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市场调查报告书
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1660079

观光业AI市场:现状分析与未来预测 (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个工作天内

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简介目录

2024年2月27日，华为发表四大智慧解决方案，加速交通智慧化。 i.0.智慧交通系统2.0解决方案、智慧铁路-周界侦测解决方案、智慧机场-全连接光纤网路解决方案、智慧机场-周界安全与光纤感测解决方案。

依类型，市场分为航空旅行、铁路旅行和邮轮旅行。其中，航空旅行将在2023年占据市场的主导占有率。航空公司使用人工智慧预测性维护来减少延误并最大程度提高飞机的可靠性。此外，脸部辨识和生物辨识认证的使用日益广泛，人工智慧可以消除安全检查和登机程序的需要。此外，人工智慧还可以帮助航空公司根据客户偏好和旅行历史提供个人化的机上服务。例如，2024年3月6日，卡达航空推出了第二代虚拟机组人员“Sama 2.0”，并配备了创新的对话式人工智慧。卡达航空是卡达国的国家航空公司，在 2024 年柏林国际旅游交易会上，成功推出全息虚拟机组人员“Sama 2.0”，开创了先河。卡达航空是世界上第一家开发由人工智慧驱动的数位人类机组人员的航空公司，以协助乘客并设计客製化的旅行体验。

根据部署方法，市场分为内部部署和基于云端的部署。 2023 年，云端运算将占据市场的大部分占有率。基于云端的人工智慧解决方案有助于旅游领域的即时数据处理、可扩展性和完整的客户互动。旅行社、饭店和航空公司使用云端 AI 进行动态定价、预测分析和智慧库存管理。由于这些平台是基于云端的，它们可以透过简化资料共享来改善与利害关係人的合作，从而帮助推动更好的决策。同样，人工智慧驱动的云端解决方案还能确保管理交易的网路安全和客户资料的资料库安全。此外，云端人工智慧还可以使自动预订系统提高营运效率和客户可访问性。例如，2024 年 4 月 9 日，全球领先的公司之一洲际酒店及度假村 (IHG Hotels & Resorts) 与 Google Cloud 宣布扩大合作伙伴关係，以在 IHG OneRewards 行动应用程式中推动新的客户体验。利用Google云端技术，洲际酒店集团将推出由人工智慧驱动的生成式旅行规划功能，让宾客能够直接在 IHG One Rewards 行动应用程式中轻鬆规划下一次假期，此外，该集团还将于 2024 年下半年推出一系列新功能，以打造更具活力的数位宾客体验。

根据解决方案，市场细分为虚拟助理/聊天机器人、定价和收入管理以及预订管理系统。在预计预测期内，虚拟助理/聊天机器人太平洋地区将以显着的复合年增长率成长。旅游业的客户互动正在透过虚拟助理和聊天机器人转变，它们使用人工智慧为游客提供即时支援和个人化建议。旅行社和饭店正在使用聊天机器人来处理查询、预订并提供即时协助。航空公司还使用人工智慧助理提供航班状态更新、行李追踪和更个人化的旅游提示。例如，2024 年 11 月 7 日，沙乌地阿拉伯旅游局 (STA) 推出了 SARA，这是一项尖端的人工智慧数位人类计划，旨在代表“欢迎来到阿拉伯”，成为品牌大使、旅行伴侣和私人礼宾。

为了更了解旅游业对人工智慧的市场应用情况，我们根据其在北美（美国、加拿大和北美其他地区）、欧洲（德国、法国、英国、西班牙、义大利和欧洲其他地区）、亚太地区（中国、日本、印度和亚太其他地区）和世界其他地区的全球影响力对市场进行了分析。预计在 2024 年至 2032 年的预测期内，亚太地区将实现显着的复合年增长率。数位转型速度的提高以及客人对客製化旅行选择的需求不断增加，吸引了人工智慧的发展。由于亚太地区的科技消费市场正在不断发展，人工智慧技术正被亚太地区的旅行社、航空公司和饭店场所广泛采用。此外，智慧城市需要人工智慧来优化管理功能，从而提高游客满意度并实现旅游业的永续发展。除了需求预测和路线优化之外，人工智慧技术还将帮助营运商高效处理大量游客。此外，亚洲的主要公司正在以人工智慧为基础提供即时聊天机器人帮助，并透过主要联盟、合作伙伴关係和发布会为客户提供量身定制的旅行计划和智慧预订流程。

2024 年 12 月 6 日，领先的技术服务和顾问公司 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) 宣布与泰国 NVIDIA Cloud 合作伙伴计画成员 SIAM.AI 合作。两家公司将利用 NVIDIA 的加速运算和软体为泰国旅游局开发人工智慧数位助理。此次合作将利用泰国当地的基础设施、数据和网路来推动泰国的主权人工智慧目标。

在市场上营运的主要公司包括 Snowflake Inc.、NVIDIA Corporation、IBM、Microsoft、Amazon Web Services、Salesforce、HUAWEI Developers、Saber GLBL、SAS Institute 和 Amadeus Hospitality。

目录

第1章 市场概要

  • 市场定义
  • 主要目的
  • 相关利益者
  • 限制事项

第2章 分析方法或前提条件

  • 分析流程
  • 分析方法
  • 受访者简介

第3章 摘要整理

  • 产业摘要
  • 各市场区隔预测
    • 市场成长的强度
  • 地区展望

第4章 市场动态

  • 促进因素
  • 机会
  • 阻碍因素
  • 趋势
  • PESTEL分析
  • 需求面分析
  • 供给面分析
    • 企业合併·收购 (M&A)
    • 投资情境
    • 产业考察:主要Start-Ups企业及其独家策略

第5章 价格分析

  • 价格分析:各地区
  • 价格的影响因素

第6章 全球观光业AI的市场收益 (2022～2032年)

第7章 市场分析:各类型

  • 航空旅游
  • 铁路旅游
  • 邮轮旅游

第8章 市场分析:各部署方式

  • 内部部署
  • 云端基础

第9章 市场分析:各解决方案

  • 虚拟助手·聊天机器人
  • 价格设定·收益管理
  • 预约管理系统

第10章 市场分析:各地区

  • 北美
    • 美国
    • 加拿大
    • 其他北美地区
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 义大利
    • 其他欧洲地区
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 全球其他地区

第11章 价值链分析

  • 限制分析
  • 市场参与企业一览

第12章 竞争情形

  • 竞争仪表板
  • 企业的市场定位分析
  • 波特的五力分析

第13章 企业简介

  • Snowflake Inc.
    • 企业概要
    • 主要的财务指标
    • SWOT分析
    • 产品系列
    • 近几年趋势
  • NVIDIA Corporation
  • IBM
  • Microsoft
  • Amazon Web Services, Inc.
  • Salesforce, Inc.
  • HUAWEI Developers
  • Sabre GLBL Inc.
  • SAS Institute Inc.
  • Amadeus Hospitality

第14章 缩写与前提条件

第15章 附录

简介目录
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