Global Artificial Intelligence of Things Market Size Study, by Technology, by Platform, and Regional Forecasts 2022-2032

Description

The Global Artificial Intelligence of Things (AIoT) Market is valued at approximately USD 14.4 billion in 2023 and is anticipated to grow at a robust compound annual growth rate (CAGR) of 14.4% during the forecast period of 2024 to 2032. AIoT, an integration of artificial intelligence with IoT, is revolutionizing industries by enabling smart, autonomous systems that respond in real-time. This synergy transforms raw IoT data into actionable intelligence, fostering efficient decision-making and predictive capabilities. Industries are leveraging AIoT to enhance productivity, reduce operational costs, and deliver superior customer experiences, positioning AIoT as a cornerstone of digital transformation.

The burgeoning AIoT market is underpinned by advancements in machine learning, natural language processing, and IoT connectivity technologies. Organizations are rapidly adopting AIoT solutions for their ability to optimize complex systems, improve automation, and offer real-time insights. For example, AIoT platforms in manufacturing enable predictive maintenance by analyzing sensor data to foresee equipment failures, thus minimizing downtime. However, challenges like the high cost of implementation, data privacy concerns, and limited interoperability among IoT devices pose hurdles to market growth. Despite these challenges, the increasing investment in IoT cloud infrastructure and advancements in AI algorithms provide a conducive environment for the proliferation of AIoT applications.

Globally, the AIoT market is gaining traction in diverse sectors, including healthcare, manufacturing, automotive, and retail. The deployment of AIoT-enabled systems enhances operational efficiency by enabling real-time monitoring, intelligent automation, and predictive analytics. In healthcare, AIoT-powered devices facilitate remote patient monitoring, early diagnosis, and personalized treatment. Similarly, in the automotive industry, AIoT is pivotal in enabling connected cars, autonomous driving, and vehicle-to-everything (V2X) communication, marking a new era of mobility solutions.

Regionally, North America dominates the AIoT market, driven by the presence of key technology players, a robust digital infrastructure, and significant R&D investments in AI and IoT. Europe, with its strong focus on sustainability and digitalization, is a critical market for AIoT adoption in industries like energy, manufacturing, and logistics. The Asia-Pacific region is poised to witness the fastest growth during the forecast period, fueled by rapid industrialization, expanding smart city initiatives, and increasing IoT adoption in countries such as China, Japan, and India.

Major market players included in this report are:

IBM Corporation
Intel Corporation
Microsoft Corporation
Google LLC
Amazon Web Services, Inc. (AWS)
Cisco Systems, Inc.
Oracle Corporation
NVIDIA Corporation
SAP SE
Honeywell International Inc.
Samsung Electronics Co., Ltd.
Siemens AG
Bosch Group
Rockwell Automation, Inc.
HCL Technologies Limited

The detailed segments and sub-segments of the market are explained below:

By Technology:

Machine Learning
Natural Language Processing
Computer Vision
Context-Aware AI

By Platform:

IoT Device Management
IoT Application Enablement Platforms
IoT Connectivity
IoT Cloud
IoT Advanced Analytics

By Region:

North America:

U.S.
Canada

Europe:

UK
Germany
France
Spain
Italy
Rest of Europe

Asia Pacific:

China
India
Japan
Australia
South Korea
Rest of Asia Pacific

Latin America:

Brazil
Mexico

Middle East & Africa:

Saudi Arabia
South Africa
Rest of Middle East & Africa

Years considered for the study are as follows:

Historical Year: 2022
Base Year: 2023
Forecast Period: 2024 to 2032

Key Takeaways:

Market estimates & forecast for 10 years from 2022 to 2032.
Annualized revenues and regional-level analysis for each market segment.
Detailed analysis of geographical landscape with country-level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approaches.
Analysis of competitive structure of the market.
Demand-side and supply-side analysis of the market.

Chapter 1. Global Artificial Intelligence of Things (AIoT) Market Executive Summary

1.1. Global AIoT Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
- 1.3.1. By Technology
  - Machine Learning
  - Natural Language Processing
  - Computer Vision
  - Context-Aware AI
- 1.3.2. By Platform
  - IoT Device Management
  - IoT Application Enablement Platforms
  - IoT Connectivity
  - IoT Cloud
  - IoT Advanced Analytics
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Artificial Intelligence of Things (AIoT) Market Definition and Research Assumptions

2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
  - Availability
  - Infrastructure
  - Regulatory Environment
  - Market Competition
  - Economic Viability (Consumer's Perspective)
- 2.3.4. Demand Side Analysis
  - Regulatory Frameworks
  - Technological Advancements
  - Environmental Considerations
  - Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

Chapter 3. Global Artificial Intelligence of Things (AIoT) Market Dynamics

3.1. Market Drivers
- 3.1.1. Synergistic Integration of AI and IoT Enhancing Operational Efficiency
- 3.1.2. Advanced Analytics Enabling Predictive Maintenance and Real-Time Decision-Making
- 3.1.3. Digital Transformation Acceleration across Multiple Industries
3.2. Market Challenges
- 3.2.1. High Cost of Implementation and Integration
- 3.2.2. Data Privacy, Security, and Interoperability Concerns
- 3.2.3. Complexity in Adopting and Scaling Advanced AIoT Solutions
3.3. Market Opportunities
- 3.3.1. Expanding Investment in IoT Cloud Infrastructure
- 3.3.2. Continuous Advancements in AI Algorithms and Sensor Technologies
- 3.3.3. Growing Penetration across Diverse Industry Sectors

Chapter 4. Global Artificial Intelligence of Things (AIoT) Market Industry Analysis

4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model
- 4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
4.3. Top Investment Opportunity
4.4. Top Winning Strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Artificial Intelligence of Things (AIoT) Market Size & Forecasts by Technology 2022-2032

5.1. Segment Dashboard
5.2. Global AIoT Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
- 5.2.1. Machine Learning
- 5.2.2. Natural Language Processing
- 5.2.3. Computer Vision
- 5.2.4. Context-Aware AI

Chapter 6. Global Artificial Intelligence of Things (AIoT) Market Size & Forecasts by Platform 2022-2032

6.1. Segment Dashboard
6.2. Global AIoT Market: Platform Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
- 6.2.1. IoT Device Management
- 6.2.2. IoT Application Enablement Platforms
- 6.2.3. IoT Connectivity
- 6.2.4. IoT Cloud
- 6.2.5. IoT Advanced Analytics

Chapter 7. Global Artificial Intelligence of Things (AIoT) Market Size & Forecasts by Region 2022-2032

7.1. North America AIoT Market
- 7.1.1. U.S. AIoT Market
  - 7.1.1.1. Technology breakdown size & forecasts, 2022-2032
  - 7.1.1.2. Platform breakdown size & forecasts, 2022-2032
- 7.1.2. Canada AIoT Market
7.2. Europe AIoT Market
- 7.2.1. U.K. AIoT Market
- 7.2.2. Germany AIoT Market
- 7.2.3. France AIoT Market
- 7.2.4. Spain AIoT Market
- 7.2.5. Italy AIoT Market
- 7.2.6. Rest of Europe AIoT Market
7.3. Asia-Pacific AIoT Market
- 7.3.1. China AIoT Market
- 7.3.2. India AIoT Market
- 7.3.3. Japan AIoT Market
- 7.3.4. Australia AIoT Market
- 7.3.5. South Korea AIoT Market
- 7.3.6. Rest of Asia-Pacific AIoT Market
7.4. Latin America AIoT Market
- 7.4.1. Brazil AIoT Market
- 7.4.2. Mexico AIoT Market
- 7.4.3. Rest of Latin America AIoT Market
7.5. Middle East & Africa AIoT Market
- 7.5.1. Saudi Arabia AIoT Market
- 7.5.2. South Africa AIoT Market
- 7.5.3. Rest of Middle East & Africa AIoT Market

Chapter 8. Competitive Intelligence

8.1. Key Company SWOT Analysis
- 8.1.1. IBM Corporation
- 8.1.2. Intel Corporation
- 8.1.3. Microsoft Corporation
8.2. Top Market Strategies
8.3. Company Profiles
- 8.3.1. IBM Corporation
  - 8.3.1.1. Key Information
  - 8.3.1.2. Overview
  - 8.3.1.3. Financial (Subject to Data Availability)
  - 8.3.1.4. Product Summary
  - 8.3.1.5. Market Strategies
- 8.3.2. Intel Corporation
- 8.3.3. Microsoft Corporation
- 8.3.4. Google LLC
- 8.3.5. Amazon Web Services, Inc. (AWS)
- 8.3.6. Cisco Systems, Inc.
- 8.3.7. Oracle Corporation
- 8.3.8. NVIDIA Corporation
- 8.3.9. SAP SE
- 8.3.10. Honeywell International Inc.
- 8.3.11. Samsung Electronics Co., Ltd.
- 8.3.12. Siemens AG
- 8.3.13. Bosch Group
- 8.3.14. Rockwell Automation, Inc.
- 8.3.15. HCL Technologies Limited

Chapter 9. Research Process

9.1. Research Process
- 9.1.1. Data Mining
- 9.1.2. Analysis
- 9.1.3. Market Estimation
- 9.1.4. Validation
- 9.1.5. Publishing
9.2. Research Attributes