcare

      • Government

      • Sports/eSports

      • Gaming

      • Enterprise and Corporate

      • Auction and Bidding

      • Fitness & Lifestyle

      • Music & Entertainment

      • Other (Transportation)

    • By Country (USD)

      • United States

      • Canada

      • Mexico

  • South America Video Streaming Market Size Estimates and Forecasts, By Segments, 2018-2029

    • Key Findings

    • By Component (USD)

    • By Channel (USD)

    • By Vertical (USD)

      • Education/e-Learning

      • Healthcare

      • Government

      • Sports/eSports

      • Gaming

      • Enterprise and Corporate

      • Auction and Bidding

      • Fitness & Lifestyle

      • Music & Entertainment

      • Other (Transportation)

    • By Country (USD)

      • Brazil

      • Argentina

      • Rest of South America

  • Europe Video Streaming Market Size Estimates and Forecasts, By Segments, 2018-2029

TOC Continued…!

About Us:

Fortune Business Insights™ offers expert corporate analysis and accurate data, helping organizations of all sizes make timely decisions. We tailor innovative solutions for our clients, assisting them to address challenges distinct to their businesses. Our goal is to empower our clients with holistic market intelligence, giving a granular overview of the market they are operating in.

Contact Us:

Fortune Business Insights™ Pvt. Ltd.

US :+1 424 253 0390

UK : +44 2071 939123

APAC : +91 744 740 1245


Tue, 09 Aug 2022 22:04:00 -0500 en-NZ text/html
Killexams : Learning with the Internet of Things and Artificial Intelligence: harnessing their potential No result found, try new keyword!According to the e-learning industry, over 47% of learning management tools will incorporate artificial intelligence within the next three years. Fri, 29 Jul 2022 18:19:58 -0500 en-in text/html Killexams : $63.6 billion Worldwide Cloud Enabling Technologies Industry to 2030 - Featuring BMC Software, HP Development, IBM and Microsoft Among Others

Company Logo

Dublin, July 25, 2022 (GLOBE NEWSWIRE) -- The "Cloud Enabling Technologies Market Size, Share, Trends, By Deployment Mode, By Technology, By Application, By Solution Type, By Service Type, and By Region Forecast to 2030" report has been added to's offering.

The global cloud-enabling technologies market size is expected to reach USD 63.63 Billion in 2030 and register a revenue CAGR of 8.3% over the forecast period, according to the latest report. The cloud-enabling technologies market is expected to grow owing to the rising need for efficient utilization of data center resources and enhanced operational capabilities. Additionally, the increasing adoption of cloud services among small and medium enterprises (SMEs) is anticipated to fuel market growth over the forecast period.

The cloud enabling technologies market comprises various software tools and platforms that enable an enterprise to develop, deploy, and manage its applications on the cloud. Cloud enabling technologies help enterprises in reducing their IT infrastructure cost and improving their operational efficiency.

Rising demand for cloud-based services and applications and the need for reducing operational costs are the major factors driving the growth of the cloud enabling technologies market. Majority of cloud solution providers are still in the early stages of adoption and are focused on providing basic cloud services. However, providers have started to offer new capabilities to enable enterprises to take advantage of cloud technologies for their digital transformation initiatives. These include DevOps automation, microservices-based application development, and serverless computing.

In addition, solution providers are also investing in research and development to create new cloud-based services and applications that can address the needs of enterprises across different industries. For instance, IBM has been investing in blockchain technology to create a decentralized platform that can be used by enterprises to streamline their operations.

Various features of cloud services including scalability, reduced IT cost, pay-per-use model, and others are fuelling the growth of the cloud enabling technologies market. The cloud enabling technologies market is expected to grow from USD Things like big data, gaming, and social media networks have been a major source of data. This has led to an increase in the demand for storage space on remote servers. Cloud services are being used to store and manage this data.

Deployment of cloud can reduce the overall IT cost by optimizing the data center resources. Capgemini's research indicates that the use of cloud can lead to an 18% reduction in the total IT cost. Cloud enabling technologies can broadly be classified into four categories, namely, infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and business process as a service (BPaaS).

IaaS includes solutions such as storage, servers, and networking, which can be delivered to the customers on demand over the Internet. PaaS solutions provide a platform for developing, testing, and deploying cloud-based applications. SaaS solutions are application oriented and are delivered to the customers on demand. BPaaS solutions help in automating business processes, such as human resource (HR) and customer relationship management (CRM).

Some Key Highlights From the Report

  • On 12 November 2021, Microsoft Corporation (NASDAQ: MSFT) announced that it had completed the acquisition of M12, Microsoft's venture fund. The fund has now been renamed to Ignite and will be managed by a team within Microsoft Ventures. This move signals Microsoft's continued focus on startups and their role in the company's future.

  • Public cloud segment revenue is expected to register faster revenue growth rate during the forecast period due to the increasing adoption of public cloud services by small and medium enterprises (SMEs).The Asia Pacific cloud enabling technologies market is expected to grow at the highest CAGR during the forecast period due to the presence of a large number of SMEs in the region.

  • Multitenant technology segment accounted for the largest revenue share in 2021 due to the high demand for multitenancy in the cloud market. In addition, the segment is expected to grow at a CAGR of over 25% during the forecast period.

  • BFSI segment revenue is expected to register a steady growth rate during the forecast period due to the increasing demand for cloud-based banking and insurance applications among small and medium enterprises.

  • The healthcare sector is anticipated to grow at a significant pace owing to the rising adoption of cloud-based healthcare applications such as electronic health records (EHRs), enterprise resource planning (ERP), and patient management systems. The education sector is also expected to exhibit a significant growth rate due to the increasing adoption of cloud-based education applications and solutions among educational institutions.

Companies profiled in the global market report include BMC Software, Inc., HP Development Company, LP., IBM, Microsoft, Dell Technologies, Oracle, Citrix Systems, Inc., Broadcom, Parallels International GmbH, and SAP.

Key Topics Covered:

Chapter 1. Market Synopsis

Chapter 2. Executive Summary

Chapter 3. Indicative Metrics

Chapter 4. Cloud Enabling Technologies Market Segmentation & Impact Analysis
4.1. Cloud Enabling Technologies Market Material Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Market indicators analysis
4.2.2. Market drivers analysis Increasing digitalization across industries Increasing demand for cloud-based services
4.2.3. Market restraints analysis Limited control and flexibility Rising cyber threat
4.3. Technological Insights
4.4. Regulatory Framework
4.5. Price trend Analysis
4.6. Customer Mapping
4.7. Covid-19 Impact Analysis
4.8. Global Recession Influence

Chapter 5. Cloud Enabling Technologies Market By Deployment Mode Insights & Trends
5.1. Deployment Mode Dynamics & Market Share, 2022 & 2030
5.2. Public Cloud
5.2.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
5.2.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
5.3. Private Cloud
5.3.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
5.3.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
5.4. Hybrid Cloud
5.4.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
5.4.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)

Chapter 6. Cloud Enabling Technologies Market By Technology Insights & Trends
6.1. Technology Dynamics & Market Share, 2022 & 2030
6.2. Broadband Networks & Internet Architecture
6.2.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
6.2.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
6.3. Data Center Technology
6.3.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
6.3.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
6.4. Virtualization Technology
6.4.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
6.4.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
6.5. Web Technology
6.5.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
6.5.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
6.6. Multitenant Technology
6.6.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
6.6.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)

Chapter 7. Cloud Enabling Technologies Market By Application Insights & Trends
7.1. Application Dynamics & Market Share, 2022 & 2030
7.2. BFSI
7.2.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
7.2.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
7.3. Telecom & IT
7.3.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
7.3.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
7.4. Manufacturing & Retail
7.4.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
7.4.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
7.5. Healthcare
7.5.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
7.5.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
7.6. Others
7.6.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
7.6.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)

Chapter 8. Cloud Enabling Technologies Market By Solution Type Insights & Trends
8.1. Solution Type Dynamics & Market Share, 2022 & 2030
8.2. Service-oriented Architecture (SOA) Solution
8.2.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
8.2.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
8.3. Autonomic Computing
8.3.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
8.3.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)

Chapter 9. Cloud Enabling Technologies Market By Service Type Insights & Trends
9.1. Service Type Dynamics & Market Share, 2022 & 2030
9.2. Platform as a Service (PaaS)
9.2.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
9.2.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
9.3. Infrastructure as a Service (IaaS)
9.3.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
9.3.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)
9.4. Software as a Service (SaaS)
9.4.1. Market estimates and forecast, 2019 - 2030 (USD Billion)
9.4.2. Market estimates and forecast, By Region, 2019 - 2030 (USD Billion)

Chapter 10. Cloud Enabling Technologies Market Regional Outlook

Chapter 11. Competitive Landscape
11.1. Market Revenue Share by Manufacturers
11.2. Manufacturing Cost Breakdown Analysis
11.3. Mergers & Acquisitions
11.4. Market positioning
11.5. Strategy Benchmarking
11.6. Vendor Landscape

Chapter 12. Company Profiles
12.1. BMC Software, Inc.
12.1.1. Company Overview
12.1.2. Financial Performance
12.1.3. Technology Insights
12.1.4. Strategic Initiatives
12.2. HP Development Company, LP
12.2.1. Company Overview
12.2.2. Financial Performance
12.2.3. Technology Insights
12.2.4. Strategic Initiatives
12.3. IBM
12.3.1. Company Overview
12.3.2. Financial Performance
12.3.3. Technology Insights
12.3.4. Strategic Initiatives
12.4. Microsoft
12.4.1. Company Overview
12.4.2. Financial Performance
12.4.3. Technology Insights
12.4.4. Strategic Initiatives
12.5. Dell Technologies
12.5.1. Company Overview
12.5.2. Financial Performance
12.5.3. Technology Insights
12.5.4. Strategic Initiatives
12.6. Oracle
12.6.1. Company Overview
12.6.2. Financial Performance
12.6.3. Technology Insights
12.6.4. Strategic Initiatives
12.7. Citrix Systems, Inc.
12.7.1. Company Overview
12.7.2. Financial Performance
12.7.3. Technology Insights
12.7.4. Strategic Initiatives
12.8. Broadcom
12.8.1. Company Overview
12.8.2. Financial Performance
12.8.3. Technology Insights
12.8.4. Strategic Initiatives
12.9. Parallels International GmbH
12.9.1. Company Overview
12.9.2. Financial Performance
12.9.3. Technology Insights
12.9.4. Strategic Initiatives
12.10. SAP
12.10.1. Company Overview
12.10.2. Financial Performance
12.10.3. Technology Insights
12.10.4. Strategic Initiatives

For more information about this report visit

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