The International Business Machines Corporation is an American multinational technology and consulting corporation, with headquarters in Armonk, New York, United States. IBM manufactures and markets computer hardware and software, and offers infrastructure, hosting and consulting services in areas ranging from mainframe computers to nanotechnology.The company was founded in 1911 as the Computing-Tabulating-Recording Company through a merger of the Tabulating Machine Company, the International Time Recording Company, and the Computing Scale Company. CTR was changed to "International Business Machines" in 1924, using a name which had originated with CTR's Canadian subsidiary. The acronym IBM followed. Securities analysts nicknamed the company Big Blue for its size and common use of the color in products, packaging, and logo.In 2012, Fortune ranked IBM the No. 2 largest U.S. firm in terms of number of employees , the No. 4 largest in terms of market capitalization, the No. 9 most profitable, and the No. 19 largest firm in terms of revenue. Globally, the company was ranked the No. 31 largest in terms of revenue by Forbes for 2011. Other rankings for 2011/2012 include No. 1 company for leaders , No. 1 green company in the U.S. , No. 2 best global brand , No. 2 most respected company , No. 5 most admired company , and No. 18 most innovative company .IBM has 12 research laboratories worldwide, bundled into IBM Research. As of 2013 the company held the record for most patents generated by a business for 22 consecutive years. Its employees have garnered five Nobel Prizes, six Turing Awards, ten National Medals of Technology, and five National Medals of Science. Notable company inventions include the automated teller machine , the floppy disk, the hard disk drive, the magnetic stripe card, the relational database, the Universal Product Code , the financial swap, the Fortran programming language, SABRE airline reservation system, DRAM, copper wiring in semiconductors, the silicon-on-insulator semiconductor manufacturing process, and Watson artificial intelligence.IBM has constantly evolved since its inception, acquiring properties such as Kenexa and SPSS and organizations such as PwC's consulting business , spinning off companies like printer manufacturer Lexmark , and selling off product lines like its personal computer and server businesses to Lenovo . In 2014 IBM announced that it would "offload" IBM Micro Electronics semiconductor manufacturing to Global Foundries. This transition is in progress as of early 2015. Wikipedia.
News Article | May 2, 2017
The 2017 study has 678 pages, 240 tables and figures. Worldwide Internet of Things (IoT) markets are poised to achieve significant growth with the use of sensors, cameras, and platforms that are used to help implement precision digital control and send alerts for all manner or management of devices and machinery. Visualization and digitization let people better control any device or mechanical thing. Providers of Industrial IoT aim to implement asset efficiency solutions. Designing the asset efficiency solution, developing the application, adapting advanced engineering knowledge for the use cases, and supplying the information platform is the composite task of the analytics engine. IBM is a premier supplier of an analytics engine with its Watson product. There is enormous variety in the Internet of things markets. Bosch supplies industrial IoT sensor technology, acquiring data from the edge, providing device management. Scalability is achieved by the Bosch IoT Suite and ProSyst IoT middleware. The Vorto code generator enables M2M modelling. PTC supplies the Thingworx Application Enablement Platform (AEP), used for creating dashboards, widgets and other user interface elements. Intel provides the Moon Island Gateway used for data aggregation at the edge, as well as horizontal infrastructure in collaboration with HP. Hitachi analytics is used to diagnose manufacturing process. Hitachi uses its analytics platform to integrate production and sensor data outputs to help visualize, analyze and diagnose a manufacture polymer mixing problems. A polymer mixing process was said to be producing inconsistent output quality, with yields dipping to 50%. Hitachi addressed the scrapping of poor batches and huge costs by addressing ever-changing product specifications and variations in a range of production parameters. Using IoT and the analytics platform, production engineers were able to stabilize the process even as new product formulations were introduced. The Internet of Things (IoT) is the next Industrial Revolution. It will impact the way all businesses, governments, and consumers interact with the physical world. 1 Gbps and 10 Gbps speed has been used in data centers for years. The jump to 40 Gbps and 100 Gbps has come rapidly as a result of the need to increase the quantity of data managed inside the data center with more analytics and more applications. Many of the Cloud 2.0 mega data centers have moved to 100 Gbps, presaging the move to 400 Gbps. One reason for the increase in speed is the growth of data consumption, attributed to smartphones, social media, video streaming, Internet of Things (IoT), and big data. Big pipes are used to cope with the huge quantities of data that are being transferred. Users, partners, suppliers and other mega-datacenters communicate using digital systems that are automated and self-healing. The effect on the business is compelling, managers have much more responsibility to create maps of strategy and work with IT to see that developers tune the software to fit the current competitive environment. The explosion of data comes from smart phone apps and IoT digital onslaught of streaming data that needs to be processed in real time to look for anomalies, look for change, set alerts, and provide automated response to shifts. “Transparency is one of the benefits of IoT that sensors bring to digital controls. The benefits of digital manufacturing, farming, and automotive vehicles are higher productivity and more efficient use of resource. Transparency in is being asked for by consumers. Consumers want to know where their food came from, how much water and chemicals were used in food preparation, and when and how the food was harvested and transported. They want to know about consistent refrigeration during transport.” Use of IoT sensors and cameras represents a key milestone in provision of value to every industry. Customized cameras are used to take photos and videos with stunning representations. Digital controls will further automate flying and driving, making ease of use, flight stability, and automated cars a reality. New materials and new designs are bringing that transformation forward. By furthering innovation, IoT continued growth is assured. The worldwide market for Internet of Things (IoT) is $16.3 billion in 2016 anticipated to reach $185.9 billion by 2023. Sensors and software analytics platforms are implemented with connectivity capability for streaming data from endpoints and using analytics to process the data in a manner that generates alerts when appropriate. The complete report provides a comprehensive analysis of Internet of Things (IoT) in different categories, illustrating the diversity of uses for digital tracking devices in industry, healthcare and consumer markets. Analytics makes the images more cogent to everyone, farmers, doctors, machine operators, the uses of IoT are quite diverse. Letting people anticipate problems that only become visible to humans days or weeks after the sensors and images detect issues is a fundamental aspect of IoT, along with generating apocopate levels of alerts. Not too many and not too few. Aerialtronics Adobe Amazon Apple AutoDesk AutoDesk CAD-in-the-Cloud Bosch Cisco Systems Digi Inter national Cybus Enevo Oy Technologies Essence General Electric GE GE Wireless Sensor Networks Google Google / Nest Learning Thermostat Google Chromecast Health Slam -IoT Slam Huawei Huawei Partners with China Telecom, Shenzhen Gas On Smart Utility IBM Corporation Infineon Technologies AG Infineon Chip Card & Security Intel Corporation Intel Acquires Mobileye Internet of Things Community KT Microsoft Microsoft Microsoft / Mojang AB Minecraft Microsoft / Skype / GroupMe Free Group Messaging MuleSoft Nokia oneM2M Panoramic Power Oracle PTC Qualcomm Samsung Samsung Agreed to Buy Harman Harman International Industries (ADITI TECHNOLOGIES) SAP Schaeffler Sierra Wireless Business and Innovation Development Sigfox Softbank Softbank “IBM Watson” Softbank Sprint Softbank Yahoo Fukuoka SoftBank HAWKS Spirent STMicroelectronics Symantec / Norton Symantec Creating Trusted Interactions Online Schneider Electric Software, Llc. Uber UIB Zebra ZTE Internet of Things (IoT) IoT Endpoints Universal IoT Platform IoT Suite Web Services Blockchain Networks Wireless Sensor Networks Security and Energy Management Healthcare Transportation Self Driving Cars Agriculture IoT Weather IoT Financial IoT Industrial IoT Manufacturing IoT Security IoT Energy Management Internet of Things IoT Security Healthcare IoT Wearable Technology Self-Driving Cars Connected Cars Rail Transportation IoT Sensor and Computing Configurations Agricultural and Weather IoT IoT chipsets …CONTINUED For more information, please visit http://www.wiseguyreports.com
News Article | April 26, 2017
Dublin, April 26, 2017 (GLOBE NEWSWIRE) -- Research and Markets has announced the addition of Wintergreen Research, Inc's new report " Internet of Things (IoT) Market Shares, Strategies, and Forecasts 2017 to 2023" to their offering. The study is designed to give a comprehensive overview of the Internet of Things (IoT): market segment. Research represents a selection from the mountains of data available of the most relevant and cogent market materials, with selections made by the most senior analysts. Worldwide Internet of Things (IoT) markets are poised to achieve significant growth with the use of sensors, cameras, and platforms that are used to help implement precision digital control and send alerts for all manner or management of devices and machinery. Visualization and digitization let people better control any device or mechanical thing. Providers of Industrial IoT aim to implement asset efficiency solutions. Designing the asset efficiency solution, developing the application, adapting advanced engineering knowledge for the use cases, and supplying the information platform is the composite task of the analytics engine. IBM is a premier supplier of an analytics engine with its Watson product. There is enormous variety in the Internet of things markets. Bosch supplies industrial IoT sensor technology, acquiring data from the edge, providing device management. Scalability is achieved by the Bosch IoT Suite and ProSyst IoT middleware. The Vorto code generator enables M2M modelling. PTC supplies the Thingworx Application Enablement Platform (AEP), used for creating dashboards, widgets and other user interface elements. Intel provides the Moon Island Gateway used for data aggregation at the edge, as well as horizontal infrastructure in collaboration with HP. Key Topics Covered: INTERNET OF THINGS (IOT) EXECUTIVE SUMMARY - Internet of Things (IoT) Market Driving Forces - IoT Technology Market Driving Forces - IoT Technology Market Challenges - Internet of Things (IoT) Market Shares - Internet of Things (IoT) Market Forecasts - IoT Market Opportunity Huge 1. INTERNET OF THINGS (IOT): MARKET DESCRIPTION AND MARKET DYNAMICS 1.1 IoT Sensor Types 1.2 Internet of Things (IoT) Based on Standards 1.3 With IoT, APIs Are Used for Everything 1.4 Internet of Things Revolution Dramatically Alters the Economy 2. INTERNET OF THINGS (IOT) MARKET SHARES AND FORECASTS 2.1 Internet of Things (IoT) Market Driving Forces 2.2 Internet of Things (IoT) Market Shares 2.3 Internet of Things (IoT) Market Forecasts 2.4 Internet of Things Market Segments: Security and Energy Management, Healthcare, Transportation and Self Driving Cars, Agriculture and Weather, Financial, Industrial and Manufacturing 2.5 Security and Energy Management Internet of Things Market 2.6 Healthcare 2.7 Self Driving Cars / Connected Cars / Transportation 2.8 Agricultural and Weather IoT 2.9 Industrial IoT 2.10 Financial Internet of Things Market Segment 2.11 IoT chipsets 2.12 IoT Data Use Forecasts 2.13 Mid IR Sensor Market Forecasts 2.14 Internet of Things (IoT) Regional Analysis 3. INTERNET OF THINGS IOT PRODUCT DESCRIPTION 3.1 IBM 3.2 Intel 3.3 Microsoft IoT 3.4 Hewlett HP IoT 3.5 Apple 3.6 Google 3.7 Cisco 3.8 Samsung 3.9 AutoDesk 3.10 Zebra 3.11 SAP 3.12 Siemens 3.13 Bosch Software Innovation 3.14 Huawei Technologies 3.15 Harman International Industries (ADITI Technologies) 3.16 Enevo Oy Technologies 3.17 Infineon Technologies 3.18 Symantec Corporation 3.19 Schneider Electric Software, Llc. 3.20 Apple IoT 3.21 AT&T 3.22 Softbank 3.23 Uber 3.24 oneM2M 3.25 Symantec / Norton Core Router 3.26 Kaptivo 3.27 Oracle 3.28 Schlage IoT Devices 3.29 AGCO 3.30 Alibaba Group in Shanghai 3.31 Essence 4. INTERNET OF THINGS (IOT) RESEARCH AND TECHNOLOGY 4.1 Internet of Things (IoT) Research and Technology 4.2 IoT Common Standards 4.3 Edge Computing 4.4 European Union Research & Innovation 4.5 Wearable Technology 4.6 Blockchain 4.7 Connected Home Camera Technology 4.8 IFTTT 4.9 Wireless Communication Standards 4.10 IBM and Texas Instruments Collaboratively Develop Lifecycle-Management for IoT Devices 5. INTERNET OF THINGS (IOT) COMPANY PROFILES 5.1 Aerialtronics 5.2 Adobe 5.3 Amazon 5.4 Apple 5.5 AutoDesk 5.6 Bosch 5.7 Cisco Systems 5.8 Digi International 5.9 Cybus 5.10 Enevo Oy Technologies 5.11 Essence 5.12 General Electric 5.13 Google 5.14 Health Slam - IoT Slam 5.15 Huawei 5.16 IBM Corporation 5.17 Infineon Technologies AG 5.18 Intel Corporation 5.19 Internet of Things Community 5.20 KT 5.21 Microsoft 5.22 Microsoft 5.23 MuleSoft 5.24 Nokia 5.25 oneM2M 5.26 Panoramic Power 5.27 Oracle 5.28 PTC 5.29 Qualcomm 5.30 Samsung 5.31 SAP 5.32 Schaeffler 5.33 Sierra Wireless Business and Innovation Development 5.34 Sigfox 5.35 Softbank 5.36 Spirent 5.37 STMicroelectronics 5.38 Symantec 5.39 Schneider Electric Software, Llc. 5.40 Uber 5.41 UIB 5.42 Zebra 5.43 ZTE 5.44 Appendix A: Selected IoT Market Participants For more information about this report visit http://www.researchandmarkets.com/research/35xb8h/internet_of
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-04-2015 | Award Amount: 4.82M | Year: 2016
The projects principal aim is the development of UniServer: a universal system architecture and software ecosystem for servers. UniServer will facilitate the evolution of the Internet from an infrastructure where data is aggregated to centralized data-centres to an infrastructure where data are handled in a distributed and localized manner close to the data sources. UniServer will realize its bold goal by greatly improving the energy efficiency, performance, dependability and security of the current state-of-the-art micro-servers, while reinforcing the supported system software. UniServer will develop effective means to expose the intrinsic hardware heterogeneity caused by process variations, harness it and use it to its advantage for improving energy efficiency or performance. Lightweight, only software, mechanisms will be embedded for exposing to the system software the pessimistic voltage/frequency margins currently adopted in commercial processor and memory, which will be enhanced with new margin/fault-aware runtime and resource management policies. The UniServer technology will be ported on the world-first 64-bit ARM based Server-on-Chip and evaluated using smart emerging applications deployed in classical cloud business data-centres as well as in new environments closer to the data sources. UniServer aspires to deliver a unique fully working prototype that will turn the opportunities in the emerging Big Data and IoT markets into real, smarter products that can improve the everyday life and lead to a substantial financial and employment growth. The unique blend of expertise of UniServers consortium consisting of world leading low-power processor and Server-on-Chip suppliers (ARM, APM) as well as system software developer (IBM), and a set of emerging application drivers and established research organisations guarantees the successful realization of the ambitious goals, while reinforcing Europes strong position in traditional and new multi-billion euro market.
News Article | December 11, 2016
The internet of things (IoT) – that ever-expanding ecosystem of digital sensors, home appliances and wearable smart devices – attracts its fair share of attention. Speculation is rife on how the 23bn-odd (and counting) “things” will improve quality of life, streamline business operations and ultimately fuel economic benefits to the tune of up to $11tn per year by 2025. Less often considered is the cost to the environment of such a vast network of devices. With the full extent of the IoT far from being realised, even experts are divided on whether it will spell doom or salvation for the environment. One thing that experts can agree on is that we shouldn’t wait around to find out. “The internet of things will be the biggest, most sophisticated piece of equipment that we’ve deployed across the planet – ever,” says telecommunications expert Kerry Hinton, former director of the Centre for Energy Efficient Telecommunications at the University of Melbourne. “That means that we’ve got to think about the potential limitations on it due to power consumption, the use of rare earth elements – all of that – from day one.” According to Hinton, how energy hungry the IoT will be largely depends on the types of devices deployed and what they will be doing. At one end of the spectrum, low-power, low-data transmitting devices – such as sensors that monitor when vending machines need a refill – are unlikely to send energy bills through the roof. Indeed, many of these simple devices won’t tap into a building’s mains power at all. Long-lasting batteries will do most of the work and devices that can power themselves, by tapping into sunlight, vibrations or heat, are also in development. However, Hinton and others foresee an ecosystem of increasingly complex and energy-hungry devices emerging. Devices using video surveillance are a good example. Not only will these devices require mains power to function, they will also contribute significantly to the growth in data coursing through the internet’s veins. According to Cisco’s visual networking index, an ongoing survey of data-consumption trends, internet video surveillance traffic almost doubled between 2014 and 2015, and is set to increase tenfold by 2020. The problem of energy consumption will be a pernicious one, says Hinton. “These technologies on a device-by-device basis, or even a house-by-house basis, are not a significant additional contribution to overall power consumption,” he says. Multiply that across Australia though and “that’s going to boil down to another power station or another two power stations”. Far from being energy gluttons though, IoT devices could contribute to substantial energy and water savings, according to Bettina Tratz-Ryan, green IT specialist and research vice-president at Gartner. “Concepts like energy harvesting are a huge component of innovation that the IoT, specifically, can drive,” she says. In addition, sensors will allow smart buildings to ramp up temperature controls when needed, dim lights when nobody’s around and alert maintenance crews to water leaks as soon as they happen. This is exactly the kind of application fledgling IoT company SkyGrid is developing. “There’s a lot of gimmicky stuff out there but we’re interested in something that changes and improves the world,” says the company’s chief executive, Rory Gleeson. SkyGrid, which is based in Melbourne and Sydney, is developing a smart hot-water system in partnership with hot-water company Quantum Energy . The aim is to intelligently control when a building’s hot-water systems are switched on, so that energy isn’t wasted heating water when no one is around to use it – something that currently wastes as much as 50% of a system’s power. Of course the “things” are only one component of the IoT. The sheer volume of data being transmitted and stored is also set to explode. Data storage has become more energy efficient over recent years. Instead of being relegated to servers held in energy-inefficient company backrooms, data is increasingly stored and processed in the cloud. That’s to say, in large server farms operated by tech giants who have an interest in keeping energy consumption (and costs) to a minimum. Tech giants are turning to renewable energy to lessen their carbon footprint, according to Greenpeace’s 2015 Clicking Clean report. Apple’s data centres, for instance, boast 100% renewable energy, with Yahoo (73% renewables), Facebook (49%) and Google (46%) also improving their green credentials with renewables. (By contrast, Australia-based data centres for HP, IBM and Microsoft get 74% of their energy from coal-fired power). Companies are also strategically locating their data centres for improved energy inefficiency. In 2013, for example, Facebook opened a data centre in northern Sweden that is cooled with outside air and runs off local hydroelectric power. Because of these efficiencies, the deluge of data from the IoT, if stored in the cloud, won’t have a huge impact on energy consumption. But much of the IoT won’t be run off the cloud, says Hinton. Applications that require rapid data access and response times – such as health monitors and autonomous vehicles – will need data to be stored locally and efficiency gains from offshoring of data storage could diminish. Keeping data local isn’t all bad, according to Tratz-Ryan. “Devices are talking to each other without the data being pushed back into the network, which uses energy, which produces carbon,” she says. The Melbourne-based IoT company Freestyle takes advantage of this decentralisation of data to make more responsive energy grids. “It’s taking the intelligence away from centralised control and letting the devices make decisions on near-real-time events,” says its business development general manager, Brad Affleck. Freestyle has partnered with engineering firm PowerTec, South Australian utilities provider SA Power Networks and the University of Adelaide on an intelligent energy grid for Kangaroo Island in South Australia. Sensors and controllers in the grid intelligently manage energy sources to sway energy consumption towards renewables without sacrificing the reliability of the supply. With so many factors on either side of the environment ledger, crunching the numbers to determine whether our connected lives are good or bad for the environment is no mean feat. But the Global e-Sustainability Initiative (GeSI), an international consortium of tech companies and telcos, has attempted just that. In 2015, GeSI released its #SMARTer2030 report, which suggests that information and communications technologies, including the IoT, will be able to save almost 10 times the carbon dioxide emissions that it generates by 2030 through reduced travel, smart buildings and greater efficiencies in manufacturing and agriculture. While Tratz-Ryan is optimistic that this vision of the future is achievable, Hinton isn’t convinced. “The tricky bit,” he says, “is you’ve got to get people to do it” – a “non-trivial exercise” that will require significant public policy intervention. For Tratz-Ryan, policy is only one piece of the puzzle. More important will be peer pressure that encourages organisations and individuals to behave in a socially responsible way. “Policies are not enough to drive energy efficiency and climate change initiatives,” she says. “It has to come from the user community and it has to come from industry.”
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-25-2015 | Award Amount: 4.54M | Year: 2016
REMINDER aims to develop an embedded DRAM solution optimized for ultra-low-power consumption and variability immunity, specifically focused on Internet of Things cut-edge devices. The objectives of REMINDER are: i) Investigation (concept, design, characterization, simulation, modelling), selection and optimization of a Floating-Body memory bit cell in terms of low power and low voltage, high reliability, robustness (variability), speed, reduced footprint and cost. ii) Design and fabrication in FDSOI 28nm (FD28) and FDSOI 14nm (FD14) technology nodes of a memory matrix based on the optimized bit-cells developed. Matrix memory subcircuits, blocks and architectures will be carefully analysed from the power-consumption point of view. In addition variability tolerant design techniques underpinned by variability analysis and statistical simulation technology will be considered. iii) Demonstration of a system on chip application using the developed memory solution and benchmarking with alternative embedded memory blocks. The eventual replacement of Si by strained Si/SiGe and III-V materials in future CMOS circuits would also require the redesign of different applications, including memory cells, and therefore we also propose the evaluation of the optimized bit cells developed in FD28 and FD14 technology nodes using these alternative materials. The fulfilment of the objectives above will also imply the development of: i) New techniques for the electrical characterization of ultimate CMOS nanometric devices. This will allow us to improve the CMOS technology by boosting device performance. ii) New behavioural models, incorporating variability effects, to reach a deep understanding of nanoelectronics devices iii) Advanced simulation tools for nanoelectronic devices for state of the art, and emerging devices. iv) Extreme low power solutions The consortium supporting this proposal is ideally balanced with 2 industrial partners, 2 SMEs, 2 research centers and 3 universities.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETPROACT-01-2016 | Award Amount: 5.99M | Year: 2017
Guaranteed numerical precision of each elementary step in a complex computation has been the mainstay of traditional computing systems for many years. This era, fueled by Moores law and the constant exponential improvement in computing efficiency, is at its twilight: from tiny nodes of the Internet-of-Things, to large HPC computing centers, sub-picoJoule/operation energy efficiency is essential for practical realizations. To overcome the power wall, a shift from traditional computing paradigms is now mandatory. OPRECOMP aims at demolishing the ultra-conservative precise computing abstraction and replacing it with a more flexible and efficient one, namely transprecision computing. OPRECOMP will investigate the theoretical and practical understanding of the energy efficiency boost obtainable when accuracy requirements on data being processed, stored and communicated can be lifted for intermediate calculations. While approximate computing approaches have been used before, in OPRECOMP for the first time ever, a complete framework for transprecision computing, covering devices, circuits, software tools, and algorithms, along with the mathematical theory and physical foundations of the ideas will be developed that not only will provide error bounds with respect to full precision results, but also will enable major energy efficiency improvements even when there is no freedom to relax end-to-end application quality-of-results. The mission of OPRECOMP is to demonstrate using physical demonstrators that this idea holds in a huge range of application scenarios in the domains of IoT, Big Data Analytics, Deep Learning, and HPC simulations: from the sub-milliWatt to the MegaWatt range, spanning nine orders of magnitude. In view of industrial exploitation, we will prove the quality and reliability and demonstrate that transprecision computing is the way to think about future systems.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETOPEN-01-2016-2017 | Award Amount: 3.88M | Year: 2017
The proposal PHASE-CHANGE SWITCH addresses the need for combined energy efficiency and extended functionality with the engineering of new classes of solid-state Beyond CMOS switches exploiting the abrupt phase-change (Metal-Insulator-Transition - MIT) in materials and at temperatures that make them interesting for electronic circuits and systems by their performance, energy efficiency and scalability. The proposal includes disruptive research contributions on the whole value chain, from novel phase-change materials to new device and circuit architectures together with their scaling and integration on silicon and GaN platforms. On materials alloying and straining techniques in phase-change systems are used for the engineering of the transition temperature and the ON and OFF bandgaps (conductivity) of VO2. A significant advance is the three-terminal energy efficient phase-change electronic switch with deep-sub-thermionic average slope (<10mV/decade at room temperature), operating at sub-0.5V voltage supply, with ON current better than silicon MOSFET and OFF current comparable with tunnel FETs, surpassing the state-of-the-art. The proposal focuses on smart design and exploitation of the unique properties of the phase-change VO2 beyond CMOS switches, by targeting with the same technology platform: (i) von-Neumann steep-slope logic devices and circuits, to extend CMOS with novel functionality and energy efficiency, (ii) uniquely reconfigurable energy efficient radio-frequency (RF) circuit functions from 1 to 100GHz, (iii) unconventional scalable neuristors exploiting the hysteretic RC switching behaviour for neuromorphic computation, and, (iv) disruptive classes of solid-state ionitronic devices for neuromorphic computation, exploiting non-volatile memory effects. The proposed research is expected to create new applications and markets and reinforce the leadership of European industrial players in the field of energy efficient IoT and high frequency communications.
News Article | February 16, 2017
— This report studies EMEA IoT(Internet of Things) in Global market, especially in North America, Europe, China, Japan, Southeast Asia and India, focuses on top manufacturers in global market, with capacity, production, price, revenue and market share for each manufacturer, covering IBM Corporation SAP SE Microsoft Corporation Amazon Cisco Systems PTC Inc Market Segment by Regions, this report splits Global into several key Regions, with production, consumption, revenue, market share and growth rate of EMEA IoT in these regions, from 2011 to 2021 (forecast), like North America Europe China Japan Southeast Asia India Split by product type, with production, revenue, price, market share and growth rate of each type, can be divided into Platform Software Solution Service Split by application, this report focuses on consumption, market share and growth rate of EMEA IoT in each application, can be divided into Building & Home Automation Smart Energy Smart Manufacturing Others Global EMEA IoT Market Research Report 2017 1 EMEA IoT Market Overview 1.1 Product Overview and Scope of EMEA IoT 1.2 EMEA IoT Segment by Type 1.2.1 Global Production Market Share of EMEA IoT by Type in 2015 1.2.2 Platform 1.2.3 Software Solution 1.2.4 Service 1.3 EMEA IoT Segment by Application 1.3.1 EMEA IoT Consumption Market Share by Application in 2015 1.3.2 Building & Home Automation 1.3.3 Smart Energy 1.3.4 Smart Manufacturing 1.3.5 Others 1.4 EMEA IoT Market by Region 1.4.1 North America Status and Prospect (2012-2022) 1.4.2 Europe Status and Prospect (2012-2022) 1.4.3 China Status and Prospect (2012-2022) 1.4.4 Japan Status and Prospect (2012-2022) 1.4.5 Southeast Asia Status and Prospect (2012-2022) 1.4.6 India Status and Prospect (2012-2022) 1.5 Global Market Size (Value) of EMEA IoT (2012-2022) 7 Global EMEA IoT Manufacturers Profiles/Analysis 7.1 IBM Corporation 7.1.1 Company Basic Information, Manufacturing Base and Its Competitors 7.1.2 EMEA IoT Product Type, Application and Specification 220.127.116.11 Platform 18.104.22.168 Software Solution 7.1.3 IBM Corporation EMEA IoT Production, Revenue, Price and Gross Margin (2015 and 2016) 7.1.4 Main Business/Business Overview 7.2 SAP SE 7.2.1 Company Basic Information, Manufacturing Base and Its Competitors 7.2.2 EMEA IoT Product Type, Application and Specification 22.214.171.124 Platform 126.96.36.199 Software Solution 7.2.3 SAP SE EMEA IoT Production, Revenue, Price and Gross Margin (2015 and 2016) 7.2.4 Main Business/Business Overview 7.3 Microsoft Corporation 7.3.1 Company Basic Information, Manufacturing Base and Its Competitors 7.3.2 EMEA IoT Product Type, Application and Specification 188.8.131.52 Platform 184.108.40.206 Software Solution 7.3.3 Microsoft Corporation EMEA IoT Production, Revenue, Price and Gross Margin (2015 and 2016) 7.3.4 Main Business/Business Overview 7.4 Amazon 7.4.1 Company Basic Information, Manufacturing Base and Its Competitors 7.4.2 EMEA IoT Product Type, Application and Specification 220.127.116.11 Platform 18.104.22.168 Software Solution 7.4.3 Amazon EMEA IoT Production, Revenue, Price and Gross Margin (2015 and 2016) 7.4.4 Main Business/Business Overview 7.5 Cisco Systems 7.5.1 Company Basic Information, Manufacturing Base and Its Competitors 7.5.2 EMEA IoT Product Type, Application and Specification 22.214.171.124 Platform 126.96.36.199 Software Solution 7.5.3 Cisco Systems EMEA IoT Production, Revenue, Price and Gross Margin (2015 and 2016) 7.5.4 Main Business/Business Overview 7.6 PTC Inc 7.6.1 Company Basic Information, Manufacturing Base and Its Competitors 7.6.2 EMEA IoT Product Type, Application and Specification 188.8.131.52 Platform 184.108.40.206 Software Solution 7.6.3 PTC Inc EMEA IoT Production, Revenue, Price and Gross Margin (2015 and 2016) 7.6.4 Main Business/Business Overview For more information, please visit https://www.wiseguyreports.com/sample-request/963115-global-emea-iot-market-research-report-2017