AI in Travel Tourism Statistics: Adoption, Guest Communication & Training

of travelers say they use AI-enabled tools (e.g., chatbots or virtual assistants) to plan or research trips.

of travelers report that recommendations generated by AI improve their trip-planning experience.

of consumers expect brands to personalize offers and communications using information about their interests and behavior.

of customers expect companies to use the information they collect to personalize messages.

of customers say the experience a company provides is as important as its products or services.

of leisure travelers would consider using AI planning tools if they reduced the time needed to research and compare options.

of travelers report they have already used an AI feature (such as AI search or AI trip-planning) in the last 12 months.

of travel and tourism leaders say generative AI could improve customer experience and personalization.

of enterprises plan to increase investment in generative AI in 2025.

of travel organizations have implemented AI or are actively piloting AI for personalization.

of hospitality companies report using AI for revenue management and dynamic pricing.

of airlines are using AI-driven forecasting to improve operations planning.

of travel companies use AI to automate customer service responses.

of enterprises plan to use AI assistants for employees in the next 12 months.

of companies already use generative AI for software engineering and IT operations.

of organizations say AI strategy priorities include accelerating time-to-market for personalization features.

of enterprises plan to adopt a hybrid AI architecture combining models and rules.

of organizations say they use cloud services to scale AI workloads.

of firms report investing in AI platforms and model management capabilities.

of marketing leaders say they will use AI to automate campaign creation and optimization in 2025.

of enterprises have established responsible AI frameworks (policies, controls, monitoring).

of organizations are investing in real-time personalization using AI.

of organizations say they are adopting agentic AI use cases (automating multi-step tasks).

of travel executives cite improving forecasting accuracy as a key AI use case.

of hotels use AI to optimize staffing schedules based on demand patterns.

of airlines use AI to improve operational decision-making (e.g., maintenance and scheduling).

of travel and tourism leaders expect generative AI to reduce manual work in customer service within 12 months.

of hospitality operators say AI helps improve guest satisfaction scores through more timely responses.

of travel leaders say regulation and compliance are a top barrier to deploying AI.

of organizations say lack of skilled talent is the main reason AI projects stall.

of travel decision-makers say they need better AI explainability to gain internal approval.

The global AI market is expected to reach $1.8 trillion by 2030, growing from $142 billion in 2021.

The global generative AI market is projected to grow to $264.72 billion by 2030 from $9.57 billion in 2022.

The global travel and tourism industry contributed $9.2 trillion to global GDP in 2023.

Travel and tourism is forecast to grow by 3.6% in 2024.

was invested in AI across travel-related technology startups globally in 2023.

AI software revenue in the U.S. is projected to exceed $150 billion by 2026.

The global personalization software market is expected to reach $7.9 billion by 2028.

Air passenger revenue in 2023 exceeded $701 billion globally, providing scale for AI-powered support.

AI-driven personalization is expected to account for $1.6 trillion in economic value across industries by 2030.

of marketers say AI will play an important role in their company’s marketing strategies.

of travel marketers say generative AI will help reduce marketing content production time.

of marketers say AI will improve the accuracy of customer segmentation.

of marketers say measurement and attribution are a challenge when using AI in marketing.

of marketers say AI improves customer journey orchestration across channels.

of businesses say AI helps reduce marketing costs by automating repetitive tasks.