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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

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    Report

  • 113 Pages
  • April 2025
  • Region: Europe
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6077459
The Europe AI in Tourism Market is expected to 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 is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $1.23 billion by 2032. The UK market is exhibiting a CAGR of 24.8% during 2025-2032. Additionally, the France market is expected to 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.

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

  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

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 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

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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