Artificial Intelligence
Global IoT Middleware Markets to 2025 – Increasing Focus on Remote Monitoring for the Work-From-Home (WFH) Initiative Amid COVID-19
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Dublin, Aug. 14, 2020 (GLOBE NEWSWIRE) — The “IoT Middleware Market by Platform Type (Device, Application, and Connectivity Management), Organization Size (Large Enterprises and SMES), Vertical (Manufacturing, Government & Defense, Automotive & Transportation), and Region – Global Forecast to 2025” report has been added to ResearchAndMarkets.com’s offering.
The Global IoT Middleware Market is Projected to Grow from USD 10.1 Billion in 2020 to USD 25 Billion by 2025, at a Compound Annual Growth Rate (CAGR) of 19.7% during the Forecast Period.
Increasing focus on remote monitoring for the work from home from home initiatives are sewt to drive the IoT middleware market
The increase in adoption of cloud and evolution of high-speed network technologies will lead to a broader base of individuals interested in purchasing IoT devices. Growing need for centralized monitoring, is also expected to drive the market growth. However,absence of IoT standards and lack of interoperability is one of the factors hindering the market growth. The objective of the report is to define, describe, and forecast the IoT middleware market size based on platform type, organization size, vertical, and region.
In a short time, the COVID-19 outbreak has affected markets and customers’ behavior and is making a substantial impact on economies and societies. With offices, educational institutions, and manufacturing facilities shutting down for an indefinite period; major sports and events being postponed; and work-from-home and social distancing policies in effect, businesses are increasingly looking for technologies to help them sail through these difficult times. The COVID-19 pandemic is impacting businesses across the globe. Analytics companies are trying to fight this pandemic by keeping their assets online and ensuring the privacy and security of data across networks. Connectivity management: The fastest-growing segment of the IoT middleware market, by platform type
The IoT middleware market, based on platform type, covers device management, application management and connectivity management. The connectivity management platform provides a common platform to manage the entire network of an organization along with devices, and, at the same time, ensure the security of communications. These platforms analyze data transferred over a network and automatically routes it to avoid congestions that can result in crashing the network. Furthermore, this platform provides centralized monitoring, helping organizations to improve operational efficiency and manage various processes optimally.
Manufacturing: The largest growing vertical segment of the IoT middleware market
The manufacturing firms are moving toward Industry 4.0, wherein smart devices and automation would work together in an entirely new way. In Industry 4.0, robotics is connected remotely to computer systems equipped with ML and Artificial Intelligence (AI) algorithms, which can learn and control robots with very little inputs. IoT is at the center of factory automation and Industry 4.0, and helps organizations streamline their business processes and optimize operations. IoT platforms enable connectivity between various layers and the application layer. IoT platforms help manufacturing companies to automate processes and manage supply chains.
APAC: The fastest-growing region in the IoT middleware market The growing digitalization across the APAC region to deal with a massive amount of data would drive the adoption of IoT middleware platform in the region. APAC has witnessed advanced and dynamic adoption of new technologies and is expected to record the highest CAGR during the forecast period. APAC is taking aggressive initiatives to leverage the IT infrastructure, enabling commercial users to adopt cutting-edge technologies. Many organizations, active in IoT, are from this region, such as Shenzhen, Samsung, and Hitachi. Certainly, the size of the potential market and local activity is attracting international organizations to focus on IoT initiatives in the region.
Key Topics Covered
1 Introduction
2 Research Methodology
3 Executive Summary 4 Premium Insights 5 Market Overview and Industry Trends 6 IoT Middleware Market: COVID-19 Impact
7 IoT Middleware Market, by Platform Type 8 IoT Middleware Market, by Organization Size 9 IoT Middleware Market, by Vertical 10 IoT Middleware Market, by Region 11 Competitive Landscape 12 Company Profiles For more information about this report visit https://www.researchandmarkets.com/r/j1xofh Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.
4.1 Attractive Opportunities in the IoT Middleware Market
4.2 Market: Components and Top 3 Verticals
4.3 Market, by Country
5.1 Introduction
5.2 Market Dynamics
5.3 COVID-19 Pandemic Driven Market Dynamics and Factor Analysis
5.3.1 Drivers and Opportunities
5.3.2 Restraints and Challenges
5.3.3 Cumulative Growth Analysis
5.3.4 Drivers
5.3.4.1 Increasing Focus on Remote Monitoring for the Work from Home Initiative
5.3.4.2 Growing need for Centralized Monitoring
5.3.4.3 Increasing Adoption of Cloud
5.3.4.4 Evolution of High-Speed Network Technologies
5.3.5 Restraints
5.3.5.1 Integration with Legacy Systems
5.3.5.2 Absence of Uniform IoT Standards and Lack of Interoperability
5.3.5.3 Concerns Over Data Security and Privacy
5.3.6 Opportunities
5.3.6.1 Increasing Shift Toward Outcome and Pull Economies
5.3.6.2 Rising Adoption of IoT in SMEs
5.3.6.3 Drones for the Enforcement of Compliance
5.3.6.4 Using IoT to Manage Patient Care
5.3.7 Challenges
5.3.7.1 Dearth of Skilled Workforce
5.3.7.2 Implementation and Security Challenges
5.3.7.3 Disruption in Logistics and Supply Chain
5.4 Adjacent Markets
5.5 Use Cases
5.5.1 Qivicon
5.5.2 Exelon
5.5.3 Centratech Systems
5.5.4 Haemonetics Corporation
5.5.5 Pima County
5.5.6 Homeexcept
5.5.7 Golden State Foods
5.5.8 Calstar
5.6 Regulatory Implications
5.6.1 International Organization for Standardization (Iso) Standards
5.6.2 Iso/Iec Jtc 1
5.6.2.1 Iso/Iec Jtc 1/Swg 5
5.6.2.2 Iso/Iec Jtc 1/Sc 31
5.6.2.3 Iso/Iec Jtc 1/Sc 27
5.6.2.4 Iso/Iec Jtc 1/Wg 7 Sensors
5.6.3 Institute of Electrical and Electronics Engineers Standards Association (Ieee-Sa)
5.6.4 European Committee for Standardization/International Standardization Organization (Cen/Iso)
5.6.5 European Committee for Standardization/ European Committee for Electrotechnical Standardization (Cen/Cenelec)
5.6.6 European Technical Standards Institute (Etsi)
5.6.7 International Telecommunication Union – Telecommunication Standardization Sector (Itu-T)
5.7 IoT Middleware Platform General Architecture
5.8 IoT Platform Functional Capabilities
5.8.1 Device Management
5.8.2 Integration
5.8.3 Data Management
5.8.4 Analytics
5.8.5 Application Enablement and Management
5.8.6 Security
7.1 Introduction
7.2 Device Management
7.3 Application Management
7.4 Connectivity Management
8.1 Introduction
8.2 Large Enterprises
8.3 Small and Medium-Sized Enterprises
9.1 Introduction
9.2 Manufacturing
9.3 Government and Defense
9.4 Automotive and Transportation
9.5 Energy and Utilities
9.6 Healthcare
9.7 Retail
9.8 Banking, Financial Services, and Insurance
9.9 Others
10.1 Introduction
10.2 North America
10.3 Europe
10.4 Asia Pacific
10.5 Middle East and Africa
10.6 Latin America
11.1 Competitive Leadership Mapping
11.1.1 Visionary Leaders
11.1.2 Innovators
11.1.3 Dynamic Differentiators
11.1.4 Emerging Companies
11.2 Market Ranking for the Market, 2018
11.3 Competitive Scenario
11.3.1 New Product Launches and Product Enhancements
12.1 Introduction
12.2 IBM
12.3 Microsoft
12.4 AWS
12.5 SAP
12.6 PTC
12.7 Cisco
12.8 Google
12.9 Hitachi
12.10 HPE
12.11 Bosch
12.12 Oracle
12.13 Salesforce
12.14 GE
12.15 Schneider Electric
12.16 Clearblade
12.17 Davra
12.18 Mulesoft
12.19 Axiros
12.20 Tibco Software
12.21 Siemens
12.22 Eurotech
12.23 Flutura
12.24 Litmus Automation
12.25 Ayla Networks
12.26 Aeris
12.27 Qio Technologies
12.28 Atos
12.29 Exosite
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Artificial Intelligence
2024 Tang Prize Laureates Announced: Six Global Visionaries to Be Honored in Taiwan This September
![2024-tang-prize-laureates-announced:-six-global-visionaries-to-be-honored-in-taiwan-this-september](https://roboticulized.com/wp-content/uploads/2024/06/150516-2024-tang-prize-laureates-announced-six-global-visionaries-to-be-honored-in-taiwan-this-september.jpg)
TAIPEI, June 22, 2024 /PRNewswire/ — The prestigious 2024 Tang Prize Laureates have been announced, recognizing outstanding contributions in various fields. The Tang Prize in Sustainable Development is awarded to American chemist Omar M. Yaghi. In the field of Biopharmaceutical Science, the prize is jointly awarded to Joel F. Habener, Svetlana Mojsov, and Jens Juul Holst. University Professor Emeritus Hsu Cho-yun of the University of Pittsburgh and Academician of Academia Sinica is honored with the Tang Prize in Sinology. Mary Robinson, a former lawyer and senator, former president of Ireland, former United Nations High Commissioner for Human Rights, and current Chair of The Elders, is awarded the Tang Prize in Rule of Law. These six distinguished laureates will be formally honored at an upcoming ceremony to be held in Taiwan this September.
The Tang Prize in Sustainable Development is awarded to Omar M. Yaghi, for his extraordinary contributions to sustainable development, particularly his pioneering work with Metal-Organic Frameworks (MOFs) and other ultra-porous frameworks that can be tailored for carbon capture, hydrogen and methane storage, and water harvesting from desert air. His research has revolutionized the field of chemistry and materials science, offering transformative solutions for sustainable development through the creation of customizable materials with exceptional properties.
Professor Joel F. Habener, Professor Svetlana Mojsov, and Professor Jens Juul Holst have been jointly awarded the Tang Prize in Biopharmaceutical Science, for the discovery of GLP-1 (7-37) as an insulinotropic factor and the development of GLP-1 (7-37)-based anti-diabetic and anti-obesity drugs.
University Professor Emeritus Hsu Cho-yun is awarded the Tang Prize in Sinology for his exceptional contributions to the field of Sinology. Professor Hsu’s illustrious academic career has been distinguished by his holistic approach to the study of ancient Chinese history, seamlessly integrating an exploration of cultural and intellectual exchanges between China and the world. With his profound erudition and unwavering public spirit, Professor Hsu embodies the quintessential Sinologist, possessing both a deep historical sensibility and a broad, worldly vision.
The Tang Prize in Rule of Law is awarded to Professor Mary Robinson, for her “powerful advocacy for the most disadvantaged in different spheres, including gender equality, poverty alleviation, human rights, and climate justice.” In particular, the Selection Committee noted that her “passionate endeavors demonstrated an effective combination of legal acumen and practical solutions.” The Committee also noted that “from the national to the global stage, legal and political, she has innovatively transformed and expanded the various positions in which she has served to strengthen the rule of law.”
About the Tang Prize
Since the advent of globalization, mankind has been able to enjoy the convenience brought forth by the advancement of human civilization and science. Yet a multitude of challenges, such as climate change, the emergence of new infectious diseases, wealth gap, and moral degradation, have surfaced along the way. Against this backdrop, Dr. Samuel Yin established the Tang Prize in December 2012. It consists of four award categories, namely Sustainable Development, Biopharmaceutical Science, Sinology, and Rule of Law. Every other year, four independent and professional selection committees, comprising many internationally renowned experts, scholars, and Nobel winners, choose as Tang Prize laureates people who have influenced and made substantive contributions to the world, regardless of ethnicity, nationality or gender. A cash prize of NT$50 million (approx. US$1.7 million) is allocated to each category, with NT$10 million (approx. US$ 0.35 million) of it being a research grant intended to encourage professionals in every field to examine mankind’s most urgent needs in the 21st century, and become leading forces in the development of human society through their outstanding research outcomes and active civic engagement.
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Artificial Intelligence
Key Tech Stocks Optimizing AI Usability and Infrastructure for a $20-Trillion Future
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USA News Group CommentaryIssued on behalf of Avant Technologies Inc.
VANCOUVER, BC, June 21, 2024 /PRNewswire/ — USA News Group – Several big winners have been made already in the ongoing artificial intelligence (AI) revolution. However, there’s clearly none bigger than chipmaking giant NVIDIA Corporation (NASDAQ: NVDA), which just surpassed two of its big tech peers to become the most valued publicly-traded company on the planet. To put it into perspective, NVIDIA’s market cap is currently larger than each of Europe’s largest stock markets, while lucky investors who bet $1000 on NVIDIA stock just ten years ago would be sitting on an extra $297,600 today. Now as analysts are predicting that AI and cryptocurrency could inject $20 trillion into the global economy by 2030, the best minds in the tech sector are moving their pieces into place to secure their piece of the pie. Behind the scenes, tech stocks are optimizing the infrastructure, security, and usability of AI, including new developments from Avant Technologies Inc. (OTCQB: AVAI), International Business Machines Corporation (IBC) (NYSE: IBM), Cloudflare, Inc. (NYSE: NET), and Accenture plc (NYSE: ACN).
Known as a pioneer in the sector for its innovative AI technology, Avant Technologies Inc. (OTCQB: AVAI) has improved its main product, Avant AI™. This sophisticated AI system, celebrated for its advanced machine and deep learning capabilities, is adaptable across a wide range of industries.
In a recent strategic development, Avant has signed a Binding Letter of Intent (BLOI) with Flow Wave, LLC (FW), a Florida-based leader in immersible computer server technology. This agreement allows Avant to acquire up to 50 cutting-edge immersible computer servers from FW in a deal valued at $50 million.
“Avant’s revolutionary AI software platform is poised to transform the landscape of data center management,” said William Hisey, CEO of Avant. “By integrating proprietary machine learning algorithms with open-source innovations into these servers, Avant is developing a highly intelligent system designed to optimize resource allocation, enhance performance, and drive unprecedented levels of efficiency and automation. This marks the beginning of a new era for Avant Technologies, positioning us at the forefront of the supercomputer-driven data center industry and setting new standards for managing and storing AI applications.”
Flow Wave Immersible AI Supercomputer Servers are great for heavy AI and machine learning tasks because they have strong processing power, meaning they can analyze data faster and more efficiently. Their special cooling technology uses less energy, saving money and reducing environmental impact. The servers are also compact and easy to set up, making them ideal for data centers with limited space. Plus, their design helps them last longer and require less maintenance.
Avant plans to tackle the challenges of the digital age by buying up to 50 of these high-performance servers from Flow Wave. These servers, with their advanced cooling technology, boost performance and save energy. This deal shows Avant’s dedication to providing top-notch AI infrastructure and improving efficiency. More details about the transaction will be shared once a definitive agreement is finalized.
One of the most active tech giants in the AI space is International Business Machines Corporation (IBC) (NYSE: IBM), which recently released a new methodology through its IBM Research® wing called LAB (Large-Scale Alignment for ChatBots), through an open-source project called InstructLab with its subsidiary Red Hat®, which IBM acquired for $34 billion in 2019. The InstructLab project builds on the LAB technique for a community-driven approach to language model development through skills and knowledge training.
As well, IBM has teamed up with WPP and LinkedIn to launch a new business-to-business (B2B) solution powered by IBM’s AI and data platform watsonx, designed to reinvent how B2B markets identify and engage clients and prospects across the buying journey. WPP Open for B2B will help marketers solve complex B2B marketing challenges, accurately identify and engage buying groups, and improve clients’ return on investment.
“B2B marketers have been focused on creating truly personalized, relevant and consistent experiences for buying groups at scale for years,” said Jonathan Adashek, Senior Vice President of Marketing and Communications at IBM. “Our collaboration with WPP and LinkedIn provides real-time, actionable insights that are based on trusted data. We are excited to create and use these new, powerful and trusted AI solutions to deliver a force multiplier for B2B marketing.”
Cloud-based security solution provider Cloudflare, Inc. (NYSE: NET) recently announced the general availability of its AI Gateway platform, dubbed as a unified interface for managing and scaling the generative AI workloads of clients. Since its beta launch in September 2023, AI Gateway has handled over 500 million requests and is now ready for full client use.
The general availability release followed upon another Cloudflare announcement of a collaboration with Hugging Face, the leading open and collaborative platform for AI builders, for a one-click-simple global deployment for AI applications. With its Workers AI platform now generally available, Cloudflare became the first serverless inference partner integrated on the Hugging Face Hub for deploying models, enabling developers to quickly, easily, and affordably deploy AI globally, without managing infrastructure or paying for unused compute capacity.
“Workers AI is one of the most affordable and accessible solutions to run inference,” said Matthew Prince, CEO and co-founder, Cloudflare. “With Hugging Face and Cloudflare both deeply aligned in our efforts to democratize AI in a simple, affordable way, we’re giving developers the freedom and agility to choose a model and scale their AI apps from zero to global in an instant.”
Reporting impressive generative AI revenues in its latest Q3 2024 fiscal results has caused shares of Accenture plc (NYSE: ACN) to jump this week, reporting more than $900 million in generative AI bookings in the latest quarter alone.
“Our actions to stay laser-focused on the needs of our clients are clear in our third quarter results,” said Julie Sweet, Chair and CEO of Accenture. “We… achieved two significant milestones this quarter — with $2 billion in Generative AI sales year-to-date and $500 million in revenue year-to-date — which demonstrate our early lead in this critical technology.”
Prior to the financial report, Accenture announced its intent to acquire Italian-based network services company, Fibermind, which specializes in fiber and mobile 5G networks deployment, as well as infrastructure engineering services. Together, Accenture and Fibermind will offer clients network engineering capabilities, deep industry knowledge, and technology assets powered by automation, robotics, data and AI.
Prior to its surge into the position as the world’s most valuable publicly-traded company, NVIDIA Corporation (NASDAQ: NVDA) made a pair of announcements, further cementing its role in the AI revolution.
The first was the announcement of its NVIDIA Omniverse Cloud Sensor RTX, a set of microservices that enable physically accurate sensor simulation to accelerate the development of fully autonomous machines of every kind, allowing developers to test sensor perception and associated AI software at scale in physically accurate, realistic virtual environments prior to real-world deployment.
The second announcement was the NVIDIA AI Computing by HPE, a portfolio of AI solutions and joint go-to-market integrations that enable enterprises to accelerate adoption of generative AI, co-developed with Hewlett Packard (HP).
“Generative AI and accelerated computing are fueling a fundamental transformation as every industry races to join the industrial revolution,” said Jensen Huang, Founder and CEO of NVIDIA. “Never before have NVIDIA and HPE integrated our technologies so deeply – combining the entire NVIDIA AI computing stack along with HPE’s private cloud technology – to equip enterprise clients and AI professionals with the most advanced computing infrastructure and services to expand the frontier of AI.”
All NVIDIA AI Computing offerings by HPE will be available through a combined marketing strategy involving sales teams, channel partners, and training. This strategy includes a global network of system integrators such as Deloitte, HCLTech, Infosys, TCS, and Wipro. These integrators will assist enterprises across various industries in running complex AI workloads.
Source: https://usanewsgroup.com/2023/10/26/unlocking-the-trillion-dollar-ai-market-what-investors-need-to-know/
CONTACT:
USA NEWS [email protected](604) 265-2873
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Artificial Intelligence
2024 World Intelligence Expo Begins with a Grand Opening in Tianjin
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TIANJIN, China, June 21, 2024 /PRNewswire/ — On June 20th, Tianjin hosted the opening of the 2024 World Intelligence Expo (WIE). Under the theme “Intelligence: Expansive Development Space, Sustainable Growth Driver,” the event was co-organized by the people’s governments of the Tianjin and Chongqing municipalities.
Chinese President Xi Jinping sent a congratulatory letter to the expo, pointing out that AI, as an important driving force for a new round sci-tech revolution and industrial transformation, will have a far-reaching impact on global economic and social development and human civilization progress. In his letter, Xi also noted that China has attached great importance to the development of AI, actively driven the deep integration of the Internet, big data and AI with real economy to cultivate and build the intelligent industry, accelerate the development of new quality productivity, and provide new momentum for high-quality development.
Chen Min’er, secretary of the CPC Tianjin Committee, addressed the opening ceremony of the expo. Wan Gang, chairman of China Association for Science and Technology, delivered the keynote speech. Hu Henghua, mayor of Chongqing; Wu Zhaohui, vice president of Chinese Academy of Sciences; Liu Liehong, head of the National Data Administration; Long Teng, vice minister of the Ministry of Science and Technology; and Shan Zhongde, vice minister of the Ministry of Industry and Information Technology, addressed the expo, respectively. Tianjin Mayor Zhang Gong presided over the opening ceremony.
In his speech, Chen Min’er pointed out that Tianjin has been adhering to sci-tech innovation and industrial innovation at the same time, actively propelling exploration and practical applications in the realm of AI, and accelerating the development of new quality productivity to better empower its high-quality development and living. Chen added, “Leading sci-tech innovation with intelligence, Tianjin will rev up the R&D and application of some key core technologies, vigorously develop the sci-tech service sector, streamline the supply and demand channels for sci-tech achievements, boost sci-tech and innovation parks to improve their quality and efficiency, and accelerate the inter-sector application of AI to help innovation and breakthroughs in the fields of life science, low-carbon technology, and future research.
According to Hu Henghua, Chongqing is speeding up in digital industrialization and industrial digitization to build itself into a new digital economy highland. The 2025 World Intelligence Expo is scheduled to be held in Chongqing. Hu invited everyone to delineate a new AI landscape together, share golden opportunities during the digitization of Chongqing, and co-build a promising future in the AI era.
Wu Zhaohui suggested strengthening the inter-discipline cooperation to consolidate the AI research foundation, enriching AI scenarios with applets, and deepening industry-institute interactions to build an AI innovation ecosystem.
Zeng Yi, chairman of China Electronics Corporation; Chen Zhongyue, chairman of China Unicom; Yang Yuanqing, chairman and CEO of Lenovo; and Zhou Hongyi, founder of Qihoo 360 delivered speeches.
Contact: Xing MeiqiTel: 0086-22-28209030E-mail: [email protected]
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