Artificial intelligence (AI) has been a significant area of interest for Microsoft in the latest past. A number of partnerships have been undertaken by the tech giant with specific regards to this field. These include the involvement of firms like General Assembly, platforms such as OpenClassrooms, collaborations with higher education institutions, and more. As recently as yesterday, the company detailed how its AI-centric applications have been deployed by scientists to confront environmental challenges.
Today, Microsoft has announced the release of a new book, The Future Computed: AI & Manufacturing. This is the second book of its The Future Computed series, with the first one, namely The Future Computed: Artificial Intelligence and its role in society being launched last year. The new one has been penned by Greg Shaw, co-author of Microsoft CEO Satya Nadella's Hit Refresh - which was released in 2017.
The primary focus, as is apparent from the title, resides upon the transformative nature of AI in the manufacturing sector, and how it has helped drive innovation in it through a number of ways. These include the enabling of safer work environments, new products and services, and optimizing of digital operations. The six key learnings from the book have been identified as follows:
Microsoft believes it is important to view the complex questions raised by the increasing use of AI in high regard. This series of books is aimed toward encouraging broader conversations surrounding AI, and hopefully helping empower people in a respectful and mutually beneficial environment. Particular focus has been laid upon manufacturing in the second book, as industry holds a central role as the forefront of adoption of new transformational tech.
Çağlayan Arkan, Global Lead, Manufacturing and Resources Industry, Microsoft - who has also written the foreword for the book -, notes some of its significant features in the following words:
"The book also looks at how manufacturers will need to engage with governments and civil society to help craft new regulatory frameworks, guiding the use of this new technology as the industry transforms. These frameworks should address key societal challenges, including the need to retrain workers to take on new roles and be part of a talent supply chain capable of realizing the potential of AI in manufacturing. They should also address how to store the data generated from connected supply chains and digital factories safely, securely, and in ways that respect privacy and ensure that AI is used ethically. Drawing on insights from customers and policymakers from around the world The Future Computed: AI and Manufacturing offers Microsoft’s perspective on how we might move forward on these important issues."
Various manufacturing customers including ABB, Colfax, Jabil, Tetra Pak, Toyota Materials Handling and ZF, have provided their thoughts about their journey through AI. Similarly, workforce experts, union leaders, and policymakers have also been interviewed. The importance of cultural change with respect to digital transformation in today's age has been specifically remarked upon as well.
As such, the book is noted to be a useful guide for essentially anyone interested in learning more about the significant role AI will play in the future of manufacturing. It is available for free obtain in the form of a PDF file here. Additional resources related to its content can be accessed through Microsoft's recently introduced online course, AI Business School, while the people and companies mentioned in the book can be read more about here.
Visual Studio 2015 has arrived.
Microsoft has announced the release to manufacturing of the latest version of its flagship IDE, along with the release of .NET 4.6. Joining Microsoft’s family of Visual Studio products including Visual Studio Community, Visual Studio Enterprise, Visual Studio Online and Visual Studio Code, VS 2015 is geared toward more robust agile development and DevOps capabilities. The release includes a new set of DevOps services featuring a cross-platform build service, an automated unit testing tool, and a Dev/Test service delivered both via the cloud in Visual Studio Online and on-premises through Team Foundation Server.
Soma Somasegar, corporate vice president of the developer division at Microsoft, highlighted three main themes Microsoft focused on with VS 2015: developer productivity, “a holistic set of DevOps services,” and in particular giving developers choices when it comes to tooling.
(Related: Microsoft announces VS 2015 as major tool upgrade for mobile-first, cloud-first world)
“Developers want a choice of being able to build any kind of application targeting any platform they care about, which is what we’re delivering with VS 2015,” said Somasegar. “It’s about this interoperability enabling you to pick and choose the technologies you want to use for the platforms you want to target as you build a mobile, cloud, connected or any other type of application.”
Visual Studio 2015 RTM’s suite of DevOps services include:
In terms of developer productivity, Somasegar highlighted VS 2015’s enhanced debugging and profiling capabilities through a single diagnostics tool window. The window provides developers full application debugging, performance and profiling data in near real time in tandem with Microsoft’s Application Insights service integrated within the IDE.
Somasegar also pointed to the Roslyn compiler as an enabler for enhanced code editor capabilities in both C# and Visual Basic. One feature called Lightbulb, he explained, highlights potential “gotchas” or errors related to semantics or syntax in a developer’s code for better in-editor productivity.
In the context of Microsoft’s impending release of Windows 10, Somasegar explained how all the features and functionality in Visual Studio 2015 feed back into the cycle of developing Universal Windows apps for Microsoft’s next-generation ecosystem of devices.
“The Windows device ecosystem, from PCs, laptops, tablets and phones, to newer form factors like the HoloLens, is tremendous,” said Somasegar. “We want to unify our application development platform so a developer can take advantage of the entire ecosystem. With Visual Studio 2015 hand-in-hand with Windows 10, we’ve worked with the Windows team to deliver a set of tools to build Universal Windows apps and thereby broaden the reach of your applications.”
Visual Studio 2015 is available on visualstudio.com and for download here, and .NET 4.6 is available here.
Over the past year, Microsoft added 40,000 additional people to its roster which represents a 22% year over year increase and a total of 221,000 employees for the company as of June 30, 2022.
According to the company's Form 10K SEC filing, Microsoft's Seattle base consists of 122,000 while another 99,000 worldwide. Microsoft breaks down the sectors in which it employees' people in the following statement:
As of June 30, 2022, we employed approximately 221,000 people on a full-time basis, 122,000 in the U.S. and 99,000 internationally. Of the total employed people, 85,000 were in operations, including manufacturing, distribution, product support, and consulting services; 73,000 were in product research and development; 47,000 were in sales and marketing; and 16,000 were in general and administration. Certain employees are subject to collective bargaining agreements.
Two things should be noted about Microsoft topping its annual employee record this June, one, up to 8,000 employees are being tallied as acquisitional hirings from completed deals with Nuance and Xander where they provided around 6,500 and 1,500 employees respectfully.
The other thing to note about Microsoft's record hiring run is that the filing accounts for the month before the company typically announces its summer downsizing infinitives.
Earlier in July, Microsoft announced cuts to some positions within the company that amounted to 2,000 fewer employees in addition to enacting a temporary hiring freeze for many open positions.
As the world braces for a predicted recession, Microsoft's CFO Amy Hood assured investors that the company will be measuring its employment status over the course of the new fiscal year, as it looks to focus on "key growth areas."
As Geekwire notes, Microsoft's current breakdown is disproportionally focused on operations rather than research and development.
CommScope deploys its integrated CBRS network solution with Microsoft Azure private MEC to create agile factories and transform workforce efficiency
HICKORY, N.C., July 21, 2022--(BUSINESS WIRE)--CommScope (NASDAQ: COMM) announced today that it has collaborated with Microsoft to create a converged private wireless network solution, enabling new low-latency and mobile applications to transform industrial manufacturing.
CommScope successfully deployed the combined solution—using Microsoft Azure private MEC and CommScope CBRS access points—in its own manufacturing innovation center in Shakopee, Minnesota. Through this cloud-connected, low-latency private wireless network, CommScope is already improving both the operational efficiency and manufacturing agility of its facilities.
This solution brings augmented reality applications and cloud-based manufacturing tools to factory engineers. This includes immersive technology training, aggregated assembly line data, and real-time remote assistance to Excellerate production ramp times and worker capabilities. CommScope also leverages its low-latency wireless network to mobilize testing equipment across the production line. As an example, specialized microscopes are now mobilized so fiber optic quality testing can be done anywhere in real time as opposed to pulling product off the line.
"CommScope is excited to work with Microsoft to enable the next generation of private wireless networks," said Upendra Pingle, SVP Intelligent Cellular Networks, CommScope. "We have deployed Microsoft’s private MEC platform in combination with CBRS access points in our own manufacturing innovation center to Excellerate operational efficiencies. Together, we are showcasing the immediate, real-world advantages of private networking in industrial manufacturing, as our combined solution paves the way for the evolution of private wireless networks and manufacturing."
"We see a tremendous opportunity to transform workforce efficiency by making it easy to deploy and develop private wireless that can underpin agile factories," said Shriraj Gaglani, GM for Azure for Operators at Microsoft. "We collaborated with CommScope to implement use cases that increase worker and production line efficiency, and to help incubate and inspire industry 4.0 transformations."
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(MENAFN- Frost & Sullivan) Factories of the Future Take Shape on a Foundation of Digital Transformation and Digital Twin Concepts
As a leading German luxury automaker showcases the multiple benefits of modular assembly, automakers are leveraging transformative digital technologies that accommodate the demand for mass personalization.
As a leading German luxury automaker showcases the multiple benefits of modular assembly, automakers are leveraging transformative digital technologies that accommodate the demand for mass personalization.
It is being seen as the next big, digitally-enabled leap in automotive manufacturing – modular assembly. Audi recently announced that it would be leveraging the modular assembly concept to support the development of more agile and efficient production and accommodate the rising demand for personalization at scale.
Audi's smart production systems eschew the rigid linearity of the traditional assembly line approach to embrace simplified, streamlined, highly interconnected cycle-independent production systems. This innovative approach is anticipated to yield time and resource efficiencies, enhance productivity, remove location constraints, reduce failure rates, Excellerate product offerings, and support flexibility in product manufacturing at a time individualization is on the ascendant. This will mean vehicles built to varied specifications can be designed, developed, and delivered to the customer faster than ever before.
Underpinning Audi's new production system is a raft of cutting-edge technologies, including virtual reality (VR) technologies, augmented reality (AR), artificial intelligence (AI), machine learning (ML), and digital twinning (DT) concepts.
For more information on how advanced technologies are creating the factories of the future, please access our research report: Growth Opportunities for Digital Twins in Global Mobility or contact for information on a private briefing.Our Perspective
“Mass personalization has become inevitable in the automotive sector due to the unique tastes and preferences of each consumer. There would ideally be as many variants of the automobile as there are customers. This can be efficiently achieved by engaging a combination of several transformative digital technologies like Digital Twins, automated guided vehicles, AI driven robots, and Machine Vision Systems, along with data analytics and virtual reality tools, which Audi seems to have rightly employed.”— Sandhya Jesu, Industry Analyst, Mobility Practice at Frost & Sullivan.
It is now increasingly evident that AI and data analytics are on course to disrupt the automotive ecosystem. The adoption of digital twinning (DT) – a disruptive and transformative concept with data at its core – has accelerated in virtually every aspect of the automotive area from product design and testing to supply chain, sales and services to manufacturing.
Digital Twinning in Mobility: Market Share Estimates by Functional Area, Global, 2021
In terms of functional arenas, we are seeing almost every major OEM implementing DT in manufacturing. Among DT applications in the manufacturing space include performance optimization, predictive maintenance and scheduling (PMS), remote monitoring and control (RMC), zero-hazard shop floor, inventory management, and mass personalization.
Intelligent DT promises a cascade of benefits for OEMs of which one of the most crucial will be its ability to support mass personalization. This will be predicated on the capability to create customized components to resolve needs/issues using DT-derived insights, generative design techniques, and 3D printing. Beyond that, integration with AI will further advance intelligent DT, enabling immediate identification of anomalies and optimal decision making. DT will be key to driving the adoption of 3D printing in manufacturing.Multiple Applications of DT
As part of our research to understand how the factories of the future are developing, we did a case study analysis of several leading OEMs and their engagement with DT. For instance, we found that Audi visualizes the use of DT in product design and has released digital twins for some of its high-end cars, with Porsche on track to release digital twins for some of its upcoming models. Audi and Skoda have implemented DT to add capacity and enhance their production plants.
Audi's Ingolstadt body shop employs LayAR, leveraging DT and AR. A digital twin of the production floor uses AR, while DT is used to facilitate logistics planning. Resultant outcomes range from the improved ability of logistics planners to work simultaneously from different locations to users being able to touch and move objects. Moreover, using NavVis and Microsoft HoloLens, Audi has created a digital twin of its Neckarsulm production facility, enabling an exact representation of the real space.
In addition, Audi integrates data from its digital twin to design and test new models and uses Epic Games' Unreal Engine to exhibit the model. This has allowed the company to showcase its designs virtually in a highly realistic and interactive manner before production.
Other OEMs have also successfully embraced DT in multiple arenas. For instance, BMW has digitally twinned its 31 production factories, terming them the 'factories of the future'. It has leveraged holistic digital twin environments (DTEs) to support a wide range of AI-enabled operations, such as virtual product design, predictive maintenance, and autonomous robots. It has even developed a digital version of humans to Excellerate workplace ergonomics.
GM has applied DT in the core areas of product design, manufacturing, and battery analytics. By 2025, VW intends to spend about $3.6 billion to build the largest digital ecosystem in the automotive industry. Furthermore, in partnership with Siemens, it is seeking to identify how DT can boost production line efficiencies.
The Mercedes-Benz Group and Daimler Truck North America (NA) have also made significant strides towards innovative, technology-led production. Mercedes uses DT to enhance its design and manufacturing capabilities, racing strategies, and digital cockpit offerings to customers. Daimler is looking to integrate DT into the company DNA, maximizing its use in areas spanning product design, manufacturing, sales, and customer experience.
Ford looks beyond the vehicle, deploying DT to create twinning alleyways and generate analytics for mobility as a service (MaaS). Meanwhile, Hyundai's highly futuristic and experimental focus – it is also the first OEM to employ the metaverse – draws heavily on synergies with DT. Volvo, which has been one of the forerunners in deploying blockchain in the supply chain, is evaluating DT initiatives in the manufacturing and the supply chain.
In short, leading automakers are looking at innovative, technology-led concepts—across production design & development, manufacturing, sales and services, supply chain, electric vehicle battery design and product lifecycle management (PLM)—to boost efficiencies, strengthen resilience, and drive disruptive innovation.
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About Joe Praveen Vijayakumar
Vijayakumar has 15 years of experience in market research and strategy formulation. His expertise includes unearthing emerging trends impacting the automotive industry, megatrends shaping the future of the transportation landscape, as well as industry-related geopolitical policies, international trade agreements. He possesses a broad knowledge of the entire transportation spectrum spanning across automotive, rail, and aviation and pioneered the Urban Air Mobility/Flying Cars research at Frost & Sullivan.
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Experts from major technology companies, federal agencies, and top universities are all gathering at Pacific Design & Manufacturing 2020 in Anaheim to highlight and discuss the latest innovations impacting manufacturing across all sectors. From the growing influence of AI, to the latest advancements in 3D printing, to the rapid changes and advancements coming to the aerospace and defense industries, we've rounded up some of the most innovative speakers and sessions that are not to be missed at the show in February.
3D Printing Is Disrupting Aerospace
Melissa Orme, Vice President Additive Manufacturing at Boeing, will be discussing the impact additive manufacturing has had on the aerospace sector. Orme says additive manufacturing offers a number of benefits to aerospace including: part consolidation, on-demand manufacturing, faster time to market, decreased downtime, and light-weighting.Orme was an early pioneer in the field of metallic 3D printing and holds 15 patents in the field. She'll be guiding attendees through strategies in implementing additive manufacturing in aerospace and sharing case studies.
Does Generation Z Care About Manufacturing?
How can the manufacturing sector do more to engage those born from the mid-90s to the early 2000s? Keith Barr, President & CEO at Leading2Lean LLC, believes Gen Z is the perfect fit for the new world of smart factories and Industry 4.0. A 20-year US Air Force veteran who has enjoyed a long career as a leader in the manufacturing technology sector, Barr will be discussing the human equation that manufacturers often ignore and the new techniques that will help attract, train, and retain a new generation of quality workers.
Where Are AI's Ethics?
As artificial intelligence continues to proliferate, so have concerns over our privacy and security. Should we trust technologies like facial recognition? Are we putting too much trust in AI already? Jerry Condra, Senior Technical Account Manager at Microsoft, will be joining a panel discussion on just how far is too far when it comes to AI and what can be done to safeguard our rights in an increasingly AI-driven world. Condra previously served as a technical consultant for Hewlett-Packard and has more than 20 years of experience supporting customers with their technical and software services, as well as leading teams.
Artificial Intelligence Meets Additive Manufacturing
AI has touched nearly every industry, and additive manufacturing is no exception. Dr. Satyandra Kumar Gupta, Smith International Professor of Mechanical Engineering and Computer Science/Director, Center for Advanced Manufacturing at University of Southern California, will be discussing how AI is improving the speed and efficiency of additive manufacturing. But there are also downsides to implementing AI with AM, most notably cost and availability. Gupta will also discuss a new challenge companies are taking on – training robots to independently oversee and optimize 3D printing of complex parts.
How Safe Is Your 3D Printer?
Additive manufacturing has its benefits, but it also comes with its own health and safety considerations. Laura Hodson, Deputy Branch Chief - Emerging Technologies at National Institute for Occupational Safety and Health, will be revealing the safety hazards and potential long-term health risks that additive manufacturing poses to workers. Hodson is a Certified Industrial Hygienist and a Fellow of the American Industrial Hygiene Association and will also discuss industry best practices for working with additive manufacturing equipment.
How Do You Build A Flying Autonomous Vehicle?
Gaurav Bansal, Principal Engineer at Airbus A^3 (ACubed) Labs, is currently leading Airbus' initiative to create autonomous flying vehicles. Bansal is an expert in vehicular communications who has made pioneering contributions in Dedicated Short Range Communications (DSRC), congestion control, and in innovative use-cases to leverage connectivity in vehicles. He will be part of panel discussing the latest design and manufacturing challenges facing the aerospace and defense industries, and how engineers are working to find new solutions to them.
As the world marshalled its resources in 2020 to fight the COVID-19 virus pandemic, major pharmaceutical companies were among those on the front lines, racing to develop, test and produce vaccines that could help protect billions of people. Technology played a key role in that effort, not only in creating new vaccines in record time but in ensuring they would be of the highest quality.
Johnson & Johnson challenged its pharmaceutical arm, Janssen, with producing one billion doses of its vaccine. To reach that goal, Janssen turned to a contract manufacturer that specialized in rapid manufacturing of vaccines and other treatments in large quantities during public health emergencies.
Janssen required access to near real-time data to monitor key production and quality metrics so that it could assure the success of each batch. This was difficult to achieve since the contract manufacturer’s operations technology (OT) infrastructure, including control systems and data collection, is isolated from both internal and outside networks, particularly networks with internet access.
The manufacturer tasked independent system integrator Automated Control Concepts (ACC), which is headquartered in Neptune, N.J., with creating a secure data pipeline that could provide this critical information to Janssen.
A secure and scalable architecture was required to meet Janssen’s information needs, starting with a Microsoft Azure Internet of Things (IoT) Hub that Janssen provided to receive the production and batch data from the contract manufacturer’s system.
ACC then recommended using Inductive Automation’s Ignition software platform with Cirrus Link’s MQTT modules as the heart of this secure data pipeline. Ignition provided a robust development environment and support for MQTT messaging, which was ideal for this application because it is designed to be used for secure, realtime, mission-critical data.
Using MQTT, ACC was able to establish a secure gateway that ensured only Janssen’s data was transmitted. This architecture proved to operate reliably in an external, unfamiliar environment while preserving data quality. It also supported the manufacturer’s ability to make the vaccine with fewer operators, which was particularly important with the social distancing requirements around COVID-19.
The Cirrus Link MQTT transmitter, distributor and engine, plus the Azure Injector, formed the heart of the system, all running on Inductive Automation’s Ignition platform. MQTT is a publish/subscribe messaging protocol originally developed more than 20 years ago to address the need for lightweight communications over low-bandwidth networks.
MQTT architectures need three components: MQTT transmitters—the clients that produce the data—usually directly connected to the control or SCADA system; the MQTT engine, the clients that consume the data; and the MQTT servers, which distribute the data from the transmitters to the engine.
The system created for Janssen by ACC consists of three main components that work together:
With an open protocol based on TCP/IP, MQTT is up to 90% bandwidth efficient compared to traditional polled communications and client/server communications using the hypertext transfer protocol (HTTP). An HTTP header is typically around 8,000 bytes, while the MQTT protocol uses only two bytes and a few lines of code. This is key in an era where millions of Internet of Things devices have been deployed, many with low internal memory and processing power.
The open-source Sparkplug B specification for MQTT, released in 2016, defines the structure of this interoperable format for industrial applications, including the syllabu namespace definition (for operations technology communications), the payload definition (IT communications), and the state management for client connections, allowing Industrial Internet of Things (IIoT) applications to talk to one another seamlessly.
The Sparkplug specification has driven MQTT’s explosive growth in both consumer and industrial applications. Major users include Facebook, Google, Amazon, IBM’s Watson, and Microsoft’s Azure, as well as a growing number of industrial companies like Inductive Automation.
Besides having a much smaller network footprint, MQTT’s publish/subscribe architecture is also flatter than the architecture used by traditional industrial automation protocols, doing away with the automation pyramid familiar to control engineers.
While clients in a client/server architecture communicate directly with an endpoint or server, publishers and subscribers never talk directly to each other. Instead, they communicate with an intermediator called a broker. The publisher supplies the broker with data and the subscribers consume it.
The broker can be anywhere, such as in the cloud with the system ACC built for Janssen, or a private server or PC, filtering the incoming messages and distributing them to the appropriate subscribers. It’s another example of how technology can deliver the right solution at the right time, making it possible for manufacturers to quickly produce many millions of doses of COVID-19 vaccine.
New Jersey, United States – IoT in Manufacturing Market 2022 – 2028, Size, Share, and Trends Analysis Research Report Segmented with Type, Component, Application, Growth Rate, Region, and Forecast | key companies profiled -Cisco (US), IBM (US), PTC (US), and others.
IoT in Manufacturing Market has seen a huge development in the assembling area. Inferable from the high market rivalry and end-client interest, makers are more panic about creating high volume and quality items. This, thus, has driven them to zero in on center regions, for example, creation process, resource observing, and upkeep and backing of resources, in the plant. Utilizing robotization would empower makers to decrease direct human work expenses and costs, increment efficiency, Excellerate consistency of cycles or items, and convey quality items.IoT in Manufacturing Market processes use control frameworks, like PCs or robots, to screen and deal with cycles and machines. IoT assumes a significant part in improving the course of modern mechanization in assembling businesses. IoT creates helpful interchanges and collaboration from assembling field info or results including actuators, mechanical technology, and analyzers to further develop adaptability and convey improved assembling.
As an ever increasing number of associations enter the IoT business, the normalization across information guidelines, remote conventions, and innovations become more different to diminish intricacy and cost. This can likewise be credited to the rising number of recently evolved associated gadgets that are running on different stages and advances. IoT includes pretty much every part of human existence, and the test lies in bringing together these principles so that Machine-to-Machine (M2M) correspondence turns out to be more easy to understand and adaptable.
According to our latest report, the IoT in Manufacturing market, which was valued at US$ million in 2022, is expected to grow at a CAGR of approximate percent over the forecast period.
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IoT in Manufacturing Market is assuming a significant part in improving assembling processes by utilizing brilliant sensors and actuators. These organizations expect to foster arrangements that can deal with huge volumes of unstructured information to profit from the advantages of IoT. Server farms can deal with such huge volumes of information; they can gather information sent by IoT-empowered gadgets, investigate it, and aggregate significant data to work with further developed dynamics connected with assembling tasks.
The services segment of the IoT in Manufacturing Market in the manufacturing market is predicted to increase faster over the forecast period. In the IoT in manufacturing industry, services are critical because they allow manufacturers to create digitized and connected production processes with mass customization and a self-configuring, automated manufacturing floor.
The services section of the IoT in Manufacturing Market in the manufacturing market is significant since it focuses on enhancing business operations and lowering needless expenses and overheads for manufacturing companies. The cloud deployment type is predicted to develop at a faster rate than others in the IoT in manufacturing market. Cloud-based IoT in manufacturing software allows SMEs and major corporations to concentrate on their core capabilities rather than IT operations.
Organizations can save money on software, storage, and technical staff by using cloud-based IoT in industrial systems. Cloud-based IoT in manufacturing solutions provides a centralized approach to link the system and its components with online and mobile applications, assisting organizations in asset management, asset maintenance, and asset productivity.
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By region, APAC is expected to grow at the highest CAGR during the forecast period. The IoT in the Manufacturing market in APAC is expected to experience strong growth in the coming years, due to the constant economic growth, increasing the young workforce, and the usage of tablets and smartphones for business purposes will lead toward the adaptation of enterprise mobility solutions to meet the growing demand for securing and protecting critical data. The major reason for this high growth in APAC is the increasing digitalization among people and the rising infusion of automation at industries and government initiatives to promote technology adoption across the region.
The report covers the competitive landscape and profiles major market players, as Cisco (US), IBM (US), PTC (US), Microsoft (US), Siemens AG (Germany), GE (US), SAP (Germany), Huawei (China), ATOS (France), HCL (India), Intel (US), Oracle (US), Schneider Electric (France), Zebra Technologies (US), Software AG (Germany), Wind River (US), Samsara (US), Telit (UK), ScienceSoft (US), Impinj (US), Bosch.IO (Germany), Litmus Automation (US), Uptake (US), Mocana (US), HQ Software (Estonia), FogHorn(US), ClearBlade (US). These players have adopted several organic and inorganic growth strategies, including new product launches, partnerships and collaborations, and acquisitions, to expand their offerings and market shares in the global IoT in Manufacturing market.
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