The Global Generative Artificial Intelligence in Tourism Market size was valued at USD 3647.43 Million in 2023 and the total Generative Artificial Intelligence in Tourism revenue is expected to grow at a CAGR of 17.5% from 2024 to 2030, reaching nearly USD 11278.53 Mn. Generative Artificial Intelligence (GAI) has brought revolutionary changes to the world, enabling businesses to create new experiences by combining virtual and physical worlds. The hospitality and tourism sector has witnessed phenomenal growth in customer numbers during the post-pandemic times. This growth has been accompanied by the use of technologies in customer interface and backend activities, including the adoption of self-serving technologies. In the tourism industry, generative AI is now widely adopted to generate personalized travel recommendations, create virtual tours and immersive experiences, develop interactive chatbots for customer service, generate descriptive and engaging content for travel websites, and assist in real-time translation and interpretation services for tourists, etc. As a result, the use of generative AI in tourism has the potential to enhance customer experiences, streamline operations, and provide innovative solutions to various challenges faced by the industry. Thus, the Generative Artificial Intelligence in Tourism Market is witnessing significant growth in recent years and is expected to generate lucrative growth prospects throughout the forecast period.To know about the Research Methodology :- Request Free Sample Report
Generative Artificial Intelligence in Tourism Market Competitive Landscapes:
The Generative Artificial Intelligence in Tourism Market is characterized by the presence of various technology companies, startups, and established players all across the world. These market players offer a wide range of generative AI (GAI) solutions and compete in terms of innovation, product/ service features, market reach, and customer satisfaction. GAI, which emerged as a specialized area of study within artificial intelligence, enables individuals to generate fresh content across various mediums, including text, images, audio, and videos. This technology assists users in making informed decisions regarding tourism destinations, assessing the weather conditions of different regions, obtaining feedback on restaurants, and more. As a result, it has attracted the interest of various tourism companies to adopt the GAI. OpenAI’s Codex, DALL-E, and ChatGPT are some of the tools widely used by the end-user. ChatGPT, a chatbot capable of generating articles, is a prominent example of this technology. Its capability to create high-quality content is both remarkable and a little scary. ChatGPT, developed by OpenAI—a research organization backed by Microsoft—has garnered significant attention since its unveiling in November 2022. The introduction of GAI has contributed to the perception of artificial intelligence becoming increasingly prevalent in mainstream applications. Notably, Google's release of the widely successful ChatGPT has prompted them to unveil a new experimental service called Bard. This innovative offering showcases the potential of AI to revolutionize the search experience by delivering more sophisticated and detailed responses to user queries. The same week, Microsoft also revealed a new Bing-powered version by ChatGPT, designed to deliver users with more accurate and timely search results. Instead of relying on the traditional ladder approach to search results, ChatGPT takes a request, scans for answers, and provides a response that includes citations to the sources. As a result, such advancement by key players makes generative artificial intelligence (AI) in the Tourism industry highly competitive.
Company Differentiator Focus area(s) Company valuation/ Enterprise value Products OpenAI Best Overall A. Language modeling B. Content generation and editing Private company; estimated at around $29 billion. 1. GPT-3 2. GPT-4 3. ChatGPT Plus 4. DALL-E 5. Whisper 6. InstructGPT Hugging Face Best for Community-Driven AI Development A. Generative AI forums B. Open-source AI model development Private company; estimated at around $2 billion. 1. BLOOM 2. Expert Acceleration Program 3. Private Hub 4. Inference Endpoints 5. AutoTrain 6. Hardware Alphabet (Google) Best for Scalability A. Generative AI model development and deployment B. Application development C. Content generation $1.72 trillion. 1. Generative AI support in Vertex AI 2. Generative AI App Builder 3. Generative AI in Workspace 4. Bard Microsoft Best for Business Operations and Productivity A. Content generation B. Generative AI-powered search C. Code development and support D. Cybersecurity $2.25 trillion. 1. Microsoft 365 Copilot 2. Microsoft Security Copilot 3. GitHub Copilot 4. AI-Enhanced Bing and Edge Cohere Best for Natural Language Processing A. Natural language processing and modeling B. Enterprise conversational AI Private company; estimated at around $6 billion. 1. Embed 2. Neural Search 3. Summarize 4. Generate 5. Classify Generative Artificial Intelligence in Tourism Market Dynamics:
Growing Demand for Personalized Travel Experiences The tourism industry is human- and service-oriented by nature. Generative AI is poised to transform the travel industry. In the past few weeks, there have been remarkable advancements in Generative AI that have sparked tremendous excitement and enthusiasm within the tech industry. Travelers nowadays seek unique and customized experiences that align with their individual preferences. Generative AI plays a crucial role in fulfilling this demand by analyzing large volumes of data, including customer preferences, demographics, and historical travel patterns. Generative AI uses the available data to produce customized recommendations, itineraries, and suggestions that are personalized to meet the unique requirements and preferences of individual travelers. This ability to create tailored travel experiences is expected to be a key driver for the adoption and implementation of generative AI in the tourism industry, thereby driving the Generative Artificial Intelligence in Tourism Market growth. This factor is further expected to enhance customer satisfaction and helps businesses differentiate themselves in a competitive market. Chatbots have emerged and proven to be a valuable customer service asset both during the booking process and in responding and addressing to recurring questions from leisure. This is particularly essential in an industry such as hospitality and tourism which is expected to be on 24/7 and requires continuous support. OpenAI developed a model ChatGPT, a chatbot that uses the GPT-3 language model and is adept at imitating human conversational versatility when delivering answers. It is an enhanced and intelligent version of a search engine, eliminating the need for users to navigate through countless blue links, open multiple tabs, and sift through information to find what they need. Instead, it interprets user queries, understands their preferences and desires, and provides concise and comprehensive responses by drawing upon the vast information available on the web. This is expected to be particularly valuable for users searching for travel recommendations, where the system can deliver tailored suggestions based on their specific needs and interests.Increasing adoption of generative artificial intelligence (AI) in the tourism industry The use of generative artificial intelligence technologies in the tourism industry is gradually becoming popular in recent days. Tourism companies are now making investments in these technologies to gain a competitive edge and enhance operational efficiency. Generative artificial intelligence (AI) is becoming increasingly essential for travel planning in the tourism and travel industry and attracts destination marketing organizations' attention as an essential element in their marketing activities. Those who will be traveling using generative AI to make a travel plan consisting of accommodation, attractions, tours, restaurants, and activities in the region and decide on the regions they will travel to by the generative artificial intelligence recommendations. In addition, generative artificial intelligence applications can also be used by businesses providing consultancy services in the tourism and travel industry. These companies provide recommendations similar to search engines, but they differentiate themselves by working closely with travel and accommodation businesses. For instance, AltexSoft, a B2B company based in Ukraine, collaborates closely with the travel and hospitality industry to create customized software and systems. They leverage their data and machine learning teams to develop solutions and offer consulting services to tourism businesses. Their expertise lies in areas such as booking and reservation management, travel management, and airline management. They utilize natural language processing, automation, and machine learning models to enhance their offerings and provide valuable insights to their clients. As a result, the increasing adoption of generative AI by the travel business is a major growth factor driving the Generative Artificial Intelligence in Tourism Market growth.
Implications for Administrative and Clerical Skills The advancement of robotics and automation has the potential to diminish the value of administrative and clerical skills traditionally performed by humans. Tasks like generating advertising copy and human resources letters can now be carried out by robots. Experts in the automotive industry anticipate that as much as 70% of computer-based work could be automated in the near future. Writing assistants in the form of chatbots are increasingly trusted by technical experts. Although this automation is not expected to eliminate jobs, outsourcing such tasks could motivate human employees to focus on more productive endeavors. The ChatGPT language model, with its ability to process natural language, has the potential to replace humans in simpler tasks. It can assist programmers in identifying common code errors and even facilitate the creation of meeting emails. The implications of ChatGPT's capabilities are significant and far-reaching.
Generative Artificial Intelligence in Tourism Market Segment Analysis:
By application, the personalized recommendations segment dominated the global Generative Artificial Intelligence in Tourism Market with the highest market share of 34.75% in 2023. The segment is further expected to grow at a CAGR of 26.4% and maintain its dominance by 2030. Personalized recommendations leverage generative AI algorithms to analyze user preferences, behavior, and historical data to provide tailored suggestions and recommendations for various aspects of the tourism industry, including accommodations, attractions, restaurants, and activities. This allows users to receive customized suggestions that align with their interests and preferences, enhancing their overall travel experience. Nowadays, the rapidly developed online tourism industry and the increasingly serious phenomenon of information overload have some studies putting forward opinions that the hedonic dimension of quality is important in adding value for customers. So personalized recommendations on tourism attract more attention by providing potential travelers with online tourism products that fit their needs and preferences, then further help to make travel decisions more accurately and quickly. Therefore, the research on the application of personalized recommendations in tourism is beginning to show a sustained increase.The virtual tours segment is expected to grow at a rapid CAGR and offer lucrative growth opportunities for the Generative Artificial Intelligence in Tourism Market players during the forecast period. Virtual tours are also expected to utilize generative AI to a significant extent. Generative AI technologies enable the creation of immersive and interactive virtual tour experiences, allowing users to explore destinations, landmarks, museums, or hotels virtually. These virtual tours often incorporate generative AI-generated content, such as realistic visuals, 3D reconstructions, and audio guides, providing users with a rich and engaging virtual travel experience. The Itinerary generation segment is expected to grow at a moderate CAGR during the forecast period. By analyzing various data sources, including user preferences, time constraints, budget considerations, and destination-specific information, generative AI algorithms generate optimized travel itineraries. These itineraries include suggestions for sightseeing, activities, transportation, and accommodations, helping users plan their trips efficiently. Thereby, increasing adoption of GAI in itinerary generation is expected to support the segment growth.
Generative Artificial Intelligence in Tourism Market Regional Insights:
North America held the largest Generative Artificial Intelligence in Tourism Market share of over 40% in terms of revenue and led the global generative artificial intelligence (AI) market in 2023. The region is further expected to grow at a CAGR of 25.7% during the forecast period and maintain its dominance by 2030. The significant presence of key companies, advanced infrastructure, and increasing adoption of the latest technologies by region, contributes to the growth of the market. The region benefits from a strong ecosystem of AI startups and research institutions, driving advancements in generative AI applications for personalized recommendations, virtual tours, and content generation. For instance, OpenAI, Founded in 2015, is a leading AI research organization known for developing advanced language models like ChatGPT. Their research and advancements in natural language processing have significant implications for various tasks in the tourism industry, including content generation and personalized recommendations. In addition, Key players in the generative artificial intelligence (AI) market are investing in research and development activities, propelling the market's growth during the forecast period.The United States and China had the greatest number of cross-country collaborations in AI publications from 2010 to 2023, although the pace of collaboration has slowed. This factor is further expected to boost the Generative Artificial Intelligence in Tourism Market growth. The number of AI research collaborations between the United States and China increased roughly 4 times since 2010 and was 2.5 times greater than the collaboration totals of the next nearest country pair, the United Kingdom and China. However, the total number of U.S.-China collaborations only increased by 2.1% from 2022 to 2023, the smallest year-over-year growth rate since 2010. The United States is still ahead in terms of AI conferences and repository citations, but those leads are slowly eroding. Still, the majority of the world’s large language and multimodal models (54% in 2023) are produced by American institutions.
Generative Artificial Intelligence in Tourism Market Scope: Inquire before buying
Generative Artificial Intelligence in Tourism Market Report Coverage Details Base Year: 2023 Forecast Period: 2024-2030 Historical Data: 2018 to 2023 Market Size in 2023: US $ 3647.43 Mn. Forecast Period 2024 to 2030 CAGR: 17.5% Market Size in 2030: US $ 11278.53 Mn. Segments Covered: by Application 1. Personalized Recommendations 2. Virtual Tours 3. Itinerary Generation 4. Content Generation 5. Others by Platform 1. Web-based 2. Mobile Applications 3. Others by End User 1. Leisure Travelers 2. Business Travelers 3. Travel Agencies 4. Others Generative Artificial Intelligence in Tourism Market by Region:
North America (United States, Canada, and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria, and the Rest of Europe) Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan, and the Rest of APAC) Middle East and Africa (South Africa, GCC, Egypt, Nigeria, and the Rest of ME&A) South America (Brazil, Argentina Rest of South America)Generative Artificial Intelligence in Tourism Market Key Players:
1. OpenAI (United States) 2. Hugging Face (United States) 3. Alphabet (Google) (United States) 4. Microsoft (United States) 5. Cohere (United States) 6. Anthropic (United States) 7. Jasper (United States) 8. Glean (United States) 9. Synthesis AI (United States) 10. Stability AI (United States) 11. Lightricks (Israel) 12. Inflection AI (United States) FAQs: 1. What are the growth drivers for Generative Artificial Intelligence in Tourism Market? Ans. The Growing Demand for Personalized Travel Experiences, is expected to be the major driver for Generative Artificial Intelligence in Tourism Market. 2. What is the major restraint for the Generative Artificial Intelligence in Tourism Market growth? Ans. Rising ethical concerns are expected to be the major restraining factor for the Generative Artificial Intelligence in Tourism Market growth. 3. Which region is expected to lead the global Generative Artificial Intelligence in Tourism Market during the forecast period? Ans. North America is expected to lead the global Generative Artificial Intelligence in Tourism Market during the forecast period. 4. What is the projected market size & growth rate of Generative Artificial Intelligence in Tourism Market? Ans. The Global Generative Artificial Intelligence in Tourism Market size was valued at USD 3647.43 Million in 2023 and the total Generative Artificial Intelligence (AI) in Tourism revenue is expected to grow at a CAGR of 17.5% from 2024 to 2030, reaching nearly USD 11278.53 Million. 5. What segments are covered in the Generative Artificial Intelligence in Tourism Market report? Ans. The segments covered in the Generative Artificial Intelligence in Tourism Market report areApplications, Platforms, End-user, and Regions.
1. Generative Artificial Intelligence in Tourism Market Introduction 1.1. Study Assumption and Market Definition 1.2. Scope of the Study 1.3. Executive Summary 2. Generative Artificial Intelligence in Tourism Market: Dynamics 2.1. Generative Artificial Intelligence in Tourism Market Trends by Region 2.1.1. North America Generative Artificial Intelligence in Tourism Market Trends 2.1.2. Europe Generative Artificial Intelligence in Tourism Market Trends 2.1.3. Asia Pacific Generative Artificial Intelligence in Tourism Market Trends 2.1.4. Middle East and Africa Generative Artificial Intelligence in Tourism Market Trends 2.1.5. South America Generative Artificial Intelligence in Tourism Market Trends 2.2. Generative Artificial Intelligence in Tourism Market Dynamics by Region 2.2.1. North America 2.2.1.1. North America Generative Artificial Intelligence in Tourism Market Drivers 2.2.1.2. North America Generative Artificial Intelligence in Tourism Market Restraints 2.2.1.3. North America Generative Artificial Intelligence in Tourism Market Opportunities 2.2.1.4. North America Generative Artificial Intelligence in Tourism Market Challenges 2.2.2. Europe 2.2.2.1. Europe Generative Artificial Intelligence in Tourism Market Drivers 2.2.2.2. Europe Generative Artificial Intelligence in Tourism Market Restraints 2.2.2.3. Europe Generative Artificial Intelligence in Tourism Market Opportunities 2.2.2.4. Europe Generative Artificial Intelligence in Tourism Market Challenges 2.2.3. Asia Pacific 2.2.3.1. Asia Pacific Generative Artificial Intelligence in Tourism Market Drivers 2.2.3.2. Asia Pacific Generative Artificial Intelligence in Tourism Market Restraints 2.2.3.3. Asia Pacific Generative Artificial Intelligence in Tourism Market Opportunities 2.2.3.4. Asia Pacific Generative Artificial Intelligence in Tourism Market Challenges 2.2.4. Middle East and Africa 2.2.4.1. Middle East and Africa Generative Artificial Intelligence in Tourism Market Drivers 2.2.4.2. Middle East and Africa Generative Artificial Intelligence in Tourism Market Restraints 2.2.4.3. Middle East and Africa Generative Artificial Intelligence in Tourism Market Opportunities 2.2.4.4. Middle East and Africa Generative Artificial Intelligence in Tourism Market Challenges 2.2.5. South America 2.2.5.1. South America Generative Artificial Intelligence in Tourism Market Drivers 2.2.5.2. South America Generative Artificial Intelligence in Tourism Market Restraints 2.2.5.3. South America Generative Artificial Intelligence in Tourism Market Opportunities 2.2.5.4. South America Generative Artificial Intelligence in Tourism Market Challenges 2.3. PORTER’s Five Forces Analysis 2.4. PESTLE Analysis 2.5. Technology Roadmap 2.6. Regulatory Landscape by Region 2.6.1. North America 2.6.2. Europe 2.6.3. Asia Pacific 2.6.4. Middle East and Africa 2.6.5. South America 2.7. Key Opinion Leader Analysis For Generative Artificial Intelligence in Tourism Industry 2.8. Analysis of Government Schemes and Initiatives For Generative Artificial Intelligence in Tourism Industry 2.9. Generative Artificial Intelligence in Tourism Market Trade Analysis 2.10. The Global Pandemic Impact on Generative Artificial Intelligence in Tourism Market 3. Generative Artificial Intelligence in Tourism Market: Global Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million) 2023-2030 3.1. Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 3.1.1. Personalized Recommendations 3.1.2. Virtual Tours 3.1.3. Itinerary Generation 3.1.4. Content Generation 3.1.5. Others 3.2. Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 3.2.1. Web-based 3.2.2. Mobile Applications 3.2.3. Others 3.3. Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 3.3.1. Leisure Travelers 3.3.2. Business Travelers 3.3.3. Travel Agencies 3.3.4. Others 3.4. Generative Artificial Intelligence in Tourism Market Size and Forecast, by Region (2023-2030) 3.4.1. North America 3.4.2. Europe 3.4.3. Asia Pacific 3.4.4. Middle East and Africa 3.4.5. South America 4. North America Generative Artificial Intelligence in Tourism Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 4.1. North America Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 4.1.1. Personalized Recommendations 4.1.2. Virtual Tours 4.1.3. Itinerary Generation 4.1.4. Content Generation 4.1.5. Others 4.2. North America Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 4.2.1. Web-based 4.2.2. Mobile Applications 4.2.3. Others 4.3. North America Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 4.3.1. Leisure Travelers 4.3.2. Business Travelers 4.3.3. Travel Agencies 4.3.4. Others 4.4. North America Generative Artificial Intelligence in Tourism Market Size and Forecast, by Country (2023-2030) 4.4.1. United States 4.4.1.1. United States Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 4.4.1.1.1. Personalized Recommendations 4.4.1.1.2. Virtual Tours 4.4.1.1.3. Itinerary Generation 4.4.1.1.4. Content Generation 4.4.1.1.5. Others 4.4.1.2. United States Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 4.4.1.2.1. Web-based 4.4.1.2.2. Mobile Applications 4.4.1.2.3. Others 4.4.1.3. United States Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 4.4.1.3.1. Leisure Travelers 4.4.1.3.2. Business Travelers 4.4.1.3.3. Travel Agencies 4.4.1.3.4. Others 4.4.2. Canada 4.4.2.1. Canada Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 4.4.2.1.1. Personalized Recommendations 4.4.2.1.2. Virtual Tours 4.4.2.1.3. Itinerary Generation 4.4.2.1.4. Content Generation 4.4.2.1.5. Others 4.4.2.2. Canada Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 4.4.2.2.1. Web-based 4.4.2.2.2. Mobile Applications 4.4.2.2.3. Others 4.4.2.3. Canada Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 4.4.2.3.1. Leisure Travelers 4.4.2.3.2. Business Travelers 4.4.2.3.3. Travel Agencies 4.4.2.3.4. Others 4.4.3. Mexico 4.4.3.1. Mexico Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 4.4.3.1.1. Personalized Recommendations 4.4.3.1.2. Virtual Tours 4.4.3.1.3. Itinerary Generation 4.4.3.1.4. Content Generation 4.4.3.1.5. Others 4.4.3.2. Mexico Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 4.4.3.2.1. Web-based 4.4.3.2.2. Mobile Applications 4.4.3.2.3. Others 4.4.3.3. Mexico Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 4.4.3.3.1. Leisure Travelers 4.4.3.3.2. Business Travelers 4.4.3.3.3. Travel Agencies 4.4.3.3.4. Others 5. Europe Generative Artificial Intelligence in Tourism Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 5.1. Europe Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 5.1. Europe Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 5.1. Europe Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 5.4. Europe Generative Artificial Intelligence in Tourism Market Size and Forecast, by Country (2023-2030) 5.4.1. United Kingdom 5.4.1.1. United Kingdom Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 5.4.1.2. United Kingdom Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 5.4.1.3. United Kingdom Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 5.4.2. France 5.4.2.1. France Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 5.4.2.2. France Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 5.4.2.3. France Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 5.4.3. Germany 5.4.3.1. Germany Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 5.4.3.2. Germany Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 5.4.3.3. Germany Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 5.4.4. Italy 5.4.4.1. Italy Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 5.4.4.2. Italy Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 5.4.4.3. Italy Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 5.4.5. Spain 5.4.5.1. Spain Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 5.4.5.2. Spain Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 5.4.5.3. Spain Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 5.4.6. Sweden 5.4.6.1. Sweden Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 5.4.6.2. Sweden Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 5.4.6.3. Sweden Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 5.4.7. Austria 5.4.7.1. Austria Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 5.4.7.2. Austria Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 5.4.7.3. Austria Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 5.4.8. Rest of Europe 5.4.8.1. Rest of Europe Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 5.4.8.2. Rest of Europe Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 5.4.8.3. Rest of Europe Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 6. Asia Pacific Generative Artificial Intelligence in Tourism Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 6.1. Asia Pacific Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 6.2. Asia Pacific Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 6.3. Asia Pacific Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 6.4. Asia Pacific Generative Artificial Intelligence in Tourism Market Size and Forecast, by Country (2023-2030) 6.4.1. China 6.4.1.1. China Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 6.4.1.2. China Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 6.4.1.3. China Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 6.4.2. S Korea 6.4.2.1. S Korea Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 6.4.2.2. S Korea Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 6.4.2.3. S Korea Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 6.4.3. Japan 6.4.3.1. Japan Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 6.4.3.2. Japan Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 6.4.3.3. Japan Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 6.4.4. India 6.4.4.1. India Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 6.4.4.2. India Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 6.4.4.3. India Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 6.4.5. Australia 6.4.5.1. Australia Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 6.4.5.2. Australia Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 6.4.5.3. Australia Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 6.4.6. Indonesia 6.4.6.1. Indonesia Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 6.4.6.2. Indonesia Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 6.4.6.3. Indonesia Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 6.4.7. Malaysia 6.4.7.1. Malaysia Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 6.4.7.2. Malaysia Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 6.4.7.3. Malaysia Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 6.4.8. Vietnam 6.4.8.1. Vietnam Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 6.4.8.2. Vietnam Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 6.4.8.3. Vietnam Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 6.4.9. Taiwan 6.4.9.1. Taiwan Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 6.4.9.2. Taiwan Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 6.4.9.3. Taiwan Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 6.4.10. Rest of Asia Pacific 6.4.10.1. Rest of Asia Pacific Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 6.4.10.2. Rest of Asia Pacific Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 6.4.10.3. Rest of Asia Pacific Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 7. Middle East and Africa Generative Artificial Intelligence in Tourism Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 7.1. Middle East and Africa Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 7.2. Middle East and Africa Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 7.3. Middle East and Africa Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 7.4. Middle East and Africa Generative Artificial Intelligence in Tourism Market Size and Forecast, by Country (2023-2030) 7.4.1. South Africa 7.4.1.1. South Africa Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 7.4.1.2. South Africa Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 7.4.1.3. South Africa Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 7.4.2. GCC 7.4.2.1. GCC Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 7.4.2.2. GCC Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 7.4.2.3. GCC Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 7.4.3. Nigeria 7.4.3.1. Nigeria Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 7.4.3.2. Nigeria Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 7.4.3.3. Nigeria Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 7.4.4. Rest of ME&A 7.4.4.1. Rest of ME&A Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 7.4.4.2. Rest of ME&A Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 7.4.4.3. Rest of ME&A Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 8. South America Generative Artificial Intelligence in Tourism Market Size and Forecast by Segmentation (by Value in USD Million) 2023-2030 8.1. South America Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 8.2. South America Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 8.3. South America Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User(2023-2030) 8.4. South America Generative Artificial Intelligence in Tourism Market Size and Forecast, by Country (2023-2030) 8.4.1. Brazil 8.4.1.1. Brazil Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 8.4.1.2. Brazil Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 8.4.1.3. Brazil Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 8.4.2. Argentina 8.4.2.1. Argentina Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 8.4.2.2. Argentina Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 8.4.2.3. Argentina Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 8.4.3. Rest Of South America 8.4.3.1. Rest Of South America Generative Artificial Intelligence in Tourism Market Size and Forecast, by Application (2023-2030) 8.4.3.2. Rest Of South America Generative Artificial Intelligence in Tourism Market Size and Forecast, by Platform (2023-2030) 8.4.3.3. Rest Of South America Generative Artificial Intelligence in Tourism Market Size and Forecast, by End User (2023-2030) 9. Global Generative Artificial Intelligence in Tourism Market: Competitive Landscape 9.1. MMR Competition Matrix 9.2. Competitive Landscape 9.3. Key Players Benchmarking 9.3.1. Company Name 9.3.2. Business Segment 9.3.3. End-user Segment 9.3.4. Revenue (2022) 9.3.5. Company Locations 9.4. Leading Generative Artificial Intelligence in Tourism Market Companies, by market capitalization 9.5. Market Structure 9.5.1. Market Leaders 9.5.2. Market Followers 9.5.3. Emerging Players 9.6. Mergers and Acquisitions Details 10. Company Profile: Key Players 10.1. OpenAI (United States) 10.1.1. Company Overview 10.1.2. Business Portfolio 10.1.3. Financial Overview 10.1.4. SWOT Analysis 10.1.5. Strategic Analysis 10.1.6. Scale of Operation (small, medium, and large) 10.1.7. Details on Partnership 10.1.8. Regulatory Accreditations and Certifications Received by Them 10.1.9. Awards Received by the Firm 10.1.10. Recent Developments 10.2. Hugging Face (United States) 10.3. Alphabet (Google) (United States) 10.4. Microsoft (United States) 10.5. Cohere (United States) 10.6. Anthropic (United States) 10.7. Jasper (United States) 10.8. Glean (United States) 10.9. Synthesis AI (United States) 10.10. Stability AI (United States) 10.11. Lightricks (Israel) 10.12. Inflection AI (United States) 11. Key Findings 12. Industry Recommendations 13. Generative Artificial Intelligence in Tourism Market: Research Methodology 14. Terms and Glossary