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Artificial Intelligence Of Things, By End User: Global Opportunity Analysis and Industry Forecast, 2024-2032

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    Report

  • 501 Pages
  • June 2024
  • Region: Global
  • Allied Market Research
  • ID: 5994125
The global Artificial Intelligence of Things (AIoT) market was valued at $126.1 billion in 2023, and is projected to reach $1.31 trillion 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.

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  • End user preferences and pain points
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  • Additional company profiles with specific to client's interest
  • Additional country or region analysis- market size and forecast
  • Brands Share Analysis
  • Criss-cross segment analysis- market size and forecast
  • Historic market data
  • Market share analysis of players at global/region/country level
  • SWOT Analysis

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

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
LIST OF TABLES
TABLE 01. GLOBAL ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 02. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR HARDWARE, BY REGION, 2023-2032 ($MILLION)
TABLE 03. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR SOFTWARE, BY REGION, 2023-2032 ($MILLION)
TABLE 04. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR SERVICES, BY REGION, 2023-2032 ($MILLION)
TABLE 05. GLOBAL ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 06. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR ON-PREMISE, BY REGION, 2023-2032 ($MILLION)
TABLE 07. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR CLOUD, BY REGION, 2023-2032 ($MILLION)
TABLE 08. GLOBAL ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 09. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR RETAIL, BY REGION, 2023-2032 ($MILLION)
TABLE 10. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR AGRICULTURE, BY REGION, 2023-2032 ($MILLION)
TABLE 11. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR LOGISTICS, BY REGION, 2023-2032 ($MILLION)
TABLE 12. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR BFSI, BY REGION, 2023-2032 ($MILLION)
TABLE 13. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR AUTOMOTIVE AND TRANSPORT, BY REGION, 2023-2032 ($MILLION)
TABLE 14. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR HEALTHCARE, BY REGION, 2023-2032 ($MILLION)
TABLE 15. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR MANUFACTURING, BY REGION, 2023-2032 ($MILLION)
TABLE 16. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR OTHERS, BY REGION, 2023-2032 ($MILLION)
TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 18. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR VIDEO SURVEILLANCE, BY REGION, 2023-2032 ($MILLION)
TABLE 19. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR INVENTORY MANAGEMENT, BY REGION, 2023-2032 ($MILLION)
TABLE 20. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR PREDICTIVE MAINTENANCE, BY REGION, 2023-2032 ($MILLION)
TABLE 21. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR SUPPLY CHAIN MANAGEMENT, BY REGION, 2023-2032 ($MILLION)
TABLE 22. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR OTHERS, BY REGION, 2023-2032 ($MILLION)
TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 24. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR B2B, BY REGION, 2023-2032 ($MILLION)
TABLE 25. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR B2G, BY REGION, 2023-2032 ($MILLION)
TABLE 26. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR B2C, BY REGION, 2023-2032 ($MILLION)
TABLE 27. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY REGION, 2023-2032 ($MILLION)
TABLE 28. NORTH AMERICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 29. NORTH AMERICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 30. NORTH AMERICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 31. NORTH AMERICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 32. NORTH AMERICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 33. NORTH AMERICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COUNTRY, 2023-2032 ($MILLION)
TABLE 34. U.S. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 35. U.S. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 36. U.S. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 37. U.S. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 38. U.S. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 39. CANADA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 40. CANADA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 41. CANADA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 42. CANADA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 43. CANADA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 44. EUROPE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 45. EUROPE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 46. EUROPE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 47. EUROPE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 48. EUROPE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 49. EUROPE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COUNTRY, 2023-2032 ($MILLION)
TABLE 50. FRANCE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 51. FRANCE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 52. FRANCE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 53. FRANCE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 54. FRANCE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 55. GERMANY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 56. GERMANY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 57. GERMANY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 58. GERMANY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 59. GERMANY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 60. ITALY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 61. ITALY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 62. ITALY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 63. ITALY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 64. ITALY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 65. SPAIN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 66. SPAIN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 67. SPAIN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 68. SPAIN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 69. SPAIN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 70. UK ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 71. UK ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 72. UK ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 73. UK ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 74. UK ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 75. RUSSIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 76. RUSSIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 77. RUSSIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 78. RUSSIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 79. RUSSIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 80. REST OF EUROPE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 81. REST OF EUROPE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 82. REST OF EUROPE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 83. REST OF EUROPE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 84. REST OF EUROPE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 85. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 86. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 87. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 88. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 89. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 90. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COUNTRY, 2023-2032 ($MILLION)
TABLE 91. CHINA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 92. CHINA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 93. CHINA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 94. CHINA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 95. CHINA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 96. JAPAN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 97. JAPAN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 98. JAPAN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 99. JAPAN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 100. JAPAN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 101. INDIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 102. INDIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 103. INDIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 104. INDIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 105. INDIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 106. SOUTH KOREA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 107. SOUTH KOREA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 108. SOUTH KOREA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 109. SOUTH KOREA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 110. SOUTH KOREA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 111. AUSTRALIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 112. AUSTRALIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 113. AUSTRALIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 114. AUSTRALIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 115. AUSTRALIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 116. SOUTHEAST ASIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 117. SOUTHEAST ASIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 118. SOUTHEAST ASIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 119. SOUTHEAST ASIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 120. SOUTHEAST ASIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 121. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 122. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 123. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 124. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 125. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 126. LAMEA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 127. LAMEA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 128. LAMEA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 129. LAMEA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 130. LAMEA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 131. LAMEA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COUNTRY, 2023-2032 ($MILLION)
TABLE 132. LATIN AMERICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 133. LATIN AMERICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 134. LATIN AMERICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 135. LATIN AMERICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 136. LATIN AMERICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 137. TURKEY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 138. TURKEY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 139. TURKEY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 140. TURKEY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 141. TURKEY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 142. MIDDLE EAST ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 143. MIDDLE EAST ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 144. MIDDLE EAST ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 145. MIDDLE EAST ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 146. MIDDLE EAST ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 147. AFRICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023-2032 ($MILLION)
TABLE 148. AFRICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023-2032 ($MILLION)
TABLE 149. AFRICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023-2032 ($MILLION)
TABLE 150. AFRICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023-2032 ($MILLION)
TABLE 151. AFRICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023-2032 ($MILLION)
TABLE 152. MICROSOFT CORPORATION: KEY EXECUTIVES
TABLE 153. MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 154. MICROSOFT CORPORATION: SERVICE SEGMENTS
TABLE 155. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 156. MICROSOFT CORPORATION: KEY STRATEGIES
TABLE 157. SAP SE: KEY EXECUTIVES
TABLE 158. SAP SE: COMPANY SNAPSHOT
TABLE 159. SAP SE: SERVICE SEGMENTS
TABLE 160. SAP SE: PRODUCT PORTFOLIO
TABLE 161. SAP SE: KEY STRATEGIES
TABLE 162. AMAZON WEB SERVICES, INC.: KEY EXECUTIVES
TABLE 163. AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
TABLE 164. AMAZON WEB SERVICES, INC.: SERVICE SEGMENTS
TABLE 165. AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO
TABLE 166. AMAZON WEB SERVICES, INC.: KEY STRATEGIES
TABLE 167. ALPHABET (GOOGLE INC.): KEY EXECUTIVES
TABLE 168. ALPHABET (GOOGLE INC.): COMPANY SNAPSHOT
TABLE 169. ALPHABET (GOOGLE INC.): SERVICE SEGMENTS
TABLE 170. ALPHABET (GOOGLE INC.): PRODUCT PORTFOLIO
TABLE 171. ALPHABET (GOOGLE INC.): KEY STRATEGIES
TABLE 172. GE VERNOVA: KEY EXECUTIVES
TABLE 173. GE VERNOVA: COMPANY SNAPSHOT
TABLE 174. GE VERNOVA: SERVICE SEGMENTS
TABLE 175. GE VERNOVA: PRODUCT PORTFOLIO
TABLE 176. GE VERNOVA: KEY STRATEGIES
TABLE 177. BOSCH.IO GMBH: KEY EXECUTIVES
TABLE 178. BOSCH.IO GMBH: COMPANY SNAPSHOT
TABLE 179. BOSCH.IO GMBH: SERVICE SEGMENTS
TABLE 180. BOSCH.IO GMBH: PRODUCT PORTFOLIO
TABLE 181. BOSCH.IO GMBH: KEY STRATEGIES
TABLE 182. HITACHI, LTD.: KEY EXECUTIVES
TABLE 183. HITACHI, LTD.: COMPANY SNAPSHOT
TABLE 184. HITACHI, LTD.: PRODUCT SEGMENTS
TABLE 185. HITACHI, LTD.: PRODUCT PORTFOLIO
TABLE 186. HITACHI, LTD.: KEY STRATEGIES
TABLE 187. TERMINUS GROUP: KEY EXECUTIVES
TABLE 188. TERMINUS GROUP: COMPANY SNAPSHOT
TABLE 189. TERMINUS GROUP: PRODUCT SEGMENTS
TABLE 190. TERMINUS GROUP: PRODUCT PORTFOLIO
TABLE 191. FALKONRY INC: KEY EXECUTIVES
TABLE 192. FALKONRY INC: COMPANY SNAPSHOT
TABLE 193. FALKONRY INC: PRODUCT SEGMENTS
TABLE 194. FALKONRY INC: PRODUCT PORTFOLIO
TABLE 195. WILLIOT: KEY EXECUTIVES
TABLE 196. WILLIOT: COMPANY SNAPSHOT
TABLE 197. WILLIOT: PRODUCT SEGMENTS
TABLE 198. WILLIOT: PRODUCT PORTFOLIO
TABLE 199. WILLIOT: KEY STRATEGIES
TABLE 200. INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 201. INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 202. INTERNATIONAL BUSINESS MACHINES CORPORATION: SERVICE SEGMENTS
TABLE 203. INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 204. INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY STRATEGIES
TABLE 205. SIEMENS AG: KEY EXECUTIVES
TABLE 206. SIEMENS AG: COMPANY SNAPSHOT
TABLE 207. SIEMENS AG: PRODUCT SEGMENTS
TABLE 208. SIEMENS AG: PRODUCT PORTFOLIO
LIST OF FIGURES
FIGURE 01. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032
FIGURE 02. SEGMENTATION OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET,2023-2032
FIGURE 03. TOP IMPACTING FACTORS IN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET (2023 TO 2032)
FIGURE 04. TOP INVESTMENT POCKETS IN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET (2024-2032)
FIGURE 05. LOW BARGAINING POWER OF SUPPLIERS
FIGURE 06. LOW THREAT OF NEW ENTRANTS
FIGURE 07. LOW THREAT OF SUBSTITUTES
FIGURE 08. LOW INTENSITY OF RIVALRY
FIGURE 09. LOW BARGAINING POWER OF BUYERS
FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
FIGURE 11. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY COMPONENT, 2023 AND 2032(%)
FIGURE 12. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR HARDWARE, BY COUNTRY 2023 AND 2032(%)
FIGURE 13. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR SOFTWARE, BY COUNTRY 2023 AND 2032(%)
FIGURE 14. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR SERVICES, BY COUNTRY 2023 AND 2032(%)
FIGURE 15. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY DEPLOYMENT, 2023 AND 2032(%)
FIGURE 16. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR ON-PREMISE, BY COUNTRY 2023 AND 2032(%)
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR CLOUD, BY COUNTRY 2023 AND 2032(%)
FIGURE 18. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY INDUSTRY VERTICAL, 2023 AND 2032(%)
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR RETAIL, BY COUNTRY 2023 AND 2032(%)
FIGURE 20. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR AGRICULTURE, BY COUNTRY 2023 AND 2032(%)
FIGURE 21. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR LOGISTICS, BY COUNTRY 2023 AND 2032(%)
FIGURE 22. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR BFSI, BY COUNTRY 2023 AND 2032(%)
FIGURE 23. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR AUTOMOTIVE AND TRANSPORT, BY COUNTRY 2023 AND 2032(%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR HEALTHCARE, BY COUNTRY 2023 AND 2032(%)
FIGURE 25. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR MANUFACTURING, BY COUNTRY 2023 AND 2032(%)
FIGURE 26. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR OTHERS, BY COUNTRY 2023 AND 2032(%)
FIGURE 27. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY APPLICATION, 2023 AND 2032(%)
FIGURE 28. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR VIDEO SURVEILLANCE, BY COUNTRY 2023 AND 2032(%)
FIGURE 29. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR INVENTORY MANAGEMENT, BY COUNTRY 2023 AND 2032(%)
FIGURE 30. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR PREDICTIVE MAINTENANCE, BY COUNTRY 2023 AND 2032(%)
FIGURE 31. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR SUPPLY CHAIN MANAGEMENT, BY COUNTRY 2023 AND 2032(%)
FIGURE 32. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR OTHERS, BY COUNTRY 2023 AND 2032(%)
FIGURE 33. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, BY END USER, 2023 AND 2032(%)
FIGURE 34. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR B2B, BY COUNTRY 2023 AND 2032(%)
FIGURE 35. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR B2G, BY COUNTRY 2023 AND 2032(%)
FIGURE 36. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET FOR B2C, BY COUNTRY 2023 AND 2032(%)
FIGURE 37. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET BY REGION, 2023 AND 2032(%)
FIGURE 38. U.S. ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 39. CANADA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 40. FRANCE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 41. GERMANY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 42. ITALY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 43. SPAIN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 44. UK ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 45. RUSSIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 46. REST OF EUROPE ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 47. CHINA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 48. JAPAN ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 49. INDIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 50. SOUTH KOREA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 51. AUSTRALIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 52. SOUTHEAST ASIA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 53. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 54. LATIN AMERICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 55. TURKEY ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 56. MIDDLE EAST ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 57. AFRICA ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET, 2023-2032 ($MILLION)
FIGURE 58. TOP WINNING STRATEGIES, BY YEAR (2021-2024)
FIGURE 59. TOP WINNING STRATEGIES, BY DEVELOPMENT (2021-2024)
FIGURE 60. TOP WINNING STRATEGIES, BY COMPANY (2021-2024)
FIGURE 61. PRODUCT MAPPING OF TOP 10 PLAYERS
FIGURE 62. COMPETITIVE DASHBOARD
FIGURE 63. COMPETITIVE HEATMAP: ARTIFICIAL INTELLIGENCE OF THINGS (AIOT) MARKET
FIGURE 64. TOP PLAYER POSITIONING, 2023
FIGURE 65. MICROSOFT CORPORATION: NET REVENUE, 2021-2023 ($MILLION)
FIGURE 66. MICROSOFT CORPORATION: RESEARCH & DEVELOPMENT EXPENDITURE, 2021-2023 ($MILLION)
FIGURE 67. MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2023 (%)
FIGURE 68. MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2023 (%)
FIGURE 69. SAP SE: NET REVENUE, 2021-2023 ($MILLION)
FIGURE 70. SAP SE: RESEARCH & DEVELOPMENT EXPENDITURE, 2021-2023 ($MILLION)
FIGURE 71. SAP SE: REVENUE SHARE BY SEGMENT, 2023 (%)
FIGURE 72. SAP SE: REVENUE SHARE BY REGION, 2023 (%)
FIGURE 73. AMAZON WEB SERVICES, INC.: NET REVENUE, 2021-2023 ($MILLION)
FIGURE 74. AMAZON WEB SERVICES, INC.: REVENUE SHARE BY SEGMENT, 2022 (%)
FIGURE 75. AMAZON WEB SERVICES, INC.: REVENUE SHARE BY REGION, 2022 (%)
FIGURE 76. ALPHABET (GOOGLE INC.): NET REVENUE, 2021-2023 ($MILLION)
FIGURE 77. ALPHABET (GOOGLE INC.): REVENUE SHARE BY REGION, 2023 (%)
FIGURE 78. ALPHABET (GOOGLE INC.): REVENUE SHARE BY SEGMENT, 2023 (%)
FIGURE 79. GE VERNOVA: NET REVENUE, 2021-2023 ($MILLION)
FIGURE 80. GE VERNOVA: RESEARCH & DEVELOPMENT EXPENDITURE, 2021-2023 ($MILLION)
FIGURE 81. GE VERNOVA: REVENUE SHARE BY SEGMENT, 2023 (%)
FIGURE 82. GE VERNOVA: REVENUE SHARE BY REGION, 2023 (%)
FIGURE 83. BOSCH.IO GMBH: RESEARCH & DEVELOPMENT EXPENDITURE, 2021-2023 ($MILLION)
FIGURE 84. BOSCH.IO GMBH: NET REVENUE, 2021-2023 ($MILLION)
FIGURE 85. BOSCH.IO GMBH: REVENUE SHARE BY REGION, 2023 (%)
FIGURE 86. HITACHI, LTD.: NET REVENUE, 2021-2023 ($MILLION)
FIGURE 87. HITACHI, LTD.: REVENUE SHARE BY REGION, 2023 (%)
FIGURE 88. INTERNATIONAL BUSINESS MACHINES CORPORATION: NET REVENUE, 2021-2023 ($MILLION)
FIGURE 89. INTERNATIONAL BUSINESS MACHINES CORPORATION: RESEARCH & DEVELOPMENT EXPENDITURE, 2021-2023 ($MILLION
FIGURE 90. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2023 (%)
FIGURE 91. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2023 (%)
FIGURE 92. SIEMENS AG: NET REVENUE, 2021-2023 ($MILLION)
FIGURE 93. SIEMENS AG: REVENUE SHARE BY SEGMENT, 2023 (%)
FIGURE 94. SIEMENS AG: REVENUE SHARE BY REGION, 2023 (%)

Companies Mentioned

  • 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

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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