관광 분야 AI 시장 : 규모, 점유율, 동향 분석 보고서 : 제공 제품별, 최종 용도별, 지역별, 전망 및 예측(2025-2032년)

The Global AI in Tourism Market size is expected to reach $20.70 billion by 2032, rising at a market growth of 26.3% CAGR during the forecast period.

The North America segment recorded 37% revenue share in the market in 2024. This growth can be attributed to the strong presence of advanced technological infrastructure, widespread adoption of AI across industries, and a well-established regional tourism sector. Major players in the travel and hospitality industry across the U.S. and Canada have been actively leveraging AI to enhance customer experience, optimize pricing strategies, and streamline operations.

The increasing desire for personalized travel experiences is one of the primary drivers of the market. Consumers today seek more customized and unique experiences, moving away from standard packages and mass tourism. AI technology is crucial in responding to this demand, enabling tourism companies to offer tailored travel recommendations, accommodations, and itineraries based on individual preferences and historical data. Therefore, the rising demand for personalized travel experiences propels the market's growth.

Additionally, Rising investments in AI research and development (R&D) within the tourism industry drive the rapid adoption of AI technologies across diverse travel and tourism sector segments. With significant funding flowing into AI-driven innovations, there has been a surge in the development of AI-based solutions designed to enhance operational efficiency, optimize customer experiences, and offer predictive insights. Thus, increased investments in AI research and tourism development are propelling the market's growth.

However, One of the significant restraints in AI adoption within the tourism sector is the high initial investment and development costs associated with integrating AI technologies. While AI offers substantial benefits, including operational efficiencies, personalized experiences, and improved customer service, the costs of implementing AI systems can be prohibitive for small and medium-sized businesses. Thus, high initial investment and development costs for AI integration in tourism are hindering market growth.

Offering Outlook

Based on offering, the market is characterized into solution and services. The services segment procured 37% revenue share in the market in 2024. This segment includes consulting, integration, and support services that help organizations implement and optimize AI technologies within their operations. With increasing awareness of AI's benefits, tourism businesses are seeking expert guidance to integrate AI into legacy systems, ensure scalability, and maintain smooth operations.

End Use Outlook

On the basis of end use, the market is classified into transportation & mobility services, travel technology platforms & solution providers, accommodation & hospitality providers, and tourism experience & attraction operators. The travel technology platforms & solution providers segment recorded 27% revenue share in the market in 2024. This segment includes companies that develop and deliver digital platforms, software solutions, and AI-driven tools that support tourism businesses in managing bookings, customer engagement, data analytics, and personalization. The growing reliance on cloud-based platforms and intelligent software by travel agencies, tour operators, and online travel aggregators has fuelled demand for AI-powered solutions.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Europe segment witnessed 29% revenue share in the market in 2024. Countries across the region have been increasingly integrating AI technologies into their tourism services to attract more international visitors and improve service efficiency. Implementing AI-driven tools such as virtual travel assistants, smart recommendations, and multilingual customer support has improved tourist travel experiences.

Recent Strategies Deployed in the Market

• Apr-2025: IBM Corporation acquired Hakkoda Inc., enhancing its AI and data consultancy services. This move strengthens IBM's ability to help clients with AI-powered business operations, potentially benefiting industries like tourism through improved data utilization and AI-driven innovations.
• Mar-2025: Amazon Web Services, Inc. has launched Alexa+, a generative AI-powered digital assistant designed to enhance travel experiences. With integrations from partners like Tripadvisor and Uber, Alexa+ allows users to book rides, make reservations, and receive travel recommendations, marking a significant innovation in the AI-driven tourism market.
• Mar-2025: Amazon Web Services, Inc. and Accor has partnered to introduce an AI-powered travel assistant. This collaboration aims to enhance personalized travel experiences, streamline bookings, and support guests throughout their journey, leveraging AWS's AI capabilities to cater to multimodal travelers.
• Mar-2025: Huawei Technologies Co., Ltd. came into partnership with Melia Hotels International to launch an AI-driven Smart Hotel Showcase, integrating AI, IoT, and smart connectivity to enhance guest experiences, boost operational efficiency, and support sustainability in the evolving AI in Tourism Market.
• Oct-2024: Huawei partnered with Talaat Moustafa Group (TMG) to launch AI-powered cloud services in Egypt, supporting smart city development through NOOR Cloud. This collaboration enhances digital infrastructure, enabling smart tourism, real-time data analytics, and advanced urban experiences within the AI in Tourism Market.

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

Global AI in Tourism 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 Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

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 Global AI in Tourism Market, by Offering
  • 1.4.2 Global AI in Tourism Market, by End Use
  • 1.4.3 Global AI in Tourism Market, by Geography
• 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. Global AI in Tourism Market by Offering

• 5.1 Global Solution Market by Region
• 5.2 Global Services Market by Region

Chapter 6. Global AI in Tourism Market by End Use

• 6.1 Global Transportation & Mobility Services Market by Region
• 6.2 Global Travel Technology Platforms & Solution Providers Market by Region
• 6.3 Global Accommodation & Hospitality Providers Market by Region
• 6.4 Global Tourism Experience & Attraction Operators Market by Region

Chapter 7. Global AI in Tourism Market by Region

• 7.1 North America AI in Tourism Market
  • 7.1.1 North America AI in Tourism Market by Offering
    • 7.1.1.1 North America Solution Market by Region
    • 7.1.1.2 North America Services Market by Region
  • 7.1.2 North America AI in Tourism Market by End Use
    • 7.1.2.1 North America Transportation & Mobility Services Market by Country
    • 7.1.2.2 North America Travel Technology Platforms & Solution Providers Market by Country
    • 7.1.2.3 North America Accommodation & Hospitality Providers Market by Country
    • 7.1.2.4 North America Tourism Experience & Attraction Operators Market by Country
  • 7.1.3 North America AI in Tourism Market by Country
    • 7.1.3.1 US AI in Tourism Market
      • 7.1.3.1.1 US AI in Tourism Market by Offering
      • 7.1.3.1.2 US AI in Tourism Market by End Use
    • 7.1.3.2 Canada AI in Tourism Market
      • 7.1.3.2.1 Canada AI in Tourism Market by Offering
      • 7.1.3.2.2 Canada AI in Tourism Market by End Use
    • 7.1.3.3 Mexico AI in Tourism Market
      • 7.1.3.3.1 Mexico AI in Tourism Market by Offering
      • 7.1.3.3.2 Mexico AI in Tourism Market by End Use
    • 7.1.3.4 Rest of North America AI in Tourism Market
      • 7.1.3.4.1 Rest of North America AI in Tourism Market by Offering
      • 7.1.3.4.2 Rest of North America AI in Tourism Market by End Use
• 7.2 Europe AI in Tourism Market
  • 7.2.1 Europe AI in Tourism Market by Offering
    • 7.2.1.1 Europe Solution Market by Country
    • 7.2.1.2 Europe Services Market by Country
  • 7.2.2 Europe AI in Tourism Market by End Use
    • 7.2.2.1 Europe Transportation & Mobility Services Market by Country
    • 7.2.2.2 Europe Travel Technology Platforms & Solution Providers Market by Country
    • 7.2.2.3 Europe Accommodation & Hospitality Providers Market by Country
    • 7.2.2.4 Europe Tourism Experience & Attraction Operators Market by Country
  • 7.2.3 Europe AI in Tourism Market by Country
    • 7.2.3.1 Germany AI in Tourism Market
      • 7.2.3.1.1 Germany AI in Tourism Market by Offering
      • 7.2.3.1.2 Germany AI in Tourism Market by End Use
    • 7.2.3.2 UK AI in Tourism Market
      • 7.2.3.2.1 UK AI in Tourism Market by Offering
      • 7.2.3.2.2 UK AI in Tourism Market by End Use
    • 7.2.3.3 France AI in Tourism Market
      • 7.2.3.3.1 France AI in Tourism Market by Offering
      • 7.2.3.3.2 France AI in Tourism Market by End Use
    • 7.2.3.4 Russia AI in Tourism Market
      • 7.2.3.4.1 Russia AI in Tourism Market by Offering
      • 7.2.3.4.2 Russia AI in Tourism Market by End Use
    • 7.2.3.5 Spain AI in Tourism Market
      • 7.2.3.5.1 Spain AI in Tourism Market by Offering
      • 7.2.3.5.2 Spain AI in Tourism Market by End Use
    • 7.2.3.6 Italy AI in Tourism Market
      • 7.2.3.6.1 Italy AI in Tourism Market by Offering
      • 7.2.3.6.2 Italy AI in Tourism Market by End Use
    • 7.2.3.7 Rest of Europe AI in Tourism Market
      • 7.2.3.7.1 Rest of Europe AI in Tourism Market by Offering
      • 7.2.3.7.2 Rest of Europe AI in Tourism Market by End Use
• 7.3 Asia Pacific AI in Tourism Market
  • 7.3.1 Asia Pacific AI in Tourism Market by Offering
    • 7.3.1.1 Asia Pacific Solution Market by Country
    • 7.3.1.2 Asia Pacific Services Market by Country
  • 7.3.2 Asia Pacific AI in Tourism Market by End Use
    • 7.3.2.1 Asia Pacific Transportation & Mobility Services Market by Country
    • 7.3.2.2 Asia Pacific Travel Technology Platforms & Solution Providers Market by Country
    • 7.3.2.3 Asia Pacific Accommodation & Hospitality Providers Market by Country
    • 7.3.2.4 Asia Pacific Tourism Experience & Attraction Operators Market by Country
  • 7.3.3 Asia Pacific AI in Tourism Market by Country
    • 7.3.3.1 China AI in Tourism Market
      • 7.3.3.1.1 China AI in Tourism Market by Offering
      • 7.3.3.1.2 China AI in Tourism Market by End Use
    • 7.3.3.2 Japan AI in Tourism Market
      • 7.3.3.2.1 Japan AI in Tourism Market by Offering
      • 7.3.3.2.2 Japan AI in Tourism Market by End Use
    • 7.3.3.3 India AI in Tourism Market
      • 7.3.3.3.1 India AI in Tourism Market by Offering
      • 7.3.3.3.2 India AI in Tourism Market by End Use
    • 7.3.3.4 South Korea AI in Tourism Market
      • 7.3.3.4.1 South Korea AI in Tourism Market by Offering
      • 7.3.3.4.2 South Korea AI in Tourism Market by End Use
    • 7.3.3.5 Singapore AI in Tourism Market
      • 7.3.3.5.1 Singapore AI in Tourism Market by Offering
      • 7.3.3.5.2 Singapore AI in Tourism Market by End Use
    • 7.3.3.6 Malaysia AI in Tourism Market
      • 7.3.3.6.1 Malaysia AI in Tourism Market by Offering
      • 7.3.3.6.2 Malaysia AI in Tourism Market by End Use
    • 7.3.3.7 Rest of Asia Pacific AI in Tourism Market
      • 7.3.3.7.1 Rest of Asia Pacific AI in Tourism Market by Offering
      • 7.3.3.7.2 Rest of Asia Pacific AI in Tourism Market by End Use
• 7.4 LAMEA AI in Tourism Market
  • 7.4.1 LAMEA AI in Tourism Market by Offering
    • 7.4.1.1 LAMEA Solution Market by Country
    • 7.4.1.2 LAMEA Services Market by Country
  • 7.4.2 LAMEA AI in Tourism Market by End Use
    • 7.4.2.1 LAMEA Transportation & Mobility Services Market by Country
    • 7.4.2.2 LAMEA Travel Technology Platforms & Solution Providers Market by Country
    • 7.4.2.3 LAMEA Accommodation & Hospitality Providers Market by Country
    • 7.4.2.4 LAMEA Tourism Experience & Attraction Operators Market by Country
  • 7.4.3 LAMEA AI in Tourism Market by Country
    • 7.4.3.1 Brazil AI in Tourism Market
      • 7.4.3.1.1 Brazil AI in Tourism Market by Offering
      • 7.4.3.1.2 Brazil AI in Tourism Market by End Use
    • 7.4.3.2 Argentina AI in Tourism Market
      • 7.4.3.2.1 Argentina AI in Tourism Market by Offering
      • 7.4.3.2.2 Argentina AI in Tourism Market by End Use
    • 7.4.3.3 UAE AI in Tourism Market
      • 7.4.3.3.1 UAE AI in Tourism Market by Offering
      • 7.4.3.3.2 UAE AI in Tourism Market by End Use
    • 7.4.3.4 Saudi Arabia AI in Tourism Market
      • 7.4.3.4.1 Saudi Arabia AI in Tourism Market by Offering
      • 7.4.3.4.2 Saudi Arabia AI in Tourism Market by End Use
    • 7.4.3.5 South Africa AI in Tourism Market
      • 7.4.3.5.1 South Africa AI in Tourism Market by Offering
      • 7.4.3.5.2 South Africa AI in Tourism Market by End Use
    • 7.4.3.6 Nigeria AI in Tourism Market
      • 7.4.3.6.1 Nigeria AI in Tourism Market by Offering
      • 7.4.3.6.2 Nigeria AI in Tourism Market by End Use
    • 7.4.3.7 Rest of LAMEA AI in Tourism Market
      • 7.4.3.7.1 Rest of LAMEA AI in Tourism Market by Offering
      • 7.4.3.7.2 Rest of LAMEA 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

Chapter 9. Winning Imperatives of AI in Tourism Market