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Artificial Intelligence (AI) in Travel Market Report 2026

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    Report

  • 250 Pages
  • January 2026
  • Region: Global
  • The Business Research Company
  • ID: 6035331
The artificial intelligence (ai) in travel market size has grown exponentially in recent years. It will grow from $165.93 billion in 2025 to $222.4 billion in 2026 at a compound annual growth rate (CAGR) of 34%. The growth in the historic period can be attributed to expansion of online travel booking platforms, increasing use of digital customer service tools, growth of data-driven marketing in travel, rising cloud adoption, increased availability of travel data.

The artificial intelligence (ai) in travel market size is expected to see exponential growth in the next few years. It will grow to $710.57 billion in 2030 at a compound annual growth rate (CAGR) of 33.7%. The growth in the forecast period can be attributed to increasing investments in end-to-end ai travel platforms, rising demand for hyper-personalized travel experiences, expansion of ai-enabled operational optimization, growing focus on real-time traveler insights, increasing adoption of biometric and facial recognition tools. Major trends in the forecast period include increasing adoption of ai-powered personalization engines, rising use of chatbots and virtual travel assistants, growing deployment of dynamic pricing algorithms, expansion of ai-driven fraud detection systems, enhanced focus on predictive travel analytics.

The rise in global tourism is expected to propel the growth of the artificial intelligence (AI) in travel market going forward. Global tourism involves people traveling internationally for leisure, business, or other reasons, fostering cultural exchange, economic development, and worldwide connections. The surge in global tourism is driven by higher disposable incomes, easier access to international travel, a greater desire to explore different destinations, and advancements in travel technology. AI in travel enhances tourism by providing personalized recommendations, automating bookings, and optimizing customer service, which improves overall traveler experiences and operational efficiency. For instance, in 2024, according to the World Travel and Tourism Council, a UK-based travel company, in 2023, the travel and tourism sector accounted for 9.1% of the global GDP, marking a 23.2% rise compared to 2022. Therefore, the rise in global tourism drives the artificial intelligence (AI) in travel market.

Major companies operating in the artificial intelligence (AI) in travel market are focusing on technological development such as integrating artificial intelligence in personalized travel to enhance customer experiences by delivering tailored recommendations, optimizing travel itineraries, and providing real-time assistance. AI in personalized travel customizes travel experiences by leveraging technology to analyze user data and preferences, providing tailored suggestions for destinations, accommodations, and activities based on individual needs and past behaviors. For instance, in May 2024, Expedia Group Inc., a US-based travel technology company, launched an AI-powered assistant called Romie. Romie is an AI travel assistant who is a personal travel agent, aiding in planning, booking, and handling last-minute travel changes. It learns the user's preferences over time to offer personalized recommendations and features for group chat planning, smart search, and itinerary building.

In May 2024, Headout, a US-based tours and activities platform, acquired Dabble for an undisclosed amount. The acquisition aims to enhance Headout's mission of providing top-tier real-life experiences through advanced AI technology. Dabble is a Canada-based startup that helps companies use artificial intelligence (AI) more effectively to boost travel experiences search.

Major companies operating in the artificial intelligence (ai) in travel market are International Business Machines Corporation, Expedia Group Inc., Priceline.com, Booking.com B.V., Airbnb Inc., Sabre Corporation, TripAdvisor Inc., Agoda Company Pte. Ltd., SAP Concur, Travelport Worldwide Ltd., Hotelbeds Group, Skyscanner Ltd., Trivago N.V., MakeMyTrip Limited, Fareportal, Kayak Software Corporation, Despegar.com Inc., Cendyn Group LLC, Hopper, Cleartrip Private Limited, Sojern Inc., OTA Insight Ltd., Adara Inc., Viator Inc., Duetto.

North America was the largest region in the artificial intelligence (AI) in travel market in 2025. The regions covered in the artificial intelligence (ai) in travel market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (ai) in travel market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) in travel market includes revenues earned by entities by providing services such as personalized recommendations, virtual assistants and chatbots, dynamic pricing, and predictive analytics for travel demand. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in travel market also includes sales of kiosks and self-service terminals and robotic assistants. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 1-3 business days.

Table of Contents

1. Executive Summary
1.1. Key Market Insights (2020-2035)
1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
1.3. Major Factors Driving the Market
1.4. Top Three Trends Shaping the Market
2. Artificial Intelligence (AI) in Travel Market Characteristics
2.1. Market Definition & Scope
2.2. Market Segmentations
2.3. Overview of Key Products and Services
2.4. Global Artificial Intelligence (AI) in Travel Market Attractiveness Scoring and Analysis
2.4.1. Overview of Market Attractiveness Framework
2.4.2. Quantitative Scoring Methodology
2.4.3. Factor-Wise Evaluation
Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment and Risk Profile Evaluation
2.4.4. Market Attractiveness Scoring and Interpretation
2.4.5. Strategic Implications and Recommendations
3. Artificial Intelligence (AI) in Travel Market Supply Chain Analysis
3.1. Overview of the Supply Chain and Ecosystem
3.2. List of Key Raw Materials, Resources & Suppliers
3.3. List of Major Distributors and Channel Partners
3.4. List of Major End Users
4. Global Artificial Intelligence (AI) in Travel Market Trends and Strategies
4.1. Key Technologies & Future Trends
4.1.1 Artificial Intelligence & Autonomous Intelligence
4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
4.1.3 Internet of Things (Iot), Smart Infrastructure & Connected Ecosystems
4.1.4 Fintech, Blockchain, Regtech & Digital Finance
4.1.5 Immersive Technologies (Ar/Vr/Xr)
4.2. Major Trends
4.2.1 Increasing Adoption of Ai-Powered Personalization Engines
4.2.2 Rising Use of Chatbots and Virtual Travel Assistants
4.2.3 Growing Deployment of Dynamic Pricing Algorithms
4.2.4 Expansion of Ai-Driven Fraud Detection Systems
4.2.5 Enhanced Focus on Predictive Travel Analytics
5. Artificial Intelligence (AI) in Travel Market Analysis of End Use Industries
5.1 Travel Agencies
5.2 Online Travel Platforms
5.3 Airlines
5.4 Hotels and Resorts
5.5 Travel Technology Providers
6. Artificial Intelligence (AI) in Travel Market - Macro Economic Scenario Including the Impact of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, and Covid and Recovery on the Market
7. Global Artificial Intelligence (AI) in Travel Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
7.1. Global Artificial Intelligence (AI) in Travel PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
7.2. Global Artificial Intelligence (AI) in Travel Market Size, Comparisons and Growth Rate Analysis
7.3. Global Artificial Intelligence (AI) in Travel Historic Market Size and Growth, 2020-2025, Value ($ Billion)
7.4. Global Artificial Intelligence (AI) in Travel Forecast Market Size and Growth, 2025-2030, 2035F, Value ($ Billion)
8. Global Artificial Intelligence (AI) in Travel Total Addressable Market (TAM) Analysis for the Market
8.1. Definition and Scope of Total Addressable Market (TAM)
8.2. Methodology and Assumptions
8.3. Global Total Addressable Market (TAM) Estimation
8.4. TAM vs. Current Market Size Analysis
8.5. Strategic Insights and Growth Opportunities from TAM Analysis
9. Artificial Intelligence (AI) in Travel Market Segmentation
9.1. Global Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Software, Services
9.2. Global Artificial Intelligence (AI) in Travel Market, Segmentation by Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
on-Premises, Cloud-Based
9.3. Global Artificial Intelligence (AI) in Travel Market, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Customer Service, Booking and Reservations, Travel Planning and Personalization, Marketing and Advertising, Operations Management, Security and Fraud Detection
9.4. Global Artificial Intelligence (AI) in Travel Market, Sub-Segmentation of Software, by Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
AI-powered Travel Booking Platforms, Chatbots and Virtual Assistants, Personalization and Recommendation Engines, Revenue Management Software, Customer Relationship Management (CRM) Tools
9.5. Global Artificial Intelligence (AI) in Travel Market, Sub-Segmentation of Services, by Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Consulting Services, Implementation and Integration Services, Data Analytics and Insights Services, Training and Support Services, Digital Marketing Services
10. Artificial Intelligence (AI) in Travel Market Regional and Country Analysis
10.1. Global Artificial Intelligence (AI) in Travel Market, Split by Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
10.2. Global Artificial Intelligence (AI) in Travel Market, Split by Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
11. Asia-Pacific Artificial Intelligence (AI) in Travel Market
11.1. Asia-Pacific Artificial Intelligence (AI) in Travel Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
11.2. Asia-Pacific Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
12. China Artificial Intelligence (AI) in Travel Market
12.1. China Artificial Intelligence (AI) in Travel Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
12.2. China Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
13. India Artificial Intelligence (AI) in Travel Market
13.1. India Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
14. Japan Artificial Intelligence (AI) in Travel Market
14.1. Japan Artificial Intelligence (AI) in Travel Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
14.2. Japan Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
15. Australia Artificial Intelligence (AI) in Travel Market
15.1. Australia Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
16. Indonesia Artificial Intelligence (AI) in Travel Market
16.1. Indonesia Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
17. South Korea Artificial Intelligence (AI) in Travel Market
17.1. South Korea Artificial Intelligence (AI) in Travel Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
17.2. South Korea Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
18. Taiwan Artificial Intelligence (AI) in Travel Market
18.1. Taiwan Artificial Intelligence (AI) in Travel Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
18.2. Taiwan Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
19. South East Asia Artificial Intelligence (AI) in Travel Market
19.1. South East Asia Artificial Intelligence (AI) in Travel Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
19.2. South East Asia Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
20. Western Europe Artificial Intelligence (AI) in Travel Market
20.1. Western Europe Artificial Intelligence (AI) in Travel Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
20.2. Western Europe Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
21. UK Artificial Intelligence (AI) in Travel Market
21.1. UK Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
22. Germany Artificial Intelligence (AI) in Travel Market
22.1. Germany Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
23. France Artificial Intelligence (AI) in Travel Market
23.1. France Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
24. Italy Artificial Intelligence (AI) in Travel Market
24.1. Italy Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
25. Spain Artificial Intelligence (AI) in Travel Market
25.1. Spain Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
26. Eastern Europe Artificial Intelligence (AI) in Travel Market
26.1. Eastern Europe Artificial Intelligence (AI) in Travel Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
26.2. Eastern Europe Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
27. Russia Artificial Intelligence (AI) in Travel Market
27.1. Russia Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
28. North America Artificial Intelligence (AI) in Travel Market
28.1. North America Artificial Intelligence (AI) in Travel Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
28.2. North America Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
29. USA Artificial Intelligence (AI) in Travel Market
29.1. USA Artificial Intelligence (AI) in Travel Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
29.2. USA Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
30. Canada Artificial Intelligence (AI) in Travel Market
30.1. Canada Artificial Intelligence (AI) in Travel Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
30.2. Canada Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
31. South America Artificial Intelligence (AI) in Travel Market
31.1. South America Artificial Intelligence (AI) in Travel Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
31.2. South America Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
32. Brazil Artificial Intelligence (AI) in Travel Market
32.1. Brazil Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
33. Middle East Artificial Intelligence (AI) in Travel Market
33.1. Middle East Artificial Intelligence (AI) in Travel Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
33.2. Middle East Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
34. Africa Artificial Intelligence (AI) in Travel Market
34.1. Africa Artificial Intelligence (AI) in Travel Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
34.2. Africa Artificial Intelligence (AI) in Travel Market, Segmentation by Component, Segmentation by Deployment Mode, Segmentation by Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
35. Artificial Intelligence (AI) in Travel Market Regulatory and Investment Landscape
36. Artificial Intelligence (AI) in Travel Market Competitive Landscape and Company Profiles
36.1. Artificial Intelligence (AI) in Travel Market Competitive Landscape and Market Share 2024
36.1.1. Top 10 Companies (Ranked by revenue/share)
36.2. Artificial Intelligence (AI) in Travel Market - Company Scoring Matrix
36.2.1. Market Revenues
36.2.2. Product Innovation Score
36.2.3. Brand Recognition
36.3. Artificial Intelligence (AI) in Travel Market Company Profiles
36.3.1. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
36.3.2. Expedia Group Inc. Overview, Products and Services, Strategy and Financial Analysis
36.3.3. Priceline.com Overview, Products and Services, Strategy and Financial Analysis
36.3.4. Booking.com B.V. Overview, Products and Services, Strategy and Financial Analysis
36.3.5. Airbnb Inc. Overview, Products and Services, Strategy and Financial Analysis
37. Artificial Intelligence (AI) in Travel Market Other Major and Innovative Companies
Sabre Corporation, TripAdvisor Inc., Agoda Company Pte. Ltd., SAP Concur, Travelport Worldwide Ltd., Hotelbeds Group, Skyscanner Ltd., Trivago N.V., MakeMyTrip Limited, Fareportal, Kayak Software Corporation, Despegar.com Inc., Cendyn Group LLC, Hopper, Cleartrip Private Limited
38. Global Artificial Intelligence (AI) in Travel Market Competitive Benchmarking and Dashboard39. Key Mergers and Acquisitions in the Artificial Intelligence (AI) in Travel Market
40. Artificial Intelligence (AI) in Travel Market High Potential Countries, Segments and Strategies
40.1 Artificial Intelligence (AI) in Travel Market in 2030 - Countries Offering Most New Opportunities
40.2 Artificial Intelligence (AI) in Travel Market in 2030 - Segments Offering Most New Opportunities
40.3 Artificial Intelligence (AI) in Travel Market in 2030 - Growth Strategies
40.3.1 Market Trend Based Strategies
40.3.2 Competitor Strategies
41. Appendix
41.1. Abbreviations
41.2. Currencies
41.3. Historic and Forecast Inflation Rates
41.4. Research Inquiries
41.5. About the Analyst
41.6. Copyright and Disclaimer

Executive Summary

Artificial Intelligence (AI) in Travel Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence (ai) in travel market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase::

  • Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
  • Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
  • Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Description

Where is the largest and fastest growing market for artificial intelligence (ai) in travel? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in travel market global report answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Report Scope

Markets Covered:

1) By Component: Software; Services
2) By Deployment mode: on-Premises; Cloud-Based
3) By Application: Customer Service; Booking and Reservations; Travel Planning and Personalization; Marketing and Advertising; Operations Management; Security and Fraud Detection

Subsegments:

1) By Software: AI-powered Travel Booking Platforms; Chatbots and Virtual Assistants; Personalization and Recommendation Engines; Revenue Management Software; Customer Relationship Management (CRM) Tools
2) By Services: Consulting Services; Implementation and Integration Services; Data Analytics and Insights Services; Training and Support Services; Digital Marketing Services

Companies Mentioned: International Business Machines Corporation; Expedia Group Inc.; Priceline.com; Booking.com B.V.; Airbnb Inc.; Sabre Corporation; TripAdvisor Inc.; Agoda Company Pte. Ltd.; SAP Concur; Travelport Worldwide Ltd.; Hotelbeds Group; Skyscanner Ltd.; Trivago N.V.; MakeMyTrip Limited; Fareportal; Kayak Software Corporation; Despegar.com Inc.; Cendyn Group LLC; Hopper; Cleartrip Private Limited; Sojern Inc.; OTA Insight Ltd.; Adara Inc.; Viator Inc.; Duetto

Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.

Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa

Time Series: Five years historic and ten years forecast.

Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.

Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.

Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.

Delivery Format: Word, PDF or Interactive Report + Excel Dashboard

Added Benefits:

  • Bi-Annual Data Update
  • Customisation
  • Expert Consultant Support

Companies Mentioned

The companies featured in this Artificial Intelligence (AI) in Travel market report include:
  • International Business Machines Corporation
  • Expedia Group Inc.
  • Priceline.com
  • Booking.com B.V.
  • Airbnb Inc.
  • Sabre Corporation
  • TripAdvisor Inc.
  • Agoda Company Pte. Ltd.
  • SAP Concur
  • Travelport Worldwide Ltd.
  • Hotelbeds Group
  • Skyscanner Ltd.
  • Trivago N.V.
  • MakeMyTrip Limited
  • Fareportal
  • Kayak Software Corporation
  • Despegar.com Inc.
  • Cendyn Group LLC
  • Hopper
  • Cleartrip Private Limited
  • Sojern Inc.
  • OTA Insight Ltd.
  • Adara Inc.
  • Viator Inc.
  • Duetto

Table Information