Global Artificial Intelligence in Travel and Tourism Market to reach USD 1659.08 billion by 2032.
The global Artificial Intelligence (AI) in Travel and Tourism Market was valued at approximately USD 109.92 billion in 2023 and is projected to experience a robust CAGR of 35.20% from 2024 to 2032, reaching a market size of USD 1659.08 billion by 2032. AI in travel and tourism is revolutionizing how services are delivered, ensuring streamlined operations, enhanced customer experiences, and better decision-making through the analysis of vast data sets. With its ability to automate and customize services, AI has become indispensable in this industry, driving innovation and operational efficiency.
AI technologies are reshaping travel operations across various sectors. Budget providers are increasingly leveraging automation for cost efficiencies, while premium travel service providers emphasize the human touch for a seamless, personalized experience. Advanced AI capabilities, such as machine learning algorithms, predictive analytics, and generative AI, are enabling businesses to meet customer expectations through tailored recommendations and improved operational efficiency.
The exponential growth in AI adoption is also fueled by significant investments in the technology across travel sectors. For example, AI-powered chatbots and virtual assistants are helping businesses manage customer inquiries 24/7, thus improving service reliability. These technologies enable businesses to forecast customer behavior, optimize pricing strategies, and enhance overall travel experiences. However, challenges like data privacy concerns and the integration of AI solutions with existing systems may limit the full-scale adoption of AI.
Regional dynamics in the AI in travel and tourism market underscore its global significance. North America leads the market due to high adoption rates of AI technologies among key players, including airlines, hotels, and travel platforms. Europe follows closely, benefiting from government initiatives to encourage digital transformation in tourism. Meanwhile, Asia-Pacific is projected to exhibit the fastest growth, driven by rising digitalization, increased travel demand, and advancements in AI technologies.
Major market players included in this report are:
Accor
Airbnb
Booking Holdings
Delta Air Lines
Dubai Airports Company
easyJet
Expedia
Hopper
InterContinental Hotels Group
Marriott International
Turkish Airlines
Sabre Corporation
Amadeus IT Group
IBM Corporation
Google LLC
The detailed segments and sub-segment of the market are explained below:
By Components
Advanced AI Capabilities
Automation Tools
Customer Experience Enhancements
Operational Efficiencies
By Application
Airlines
Airports
Lodging
Transportation
By Region
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
Rest of Europe
Asia Pacific
China
India
Japan
Australia
South Korea
Rest of Asia Pacific
Latin America
Brazil
Mexico
Rest of Latin America
Middle East & Africa
Saudi Arabia
South Africa
Rest of MEA
Years considered for the study are as follows:
Historical year - 2022
Base year - 2023
Forecast period - 2024 to 2032
Key Takeaways:
Market Estimates & Forecast for 10 years from 2022 to 2032.
Annualized revenues and regional-level analysis for each market segment.
Detailed analysis of the geographical landscape with country-level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approaches.
Analysis of the competitive structure of the market.
Demand-side and supply-side analysis of the market.
Table of Contents
Chapter 1. Global Artificial Intelligence in Travel and Tourism Market Executive Summary
1.1. Global Artificial Intelligence in Travel and Tourism Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
1.3.1. By Components
1.3.2. By Application
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion
Chapter 2. Global Artificial Intelligence in Travel and Tourism Market Definition and Research Assumptions