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市場調查報告書
商品編碼
1876864
全球旅遊與旅館業顧客體驗成長機會:2025-2026 年Global CX Growth Opportunities in the Travel & Hospitality Industry 2025 to 2026 |
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客戶觀點
2024年,被壓抑的旅遊需求推動旅遊業支出回升至接近疫情前水準。由於需求增加以及需要彌補2020-2022年疫情限制措施造成的收入損失,航空和地面交通、住宿設施以及餐飲價格仍居高不下。消費者在度假和節日上的支出也比以往任何時候都多,預計收入將持續成長。高階旅遊興起,消費者將盡可能增加預算,以便在假期中體驗更多活動。
如今,客戶對無縫全通路體驗的需求比以往任何時候都更加迫切。消費者渴望獲得更個人化的旅行體驗。旅遊和飯店公司正加大對資料分析的投入,以實現客製化的行程安排、更貼心的飯店服務和更優質的機上體驗。人工智慧(AI)的應用進一步推動了個人化客戶體驗的自動化。以 AI 為基礎的聊天機器人和智慧虛擬助理(IVA)提升客服中心環境中的客戶體驗(CX),而分析技術則在改善精準行銷並提高轉換率。
受疫情影響,非接觸式技術在機場商店和餐廳變得越來越普遍,旅客可以使用智慧型手機進行支付和點餐。
除了客戶體驗之外,人工智慧和機器學習透過預測定價模式和流程自動化來幫助公司管理收入。
本研究的主要目標是了解旅遊和飯店產業客服中心環境的互動管道、應用和解決方案採用計劃,以及了解購買趨勢和影響產品選擇的因素。
該調查針對旅遊和飯店業客服中心決策者以及影響各個業務職能部門採購決策的人員,包括執行長、董事、所有者、高級和中階管理人員。
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.