
North America Artificial Intelligence of Things (AIoT) Market Size, Share & Trends Analysis Report By Deployment (Cloud and On-Premises), By Component (Hardware, Software, and Services), By End use, By Application, By Vertical, By Country and Growth Forec
Description
The North America Artificial Intelligence of Things (AIoT) Market would witness market growth of 26.1% CAGR during the forecast period (2024-2031).
The US market dominated the North America Artificial Intelligence of Things (AIoT) Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $25,787.7 million by 2031. The Canada market is expected to witness a CAGR of 28.6% during (2024 - 2031). Additionally, The Mexico market would register a CAGR of 27.7% during (2024 - 2031).
Artificial Intelligence of Things (AIoT) refers to the integration of Artificial Intelligence (AI) with the Internet of Things (IoT) to create intelligent, interconnected systems that can analyze data, make decisions, and perform actions autonomously. By combining IoT's capability to collect and transmit data through connected devices with AI's power to process, analyze, and learn from that data, AIoT enables smarter, more efficient, and highly automated solutions across a wide range of applications. As a result, AIoT is driving innovation and efficiency across various sectors, including healthcare, manufacturing, transportation, retail, energy, and smart cities, making it one of the most promising technology markets today.
AIoT transforms this data into actionable insights, enabling businesses to optimize operations, reduce costs, and improve decision-making. For instance, in industrial environments, the integration of AIoT facilitates real-time monitoring of equipment, enables the prediction of potential malfunctions prior to their occurrence, and automates maintenance schedules. This significantly diminishes downtime and enhances overall productivity.
The Canadian government has supported AIoT growth through initiatives such as the Pan-Canadian Artificial Intelligence Strategy, which fosters innovation and research in AI technologies. According to Statistics Canada, the finance and insurance industry has emerged as one of the fastest adopters of AI technologies, with strong implications for the market. Among businesses in finance and insurance utilizing AI (10.9%), nearly 66.8% reported using virtual agents or chatbots, while 34.2% employed AI-driven data analytics. These numbers highlight how AIoT technologies, which combine AI-powered decision-making with IoT-enabled data collection, are transforming traditional industries by improving efficiency, enhancing customer interactions, and enabling smarter, real-time operational strategies. Thus, the region will present lucrative growth opportunities for the market throughout the forecast period.
Based on Deployment, the market is segmented into Cloud and On-Premises. Based on Component, the market is segmented into Hardware, Software, and Services. Based on End use, the market is segmented into B2B, B2G, and B2C. Based on Application, the market is segmented into Video Surveillance, Supply Chain Management, Inventory Management, Predictive Maintenance, and Other Application. Based on Vertical, the market is segmented into Manufacturing, Automotive, Healthcare, Retail, BFSI, Logistics, and Agriculture & Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
List of Key Companies Profiled
By Deployment
The US market dominated the North America Artificial Intelligence of Things (AIoT) Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $25,787.7 million by 2031. The Canada market is expected to witness a CAGR of 28.6% during (2024 - 2031). Additionally, The Mexico market would register a CAGR of 27.7% during (2024 - 2031).
Artificial Intelligence of Things (AIoT) refers to the integration of Artificial Intelligence (AI) with the Internet of Things (IoT) to create intelligent, interconnected systems that can analyze data, make decisions, and perform actions autonomously. By combining IoT's capability to collect and transmit data through connected devices with AI's power to process, analyze, and learn from that data, AIoT enables smarter, more efficient, and highly automated solutions across a wide range of applications. As a result, AIoT is driving innovation and efficiency across various sectors, including healthcare, manufacturing, transportation, retail, energy, and smart cities, making it one of the most promising technology markets today.
AIoT transforms this data into actionable insights, enabling businesses to optimize operations, reduce costs, and improve decision-making. For instance, in industrial environments, the integration of AIoT facilitates real-time monitoring of equipment, enables the prediction of potential malfunctions prior to their occurrence, and automates maintenance schedules. This significantly diminishes downtime and enhances overall productivity.
The Canadian government has supported AIoT growth through initiatives such as the Pan-Canadian Artificial Intelligence Strategy, which fosters innovation and research in AI technologies. According to Statistics Canada, the finance and insurance industry has emerged as one of the fastest adopters of AI technologies, with strong implications for the market. Among businesses in finance and insurance utilizing AI (10.9%), nearly 66.8% reported using virtual agents or chatbots, while 34.2% employed AI-driven data analytics. These numbers highlight how AIoT technologies, which combine AI-powered decision-making with IoT-enabled data collection, are transforming traditional industries by improving efficiency, enhancing customer interactions, and enabling smarter, real-time operational strategies. Thus, the region will present lucrative growth opportunities for the market throughout the forecast period.
Based on Deployment, the market is segmented into Cloud and On-Premises. Based on Component, the market is segmented into Hardware, Software, and Services. Based on End use, the market is segmented into B2B, B2G, and B2C. Based on Application, the market is segmented into Video Surveillance, Supply Chain Management, Inventory Management, Predictive Maintenance, and Other Application. Based on Vertical, the market is segmented into Manufacturing, Automotive, Healthcare, Retail, BFSI, Logistics, and Agriculture & Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
List of Key Companies Profiled
- Google LLC (Alphabet Inc.)
- IBM Corporation
- Oracle Corporation
- Salesforce, Inc.
- SAS Institute Inc.
- Microsoft Corporation
- PTC Inc.
- SAP SE
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- GE Vernova Group
By Deployment
- Cloud
- On-Premises
- Hardware
- Software
- Services
- B2B
- B2G
- B2C
- Video Surveillance
- Supply Chain Management
- Inventory Management
- Predictive Maintenance
- Other Application
- Manufacturing
- Automotive
- Healthcare
- Retail
- BFSI
- Logistics
- Agriculture & Others
- US
- Canada
- Mexico
- Rest of North America
Table of Contents
160 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 North America Artificial Intelligence of Things (AIoT) Market, by Deployment
- 1.4.2 North America Artificial Intelligence of Things (AIoT) Market, by Component
- 1.4.3 North America Artificial Intelligence of Things (AIoT) Market, by End use
- 1.4.4 North America Artificial Intelligence of Things (AIoT) Market, by Application
- 1.4.5 North America Artificial Intelligence of Things (AIoT) Market, by Vertical
- 1.4.6 North America Artificial Intelligence of Things (AIoT) Market, by Country
- 1.5 Methodology for the research
- Chapter 2. Market at a Glance
- 2.1 Key Highlights
- Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
- 3.2.3 Market Opportunities
- 3.2.4 Market Challenges
- Chapter 4. Competition Analysis - Global
- 4.1 KBV Cardinal Matrix
- 4.2 Recent Industry Wide Strategic Developments
- 4.2.1 Partnerships, Collaborations and Agreements
- 4.2.2 Product Launches and Product Expansions
- 4.2.3 Acquisition and Mergers
- 4.3 Market Share Analysis, 2023
- 4.4 Top Winning Strategies
- 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2025)
- 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2022-, May – 2025, Jan) Leading Players
- 4.5 Porter Five Forces Analysis
- Chapter 5. North America Artificial Intelligence of Things (AIoT) Market by Deployment
- 5.1 North America Cloud Market by Region
- 5.2 North America On-Premises Market by Region
- Chapter 6. North America Artificial Intelligence of Things (AIoT) Market by Component
- 6.1 North America Hardware Market by Country
- 6.2 North America Software Market by Country
- 6.3 North America Services Market by Country
- Chapter 7. North America Artificial Intelligence of Things (AIoT) Market by End use
- 7.1 North America B2B Market by Country
- 7.2 North America B2G Market by Country
- 7.3 North America B2C Market by Country
- Chapter 8. North America Artificial Intelligence of Things (AIoT) Market by Application
- 8.1 North America Video Surveillance Market by Country
- 8.2 North America Supply Chain Management Market by Country
- 8.3 North America Inventory Management Market by Country
- 8.4 North America Predictive Maintenance Market by Country
- 8.5 North America Other Application Market by Country
- Chapter 9. North America Artificial Intelligence of Things (AIoT) Market by Vertical
- 9.1 North America Manufacturing Market by Country
- 9.2 North America Automotive Market by Country
- 9.3 North America Healthcare Market by Country
- 9.4 North America Retail Market by Country
- 9.5 North America BFSI Market by Country
- 9.6 North America Logistics Market by Country
- 9.7 North America Agriculture & Others Market by Country
- Chapter 10. North America Artificial Intelligence of Things (AIoT) Market by Country
- 10.1 US Artificial Intelligence of Things (AIoT) Market
- 10.1.1 US Artificial Intelligence of Things (AIoT) Market by Deployment
- 10.1.2 US Artificial Intelligence of Things (AIoT) Market by Component
- 10.1.3 US Artificial Intelligence of Things (AIoT) Market by End use
- 10.1.4 US Artificial Intelligence of Things (AIoT) Market by Application
- 10.1.5 US Artificial Intelligence of Things (AIoT) Market by Vertical
- 10.2 Canada Artificial Intelligence of Things (AIoT) Market
- 10.2.1 Canada Artificial Intelligence of Things (AIoT) Market by Deployment
- 10.2.2 Canada Artificial Intelligence of Things (AIoT) Market by Component
- 10.2.3 Canada Artificial Intelligence of Things (AIoT) Market by End use
- 10.2.4 Canada Artificial Intelligence of Things (AIoT) Market by Application
- 10.2.5 Canada Artificial Intelligence of Things (AIoT) Market by Vertical
- 10.3 Mexico Artificial Intelligence of Things (AIoT) Market
- 10.3.1 Mexico Artificial Intelligence of Things (AIoT) Market by Deployment
- 10.3.2 Mexico Artificial Intelligence of Things (AIoT) Market by Component
- 10.3.3 Mexico Artificial Intelligence of Things (AIoT) Market by End use
- 10.3.4 Mexico Artificial Intelligence of Things (AIoT) Market by Application
- 10.3.5 Mexico Artificial Intelligence of Things (AIoT) Market by Vertical
- 10.4 Rest of North America Artificial Intelligence of Things (AIoT) Market
- 10.4.1 Rest of North America Artificial Intelligence of Things (AIoT) Market by Deployment
- 10.4.2 Rest of North America Artificial Intelligence of Things (AIoT) Market by Component
- 10.4.3 Rest of North America Artificial Intelligence of Things (AIoT) Market by End use
- 10.4.4 Rest of North America Artificial Intelligence of Things (AIoT) Market by Application
- 10.4.5 Rest of North America Artificial Intelligence of Things (AIoT) Market by Vertical
- Chapter 11. Company Profiles
- 11.1 Google LLC (Alphabet Inc.)
- 11.1.1 Company Overview
- 11.1.2 Financial Analysis
- 11.1.3 Segmental and Regional Analysis
- 11.1.4 Research & Development Expense
- 11.1.5 Recent strategies and developments:
- 11.1.5.1 Partnerships, Collaborations, and Agreements:
- 11.1.6 SWOT Analysis
- 11.2 IBM Corporation
- 11.2.1 Company Overview
- 11.2.2 Financial Analysis
- 11.2.3 Regional & Segmental Analysis
- 11.2.4 Research & Development Expenses
- 11.2.5 Recent strategies and developments:
- 11.2.5.1 Partnerships, Collaborations, and Agreements:
- 11.2.5.2 Acquisition and Mergers:
- 11.2.6 SWOT Analysis
- 11.3 Oracle Corporation
- 11.3.1 Company Overview
- 11.3.2 Financial Analysis
- 11.3.3 Segmental and Regional Analysis
- 11.3.4 Research & Development Expense
- 11.3.5 Recent strategies and developments:
- 11.3.5.1 Partnerships, Collaborations, and Agreements:
- 11.3.5.2 Product Launches and Product Expansions:
- 11.3.6 SWOT Analysis
- 11.4 Salesforce, Inc.
- 11.4.1 Company Overview
- 11.4.2 Financial Analysis
- 11.4.3 Regional Analysis
- 11.4.4 Research & Development Expenses
- 11.4.5 Recent strategies and developments:
- 11.4.5.1 Partnerships, Collaborations, and Agreements:
- 11.4.6 SWOT Analysis
- 11.5 SAS Institute, Inc.
- 11.5.1 Company Overview
- 11.5.2 Recent strategies and developments:
- 11.5.2.1 Partnerships, Collaborations, and Agreements:
- 11.5.3 SWOT Analysis
- 11.6 Microsoft Corporation
- 11.6.1 Company Overview
- 11.6.2 Financial Analysis
- 11.6.3 Segmental and Regional Analysis
- 11.6.4 Research & Development Expenses
- 11.6.5 Recent strategies and developments:
- 11.6.5.1 Partnerships, Collaborations, and Agreements:
- 11.6.6 SWOT Analysis
- 11.7 PTC, Inc.
- 11.7.1 Company Overview
- 11.7.2 Financial Analysis
- 11.7.3 Regional Analysis
- 11.7.4 Research & Development Expenses
- 11.7.5 Recent strategies and developments:
- 11.7.5.1 Partnerships, Collaborations, and Agreements:
- 11.7.6 SWOT Analysis
- 11.8 SAP SE
- 11.8.1 Company Overview
- 11.8.2 Financial Analysis
- 11.8.3 Regional Analysis
- 11.8.4 Research & Development Expense
- 11.8.5 Recent strategies and developments:
- 11.8.5.1 Partnerships, Collaborations, and Agreements:
- 11.8.6 SWOT Analysis
- 11.9 Amazon Web Services, Inc. (Amazon.com, Inc.)
- 11.9.1 Company Overview
- 11.9.2 Financial Analysis
- 11.9.3 Segmental Analysis
- 11.9.4 SWOT Analysis
- 11.10. GE Vernova Group
- 11.10.1 Company Overview
- 11.10.2 SWOT Analysis
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