AIoT Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

AIoT Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032


The global AIoT market was worth USD 10.8 billion in 2023 and is predicted to grow at a CAGR of 24.6% from 2024 to 2032. This rapid growth is largely driven by increased government initiatives aimed at digital transformation. Governments worldwide are recognizing the potential of AIoT technologies to boost efficiency, foster innovation, and enhance public services. By funding projects in smart cities, advanced manufacturing, and digital infrastructure, they are creating a supportive environment for AIoT adoption, often focusing on integrating AI and IoT to optimize resource management, transportation, and healthcare systems.A significant driver of AIoT market growth is the emphasis on energy efficiency and sustainability. With growing concerns about climate change and resource depletion, both businesses and governments are prioritizing technologies that reduce energy consumption and optimize resource use. AIoT solutions are crucial for achieving these sustainability goals by allowing smarter energy management and automation. This focus on sustainability is spurring investments in AIoT technologies across various sectors as organizations strive to enhance operational efficiency while minimizing their environmental impact.The software segment dominated the AIoT market, accounting for over 65% of the market share in 2023, and is expected to surpass USD 45 billion by 2032. This growth is driven by the increasing need for advanced data analytics. As companies incorporate AIoT solutions, they create huge data from interconnected tools. This data holds valuable insights that can optimize operations, enhance decision-making, and drive innovation. AIoT software with sophisticated analytics capabilities allows businesses to process and analyze data in real-time, identifying patterns, trends, and anomalies. As industries focus more on becoming data-driven, the demand for AIoT software with robust analytics features continues to grow.Regarding deployment, the cloud segment held around 67% of the market share in 2023. The demand for scalable and flexible infrastructure is driving the growth of cloud deployment. Cloud platforms offer the scalability needed to handle fluctuating workloads, enabling organizations to adjust their resources in real-time. In addition, cloud deployment accelerates the continuous incorporation of AI and IoT capabilities, allowing advanced data processing and analytics without extensive on-premises infrastructure. This reduces upfront costs and simplifies maintenance, making it an attractive option for organizations of all sizes.U.S. AIoT market captured an 80% share in 2023 and is expected to exceed USD 17 billion by 2032. This dominance is due to the increasing emphasis on smart manufacturing and industrial automation. Smart manufacturing uses interconnected devices and advanced analytics to minimize production procedures, monitor equipment execution, and detect maintenance requirements. By integrating AI with IoT systems, businesses can gain real-time insights into their operations, enabling faster decision-making and improved resource management. The need for personalized goods and active supply chains further encourages manufacturers to implement AIoT solutions that enable flexibility and responsiveness.


Chapter 1 Methodology and Scope
1.1 Research Design
1.1.1 Research approach
1.1.2 Data collection methods
1.2 Base estimates and calculations
1.2.1 Base year calculation
1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research & validation
1.4.1 Primary sources
1.4.2 Data mining sources
1.5 Market definitions
Chapter 2 Executive Summary
2.1 Industry 360 degree synopsis, 2018-2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM), 2024 - 2032
2.2.1.1 TAM trends
2.3 Regional trends
2.4 Component trends
2.5 Deployment trends
2.6 End-user trends
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.1.1 Technology providers
3.1.2 Cloud service providers
3.1.3 Telecommunication companies
3.1.4 System integrators
3.1.5 End-users
3.2 Supplier landscape
3.2.1 Supplier landscape
3.3 Technology and innovation landscape
3.3.2 Artificial Intelligence (AI) & Machine Learning (ML)
3.3.3 Edge computing
3.3.1 Cloud computing
3.3.2 Natural Language Processing (NLP)
3.4 Patent analysis
3.5 Key news and initiatives
3.6 Regulatory landscape
3.6.1 North America
3.6.2 Europe
3.6.3 Asia Pacific
3.6.4 Latin America
3.6.5 MEA
3.7 Industry impact forces
3.7.1 Growth drivers
3.7.1.1 Rising adoption in manufacturing industry
3.7.1.2 High efficiency of AIoT platform devices
3.7.1.3 Increased adoption of AIoT platforms devices across sectors for real-time decision making
3.7.1.4 Growing investment in IoT
3.7.2 Industry pitfalls and challenges
3.7.2.1 Shortage of skilled workforce in companies requiring expertise in AIoT platforms
3.7.2.2 Complexities in industry value chain
3.8 Growth potential analysis
3.9 Porter's analysis
3.10 PESTEL analysis
Chapter 4 Competitive Landscape
4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix
Chapter 5 AIoT Market, By Component
5.1 Key trends
5.2 Software
5.3 Service
Chapter 6 AIoT Market, By Deployment
6.1 Key trends
6.2 On-premises
6.3 Cloud
Chapter 7 AIoT Market, By End-use
7.1 Key trends
7.2 Manufacturing
7.3 Healthcare
7.4 Retail
7.5 BFSI
7.6 Infrastructure
7.7 Automotive
7.8 Others
Chapter 8 AIoT Market, By Region
8.1 Key trends
8.2 North America
8.3 Europe
8.4 Asia Pacific
8.5 Latin America
8.6 MEA
Chapter 9 Company Profiles
9.1 Amazon Web Services (AWS)
9.1.1 Global Overview
9.1.2 Market/Business Overview
9.1.3 Financial Data
9.1.3.1 Sales Revenue, 2021-2023
9.1.4 Product Landscape
9.1.5 Strategic Outlook
9.1.6 SWOT analysis
9.2 Alibaba Group Holding Limited
9.2.1 Global Overview
9.2.2 Market/Business Overview
9.2.3 Financial Data
9.2.3.1 Sales Revenue, 2021-2023
9.2.4 Product Landscape
9.2.5 SWOT analysis
9.3 Baidu, Inc.
9.3.1 Global Overview
9.3.2 Market/Business Overview
9.3.3 Financial Data
9.3.3.1 Sales Revenue, 2021-2023
9.3.4 Product Landscape
9.3.5 Strategic Outlook
9.3.6 SWOT analysis
9.4 Brighterion, Inc
9.4.1 Global Overview
9.4.2 Market/Business Overview
9.4.3 Financial Data
9.4.3.1 Sales Revenue, 2021-2023
9.4.4 Product Landscape
9.4.5 SWOT analysis
9.5 Canvass Analytics
9.5.1 Global Overview
9.5.2 Market/Business Overview
9.5.3 Financial Data
9.5.4 Product Landscape
9.5.5 SWOT analysis
9.6 Cisco Systems
9.6.1 Global Overview
9.6.2 Market/Business Overview
9.6.3 Financial Data
9.6.3.1 Sales Revenue, 2020-2023
9.6.4 Product Landscape
9.6.5 Strategic Outlook
9.6.6 SWOT Analysis
9.7 Fujitsu
9.7.1 Global Overview
9.7.2 Market/Business Overview
9.7.3 Financial Data
9.7.3.1 Sales Revenue, 2020-2023
9.7.4 Product Landscape
9.7.5 SWOT analysis
9.8 General Vision Inc.
9.8.1 Global Overview
9.8.2 Market/Business Overview
9.8.3 Financial Data
9.8.4 Product Landscape
9.8.5 SWOT analysis
9.9 Google LLC
9.9.1 Global Overview
9.9.2 Market/Business Overview
9.9.3 Financial Data
9.9.3.1 Sales Revenue, 2021-2023
9.9.4 Product Landscape
9.9.5 Strategic Outlook
9.9.6 SWOT analysis
9.10 Hewlett Packard Enterprise
9.10.1 Global Overview
9.10.2 Market/Business Overview
9.10.3 Financial Data
9.10.3.1 Sales Revenue, 2020-2023
9.10.4 Product Landscape
9.10.5 Strategic Outlook
9.10.6 SWOT analysis
9.11 Huawei Technologies Co. Ltd.
9.11.1 Global Overview
9.11.2 Market/Business Overview
9.11.3 Financial Data
9.11.3.1 Sales Revenue, 2020-2023
9.11.4 Product Landscape
9.11.5 SWOT analysis
9.12 IBM Corporation
9.12.1 Global Overview
9.12.2 Market/Business Overview
9.12.3 Financial Data
9.12.3.1 Sales Revenue, 2021-2023
9.12.4 Product Landscape
9.12.5 Strategic Outlook
9.12.6 SWOT analysis
9.13 Intel Corporation
9.13.1 Global Overview
9.13.2 Market/Business Overview
9.13.3 Financial Data
9.13.3.1 Sales Revenue, 2021-2023
9.13.4 Product Landscape
9.13.5 Strategic Outlook
9.13.6 SWOT analysis
9.14 Microsoft Corporation
9.14.1 Global overview
9.14.2 Market/Business overview
9.14.3 Financial data
9.14.3.1 Sales revenue, 2022-2024
9.14.4 Product landscape
9.14.5 SWOT analysis
9.15 NVIDIA Corporation
9.15.1 Global Overview
9.15.2 Market/Business Overview
9.15.3 Financial Data
9.15.3.1 Sales Revenue, 2021-2024
9.15.4 Product Landscape
9.15.5 Strategic Outlook
9.15.6 SWOT analysis
9.16 Oracle Corporation
9.16.1 Global Overview
9.16.2 Market/Business Overview
9.16.3 Financial Data
9.16.3.1 Sales Revenue, 2021-2023
9.16.4 Product Landscape
9.16.5 Strategic Outlook
9.16.6 SWOT analysis
9.17 PTC Inc.
9.17.1 Global Overview
9.17.2 Market/Business Overview
9.17.3 Financial Data
9.17.3.1 Sales Revenue, 2021-2024
9.17.4 Product landscape
9.17.5 SWOT analysis
9.18 Qualcomm Technologies
9.18.1 Global Overview
9.18.2 Market/Business Overview
9.18.3 Financial Data
9.18.3.1 Sales Revenue, 2020-2023
9.18.4 Product Landscape
9.18.5 SWOT analysis
9.19 SAP SE
9.19.1 Global Overview
9.19.2 Market/Business Overview
9.19.3 Financial Data
9.19.3.1 Sales Revenue, 2020-2023
9.19.4 Product Landscape
9.19.5 SWOT Analysis
9.20 Tencent Holdings Ltd.
9.20.1 Global overview
9.20.2 Market/Business overview
9.20.3 Financial data
9.20.3.1 Sales revenue, 2021-2023
9.20.4 Product landscape
9.20.5 SWOT analysis

Download our eBook: How to Succeed Using Market Research

Learn how to effectively navigate the market research process to help guide your organization on the journey to success.

Download eBook
Cookie Settings