Global AI in Tourism Market Size, Share & Trends Analysis Report By Offering (Solution, and Services), By End Use, By Regional Outlook and Forecast, 2025 - 2032
세계의 관광 분야 AI 시장 규모는 2032년까지 207억 달러로 성장할 것으로 예측되고, 예측 기간 동안 26.3%의 연평균 성장률(CAGR)로 성장할 전망입니다.
또한, 관광 분야 AI 연구 개발(R&D)에 대한 투자가 증가하면서 다양한 여행 및 관광분야 에서 AI 기술이 빠르게 도입되고 있습니다. AI 기반 혁신에 상당한 자금이 유입되면서 운영 효율성을 높이고 고객 경험을 최적화하며 예측 인사이트를 제공하기 위해 설계된 AI 기반 솔루션 개발이 급증하고 있습니다. 따라서 AI 연구 및 관광 개발에 대한 투자가 증가하면서 시장의 성장이 촉진되고 있습니다.
그러나 관광분야 에서 AI를 도입하는 데 있어 중요한 억제 요인 중 하나는 AI 기술 통합과 관련된 높은 초기 투자 및 개발 비용입니다. AI는 운영 효율성, 개인화된 경험, 고객 서비스 개선 등 상당한 이점을 제공하지만, 중소기업의 경우 AI 시스템 구현에 드는 비용이 만만치 않을 수 있습니다. 따라서 관광 업계에서 AI 통합용 높은 초기 투자 및 개발 비용이 시장 성장을 저해하고 있습니다.
제공 제품 전망
시장은 제공 제품에 따라 솔루션과 서비스로 분류됩니다. 서비스 부문은 2024년 년 시장에서 37 %의 매출 점유율을 확보했습니다. 이 부문에는 조직이 운영 내에서 AI 기술을 구현하고 최적화하는 데 도움이 되는 컨설팅, 통합 및 지원 서비스가 포함됩니다. AI의 이점에 대한 인식이 높아짐에 따라 관광 업계에서는 AI를 레거시 시스템에 통합하고 확장성을 보장하며 원활한 운영을 유지하기 위해 전문가의 조언을 구하고 있습니다.
최종 용도 전망
최종 용도에 따라 시장은 교통 및 모빌리티 서비스, 여행 기술 플랫폼 및 솔루션 제공업체, 숙박 및 접객 서비스 제공 업체, 관광 체험 및 관광 명소 운영업체로 분류됩니다. 여행 기술 플랫폼 및 솔루션 제공업체 부문은 2024년 시장에서 27%의 매출 점유율을 기록했습니다. 이 부문에는 예약 관리, 고객 참여, 데이터 분석 및 개인화를 지원하는 디지털 플랫폼, 소프트웨어 솔루션, AI 기반 도구를 개발 및 제공하는 기업이 포함됩니다. 여행사, 여행사, 온라인 여행 통합 플랫폼들이 클라우드 기반 플랫폼과 지능형 소프트웨어에 대한 의존도가 높아짐에 따라 AI 기반 솔루션에 대한 수요가 증가하고 있습니다.
지역 전망
지역별로는 북미, 유럽, 아시아태평양 및 LAMEA 시장을 분석합니다. 유럽 부문은 2024년 시장에서 29%의 매출 점유율을 기록했습니다. 이 지역의 국가들은 더 많은 해외 방문객을 유치하고 서비스 효율성을 개선하기 위해 관광 서비스에 AI 기술을 점점 더 많이 통합하고 있습니다. 가상 여행 도우미, 스마트 추천, 다국어 고객 지원과 같은 AI 기반 도구를 구현함으로써 관광객의 여행 경험이 향상되었습니다.
목차
제1장 시장 범위와 조사 방법
- 시장의 정의
- 목적
- 시장 범위
- 세분화
- 조사 방법
제2장 시장 개관
제3장 시장 개요
- 소개
- 시장에 영향을 미치는 주요 요인
- 시장 성장 촉진요인
- 시장 성장 억제요인
- 시장 기회
- 시장 과제
제4장 경쟁 분석 - 세계
- 시장 점유율 분석(2024년)
- 관광 분야 AI 시장 활용 전략
- Porter's Five Forces 분석
제5장 세계의 관광 분야 AI 시장 : 제공 제품별
- 세계의 솔루션 시장 : 지역별
- 세계의 서비스 시장 : 지역별
제6장 세계의 관광 분야 AI 시장 : 최종 용도별
- 세계의 교통 및 모빌리티 서비스 시장 : 지역별
- 세계의 여행 기술 플랫폼 및 솔루션 제공업체 시장 : 지역별
- 세계의 숙박 및 접객 서비스 제공 업체 시장 : 지역별
- 세계의 관광 체험 및 관광 명소 운영업체 : 지역별
제7장 세계의 관광 분야 AI 시장 : 지역별
- 북미
- 유럽
- 유럽 시장 : 국가별
- 독일
- 영국
- 프랑스
- 러시아
- 스페인
- 이탈리아
- 기타 유럽
- 아시아태평양
- 아시아태평양 시장 : 국가별
- 중국
- 일본
- 인도
- 한국
- 싱가포르
- 말레이시아
- 기타 아시아태평양
- 라틴아메리카, 중동 및 아프리카
- 라틴아메리카, 중동, 아프리카 시장 : 국가별
- 브라질
- 아르헨티나
- 아랍에미리트(UAE)
- 사우디아라비아
- 남아프리카
- 나이지리아
- 기타 라틴아메리카, 중동 및 아프리카
제8장 기업 프로파일
- 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, LL.C
제9장 관광 분야 AI 시장의 성공 필수 조건
HBR
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
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
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
