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AI in Tourism Market Size, Share & Trends Analysis Report By Offering (Solution, Services), By End Use (Transportation & Mobility Services, Travel Technology Platforms & Solution Providers), By Region, And Segment Forecasts, 2025 - 2030
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AI in Tourism Market Size & Trends:

The global AI in tourism market size was estimated at USD 3,373.0 million in 2024 and is projected to grow at a CAGR of 26.7% from 2025 to 2030. Travel and tourism platforms are increasingly using artificial intelligence to offer real-time recommendations that reflect each traveler's specific interests. These systems analyze large volumes of data such as search history, location, and behavior patterns to provide suggestions that align closely with individual preferences.

This level of customization not only improves user satisfaction but also increases engagement and conversion rates for travel providers. As AI adoption deepens across the industry, such personalized experiences are likely to become a fundamental part of tourism platforms. Companies are developing AI-powered assistants that provide real-time, personalized travel information and support local digital transformation efforts. For instance, in December 2024, Wipro, in collaboration with SIAM.AI, an AI infrastructure and services provider in Thailand, and using NVIDIA Corporation's AI platform, developed Sukjai, an AI-powered assistant for the Tourism Authority of Thailand, to offer real-time, personalized travel information and support. This initiative supports Thailand's sovereign AI goals and enhances the tourist experience through multilingual, responsible AI-driven services.

Companies are increasingly utilizing big data and AI analytics to improve the quality and efficiency of tourism services. These tools enable real-time updates that assist both travelers and service providers in making informed decisions. AI-driven predictive maintenance ensures that transportation systems operate without unexpected breakdowns, enhancing reliability. In addition, advanced logistics optimization helps reduce delays and streamline operations, contributing to a more seamless travel experience. For instance, in February 2024, as a part of Huawei's initiatives unveiled at MWC Barcelona 2024, the company introduced four new ICT solutions focused on transforming transportation with intelligent technologies. Collaborations with entities such as Tianjin Port Group and Cote d'Ivoire's Ministry of Transport reflect the use of AI, big data, and 5G to optimize infrastructure, improve real-time operational visibility, and enhance passenger safety. These partnerships show how companies are using data-driven systems for predictive maintenance, real-time service updates, and logistics optimization. Such advancements are directly connected to efforts to improve the efficiency and quality of tourism-related transportation services.

Companies are increasingly adopting AI systems to strengthen safety measures across tourism services. These systems can deliver real-time alerts that notify tourists about weather disruptions, transportation delays, or crowd surges at popular attractions. Emergency guidance is being integrated into apps and platforms, helping travelers navigate crises or unfamiliar environments more confidently. Location-based AI features are also enabling situational awareness by analyzing environmental and social data. This ensures tourists receive timely instructions based on their specific context. Such safety-focused AI tools are becoming essential for building trust and confidence among global travelers.

Global Artificial Intelligence in Tourism Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global artificial intelligence in tourism market report based on offering, end use, and region.

Table of Contents

Chapter 1. Methodology and Scope

Chapter 2. Executive Summary

Chapter 3. Artificial Intelligence in Tourism Market Variables, Trends & Scope

Chapter 4. Artificial Intelligence in Tourism Market: Offering Estimates & Forecasts

Chapter 5. Artificial Intelligence in Tourism Market: End Use Estimates & Forecasts

Chapter 6. Artificial Intelligence in Tourism Market: Regional Estimates & Trend Analysis

Chapter 7. Competitive Landscape

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