# 旅游市场中的生成性人工智能 > 生成性人工智能在旅游市场研究报告，按应用（行程规划、客户服务聊天机器人、个性化旅行推荐、虚拟导游、旅行内容生成）、按技术（自然语言处理、机器学习、数据分析、计算机视觉、语音识别）、按用户类型（旅行社、企业旅行者、休闲旅行者、旅游运营商、冒险旅行爱好者）、按部署模型（基于云的、本地部署）、按服务（咨询服务、支持与维护、培训与发展、集成服务）以及按地区（北美、欧洲、南美、亚太、中东和非洲） - 预测到2035年 - **Forecast Period:** 2025 - 2035 - **CAGR:** 21.17% - **2024:** $ 2.22 Billion - **2025:** $ 2.7 Billion - **2035:** $ 18.39 Billion - **Key Players:** Amadeus IT Group (ES), Expedia Group (US), Booking Holdings (US), Travel Leaders Group (US), Tripadvisor (US), Sabre Corporation (US), Ctrip (CN), Skyscanner (GB), Kayak (US) **Report ID:** MRFR/ICT/29885-HCR · **Pages:** 100 · **Author:** Nirmit Biswas & Aarti Dhapte · **Last Updated:** May 15, 2026 **URL:** https://www.marketresearchfuture.com/reports/generative-ai-in-travel-market-31666 --- ## Market Summary ## **Generative AI in Travel Market Overview** Generative AI in Travel Market is projected to grow from USD **2.69 Billion** in 2025 to USD **15.17 Billion** by 2034, exhibiting a compound annual growth rate (CAGR) of **21.17%** during the forecast period (2025 - 2034).  Additionally, the market size for Generative AI in Travel Market was valued at USD 2.22 billion in 2024. ### **Key Generative AI in Travel Market Trends Highlighted** The Generative AI in Travel Market is witnessing a significant transformation driven by advances in artificial intelligence technology and the increasing demand for personalized travel experiences. Key market drivers such as enhanced customer engagement through tailored recommendations and the automation of bookings and inquiries are shaping the landscape. Travelers now expect AI-driven solutions that anticipate their needs, facilitating smoother planning processes and enabling instant responses to queries. The rise of virtual assistants and chatbots has also streamlined interactions, helping companies improve operational efficiency while simultaneously elevating customer satisfaction. Opportunities to be explored in this market are vast, particularly as businesses look to leverage generative AI for creating dynamic travel itineraries and optimizing pricing strategies. By harnessing the power of AI, travel companies can analyze massive datasets to uncover trends and preferences, creating custom experiences that resonate with individual customers. Furthermore, enhancing the integration of AI with augmented reality can provide immersive travel planning tools, enabling users to visualize destinations before making decisions. Recent trends highlight the increasing incorporation of sentiment analysis and predictive modeling to enhance users’ travel decisions. This shift towards data-driven insights is generating valuable feedback loops that further refine AI algorithms, leading to more intuitive travel applications. The growth in remote working has also influenced travel patterns, prompting innovations in travel solutions catering to digital nomads. As generative AI continues to evolve, it stands poised to redefine the future of travel, reshaping how companies engage with consumers and ultimately transforming the traveler’s journey from start to finish. ** Figure 1: Generative AI in Travel Market size 2025-2034** Source: Primary Research, Secondary Research, _Market Research Future_ Database and Analyst Review ### **Generative AI in Travel Market Drivers** #### **Increased Demand for Personalized Travel Experiences** The rise in consumer expectations for personalized travel experiences is a significant driver behind the growth of Generative AI in Travel Market Industry. As travelers become more discerning, they seek tailored recommendations that cater to their specific preferences and needs. Generative AI technology enables travel companies to analyze vast amounts of data to create highly personalized itineraries, accommodation suggestions, and activity recommendations.By utilizing AI algorithms, businesses can identify individual traveler preferences based on past behaviors, interests, and travel history. This ability to personalize travel experiences not only enhances customer satisfaction but also fosters brand loyalty, as customers are more likely to return to services that understand and meet their needs. Furthermore, the COVID-19 pandemic has altered travel behaviors, with many travelers now prioritizing unique and immersive experiences over traditional tourism.Hence, the demand for customized solutions fueled by generative AI is becoming increasingly necessary for companies wishing to remain competitive in the evolving market landscape. As travelers look forward to more authentic experiences, the ability of generative AI to analyze and respond to complex preferences sets the foundation for enhanced customer engagement. This trend is expected to significantly contribute to market growth as travel businesses invest in AI-driven tools that make their offerings more appealing to a broader audience.Overall, the demand for personalized travel can be seen driving innovation within the Generative AI in Travel Market Industry, encouraging more players to adopt advanced technological solutions to ensure they cater to the needs of modern travelers. #### **Technological Advancements in AI** Technological advancements in AI continue to revolutionize the Generative AI in Travel Market Industry by enhancing operational efficiency and customer experience. Innovations in machine learning, natural language processing, and data analytics have made it possible for travel companies to deploy advanced chatbots and virtual assistants to engage with customers effectively. Such tools handle inquiries, provide instant responses, and support travelers in their journey, not just before but also during and after their trips.This increased efficiency and responsiveness result in increased customer satisfaction and drive retention. Furthermore, aiding customers in real-time decision-making with AI-supported information helps companies stand out in a highly competitive market landscape. #### **Rise in Online Travel Bookings** The surge in online travel bookings is driving growth in the Generative AI in Travel Market Industry. As more consumers opt for digital platforms to plan and book their travel, businesses are under pressure to offer seamless online experiences. Generative AI plays a vital role here, streamlining the booking process, providing relevant suggestions, and minimizing errors. Enhanced online platforms that leverage AI produce more efficient user experiences, which not only attract more customers but also lead to an increase in overall bookings as the travel market becomes more digital. ### **Generative AI in Travel Market Segment Insights** #### **Generative AI in Travel Market Application Insights**** ** The Generative AI in Travel Market, with a projected valuation of 1.51 USD Billion in 2023, showcases a multifaceted application landscape that plays a critical role in transforming how travel services are delivered. This market segmentation includes various applications Planning, Customer Service Chatbots, Personalized Travel Recommendations, Virtual Tour Guides, and Travel Content Generation all contributing to enhanced traveler experiences. The Trip Planning segment demonstrates significant traction, valued at 0.45 USD Billion in 2023 and projected to grow to 2.5 USD Billion by 2032, as it aids travelers in crafting itineraries tailored to their preferences, ensuring convenience and efficiency in organizing journeys. Customer Service Chatbots follow closely, valued at 0.35 USD Billion in 2023 and set to reach 2.0 USD Billion in 2032; they facilitate real-time assistance, addressing customer queries and aiding in booking journeys, thereby improving user satisfaction and engagement. Personalized Travel Recommendations further enhance user experiences, with a valuation of 0.3 USD Billion in 2023, expanding to 1.8 USD Billion by 2032, as they rely on vast data analytics to provide tailored suggestions, ensuring travelers receive relevant offerings.Virtual Tour Guides, with a valuation of 0.2 USD Billion in 2023 and projected to increase to 1.0 USD Billion in 2032, are gaining prominence for their ability to offer immersive experiences, engaging users with real-time information during tours, which allows for informed navigation and exploration. Lastly, the Travel Content Generation segment starts off at 0.21 USD Billion in 2023 and is expected to rise to 1.2 USD Billion in 2032, highlighting the demand for AI in creating engaging travel content and enhancing marketing initiatives for travel businesses. The majority holding in the market is reflected in the Trip Planning and Customer Service Chatbots segments due to their direct influence on easing travel processes and enhancing customer interaction with services, showcasing the increasing reliance on Generative AI technologies in the travel industry. These segments are pivotal in addressing travelers' needs and preferences, driving significant growth within the Generative AI in Travel Market. Thus, the insights derived from this market's segmentation underline the importance of application-driven innovations as crucial components in shaping the future of travel experiences. **Figure2: Generative AI in Travel Market, By Application, 2023 & 2032 (USD billion)** Source: Primary Research, Secondary Research, _Market Research Future_ Database and Analyst Review #### **Generative AI in Travel Market Technology Insights   ** The Generative AI in Travel Market is witnessing significant growth within the Technology segment as it reached a value of 1.51 billion USD in 2023. This segment includes various innovative technologies that enhance travel experiences and operational efficiencies. Natural Language Processing plays a crucial role by powering chatbots and virtual assistants that improve customer interaction. Machine Learning contributes significantly by analyzing behavioral patterns to offer personalized travel recommendations. Data Analytics is vital in processing vast amounts of travel-related information, enabling businesses to optimize pricing strategies and enhance customer engagement.Computer Vision is becoming increasingly important for visual recognition tasks, impacting security systems and user experiences in travel apps. Voice Recognition continues to gain traction, facilitating hands-free operations and improving accessibility for users. The market growth is driven by increasing demand for personalized experiences, operational efficiencies, and improving customer satisfaction across the travel industry. As the market evolves, the integration of these technologies is expected to streamline services and provide competitive advantages in a rapidly changing environment.Overall, the importance of these technologies is prevalent as they significantly enhance user engagement, operational effectiveness, and data-driven decision-making in the travel sector. #### **Generative AI in Travel Market User Type Insights   **** ** The Generative AI in Travel Market is anticipated to experience significant growth, driven by various user types. As of 2023, the market is valued at 1.51 USD Billion and is expected to expand significantly in the coming years. Among the user types, Travel Agencies play a crucial role as they leverage generative AI to streamline operations, enhance customer experiences, and improve booking efficiency. Corporate Travelers also utilize generative AI for tailored travel solutions, optimizing both cost and time efficiency for organizations. Leisure Travelers benefit from personalized recommendations and seamless itineraries powered by AI-driven insights.Tour Operators are increasingly using AI technologies to curate unique travel experiences, catering to diverse customer preferences. Additionally, Adventure Travel Enthusiasts are relying on generative AI for innovative travel ideas and experiences that match their adventurous spirit. The market exhibits a diverse segmentation, with each user type contributing significantly to the overall revenue, depicting a promising trajectory for the Generative AI in Travel Market. Factors such as increased travel demand, technological advancements, and the growing preference for personalized experiences are fueling this growth, while challenges include data privacy concerns and the need for continuous innovation in AI capabilities. #### **Generative AI in Travel Market Deployment Model Insights**** ** The Generative AI in Travel Market, valued at 1.51 USD Billion in 2023, demonstrates noteworthy growth driven by advancements in technology and the increasing demand for personalized travel experiences. Within the Deployment Model segment, the market is characterized by two primary categories: Cloud-based and On-premises solutions. Cloud-based deployment models are significantly gaining traction due to their scalability, flexibility, and ease of access, enabling travel companies to optimize operations efficiently. This deployment approach often results in reduced operational costs and enhanced collaboration.Conversely, On-premises models are preferred by businesses prioritizing data security and control, as they provide complete ownership of the infrastructure. These dynamics present distinct challenges and opportunities, with Cloud-based solutions leading the way in adaptation and innovation, while On-premises models sustain relevance among organizations needing stringent compliance measures. The Generative AI in Travel Market statistics reveal a growing trend toward hybrid solutions, combining the best of both deployment types to leverage the cloud's agility while addressing security concerns through on-premises capabilities.As the market evolves, understanding these deployment nuances will be crucial for stakeholders looking to capitalize on growth opportunities. #### **Generative AI in Travel Market Service Insights**** ** In 2023, the Generative AI in Travel Market revenue was valued at 1.51 billion USD, reflecting a significant growth trajectory. The Service segment plays a crucial role in this market landscape, encompassing essential offerings that enhance the overall travel experience. Among these, Consultation Services, which provide strategic advice tailored to travel businesses, are becoming increasingly vital as organizations aim to leverage AI solutions efficiently. Support and Maintenance services are also significant, ensuring seamless system functionalities, which is critical for operational continuity in travel-related technology.Additionally, Training and Development services facilitate knowledge sharing and skill enhancement for professionals, aiding in the effective implementation of generative AI tools. Integration Services, which help organizations incorporate AI technologies into existing systems, dominate the sector by ensuring compatibility and optimizing workflows. Collectively, these services address core industry needs and present notable opportunities for growth as the Generative AI in Travel Market statistics illustrate a robust demand for AI-driven innovations that enhance operational efficiency and customer satisfaction. #### **Generative AI in Travel Market Regional Insights**** ** The Regional segment of the Generative AI in Travel Market is witnessing considerable growth and diversity across different areas. In 2023, North America emerged as a significant contributor, valued at 0.6 USD Billion, and is expected to reach 3.25 USD Billion by 2032, reflecting its majority holding in the market. Europe follows closely with a value of 0.4 USD Billion in 2023, projected to climb to 2.1 USD Billion, showcasing its role as a major player in the industry. The Asia Pacific region is also noteworthy, starting at 0.3 USD Billion in 2023 and expected to grow to 1.8 USD Billion, indicating increasing investments and technological adoption in travel solutions.Meanwhile, the Middle East and Africa segment, valued at 0.11 USD Billion, shows potential for growth, reaching 0.6 USD Billion in 2032, while South America trails with a value of 0.1 USD Billion, evolving to 0.55 USD Billion. The market growth across these regions is driven by the demand for personalized travel experiences and the integration of advanced technologies, creating opportunities while navigating challenges such as varying regulatory landscapes and technological readiness. **Figure2: Generative AI in Travel Market, By Regional, 2023 & 2032 (USD billion)** Source: Primary Research, Secondary Research, _Market Research Future_ Database and Analyst Review ### **Generative AI in Travel Market Key Players And Competitive Insights** The Generative AI in Travel Market has witnessed significant growth, driven by the increasing demand for innovative solutions that enhance customer experiences and streamline operations within the travel sector. As businesses look to stay competitive, the integration of generative AI technologies has emerged as a pivotal strategy to create personalized travel experiences, optimize pricing strategies, and automate customer service. Companies engaged in this market are leveraging powerful algorithms and large datasets to generate tailored content and recommendations, thus improving engagement and satisfaction levels among travelers. The competitive landscape is characterized by a mix of established technology giants, specialized startups, and traditional travel companies that are adapting to this rapidly changing environment. As generative AI applications continue to evolve, their ability to improve efficiency and create new revenue opportunities will further dictate the competitive dynamics of the travel industry.Microsoft has a formidable presence in the Generative AI in Travel Market, capitalizing on its robust technological infrastructure and extensive resources. The company is renowned for its powerful cloud computing services, which provide scalable solutions that can be tailored specifically for travel businesses. Microsoft's strengths lie in its advanced AI capabilities, which enable companies in the travel sector to gather and analyze vast amounts of data in real-time, leading to more informed decision-making and improved operational efficiency.  Additionally, Microsoft's commitment to innovation ensures that it remains at the forefront of generative AI developments, helping travel companies enhance customer interaction through personalized recommendations and seamless service automation. This positions Microsoft as a key player that not only offers cutting-edge technology but also fosters a collaborative ecosystem that supports the growth and evolution of generative AI applications in travel.Kayak plays a distinctive role in the Generative AI in Travel Market by employing generative AI tools to enhance its travel search and booking platform. The company focuses on creating a user-centric experience, utilizing AI to generate personalized travel options based on user preferences, search history, and real-time data. Kayak’s strength lies in its ability to optimize search results, providing users with tailored recommendations that align with their unique needs, thus improving user engagement and satisfaction. The integration of generative AI allows Kayak to streamline the booking process and improve customer service through automated chatbots and customized support solutions. This innovative approach not only improves Kayak's market presence but also reinforces its commitment to leveraging cutting-edge technology to meet the evolving demands of modern travelers. As a result, Kayak continues to maintain a competitive edge in the highly dynamic travel industry while fostering customer loyalty through enhanced personalization and efficiency. #### **Key Companies in the Generative AI in Travel Market Include** ### Generative AI in Travel Industry Developments - **Q2 2024: Booking.com launches AI Trip Planner powered by ChatGPT** Booking.com introduced an AI-powered trip planner leveraging OpenAI's ChatGPT, allowing users to receive personalized travel recommendations and itinerary suggestions directly within the platform. - **Q2 2024: Expedia Group partners with OpenAI to enhance travel planning with generative AI** Expedia Group announced a partnership with OpenAI to integrate generative AI capabilities into its travel booking platform, aiming to provide more conversational and personalized trip planning experiences for users. - **Q3 2024: Amadeus launches new generative AI-powered digital assistant for travel agents** Amadeus unveiled a generative AI digital assistant designed to help travel agents automate itinerary creation, answer customer queries, and streamline booking processes. - **Q3 2024: Trip.com Group invests $50 million in generative AI travel startup** Trip.com Group made a $50 million investment in a generative AI startup focused on developing advanced travel planning and recommendation tools for consumers and travel businesses. - **Q4 2024: Google launches new generative AI features for Google Travel** Google introduced generative AI-powered features in its Google Travel service, enabling users to receive AI-generated trip summaries, personalized recommendations, and dynamic itinerary suggestions. - **Q4 2024: Sabre and Microsoft expand partnership to develop generative AI solutions for travel industry** Sabre and Microsoft announced an expanded partnership to co-develop generative AI solutions aimed at improving travel search, booking, and customer service for airlines and travel agencies. - **Q1 2025: Amadeus acquires generative AI startup to boost travel personalization** Amadeus completed the acquisition of a generative AI startup specializing in personalized travel recommendations, aiming to enhance its suite of AI-driven travel solutions. - **Q1 2025: TravelPerk raises $80 million Series D to expand generative AI capabilities** TravelPerk secured $80 million in Series D funding to accelerate the development of generative AI tools for business travel management and automation. - **Q2 2025: Airbnb launches generative AI-powered host assistant** Airbnb rolled out a generative AI-powered assistant for hosts, designed to automate guest communications, provide dynamic pricing suggestions, and streamline property management tasks. - **Q2 2025: Kayak debuts AI-driven travel search platform using generative models** Kayak launched a new travel search platform powered by generative AI models, offering users more intuitive and conversational search experiences for flights, hotels, and car rentals. - **Q3 2025: TripActions rebrands as Navan, unveils generative AI travel assistant** TripActions rebranded as Navan and introduced a generative AI travel assistant to help business travelers with real-time itinerary changes, booking, and expense management. - **Q3 2025: Expedia Group appoints Chief AI Officer to lead generative AI strategy** Expedia Group announced the appointment of a Chief AI Officer to oversee the company's generative AI initiatives and drive innovation in travel technology. ### **Generative AI in Travel Market Segmentation Insights** #### **Generative AI in Travel Market Application Outlook** #### **Generative AI in Travel Market Technology Outlook** #### **Generative AI in Travel Market User Type Outlook** #### **Generative AI in Travel Market Deployment Model Outlook** #### **Generative AI in Travel Market Service Outlook** #### **Generative AI in Travel Market Regional Outlook** ## Market Drivers ### 增强的数据分析能力 生成性人工智能在旅游市场中受益于增强的数据分析能力，使公司能够做出明智的决策。通过利用人工智能算法，旅游企业可以以前所未有的准确性分析客户行为、偏好和市场趋势。这种数据驱动的方法使公司能够优化定价策略、改善营销工作和提升服务产品。例如，一项研究表明，利用先进分析的公司与不利用的公司相比，收入增加了15%。随着旅游行业竞争的加剧，有效利用数据的能力将对成功至关重要。生成性人工智能工具处于这一转型的前沿，提供推动战略决策的洞察。 ### 客户服务流程的自动化 旅行市场中的生成性人工智能正日益自动化客户服务流程，从而提高了运营效率。驱动人工智能的聊天机器人和虚拟助手被部署来处理咨询、预订和投诉，使人类代理能够专注于更复杂的问题。这种自动化预计将使运营成本降低多达30%，因为公司可以在不成比例增加员工的情况下管理更高数量的客户互动。此外，人工智能解决方案的24/7可用性提高了客户满意度，因为旅行者可以随时获得帮助。随着行业继续接受自动化，对生成性人工智能工具的依赖预计将增长，从根本上改变旅行公司与客户的互动方式。 ### 可持续性和环保旅行解决方案 生成性人工智能在旅游市场上越来越关注可持续性和环保旅行解决方案。随着旅行者对环境的关注度提高，对减少碳足迹的选项的需求也在增长。生成性人工智能可以帮助识别可持续的旅行路线、环保的住宿和负责任的旅游活动。数据表明，50%的旅行者愿意为可持续选项支付更多费用，从而支持了这一趋势。因此，旅游公司正在利用生成性人工智能开发和推广环保套餐，使其产品与消费者的价值观相一致。这种对可持续性的关注不仅满足了市场需求，还使公司在负责任的旅行中处于领先地位，可能提升其品牌声誉。 ### 人工智能在旅行规划工具中的整合 生成性人工智能在旅游市场中正显著整合到旅游规划工具中，这简化了旅行规划过程。这些工具利用生成性人工智能根据用户的偏好提供实时的航班、住宿和活动建议。这一整合不仅为旅行者节省了时间，还提升了整体规划体验。最近的调查显示，60%的旅行者更喜欢使用人工智能驱动的工具来规划他们的旅行，突显了消费者行为的转变。随着越来越多的公司采用这些技术，对旅游规划中生成性人工智能解决方案的需求预计将上升，为行业的创新和增长创造新的机会。 ### 对个性化旅行解决方案的需求增加 生成性人工智能在旅游市场的需求正在激增，旅客越来越寻求满足其独特偏好和需求的个性化旅行解决方案。这一趋势受到人工智能技术进步的推动，使得公司能够分析大量数据以创建定制行程。根据最近的数据，70%的旅客表示更喜欢个性化推荐，这表明了一个重要的市场机会。因此，旅游公司正在投资生成性人工智能工具，以增强客户参与度和满意度。这种向个性化的转变不仅改善了旅客体验，还促进了品牌忠诚度，因为客户更有可能回到理解他们个人需求的公司。 ## Future Outlook 生成性人工智能在旅游市场的年均增长率预计将在2024年至2035年间达到21.17%，这得益于个性化服务的增强、运营效率的提升以及数据分析的进步。 **New opportunities:** - 开发基于人工智能的个性化旅行行程，以增强客户参与度。 到2035年，市场预计将会强劲，由创新的人工智能应用和战略合作伙伴关系推动。 ## Segment Insights ### 按应用：旅行规划（最大）与客户服务聊天机器人（增长最快） 旅行市场中的生成性人工智能揭示了多样化的应用格局。行程规划占据了最大的市场份额，因为旅行者越来越寻求基于人工智能的帮助，以策划定制的行程，从而促进更智能的决策。紧随其后的是客户服务聊天机器人，它们通过增强客户互动、提供实时支持和提高旅行服务中的客户满意度而获得了关注。这种多样性突显了生成性人工智能在不同旅行动态中的重要性。 行程规划（主导）与客户服务聊天机器人（新兴） 旅行规划在生成式人工智能旅行市场中脱颖而出，有效地简化了用户的旅行规划过程。通过利用人工智能算法，它根据旅行者的偏好和历史数据提供个性化的推荐和行程安排。相比之下，客户服务聊天机器人作为一种前沿解决方案，提供快速高效的互动，帮助旅行者解答疑问、协助预订，并增强整体客户参与度，迅速成为竞争激烈的旅行环境中不可或缺的工具。 ### 按技术：自然语言处理（最大）与机器学习（增长最快） 旅行市场中的生成性人工智能在市场份额分配上表现出显著的差异，自然语言处理（NLP）占据主导地位。其应用通过提供无缝的沟通和个性化的推荐来增强客户互动。紧随其后，机器学习被认定为增长最快的细分市场，推动因素是对智能旅行解决方案日益增长的需求。随着人工智能模型从庞大的数据源中学习，它们有望彻底改变旅行体验的策划方式。 技术细分市场的增长趋势受到人工智能算法进步和对人工智能基础设施投资增加的推动。旅行行业正专注于自动化客户服务流程和预测分析，这些都在很大程度上依赖于自然语言处理和机器学习等技术。此外，来自旅行者互动和偏好的数据生成的增加正在增强这些技术的能力，促进更广泛的采用和令人兴奋的创新。 技术：自然语言处理（主导）与机器学习（新兴） 自然语言处理（NLP）是旅行市场生成性人工智能的一个关键支柱，使系统能够有效理解和响应人类语言。它通过提供智能虚拟助手来转变旅行者的互动，增强用户体验，提供个性化的帮助和实时沟通。同时，尽管机器学习（ML）仍在发展中，但它正在迅速获得关注，因为它使系统能够从数据模式中学习，并在没有明确编程的情况下提高其能力。这项技术驱动着多种应用，包括定价优化、推荐系统和情感分析，使其在旅行行业未来的发展中不可或缺。这两种技术都是不可或缺的，NLP专注于语言理解，而机器学习通过数据驱动的决策扩展了视野。 ### 按用户类型：旅行社（最大）与休闲旅行者（增长最快） 旅行市场中的生成性人工智能展示了用户类型之间的多样化分布，其中旅行社占据了最大的市场份额。它们的成熟存在和人工智能解决方案的整合简化了运营，提高了客户服务和运营效率。尽管休闲旅行者目前的市场份额相较于旅行社较小，但这一快速增长的细分市场正受到其对个性化和无缝旅行体验日益增长的需求的推动，这种体验得益于人工智能的能力。 这一细分市场的增长趋势显示出向用户友好的人工智能解决方案的转变，以满足各种用户类型的需求。旅行社正在利用人工智能进行预测分析和客户关系管理。相比之下，休闲旅行者，特别是年轻人群，正在接受提供定制旅行推荐的人工智能驱动平台，突显了新兴技术在提升旅行体验中的满意度和参与度的重要性。 旅行社（主导）与冒险旅行爱好者（新兴） 旅行社在旅行市场的生成式人工智能中占据主导地位，利用先进的人工智能工具来自动化流程、管理预订和个性化客户互动。他们受益于现有的客户数据库和行业专业知识，使他们能够有效地实施人工智能技术。另一方面，冒险旅行爱好者代表了一个新兴的细分市场，其特点是他们对独特和可定制旅行体验的偏好。这个群体寻求利用生成式人工智能提供量身定制的冒险行程和实时更新的公司。随着这一细分市场的增长，专注于冒险旅行的公司越来越多地采用人工智能，以满足这些旅行者的特定需求，承诺在人工智能如何融入整体旅行规划和执行过程中带来激动人心的转变。 ### 按部署模型：基于云的（最大）与本地部署（增长最快） 在旅游市场的生成性人工智能中，部署模型部分显著地被基于云的解决方案主导，因其可扩展性、灵活性和易于集成而占据了重要份额。基于云的服务使旅游公司能够利用先进的人工智能能力，而无需进行大量基础设施投资，从而实现更快的采用和广泛的使用。另一方面，尽管本地模型目前在市场份额上较小，但随着组织寻求对其数据和人工智能流程的更大控制以应对隐私问题和监管要求，它们正在迅速增长。 部署模型：基于云的（主导）与本地部署（新兴） 基于云的生成性人工智能在旅游市场的部署模型以其快速高效地提供人工智能驱动解决方案的能力为特征。它们提供广泛的资源和计算能力，使旅游公司能够分析大量数据，以提升客户体验和运营效率。然而，针对数据安全和定制化优先的企业，内部部署模型正逐渐成为首选。这些组织正在投资于内部解决方案，以保留数据所有权并遵守严格的监管框架，从而推动这一细分市场的增长，突显出在不断发展的旅游人工智能领域中便利性与控制权的双重趋势。 ### 按服务：咨询服务（最大）与支持和维护（增长最快） 在旅游市场的生成性人工智能中，服务细分市场的特点是咨询服务、支持与维护、培训与发展以及集成服务的分布。咨询服务占据了最大的市场份额，为旅游公司提供战略洞察和量身定制的解决方案。相比之下，支持与维护已成为增长最快的细分市场，响应了对持续支持和可靠性在人工智能驱动解决方案中日益增长的需求。 咨询服务（主导）与支持和维护（新兴） 咨询服务在旅行市场的生成性人工智能中占据主导地位，提供将人工智能技术整合到旅行运营中的重要专业知识。这些服务通常包括战略规划、个性化人工智能解决方案开发以及针对旅行需求的市场分析。另一方面，支持和维护已成为一种新兴的必要性，因为公司努力优化其人工智能应用。该领域专注于确保人工智能工具的无缝运行，提供故障排除服务、定期更新和维护支持。对旅行中人工智能工具的日益依赖推动了对持续支持的需求，以最大化其有效性，从而创造了一个新兴的市场趋势。 ## Regional Market Share Analysis ### 北美：创新与市场领导 北美是旅行领域生成性人工智能最大的市场，约占全球市场份额的45%。主要增长驱动因素包括先进的技术基础设施、高消费者对个性化旅行体验的需求以及对人工智能研究与开发的重大投资。对人工智能创新的监管支持进一步促进了市场扩展，使其成为技术驱动旅行解决方案的中心。 美国在该地区处于领先地位，Expedia Group、Booking Holdings和Tripadvisor等主要参与者推动了竞争。加拿大也发挥着重要作用，专注于将人工智能整合到旅行服务中。竞争格局的特点是快速创新以及科技公司与旅行社之间的合作，增强了服务提供和客户参与。 ### 欧洲：新兴的人工智能采用 欧洲正在经历生成性人工智能在旅行领域的采用激增，约占全球市场份额的30%。主要驱动因素包括对可持续性的强烈重视、促进数字化转型的监管框架以及消费者对个性化旅行体验日益增长的期望。德国和法国等国处于前沿，利用人工智能提升运营效率和客户满意度。 Amadeus IT Group和Skyscanner等领先企业在塑造竞争格局中发挥着关键作用。该地区多样化的旅行市场鼓励创新，初创企业与成熟公司合作开发基于人工智能的解决方案。欧盟的数字战略旨在促进各行业的人工智能整合，进一步推动市场增长。 ### 亚太地区：快速增长与创新 亚太地区迅速崛起为生成性人工智能旅行市场的重要参与者，约占全球市场份额的20%。该地区的增长受益于互联网渗透率的提高、旅行行业的蓬勃发展以及日益壮大的中产阶级对个性化旅行解决方案的需求。中国和印度等国在这一转型中处于领先地位，得益于有利的政府政策和对技术的投资。 中国的携程及其他本地参与者在人工智能采用方面处于前沿，通过创新解决方案提升客户体验。竞争格局充满活力，众多初创企业进入市场，促进了创新文化。随着该地区继续拥抱数字化转型，对基于人工智能的旅行解决方案的需求预计将激增，重塑行业格局。 ### 中东和非洲：新兴市场潜力 中东和非洲地区逐渐认识到生成性人工智能在旅行中的潜力，目前约占全球市场份额的5%。主要增长驱动因素包括旅游业的增长、政府推动数字化转型的举措以及对个性化旅行体验日益增长的兴趣。阿联酋和南非等国在这一领域处于领先地位，专注于将人工智能整合到其旅行部门以提升服务质量。 竞争格局正在演变，本地和国际参与者都在探索人工智能解决方案，以改善客户参与和运营效率。该地区独特的文化和地理多样性为旅行中的定制人工智能应用提供了机会，使其成为一个充满创新和增长潜力的市场。 ## Competitive Benchmarking 旅行市场中的生成性人工智能目前的特点是动态竞争格局，受到快速技术进步和对个性化旅行体验日益增长的需求的驱动。主要参与者如阿马德斯IT集团（西班牙）、Expedia集团（美国）和Booking Holdings（美国）处于这一演变的前沿，各自采用不同的策略来增强其市场定位。阿马德斯IT集团（西班牙）专注于通过其基于人工智能的解决方案来简化旅行操作，而Expedia集团（美国）则强调与当地企业的合作，以增强客户参与度。Booking Holdings（美国）利用数据分析来优化其产品，从而塑造一个以客户为中心的解决方案和运营效率为优先的竞争环境。 这些公司采用的商业策略反映出一个适度分散的市场结构，其中合作和战略伙伴关系发挥着至关重要的作用。例如，本地化服务和优化供应链是增强对市场需求响应能力的常见策略。这些关键参与者的集体影响力促进了一个竞争氛围，鼓励持续改进和适应新兴趋势。 在2025年9月，阿马德斯IT集团（西班牙）宣布与一家领先的人工智能研究机构建立合作关系，开发旨在增强旅行规划中客户个性化的先进算法。这一战略举措可能会增强阿马德斯在提供量身定制的旅行体验方面的能力，从而巩固其在市场中的竞争优势。这一合作强调了在快速发展的环境中保持相关性的重要性。 在2025年8月，Expedia集团（美国）推出了一项新的基于人工智能的功能，允许用户根据他们的偏好和过去的行为接收实时旅行推荐。这一举措不仅增强了用户参与度，还使Expedia在利用人工智能改善客户体验方面处于领先地位。这一功能的战略重要性在于其潜力可以增加客户忠诚度并推动重复业务，这在竞争激烈的市场中至关重要。 在2025年7月，Booking Holdings（美国）通过收购一家专注于自然语言处理的初创公司来扩展其人工智能能力。这一收购预计将增强Booking的客户服务运营，使其能够更高效地处理咨询和预订。这一举措的战略意义在于其与将人工智能整合到客户服务中的日益增长的趋势相一致，这在旅行行业中正成为一个关键的差异化因素。 截至2025年10月，旅行市场中的生成性人工智能的竞争趋势越来越受到数字化、可持续性和人工智能技术整合的定义。关键参与者之间的战略联盟正在塑造市场格局，促进创新并增强服务交付。展望未来，竞争差异化似乎将越来越从传统的基于价格的策略转向关注技术创新、客户体验和供应链可靠性，这表明公司在这一领域竞争方式的转变。 ## Recent News & Developments - **2024年第二季度：Booking.com推出由ChatGPT驱动的AI旅行规划师** Booking.com推出了一款利用OpenAI的ChatGPT的AI驱动旅行规划师，允许用户在平台内直接获得个性化的旅行推荐和行程建议。 - **2024年第二季度：Expedia Group与OpenAI合作，通过生成性AI提升旅行规划** Expedia Group宣布与OpenAI建立合作伙伴关系，将生成性AI能力整合到其旅行预订平台中，旨在为用户提供更具对话性和个性化的旅行规划体验。 - **2024年第三季度：Amadeus推出新的生成性AI驱动的旅行代理数字助手** Amadeus推出了一款生成性AI数字助手，旨在帮助旅行代理自动化行程创建、回答客户查询并简化预订流程。 - **2024年第三季度：Trip.com Group投资5000万美元于生成性AI旅行初创公司** Trip.com Group对一家专注于开发先进旅行规划和推荐工具的生成性AI初创公司进行了5000万美元的投资，面向消费者和旅行企业。 - **2024年第四季度：谷歌推出新的生成性AI功能用于谷歌旅行** 谷歌在其谷歌旅行服务中推出了生成性AI驱动的新功能，使用户能够获得AI生成的旅行摘要、个性化推荐和动态行程建议。 - **2024年第四季度：Sabre与微软扩大合作伙伴关系，共同开发旅行行业的生成性AI解决方案** Sabre与微软宣布扩大合作伙伴关系，共同开发旨在改善航空公司和旅行社的旅行搜索、预订和客户服务的生成性AI解决方案。 - **2025年第一季度：Amadeus收购生成性AI初创公司以提升旅行个性化** Amadeus完成了对一家专注于个性化旅行推荐的生成性AI初创公司的收购，旨在增强其AI驱动的旅行解决方案套件。 - **2025年第一季度：TravelPerk获得8000万美元D轮融资以扩展生成性AI能力** TravelPerk获得8000万美元的D轮融资，以加速生成性AI工具在商务旅行管理和自动化方面的发展。 - **2025年第二季度：Airbnb推出生成性AI驱动的房东助手** Airbnb推出了一款生成性AI驱动的房东助手，旨在自动化客人沟通、提供动态定价建议并简化物业管理任务。 - **2025年第二季度：Kayak推出基于生成模型的AI驱动旅行搜索平台** Kayak推出了一款新的旅行搜索平台，采用生成性AI模型，为用户提供更直观和对话式的航班、酒店和租车搜索体验。 - **2025年第三季度：TripActions更名为Navan，推出生成性AI旅行助手** TripActions更名为Navan，并推出了一款生成性AI旅行助手，帮助商务旅行者进行实时行程变更、预订和费用管理。 - **2025年第三季度：Expedia Group任命首席AI官以领导生成性AI战略** Expedia Group宣布任命首席AI官，负责监督公司的生成性AI计划并推动旅行技术的创新。 ## Report Scope | 2024年市场规模 | 2.224（十亿美元） | | --- | --- | | 2025年市场规模 | 2.695（十亿美元） | | 2035年市场规模 | 18.39（十亿美元） | | 复合年增长率（CAGR） | 21.17%（2024 - 2035） | | 报告覆盖范围 | 收入预测、竞争格局、增长因素和趋势 | | 基准年 | 2024 | | 市场预测期 | 2025 - 2035 | | 历史数据 | 2019 - 2024 | | 市场预测单位 | 十亿美元 | | 主要公司简介 | 市场分析进行中 | | 覆盖的细分市场 | 市场细分分析进行中 | | 主要市场机会 | 整合个性化旅行规划工具，利用生成性人工智能提升客户体验和运营效率。 | | 主要市场动态 | 生成性人工智能的日益整合提升了个性化旅行体验，重塑了消费者期望和行业标准。 | | 覆盖的国家 | 北美、欧洲、亚太、南美、中东和非洲 | ## Frequently Asked Questions **Q: 到2035年，生成性人工智能在旅游市场的预计市场估值是多少？** A: 预计到2035年，生成性人工智能在旅游市场的市场估值将达到183.9亿美元。 **Q: 2024年旅行领域生成性人工智能的整体市场估值是多少？** A: 2024年，旅行领域生成性人工智能的整体市场估值为22.24亿美元。 **Q: 2025年至2035年，旅游市场生成性人工智能的预期CAGR是多少？** A: 在2025年至2035年的预测期内，旅游市场生成性人工智能的预期CAGR为21.17%。 **Q: 哪些细分市场正在推动旅游市场中的生成性人工智能？** A: 推动市场的关键细分包括行程规划、客户服务聊天机器人和个性化旅行推荐，每个细分市场的价值约为36.3至36.7亿美元。 **Q: 部署模型如何影响旅游市场中的生成性人工智能？** A: 部署模型表明，基于云的解决方案预计将占主导地位，估值为110.08亿美元，而本地解决方案的估值为73.82亿美元。 **Q: 在旅游中，哪些用户类型与生成式人工智能的互动最为积极？** A: 休闲旅行者和商务旅行者是参与度最高的用户类型，估值分别为55.6亿美元和46.7亿美元。 **Q: 在旅游市场中，哪些公司被视为生成性人工智能的关键参与者？** A: 市场上的主要参与者包括阿马迪斯IT集团、Expedia集团、Booking Holdings和Tripadvisor等。 **Q: 在旅游市场中，生成性人工智能使用了哪些技术？** A: 自然语言处理、机器学习和数据分析等技术是不可或缺的，每项的价值约为36.7亿美元。 **Q: 在旅游市场中提供哪些生成性人工智能服务？** A: 咨询服务、支持与维护以及培训与发展等服务的价值约为每项 36.7 亿美元。 **Q: 旅游内容生成的市场估值与其他应用相比如何？** A: 旅游内容生成的市场价值为36.7亿美元，类似于其他应用程序，如客户服务聊天机器人和个性化旅行推荐。 --- *This Markdown endpoint is provided for AI systems and LLM crawlers. For the full interactive report visit https://www.marketresearchfuture.com/reports/generative-ai-in-travel-market-31666*