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Global AI in IoT Market - 2025-2035

Publisher DataM Intelligence 4Market Research LLP
Published Apr 14, 2026
Length 186 Pages
SKU # DTAM21122341

Description

Global AI in IoT Market Overview:
The Global AI in IoT Market was valued at US$ 4.08 billion in 2025 and is anticipated to reach US$ 6.45 billion by 2035, at a CAGR of 0.0408 from 2026 to 2032.
The report delivers in-depth insights into key market dynamics, including regional growth trends, market segmentation, CAGR projections, and the revenue performance of leading industry players. It also highlights major growth drivers shaping the market landscape. Designed to provide a clear and comprehensive perspective, the report offers a detailed view of the current market size in terms of both value and volume, along with emerging opportunities and the overall development outlook of the Global AI in IoT Market.

This report delivers a comprehensive overview of the Global AI in IoT Market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding Global AI in IoT Market. The Global AI in IoT Market size, estimates, and forecasts are provided in terms of output/shipments (K MT) and revenue (US$ millions), with 2025 as the base year and historical and forecast data for 2025–2035.

Global AI in IoT Market Scope:
By Offering
• Hardware
• Software
• Services

By Deployment Layer
• Endpoint Device
• Edge Node
• On Premises Platform
• Cloud Platform
• Hybrid Distributed

By AI Technology
• Machine Learning
• Deep Learning
• Computer Vision
• Speech And Audio
• Natural Language And LLM
• Reinforcement And Optimization
• Federated Learning
• Generative AI

By Connectivity
• Cellular
• Short Range (Wi-Fi and Bluetooth)
• Mesh (Zigbee, Thread, Matter Adjacent Device Layer)
• LPWAN (LoRaWAN and Proprietary LPWAN)
• Wired (Ethernet, Industrial Ethernet, Fieldbus, Serial)
• Satellite IOT

By Organization Size
• Large Enterprise
• Mid-Market
• SME
• Government And Utility

By Business Model
• CAPEX Led
• Subscription Led
• Usage Led
• Outcome Led

By Data Modality
• Vision (Image And Video)
• Audio (Acoustic And Speech)
• Time Series
• Location (GNSS and RTLS)
• Multimodal (Vision, Audio, Sensor Fusion)

By Application
• Industrial Operations
• Asset And Fleet
• Energy And Utilities
• Healthcare
• Retail And Consumer
• Agriculture
• Buildings And Cities

By End-User
• Manufacturing
• Energy And Utilities
• Transportation And Logistics
• Healthcare
• Retail
• Buildings
• Agriculture
• Automotive And Mobility
• Mining
• Public Sector

Key Players
• Microsoft Corporation
• Amazon.com, Inc.
• IBM
• Cisco Systems, Inc.
• Intel Corporation
• NVIDIA Corporation
• Qualcomm Incorporated
• PTC Inc.
• Siemens AG
• Schneider Electric SE
• ABB Ltd
• Robert Bosch GmbH
• Hitachi, Ltd.
• Huawei Investment and Holding Co., Ltd.
• Samsung Electronics Co., Ltd.
• Advantech Co., Ltd.
• Nokia Corporation
• Telefonaktiebolaget LM Ericsson
• Honeywell International Inc.
• Rockwell Automation, Inc.

Major Highlights
This report delivers a comprehensive overview of the Global AI in IoT Market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding Global AI in IoT Market. The Global AI in IoT Market size, estimates, and forecasts are provided in terms of output/shipments (K Sqm) and revenue (US$ millions), with 2025 as the base year and historical and forecast data for 2025–2035.

This report will assist keyword manufacturers, new entrants, and companies across the industry value chain with information on revenues, production, and average prices for the overall market and its sub-segments, by company, by Type, by Application, and by region.

Regional Analysis:
North America (U.S., Canada, Mexico)
Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
South America (Colombia, Brazil, Argentina, Rest of South America)
Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

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Target Audience 2026
• Manufacturers/ Buyers
• Industry Investors/Investment Bankers
• Research Professionals
• Emerging Companies

Table of Contents

186 Pages
1. Methodology and Scope
1.1. Research Data
1.1.1. Secondary Data
1.1.2. Primary Data
1.1.3. CAGR Analysis
1.2. Market Size Estimation Methodology
1.2.1. Bottom-Up Approach
1.2.2. Top-Down Approach
1.3. Market Breakdown & Data Triangulation
1.4. Research Assumptions
1.5. Limitations
2. Definition and Overview
2.1. Study Objectives
2.2. Market Definition
2.3. Market Scope
2.4. Stakeholder Analysis
2.5. Currency Considered
2.6. Study Period
3. Executive Summary
3.1. Key Takeaways
3.2. Top To Bottom Analysis
3.3. Market Share Analysis
3.4. Data Points from Key Primary Interviews
3.5. Data Points from Key Secondary Databases
3.6. Market Snapshot
3.7. Geographical Snapshot
4. Dynamics
4.1. Impacting Factors
4.1.1. Drivers
4.1.1.1. Industrial Edge AI Adoption in Asset-Intensive Industries
4.1.1.2. Real-time AI decision making in industrial operations
4.1.1.3. Predictive maintenance replacing manual inspections
4.1.2. Restraints
4.1.2.1. Fragmented Data Ecosystems and Integration Complexity
4.1.2.2. Legacy system integration challenges in industrial setups
4.1.3. Impact Analysis - Drivers and Restraints
4.1.4. Opportunity
4.1.4.1. AI IoT in decentralized energy and smart grids
4.1.4.2. Autonomous logistics and warehouse automation
4.1.5. Trends
4.1.5.1. AI chips designed specifically for edge IoT devices
4.1.5.2. Low-code platforms enabling faster AI IoT deployment
4.1.6. Challenges
5. Industry Analysis
5.1. Porter’s Five Force Analysis
5.2. Political Factors
5.3. Social Factors
5.3.1. Increasing workforce reliance on AI-enabled systems
5.3.2. Rising adoption of smart infrastructure in urban areas
5.3.3. Shift toward automation-driven lifestyles
5.4. Economic Factors
5.4.1. Increased industrial automation investments globally
5.4.2. Cost optimization through AI-driven efficiencies
5.4.3. Government funding for digital transformation projects
5.5. Geopolitical Factors
5.6. Supply/Value Chain Analysis
5.7. Pricing Analysis
5.8. Regulatory Analysis
5.9. Technology Landscape
5.10. Innovation & R&D Trends
5.11. Sustainability and ESG Analysis
5.12. Risk Avoidance Model
5.13. Go-To-Market (GTM) Strategy
5.14. BCG Matrix
5.15. Business Models Analysis
5.16. Demand-Supply Gap
5.17. Risk Mitigation Framework
5.18. Compliance Roadmap
5.19. Strategic Implications
5.20. Emerging Opportunities
5.21. Adoption Trends
5.22. Disruption Analysis
5.23. DMI Opinion
6. By Offering
6.1. Introduction
6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
6.1.2. Market Attractiveness Index, By Offering
6.2. Hardware*
6.2.1. Introduction
6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
6.2.3. Edge AI Semiconductors
6.2.4. Connectivity Silicon And Modules
6.2.5. Sensors And Sensor Hubs
6.2.6. Gateways And Edge Computers
6.2.7. Connected Endpoints
6.3. Software
6.3.1. Device Lifecycle Software
6.3.2. Connectivity Management
6.3.3. Data Ingestion And Stream Processing
6.3.4. Edge Orchestration and MLOps
6.3.5. Analytics And AI Apps
6.3.6. Cybersecurity for IOT
6.4. Services
6.4.1. Consulting And Design
6.4.2. Systems Integration
6.4.3. Managed Operations
7. By Deployment Layer
7.1. Introduction
7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Layer
7.1.2. Market Attractiveness Index, By Deployment Layer
7.2. Endpoint Device*
7.2.1. Introduction
7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Edge Node
7.4. On Premises Platform
7.5. Cloud Platform
7.6. Hybrid Distributed
8. By AI Technology
8.1. Introduction
8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By AI Technology
8.1.2. Market Attractiveness Index, By AI Technology
8.2. Machine Learning*
8.2.1. Introduction
8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Deep Learning
8.4. Computer Vision
8.5. Speech And Audio
8.6. Natural Language And LLM
8.7. Reinforcement And Optimization
8.8. Federated Learning
8.9. Generative AI
9. By Connectivity
9.1. Introduction
9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Connectivity
9.1.2. Market Attractiveness Index, By Connectivity
9.2. Cellular*
9.2.1. Introduction
9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.2.3. NB IOT and LTE M
9.2.4. 4G and 5G
9.3. Short Range (Wi-Fi and Bluetooth)
9.4. Mesh (Zigbee, Thread, Matter Adjacent Device Layer)
9.5. LPWAN (LoRaWAN and Proprietary LPWAN)
9.6. Wired (Ethernet, Industrial Ethernet, Fieldbus, Serial)
9.7. Satellite IOT
10. By Organization Size
10.1. Introduction
10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
10.1.2. Market Attractiveness Index, By Organization Size
10.2. Large Enterprise*
10.2.1. Introduction
10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Mid-Market
10.4. SME
10.5. Government And Utility
11. By Business Model
11.1. Introduction
11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Business Model
11.1.2. Market Attractiveness Index, By Business Model
11.2. CAPEX Led*
11.2.1. Introduction
11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. Subscription Led
11.4. Usage Led
11.5. Outcome Led
12. By Data Modality
12.1. Introduction
12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Data Modality
12.1.2. Market Attractiveness Index, By Data Modality
12.2. Vision (Image And Video)*
12.2.1. Introduction
12.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
12.3. Audio (Acoustic And Speech)
12.4. Time Series
12.5. Location (GNSS and RTLS)
12.6. Multimodal (Vision, Audio, Sensor Fusion)
13. By Application
13.1. Introduction
13.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
13.1.2. Market Attractiveness Index, By Application
13.2. Industrial Operations*
13.2.1. Introduction
13.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
13.2.3. Predictive Maintenance
13.2.4. Quality Inspection
13.2.5. Process Optimization
13.2.6. Worker Safety
13.3. Asset And Fleet
13.3.1. Asset Tracking
13.3.2. Fleet Safety And Telematics
13.4. Energy And Utilities
13.4.1. Smart Metering And Grid Analytics
13.4.2. Energy Optimization
13.5. Healthcare
13.6. Retail And Consumer
13.7. Agriculture
13.8. Buildings And Cities
13.8.1. Smart Building Operations
13.8.2. Smart City Operations
14. By End-User
14.1. Introduction
14.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
14.1.2. Market Attractiveness Index, By End-User
14.2. Manufacturing*
14.2.1. Introduction
14.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
14.2.3. Discrete Manufacturing
14.2.4. Process Manufacturing
14.3. Energy And Utilities
14.4. Transportation And Logistics
14.5. Healthcare
14.6. Retail
14.7. Buildings
14.8. Agriculture
14.9. Automotive And Mobility
14.10. Mining
14.11. Public Sector
15. By Region
15.1. Introduction
15.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
15.1.2. Market Attractiveness Index, By Region
15.2. North America*
15.2.1. Introduction
15.2.2. Key Region-Specific Dynamics
15.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
15.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Layer
15.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By AI Technology
15.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Connectivity
15.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
15.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Business Model
15.2.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Data Modality
15.2.10. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
15.2.11. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
16. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
16.1. U.S.
16.1.1. Canada
16.1.1.1. Mexico
16.2. Europe
16.2.1. Germany
16.2.1.1. UK
16.2.1.2. France
16.2.1.3. Russia
16.2.1.4. Spain
16.2.1.5. Italy
16.2.1.6. Poland
16.2.1.7. Rest of Europe
16.3. Latin America
16.3.1. Brazil
16.3.1.1. Argentina
16.3.1.2. Rest of Latin America
16.4. Asia-Pacific
16.4.1. China
16.4.1.1. India
16.4.1.2. Japan
16.4.1.3. Australia
16.4.1.4. South Korea
16.4.1.5. Indonesia
16.4.1.6. Malaysia
16.4.1.7. Rest of Asia-Pacific
16.5. Middle East and Africa
16.5.1. UAE
16.5.1.1. Saudi Arabia
16.5.1.2. South Africa
16.5.1.3. Israel
16.5.1.4. Turkiye
16.5.1.5. Rest of Middle East and Africa
17. Competitive Landscape
17.1. Competitive Scenario
17.2. Market Share Analysis - Global
17.3. Market Share Analysis - North America
17.4. Market Share Analysis - Europe
17.5. Market Share Analysis - Asia-Pacific
17.6. Mergers and Acquisitions Analysis
17.7. Partner Identification Analysis
17.8. Investment & Funding Landscape
17.9. Strategic Alliances & Innovation Pipeline
18. Company Profiles
18.1. Microsoft Corporation*
18.1.1. Company Overview
18.1.2. Product Portfolio and Description
18.1.3. Revenue Analysis
18.1.4. Pricing Analysis
18.1.5. SWOT Analysis
18.1.6. Recent Developments
18.1.6.1. Major Deals
18.1.6.2. M&A
18.1.6.3. Collaboration
18.1.6.4. Acquisition
18.1.6.5. Joint Ventures
18.1.6.6. Innovations
18.1.7. Recent News
18.1.7.1. Events
18.1.7.2. Conferences
18.1.7.3. Symposiums
18.1.7.4. Webinars
18.2. Amazon.com, Inc.
18.3. IBM
18.4. Cisco Systems, Inc.
18.5. Intel Corporation
18.6. NVIDIA Corporation
18.7. Qualcomm Incorporated
18.8. PTC Inc.
18.9. Siemens AG
18.10. Schneider Electric SE
18.11. ABB Ltd
18.12. Robert Bosch GmbH
18.13. Hitachi, Ltd.
18.14. Huawei Investment and Holding Co., Ltd.
18.15. Samsung Electronics Co., Ltd.
18.16. Advantech Co., Ltd.
18.17. Nokia Corporation
18.18. Telefonaktiebolaget LM Ericsson
18.19. Honeywell International Inc.
18.20. Rockwell Automation, Inc. (LIST NOT EXHAUSTIVE)
19. Appendix
19.1. About Us and Services
19.2. Contact Us

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