Europe AI in Tourism Market Size, Share & Trends Analysis Report By Offering (Solution, and Services), By End Use, By Country and Growth Forecast, 2025 - 2032
Description
The Europe AI in Tourism Market would witness market growth of 25.9% CAGR during the forecast period (2025-2032).
The Germany market dominated the Europe AI in Tourism Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $1,239.2 million by 2032. The UK market is exhibiting a CAGR of 24.8% during (2025 - 2032). Additionally, The France market would experience a CAGR of 26.9% during (2025 - 2032).
According to the Our World in Data, the annual corporate investment in artificial intelligence was USD 176.47 billion in 2021. One of the most prominent applications of AI in tourism is the deployment of chatbots and virtual assistants. Travel businesses, including airlines, hotels, and tour operators, utilize AI-powered chatbots to handle customer queries, book reservations and provide personalized recommendations.
These AI-driven chatbots are available 24/7, ensuring that travellers receive timely assistance at any time of day or night. Virtual assistants can also process multiple languages, allowing companies to effectively engage a customer base. AI helps travel agencies and platforms deliver highly personalized recommendations by analyzing customer preferences, historical data, and behavioural patterns.
Europe remains one of the most dynamic regions for global tourism, combining high international visitor volumes with increasing digital transformation across industries. As travellers seek more personalized, efficient, and seamless experiences, the integration of Artificial Intelligence (AI) in tourism is accelerating. In this landscape, Spain’s tourism dominance, the UK’s leadership in adventure travel, and widespread AI adoption across European enterprises are key forces driving the market's growth in the UK and wider Europe. According to Eurostat, Spain alone accounted for 271 million nights spent in tourist accommodations in 2022, making it the EU’s most visited international destination and representing 22.4% of the EU total. This immense footfall highlights the need for advanced systems to manage tourism at scale. Simultaneously, 13.48% of EU enterprises and 41.17% of large enterprises adopted AI technologies in 2024—signalling strong digital readiness. Thus, with soaring tourism numbers, particularly in hotspots like Spain, and a strong uptake of AI among businesses, Europe is witnessing a digital transformation in travel.
Based on Offering, the market is segmented into Solution, and Services. Based on End Use, the market is segmented into Transportation & Mobility Services, Travel Technology Platforms & Solution Providers, Accommodation & Hospitality Providers, and Tourism Experience & Attraction Operators. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
List of Key Companies Profiled
By Offering
The Germany market dominated the Europe AI in Tourism Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $1,239.2 million by 2032. The UK market is exhibiting a CAGR of 24.8% during (2025 - 2032). Additionally, The France market would experience a CAGR of 26.9% during (2025 - 2032).
According to the Our World in Data, the annual corporate investment in artificial intelligence was USD 176.47 billion in 2021. One of the most prominent applications of AI in tourism is the deployment of chatbots and virtual assistants. Travel businesses, including airlines, hotels, and tour operators, utilize AI-powered chatbots to handle customer queries, book reservations and provide personalized recommendations.
These AI-driven chatbots are available 24/7, ensuring that travellers receive timely assistance at any time of day or night. Virtual assistants can also process multiple languages, allowing companies to effectively engage a customer base. AI helps travel agencies and platforms deliver highly personalized recommendations by analyzing customer preferences, historical data, and behavioural patterns.
Europe remains one of the most dynamic regions for global tourism, combining high international visitor volumes with increasing digital transformation across industries. As travellers seek more personalized, efficient, and seamless experiences, the integration of Artificial Intelligence (AI) in tourism is accelerating. In this landscape, Spain’s tourism dominance, the UK’s leadership in adventure travel, and widespread AI adoption across European enterprises are key forces driving the market's growth in the UK and wider Europe. According to Eurostat, Spain alone accounted for 271 million nights spent in tourist accommodations in 2022, making it the EU’s most visited international destination and representing 22.4% of the EU total. This immense footfall highlights the need for advanced systems to manage tourism at scale. Simultaneously, 13.48% of EU enterprises and 41.17% of large enterprises adopted AI technologies in 2024—signalling strong digital readiness. Thus, with soaring tourism numbers, particularly in hotspots like Spain, and a strong uptake of AI among businesses, Europe is witnessing a digital transformation in travel.
Based on Offering, the market is segmented into Solution, and Services. Based on End Use, the market is segmented into Transportation & Mobility Services, Travel Technology Platforms & Solution Providers, Accommodation & Hospitality Providers, and Tourism Experience & Attraction Operators. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
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
By Offering
- Solution
- Services
- Transportation & Mobility Services
- Travel Technology Platforms & Solution Providers
- Accommodation & Hospitality Providers
- Tourism Experience & Attraction Operators
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Table of Contents
113 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Europe AI in Tourism Market, by Offering
- 1.4.2 Europe AI in Tourism Market, by End Use
- 1.4.3 Europe 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. Europe AI in Tourism Market by Offering
- 5.1 Europe Solution Market by Country
- 5.2 Europe Services Market by Country
- Chapter 6. Europe AI in Tourism Market by End Use
- 6.1 Europe Transportation & Mobility Services Market by Country
- 6.2 Europe Travel Technology Platforms & Solution Providers Market by Country
- 6.3 Europe Accommodation & Hospitality Providers Market by Country
- 6.4 Europe Tourism Experience & Attraction Operators Market by Country
- Chapter 7. Europe AI in Tourism Market by Country
- 7.1 Germany AI in Tourism Market
- 7.1.1 Germany AI in Tourism Market by Offering
- 7.1.2 Germany AI in Tourism Market by End Use
- 7.2 UK AI in Tourism Market
- 7.2.1 UK AI in Tourism Market by Offering
- 7.2.2 UK AI in Tourism Market by End Use
- 7.3 France AI in Tourism Market
- 7.3.1 France AI in Tourism Market by Offering
- 7.3.2 France AI in Tourism Market by End Use
- 7.4 Russia AI in Tourism Market
- 7.4.1 Russia AI in Tourism Market by Offering
- 7.4.2 Russia AI in Tourism Market by End Use
- 7.5 Spain AI in Tourism Market
- 7.5.1 Spain AI in Tourism Market by Offering
- 7.5.2 Spain AI in Tourism Market by End Use
- 7.6 Italy AI in Tourism Market
- 7.6.1 Italy AI in Tourism Market by Offering
- 7.6.2 Italy AI in Tourism Market by End Use
- 7.7 Rest of Europe AI in Tourism Market
- 7.7.1 Rest of Europe AI in Tourism Market by Offering
- 7.7.2 Rest of Europe 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
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