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 2025年2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%.

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 has largely improved mobility solutions in the tourism sector, primarily through ridesharing and shuttles. Data analytics and machine learning algorithms optimize the choice of route based on real-time analysis of the traffic data and historical data on vehicles following the most efficient routes to reduce travel time and costs. It can improve operational efficiency, all the while offering the ability for better customer experiences by reducing waiting time and correct arrival estimates.

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。データ分析と機械学習アルゴリズムは、最も効率的なルートをたどる交通データと車両の履歴データのリアルタイム分析に基づいてルートの選択を最適化し、移動時間とコストを削減します。業務効率を向上させると同時に、待ち時間を短縮し、正確な到着予測を行うことで顧客エクスペリエンスを向上させることができます。

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.

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 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).