
According to the AI in Tourism report, titled “Artificial Intelligence in Tourism Market by Solution (Virtual Assistant & Chatbots, Pricing & Revenue Management, Booking Management System), End Users (Maritime Travel, Aviation, Cruise Line Operators, Resorts & Theme Parks) – Global Forecast to 2030″ published by MarketsandMarkets, the AI in Tourism size is projected to grow from USD 2.95 billion in 2024 to USD 13.38 billion by 2030, registering a CAGR of 28.7% during the AI in Tourism forecast period.
AI-driven security systems are emerging as key enablers in enhancing safety standards across the tourism sector. Advanced technologies such as facial recognition, biometric authentication, and AI-powered surveillance are increasingly deployed across airports, hotels, and travel destinations to streamline security operations while enabling real-time threat detection. Facial recognition technologies at check-in points and border control significantly accelerate identity verification, improving operational efficiency and reducing wait times.
AI-enabled surveillance systems enhance situational awareness by monitoring large areas, identifying suspicious activities, and enabling proactive responses. These advancements are contributing to safer travel experiences while improving operational efficiency. As a result, AI in Tourism growth continues to accelerate, supported by enhanced safety frameworks and improved traveler experiences. The overall AI in Tourism outlook remains highly optimistic as innovation continues to redefine the travel ecosystem.
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“Based on type, the Other AI segment to hold the largest market size during the forecast period.”
The “Other AI” segment encompasses a range of advanced technologies, including machine learning, natural language processing (NLP), computer vision, and predictive analytics, all of which are central to AI in Tourism analysis and industry transformation.
Machine learning enables tourism businesses to process large volumes of data, identify patterns, and enhance operational efficiency through dynamic pricing strategies and personalized offerings. Natural language processing (NLP) powers chatbots and virtual assistants, enabling seamless communication between travelers and service providers by delivering instant, context-aware responses.
Computer vision enhances security and customer experience through automated surveillance systems and facial recognition at check-in points. Predictive analytics allows organizations to forecast customer behavior, including booking trends and travel disruptions, enabling data-driven decision-making and improved service delivery.
Collectively, these technologies are shaping key AI in Tourism trends, driving innovation, operational efficiency, and customer-centric transformation across the tourism industry.
“The services segment to have highest growth during the forecast period.”
Tourism organizations are increasingly leveraging a wide range of services to optimize AI implementation and maximize infrastructure efficiency. These include both professional and managed services that support seamless AI integration.
Professional services, including consulting and training, enable organizations to effectively adopt AI technologies while ensuring compatibility with existing systems. These services streamline operational processes such as personalized marketing and customer engagement.
Support and maintenance services are critical for ensuring continuous performance and scalability of AI solutions, aligning with evolving business requirements. Managed services, on the other hand, provide end-to-end AI management, including monitoring and optimization, allowing organizations to focus on core business operations.
This segment plays a crucial role in accelerating AI in Tourism growth, supporting enterprises in achieving operational excellence and enhanced customer experiences.
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Top 10 Companies in AI in Tourism
- Snowflake
- IBM
- NVIDIA
- Microsoft
- Amazon Web Services
- Salesforce
- Huawei
- Appier
- Sabre Corporation
- SAS Institute
“North America is expected to hold the second-largest market size during the forecast period.”
North America is witnessing strong adoption of AI technologies across multiple sectors, including tourism, supported by significant public and private investments. Government initiatives and funding programs are accelerating innovation and workforce development in artificial intelligence.
In the United States, strategic funding initiatives are supporting AI research and development, contributing to widespread adoption across industries. Leading hospitality organizations are leveraging AI-powered platforms to enhance guest experiences, optimize operations, and drive revenue growth.
Canada is also making substantial investments in its AI ecosystem, strengthening innovation capabilities and supporting industry expansion. AI-powered visual platforms are being deployed in major airports to reduce wait times, enhance passenger experience, and provide real-time operational insights.
These advancements contribute significantly to the expanding AI in Tourism share in the region. With strong technological infrastructure, continuous innovation, and increasing adoption, North America remains a key contributor to the global AI in Tourism forecast, reinforcing its strategic importance in the evolving tourism landscape.
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