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North America AI in Tourism Market Size, Share & Trends Analysis Report By Offering (Solution, and Services), By End Use, By Country and Growth Forecast, 2025 - 2032

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    Report

  • 107 Pages
  • April 2025
  • Region: North America
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6077279
The North America AI in Tourism Market is expected to witness market growth of 25.5% CAGR during the forecast period (2025-2032).

The US market dominated the North America AI in Tourism Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $4.84 billion by 2032. The Canada market is experiencing a CAGR of 27.8% during 2025-2032. Additionally, the Mexico market is expected to exhibit a CAGR of 26.6% during 2025-2032.



The tourism industry, one of the most vibrant sectors in the economy, has seen significant transformation over the past few years, largely driven by technological advancements. In 2022, domestic visitor expenditure rose by 20.4%. In 2022, spending by foreign visitors increased by 81.9%. Artificial Intelligence (AI), in particular, has emerged as a game-changer, reshaping how businesses interact with customers, streamline operations, and deliver personalized experiences.

AI in tourism market is revolutionizing various aspects, from customer service to operational efficiencies, providing deeper insights into traveller behaviour and creating smarter destinations. AI’s adoption in the tourism sector can be observed in several applications that have begun to enhance the overall travel experience, improve business operations, and drive economic growth within the industry.

North America’s tourism landscape is undergoing a transformative shift driven by economic resilience, cross-border travel, and increasing reliance on technology. As the region witnesses a surge in domestic and international tourism, AI is central to how the industry operates - enhancing traveller experiences, streamlining operations, and supporting data-driven decision-making. The rising tourism activity in Canada, Mexico, and the United States is fuelling demand for smarter, more efficient systems, thereby significantly propelling the market's growth across the continent. In British Columbia, tourism saw remarkable growth in 2023, with $22.1 billion in revenue, a 12.4% increase from 2022, and $9.7 billion contribution to GDP, up 9.6%. With 16,860 tourism businesses in operation, the sector is expanding and embracing innovation to cater to growing traveller demands. AI is increasingly deployed in Canada to power virtual travel agents, automate customer service, and provide real-time insights into traveller behaviour. As tourism revenue climbs, these businesses' financial capability and incentive to invest in AI-powered tools grow, stimulating significant advancements in the market. In conclusion, growing tourism in Canada, Mexico, and the USA drives AI adoption across the tourism sector - enhancing service delivery, managing visitor volumes, and improving overall travel experiences.

List of Key Companies Profiled

  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • IBM Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Microsoft Corporation
  • NVIDIA Corporation
  • Sabre Corporation
  • SAS Institute Inc.
  • Snowflake Inc.
  • Salesforce, Inc.
  • OpenAI, LLC

Market Report Segmentation

By Offering

  • Solution
  • Services

By End Use

  • Transportation & Mobility Services
  • Travel Technology Platforms & Solution Providers
  • Accommodation & Hospitality Providers
  • Tourism Experience & Attraction Operators

By Country

  • US
  • Canada
  • Mexico
  • Rest of North America

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America AI in Tourism Market, by Offering
1.4.2 North America AI in Tourism Market, by End Use
1.4.3 North America AI in Tourism 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 Market Share Analysis, 2024
4.2 Strategies Deployed in AI in Tourism Market
4.3 Porter Five Forces Analysis
Chapter 5. North America AI in Tourism Market by Offering
5.1 North America Solution Market by Region
5.2 North America Services Market by Region
Chapter 6. North America AI in Tourism Market by End Use
6.1 North America Transportation & Mobility Services Market by Country
6.2 North America Travel Technology Platforms & Solution Providers Market by Country
6.3 North America Accommodation & Hospitality Providers Market by Country
6.4 North America Tourism Experience & Attraction Operators Market by Country
Chapter 7. North America AI in Tourism Market by Country
7.1 US AI in Tourism Market
7.1.1 US AI in Tourism Market by Offering
7.1.2 US AI in Tourism Market by End Use
7.2 Canada AI in Tourism Market
7.2.1 Canada AI in Tourism Market by Offering
7.2.2 Canada AI in Tourism Market by End Use
7.3 Mexico AI in Tourism Market
7.3.1 Mexico AI in Tourism Market by Offering
7.3.2 Mexico AI in Tourism Market by End Use
7.4 Rest of North America AI in Tourism Market
7.4.1 Rest of North America AI in Tourism Market by Offering
7.4.2 Rest of North America AI in Tourism Market by End Use
Chapter 8. Company Profiles
8.1 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expenses
8.1.5 Recent Strategies and Developments
8.1.5.1 Partnerships, Collaborations, and Agreements
8.1.6 SWOT Analysis
8.2 IBM Corporation
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Regional & Segmental Analysis
8.2.4 Research & Development Expenses
8.2.5 Recent Strategies and Developments
8.2.5.1 Partnerships, Collaborations, and Agreements
8.2.5.2 Acquisition and Mergers
8.2.6 SWOT Analysis
8.3 Amazon Web Services, Inc. (Amazon.com, Inc.)
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Recent Strategies and Developments
8.3.4.1 Partnerships, Collaborations, and Agreements
8.3.4.2 Product Launches and Product Expansions
8.3.5 SWOT Analysis
8.4 Microsoft Corporation
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Segmental and Regional Analysis
8.4.4 Research & Development Expenses
8.4.5 SWOT Analysis
8.5 NVIDIA Corporation
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expenses
8.5.5 SWOT Analysis
8.6 Sabre Corporation
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Segmental and Regional Analysis
8.6.4 SWOT Analysis
8.7 SAS Institute, Inc.
8.7.1 Company Overview
8.7.2 SWOT Analysis
8.8 Snowflake, Inc.
8.8.1 Company Overview
8.8.2 Financial Analysis
8.8.3 Regional Analysis
8.8.4 Research & Development Expenses
8.8.5 SWOT Analysis
8.9 Salesforce, Inc.
8.9.1 Company Overview
8.9.2 Financial Analysis
8.9.3 Regional Analysis
8.9.4 Research & Development Expenses
8.9.5 SWOT Analysis
8.10. OpenAI, L.L.C.
8.10.1 Company Overview
8.10.2 SWOT Analysis

Companies Mentioned

  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • IBM Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Microsoft Corporation
  • NVIDIA Corporation
  • Sabre Corporation
  • SAS Institute Inc.
  • Snowflake Inc.
  • Salesforce, Inc.
  • OpenAI, LLC

Methodology

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