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AI of Things (AIoT) Solutions Market Outlook Report 2026-2030 | Agentic AI and IoT Convergence Accelerates Autonomous Decision-Making Across Global Industries

globenewswire.com
NVDA NVIDIA is mentioned as a key player in AIoT, benefiting from the growth in AI and edge computing, which are central to the AIoT market expansion. INTC Intel is identified as a provider of enabling technologies for AIoT, including chipsets and edge computing solutions, positioning it to benefit from market growth. QCOM Qualcomm is listed as a company involved in AIoT, likely benefiting from its role in providing connectivity and processing solutions for connected devices. MU Micron is mentioned in the context of AIoT enabling technologies, suggesting it will benefit from the increased demand for memory and storage in AIoT applications. GOOG Google's DeepMind is mentioned, indicating its involvement in AI, a core component of AIoT, suggesting potential benefits from the convergence of AI and IoT. CSCO Cisco is listed as a company in the AIoT space, likely benefiting from its networking infrastructure and solutions that support connected devices and data flow. IBM IBM is mentioned as a company involved in AIoT, likely benefiting from its expertise in AI, cloud, and enterprise solutions that are crucial for AIoT adoption. MSFT Microsoft is listed as a company in the AIoT sector, likely benefiting from its cloud platforms, AI services, and IoT solutions that are integral to AIoT market growth. AAPL Apple is mentioned in the context of AIoT, likely benefiting from its consumer electronics and integrated ecosystem which can leverage AIoT capabilities. AMZN Amazon is listed as a company in the AIoT space, likely benefiting from its cloud services (AWS), AI capabilities, and extensive IoT device ecosystem. ADI Analog Devices is mentioned as a provider of enabling technologies for AIoT, suggesting it will benefit from the demand for its semiconductor solutions in connected devices. TSLA Tesla is mentioned in the context of AIoT applications like fleet management and autonomous systems, positioning it to benefit from advancements in AI and IoT integration. TXN Texas Instruments is mentioned as a provider of enabling technologies for AIoT, suggesting it will benefit from the demand for its semiconductor solutions in connected devices. ORCL Oracle is mentioned as a company in the AIoT space, likely benefiting from its cloud and enterprise software solutions that support AIoT data management and analytics. PTC PTC is listed as a company involved in AIoT, likely benefiting from its software solutions that facilitate IoT connectivity, data management, and digital transformation. GE General Electric is mentioned in the context of AIoT applications in industrial sectors like energy and utilities, suggesting it will benefit from AIoT adoption in these areas. BA Veros Systems (Baker Hughes Company) is mentioned, indicating Baker Hughes' involvement in AIoT solutions, particularly in industrial applications. HPQ Hewlett Packard Enterprise is listed as a company involved in AIoT, likely benefiting from its infrastructure and edge computing solutions that support AIoT deployments. AMD While not explicitly named, AMD is a major player in AI chips and processors, which are critical for AIoT. Its role in AI and edge computing suggests it will benefit. AMAT While not explicitly named, Applied Materials is a key supplier to the semiconductor industry, which is essential for AIoT. Increased demand for chips will benefit them. LRCX While not explicitly named, Lam Research is a key supplier to the semiconductor industry, which is essential for AIoT. Increased demand for chips will benefit them. KLAC While not explicitly named, KLA Corporation is a key supplier to the semiconductor industry, which is essential for AIoT. Increased demand for chips will benefit them. ASML While not explicitly named, ASML is a critical supplier for advanced chip manufacturing, essential for AIoT. Increased demand for chips will benefit them. META Meta Platforms is listed as a company involved in AIoT, likely benefiting from its investments in AI and its potential applications in connected devices and future platforms. CRM Salesforce is mentioned as a company in the AIoT space, likely benefiting from its cloud-based CRM and AI solutions that can integrate with and leverage AIoT data. ROK While not explicitly named, Rockwell Automation is a major player in industrial automation and IoT, which are core to AIoT. They are likely to benefit from market growth. HON While not explicitly named, Honeywell is a significant player in industrial IoT and automation, areas central to AIoT. They are likely to benefit from market expansion. EMR While not explicitly named, Emerson Electric is involved in industrial automation and control systems, key components of AIoT. They are likely to benefit from market growth. ETR While not explicitly named, Eaton is involved in power management and industrial solutions, which are relevant to AIoT infrastructure and energy management. SWKS While not explicitly named, Skyworks provides semiconductor solutions for connectivity, which is fundamental to AIoT. Increased device connectivity will benefit them. MCHP Microchip Technology is mentioned in the context of AIoT enabling technologies, suggesting it will benefit from the increased demand for microcontrollers and semiconductors in AIoT applications. NXPI NXP Semiconductors is listed as a provider of enabling technologies for AIoT, suggesting it will benefit from the demand for its semiconductor solutions in connected devices. ON While not explicitly named, ON Semiconductor provides solutions for automotive, industrial, and IoT, all key areas for AIoT. Increased demand in these sectors will benefit them. STM STMicroelectronics is listed as a provider of enabling technologies for AIoT, suggesting it will benefit from the demand for its semiconductor solutions in connected devices. MRVL While not explicitly named, Marvell provides connectivity and processing solutions for data centers and edge, crucial for AIoT. Increased demand will benefit them. SNPS While not explicitly named, Synopsys provides chip design software, essential for the development of AIoT processors. Increased chip innovation will benefit them. CDNS While not explicitly named, Cadence provides chip design software, essential for the development of AIoT processors. Increased chip innovation will benefit them. QGEN The article mentions 'Biotech' and 'Healthcare' as hot markets, but QuidelOrtho is not directly discussed in relation to AIoT or these specific market trends. BIIB The article mentions 'Biotech' and 'Healthcare' as hot markets, but Biogen is not directly discussed in relation to AIoT or these specific market trends. GILD The article mentions 'Biotech' and 'Healthcare' as hot markets, but Gilead Sciences is not directly discussed in relation to AIoT or these specific market trends. AMGN The article mentions 'Biotech' and 'Healthcare' as hot markets, but Amgen is not directly discussed in relation to AIoT or these specific market trends. REGN The article mentions 'Biotech' and 'Healthcare' as hot markets, but Regeneron is not directly discussed in relation to AIoT or these specific market trends. VRTX The article mentions 'Biotech' and 'Healthcare' as hot markets, but Vertex Pharmaceuticals is not directly discussed in relation to AIoT or these specific market trends. BMY The article mentions 'Biotech' and 'Healthcare' as hot markets, but Bristol Myers Squibb is not directly discussed in relation to AIoT or these specific market trends. PFE The article mentions 'Biotech' and 'Healthcare' as hot markets, but Pfizer is not directly discussed in relation to AIoT or these specific market trends. MRK The article mentions 'Biotech' and 'Healthcare' as hot markets, but Merck is not directly discussed in relation to AIoT or these specific market trends. JNJ The article mentions 'Healthcare' as a hot market, but Johnson & Johnson is not directly discussed in relation to AIoT or its specific market trends. ABBV The article mentions 'Biotech' and 'Healthcare' as hot markets, but AbbVie is not directly discussed in relation to AIoT or these specific market trends. XOM The article mentions 'energy' as a sector expected to lead AIoT adoption due to its reliance on continuous data and predictive analytics. CVX The article mentions 'energy' as a sector expected to lead AIoT adoption due to its reliance on continuous data and predictive analytics. SRE The article mentions 'utilities' as a sector expected to lead AIoT adoption due to its reliance on continuous data and predictive analytics. DUK The article mentions 'utilities' as a sector expected to lead AIoT adoption due to its reliance on continuous data and predictive analytics. NEE The article mentions 'utilities' and 'energy' as sectors expected to lead AIoT adoption due to their reliance on continuous data and predictive analytics. PCG The article mentions 'utilities' as a sector expected to lead AIoT adoption due to its reliance on continuous data and predictive analytics. AEP The article mentions 'utilities' as a sector expected to lead AIoT adoption due to its reliance on continuous data and predictive analytics. SO The article mentions 'utilities' as a sector expected to lead AIoT adoption due to its reliance on continuous data and predictive analytics. ETSY While the article discusses consumer systems and applications, Etsy is not directly mentioned or implied as a beneficiary of AIoT in this context.

AI of Things (AIoT) Solutions Market Outlook Report 2026-2030 | Agentic AI and IoT Convergence Accelerates Autonomous Decision-Making Across Global Industries Dublin, Aug. 12, 2026 (GLOBE NEWSWIRE) -- The "Artificial Intelligence of Things Solutions by AIoT Market Applications and Services in and Industry Verticals 2026-2030" has been added to ResearchAndMarkets.com's offering.

Agentic AI is advancing the Internet of Things (IoT) from rules-based automation toward autonomous, goal-directed operations. The convergence of artificial intelligence and connected devices-commonly associated with the Artificial Intelligence of Things (AIoT)-enables enterprise, industrial, and consumer systems to evaluate real-time conditions, anticipate operational consequences, and take corrective action with limited human intervention.

This transition is supporting the growth of Decisions as a Service (DaaS), through which organizations can access AI-powered operational decisions via application programming interfaces, cloud platforms, edge infrastructure, and managed services. DaaS solutions may be customized by industry, business objective, transaction volume, or measurable outcome.

From Rules-Based Automation to Autonomous IoT Operations

Traditional IoT deployments generally depend on static thresholds and predefined workflows. Agentic IoT systems apply contextual analysis, probabilistic reasoning, and continuous optimization to pursue defined objectives across dynamic physical environments.

AIoT Applications Across Key Industry Sectors

Agentic AI can transform passive IoT data networks into responsive, self-managing systems. High-value applications are emerging across manufacturing, utilities, energy, transportation, logistics, smart cities, product delivery, customer support, sales, and supply chain management.

Utilities and energy service providers are expected to lead adoption because of their reliance on continuous data, distributed infrastructure, real-time balancing, and predictive analytics. AIoT capabilities will also become increasingly common within connected enterprise infrastructure, analytics platforms, software solutions, and SaaS-managed service offerings.

Streaming Data, Edge Computing, and AIoT Analytics

The expansion of IoT networks is generating substantial volumes of structured and unstructured machine data. Combined with human-generated information, these data streams create significant opportunities for AI-powered analytics, operational intelligence, and automated decision-making.

Real-time data processing will remain central to the AIoT market. Organizations require the ability to capture streaming data, identify relevant attributes, apply contextual intelligence, and execute decisions with minimal delay. Edge computing will be particularly important for industrial systems and other use cases in which latency, connectivity, resilience, and local processing directly affect operational performance.

In many deployments, data and actionable intelligence will become services in their own right. AIoT infrastructure will support more efficient connected operations, improved human-machine interaction, advanced data management, IoT Data as a Service, and AI-based Decisions as a Service.

AIoT Adoption Challenges

Deploying autonomous AI agents across physical infrastructure introduces significant technical, security, governance, and operational requirements.

AIoT Market Report and Forecast, 2026-2030

This AIoT market report analyzes enabling technologies, leading companies, competitive solutions, infrastructure, services, and industry-specific applications. It includes quantitative market sizing and forecasts for AIoT infrastructure, managed services, platforms, and selected solutions from 2026 through 2030.

The report also evaluates the relationship between 5G and AIoT, the role of blockchain in connected ecosystems, and market opportunities for Data as a Service, Decisions as a Service, and AIoT solutions for smart cities. As enterprises prioritize automation and digital transformation, the integration of Agentic AI with IoT is positioned to become an increasingly important component of global business operations.

Key Topics Covered

1. Executive Summary

2. Introduction

2.1 Defining AIoT

2.1.1 AI in IoT vs. AIoT

2.2 Artificial General Intelligence

2.2.1 Ambient Intelligence and Smart Lifestyles

2.3 IoT Network and Functional Structure

2.3.1 Economic and Social Impact

2.3.2 Enterprise Adoption and Investment

2.4 AIoT Market Dynamic Analysis

2.4.1 Market Drivers and Opportunities

2.4.2 Market Restraints and Challenges

2.5 AIoT Value Chain Analysis

2.5.1 Device Manufacturers

2.5.2 Equipment Manufacturers

2.5.3 Platform Providers

2.5.4 Software and Service Providers

2.5.5 User Communities

3. Technology and Application Analysis

3.1 AIoT Market Analysis

3.1.1 Equipment and Component

3.1.2 Cloud Equipment and Deployment

3.1.3 3D Sensing Technology

3.1.4 Software and Data Analytics

3.1.5 AIoT Platforms

3.1.6 Deployment and Services

3.2 AIoT Sub-Market Analysis

3.2.1 Supporting Device and Connected Objects

3.2.2 IoT Data as a Service

3.2.3 AI Decisions as a Service

3.2.4 APIs and Interoperability

3.2.5 Smart Objects

3.2.6 Smart City Considerations

3.2.7 Industrial Transformation

3.2.8 Cognitive Computing and Computer Vision

3.2.9 Consumer Appliances

3.2.10 Domain Specific Network Considerations

3.2.11 3D Sensing Applications

3.2.12 Predictive 3D Design

3.3 AIoT Technology Analysis

3.3.1 Cognitive Computing

3.3.2 Computer Vision

3.3.3 Machine Learning Capabilities and APIs

3.3.3.1 Deep Machine Learning

3.3.3.2 Machine Learning APIs

3.3.4 Neural Networks

3.3.5 Context Aware Processing

3.4 AIoT Enabling Technology Analysis

3.4.1 Edge Computing

3.4.1.1 AIoT Edge Architecture

3.4.1.2 Edge AI Platform

3.4.2 Blockchain Networks

3.4.3 Cloud Technologies

3.4.4 5G Technologies

3.4.5 Digital Twin Technology and Solutions

3.4.6 Smart Machines

3.4.7 Cloud Robotics

3.4.8 Predictive Analytics and Real Time Processing

3.4.8.1 All Flash Array

3.4.8.2 Real Time Operating Systems (RTOS)

3.4.9 Post Event Processing

3.4.10 Haptic Technology

3.5 AIoT Applications Analysis

3.5.1 Device Accessibility and Security

3.5.2 Gesture Control and Facial Recognition

3.5.3 Home Automation

3.5.4 Wearable Device

3.5.5 Fleet Management

3.5.6 Intelligent Robots

3.5.7 Augmented Reality Market

3.5.8 Drone Traffic Monitoring

3.5.9 Real-time Public Safety

3.5.10 Yield Monitoring and Soil Monitoring Market

3.5.11 HCM Operation

4. AIoT Company Analysis

4.1 Sharp Corporation

4.2 SAS Institute Inc.

4.3 DT42 Co. Ltd.

4.4 Baidu Inc.

4.5 Alibaba Group Holding Limited

4.6 Tencent

4.7 Xiaomi

4.8 NVIDIA Corporation

4.9 Intel Corporation

4.10 Qualcomm Technologies Inc.

4.11 Innodisk Corporation

4.12 GBT Technologies

4.13 Micron Technology Inc.

4.14 ShiftPixy

4.15 Uptake Technologies Inc.

4.16 C3 AI Inc.

4.17 Alluvium IoT Solutions Pvt Ltd.

4.18 Arundo (Stanford Startx Company)

4.19 Canvass Analytics Inc.

4.20 Falkonry Inc.

4.21 Interactor

4.22 Google (DeepMind)

4.23 Cisco Systems

4.24 IBM Corporation

4.25 Microsoft Corporation

4.26 Apple Inc.

4.27 Salesforce Inc.

4.28 Infineon Technologies AG (Cypress Semiconductor)

4.29 Amazon Inc.

4.30 AB Electrolux

4.31 ABB Ltd.

4.32 AIBrian Inc.

4.33 Analog Devices Inc.

4.34 ARM Limited

4.35 Atmel Corporation (Microchip Technology)

4.36 Ayla Networks Inc.

4.37 Brighterion Inc.

4.38 Buddy (Blue Frog Robotics)

4.39 CloudMinds

4.40 Cumulocity IoT (Software AG)

4.41 Smarsh Inc. (Digital Reasoning Systems)

4.42 Enea AB

4.43 Express Logic Inc. (Microsoft Corporation)

4.44 Meta Platform Inc. (Facebook)

4.45 Fujitsu Ltd.

4.46 Thales Group (Gemalto N.V.)

4.47 General Electric (GE)

4.48 General Vision Services

4.49 Graphcore

4.50 H2O.ai

4.51 Haier Group

4.52 Helium Systems

4.53 Hewlett Packard Enterprise

4.54 Huawei Technologies

4.55 Siemens AG

4.56 SK Telecom

4.57 SoftBank Robotics

4.58 SpaceX

4.59 SparkCognition

4.60 STMicroelectronics

4.61 Broadcom Inc. (Symantec)

4.62 Tellmeplus (OVHCloud)

4.63 Tesla Inc.

4.64 Texas Instruments

4.65 Thethings.io

4.66 Veros Systems (Baker Hughes Company)

4.67 Whirlpool Corporation

4.68 Wind River Systems Inc.

4.69 Juniper Networks Inc.

4.70 Nokia Corporation

4.71 Oracle Corporation

4.72 PTC Corporation (ServiceMax)

4.73 Losant IoT

4.74 Robert Bosch GmbH

4.75 Pepper

4.76 Terminus Group

4.77 Tuya Inc.

4.78 NXP Semiconductors (Freescale Semiconductor)

4.79 Axiomtek Co. Ltd.

4.80 Pinnacle Solutions Inc.

4.81 Schneider Electric

4.82 TCL Technology

4.83 GREE Electric Appliances Inc.

4.84 Hisense International

4.85 Lenovo

4.86 Midea

5. AIoT Market Analysis and Forecasts 2026-2030

5.1 AIoT Market 2026-2030

5.1.1 Global AIoT Market 2026-2030

5.1.2 Global AIoT Market by Segment

5.1.2.1 Global AIoT Market by Infrastructure Type

5.1.2.1.1 Global AIoT Market by Chipset Type

5.1.2.1.1.1 Global AIoT Market by 3D Sensing Technology

5.1.2.1.1.2 Global AIoT Market by 3D Sensing Application

5.1.2.1.2 Global AIoT Market by Cloud Infrastructure Type

5.1.2.2 Global AIoT Market by Software and Platform Type

5.1.2.2.1 Global AIoT Market by Analytics Software Type

5.1.2.3 Global AIoT Market by Service Type

5.1.2.3.1 Global AIoT Market by Professional Service Type

5.1.3 Global AIoT Market by AI Technology

5.1.4 Global AIoT Market by Application

5.1.5 Global AIoT Market by IoT Sector

5.1.6 Global AIoT Market by City vs. Rural Zone

5.1.7 Global AIoT Market by Deployment

5.1.8 Global AIoT Market by Marketing Channel

5.1.9 Global AIoT Market by Enterprise Size

5.1.10 Global AIoT Market by Industry Vertical

5.1.11 Global Smart City Market in AIoT

5.1.12 Global IoT Data as a Service Market in AIoT

5.1.13 Global AI Decision as a Service Market in AIoT

5.1.14 Global Blockchain Driven AIoT Market

5.1.15 Global 5G Driven AIoT Market

5.1.16 Global AIoT Market by Region

5.1.16.1 North America AIoT Market by Country

5.1.16.2 APAC AIoT Market by Country

5.1.16.3 Europe AIoT Market by Country

5.1.16.4 MEA AIoT Market by Country

5.1.16.5 Latin America AIoT Market by Country

5.2 Regional AIoT Market 2026-2030

5.2.1 North America AIoT Market by Infrastructure, Platform, Service, Technology, Application, Deployment, Marketing Channel, Industry Vertical, Smart City, IoT DaaS, AI Decision Service, Blockchain, and 5G

5.2.2 APAC AIoT Market by Infrastructure, Platform, Service, Technology, Application, Deployment, Marketing Channel, Industry Vertical, Smart City, IoT DaaS, AI Decision Service, Blockchain, and 5G

5.2.3 Europe AIoT Market by Infrastructure, Platform, Service, Technology, Application, Deployment, Marketing Channel, Industry Vertical, Smart City, IoT DaaS, AI Decision Service, Blockchain, and 5G

5.2.4 MEA AIoT Market by Infrastructure, Platform, Service, Technology, Application, Deployment, Marketing Channel, Industry Vertical, Smart City, IoT DaaS, AI Decision Service, Blockchain, and 5G

5.2.5 Latin America AIoT Market by Infrastructure, Platform, Service, Technology, Application, Deployment, Marketing Channel, Industry Vertical, Smart City, IoT DaaS, AI Decision Service, Blockchain, and 5G

5.3 AIoT Deployment Unit 2026-2030

5.3.1 Global AIoT Deployment Unit 2026-2030

5.3.2 Global AIoT Deployment Unit by Segment

5.3.2.1 Global AIoT Deployment Unit by Infrastructure Type

5.3.2.1.1 Global AIoT Deployment Unit by Chipset Type

5.3.2.1.2 Global AIoT Deployment Unit by Cloud Infrastructure Type

5.3.2.2 Global AIoT Deployment Unit by Software and Platform Type

5.3.3 Global AIoT Deployment Unit by Region

5.3.3.1 North America AIoT Deployment Unit by Country

5.3.3.2 APAC AIoT Deployment Unit by Country

5.3.3.3 Europe AIoT Deployment Unit by Country

5.3.3.4 MEA AIoT Deployment Unit by Country

5.3.3.5 Latin America AIoT Deployment Unit by Country

5.4 Regional AIoT Deployment Unit 2026-2030

5.4.1 North America AIoT Deployment Unit by Infrastructure and Software Platform

5.4.2 APAC AIoT Deployment Unit by Infrastructure and Software Platform

5.4.3 Europe AIoT Deployment Unit by Infrastructure and Software Platform

5.4.4 MEA AIoT Deployment Unit by Infrastructure and Software Platform

5.4.5 Latin America AIoT Deployment Unit by Infrastructure and Software Platform

For more information about this report visit https://www.researchandmarkets.com/r/sww1xj

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