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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1527352

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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1527352

Global Artificial Intelligence of Things Market Size study, by Deployment, by Application, by Industry, and Regional Forecasts 2022-2032

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Global Artificial Intelligence of Things (AIoT) Market, valued at approximately USD 35.65 billion in 2023, is poised for substantial growth with a forecasted compound annual growth rate (CAGR) of 32.4% from 2024 to 2032. Artificial Intelligence of Things (AIoT) is a transformative technology that merges artificial intelligence (AI) with the Internet of Things (IoT), facilitating data collection, learning, and planning capabilities in machines. This convergence has led to widespread applications across diverse domains, including transportation, smart homes, manufacturing, and healthcare, thereby modernizing industries and enhancing individuals' quality of life.

The increasing adoption of IoT devices, enhancements in computing power, advancements in AI algorithms, and the demand for efficient operations and data-driven insights have collectively fueled the growing demand for AIoT solutions. Sectors such as agriculture, smart homes, healthcare, manufacturing, and transportation are actively leveraging AIoT to boost production, improve consumer experiences, reduce costs, and gain a competitive edge. For instance, Amazon Go stores revolutionized retail with AIoT by integrating IoT devices that automate transactions and inventory management, thus significantly enhancing the shopping experience. The development of sustainable smart cities presents a significant market opportunity for the AIoT market, as AIoT solutions facilitate process automation, intelligent decision-making, and increased efficiency in energy and water management. However, the integration of AI and IoT devices raises significant security and privacy concerns. The vast amounts of data collected and analyzed by AIoT systems, including personal and sensitive information, make them vulnerable to cyberattacks. Ensuring data privacy and protecting AIoT networks from cyber threats are critical challenges that could impede market growth.

The key regions considered for the Global Artificial Intelligence of Things (AIoT) Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is a dominating region in the Global Artificial Intelligence of Things (AIoT) Market in terms of revenue. The market growth in the region is being attributed to factors including the widespread adoption of IoT across various sectors. The region's rapid deployment of sensors and IoT devices to enhance operational efficiency has contributed to its leading market share. Whereas, the market in the Asia Pacific is anticipated to grow at the fastest rate over the forecast period fueled by the large population, widespread adoption of internet and mobile technologies, and thriving manufacturing sector are key drivers of AIoT demand.

Major market players included in this report are:

  • BOSCH (Germany)
  • Advantech Co., Ltd. (Taiwan)
  • Nvidia Corporation (U.S.)
  • CMS Info Systems (India)
  • Amazon Web Services (U.S.)
  • Microsoft Corporation (U.S.)
  • Inventec Corporation (Taiwan)
  • Intel Corporation (U.S.)
  • Qualcomm (U.S.)
  • ARM (U.K.)
  • PTC (U.S.)
  • Google LLC
  • IBM Corporation
  • Samsung Electronics Co., Ltd.
  • Huawei Technologies Co., Ltd.
  • Cisco Systems, Inc.

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

By Deployment:

  • Cloud-based
  • Edge AIoT

By Application:

  • Video Surveillance
  • Robust Asset Management
  • Inventory Management
  • Energy Consumption Management
  • Predictive Maintenance
  • Real-Time Machinery Condition Monitoring
  • Supply Chain Management

By Industry:

  • Healthcare
  • Automotive & Transportation
  • Retail
  • Agriculture
  • Manufacturing
  • Logistics
  • BFSI
  • Others (Oil & Gas)

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

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 approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

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 Deployment
    • 1.3.2. By Application
    • 1.3.3. By Industry
  • 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
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. 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. Increasing Use of IoT Devices and AI Algorithms
    • 3.1.2. Demand for Efficient Operations and Data-Driven Insights
  • 3.2. Market Challenges
    • 3.2.1. Data Security and Privacy Concerns
    • 3.2.2. Technical Complexity and Integration Issues
  • 3.3. Market Opportunities
    • 3.3.1. Development of Sustainable Smart Cities
    • 3.3.2. Advancements in Industrial Automation and Robotics

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 Deployment 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global AIoT Market: Deployment Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Cloud-based
    • 5.2.2. Edge AIoT

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

  • 6.1. Segment Dashboard
  • 6.2. Global AIoT Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Video Surveillance
    • 6.2.2. Robust Asset Management
    • 6.2.3. Inventory Management
    • 6.2.4. Energy Consumption Management
    • 6.2.5. Predictive Maintenance
    • 6.2.6. Real-Time Machinery Condition Monitoring
    • 6.2.7. Supply Chain Management

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

  • 7.1. Segment Dashboard
  • 7.2. Global AIoT Market: Industry Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Healthcare
    • 7.2.2. Automotive & Transportation
    • 7.2.3. Retail
    • 7.2.4. Agriculture
    • 7.2.5. Manufacturing
    • 7.2.6. Logistics
    • 7.2.7. BFSI
    • 7.2.8. Others (Oil & Gas)

Chapter 8. Global Artificial Intelligence of Things (AIoT) Market Size & Forecasts by Region 2022-2032

  • 8.1. North America AIoT Market
    • 8.1.1. U.S. AIoT Market
      • 8.1.1.1. Deployment breakdown size & forecasts, 2022-2032
      • 8.1.1.2. Application breakdown size & forecasts, 2022-2032
      • 8.1.1.3. Industry breakdown size & forecasts, 2022-2032
    • 8.1.2. Canada AIoT Market
  • 8.2. Europe AIoT Market
    • 8.2.1. U.K. AIoT Market
    • 8.2.2. Germany AIoT Market
    • 8.2.3. France AIoT Market
    • 8.2.4. Spain AIoT Market
    • 8.2.5. Italy AIoT Market
    • 8.2.6. Rest of Europe AIoT Market
  • 8.3. Asia-Pacific AIoT Market
    • 8.3.1. China AIoT Market
    • 8.3.2. India AIoT Market
    • 8.3.3. Japan AIoT Market
    • 8.3.4. Australia AIoT Market
    • 8.3.5. South Korea AIoT Market
    • 8.3.6. Rest of Asia Pacific AIoT Market
  • 8.4. Latin America AIoT Market
    • 8.4.1. Brazil AIoT Market
    • 8.4.2. Mexico AIoT Market
    • 8.4.3. Rest of Latin America AIoT Market
  • 8.5. Middle East & Africa AIoT Market
    • 8.5.1. Saudi Arabia AIoT Market
    • 8.5.2. South Africa AIoT Market
    • 8.5.3. Rest of Middle East & Africa AIoT Market

Chapter 9. Competitive Intelligence

  • 9.1. Key Company SWOT Analysis
  • 9.2. Top Market Strategies
  • 9.3. Company Profiles
    • 9.3.1. BOSCH
      • 9.3.1.1. Key Information
      • 9.3.1.2. Overview
      • 9.3.1.3. Financial (Subject to Data Availability)
      • 9.3.1.4. Product Summary
      • 9.3.1.5. Market Strategies
    • 9.3.2. Advantech Co., Ltd.
    • 9.3.3. Nvidia Corporation
    • 9.3.4. CMS Info Systems
    • 9.3.5. Amazon Web Services
    • 9.3.6. Microsoft Corporation
    • 9.3.7. Inventec Corporation
    • 9.3.8. Intel Corporation
    • 9.3.9. Qualcomm
    • 9.3.10. ARM
    • 9.3.11. PTC
    • 9.3.11. Google LLC
    • 9.3.12. IBM Corporation
    • 9.3.13. Samsung Electronics Co., Ltd.
    • 9.3.14. Huawei Technologies Co., Ltd.
    • 9.3.15. Cisco Systems, Inc.

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
  • 10.2. Research Attributes
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