観光市場における人工知能(AI) – 2030年までの世界予測

出版社 MarketsandMarkets
出版年月 2024年12月

AI in Tourism Market – Global Forecast To 2030

観光市場における人工知能(AI) – ソリューション (仮想アシスタントとチャットボット、価格設定と収益管理、予約管理システム)、エンドユーザー (海事旅行、航空、クルーズ船会社、リゾートとテーマパーク) – 2030年までの世界予測
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

The AI in tourism market is estimated at USD 2.95 billion in 2024 and USD 13.38 billion in 2030 at a Compound Annual Growth Rate (CAGR) of 28.7%. AI has largely improved mobility solutions in the tourism sector, primarily through ridesharing and shuttles.

観光市場における人工知能(AI)は、年間平均成長率 (CAGR) 28.7% で、2024 年に 29 億 5,000 万米ドル、2030 年には 133 億 8,000 万米ドルになると推定されています。 AIは、主にライドシェアリングやシャトルを通じて、観光分野のモビリティ ソリューションを大幅に改善しました。

観光市場における人工知能(AI) – 2030年までの世界予測
ai-in-tourism-market-ecosystem

The major players in the AI in tourism market include Snowflake (US), IBM (US), NVIDIA (US), Microsoft (US), AWS (US), Salesforce (US), Appier (Taiwan), Huawei (China), Sabre Corporation (US), SAS Institute (US), [24]7.ai (US), Virtusa Corporation (US), Travelport (UK), Amadeus (Spain), Devox Software (Poland) , AltexSoft (US), Jio Haptik Technologies Limited (India), SHR Group (US), Duve (US), Nexscient (US), Persado (US), Canary Technologies (US), Mize (US), FLYR (US), Geovea (US), Layla AI (Germany). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their AI in tourism market footprint.

The report provides insights on the following pointers:

Analysis of key drivers (rising adoption of data automation tools to ease the decision-making process, rising demand for highly personalized services to enhance customer experience), restraints (high implementation costs), opportunities (incorporation of AI in areas of tourism revolutionizing customer interaction, emergence of AI-driven applications for flight forecasting), and challenges (concerns related to data privacy and security) influencing the growth of the AI in tourism market.

  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in tourism market.
  • Market Development: The report provides comprehensive information about lucrative markets and analyses the AI in tourism market across various regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI in tourism market.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading include Snowflake (US), IBM (US), NVIDIA (US), Microsoft (US), AWS (US), Salesforce (US), Huawei (China), Sabre Corporation (US), SAS Institute (US), Appier (Taiwan), [24]7.ai (US), Virtusa Corporation (US), Travelport (UK), Amadeus (Spain), Devox Software (Poland) , AltexSoft (US), Jio Haptik Technologies Limited (India), SHR Group (US), Duve (US), Nexscient (US), Persado (US), Canary Technologies (US), Mize (US), FLYR (US), Geovea (US), Layla AI (Germany).