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IoT Middleware Market worth $41.7 billion by 2029 – Exclusive Report by MarketsandMarkets™

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CHICAGO, Aug. 26, 2024 /PRNewswire/ — The IoT Middleware Market is expected to reach USD 41.7 billion by 2029 from USD 18.5 billion in 2024, at a CAGR of 17.6 % during 2024–2029, according to a new report by MarketsandMarkets™.

Browse in-depth TOC on “IoT Middleware Market”

174 – Tables
46 – Figures
221 – Pages

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Scope of the Report

Report Metrics

Details

Market size available for years

2019–2029

Base year considered

2023

Forecast period

2024–2029

Forecast units

Value (USD Billion)

Segments Covered

By Platform Type, Vertical, and Region

Region covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

The major players in the IoT Middleware Market are Microsoft (US), IBM (US), PTC (US), Cisco (US), AWS (US), SAP (Germany), Google (US), Hitachi (Japan), Oracle (US), HPE (US), Bosch (Germany), Siemens (Germany), GE (US), Schneider Electric (US), Software AG (Germany), Aeris Communication (US), Salesforce (US), Atos (France), ClearBlade (US), Davra Networks (US), Axiros (Germany), Eurotech (Italy), Litmus Automation (US), Ayla Networks (US), SumatoSoft (US), QiO Technologies (UK), Particle Industries (US), and Exosite (US).

loT Middleware market is largely driven by the growth of loT devices in different industries at a relatively higher growth rate. They are being employed in homes, industries, healthcare sector, transport sector, and many more other sectors. This implies that the more connected devices there are, the more difficult it becomes to manage them. loT Middleware can be understood as an intermediate layer that is designed to mediate interactions, data sharing, and device control in areas of various platforms anc devices. In this regard, it assists the organizations in compiling a host of loT devices and ensure they work in a coordinated manner, thus improving performance.

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The healthcare vertical is projected to register the highest CAGR during the forecast period.

IoT has continued to increase in health care because of the adoption of implanted sensors, fast cellular networks such as LTEs and 3Gs, and wireless devices. This interconnection of sensors and devices ensures that healthcare organizations can coordinate clinical activities, monitor workflow, and even dispense patient care from the patient’s home or any other location. Consequently, a great emphasis is placed on introducing solid applications and correlated technologies in healthcare. Integrated health technologies, which include using new points of care through IoT middleware solutions, are being embraced, including remote patient monitoring, health care worker and patient workflow management, medication management, and medical asset tracking. Some players are moving in this area, taking advantage of experience in the communications infrastructure essential for M2M communication. M2M has numerous uses in healthcare, such as cell phones with RFID-sensor features that can track medical indices and control medication.

During the forecast period, the device management platform contributed the largest market share in the IoT Middleware Market.

Device Management platforms offer the necessary frameworks to ensure that connected devices are effectively managed and controlled. It allows real-time interaction across the connected devices with the hub application and the processed data transmissions. This often provides services like device onboarding, configuration, & monitoring and firmware update to help businesses to maintain massive IoT deployments. This also ensures that devices are properly functioning well, protected, and updated and thus reduce the incidences of breakages, losses, or delays. In addition, this platform also has extensibility to have new devices added in the future when the IoT network expands. The middleware platform addresses the management challenge for IoT devices making it easier for organizations to keep track of the health of the devices and security of their IoT infrastructure.

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Based on region, Asia Pacific is projected to register the highest CAGR during the forecast period.

The IoT middleware Asia-Pacific market is on the growth slope graph that is expected to reach USD 15.8 billion by 2029, with China, Japan, and India leading the charge. IoT middleware has been seen to register rapid growth in the Asia Pacific region due to government support and Smart city projects, especially in China, which by 2024 will account for over 30% of the region’s Market. Due to the early adoption of new technologies, Asia-Pacific is expected to observe the highest compound annual growth rate during the forecast period. The region’s strategic drive to improve its IT structure allows organizations to adopt innovative information technologies. The Global Mobile Suppliers Association report revealed that Asia-Pacific has the potential to become the world’s biggest IoT services market, with nearly 11 billion connections in the market in the next seven years. It is an emerging market pulling in the big guns, including Litmus Automation, which has moved to Japan to satisfy the growing need for IoT sophistication in industrial processes.

Top Companies in IoT Middleware Market:

The report profiles key players such as Microsoft(US), IBM (US), PTC (US), Cisco (US), AWS (US), SAP (Germany), Google (US), Hitachi (Japan), Oracle (US), HPE (US), Bosch (Germany), Siemens (Germany), GE (US), Schneider Electric (US), Software AG (Germany), Aeris Communication (US), Salesforce (US), Atos (France), ClearBlade(US), Davra Networks (US), Axiros (Germany), Eurotech (Italy), Litmus Automation (US), Ayla Networks (US), SumatoSoft (US), QiO Technologies (UK), Particle Industries (US) and Exosite (US).

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About MarketsandMarkets™

MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.

MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.

Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.

The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.

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Zifo Transforms Ontology Engineering with AI-Powered Intelligent Automation

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Advanced AI solution speeds up ontology creation by 80%, generating structured, interoperable knowledge models for science-driven organizations.

CAMBRIDGE, Mass. and CAMBRIDGE, England, April 30, 2026 /PRNewswire/ — Zifo, the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations, has developed an Intelligent Automation solution for Ontology Engineering, which is designed to seamlessly generate structured, interoperable knowledge models while accelerating ontology creation by 80%.

Overcoming the Bottlenecks of Manual Ontology Creation

Manual ontology creation in the biopharma industry has traditionally been a time-consuming process that requires specialized expertise. Organizations frequently struggle with semantic ambiguity, complex integration challenges, and limited scalability, resulting in workflows that can take weeks to complete. Zifo’s AI-powered automation tackles these challenges head-on by eliminating 80% of the manual work through automated class generation, description creation, and precise IRI mapping.

Addressing the Complexities of Semantic Knowledge

Developing comprehensive knowledge models often demands deep domain expertise to define relationships and align terminology. Zifo’s intelligent solution overcomes this by providing an AI-guided workflow featuring an intuitive interface, meaning specialized ontology engineering knowledge is no longer required. By leveraging LLM-powered generation, the solution creates precise definitions with a deep understanding of domain-specific context, while generating standardized synonyms and establishing controlled vocabulary alignment to eliminate inconsistent terminology.

A Solution Designed for Scalable Scientific Data Modeling

The AI-powered solution addresses critical format compatibility and integration points in ontology management:

Seamless Integration: Automated mapping connects directly to established ontologies, including NCIT, CHEBI, OBI, and EFO, via BioPortal and OLS APIs.Massive Scalability: Parallel processing and batch operations empower teams to execute large-scale ontology projects without performance limitations.Automated Hierarchies: The AI autonomously generates semantic relationships and parent-child hierarchies based on domain context and predefined relation vocabularies.Format Compatibility: The solution produces direct OWL/RDF exports with proper URIs, ensuring seamless downstream integration.

Unique Features include:

Multi-Source Integration: The solution combines BioPortal, OLS, and EMBL-EBI APIs to guarantee comprehensive ontology coverage.Intelligent Ranking System: The system uses AI-powered relevance scoring and justification for precise ontology mappings.Precise IRI Mapping: It ensures that each generated class is linked to the correct IRI, directly promoting semantic web compatibility.Human-in-the-Loop Design: The solution automates repetitive tasks while maintaining vital expert oversight.End-to-End Workflow: Users are guided through a complete pipeline, from initial domain knowledge input straight to exportable OWL files.Visual Knowledge Graph: An interactive graph visualization allows for intuitive relationship exploration and validation.Multi-Format Exports: Provides seamless export options in CSV, OWL, or HTML Ontograph formats for downstream use, collaboration, and visualization.

Strategic Value Across the Scientific Chain

This solution breaks down the traditional barriers of data structuring. Built on a robust backend of Python, LangChain, and leading LLM models, alongside a frontend framework using Next.js 15 and Cytoscape.js for graph visualization, the solution is highly adaptable. Furthermore, future optimization enhancements will include provisions for uploading user-defined classes or semi-ready ontologies.

About Zifo

Zifo is the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations. With expertise spanning research, development, manufacturing, and clinical domains, Zifo serves a diverse range of industries including Pharma, Biotech, Chemicals, Food and Beverage, and more. Trusted by over 190 organizations worldwide, Zifo is the partner of choice for advancing digital scientific innovation.

For more information, visit www.zifornd.comhttps://zifornd.com/practical-ai-blueprints/

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SOURCE Zifo Technologies

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UNC-Chapel Hill establishes ‘Carolina in the Capital’ with new Washington, D.C. office

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CHAPEL HILL, N.C., April 30, 2026 /PRNewswire/ — The University of North Carolina at Chapel Hill has opened a new office in Washington, D.C., establishing an expanded presence for the University in the nation’s capital and creating exciting opportunities for students, faculty, staff and alumni.

Located at 101 Constitution Avenue NW, the 10,861-square-foot space – coined “Carolina in the Capital” – will support a variety of functions, including educational programming for undergraduate and graduate students, alumni relations and engagement with government partners.

As a leading R1 university, UNC-Chapel Hill annually attracts more than $1.6 billion to the state’s economy to fund research that creates a better quality of life for all its citizens. More than 60% of UNC-Chapel Hill’s total research funding comes from federal sponsors with the majority of that federal funding coming from the National Institutes of Health (NIH), which is based in the Washington area.

“Carolina in the Capital is a state-of-the-art facility that reflects our commitment to creating experiential learning opportunities for our students and faculty,” said Chancellor Lee H. Roberts. “The space is designed as an immersive learning environment where students can translate classroom knowledge into hands-on experience, which has never been more important. The facility also strengthens our ability to support engagement between our staff, alumni, policymakers and partners.”

Supporting students participating in Carolina’s Washington-based academic programs is a priority. For years, students and faculty have relied on temporary or borrowed spaces across the city. The new office provides a permanent home where students can gather, learn and build community while living and studying in Washington. A robust schedule of classes and events will fill the space throughout the year.

The Washington, D.C. region is home to the largest concentration of out-of-state Carolina alumni anywhere in the country. The new office creates a dedicated space to strengthen those connections and support networking, mentorship, professional development and community-building among D.C.-based Tar Heels.

The space will also serve as a platform to bring Carolina’s research and academic expertise into closer conversation with policymakers, industry leaders and member organizations. Carolina is the nation’s 11th largest university in the country based on research volume with primary federal funding coming from NIH and the National Science Foundation (NSF), both based in the D.C. area. Carolina is a proud member of the Association of American Universities (AAU) and the Association of Public & Land Grant Universities (APLU), which are both based in Washington.

The office is funded entirely through the UNC-Chapel Hill Foundation and does not use any state appropriations.

You can view additional photos of the space here.

Media Contact: UNC Media Relations, 919-445-8555, mediarelations@unc.edu

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SOURCE University of North Carolina at Chapel Hill Office of Communications

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Investing.com Acquires Stonki to Accelerate Its Entry into the Agentic AI Era

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The acquisition strengthens Investing.com’s AI capabilities, advancing a next-generation research assistant that can analyze markets, generate insights, and guide investors in real time

NEW YORK, April 30, 2026 /PRNewswire/ — Investing.com, one of the world’s largest financial platforms used by more than 60 million investors each month, today announced the acquisition of Stonki, an AI-powered investing assistant designed to help traders turn ideas into structured, actionable trading plans.

The move marks a major step in the company’s evolution toward agentic AI, strengthening its ability to deliver faster, deeper, and more actionable market insights to a growing base of more than 300,000 paying subscribers across its InvestingPro suite, the company’s premium subscription offering for advanced market data, tools, and AI-driven insights.

Over the past 12 months, nearly 3 million users have used WarrenAI, Investing.com’s AI-powered financial research assistant launched last year, to perform market analysis, making AI a central entry point into the platform’s ecosystem. With the addition of Stonki, the company is moving beyond traditional AI tools toward agentic systems that can proactively guide users through the investment process.

“We’re entering the age of agentic AI, where the technology moves beyond just answering questions to actively helping investors think, analyze, and act,” said Omer Shvili, CEO of Investing.com. “Bringing Stonki.ai into the fold accelerates our goal of building an agentic platform that will serve as a 24/7 analyst for our users. We are developing this to be more than just a tool; it will be a partner that identifies opportunities, tracks unfolding situations, and surfaces trade ideas even when the user isn’t active—giving our users the kind of edge that was previously only available to professional investors.”

Founded in 2025, Stonki is developing a new category of ‘agentic’ AI for investing, enabling users to turn investment ideas into fully defined strategies with entry and exit conditions, risk management rules, and continuous monitoring.

“We started Stonki because, as investors and traders ourselves, we knew how much time and focus it takes to stay on top of the market and properly manage a day trade, a swing trade, an investment idea, or a portfolio,” said Ulas Bilgenoglu and Itay Verkh, co-founders of Stonki. “We set out to build AI that could carry part of that load by continuously monitoring the market, turning ideas into structured strategies, and helping users make better decisions with clear entry and exit conditions, disciplined risk management, and ongoing tracking. Joining Investing.com gives us the scale, data, reach, and strong AI foundation to accelerate that vision. Together, we can create an experience where AI helps users stay ahead of the market, manage risk, and act with greater confidence.”

The acquisition expands Investing.com’s AI capabilities across both technical and fundamental investing workflows. Stonki’s technology is built around persistent, real-time intelligence, continuously monitoring markets, tracking user-defined strategies, and alerting investors when conditions align, rather than relying on one-off prompts or static analysis.

For active traders, the platform is evolving into a real-time analysis engine designed to support high-frequency decision-making with precision and speed. For long-term investors, it is becoming a central hub for research, enabling users to evaluate opportunities, set personalized alerts, and monitor portfolios based on their individual investment strategies.

Users will be able to define specific conditions, such as a stock crossing a long-term moving average, and have the AI continuously monitor the market, analyze relevant signals, and surface actionable insights in real time. The system will also review portfolios on an ongoing basis, helping investors avoid potential losses and uncover new opportunities aligned with their strategy.

This latest step builds on Investing.com’s broader strategy of expanding its AI-powered suite, including WarrenAI, ProPicks AI, and its recently launched AI Chart Analysis, all aimed at delivering faster, more accurate and more actionable insights to investors.

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SOURCE Investing.com

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