AI In Tourism Market is Likely to Experience a Tremendous Growth in Near Future

HTF MI just released the Global AI In Tourism Market Study, a comprehensive analysis of the market that spans more than 143+ pages and describes the product and industry scope as well as the market prognosis and status for 2025-2031. The marketization process is being accelerated by the market study's segmentation by important regions. The market is currently expanding its reach.

Major companies in AI In Tourism Market are: Amazon Web Services (United States), IBM Corporation (United States), Microsoft (United States), Google LLC (United States), Amadeus IT Group (Spain), Baidu Inc. (China), APPIER INC. (Taiwan), SAS Institute (United States), Huawei Technologies (China), Salesforce (United States), SABRE Corporation (United States), Snowflake Inc. (United States), Meta Platforms (United States), Booking Holdings (United States), Marriott International (United States), Hertz (United States), Hopper (Canada), FLYR (United States), Lola Travel (United States), Boxever (Ireland).

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According to HTF Market Intelligence, the global AI In Tourism Market size was valued at USD 570 million in 2024 and estimated to reach revenue of USD 9,806 million by 2031, with a CAGR of 35% from 2025 to 2031.

The AI In Tourism Market is Segmented by Application (Personalization (Recommendation Engines, Custom Itineraries), Customer Service (Chatbots, Virtual Assistants), Operations Management (Resource Optimization, Dynamic Pricing), Marketing & Advertising, Security & Fraud Prevention) by Type (Solutions (Software, Platforms), Services (Consulting, Managed Services), Machine Learning, Natural Language Processing, Computer Vision) by End-User (Travel Agencies, Airlines, Hotels, Car Rentals, Tour Operators) by Technology (NLP, Machine Learning, Computer Vision)

Definition:
AI in tourism applies machine learning, NLP, and predictive analytics to enhance travel planning, booking, and on-site experiences. It powers chatbots, recommendation systems, smart itineraries, and operational optimization for providers. AI helps personalize offers, manage traffic at destinations, and forecast demand. With immersive technologies, it transforms how tourists interact with destinations, improving satisfaction and efficiency.

Market Trends:
AI chatbots for 24/7 assistance, recommendation engines, predictive analytics for dynamic pricing, and VR/AR for immersive planning.

Market Drivers
Growing traveler demand for personalization, cost savings for operators, and AI use in chatbots, recommendations, and smart itinerary planning drive market expansion.

Market Opportunities:
Tailored travel experiences, multilingual AI tools, and integration with smart cities and mobility platforms.

Market Challenges:
Data privacy issues, uneven adoption across regions, lack of tech integration in smaller firms, and high upfront costs.

Dominating Region:
Europe

Fastest-Growing Region:
Asia Pacific

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The titled segments and sub-section of the market are illuminated below:
In-depth analysis of AI In Tourism market segments by Types: Solutions (Software, Platforms), Services (Consulting, Managed Services), Machine Learning, Natural Language Processing, Computer Vision
Detailed analysis of AI In Tourism market segments by Applications: Personalization (Recommendation Engines, Custom Itineraries

Global AI In Tourism Market -Regional Analysis
• North America: United States of America (US), Canada, and Mexico.
• South & Central America: Argentina, Chile, Colombia, and Brazil.
• Middle East & Africa: Kingdom of Saudi Arabia, United Arab Emirates, Turkey, Israel, Egypt, and South Africa.
• Europe: the UK, France, Italy, Germany, Spain, Nordics, BALTIC Countries, Russia, Austria, and the Rest of Europe.
• Asia: India, China, Japan, South Korea, Taiwan, Southeast Asia (Singapore, Thailand, Malaysia, Indonesia, Philippines & Vietnam, etc) & Rest
• Oceania: Australia & New Zealand

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AI In Tourism Market Research Objectives:
- Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
- To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).
- To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.
- To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.
- To deliberately profile the key players and systematically examine their growth strategies.

FIVE FORCES & PESTLE ANALYSIS:
In order to better understand market conditions five forces analysis is conducted that includes the Bargaining power of buyers, Bargaining power of suppliers, Threat of new entrants, Threat of substitutes, and Threat of rivalry.
• Political (Political policy and stability as well as trade, fiscal, and taxation policies)
• Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)
• Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)
• Technological (Changes in digital or mobile technology, automation, research, and development)
• Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)
• Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)

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Points Covered in Table of Content of Global AI In Tourism Market:
Chapter 01 - AI In Tourism Executive Summary
Chapter 02 - Market Overview
Chapter 03 - Key Success Factors
Chapter 04 - Global AI In Tourism Market - Pricing Analysis
Chapter 05 - Global AI In Tourism Market Background or History
Chapter 06 - Global AI In Tourism Market Segmentation (e.g. Type, Application)
Chapter 07 - Key and Emerging Countries Analysis Worldwide AI In Tourism Market
Chapter 08 - Global AI In Tourism Market Structure & worth Analysis
Chapter 09 - Global AI In Tourism Market Competitive Analysis & Challenges
Chapter 10 - Assumptions and Acronyms
Chapter 11 - AI In Tourism Market Research Method

Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, LATAM, Europe, Japan, Australia or Southeast Asia.

Nidhi Bhawsar (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Phone: +15075562445
sales@htfmarketreport.com

About Author:
HTF Market Intelligence Consulting is uniquely positioned to empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events, and experience that assist in decision-making.

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