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자율 데이터 플랫폼 시장 규모, 점유율, 동향 분석 보고서 : 구성요소별, 전개별, 기업 규모별, 최종 용도별, 지역별, 부문별 예측(2025-2030년)

Autonomous Data Platform Market Size, Share, & Trends Analysis Report By Component (Platform, Services), By Deployment, By Enterprise Size, By End Use, By Region, And Segment Forecasts, 2025 - 2030
발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 125 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.

자율형 데이터 플랫폼 시장 성장 및 동향:

Grand View Research, Inc.의 최신 보고서에 따르면, 세계 자율 데이터 플랫폼 시장 규모는 2030년까지 69억 1,000만 달러에 달할 것이며, 2025년부터 2030년까지 연평균 26.0%로 확대될 것으로 성장할 것으로 추정됩니다.

오픈 소스 빅데이터 툴이 광범위하게 개발되고, 이전보다 더 많은 양의 데이터에 쉽게 접근할 수 있게 되었으며, 기업 내 문화가 컨텐츠에 기반한 의사결정으로 변화하면서 자율형 데이터 플랫폼 도입이 가능해졌습니다. 클라우드 플랫폼의 협업, 접근성, 비용 효율성이 향상됨에 따라 클라우드 기반 자율 데이터 플랫폼에 대한 수요가 증가할 것으로 예상되며, BFSI 및 소매 부문에서는 고객에게 편리한 서비스를 제공하기 위한 실시간 분석에 자율 데이터 플랫폼이 광범위하게 사용되고 있습니다. 플랫폼이 폭넓게 활용되고 있어 시장 성장의 원동력이 될 것으로 예측됩니다.

자동화와 디지털화가 가속화됨에 따라 기업들은 비즈니스의 빠른 성장 속도에 대응하기 위해 기술 기반 솔루션을 활용하는 방향으로 전환하고 있습니다. 예측 기간 동안 아시아태평양과 같은 신흥 경제권에서 클라우드 기반 서비스를 채택하는 신생 기업들이 자율 데이터 플랫폼 산업의 성장을 촉진할 것으로 예상됩니다. 또한, 클라우드 기반 솔루션이 제공하는 부정행위 탐지, 보안 강화, 협업 기회 증가 등의 기능은 비즈니스 생산성과 조직 전반의 성장을 촉진할 것으로 예상됩니다.

자율형 데이터 도구는 중요한 비즈니스 과제를 해결하고 효율적인 데이터베이스 활용을 보장하기 위해 특정 고객의 빅데이터 인프라를 조사합니다. 이 플랫폼을 통해 기업은 성장하고 데이터 관리 기술을 향상시킬 수 있습니다. 주로 빅데이터 인프라를 관리하고 개선하기 위해 구축되었습니다. 이 플랫폼은 또한 배포, 안전, 오류 처리 및 업데이트를 위한 엔드 투 엔드 자동화, 효율성 및 가용성을 제공합니다. 모든 인프라 관리, 모니터링 및 튜닝 기능의 자동화를 통해 자율주행 데이터베이스로도 알려져 있습니다. 이처럼 자율주행 데이터 플랫폼이 제공하는 이점이 이 시장의 성장을 견인하고 있습니다.

자율형 데이터 플랫폼 시장 보고서 하이라이트

  • 플랫폼 부문은 2023년 68% 이상의 가장 큰 매출 점유율을 차지했습니다. 이 부문의 성장은 클라우드 및 모바일 기술의 기술 발전과 함께 데이터 저장 능력을 향상시키는 분석 수요의 급증에 기인합니다.
  • 온프레미스 부문은 예측 기간 동안 52%의 CAGR을 기록할 것으로 예상됩니다. 사용자 비밀번호와 기업 활동의 프라이버시를 중요하게 여기는 기업에서 온프레미스 모델이 널리 사용되고 있어 이 부문의 성장을 견인하고 있습니다.
  • 중소기업 부문은 AI 및 ML과 같은 디지털 기술을 빠르게 도입하여 제품 및 서비스의 성장을 가속화하기 위해 AI 및 ML과 같은 디지털 기술을 도입하고 있기 때문에 예측 기간 동안 큰 CAGR로 성장할 것으로 예상됩니다.
  • BFSI 부문은 예측 기간 동안 CAGR 20%로 성장할 것으로 예상되며, BFSI 부문의 적시 부정 방지 수요 증가로 인한 빅데이터 분석에 대한 수요 증가와 거래 및 업무로 인해 주식 시장에서 생성되는 데이터의 양이 증가함에 따라 BFSI 부문에서 자율 데이터 플랫폼에 대한 수요를 증가시킬 것으로 예상됩니다.
  • 아시아태평양의 자율 데이터 플랫폼 시장은 2025년부터 2030년까지 연평균 27.7%의 높은 성장률을 보일 것으로 예상됩니다. 이 지역의 경제가 호황을 누리고 있기 때문에 이 지역 국가들은 최첨단 AI 기술에 많은 투자를 할 수 있습니다.
  • 주요 업계 참여업체로는 Oracle, 테라데이타, IBM, 아마존웹서비스, 휴렛팩커드 엔터프라이즈 개발 LP, 큐볼(Qubole), 클라우데라(Cloudera), 제미니 데이터(Gemini Data), 데노도 테크놀러지스(Denodo Technologies), 알테릭스(Alteryx) 등이 있습니다.

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 자율형 데이터 플랫폼 시장 변수, 동향, 범위

  • 시장 소개/계통 전망
  • 업계 밸류체인 분석
  • 시장 역학
    • 시장 성장 촉진요인 분석
    • 시장 성장 억제요인 분석
    • 업계 기회
  • 자율형 데이터 플랫폼 시장 분석 툴
    • Porters 분석
    • PESTEL 분석

제4장 자율형 데이터 플랫폼 시장 : 구성요소 추정·동향 분석

  • 부문 대시보드
  • 자율형 데이터 플랫폼 시장 : 컴포넌트 변동 분석, 2023년 및 2030년
  • 플랫폼
  • 서비스
    • 어드바이스
    • 통합
    • 지원과 유지관리

제5장 자율형 데이터 플랫폼 시장 : 전개 추정·동향 분석

  • 부문 대시보드
  • 자율형 데이터 플랫폼 시장 : 전개 변동 분석, 2023년 및 2030년
  • 온프레미스
  • 클라우드

제6장 자율형 데이터 플랫폼 시장 : 기업 규모 추정·동향 분석

  • 부문 대시보드
  • 자율형 데이터 플랫폼 시장 : 전개 변동 분석, 2023년 및 2030년
  • 대기업
  • 중소기업

제7장 자율형 데이터 플랫폼 시장 : 최종 용도 추정·동향 분석

  • 부문 대시보드
  • 자율형 데이터 플랫폼 시장 : 최종 용도 변동 분석, 2023년 및 2030년
  • BFSI
  • 헬스케어
  • 소매
  • 제조업
  • IT 및 통신
  • 정부
  • 기타

제8장 자율형 데이터 플랫폼 시장 : 지역 추정·동향 분석

  • 자율형 데이터 플랫폼 시장 점유율, 지역별, 2023년 및 2030년
  • 북미
    • 구성요소별, 2018-2030년
    • 전개별, 2018-2030년
    • 기업 규모별, 2018-2030년
    • 최종 용도별, 2018-2030년
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 구성요소별, 2018-2030년
    • 전개별, 2018-2030년
    • 기업 규모별, 2018-2030년
    • 최종 용도별, 2018-2030년
    • 영국
    • 독일
    • 프랑스
  • 아시아태평양
    • 구성요소별, 2018-2030년
    • 전개별, 2018-2030년
    • 기업 규모별, 2018-2030년
    • 최종 용도별, 2018-2030년
    • 중국
    • 인도
    • 일본
    • 호주
    • 한국
  • 라틴아메리카
    • 구성요소별, 2018-2030년
    • 전개별, 2018-2030년
    • 기업 규모별, 2018-2030년
    • 최종 용도별, 2018-2030년
    • 브라질
  • 중동 및 아프리카
    • 구성요소별, 2018-2030년
    • 전개별, 2018-2030년
    • 기업 규모별, 2018-2030년
    • 최종 용도별, 2018-2030년
    • 아랍에미리트
    • 사우디아라비아
    • 남아프리카공화국

제9장 경쟁 상황

  • 주요 시장 진출 기업의 최근 동향과 영향 분석
  • 기업 분류
  • 기업 시장 점유율 분석, 2023년
  • 기업 히트맵 분석
  • 전략 매핑
    • 확대
    • 인수합병
    • 파트너십과 협업
    • 신제품 발매
    • 연구개발
  • 기업 개요
    • Oracle
    • Teradata
    • IBM Corporation
    • Amazon Web Services, Inc.
    • Hewlett Packard Enterprise Development LP
    • Qubole, Inc.
    • Cloudera, Inc.
    • Gemini Data
    • Denodo Technologies
    • Alteryx, Inc.
ksm 24.11.25

Autonomous Data Platform Market Growth & Trends:

The global autonomous data platform market size is estimated to reach USD 6.91 billion by 2030, expanding at a CAGR of 26.0% from 2025 to 2030, according to a new report by Grand View Research, Inc. A broad array of developing open-source big data tools, the accessibility of ever-larger quantities of data, and a shift in culture inside companies toward content decision-making, make it feasible to adopt autonomous data platforms. As a result of the cloud platform's improved collaboration, accessibility, and cost-effectiveness it is anticipated to increase the demand for cloud-based autonomous data platforms. The extensive use of autonomous data platforms in real-time analytics, to offer convenient services to customers, in the BFSI and retail sectors is anticipated to drive market growth.

The global rise in automation and digitization has made businesses switch towards using technology-driven solutions to meet the rapid pace of business growth. Emerging businesses that adopt cloud-based services, mainly in developing economies such as the Asia Pacific, are expected to fuel the growth of the autonomous data platform industry over the forecast period. Further, features such as fraud detection, improved security, and increased collaboration opportunities, provided by the cloud-based solutions are expected to increase business productivity and overall growth of an organization.

To address critical business issues and ensure efficient database usage, an autonomous data tool examines a particular customer's big data infrastructure. Businesses can grow and improve their data management skills due to this platform. They were primarily built to manage and improve big data infrastructure. The platform also offers deployment, safety, error handling, end-to-end automation for updates, efficiency, and availability. Due to the automation of all infrastructure administration, monitoring, and tuning functions, it is also known as a self-driving database. Thus, the benefits offered by autonomous data platforms are propelling the growth of this market.

Autonomous Data Platform Market Report Highlights:

  • The platform segment accounts for the largest revenue share of over 68% in 2023. The segment growth can be attributed to the technological advancements in cloud and mobile technologies along with the surge in demand for analytics to improve data storing ability
  • The on-premise segment is expected to register a CAGR of 52% during the forecast period. Where user passwords and the privacy of corporate activities are highly important, one- premise model is widely used by those businesses, supporting the segment growth
  • The SMEs segment is expected to grow at a significant CAGR during the forecast period, owing to the early adoption of digital technology such as AI and ML by these organizations to accelerate the growth of their products and services
  • The BFSI segment is presumed to grow at a CAGR of 20% over the forecast period. The rise in demand for big data analytics owing to the increased demand for timely fraud prevention in the BFSI sector and expanding volume of data generated by the equity market due to trade and operations is anticipated to elevate the demand for autonomous data platforms in the BFSI segment
  • The autonomous data platform market in Asia Pacific is growing significantly at a CAGR of 27.7% from 2025 to 2030. The region's strong economy enables these countries to make significant investments in cutting-edge AI technologies
  • The key industry participants include Oracle Corporation; Teradata; IBM; Amazon Web Services, Inc.; Hewlett Packard Enterprise Development LP; Qubole, Inc.; Cloudera, Inc.; Gemini Data; Denodo Technologies; and Alteryx, Inc.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Methodology segmentation & scope
  • 1.2. Market Definitions
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

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

Chapter 3. Autonomous Data Platform Market Variables, Trends & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Drivers Analysis
    • 3.3.2. Market Restraints Analysis
    • 3.3.3. Industry Opportunities
  • 3.4. Autonomous Data Platform Market Analysis Tools
    • 3.4.1. Porter's Analysis
      • 3.4.1.1. Bargaining power of the suppliers
      • 3.4.1.2. Bargaining power of the buyers
      • 3.4.1.3. Threats of substitution
      • 3.4.1.4. Threats from new entrants
    • 3.4.2. PESTEL Analysis
      • 3.4.2.1. Political landscape
      • 3.4.2.2. Economic and Social landscape
      • 3.4.2.3. Technological landscape
      • 3.4.2.4. Environmental landscape
      • 3.4.2.5. Legal landscape

Chapter 4. Autonomous Data Platform Market: Component Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Autonomous Data Platform Market: Component Movement Analysis, 2023 & 2030 (USD Billion)
  • 4.3. Platform
    • 4.3.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 4.4. Services
    • 4.4.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)
    • 4.4.2. Advisory
      • 4.4.2.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)
    • 4.4.3. Integration
      • 4.4.3.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)
    • 4.4.4. Support and Maintenance
      • 4.4.4.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)

Chapter 5. Autonomous Data Platform Market: Deployment Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Autonomous Data Platform Market: Deployment Movement Analysis, 2023 & 2030 (USD Billion)
  • 5.3. On-premise
    • 5.3.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 5.4. Cloud
    • 5.4.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)

Chapter 6. Autonomous Data Platform Market: Enterprise Size Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Autonomous Data Platform Market: Deployment Movement Analysis, 2023 & 2030 (USD Billion)
  • 6.3. Large Enterprises
    • 6.3.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 6.4. SMEs
    • 6.4.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)

Chapter 7. Autonomous Data Platform Market: End Use Estimates & Trend Analysis

  • 7.1. Segment Dashboard
  • 7.2. Autonomous Data Platform Market: End Use Movement Analysis, 2023 & 2030 (USD Billion)
  • 7.3. BFSI
    • 7.3.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 7.4. Healthcare
    • 7.4.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 7.5. Retail
    • 7.5.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 7.6. Manufacturing
    • 7.6.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 7.7. IT and Telecom
    • 7.7.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 7.8. Government
    • 7.8.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)
  • 7.9. Others
    • 7.9.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Billion)

Chapter 8. Autonomous Data Platform Market: Regional Estimates & Trend Analysis

  • 8.1. Autonomous Data Platform Market Share, By Region, 2023 & 2030 (USD Billion)
  • 8.2. North America
    • 8.2.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
    • 8.2.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
    • 8.2.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
    • 8.2.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
    • 8.2.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.2.6. U.S.
      • 8.2.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.2.6.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.2.6.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.2.6.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.2.6.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.2.7. Canada
      • 8.2.7.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.2.7.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.2.7.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.2.7.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.2.7.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.2.8. Mexico
      • 8.2.8.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.2.8.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.2.8.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.2.8.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.2.8.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
  • 8.3. Europe
    • 8.3.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
    • 8.3.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
    • 8.3.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
    • 8.3.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
    • 8.3.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.3.6. UK
      • 8.3.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.3.6.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.3.6.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.3.6.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.3.6.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.3.7. Germany
      • 8.3.7.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.3.7.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.3.7.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.3.7.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.3.7.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.3.8. France
      • 8.3.8.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.3.8.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.3.8.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.3.8.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.3.8.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
  • 8.4. Asia Pacific
    • 8.4.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
    • 8.4.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
    • 8.4.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
    • 8.4.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
    • 8.4.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.4.6. China
      • 8.4.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.4.6.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.6.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.6.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.6.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.4.7. India
      • 8.4.7.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.4.7.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.7.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.7.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.7.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.4.8. Japan
      • 8.4.8.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.4.8.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.8.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.8.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.8.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.4.9. Australia
      • 8.4.9.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.4.9.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.9.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.9.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.9.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.4.10. South Korea
      • 8.4.10.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.4.10.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.10.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.10.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.4.10.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
  • 8.5. Latin America
    • 8.5.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
    • 8.5.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
    • 8.5.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
    • 8.5.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
    • 8.5.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.5.6. Brazil
      • 8.5.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.5.6.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.5.6.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.5.6.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.5.6.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
  • 8.6. Middle East & Africa
    • 8.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
    • 8.6.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
    • 8.6.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
    • 8.6.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
    • 8.6.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.6.6. UAE
      • 8.6.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.6.6.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.6.6.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.6.6.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.6.6.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.6.7. Saudi Arabia
      • 8.6.7.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.6.7.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.6.7.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.6.7.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.6.7.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)
    • 8.6.8. South Africa
      • 8.6.8.1. Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
      • 8.6.8.2. Market estimates and forecast by component, 2018 - 2030 (Revenue, USD Billion)
      • 8.6.8.3. Market estimates and forecast by deployment, 2018 - 2030 (Revenue, USD Billion)
      • 8.6.8.4. Market estimates and forecast by enterprise size, 2018 - 2030 (Revenue, USD Billion)
      • 8.6.8.5. Market estimates and forecast by end use, 2018 - 2030 (Revenue, USD Billion)

Chapter 9. Competitive Landscape

  • 9.1. Recent Developments & Impact Analysis by Key Market Participants
  • 9.2. Company Categorization
  • 9.3. Company Market Share Analysis, 2023
  • 9.4. Company Heat Map Analysis
  • 9.5. Strategy Mapping
    • 9.5.1. Expansion
    • 9.5.2. Mergers & Acquisition
    • 9.5.3. Partnerships & Collaborations
    • 9.5.4. New Product Launches
    • 9.5.5. Research And Development
  • 9.6. Company Profiles
    • 9.6.1. Oracle
      • 9.6.1.1. Participant's Overview
      • 9.6.1.2. Financial Performance
      • 9.6.1.3. Product Benchmarking
      • 9.6.1.4. Recent Developments
    • 9.6.2. Teradata
      • 9.6.2.1. Participant's Overview
      • 9.6.2.2. Financial Performance
      • 9.6.2.3. Product Benchmarking
      • 9.6.2.4. Recent Developments
    • 9.6.3. IBM Corporation
      • 9.6.3.1. Participant's Overview
      • 9.6.3.2. Financial Performance
      • 9.6.3.3. Product Benchmarking
      • 9.6.3.4. Recent Developments
    • 9.6.4. Amazon Web Services, Inc.
      • 9.6.4.1. Participant's Overview
      • 9.6.4.2. Financial Performance
      • 9.6.4.3. Product Benchmarking
      • 9.6.4.4. Recent Developments
    • 9.6.5. Hewlett Packard Enterprise Development LP
      • 9.6.5.1. Participant's Overview
      • 9.6.5.2. Financial Performance
      • 9.6.5.3. Product Benchmarking
      • 9.6.5.4. Recent Developments
    • 9.6.6. Qubole, Inc.
      • 9.6.6.1. Participant's Overview
      • 9.6.6.2. Financial Performance
      • 9.6.6.3. Product Benchmarking
      • 9.6.6.4. Recent Developments
    • 9.6.7. Cloudera, Inc.
      • 9.6.7.1. Participant's Overview
      • 9.6.7.2. Financial Performance
      • 9.6.7.3. Product Benchmarking
      • 9.6.7.4. Recent Developments
    • 9.6.8. Gemini Data
      • 9.6.8.1. Participant's Overview
      • 9.6.8.2. Financial Performance
      • 9.6.8.3. Product Benchmarking
      • 9.6.8.4. Recent Developments
    • 9.6.9. Denodo Technologies
      • 9.6.9.1. Participant's Overview
      • 9.6.9.2. Financial Performance
      • 9.6.9.3. Product Benchmarking
      • 9.6.9.4. Recent Developments
    • 9.6.10. Alteryx, Inc.
      • 9.6.10.1. Participant's Overview
      • 9.6.10.2. Financial Performance
      • 9.6.10.3. Product Benchmarking
      • 9.6.10.4. Recent Developments
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