Artificial Intelligence Of Things (Aiot) Market By Component (Hardware, Software, Services), By Deployment (On-Premise, Cloud), By Industry Vertical (Retail, Agriculture, Logistics, BFSI, Automotive and Transport, Healthcare, Manufacturing, Others), By Ap
Description
Artificial Intelligence Of Things (Aiot) Market By Component (Hardware, Software, Services), By Deployment (On-Premise, Cloud), By Industry Vertical (Retail, Agriculture, Logistics, BFSI, Automotive and Transport, Healthcare, Manufacturing, Others), By Application (Video Surveillance, Inventory Management, Predictive Maintenance, Supply Chain Management, Others), By End User (B2B, B2G, B2C): Global Opportunity Analysis and Industry Forecast, 2024-2032
The global Artificial Intelligence of Things (AIoT) market was valued at $126.1 billion in 2023, and is projected to reach $1,319.4 billion by 2032, growing at a CAGR of 30.2% from 2024 to 2032.
The AIoT market represents a convergence of artificial intelligence (AI) and the Internet of Things (IoT), creating a powerful ecosystem where connected devices leverage AI capabilities to enhance functionality and drive innovation. This market is witnessing growth and transformation as organizations across various industries recognize the potential of combining AI and IoT technologies. In the AIoT market, IoT devices such as sensors, actuators, and smart devices collect vast amounts of data from the physical world. This data is then processed and analyzed using AI algorithms to derive actionable insights, predict outcomes, and automate processes. AIoT solutions enable devices to learn from data, adapt to changing environments, and make intelligent decisions without human intervention, revolutionizing how businesses operate and interact with their surroundings. Key drivers of the AIoT market include increase in adoption of IoT devices, advancements in AI technologies, and rise in demand for intelligent automation. Companies are deploying AIoT solutions to optimize operations, improve efficiency, enhance customer experiences, and drive business growth. Industries such as manufacturing, healthcare, transportation, agriculture, and smart cities are leveraging AIoT to streamline processes, increase productivity, and deliver innovative services. The AIoT market offers a wide range of opportunities for businesses to innovate and differentiate themselves in a competitive landscape. By integrating AI capabilities into IoT devices, organizations can unlock new revenue streams, improve decision-making, and create personalized experiences for customers.
Surge in proliferation of connected devices, advancements in AI algorithms and increased concern regarding security features and stability of software. Moreover, enhanced user experiences and demand for predictive maintenance are expected to provide lucrative opportunities for the growth of the market during the forecast period. On the contrary, data privacy and security concerns and high cost of implementation limit the growth of the AIoT market.
The AIoT market is segmented into component, deployment mode, end user, industry vertical, application, and region. By component, it is segmented into Hardware, software and services. On the basis of deployment mode, the market is bifurcated into on-premise and cloud. By application, the market is divided into video surveillance, inventory management, predictive management, supply chain management, and others. On the basis of industry vertical, the market is divided into retail, agriculture, logistics, BFSI, automotive and transportation, healthcare, manufacturing and others. By end user, the market is divided into B2C, B2B, and B2G. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
On the basis of deployment mode, the cloud segment is expected to grow at the highest growth rate during the forecast period and as well as projected to be the fastest-growing segment during the forecast period, owing to Cloud-based platforms provide the foundational infrastructure and computing resources necessary to support the massive data processing and storage requirements of AIoT applications. Moreover, cloud services offer seamless integration with IoT devices, enabling real-time data analytics, machine learning, and predictive insights to be delivered efficiently and cost-effectively, thereby driving the growth of the AIoT market.
Region-wise, North America attained the highest growth in 2023. This is attributed to the region's robust infrastructure, technological innovation, and substantial investments in AIoT initiatives. North America hosts a thriving ecosystem of AIoT companies, research institutions, and technology hubs, fostering a conducive environment for the development and adoption of AIoT solutions across diverse industries. However, Asia-Pacific is expected to exhibit the highest growth during the forecast period, owing to increase in digital transformation initiatives. With a growing emphasis on Industry 4.0, smart cities, and connected infrastructure projects, countries in the Asia-Pacific region are witnessing a surge in demand for AIoT solutions to address diverse challenges and capitalize on emerging opportunities, which further contribute to the growth of the global market.
The key players operating in the market include Microsoft Corporation, SAP SE, Alphabet (Google Inc.), Bosch.IO GmbH, Williot, Hitachi, Ltd., International Business Machines Corporation, Siemens AG, GE Vernova, Terminus Group, Falkonry Inc., and Amazon Web Services, Inc. The report highlights the strategies of the key players to improve the market share and sustain competition.
Key Benefits For Stakeholders
This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the artificial intelligence of things (AIoT) market analysis from 2023 to 2032 to identify the prevailing artificial intelligence of things (AIoT) market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the artificial intelligence of things (AIoT) market segmentation assists to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
The report includes the analysis of the regional as well as global artificial intelligence of things (AIoT) market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments
By End User
B2B
B2G
B2C
By Component
Hardware
Software
Services
By Deployment
On-Premise
Cloud
By Industry Vertical
Retail
Agriculture
Logistics
BFSI
Automotive and Transport
Healthcare
Manufacturing
Others
By Application
Video Surveillance
Inventory Management
Predictive Maintenance
Supply Chain Management
Others
By Region
North America
U.S.
Canada
Europe
France
Germany
Italy
Spain
UK
Russia
Rest of Europe
Asia-Pacific
China
Japan
India
South Korea
Australia
Southeast Asia
Rest of Asia-Pacific
LAMEA
Latin America
Turkey
Middle East
Africa
Key Market Players
Alphabet (Google Inc.)
Amazon Web Services, Inc.
Bosch.IO GmbH
Falkonry Inc
GE Vernova
Hitachi, Ltd.
International Business Machines Corporation
Microsoft Corporation
SAP SE
Siemens AG
Terminus Group
Williot
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Table of Contents
501 Pages
- CHAPTER 1: INTRODUCTION
- 1.1. Report description
- 1.2. Key market segments
- 1.3. Key benefits to the stakeholders
- 1.4. Research methodology
- 1.4.1. Primary research
- 1.4.2. Secondary research
- 1.4.3. Analyst tools and models
- CHAPTER 2: EXECUTIVE SUMMARY
- 2.1. CXO perspective
- CHAPTER 3: MARKET OVERVIEW
- 3.1. Market definition and scope
- 3.2. Key findings
- 3.2.1. Top impacting factors
- 3.2.2. Top investment pockets
- 3.3. Porter’s five forces analysis
- 3.3.1. Low bargaining power of suppliers
- 3.3.2. Low threat of new entrants
- 3.3.3. Low threat of substitutes
- 3.3.4. Low intensity of rivalry
- 3.3.5. Low bargaining power of buyers
- 3.4. Market dynamics
- 3.4.1. Drivers
- 3.4.1.1. Proliferation of connected devices
- 3.4.1.2. Advancements in AI Algorithms
- 3.4.1.3. Increased concern regarding security features and stability of software
- 3.4.2. Restraints
- 3.4.2.1. Data privacy and security concerns
- 3.4.2.2. High cost of implementation
- 3.4.3. Opportunities
- 3.4.3.1. Demand for Predictive Maintenance
- 3.4.3.2. Enhanced User Experiences
- CHAPTER 4: ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT
- 4.1. Overview
- 4.1.1. Market size and forecast
- 4.2. Hardware
- 4.2.1. Key market trends, growth factors and opportunities
- 4.2.2. Market size and forecast, by region
- 4.2.3. Market share analysis by country
- 4.3. Software
- 4.3.1. Key market trends, growth factors and opportunities
- 4.3.2. Market size and forecast, by region
- 4.3.3. Market share analysis by country
- 4.4. Services
- 4.4.1. Key market trends, growth factors and opportunities
- 4.4.2. Market size and forecast, by region
- 4.4.3. Market share analysis by country
- CHAPTER 5: ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT
- 5.1. Overview
- 5.1.1. Market size and forecast
- 5.2. On-Premise
- 5.2.1. Key market trends, growth factors and opportunities
- 5.2.2. Market size and forecast, by region
- 5.2.3. Market share analysis by country
- 5.3. Cloud
- 5.3.1. Key market trends, growth factors and opportunities
- 5.3.2. Market size and forecast, by region
- 5.3.3. Market share analysis by country
- CHAPTER 6: ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL
- 6.1. Overview
- 6.1.1. Market size and forecast
- 6.2. Retail
- 6.2.1. Key market trends, growth factors and opportunities
- 6.2.2. Market size and forecast, by region
- 6.2.3. Market share analysis by country
- 6.3. Agriculture
- 6.3.1. Key market trends, growth factors and opportunities
- 6.3.2. Market size and forecast, by region
- 6.3.3. Market share analysis by country
- 6.4. Logistics
- 6.4.1. Key market trends, growth factors and opportunities
- 6.4.2. Market size and forecast, by region
- 6.4.3. Market share analysis by country
- 6.5. BFSI
- 6.5.1. Key market trends, growth factors and opportunities
- 6.5.2. Market size and forecast, by region
- 6.5.3. Market share analysis by country
- 6.6. Automotive and Transport
- 6.6.1. Key market trends, growth factors and opportunities
- 6.6.2. Market size and forecast, by region
- 6.6.3. Market share analysis by country
- 6.7. Healthcare
- 6.7.1. Key market trends, growth factors and opportunities
- 6.7.2. Market size and forecast, by region
- 6.7.3. Market share analysis by country
- 6.8. Manufacturing
- 6.8.1. Key market trends, growth factors and opportunities
- 6.8.2. Market size and forecast, by region
- 6.8.3. Market share analysis by country
- 6.9. Others
- 6.9.1. Key market trends, growth factors and opportunities
- 6.9.2. Market size and forecast, by region
- 6.9.3. Market share analysis by country
- CHAPTER 7: ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION
- 7.1. Overview
- 7.1.1. Market size and forecast
- 7.2. Video Surveillance
- 7.2.1. Key market trends, growth factors and opportunities
- 7.2.2. Market size and forecast, by region
- 7.2.3. Market share analysis by country
- 7.3. Inventory Management
- 7.3.1. Key market trends, growth factors and opportunities
- 7.3.2. Market size and forecast, by region
- 7.3.3. Market share analysis by country
- 7.4. Predictive Maintenance
- 7.4.1. Key market trends, growth factors and opportunities
- 7.4.2. Market size and forecast, by region
- 7.4.3. Market share analysis by country
- 7.5. Supply Chain Management
- 7.5.1. Key market trends, growth factors and opportunities
- 7.5.2. Market size and forecast, by region
- 7.5.3. Market share analysis by country
- 7.6. Others
- 7.6.1. Key market trends, growth factors and opportunities
- 7.6.2. Market size and forecast, by region
- 7.6.3. Market share analysis by country
- CHAPTER 8: ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER
- 8.1. Overview
- 8.1.1. Market size and forecast
- 8.2. B2B
- 8.2.1. Key market trends, growth factors and opportunities
- 8.2.2. Market size and forecast, by region
- 8.2.3. Market share analysis by country
- 8.3. B2G
- 8.3.1. Key market trends, growth factors and opportunities
- 8.3.2. Market size and forecast, by region
- 8.3.3. Market share analysis by country
- 8.4. B2C
- 8.4.1. Key market trends, growth factors and opportunities
- 8.4.2. Market size and forecast, by region
- 8.4.3. Market share analysis by country
- CHAPTER 9: ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY REGION
- 9.1. Overview
- 9.1.1. Market size and forecast By Region
- 9.2. North America
- 9.2.1. Key market trends, growth factors and opportunities
- 9.2.2. Market size and forecast, by Component
- 9.2.3. Market size and forecast, by Deployment
- 9.2.4. Market size and forecast, by Industry Vertical
- 9.2.5. Market size and forecast, by Application
- 9.2.6. Market size and forecast, by End User
- 9.2.7. Market size and forecast, by country
- 9.2.7.1. U.S.
- 9.2.7.1.1. Market size and forecast, by Component
- 9.2.7.1.2. Market size and forecast, by Deployment
- 9.2.7.1.3. Market size and forecast, by Industry Vertical
- 9.2.7.1.4. Market size and forecast, by Application
- 9.2.7.1.5. Market size and forecast, by End User
- 9.2.7.2. Canada
- 9.2.7.2.1. Market size and forecast, by Component
- 9.2.7.2.2. Market size and forecast, by Deployment
- 9.2.7.2.3. Market size and forecast, by Industry Vertical
- 9.2.7.2.4. Market size and forecast, by Application
- 9.2.7.2.5. Market size and forecast, by End User
- 9.3. Europe
- 9.3.1. Key market trends, growth factors and opportunities
- 9.3.2. Market size and forecast, by Component
- 9.3.3. Market size and forecast, by Deployment
- 9.3.4. Market size and forecast, by Industry Vertical
- 9.3.5. Market size and forecast, by Application
- 9.3.6. Market size and forecast, by End User
- 9.3.7. Market size and forecast, by country
- 9.3.7.1. France
- 9.3.7.1.1. Market size and forecast, by Component
- 9.3.7.1.2. Market size and forecast, by Deployment
- 9.3.7.1.3. Market size and forecast, by Industry Vertical
- 9.3.7.1.4. Market size and forecast, by Application
- 9.3.7.1.5. Market size and forecast, by End User
- 9.3.7.2. Germany
- 9.3.7.2.1. Market size and forecast, by Component
- 9.3.7.2.2. Market size and forecast, by Deployment
- 9.3.7.2.3. Market size and forecast, by Industry Vertical
- 9.3.7.2.4. Market size and forecast, by Application
- 9.3.7.2.5. Market size and forecast, by End User
- 9.3.7.3. Italy
- 9.3.7.3.1. Market size and forecast, by Component
- 9.3.7.3.2. Market size and forecast, by Deployment
- 9.3.7.3.3. Market size and forecast, by Industry Vertical
- 9.3.7.3.4. Market size and forecast, by Application
- 9.3.7.3.5. Market size and forecast, by End User
- 9.3.7.4. Spain
- 9.3.7.4.1. Market size and forecast, by Component
- 9.3.7.4.2. Market size and forecast, by Deployment
- 9.3.7.4.3. Market size and forecast, by Industry Vertical
- 9.3.7.4.4. Market size and forecast, by Application
- 9.3.7.4.5. Market size and forecast, by End User
- 9.3.7.5. UK
- 9.3.7.5.1. Market size and forecast, by Component
- 9.3.7.5.2. Market size and forecast, by Deployment
- 9.3.7.5.3. Market size and forecast, by Industry Vertical
- 9.3.7.5.4. Market size and forecast, by Application
- 9.3.7.5.5. Market size and forecast, by End User
- 9.3.7.6. Russia
- 9.3.7.6.1. Market size and forecast, by Component
- 9.3.7.6.2. Market size and forecast, by Deployment
- 9.3.7.6.3. Market size and forecast, by Industry Vertical
- 9.3.7.6.4. Market size and forecast, by Application
- 9.3.7.6.5. Market size and forecast, by End User
- 9.3.7.7. Rest of Europe
- 9.3.7.7.1. Market size and forecast, by Component
- 9.3.7.7.2. Market size and forecast, by Deployment
- 9.3.7.7.3. Market size and forecast, by Industry Vertical
- 9.3.7.7.4. Market size and forecast, by Application
- 9.3.7.7.5. Market size and forecast, by End User
- 9.4. Asia-Pacific
- 9.4.1. Key market trends, growth factors and opportunities
- 9.4.2. Market size and forecast, by Component
- 9.4.3. Market size and forecast, by Deployment
- 9.4.4. Market size and forecast, by Industry Vertical
- 9.4.5. Market size and forecast, by Application
- 9.4.6. Market size and forecast, by End User
- 9.4.7. Market size and forecast, by country
- 9.4.7.1. China
- 9.4.7.1.1. Market size and forecast, by Component
- 9.4.7.1.2. Market size and forecast, by Deployment
- 9.4.7.1.3. Market size and forecast, by Industry Vertical
- 9.4.7.1.4. Market size and forecast, by Application
- 9.4.7.1.5. Market size and forecast, by End User
- 9.4.7.2. Japan
- 9.4.7.2.1. Market size and forecast, by Component
- 9.4.7.2.2. Market size and forecast, by Deployment
- 9.4.7.2.3. Market size and forecast, by Industry Vertical
- 9.4.7.2.4. Market size and forecast, by Application
- 9.4.7.2.5. Market size and forecast, by End User
- 9.4.7.3. India
- 9.4.7.3.1. Market size and forecast, by Component
- 9.4.7.3.2. Market size and forecast, by Deployment
- 9.4.7.3.3. Market size and forecast, by Industry Vertical
- 9.4.7.3.4. Market size and forecast, by Application
- 9.4.7.3.5. Market size and forecast, by End User
- 9.4.7.4. South Korea
- 9.4.7.4.1. Market size and forecast, by Component
- 9.4.7.4.2. Market size and forecast, by Deployment
- 9.4.7.4.3. Market size and forecast, by Industry Vertical
- 9.4.7.4.4. Market size and forecast, by Application
- 9.4.7.4.5. Market size and forecast, by End User
- 9.4.7.5. Australia
- 9.4.7.5.1. Market size and forecast, by Component
- 9.4.7.5.2. Market size and forecast, by Deployment
- 9.4.7.5.3. Market size and forecast, by Industry Vertical
- 9.4.7.5.4. Market size and forecast, by Application
- 9.4.7.5.5. Market size and forecast, by End User
- 9.4.7.6. Southeast Asia
- 9.4.7.6.1. Market size and forecast, by Component
- 9.4.7.6.2. Market size and forecast, by Deployment
- 9.4.7.6.3. Market size and forecast, by Industry Vertical
- 9.4.7.6.4. Market size and forecast, by Application
- 9.4.7.6.5. Market size and forecast, by End User
- 9.4.7.7. Rest of Asia-Pacific
- 9.4.7.7.1. Market size and forecast, by Component
- 9.4.7.7.2. Market size and forecast, by Deployment
- 9.4.7.7.3. Market size and forecast, by Industry Vertical
- 9.4.7.7.4. Market size and forecast, by Application
- 9.4.7.7.5. Market size and forecast, by End User
- 9.5. LAMEA
- 9.5.1. Key market trends, growth factors and opportunities
- 9.5.2. Market size and forecast, by Component
- 9.5.3. Market size and forecast, by Deployment
- 9.5.4. Market size and forecast, by Industry Vertical
- 9.5.5. Market size and forecast, by Application
- 9.5.6. Market size and forecast, by End User
- 9.5.7. Market size and forecast, by country
- 9.5.7.1. Latin America
- 9.5.7.1.1. Market size and forecast, by Component
- 9.5.7.1.2. Market size and forecast, by Deployment
- 9.5.7.1.3. Market size and forecast, by Industry Vertical
- 9.5.7.1.4. Market size and forecast, by Application
- 9.5.7.1.5. Market size and forecast, by End User
- 9.5.7.2. Turkey
- 9.5.7.2.1. Market size and forecast, by Component
- 9.5.7.2.2. Market size and forecast, by Deployment
- 9.5.7.2.3. Market size and forecast, by Industry Vertical
- 9.5.7.2.4. Market size and forecast, by Application
- 9.5.7.2.5. Market size and forecast, by End User
- 9.5.7.3. Middle East
- 9.5.7.3.1. Market size and forecast, by Component
- 9.5.7.3.2. Market size and forecast, by Deployment
- 9.5.7.3.3. Market size and forecast, by Industry Vertical
- 9.5.7.3.4. Market size and forecast, by Application
- 9.5.7.3.5. Market size and forecast, by End User
- 9.5.7.4. Africa
- 9.5.7.4.1. Market size and forecast, by Component
- 9.5.7.4.2. Market size and forecast, by Deployment
- 9.5.7.4.3. Market size and forecast, by Industry Vertical
- 9.5.7.4.4. Market size and forecast, by Application
- 9.5.7.4.5. Market size and forecast, by End User
- CHAPTER 10: COMPETITIVE LANDSCAPE
- 10.1. Introduction
- 10.2. Top winning strategies
- 10.3. Product mapping of top 10 player
- 10.4. Competitive dashboard
- 10.5. Competitive heatmap
- 10.6. Top player positioning, 2023
- CHAPTER 11: COMPANY PROFILES
- 11.1. Microsoft Corporation
- 11.1.1. Company overview
- 11.1.2. Key executives
- 11.1.3. Company snapshot
- 11.1.4. Operating business segments
- 11.1.5. Product portfolio
- 11.1.6. Business performance
- 11.1.7. Key strategic moves and developments
- 11.2. SAP SE
- 11.2.1. Company overview
- 11.2.2. Key executives
- 11.2.3. Company snapshot
- 11.2.4. Operating business segments
- 11.2.5. Product portfolio
- 11.2.6. Business performance
- 11.2.7. Key strategic moves and developments
- 11.3. Amazon Web Services, Inc.
- 11.3.1. Company overview
- 11.3.2. Key executives
- 11.3.3. Company snapshot
- 11.3.4. Operating business segments
- 11.3.5. Product portfolio
- 11.3.6. Business performance
- 11.3.7. Key strategic moves and developments
- 11.4. Alphabet (Google Inc.)
- 11.4.1. Company overview
- 11.4.2. Key executives
- 11.4.3. Company snapshot
- 11.4.4. Operating business segments
- 11.4.5. Product portfolio
- 11.4.6. Business performance
- 11.4.7. Key strategic moves and developments
- 11.5. GE Vernova
- 11.5.1. Company overview
- 11.5.2. Key executives
- 11.5.3. Company snapshot
- 11.5.4. Operating business segments
- 11.5.5. Product portfolio
- 11.5.6. Business performance
- 11.5.7. Key strategic moves and developments
- 11.6. Bosch.IO GmbH
- 11.6.1. Company overview
- 11.6.2. Key executives
- 11.6.3. Company snapshot
- 11.6.4. Operating business segments
- 11.6.5. Product portfolio
- 11.6.6. Business performance
- 11.6.7. Key strategic moves and developments
- 11.7. Hitachi, Ltd.
- 11.7.1. Company overview
- 11.7.2. Key executives
- 11.7.3. Company snapshot
- 11.7.4. Operating business segments
- 11.7.5. Product portfolio
- 11.7.6. Business performance
- 11.7.7. Key strategic moves and developments
- 11.8. Terminus Group
- 11.8.1. Company overview
- 11.8.2. Key executives
- 11.8.3. Company snapshot
- 11.8.4. Operating business segments
- 11.8.5. Product portfolio
- 11.9. Falkonry Inc
- 11.9.1. Company overview
- 11.9.2. Key executives
- 11.9.3. Company snapshot
- 11.9.4. Operating business segments
- 11.9.5. Product portfolio
- 11.10. Williot
- 11.10.1. Company overview
- 11.10.2. Key executives
- 11.10.3. Company snapshot
- 11.10.4. Operating business segments
- 11.10.5. Product portfolio
- 11.10.6. Key strategic moves and developments
- 11.11. International Business Machines Corporation
- 11.11.1. Company overview
- 11.11.2. Key executives
- 11.11.3. Company snapshot
- 11.11.4. Operating business segments
- 11.11.5. Product portfolio
- 11.11.6. Business performance
- 11.11.7. Key strategic moves and developments
- 11.12. Siemens AG
- 11.12.1. Company overview
- 11.12.2. Key executives
- 11.12.3. Company snapshot
- 11.12.4. Operating business segments
- 11.12.5. Product portfolio
- 11.12.6. Business performance
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