시장보고서
상품코드
1726200

관광업용 AI 시장 규모, 점유율, 동향 분석 보고서 : 제공별, 최종 용도별, 지역별, 부문 예측(2025-2030년)

AI in Tourism Market Size, Share & Trends Analysis Report By Offering (Solution, Services), By End Use (Transportation & Mobility Services, Travel Technology Platforms & Solution Providers), By Region, And Segment Forecasts, 2025 - 2030

발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 200 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

관광업용 AI 시장 규모와 동향

세계의 관광업용 AI 시장 규모는 2024년에 33억 7,300만 달러에 달했고, 2025-2030년에 걸쳐 26.7%의 연평균 복합 성장률(CAGR)을 나타낼 것으로 예측되고 있습니다.

여행 및 관광 플랫폼은 각 여행자의 특정 관심을 반영한 실시간으로 추천을 제공하기 위해 AI를 이용하도록 되어 왔습니다.

이 수준의 맞춤화는 사용자 만족도를 향상시킬뿐만 아니라 여행자 참여도와 전환율을 높입니다. 예를 들어 2024년 12월 Wipro는 태국의 AI 인프라 서비스 제공업체인 SIAM.AI와 협력하여 Nvidia Corporation의 AI 플랫폼을 이용하여 실시간으로 개인화된 여행 정보와 지원을 제공하는 태국 정부관광청의 AI 탑재 어시스턴트 Sukjai를 개발하였습니다.

관광 서비스의 질과 효율을 향상시키기 위해 빅데이터와 AI 분석을 활용하는 기업이 늘어나고 있습니다. 첨단 물류 최적화를 통해 지연을 줄이고 업무를 간소화하고 보다 원활한 여행 경험에 기여할 수 있습니다. 예를 들어, 2024년 2월 MWC 바르셀로나 2024에서 공개한 화웨이 이니셔티브의 일환으로 지능형 기술로 교통을 혁신하는 데 초점을 맞춘 네 가지 새로운 ICT 솔루션을 소개했습니다. 톈진항 그룹 및 코트디부아르 교통부와 같은 기관과의 협업은 인프라를 최적화하고 실시간 운영 가시성을 개선하며 승객 안전을 강화하기 위해 AI, 빅데이터 및 5G를 사용하는 것을 반영합니다. 예측 유지 보수, 실시간 서비스 업데이트 및 물류 최적화를 위해 데이터 기반 시스템을 사용하는 방법을 보여줍니다.

관광 서비스 전체의 안전 대책을 강화하기 위해 AI 시스템을 채용하는 기업이 늘어나고 있습니다. 로케이션 기반의 AI 기능은 환경과 사회적 데이터를 분석하여 상황 인식을 가능하게 하고 있습니다.

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 관광업용 AI 시장 변수, 동향, 범위

  • 세계의 관광업용 AI 시장 전망
  • 산업 밸류체인 분석
  • 시장 역학
    • 시장 성장 촉진요인 분석
    • 시장 성장 억제요인 분석
    • 산업의 과제
  • Porter's Five Forces 분석
    • 공급자의 협상력
    • 구매자의 협상력
    • 대체 위협
    • 신규 참가로부터의 위협
    • 경쟁 기업간 경쟁 관계
  • PESTEL 분석
    • 정치
    • 경제
    • 사회
    • 기술
    • 환경
    • 법적

제4장 관광업용 AI 시장 : 제공 제품의 추정과 예측

  • 관광업용 AI 시장 : 제공 제품 변동 분석(2024년, 2030년)

제5장 관광업용 AI 시장 : 최종 용도의 추정과 예측

  • 관광업용 AI시장 : 최종 용도 변동 분석(2024년, 2030년)

제6장 관광업용 AI시장 : 지역별, 추정 및 동향 분석

  • 관광업용 AI 시장 점유율(지역별(2024년, 2030년))
  • 북미
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 영국
    • 독일
    • 프랑스
  • 아시아태평양
    • 중국
    • 일본
    • 인도
    • 호주
    • 한국
  • 라틴아메리카
    • 브라질
  • 중동 및 아프리카
    • 사우디아라비아
    • 아랍에미리트(UAE)
    • 남아프리카

제7장 경쟁 구도

  • 주요 시장 진출기업에 의한 최근의 동향과 영향 분석
  • 공급업체 상황
    • 기업 분류
    • 주요 리셀러와 채널 파트너 목록
    • 잠재고객 목록/목록
  • 경쟁학
    • 경쟁 벤치마킹
    • 전략 매핑
    • 히트맵 분석
  • 기업 프로파일/상장 기업
    • Apple Inc.
    • Amazon Web Services, Inc.(AWS)
    • Appier Inc.
    • Huawei Technologies Co., Ltd.
    • IBM Corporation
    • Microsoft
    • NVIDIA Corporation
    • Sabre Corporation
    • Salesforce, Inc.
    • SAS Institute Inc.
    • Snowflake Inc.
KTH 25.05.27

AI in Tourism Market Size & Trends:

The global AI in tourism market size was estimated at USD 3,373.0 million in 2024 and is projected to grow at a CAGR of 26.7% from 2025 to 2030. Travel and tourism platforms are increasingly using artificial intelligence to offer real-time recommendations that reflect each traveler's specific interests. These systems analyze large volumes of data such as search history, location, and behavior patterns to provide suggestions that align closely with individual preferences.

This level of customization not only improves user satisfaction but also increases engagement and conversion rates for travel providers. As AI adoption deepens across the industry, such personalized experiences are likely to become a fundamental part of tourism platforms. Companies are developing AI-powered assistants that provide real-time, personalized travel information and support local digital transformation efforts. For instance, in December 2024, Wipro, in collaboration with SIAM.AI, an AI infrastructure and services provider in Thailand, and using NVIDIA Corporation's AI platform, developed Sukjai, an AI-powered assistant for the Tourism Authority of Thailand, to offer real-time, personalized travel information and support. This initiative supports Thailand's sovereign AI goals and enhances the tourist experience through multilingual, responsible AI-driven services.

Companies are increasingly utilizing big data and AI analytics to improve the quality and efficiency of tourism services. These tools enable real-time updates that assist both travelers and service providers in making informed decisions. AI-driven predictive maintenance ensures that transportation systems operate without unexpected breakdowns, enhancing reliability. In addition, advanced logistics optimization helps reduce delays and streamline operations, contributing to a more seamless travel experience. For instance, in February 2024, as a part of Huawei's initiatives unveiled at MWC Barcelona 2024, the company introduced four new ICT solutions focused on transforming transportation with intelligent technologies. Collaborations with entities such as Tianjin Port Group and Cote d'Ivoire's Ministry of Transport reflect the use of AI, big data, and 5G to optimize infrastructure, improve real-time operational visibility, and enhance passenger safety. These partnerships show how companies are using data-driven systems for predictive maintenance, real-time service updates, and logistics optimization. Such advancements are directly connected to efforts to improve the efficiency and quality of tourism-related transportation services.

Companies are increasingly adopting AI systems to strengthen safety measures across tourism services. These systems can deliver real-time alerts that notify tourists about weather disruptions, transportation delays, or crowd surges at popular attractions. Emergency guidance is being integrated into apps and platforms, helping travelers navigate crises or unfamiliar environments more confidently. Location-based AI features are also enabling situational awareness by analyzing environmental and social data. This ensures tourists receive timely instructions based on their specific context. Such safety-focused AI tools are becoming essential for building trust and confidence among global travelers.

Global Artificial Intelligence in Tourism Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global artificial intelligence in tourism market report based on offering, end use, and region.

  • Offering Outlook (Revenue, USD Million, 2018 - 2030)
  • Solution
  • Services
  • End Use Outlook (Revenue, USD Million, 2018 - 2030)
  • Transportation & Mobility Services
  • Travel Technology Platforms & Solution Providers
  • Accommodation & Hospitality Providers
  • Tourism Experience & Attraction Operators
  • Regional Outlook (Revenue, USD Million, 2018 - 2030)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
  • Asia Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
  • Latin America
    • Brazil
  • Middle East & Africa (MEA)
    • KSA
    • UAE
    • South Africa

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1. Purchased Database
    • 1.3.2. GVR's Internal Database
    • 1.3.3. Secondary Sources & Third-Party Perspectives
    • 1.3.4. Primary Research
  • 1.4. Information Analysis
    • 1.4.1. Data Analysis Models
  • 1.5. Market Formulation & Data Visualization
  • 1.6. Data Validation & Publishing

Chapter 2. Executive Summary

  • 2.1. Market Insights
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. Artificial Intelligence in Tourism Market Variables, Trends & Scope

  • 3.1. Global Artificial Intelligence in Tourism Market Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint Analysis
    • 3.3.3. Industry Challenges
  • 3.4. Porter's Five Forces Analysis
    • 3.4.1. Supplier Power
    • 3.4.2. Buyer Power
    • 3.4.3. Substitution Threat
    • 3.4.4. Threat from New Entrant
    • 3.4.5. Competitive Rivalry
  • 3.5. PESTEL Analysis
    • 3.5.1. Political Landscape
    • 3.5.2. Economic Landscape
    • 3.5.3. Social Landscape
    • 3.5.4. Technological Landscape
    • 3.5.5. Environmental Landscape
    • 3.5.6. Legal Landscape

Chapter 4. Artificial Intelligence in Tourism Market: Offering Estimates & Forecasts

  • 4.1. Artificial Intelligence in Tourism Market: Offering Movement Analysis, 2024 & 2030
    • 4.1.1. Solution
      • 4.1.1.1. Solution Market estimates and forecast, 2018 - 2030 (USD Million)
    • 4.1.2. Services
      • 4.1.2.1. Services Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 5. Artificial Intelligence in Tourism Market: End Use Estimates & Forecasts

  • 5.1. Artificial Intelligence in Tourism Market: End Use Movement Analysis, 2024 & 2030
    • 5.1.1. Transportation & Mobility Services
      • 5.1.1.1. Transportation & Mobility Services Market estimates and forecast, 2018 - 2030 (USD Million)
    • 5.1.2. Travel Technology Platforms & Solution Providers
      • 5.1.2.1. Travel Technology Platforms & Solution Providers Market estimates and forecast, 2018 - 2030 (USD Million)
    • 5.1.3. Accommodation & Hospitality Providers
      • 5.1.3.1. Accommodation & Hospitality Providers Market estimates and forecast, 2018 - 2030 (USD Million)
    • 5.1.4. Tourism Experience & Attraction Operators
      • 5.1.4.1. Tourism Experience & Attraction Operators Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 6. Artificial Intelligence in Tourism Market: Regional Estimates & Trend Analysis

  • 6.1. Artificial Intelligence in Tourism Market Share, By Region, 2024 & 2030 (USD Million)
  • 6.2. North America
    • 6.2.1. North America Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.2.1.1. North America Artificial Intelligence in Tourism Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 6.2.1.2. North America Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.2.1.3. North America Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.2.2. U.S.
      • 6.2.2.1. U.S. Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.2.2.2. U.S. Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.2.2.3. U.S. Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.2.3. Canada
      • 6.2.3.1. Canada Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.2.3.2. Canada Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.2.3.3. Canada Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.2.4. Mexico
      • 6.2.4.1. Mexico Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.2.4.2. Mexico Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.2.4.3. Mexico Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
  • 6.3. Europe
    • 6.3.1. Europe Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.3.1.1. Europe Artificial Intelligence in Tourism Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 6.3.1.2. Europe Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.3.1.3. Europe Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.3.2. UK
      • 6.3.2.1. UK Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.3.2.2. UK Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.3.2.3. UK Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.3.3. Germany
      • 6.3.3.1. Germany Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.3.3.2. Germany Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.3.3.3. Germany Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.3.4. France
      • 6.3.4.1. France Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.3.4.2. France Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.3.4.3. France Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
  • 6.4. Asia Pacific
    • 6.4.1. Asia Pacific Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.4.1.1. Asia Pacific Artificial Intelligence in Tourism Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 6.4.1.2. Asia Pacific Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.4.1.3. Asia Pacific Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.4.2. China
      • 6.4.2.1. China Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.4.2.2. China Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.4.2.3. China Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.4.3. Japan
      • 6.4.3.1. Japan Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.4.3.2. Japan Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.4.3.3. Japan Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.4.4. India
      • 6.4.4.1. India Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.4.4.2. India Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.4.4.3. India Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.4.5. Australia
      • 6.4.5.1. Australia Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.4.5.2. Australia Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.4.5.3. Australia Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.4.6. South Korea
      • 6.4.6.1. South Korea Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.4.6.2. South Korea Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.4.6.3. South Korea Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
  • 6.5. Latin America
    • 6.5.1. Latin America Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.5.1.1. Latin America Artificial Intelligence in Tourism Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 6.5.1.2. Latin America Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.5.1.3. Latin America Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.5.2. Brazil
      • 6.5.2.1. Brazil Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.5.2.2. Brazil Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.5.2.3. Brazil Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
  • 6.6. Middle East and Africa
    • 6.6.1. Middle East and Africa Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.6.1.1. Middle East and Africa Artificial Intelligence in Tourism Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 6.6.1.2. Middle East and Africa Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering , 2018 - 2030 (USD Million)
      • 6.6.1.3. Middle East and Africa Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.6.2. KSA
      • 6.6.2.1. KSA Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.6.2.2. KSA Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.6.2.3. KSA Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.6.3. UAE
      • 6.6.3.1. UAE Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.6.3.2. UAE Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.6.3.3. UAE Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 6.6.4. South Africa
      • 6.6.4.1. South Africa Artificial Intelligence in Tourism Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 6.6.4.2. South Africa Artificial Intelligence in Tourism Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 6.6.4.3. South Africa Artificial Intelligence in Tourism Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)

Chapter 7. Competitive Landscape

  • 7.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 7.2. Vendor Landscape
    • 7.2.1. Company categorization
    • 7.2.2. List of Key Distributors and channel Partners
    • 7.2.3. List of Potential Customers/Listing
  • 7.3. Competitive Dynamics
    • 7.3.1. Competitive Benchmarking
    • 7.3.2. Strategy Mapping
    • 7.3.3. Heat Map Analysis
  • 7.4. Company Profiles/Listing
    • 7.4.1. Apple Inc.
      • 7.4.1.1. Participant's overview
      • 7.4.1.2. Financial performance
      • 7.4.1.3. End Use benchmarking
      • 7.4.1.4. Strategic initiatives
    • 7.4.2. Amazon Web Services, Inc. (AWS)
      • 7.4.2.1. Participant's overview
      • 7.4.2.2. Financial performance
      • 7.4.2.3. End Use benchmarking
      • 7.4.2.4. Strategic initiatives
    • 7.4.3. Appier Inc.
      • 7.4.3.1. Participant's overview
      • 7.4.3.2. Financial performance
      • 7.4.3.3. End Use benchmarking
      • 7.4.3.4. Strategic initiatives
    • 7.4.4. Huawei Technologies Co., Ltd.
      • 7.4.4.1. Participant's overview
      • 7.4.4.2. Financial performance
      • 7.4.4.3. End Use benchmarking
      • 7.4.4.4. Strategic initiatives
    • 7.4.5. IBM Corporation
      • 7.4.5.1. Participant's overview
      • 7.4.5.2. Financial performance
      • 7.4.5.3. End Use benchmarking
      • 7.4.5.4. Strategic initiatives
    • 7.4.6. Microsoft
      • 7.4.6.1. Participant's overview
      • 7.4.6.2. Financial performance
      • 7.4.6.3. End Use benchmarking
      • 7.4.6.4. Strategic initiatives
    • 7.4.7. NVIDIA Corporation
      • 7.4.7.1. Participant's overview
      • 7.4.7.2. Financial performance
      • 7.4.7.3. End Use benchmarking
      • 7.4.7.4. Strategic initiatives
    • 7.4.8. Sabre Corporation
      • 7.4.8.1. Participant's overview
      • 7.4.8.2. Financial performance
      • 7.4.8.3. End Use benchmarking
      • 7.4.8.4. Strategic initiatives
    • 7.4.9. Salesforce, Inc.
      • 7.4.9.1. Participant's overview
      • 7.4.9.2. Financial performance
      • 7.4.9.3. End Use benchmarking
      • 7.4.9.4. Strategic initiatives
    • 7.4.10. SAS Institute Inc.
      • 7.4.10.1. Participant's overview
      • 7.4.10.2. Financial performance
      • 7.4.10.3. End Use benchmarking
      • 7.4.10.4. Strategic initiatives
    • 7.4.11. Snowflake Inc.
      • 7.4.11.1. Participant's overview
      • 7.4.11.2. Financial performance
      • 7.4.11.3. End Use benchmarking
      • 7.4.11.4. Strategic initiatives
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