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市场调查报告书
商品编码
1876864
全球旅游与旅馆业顾客体验成长机会:2025-2026 年Global CX Growth Opportunities in the Travel & Hospitality Industry 2025 to 2026 |
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客户观点
2024年,被压抑的旅游需求推动旅游业支出回升至接近疫情前水准。由于需求增加以及需要弥补2020-2022年疫情限制措施造成的收入损失,航空和地面交通、住宿设施以及餐饮价格仍居高不下。消费者在度假和节日上的支出也比以往任何时候都多,预计收入将持续成长。高端旅游正在兴起,消费者将尽可能增加预算,以便在假期中体验更多活动。
如今,客户对无缝全通路体验的需求比以往任何时候都更加迫切。消费者渴望获得更个人化的旅行体验。旅游和酒店公司正加大对数据分析的投入,以实现客製化的行程安排、更贴心的酒店服务和更优质的机上体验。人工智慧 (AI) 的应用进一步推动了个人化客户体验的自动化。以 AI 为基础的聊天机器人和智慧虚拟助理 (IVA) 正在提升客服中心环境中的客户体验 (CX),而分析技术则在改善精准行销并提高转换率。
受疫情影响,非接触式技术在机场商店和餐厅变得越来越普遍,旅客可以使用智慧型手机进行支付和点餐。
除了客户体验之外,人工智慧和机器学习正在透过预测定价模式和流程自动化来帮助公司管理收入。
本研究的主要目标是了解旅游和饭店产业客服中心环境的互动管道、应用和解决方案采用计划,以及了解购买趋势和影响产品选择的因素。
该调查针对旅游和酒店业客服中心决策者以及影响各个业务职能部门采购决策的人员,包括执行长、董事、所有者、高级和中阶管理人员。
Customer Perspectives
In 2024, pent-up demand for travel boosted spending in this industry to nearly pre-pandemic levels. With increasing demand and the need to recoup revenue lost during the 2020-2022 pandemic restrictions, prices for air and ground transportation, accommodations, and dining are high. Revenue growth is also expected due to increased spending by consumers on vacations/holidays compared to the past. Luxury travel is on the rise, and consumers are stretching their budgets to enjoy their holidays with more activities.
Customers want seamless, omnichannel journeys more than ever. Consumers want more personalized travel experiences. Travel and hospitality (T&H) companies are investing in data analytics to deliver customized itineraries, hospitality perks, and enhanced onboard flight experiences. The infusion of artificial intelligence (AI) further enables businesses to automate personalized customer journeys. AI-based chatbots and intelligent virtual assistants (IVAs) enhance customer experience (CX) in the contact center environment, while analytics improve targeted marketing and drive a higher close rate.
The pandemic made contactless technology more prominent in airport shops and dining establishments, allowing travelers to pay or order from a menu using their smartphones.
Beyond CX, AI and machine learning are helping businesses manage their revenue better with predictive pricing models and process automation.
The primary goals of this study are to determine implementation plans of interaction channels, applications, and solutions in the contact center environment in the T&H industry and to understand purchase trends. It also investigates the factors that influence product selection.
Decision-makers and purchase decision influencers of T&H contact centers were surveyed across business functions, including CXOs, managing directors, owners, senior management, middle management, and others.