観光業向けAIの世界市場：提供区分 (ソリューション・サービス)・エンドユーザー産業 (旅行・ホスピタリティ)・地域別の機会および予測 (2018-2032年)

世界の観光業向けAI市場の規模は、2025年から2032年の予測期間中にCAGR 17.31％で成長し、2024年の30億8,000万米ドルから、2032年には110億5,000万米ドルに達すると予測されています。

パーソナライズされた旅行体験、業務効率化、24時間対応のカスタマーサポートへの需要の高まりが、観光分野におけるAI導入を加速させています。主な成長要因には、即時予約支援のためのチャットボット、ダイナミックプライシングのアルゴリズム、需要予測における予測分析、AI搭載のレコメンデーションエンジン、非接触型技術などが挙げられます。人件費の削減やビッグデータとの統合も市場の成長を後押しし、顧客満足度および企業の収益性の向上に貢献しています。

世界の観光業向けAI市場は、観光産業の拡大と、企業がユーザー支援や効率的なプログラム導入のためにAIを積極的に活用する傾向の高まりにより成長しています。チャットボット、予測分析、レコメンデーションエンジンなどのAI機能により、旅行のパーソナライズが実現しつつあり、一部ではそれが標準化される兆しも見えています。パーソナライズされた体験へのニーズとコスト削減、競争力維持の必要性がAI導入を広く後押ししています。旅程の提案から現地でのサポートに至るまで、AIは航空会社、ホテル、旅行プラットフォームにおけるサービス提供の形を変えつつあります。技術革新のスピードが増す中、この市場は今後さらに成長すると予測されます。

当レポートでは、世界の観光業向けAIの市場を調査し、市場の定義と概要、市場規模の推移・予測、各種区分別の詳細分析、産業構造、市場成長への影響因子の分析、競合情勢、主要企業のプロファイルなどをまとめています。

目次

第1章 プロジェクトの範囲と定義

第2章 調査手法

第3章 米国の関税の影響

第4章 エグゼクティブサマリー

第5章 顧客の声

• 回答者の人口統計
• ブランド認知度
• 購入決定時に考慮される要素
• 購入後に直面する課題

第6章 世界の観光業向けAI市場の展望

• 市場規模の分析・予測
• 市場シェアの分析・予測
  • 提供区分別
    • ソリューション
    • サービス
  • エンドユーザー産業別
    • 旅行
    • ホスピタリティ
  • 地域別
    • 北米
    • 欧州
    • アジア太平洋
    • 南米
    • 中東・アフリカ
  • 企業シェア分析 (上位5社およびその他)
• 市場マップ分析

第7章 北米の観光業向けAI市場の展望

• 市場規模の分析・予測
• 市場シェアの分析・予測
• 国別市場評価
  • カナダ
  • メキシコ

第8章 欧州の観光業向けAI市場の展望

• ドイツ
• フランス
• イタリア
• 英国
• ロシア
• オランダ
• スペイン
• トルコ
• ポーランド

第9章 アジア太平洋の観光業向けAI市場の展望

• インド
• 中国
• 日本
• オーストラリア
• ベトナム
• 韓国
• インドネシア
• フィリピン

第10章 南米の観光業向けAI市場の展望

• ブラジル
• アルゼンチン

第11章 中東・アフリカの観光業向けAI市場の展望

• サウジアラビア
• UAE
• 南アフリカ

第12章 ポーターのファイブフォース分析

第13章 PESTLE分析

第14章 市場力学

• 市場促進要因
• 市場の課題

第15章 市場動向・展開

第16章 ケーススタディ

第17章 競合情勢

• 上位5社の競合マトリックス
• 上位5社のSWOT分析
• 上位10社の情勢
  • Snowflake Inc.
  • SAS Institute Inc.
  • Salesforce, Inc.
  • Sabre GLBL Inc.
  • NVIDIA Corporation
  • Microsoft Corporation
  • IBM Corporation
  • Huawei Technologies Co., Ltd.
  • Appier Inc.
  • Amazon Web Services, Inc.

第18章 戦略的提言

第19章 調査会社について・免責事項

List of Tables

• Table 1. Competition Matrix of Top 5 Market Leaders
• Table 2. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 3. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. Global AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 2. Global AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 3. Global AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 4. Global AI in Tourism Market Share (%), By Region, 2018-2032F
• Figure 5. North America AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 6. North America AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 7. North America AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 8. North America AI in Tourism Market Share (%), By Country, 2018-2032F
• Figure 9. United States AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 10. United States AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 11. United States AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 12. Canada AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 13. Canada AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 14. Canada AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 15. Mexico AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 16. Mexico AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 17. Mexico AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 18. Europe AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 19. Europe AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 20. Europe AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 21. Europe AI in Tourism Market Share (%), By Country, 2018-2032F
• Figure 22. Germany AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 23. Germany AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 24. Germany AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 25. France AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 26. France AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 27. France AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 28. Italy AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 29. Italy AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 30. Italy AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 31. United Kingdom AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 32. United Kingdom AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 33. United Kingdom AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 34. Russia AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 35. Russia AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 36. Russia AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 37. Netherlands AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 38. Netherlands AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 39. Netherlands AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 40. Spain AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 41. Spain AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 42. Spain AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 43. Turkey AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 44. Turkey AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 45. Turkey AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 46. Poland AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 47. Poland AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 48. Poland AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 49. South America AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 50. South America AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 51. South America AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 52. South America AI in Tourism Market Share (%), By Country, 2018-2032F
• Figure 53. Brazil AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 54. Brazil AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 55. Brazil AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 56. Argentina AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 57. Argentina AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 58. Argentina AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 59. Asia-Pacific AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 60. Asia-Pacific AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 61. Asia-Pacific AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 62. Asia-Pacific AI in Tourism Market Share (%), By Country, 2018-2032F
• Figure 63. India AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 64. India AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 65. India AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 66. China AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 67. China AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 68. China AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 69. Japan AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 70. Japan AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 71. Japan AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 72. Australia AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 73. Australia AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 74. Australia AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 75. Vietnam AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 76. Vietnam AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 77. Vietnam AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 78. South Korea AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 79. South Korea AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 80. South Korea AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 81. Indonesia AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 82. Indonesia AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 83. Indonesia AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 84. Philippines AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 85. Philippines AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 86. Philippines AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 87. Middle East & Africa AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 88. Middle East & Africa AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 89. Middle East & Africa AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 90. Middle East & Africa AI in Tourism Market Share (%), By Country, 2018-2032F
• Figure 91. Saudi Arabia AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 92. Saudi Arabia AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 93. Saudi Arabia AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 94. UAE AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 95. UAE AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 96. UAE AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 97. South Africa AI in Tourism Market, By Value, In USD Billion, 2018-2032F
• Figure 98. South Africa AI in Tourism Market Share (%), By Offerings, 2018-2032F
• Figure 99. South Africa AI in Tourism Market Share (%), By End-user Industry, 2018-2032F
• Figure 100. By Offerings Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 101. By End-user Industry Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 102. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2024

Global AI in tourism market is projected to witness a CAGR of 17.31% during the forecast period 2025-2032, growing from USD 3.08 billion in 2024 to USD 11.05 billion in 2032. Rising demand for personalized travel experiences, operational efficiency, and 24/7 customer support fuels AI adoption. Key drivers include chatbots for instant booking assistance, dynamic pricing algorithms, predictive analytics for demand forecasting, AI-powered recommendation engines, and contactless technologies. Labor cost reduction and big data integration further accelerate market growth, enhancing both customer satisfaction and business profitability.

The global AI in tourism market is growing due to an expansion in the tourism industry and the growing inclination of companies towards AI to help users and employ effective programs. AI features, including chatbots, predictive analytics and recommendation engines, are making personalized travel planning possible, and for some, it will become the norm. Widespread adoption is being driven by the requirement for personalized travel experience, as well as the need to cut costs and remain competitive. From itinerary recommendations to in-action support, AI is reshaping the delivery of services throughout airlines, hotels and travel platforms. With the speed of innovation increasing, the market is likely to grow further in the years ahead.

For example, in December 2024, Wipro Limited teamed up with Siam AI Corporation Co., Ltd., and NVIDIA Corporation (NVIDIA AI) to build an AI assistant for the Tourism Authority of Thailand (TAT). The new solution is designed to improve services provided by the Thai tourism industry with help that is tailored to travellers, in real time. Using innovative AI technology from NVIDIA, the assistant can comprehend and respond to natural language queries, assisting travellers with local recommendations and answers to frequent questions, as well as general travel guidance.

Increasing Operational Excellence Drives Global AI in Tourism Market

AI systems make operations more efficient by automating simple processes, such as booking, check-in, and customer service. This level of automation means that staff can focus on doing more worthy things; in other words, it results in faster service turnarounds and cost savings. Cut down on repetitive tasks to drive efficiency and allocate resources more effectively. In return, staff can concentrate on improving customer experience overall, creating a much faster and more responsive environment. The use of AI is not just about streamlining processes; it is about offering space for teams to innovate and improve the level of service they provide and in these corporate times, it is essential for any business that wants to compete in a planetary marketplace.

For instance, in May 2024, IBM Corporation and Salesforce, Inc., announced a collaboration to establish an open, trustworthy AI-enabled data platform to enable operational excellence across sectors such as tourism. Leveraging IBM's watsonx AI and Salesforce's Einstein 1 Platform, this partnership will help companies to connect with their customers in a whole new way by embedding relevant insights and recommendations into every customer interaction. By bringing IBM's state-of-the-art AI models and LLMs on Salesforce's platform, travel businesses can deliver highly tailored customer experiences and make better business decisions.

Improved Customer Experience Influencing the Global Market

AI can drastically improve customer experience by delivering unique experience with personalized suggestions and itineraries based on specific preferences. With this degree of customization, you can encourage engagement and contentment with your customers. Moreover, chatbots and virtual assistants (powered by AI) help in providing customers with prompt and effective responses around the clock, answering their queries and supporting them in the case of an issue. AI can help businesses offer more personalized and conversational experiences to make customers feel heard and appreciated. AI, in the end, changes how businesses interact with their customers, creating more meaningful and maybe more fun interactions.

For example, in April 2024, Sabre GLBL Inc. and InterparkTriple Corp. launched a strategic technology partnership to align with the power of Sabre Travel AI. Through this collaboration, Interpark Triple's travel solutions will be heightened by the incorporation of Sabre's sophisticated, new AI-powered technology for a more personalized, dynamic, and seamless travel experience. Powered by Sabre Travel AI, the alliance will help enhance traveller experience, streamline operations, and improve decision support with the capabilities of the future of booking and itinerary management.

Solution Segment to Witness Massive Growth in the Global AI in Tourism Market

The solution segment is expected to grow significantly in the global AI in tourism market, as there is a growing demand to streamline software and AI tools to automate, personalize, and analyze the data. In addition, companies increasingly realize the advantages of these technologies, which have rapidly developed with an extremely high demand for cutting-edge AI solutions in the travel industry that continues to shape the future of travel and hospitality.

For example, in July 2023, Seibu Railway unveiled an AI-based translation device, bringing a tectonic shift in the tourism industry and is one of the prominent innovations in the emerging solution segment of the global AI in tourism industry. This see-through codec, created by Toppan, converts spoken words into live text in languages such as English, Chinese and Thai. This feature can assist station employees to cope with international travels with ease, the language problem, and improve their service. It's an excellent illustration of how AI-powered solutions are revolutionizing the travel industry and making it simpler for customers to access services.

North America Leads in Global AI in Tourism Market

North America is leading the global AI in tourism market due to the mature technology infrastructure and digital adoption across the region. The area has taken the lead in the adoption of AI-enabled solutions throughout the tourism value chain, from virtual travel assistants, smart booking engines, and real-time language translation, to predictive analytics so demand can be predicted. Smartphone penetration and the adoption of early technology also allow the smooth integration of AI tools. Further, powerful investments by private and public, as well as strong research and innovation clusters in the U.S. and Canada, are still pushing the boundaries. With the growth of smart tourism initiatives and the maturation of AI regulations, the lead of North America is anticipated to become even more apparent.

For example, in May 2024, Korean Air Lines Co., Ltd. and Amazon Web Services Inc. (AWS) signed an agreement to launch an AI-based cloud platform for improving customer service in the tourism-related industries. The new system with smart voice and chatbots provides faster, individual support for travellers. By running its operations on AWS, Korean Air aims to enhance operational efficiency and improve passengers' travel experience, providing faster, more responsive service for both domestic and international travellers.

Impact of U.S. Tariffs on Global AI in Tourism Market

U.S. tariffs have begun to roil the world's artificial intelligence and tourism sectors. Semiconductors, which form the foundation of A.I., remain mostly intact, but cost increases for materials used in data center construction are starting to slow the deployment of AI tools such as travel assistants and booking bots. On the tourism side, international travelers are opting less and less to come to the U.S. because of expensive prices and draconian policies. Meanwhile, destinations such as Japan and Thailand are catching on, as tourists and tech investment continue to look abroad.

Key Players Landscape and Outlook

The tourism AI market is the next thing to watch out for, as more people seek their travel to be personalized, operations to be efficient, and customer service to be seamless. Travelers are increasingly demanding personalized and insightful conversations from brands, and AI can efficiently handle tasks like real-time itinerary updates, smart booking systems, flexible pricing, smart customer support and so on. Machine learning, natural language processing, and predictive analytics are redesigning the way travel services are provided. As global tourism and digital adoption continue to rise, the market with an increase in global tourism and digital penetration, the market is anticipated to register a steady growth, especially in the smart tourism and digital transformation prevalent regions.

For example, in September 2024, Snowflake Inc. announced that its AI Data Cloud is enabling verticals, such as travel and hospitality, to transform by putting AI into action. It fosters collaboration across departments and with partners, enabling easier data sharing. And more importantly, its changing what businesses know and how they engage with customers, creating more personalized, responsive experiences that travelers value. It is a smarter, more connected way to advance the industry.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Impact of U.S. Tariffs

4. Executive Summary

5. Voice of Customers

• 5.1. Respondent Demographics
• 5.2. Brand Awareness
• 5.3. Factors Considered in Purchase Decisions
• 5.4. Challenges Faced Post Purchase

6. Global AI in Tourism Market Outlook, 2018-2032F

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Offerings
    • 6.2.1.1. Solutions
      • 6.2.1.1.1. Booking Management System
      • 6.2.1.1.2. Virtual Assistant and Chatbots
      • 6.2.1.1.3. Pricing and Revenue Management
      • 6.2.1.1.4. Customer Experience Management
      • 6.2.1.1.5. Security and Surveillance System
      • 6.2.1.1.6. Others
    • 6.2.1.2. Services
      • 6.2.1.2.1. Professional Services
      • 6.2.1.2.2. Managed Services
  • 6.2.2. By End-user Industry
    • 6.2.2.1. Travel Industry
      • 6.2.2.1.1. Aviation
      • 6.2.2.1.2. Car Rental and Mobility Providers
      • 6.2.2.1.3. Others
    • 6.2.2.2. Hospitality Industry
      • 6.2.2.2.1. Hotels
      • 6.2.2.2.2. Resorts and Theme Parks
      • 6.2.2.2.3. Cruise Line Operators
      • 6.2.2.2.4. Others
  • 6.2.3. By Region
    • 6.2.3.1. North America
    • 6.2.3.2. Europe
    • 6.2.3.3. Asia-Pacific
    • 6.2.3.4. South America
    • 6.2.3.5. Middle East and Africa
  • 6.2.4. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 6.3. Market Map Analysis, 2024
  • 6.3.1. By Offerings
  • 6.3.2. By End-user Industry
  • 6.3.3. By Region

7. North America AI in Tourism Market Outlook, 2018-2032F

• 7.1. Market Size Analysis & Forecast
  • 7.1.1. By Value
• 7.2. Market Share Analysis & Forecast
  • 7.2.1.1. By Offerings
    • 7.2.1.1.1. Solutions
      • 7.2.1.1.1.1. Booking Management System
      • 7.2.1.1.1.2. Virtual Assistant and Chatbots
      • 7.2.1.1.1.3. Pricing and Revenue Management
      • 7.2.1.1.1.4. Customer Experience Management
      • 7.2.1.1.1.5. Security and Surveillance System
      • 7.2.1.1.1.6. Others
    • 7.2.1.1.2. Services
      • 7.2.1.1.2.1. Professional Services
      • 7.2.1.1.2.2. Managed Services
  • 7.2.2. By End-user Industry
    • 7.2.2.1. Travel Industry
      • 7.2.2.1.1. Aviation
      • 7.2.2.1.2. Car Rental and Mobility Providers
      • 7.2.2.1.3. Others
    • 7.2.2.2. Hospitality Industry
      • 7.2.2.2.1. Hotels
      • 7.2.2.2.2. Resorts and Theme Parks
      • 7.2.2.2.3. Cruise Line Operators
      • 7.2.2.2.4. Others
  • 7.2.3. By Country
    • 7.2.3.1. United States
    • 7.2.3.2. Canada
    • 7.2.3.3. Mexico
• 7.3. Country Market Assessment
  • 7.3.1. United States AI in Tourism Market Outlook, 2018-2032F
    • 7.3.1.1. Market Size Analysis & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share Analysis & Forecast
      • 7.3.1.2.1. By Offerings
        • 7.3.1.2.1.1. Solutions
        • 7.3.1.2.1.1.1. Booking Management System
        • 7.3.1.2.1.1.2. Virtual Assistant and Chatbots
        • 7.3.1.2.1.1.3. Pricing and Revenue Management
        • 7.3.1.2.1.1.4. Customer Experience Management
        • 7.3.1.2.1.1.5. Security and Surveillance System
        • 7.3.1.2.1.1.6. Others
        • 7.3.1.2.1.2. Services
        • 7.3.1.2.1.2.1. Professional Services
        • 7.3.1.2.1.2.2. Managed Services
      • 7.3.1.2.2. By End-user Industry
        • 7.3.1.2.2.1. Travel Industry
        • 7.3.1.2.2.1.1. Aviation
        • 7.3.1.2.2.1.2. Car Rental and Mobility Providers
        • 7.3.1.2.2.1.3. Others
        • 7.3.1.2.2.2. Hospitality Industry
        • 7.3.1.2.2.2.1. Hotels
        • 7.3.1.2.2.2.2. Resorts and Theme Parks
        • 7.3.1.2.2.2.3. Cruise Line Operators
        • 7.3.1.2.2.2.4. Others

All segments will be provided for all regions and countries covered

8. Europe AI in Tourism Market Outlook, 2018-2032F

• 8.1. Germany
• 8.2. France
• 8.3. Italy
• 8.4. United Kingdom
• 8.5. Russia
• 8.6. Netherlands
• 8.7. Spain
• 8.8. Turkey
• 8.9. Poland

9. Asia-Pacific AI in Tourism Market Outlook, 2018-2032F

• 9.1. India
• 9.2. China
• 9.3. Japan
• 9.4. Australia
• 9.5. Vietnam
• 9.6. South Korea
• 9.7. Indonesia
• 9.8. Philippines

10. South America AI in Tourism Market Outlook, 2018-2032F

• 10.1. Brazil
• 10.2. Argentina

11. Middle East and Africa AI in Tourism Market Outlook, 2018-2032F

• 11.1. Saudi Arabia
• 11.2. UAE
• 11.3. South Africa

12. Porter's Five Forces Analysis

13. PESTLE Analysis

14. Market Dynamics

• 14.1. Market Drivers
• 14.2. Market Challenges

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

• 17.1. Competition Matrix of Top 5 Market Leaders
• 17.2. SWOT Analysis for Top 5 Players
• 17.3. Key Players Landscape for Top 10 Market Players
  • 17.3.1. Snowflake Inc.
    • 17.3.1.1. Company Details
    • 17.3.1.2. Key Management Personnel
    • 17.3.1.3. Key Products/Services Offered
    • 17.3.1.4. Key Financials (As Reported)
    • 17.3.1.5. Key Market Focus and Geographical Presence
    • 17.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 17.3.2. SAS Institute Inc.
  • 17.3.3. Salesforce, Inc.
  • 17.3.4. Sabre GLBL Inc.
  • 17.3.5. NVIDIA Corporation
  • 17.3.6. Microsoft Corporation
  • 17.3.7. IBM Corporation
  • 17.3.8. Huawei Technologies Co., Ltd.
  • 17.3.9. Appier Inc.
  • 17.3.10. Amazon Web Services, Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

18. Strategic Recommendations

19. About Us and Disclaimer