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市場調查報告書
商品編碼
1660079

觀光業AI市場:現狀分析與未來預測 (2024年～2032年)

AI in Tourism Market: Current Analysis and Forecast (2024-2032)
出版日期: | 出版商: UnivDatos Market Insights Pvt Ltd | 英文 140 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2024年2月27日，華為發表四大智慧解決方案，加速交通智慧化。 i.0.智慧交通系統2.0解決方案、智慧鐵路-周界偵測解決方案、智慧機場-全連接光纖網路解決方案、智慧機場-周界安全與光纖感測解決方案。

依類型，市場分為航空旅行、鐵路旅行和郵輪旅行。其中，航空旅行將在2023年佔據市場的主導佔有率。航空公司使用人工智慧預測性維護來減少延誤並最大程度提高飛機的可靠性。此外，臉部辨識和生物辨識認證的使用日益廣泛，人工智慧可以消除安全檢查和登機程序的需要。此外，人工智慧還可以幫助航空公司根據客戶偏好和旅行歷史提供個人化的機上服務。例如，2024年3月6日，卡達航空推出了第二代虛擬機組人員“Sama 2.0”，並配備了創新的對話式人工智慧。卡達航空是卡達國的國家航空公司，在 2024 年柏林國際旅遊交易會上，成功推出全息虛擬機組人員“Sama 2.0”，開創了先河。卡達航空是世界上第一家開發由人工智慧驅動的數位人類機組人員的航空公司，以協助乘客並設計客製化的旅行體驗。

根據部署方法，市場分為內部部署和基於雲端的部署。 2023 年，雲端運算將佔據市場的大部分佔有率。基於雲端的人工智慧解決方案有助於旅遊領域的即時數據處理、可擴展性和完整的客戶互動。旅行社、飯店和航空公司使用雲端 AI 進行動態定價、預測分析和智慧庫存管理。由於這些平台是基於雲端的，它們可以透過簡化資料共享來改善與利害關係人的合作，從而幫助推動更好的決策。同樣，人工智慧驅動的雲端解決方案還能確保管理交易的網路安全和客戶資料的資料庫安全。此外，雲端人工智慧還可以使自動預訂系統提高營運效率和客戶可訪問性。例如，2024 年 4 月 9 日，全球領先的公司之一洲際酒店及度假村 (IHG Hotels & Resorts) 與 Google Cloud 宣布擴大合作夥伴關係，以在 IHG OneRewards 行動應用程式中推動新的客戶體驗。利用Google雲端技術，洲際酒店集團將推出由人工智慧驅動的生成式旅行規劃功能，讓賓客能夠直接在 IHG One Rewards 行動應用程式中輕鬆規劃下一次假期，此外，該集團還將於 2024 年下半年推出一系列新功能，以打造更具活力的數位賓客體驗。

根據解決方案，市場細分為虛擬助理/聊天機器人、定價和收入管理以及預訂管理系統。在預計預測期內，虛擬助理/聊天機器人太平洋地區將以顯著的複合年增長率成長。旅遊業的客戶互動正在透過虛擬助理和聊天機器人轉變，它們使用人工智慧為遊客提供即時支援和個人化建議。旅行社和飯店正在使用聊天機器人來處理查詢、預訂並提供即時協助。航空公司還使用人工智慧助理提供航班狀態更新、行李追蹤和更個人化的旅遊提示。例如，2024 年 11 月 7 日，沙烏地阿拉伯旅遊局 (STA) 推出了 SARA，這是一項尖端的人工智慧數位人類計劃，旨在代表“歡迎來到阿拉伯”，成為品牌大使、旅行伴侶和私人禮賓。

為了更了解旅遊業對人工智慧的市場應用情況，我們根據其在北美（美國、加拿大和北美其他地區）、歐洲（德國、法國、英國、西班牙、義大利和歐洲其他地區）、亞太地區（中國、日本、印度和亞太其他地區）和世界其他地區的全球影響力對市場進行了分析。預計在 2024 年至 2032 年的預測期內，亞太地區將實現顯著的複合年增長率。數位轉型速度的提高以及客人對客製化旅行選擇的需求不斷增加，吸引了人工智慧的發展。由於亞太地區的科技消費市場正在不斷發展，人工智慧技術正被亞太地區的旅行社、航空公司和飯店場所廣泛採用。此外，智慧城市需要人工智慧來優化管理功能，從而提高遊客滿意度並實現旅遊業的永續發展。除了需求預測和路線優化之外，人工智慧技術還將幫助營運商高效處理大量遊客。此外，亞洲的主要公司正在以人工智慧為基礎提供即時聊天機器人幫助，並透過主要聯盟、合作夥伴關係和發布會為客戶提供量身定制的旅行計劃和智慧預訂流程。

2024 年 12 月 6 日，領先的技術服務和顧問公司 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) 宣布與泰國 NVIDIA Cloud 合作夥伴計畫成員 SIAM.AI 合作。兩家公司將利用 NVIDIA 的加速運算和軟體為泰國旅遊局開發人工智慧數位助理。此次合作將利用泰國當地的基礎設施、數據和網路來推動泰國的主權人工智慧目標。

在市場上營運的主要公司包括 Snowflake Inc.、NVIDIA Corporation、IBM、Microsoft、Amazon Web Services、Salesforce、HUAWEI Developers、Saber GLBL、SAS Institute 和 Amadeus Hospitality。

目錄

第1章 市場概要

  • 市場定義
  • 主要目的
  • 相關利益者
  • 限制事項

第2章 分析方法或前提條件

  • 分析流程
  • 分析方法
  • 受訪者簡介

第3章 摘要整理

  • 產業摘要
  • 各市場區隔預測
    • 市場成長的強度
  • 地區展望

第4章 市場動態

  • 促進因素
  • 機會
  • 阻礙因素
  • 趨勢
  • PESTEL分析
  • 需求面分析
  • 供給面分析
    • 企業合併·收購 (M&A)
    • 投資情境
    • 產業考察:主要Start-Ups企業及其獨家策略

第5章 價格分析

  • 價格分析:各地區
  • 價格的影響因素

第6章 全球觀光業AI的市場收益 (2022～2032年)

第7章 市場分析:各類型

  • 航空旅遊
  • 鐵路旅遊
  • 郵輪旅遊

第8章 市場分析:各部署方式

  • 內部部署
  • 雲端基礎

第9章 市場分析:各解決方案

  • 虛擬助手·聊天機器人
  • 價格設定·收益管理
  • 預約管理系統

第10章 市場分析:各地區

  • 北美
    • 美國
    • 加拿大
    • 其他北美地區
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 義大利
    • 其他歐洲地區
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 全球其他地區

第11章 價值鏈分析

  • 限制分析
  • 市場參與企業一覽

第12章 競爭情形

  • 競爭儀表板
  • 企業的市場定位分析
  • 波特的五力分析

第13章 企業簡介

  • Snowflake Inc.
    • 企業概要
    • 主要的財務指標
    • SWOT分析
    • 產品系列
    • 近幾年趨勢
  • NVIDIA Corporation
  • IBM
  • Microsoft
  • Amazon Web Services, Inc.
  • Salesforce, Inc.
  • HUAWEI Developers
  • Sabre GLBL Inc.
  • SAS Institute Inc.
  • Amadeus Hospitality

第14章 縮寫與前提條件

第15章 附錄

簡介目錄
Product Code: UMAI213165

AI application in tourism is seen as the result of the increasing consumer interest in the individual and unique travel that is created by using the machine learning techniques of recommendation systems. Further, AI-chatbots and virtual assistant services increase consumer satisfaction by helping them in real-time, managing bookings, and responding to queries effectively. In addition, applications of dynamic pricing and revenue management include the use of artificial intelligence in assessing market trends, demand variability, and competitor's prices, to help the firm update prices and make the highest possible revenues.

The AI in Tourism Market is expected to grow with a significant CAGR of 23.1% during the forecast period (2024-2032). Artificial intelligence technologies deployed in tourism services prioritize experience optimization while optimizing operational resources to generate better decision outcomes throughout the tourism sector. Travel and tourism businesses use AI-powered applications including customer service chatbots alongside machine learning recommendation engines, customer demand forecasting programs and facial recognition hardware. Travel companies along with hotels airlines and tourism boards can maximize their efficiency alongside increasing customer engagement and retail pricing optimization through automated big data processing with natural language capabilities.

On February 27, 2024, Huawei launched four intelligent solutions to accelerate intelligence in transportation i.e. Intelligent Transportation System 2.0 Solution, Smart Railway - Perimeter Detection Solution, Smart Airport - Fully Connected Fiber Network Solution, Smart Airport - Perimeter Security with Fiber Sensing Solution.

Based on the type, the market is segmented into air travel, rail travel, and cruise travel. Among these, air travel held a dominant share of the market in 2023. AI-powered predictive maintenance is used by airlines to reduce delays and maximize aircraft reliability. Also, the rising use of facial recognition and biometric authentication that AI eliminates security checks and the boarding process. In addition, AI helps airlines to provide personalized in-flight services based on customers' preferences and their travel history. For instance, on March 6, 2024, Qatar Airways presented its second-generation virtual cabin crew, Sama 2.0, powered by innovative conversational AI. The national carrier of the State of Qatar has broken new ground at ITB Berlin 2024 with the successful launch of its holographic virtual cabin crew, Sama 2.0. Qatar Airways is the world's first airline to develop an Artificial Intelligence powered digital human cabin crew to assist its passengers in designing curated travel experiences.

Based on deployment mode, the market is segmented into on-premise and cloud-based. The cloud-based held a significant share of the market in 2023. The cloud-based AI solutions help real-time data processing, scalability, and complete customer interaction in the tourism sector. Cloud AI is used by travel agencies, hotels, and airlines for dynamic pricing, predictive analytics, and smart inventory management. These platforms are also cloud-based, which helps to improve collaboration with stakeholders by making the data sharing efficient to help in making better decisions. Similarly, AI-driven cloud solutions also secure the cybersecurity of managed transactions and database security of the customer's data. In addition, AI in the cloud allows an automated booking system as it gives a boost to operational efficiency and customer accessibility. For instance, on April 9, 2024, IHG Hotels & Resorts, one of the world's leading hotel companies, and Google Cloud, announced an expanded partnership that will fuel new customer experiences within the IHG One Rewards mobile app. With Google Cloud's technologies, IHG will launch a generative AI-powered travel planning capability that can help guests easily plan their next vacation directly in the IHG One Rewards mobile app in a suite of new features that will launch in the second half of 2024, creating a more dynamic digital guest experience.

Based on the solution, the market is segmented into virtual assistant & chatbots, pricing & revenue management, and booking management systems. The virtual assistant & chatbots Pacific is expected to grow with a significant CAGR during the forecast period. The tourism customer interactions are changing through virtual assistants and chatbots that use AI to offer instant support and personal recommendations to guide visitors. Chatbots are used by travel agencies and hotels to handle inquiries, and bookings and also provide real-time assistance. Also, AI assistants are being used by airlines for flight status updates, checking one's baggage, and more personalized travel tips. For instance, on November 7, 2024, The Saudi Tourism Authority (STA) unveiled SARA, a cutting-edge AI digital human developed to represent Welcome to Arabia as a brand ambassador, a travel companion and personal concierge.

For a better understanding of the market adoption of AI in Tourism, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, France, U.K., Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. Throughout the forecast period from 2024 to 2032, Asia-Pacific is expected to grow with a significant CAGR. The rising uses of digital transformation speed alongside increasing guest demands for tailored travel options to attract artificial intelligence growth. AI technologies have found broad adoption across travel agencies airlines and hospitality establishments because of Asia-Pacific's well-developed tech-savvy consumer market. Furthermore, smart cities along with tourism sustainability success require AI for optimized management functions which results in better visitor satisfaction. Besides demand forecasting and route optimization, AI technology operators handle large tourist numbers effectively. Moreover, major Asian companies had major collaborations, partnerships, and launches and also use AI as a foundation for delivering instant chatbot assistance and tailoring travel plans and intelligent booking processes to customers.

On December 06, 2024, Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO), a leading technology services and consulting company, announced a collaboration with SIAM.AI, a member of the NVIDIA Cloud Partner program in Thailand. The companies will leverage NVIDIA accelerated computing and software to develop an AI-powered digital assistant for the Tourism Authority of Thailand. This collaboration will utilize infrastructure, data, and networks within the country, advancing Thailand's sovereign AI objectives.

Some of the major players operating in the market include Snowflake Inc., NVIDIA Corporation, IBM, Microsoft, Amazon Web Services, Inc., Salesforce, Inc., HUAWEI Developers, Sabre GLBL Inc., SAS Institute Inc., Amadeus Hospitality.

TABLE OF CONTENTS

1.MARKET INTRODUCTION

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2.RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the AI in Tourism Market
  • 2.2. Research Methodology of the AI in Tourism Market
  • 2.3. Respondent Profile

3.EXECUTIVE SUMMARY

  • 3.1. Industry Synopsis
  • 3.2. Segmental Outlook
    • 3.2.1. Market Growth Intensity
  • 3.3. Regional Outlook

4.MARKET DYNAMICS

  • 4.1. Drivers
  • 4.2. Opportunity
  • 4.3. Restraints
  • 4.4. Trends
  • 4.5. PESTEL Analysis
  • 4.6. Demand Side Analysis
  • 4.7. Supply Side Analysis
    • 4.7.1. Merger & Acquisition
    • 4.7.2. Investment Scenario
    • 4.7.3. Industry Insights: Leading Startups and Their Unique Strategies

5.PRICING ANALYSIS

  • 5.1. Regional Pricing Analysis
  • 5.2. Price Influencing Factors

6.GLOBAL AI IN TOURISM MARKET REVENUE (USD BN), 2022-2032F

7.MARKET INSIGHTS BY TYPE

  • 7.1. Air Travel
  • 7.2. Rail Travel
  • 7.3. Cruise Travel

8.MARKET INSIGHTS BY DEPLOYMENT MODE

  • 8.1. On-Premise
  • 8.2. Cloud-Based

9.MARKET INSIGHTS BY SOLUTION

  • 9.1. Virtual Assistant & Chatbots
  • 9.2. Pricing & Revenue Management
  • 9.3. Booking Management System

10.MARKET INSIGHTS BY REGION

  • 10.1. North America
    • 10.1.1. U.S.
    • 10.1.2. Canada
    • 10.1.3. Rest of North America
  • 10.2. Europe
    • 10.2.1. Germany
    • 10.2.2. France
    • 10.2.3. U.K.
    • 10.2.4. Spain
    • 10.2.5. Italy
    • 10.2.6. Rest of Europe
  • 10.3. Asia-Pacific
    • 10.3.1. China
    • 10.3.2. Japan
    • 10.3.3. India
    • 10.3.4. Rest of APAC
  • 10.4. Rest of the World

11.VALUE CHAIN ANALYSIS

  • 11.1. Marginal Analysis
  • 11.2. List of Market Participants

12.COMPETITIVE LANDSCAPE

  • 12.1. Competition Dashboard
  • 12.2. Competitor Market Positioning Analysis
  • 12.3. Porter Five Forces Analysis

13.COMPANY PROFILES

  • 13.1. Snowflake Inc.
    • 13.1.1. Company Overview
    • 13.1.2. Key Financials
    • 13.1.3. SWOT Analysis
    • 13.1.4. Product Portfolio
    • 13.1.5. Recent Developments
  • 13.2. NVIDIA Corporation
  • 13.3. IBM
  • 13.4. Microsoft
  • 13.5. Amazon Web Services, Inc.
  • 13.6. Salesforce, Inc.
  • 13.7. HUAWEI Developers
  • 13.8. Sabre GLBL Inc.
  • 13.9. SAS Institute Inc.
  • 13.10. Amadeus Hospitality

14.ACRONYMS & ASSUMPTION

15.ANNEXURE