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市場調查報告書

2020年旅遊業的人工智能(AI):主題調查

Artificial Intelligence (AI) in Travel and Tourism, 2020 Update - Thematic Research

出版商 GlobalData 商品編碼 969157
出版日期 內容資訊 英文 82 Pages
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2020年旅遊業的人工智能(AI):主題調查 Artificial Intelligence (AI) in Travel and Tourism, 2020 Update - Thematic Research
出版日期: 2020年10月26日內容資訊: 英文 82 Pages
簡介

人工智能(AI)隨處可見,並且正在影響生活的各個方面,並且在接下來的幾年中,它將對各行業公司的生存至關重要。在旅行和旅遊業中,基於AI的解決方案已在整個供應鏈中引入,可通過數位助理,自助登機和臉部識別技術實現複雜而高效的客戶參與。

AI不僅可以用於為客戶提供服務,還可以基於適當的信息來響應緊急情況,對於公司做出有效的決策也很有效。

本報告調查了旅遊業的AI市場,包括技術概述,技術和監管趨勢,行業分析,市場規模和增長預測,案例研究以及針對該行業的AI。它提供諸如影響力和價值鏈之類的信息。

報告重點

  • AI提供有效的客戶參與度,不僅幫助服務於客戶,而且還幫助應對已知的緊急情況並在企業中做出有效的決策。
  • 投資能夠及時響應不斷變化的需求的聊天機器人和虛擬助手是集成AI的有效步驟,但需要其他努力來最大化AI帶來的機會。
  • 隨著可持續發展成為企業戰略的重要支柱,人工智能正在革新公司有效管理資源的方式,並幫助建立可持續的商業模式。
  • 許多公司為數位技術的災難性變化做好了準備,而AI被公認為是有助於改善最終用戶,盈利能力和整體效率的關鍵技術之一。
  • 許多旅行和旅遊業提供商經常與技術公司合作使用AI,而開發新技術的最常見策略是與技術提供商合作。

目錄

執行摘要

  • 關聯公司
  • 技術概述
  • 趨勢
  • 旅行和旅遊趨勢
  • 技術趨勢
  • 宏觀經濟趨勢
  • 監管趨勢
  • 行業分析
  • 市場規模和增長預測
  • 併購
  • 時間軸
  • 案例研究
  • 人工智能對行業的影響
  • 價值鏈
  • 機器學習
  • 數據科學
  • 對話平台
  • 電腦視覺
  • AI芯片
  • 智能機器人
  • 上下文感知計算
  • 公司
  • 旅行和旅遊公司
  • 上市公司
  • 非上市公司
  • 行業記分卡
  • 應用軟件部門記分卡
  • 半導體行業記分卡
  • 詞彙表

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目錄
Product Code: GDTT-TR-S038

Artificial intelligence (AI) is everywhere and it has an impact on all our lives. Over the next few years, AI will be essential to the survival of companies across all sectors. Within travel and tourism there is steady adoption of AI-based solutions recognizable across the whole supply chain. From digital-assistants, to human-less check-in and facial recognition, AI is facilitating smarter and more efficient customer engagement. Beyond servicing the customer, AI can also be utilized for better and more informed contingency management, helping companies make effective decisions.

This thematic research report takes an in-depth look at the role of AI within the travel and tourism sector. The report looks at trends within tourism that are related to AI offering an array of case studies offering a deep dive into how company are utilizing this theme and the outcome. This is followed by an analysis on the impacts of AI, then offering recommendations for companies that are looking to utilize this technology.

The tourism sector is a service based field as ultimately, the end goal for all companies, stakeholders and suppliers is to provide a satisfactory experience. The use cases of AI demonstrate the multitude of ways that AI has helped industries across travel and tourism generally improve the traveler experience. The term 'personalization' has long been circulating the travel sector as companies, operators and tourism boards aim to offer the ultimate experience for individuals. Any technology that can help achieve this goal will prove beneficial and heighten the guest experience and AI can be considered critical in reaching this goal

Key Highlights

  • From digital-assistants, to human-less check-in and facial recognition, AI is facilitating smarter and more efficient customer engagement. Beyond servicing the customer, AI can also be utilized for better and more informed contingency management, helping companies make effective decisions.
  • Simply investing in chatbots and virtual assistants that can service demand in a timely manner is an effective step to integrating AI but does not make the most of the opportunity that AI can bring to an organization.
  • Sustainability is now a critical pillar in corporate strategies as companies decipher how they will tackle climate change. AI has revolutionized the way businesses can efficiently manage resources, vastly contributing to creating a more sustainable business model.
  • 77% of respondents in GlobalData's emerging technology travel trends survey 2020, declared that they were prepared for a 'digital disruption'. AI is identified as one of the major technologies that has multiple use cases where it will benefit the end-user, company profitability and overall efficiency.
  • Trusting experts seems to be the path to take as the majority of travel and tourism providers commonly partner with a technology company when utilizing AI. GlobalData's emerging technology travel trends survey in 2019 found that the most common strategy for developing emerging technologies was through partnering with a technology provider (54%).

Scope

  • This thematic report provides an overview of how AI is driving change across the travel and tourism sector today.
  • The key trends within this theme reflect how different companies are benefitting from AI driven solutions and the opportunities it can provide.
  • Several case studies are included looking across the travel and tourism supply chain to identify when, where and who major players have partnered with to incorporate AI into their organization.
  • The impacts of AI are then discussed to identify how this pivotal theme has changed and will continue to change the travel sector today.
  • A series of recommendations are then laid out to inform companies on areas that should be considered when adopting this critical theme.

Reasons to Buy

  • Understand what AI is and how this has and will continue to affect the travel and tourism sector in the future.
  • Access how businesses are utilizing AI to improve customer engagement, drive operational efficiency and how this can aid in contingency management.
  • GlobalData's thematic research ecosystem is a single, integrated global research platform that provides an easy-to-use framework for tracking all themes across all companies in all sectors. It has a proven track record of identifying the important themes early, enabling companies to make the right investments ahead of the competition, and secure that all-important competitive advantage.
  • There are notable examples of how companies across the travel and tourism supply chain are utilizing AI to drive changes within the travel space and therefore all (airlines, intermediaries, lodging providers, cruise operators, airports, etc). should buy this report to fully understand how AI is a key theme for future development.
  • Understand the impacts of AI and how this will drive organizational change.
  • Discover recommendations that will help your company integrate AI-driven solutions contributing to a more efficient and adept business model.

Table of Contents

Table of Contents

Executive summary

  • Players
  • Technology briefing
  • Trends
  • Trends within Travel and Tourism
  • Technology trends
  • Macroeconomic trends
  • Regulatory trends
  • Industry analysis
  • Market size and growth forecasts
  • Mergers and acquisitions
  • Timeline
  • Case studies within Travel and Tourism
  • Impact of AI on Travel and Tourism
  • Value chain
  • Machine learning
  • Data science
  • Conversational platforms
  • Computer vision
  • AI chips
  • Smart robots
  • Context-aware computing
  • Companies
  • Companies within travel and tourism
  • Public companies
  • Private companies
  • Sector scorecards
  • Application software sector scorecard
  • Semiconductor sector scorecard
  • Glossary