The Global Generative Artificial Intelligence in Tourism Market size was valued at USD 3104.20 Mn in 2022, and the total revenue is expected to grow at a CAGR of 17.5 Percent

Generative Artificial Intelligence in Tourism Market Report Scope and Research Methodology:

Generative Artificial Intelligence (GAI) has brought revolutionary changes to the world, enabling businesses to create new experiences by combining virtual and physical worlds. The hospitality and tourism sector has witnessed phenomenal growth in customer numbers during the post-pandemic times. This growth has been accompanied by the use of technologies in customer interface and backend activities, including the adoption of self-serving technologies. In the tourism industry, generative AI is now widely adopted to generate personalized travel recommendations, create virtual tours and immersive experiences, develop interactive chatbots for customer service, generate descriptive and engaging content for travel websites, and assist in real-time translation and interpretation services for tourists, etc. As a result, the use of generative AI in tourism has the potential to enhance customer experiences, streamline operations, and provide innovative solutions to various challenges faced by the industry. Thus, the Generative Artificial Intelligence in Tourism Market is witnessing significant growth in recent years and is expected to generate lucrative growth prospects throughout the forecast period.

The report has been compiled using a combination of primary and secondary research methods, including extensive interviews with industry experts, market surveys, and data analysis from reliable sources. The research process involved gathering and analyzing data from various reputable databases, company websites, government publications, and industry reports to ensure accuracy and reliability.

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What are Generative Artificial Intelligence in Tourism Market Dynamics:

Growing Demand for Personalized Travel Experiences: Generative AI plays a crucial role in fulfilling the demand for unique and customized travel experiences by analyzing large volumes of data, including customer preferences, demographics, and historical travel patterns. This ability to create tailored travel experiences is expected to drive the adoption of generative AI in the tourism industry, enhancing customer satisfaction and differentiation in a competitive market.

Increasing Adoption of Generative AI in the Tourism Industry: Tourism companies are increasingly investing in generative AI technologies to gain a competitive edge and enhance operational efficiency. Generative AI is becoming essential for travel planning and destination marketing organizations' marketing activities. It provides personalized recommendations and assists businesses in working closely with travel and accommodation providers to create customized software and systems, enhancing their offerings and providing valuable insights to clients.

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Generative Artificial Intelligence in Tourism Market Regional Insights:

North America held the largest share of the Generative Artificial Intelligence in Tourism Market in 2022, with over 40 percent of revenue. The region is expected to maintain its dominance with a CAGR of 25.7 percent during the forecast period. The significant presence of key companies, advanced infrastructure, and adoption of the latest technologies contribute to the market's growth in North America. The region also benefits from a strong ecosystem of AI startups and research institutions, driving advancements in generative AI applications for personalized recommendations, virtual tours, and content generation.

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What is Generative Artificial Intelligence in Tourism Market Segmentation:

By Application:

1. Personalized Recommendations
2. Virtual Tours
3. Itinerary Generation
4. Content Generation
5. Others

By Platform:

1. Web-based
2. Mobile Applications
3. Others

By End User:

1. Leisure Travelers
2. Business Travelers
3. Travel Agencies
4. Others

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Who are Generative Artificial Intelligence in Tourism Market Key Players:

1. OpenAI (United States)
2. Hugging Face (United States)
3. Alphabet (Google) (United States)
4. Microsoft (United States)
5. Cohere (United States)
6. Anthropic (United States)
7. Jasper (United States)
8. Glean (United States)
9. Synthesis AI (United States)
10. Stability AI (United States)
11. Lightricks (Israel)
12. Inflection AI (United States)

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Table of content for the Generative Artificial Intelligence in Tourism Market includes:

1. Global Generative Artificial Intelligence in Tourism: Research Methodology

2. Global Generative Artificial Intelligence in Tourism Market: Executive Summary

• Market Overview and Definitions
• Introduction to the Global Market
• Summary
• Key Findings
• Recommendations for Investors
• Recommendations for Market Leaders
• Recommendations for New Market Entry

1. Global Generative Artificial Intelligence in Tourism Market: Competitive Analysis

• MMR Competition Matrix
• Market Structure by region
• Competitive Benchmarking of Key Players
• Consolidation in the Market
• M&A by region
• Key Developments by Companies
• Market Drivers
• Market Restraints
• Market Opportunities
• Market Challenges
• Market Dynamics
• PORTERS Five Forces Analysis
• PESTLE
• Regulatory Landscape by region
• North America
• Europe
• Asia Pacific
• Middle East and Africa
• South America
• COVID-19 Impact

1. Global Generative Artificial Intelligence in Tourism Market Segmentation

• Global Market, by Application (2022-2029)
• Global Market, by Platform (2022-2029)
• Global Market, by End User (2022-2029)

1. Regional Generative Artificial Intelligence in Tourism Market (2022-2029)

• Regional Market, by Application (2022-2029)
• Regional Market, by Platform (2022-2029)
• Regional Market, by End User (2022-2029)
• Regional Market, by Country (2022-2029)


1. Company Profile: Key players

• Company Overview
• Financial Overview
• Global Presence
• Capacity Portfolio
• Business Strategy
• Recent Developments

Key Offerings:

• Past Market Size and Competitive Landscape (2018 to 2021)
• Past Pricing and price curve by region (2018 to 2021)
• Market Size, Share, Size & Forecast by different segment | 2022-2029
• Market Dynamics - Growth Drivers, Restraints, Opportunities, and Key Trends by region
• Market Segmentation - A detailed analysis by Application, Platform and End User
• Competitive Landscape - Profiles of selected key players by region from a strategic perspective
• Competitive landscape - Market Leaders, Market Followers, Regional player
• Competitive benchmarking of key players by region
• PESTLE Analysis
• PORTER's analysis
• Value chain and supply chain analysis
• Legal Aspects of business by region
• Lucrative business opportunities with SWOT analysis
• Recommendations

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