시장보고서
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세계의 BDaaS(Big Data as a Service) 시장 : 제품 유형, 최종사용자, 지역별 - 산업 분석, 규모, 점유율, 성장, 동향, 예측(2024-2032년)

Big Data as a Service (BDaaS) Market by Product Type, End-Users, and Geography (North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa): Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2024-2032

발행일: | 리서치사: Persistence Market Research | 페이지 정보: 영문 297 Pages | 배송안내 : 2-5일 (영업일 기준)

    
    
    




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

Persistence Market Research는 세계의 BDaaS(Big Data as a Service) 시장을 상세 분석하고, 주요 역학, 성장 촉진요인·과제, 새로운 동향에 관한 인사이트를 제공하고 있습니다. 2024-2032년 BDaaS 시장 성장의 궤적을 예측하고, 귀중한 데이터와 통계를 제공합니다.

세계의 BDaaS 시장 규모는 2024-2032년에 CAGR 25.7%라는 경이로운 성장을 달성하며, 2024년 425억 달러에서 2032년에는 2,477억 달러에 달할 것으로 예측됩니다.

주요 인사이트

BDaaS 시장의 CAGR(2024-2032년) : 25.7%

BDaaS 시장 규모(2024년) : 425억 달러

BDaaS 시장 규모(2032년) : 2,477억 달러

BDaaS 시장 - 조사 범위 :

BDaaS(Big Data as a Service)는 기업이 방대한 양의 데이터를 효율적으로 관리하고 분석할 수 있는 종합적인 솔루션으로, 확장성, 유연성, 비용 효율성을 제공하여 기업이 대규모 인프라 투자 없이도 빅데이터의 힘을 활용할 수 있도록 지원합니다. BDaaS는 클라우드 플랫폼을 통해 제공되는 데이터 저장, 처리, 분석, 시각화 등 다양한 서비스를 포괄합니다.

세계 BDaaS 시장은 다양한 산업에서 생성되는 데이터 증가와 실행 가능한 인사이트을 얻기 위한 고급 분석의 필요성이 주요 요인으로 작용하고 있습니다. 기업은 경쟁력을 높이고, 의사결정 프로세스를 강화하며, 혁신을 추진하기 위해 BDaaS 솔루션을 도입하는 경향이 증가하고 있습니다. 또한 IoT 기기의 확산과 5G 기술의 등장으로 방대한 데이터 스트림이 생성되면서 BDaaS에 대한 수요가 더욱 증가하고 있습니다.

시장 성장 촉진요인 :

디지털화, IoT 도입, 소셜미디어 사용 등의 요인으로 인해 산업 전반에 걸쳐 데이터가 급격히 증가하고 있는 것이 BDaaS 시장의 주요 촉진요인으로 작용하고 있습니다. 기업은 대규모의 다양한 데이터 세트를 관리하고 가치를 창출하는 데 어려움을 겪고 있으며, 데이터 저장, 처리 및 분석을 위해 BDaaS 솔루션을 사용하도록 유도하고 있습니다. 또한 클라우드 기반 BDaaS 플랫폼이 제공하는 확장성과 유연성은 인프라에 대한 대규모 선행 투자 없이 빅데이터 분석을 활용하고자 하는 조직에게 특히 매력적입니다.

시장 성장 억제요인 :

BDaaS 시장은 큰 성장이 예상되지만, 데이터 프라이버시 및 보안 문제 등 여러 가지 도전과제에 직면해 있습니다. 기업이 데이터 저장 및 처리를 위해 타사 클라우드 프로바이더에 의존하는 경향이 높아지면서 데이터의 기밀성, 무결성 및 가용성을 보장하는 것이 가장 중요한 과제로 떠오르고 있습니다. 또한 유럽의 GDPR(EU 개인정보보호규정)과 미국의 CCPA와 같은 규제 준수 요건은 데이터 보호 및 개인 정보 보호와 관련하여 기업에 엄격한 의무를 부과하고 있으며, BDaaS 프로바이더에게 도전이 되고 있습니다.

시장 기회 :

인공지능(AI) 및 머신러닝(ML) 기술의 채택 증가는 BDaaS 시장에 유리한 기회를 제공합니다. AI 및 ML 알고리즘은 학습 및 추론을 위해 방대한 양의 데이터를 필요로 하기 때문에 확장 가능한 고성능 데이터 처리 및 분석 솔루션에 대한 수요가 증가하고 있습니다. ML 기능을 갖춘 BDaaS 플랫폼은 기업이 데이터에서 가치 있는 인사이트를 도출하고, 예측 분석을 강화하며, 의사결정 프로세스를 자동화할 수 있도록 지원합니다. 또한 BDaaS와 블록체인, 엣지 컴퓨팅과 같은 신기술을 통합하면 시장에서 혁신과 차별화를 위한 새로운 길을 열 수 있습니다.

본 리포트에서 다루는 주요 질문

  • BDaaS 솔루션의 수요를 촉진하고 있는 업계와 주요 사용 사례는?
  • 다양한 규모나 지역의 기업에서 BDaaS의 도입에 영향을 미치는 요인은 무엇인가?
  • 클라우드 컴퓨팅, AI, ML의 진보는 BDaaS 시장의 경쟁 구도를 어떻게 바꾸고 있는가?
  • BDaaS 시장의 주요 기업은 어디이며, 시장 확대와 차별화을 위한 전략은 무엇인가?
  • 세계의 BDaaS 시장의 새로운 동향과 전망은?

목차

제1장 주요 요약

제2장 시장 개요

  • 시장 범위
  • 시장의 정의

제3장 시장 리스크와 동향의 평가

  • 리스크 평가
    • COVID-19 위기와 BDaaS에 대한 영향
    • 과거의 위기와 비교한 COVID-19의 영향 벤치마크
    • 시장 금액에 대한 영향
    • 평가 : 주요 국가별
    • 평가 : 주요 시장 부문별
    • 공급업체에 대한 액션 포인트와 권장사항
  • 시장에 영향을 미치는 주요 동향
  • 처방과 제품 개발의 동향

제4장 시장 배경

  • BDaaS 시장 : 주요 국가별
  • BDaaS 시장 기회 평가
  • 시장 시나리오 예측
  • 투자 실현 가능성 분석
  • 예측 요인 - 관련성과 영향
  • 시장 역학

제5장 성공 열쇠가 되는 요소

  • 제조업체는 보급률이 낮지만 성장률이 높은 시장에 주력
  • 부문의 높은 증분 기회에 대한 뱅킹
  • 피어 벤치마킹

제6장 세계의 BDaaS 시장의 수요 분석(2019-2023년)·예측(2024-2032년)

  • 과거 시장 분석(2019-2023년)
  • 현재·향후 시장 예측(2024-2032년)
  • 전년대비 성장 동향 분석

제7장 세계의 BDaaS 시장 금액 분석(2019-2023년)·예측(2024-2032년)

  • 과거 시장 금액 분석(2019-2023년)
  • 현재·향후 시장 금액 예측(2024-2032년)
    • 전년대비 성장 동향 분석
    • 절대적 이익의 기회 분석

제8장 세계의 BDaaS 시장 분석(2019-2023년)·예측(2024-2032년) : 조직 규모별

  • 서론/주요 조사 결과
  • 과거 시장 규모 분석 : 조직 규모별(2019-2023년)
  • 현재·향후 시장 규모 분석·예측 : 조직 규모별(2024-2032년)
    • 중소기업
    • 대기업
  • 조직 규모별 시장의 매력 분석

제9장 세계의 BDaaS 시장 분석(2019-2023년)·예측(2024-2032년) : 업계별

  • 서론/주요 조사 결과
  • 과거 시장 규모 분석 : 업계별(2019-2023년)
  • 현재·향후 시장 규모 분석·예측 : 업계별(2024-2032년)
    • BFSI
    • 정보기술(IT)과 통신
    • 헬스케어와 생명과학
    • E-Commerce와 소매
    • 제조
    • 미디어와 엔터테인먼트
    • 기타
  • 업계별 시장의 매력 분석

제10장 세계의 BDaaS 시장 분석(2019-2023년)·예측(2024-2032년) : 도입 형태별

  • 서론/주요 조사 결과
  • 과거 시장 규모 분석 : 도입 형태별(2019-2023년)
  • 현재·향후 시장 규모 분석·예측 : 도입 형태별(2024-2032년)
    • 퍼블릭 클라우드
    • 하이브리드 클라우드
    • 프라이빗 클라우드
  • 도입 형태별 시장의 매력 분석

제11장 세계의 BDaaS 시장 분석(2019-2023년)·예측(2024-2032년) : 컴포넌트별

  • 서론/주요 조사 결과
  • 과거 시장 규모 분석 : 컴포넌트별(2019-2023년)
  • 현재·향후 시장 규모 분석·예측 : 컴포넌트별(2024-2032년)
    • 솔루션
    • 서비스
  • 컴포넌트별 시장의 매력 분석

제12장 세계의 BDaaS 시장 분석(2019-2023년)·예측(2024-2032년) : 지역별

  • 서론
  • 과거 시장 규모 분석 : 지역별(2019-2023년)
  • 현재 시장 규모 분석·예측 : 지역별(2024-2032년)
    • 북미
    • 라틴아메리카
    • 유럽
    • 아시아태평양
    • 중동 및 아프리카(MEA)
  • 지역별 시장의 매력 분석

제13장 북미의 BDaaS 시장 분석(2019-2023년)·예측(2024-2032년)

제14장 라틴아메리카의 BDaaS 시장 분석(2019-2023년)·예측(2024-2032년)

제15장 유럽의 BDaaS 시장 분석(2019-2023년)·예측(2024-2032년)

제16장 아시아태평양의 BDaaS 시장 분석(2019-2023년)·예측(2024-2032년)

제17장 중동 및 아프리카의 BDaaS 시장 분석(2019-2023년)·예측(2024-2032년)

제18장 주요 국가의 BDaaS 시장 분석(2019-2023년)·예측(2024-2032년)

  • 서론
    • 주요 국가별 시장 금액 비율 분석
    • 세계와 국가별 성장 비교
  • 미국
    • 시장 분류에 의한 가치 비율 분석
    • 시장 분류에 의한 가치 분석과 예측(2024-2032년)
    • 캐나다
    • 멕시코
    • 브라질
    • 독일
    • 프랑스
    • 이탈리아
    • 베네룩스
    • 영국
    • 북유럽 국가
    • 중국
    • 일본
    • 한국
    • GCC 국가
    • 남아프리카공화국
    • 터키

제19장 시장 구조 분석

  • 시장 분석 : 기업 계층별
  • 시장 집중도
  • 주요 기업의 시장 점유율 분석
  • 시장 입지 분석

제20장 경쟁 분석

  • 경쟁 대시보드
  • 경쟁 벤치마킹
  • 경쟁 심층 분석
    • Google
    • Microsoft
    • Amazon Web Services
    • IBM
    • Oracle
    • SAP
    • Teradata
    • SAS
    • Dell Technologies
    • Hewlett Packard Enterprise

제21장 사용되는 전제 조건과 두자어

제22장 조사 방법

KSA 24.05.09

Persistence Market Research presents an in-depth analysis of the global Big Data as a Service (BDaaS) market, offering insights into key dynamics, growth drivers, challenges, and emerging trends. This report furnishes valuable data and statistics, forecasting the trajectory of BDaaS market growth from 2024 to 2032.

The BDaaS market is anticipated to have a prodigious CAGR of 25.7% during the period of 2024-2032. The BDaaS market is anticipated to reach US$ 247.7 Bn in 2032, from US$ 42.5 Bn in 2024.

Key Insights:

BDaaS Market CAGR (2024-2032): 25.7%

BDaaS Market Size (2024):US$ 42.5 Bn

BDaaS Market Size (2032):US$ 247.7 Bn

BDaaS Market - Report Scope:

Big Data as a Service (BDaaS) is a comprehensive solution that facilitates organizations in managing and analyzing vast amounts of data efficiently. It offers scalability, flexibility, and cost-effectiveness, enabling enterprises to harness the power of big data without significant infrastructure investments. BDaaS encompasses a range of services, including data storage, processing, analytics, and visualization, delivered via cloud platforms.

The global BDaaS market is primarily driven by the escalating volume of data generated across various industries, coupled with the need for advanced analytics to extract actionable insights. Enterprises are increasingly adopting BDaaS solutions to gain a competitive edge, enhance decision-making processes, and drive innovation. Moreover, the proliferation of IoT devices, coupled with the advent of 5G technology, is generating massive data streams, further fueling the demand for BDaaS offerings.

Market Growth Drivers:

The exponential growth of data across industries, driven by factors such as digitalization, IoT adoption, and social media usage, is a primary driver for the BDaaS market. Enterprises are grappling with the challenge of managing and extracting value from large and diverse datasets, prompting them to turn to BDaaS solutions for data storage, processing, and analysis. Additionally, the scalability and flexibility offered by cloud-based BDaaS platforms make them particularly attractive for organizations seeking to leverage big data analytics without heavy upfront investments in infrastructure.

Market Restraints:

Despite the significant growth prospects, the BDaaS market faces certain challenges, including concerns related to data privacy and security. As organizations increasingly rely on third-party cloud providers for data storage and processing, ensuring the confidentiality, integrity, and availability of data becomes paramount. Moreover, regulatory compliance requirements, such as GDPR in Europe and CCPA in the United States, impose stringent obligations on enterprises regarding data protection and privacy, posing challenges for BDaaS providers.

Market Opportunities:

The increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies presents lucrative opportunities for the BDaaS market. AI and ML algorithms require vast amounts of data for training and inference, driving demand for scalable and high-performance data processing and analytics solutions. BDaaS platforms equipped with AI and ML capabilities enable organizations to derive valuable insights from their data, enhance predictive analytics, and automate decision-making processes. Furthermore, the integration of BDaaS with emerging technologies such as blockchain and edge computing opens up new avenues for innovation and differentiation in the market.

Key Questions Answered in the Report:

  • Which industries are driving the demand for BDaaS solutions, and what are the key use cases?
  • What are the factors influencing the adoption of BDaaS among enterprises of different sizes and geographic regions?
  • How are advancements in cloud computing, AI, and ML reshaping the competitive landscape of the BDaaS market?
  • Who are the leading players in the BDaaS market, and what are their strategies for market expansion and differentiation?
  • What are the emerging trends and future prospects in the global BDaaS market?

Competitive Intelligence and Business Strategy:

To maintain a competitive edge in the BDaaS market, key players focus on innovation, strategic partnerships, and geographic expansion. Companies such as Amazon Web Services (AWS), Microsoft Corporation, and Google Cloud Platform (GCP) invest significantly in R&D to enhance their BDaaS offerings and cater to evolving customer requirements. Moreover, strategic collaborations with technology partners and industry stakeholders enable BDaaS providers to leverage complementary expertise and accelerate market penetration.

Key Companies Profiled:

  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Google LLC
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Cloudera, Inc.
  • SAS Institute Inc.
  • Teradata Corporation
  • Informatica LLC

Market Segmentation:

By Component

  • Solutions

oHadoop as a Service (HDaaS)

oData Analytics as a Service (DAaaS)

oOthers

  • Services

By Deployment Type

  • Public Cloud
  • Hybrid Cloud
  • Private Cloud

By Organization Size

  • Large Enterprises
  • SMEs

By Vertical

  • BFSI
  • Information Technology (IT) and Telecom
  • Healthcare and Life Sciences
  • eCommerce and Retail
  • Manufacturing
  • Media and Entertainment
  • Others

By Region

  • North America
  • Europe
  • Asia Pacific
  • Middle East and Africa
  • Latin America

Table of Contents

1. Executive Summary

  • 1.1. Global Market Outlook
  • 1.2. Summary of Statistics
  • 1.3. Key Market Characteristics & Attributes
  • 1.4. Fact.MR Analysis and Recommendations

2. Market Overview

  • 2.1. Market Coverage
  • 2.2. Market Definition

3. Market Risks and Trends Assessment

  • 3.1. Risk Assessment
    • 3.1.1. COVID-19 Crisis and Impact on BDaaS
    • 3.1.2. COVID-19 Impact Benchmark with Previous Crisis
    • 3.1.3. Impact on Market Value (US$ Mn)
    • 3.1.4. Assessment by Key Countries
    • 3.1.5. Assessment by Key Market Segments
    • 3.1.6. Action Points and Recommendation for Suppliers
  • 3.2. Key Trends Impacting the Market
  • 3.3. Formulation and Product Development Trends

4. Market Background

  • 4.1. BDaaS Market, by Key Countries
  • 4.2. BDaaS Market Opportunity Assessment (US$ Mn)
    • 4.2.1. Total Available Market
    • 4.2.2. Serviceable Addressable Market
    • 4.2.3. Serviceable Obtainable Market
  • 4.3. Market Scenario Forecast
    • 4.3.1. Demand in optimistic Scenario
    • 4.3.2. Demand in Likely Scenario
    • 4.3.3. Demand in Conservative Scenario
  • 4.4. Investment Feasibility Analysis
    • 4.4.1. Investment in Established Markets
      • 4.4.1.1. In Short Term
      • 4.4.1.2. In Long Term
    • 4.4.2. Investment in Emerging Markets
      • 4.4.2.1. In Short Term
      • 4.4.2.2. In Long Term
  • 4.5. Forecast Factors - Relevance & Impact
    • 4.5.1. Top Companies Historical Growth
    • 4.5.2. Growth in Automation, By Country
    • 4.5.3. BDaaS Adoption Rate, By Country
  • 4.6. Market Dynamics
    • 4.6.1. Market Driving Factors and Impact Assessment
    • 4.6.2. Prominent Market Challenges and Impact Assessment
    • 4.6.3. BDaaS Market Opportunities
    • 4.6.4. Prominent Trends in the Global Market & Their Impact Assessment

5. Key Success Factors

  • 5.1. Manufacturers' Focus on Low Penetration High Growth Markets
  • 5.2. Banking on with Segments High Incremental Opportunity
  • 5.3. Peer Benchmarking

6. Global BDaaS Market Demand Analysis 2019-2023 and Forecast, 2024-2032

  • 6.1. Historical Market Analysis, 2019-2023
  • 6.2. Current and Future Market Projections, 2024-2032
  • 6.3. Y-o-Y Growth Trend Analysis

7. Global BDaaS Market Value Analysis 2019-2023 and Forecast, 2024-2032

  • 7.1. Historical Market Value (US$ Mn) Analysis, 2019-2023
  • 7.2. Current and Future Market Value (US$ Mn) Projections, 2024-2032
    • 7.2.1. Y-o-Y Growth Trend Analysis
    • 7.2.2. Absolute $ Opportunity Analysis

8. Global BDaaS Market Analysis 2019-2023 and Forecast 2024-2032, By Organization Size

  • 8.1. Introduction / Key Findings
  • 8.2. Historical Market Size (US$ Mn) Analysis By Organization Size, 2019-2023
  • 8.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Organization Size, 2024-2032
    • 8.3.1. SMEs
    • 8.3.2. Large Enterprises
  • 8.4. Market Attractiveness Analysis By Organization Size

9. Global BDaaS Market Analysis 2019-2023 and Forecast 2024-2032, By Vertical

  • 9.1. Introduction / Key Findings
  • 9.2. Historical Market Size (US$ Mn) Analysis By Vertical, 2019-2023
  • 9.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Vertical, 2024-2032
    • 9.3.1. BFSI
    • 9.3.2. Information Technology (IT) and Telecom
    • 9.3.3. Healthcare and Life Sciences
    • 9.3.4. eCommerce and Retail
    • 9.3.5. Manufacturing
    • 9.3.6. Media and Entertainment
    • 9.3.7. Others
  • 9.4. Market Attractiveness Analysis By Vertical

10. Global BDaaS Market Analysis 2019-2023 and Forecast 2024-2032, By Deployment Mode

  • 10.1. Introduction / Key Findings
  • 10.2. Historical Market Size (US$ Mn) Analysis By Deployment Mode, 2019-2023
  • 10.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Deployment Mode, 2024-2032
    • 10.3.1. Public Cloud
    • 10.3.2. Hybrid Cloud
    • 10.3.3. Private Cloud
  • 10.4. Market Attractiveness Analysis By Deployment Mode

11. Global BDaaS Market Analysis 2019-2023 and Forecast 2024-2032, By Component

  • 11.1. Introduction / Key Findings
  • 11.2. Historical Market Size (US$ Mn) Analysis By Component, 2019-2023
  • 11.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Component, 2024-2032
    • 11.3.1. Solutions
      • 11.3.1.1. Hadoop as a Service (HDaaS)
      • 11.3.1.2. Data Analytics as a Service (DAaaS)
      • 11.3.1.3. Others
    • 11.3.2. Services
  • 11.4. Market Attractiveness Analysis By Component

12. Global BDaaS Market Analysis 2019-2023 and Forecast 2024-2032, By Region

  • 12.1. Introduction
  • 12.2. Historical Market Size (US$ Mn) Analysis By Region, 2019-2023
  • 12.3. Current Market Size (US$ Mn) & Analysis and Forecast By Region, 2024-2032
    • 12.3.1. North America
    • 12.3.2. Latin America
    • 12.3.3. Europe
    • 12.3.4. Asia Pacific
    • 12.3.5. Middle East and Africa (MEA)
  • 12.4. Market Attractiveness Analysis By Region

13. North America BDaaS Market Analysis 2019-2023 and Forecast 2024-2032

  • 13.1. Introduction
  • 13.2. Pricing Analysis
  • 13.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2019-2023
  • 13.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2032
    • 13.4.1. By Country
      • 13.4.1.1. U.S.
      • 13.4.1.2. Canada
      • 13.4.1.3. Rest of North America
    • 13.4.2. By Organization Size
    • 13.4.3. By Vertical
    • 13.4.4. By Component
    • 13.4.5. By Deployment Mode
  • 13.5. Market Attractiveness Analysis
    • 13.5.1. By Country
    • 13.5.2. By Organization Size
    • 13.5.3. By Vertical
    • 13.5.4. By Component
    • 13.5.5. By Deployment Mode

14. Latin America BDaaS Market Analysis 2019-2023 and Forecast 2024-2032

  • 14.1. Introduction
  • 14.2. Pricing Analysis
  • 14.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2019-2023
  • 14.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2032
    • 14.4.1. By Country
      • 14.4.1.1. Brazil
      • 14.4.1.2. Mexico
      • 14.4.1.3. Rest of Latin America
    • 14.4.2. By Organization Size
    • 14.4.3. By Vertical
    • 14.4.4. By Component
    • 14.4.5. By Deployment Mode
  • 14.5. Market Attractiveness Analysis
    • 14.5.1. By Country
    • 14.5.2. By Organization Size
    • 14.5.3. By Vertical
    • 14.5.4. By Component
    • 14.5.5. By Deployment Mode

15. Europe BDaaS Market Analysis 2019-2023 and Forecast 2024-2032

  • 15.1. Introduction
  • 15.2. Pricing Analysis
  • 15.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2019-2023
  • 15.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2032
    • 15.4.1. By Country
      • 15.4.1.1. Germany
      • 15.4.1.2. France
      • 15.4.1.3. U.K.
      • 15.4.1.4. Italy
      • 15.4.1.5. Benelux
      • 15.4.1.6. Nordic Countries
      • 15.4.1.7. Rest of Europe
    • 15.4.2. By Organization Size
    • 15.4.3. By Vertical
    • 15.4.4. By Component
    • 15.4.5. By Deployment Mode
  • 15.5. Market Attractiveness Analysis
    • 15.5.1. By Country
    • 15.5.2. By Organization Size
    • 15.5.3. By Vertical
    • 15.5.4. By Component
    • 15.5.5. By Deployment Mode

16. Asia Pacific BDaaS Market Analysis 2019-2023 and Forecast 2024-2032

  • 16.1. Introduction
  • 16.2. Pricing Analysis
  • 16.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2019-2023
  • 16.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2032
    • 16.4.1. By Country
      • 16.4.1.1. China
      • 16.4.1.2. Japan
      • 16.4.1.3. South Korea
      • 16.4.1.4. Rest of Asia Pacific
    • 16.4.2. By Organization Size
    • 16.4.3. By Vertical
    • 16.4.4. By Component
    • 16.4.5. By Deployment Mode
  • 16.5. Market Attractiveness Analysis
    • 16.5.1. By Country
    • 16.5.2. By Organization Size
    • 16.5.3. By Vertical
    • 16.5.4. By Component
    • 16.5.5. By Deployment Mode

17. Middle East and Africa BDaaS Market Analysis 2019-2023 and Forecast 2024-2032

  • 17.1. Introduction
  • 17.2. Pricing Analysis
  • 17.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2019-2023
  • 17.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2032
    • 17.4.1. By Country
      • 17.4.1.1. GCC Countries
      • 17.4.1.2. South Africa
      • 17.4.1.3. Turkey
      • 17.4.1.4. Rest of Middle East and Africa
    • 17.4.2. By Organization Size
    • 17.4.3. By Vertical
    • 17.4.4. By Component
    • 17.4.5. By Deployment Mode
  • 17.5. Market Attractiveness Analysis
    • 17.5.1. By Country
    • 17.5.2. By Organization Size
    • 17.5.3. By Vertical
    • 17.5.4. By Component
    • 17.5.5. By Deployment Mode

18. Key Countries BDaaS Market Analysis 2019-2023 and Forecast 2024-2032

  • 18.1. Introduction
    • 18.1.1. Market Value Proportion Analysis, By Key Countries
    • 18.1.2. Global Vs. Country Growth Comparison
  • 18.2. US BDaaS Market Analysis
    • 18.2.1. Value Proportion Analysis by Market Taxonomy
    • 18.2.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.2.2.1. By Organization Size
      • 18.2.2.2. By Vertical
      • 18.2.2.3. By Component
      • 18.2.2.4. By Deployment Mode
  • 18.3. Canada BDaaS Market Analysis
    • 18.3.1. Value Proportion Analysis by Market Taxonomy
    • 18.3.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.3.2.1. By Organization Size
      • 18.3.2.2. By Vertical
      • 18.3.2.3. By Component
      • 18.3.2.4. By Deployment Mode
  • 18.4. Mexico BDaaS Market Analysis
    • 18.4.1. Value Proportion Analysis by Market Taxonomy
    • 18.4.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.4.2.1. By Organization Size
      • 18.4.2.2. By Vertical
      • 18.4.2.3. By Component
      • 18.4.2.4. By Deployment Mode
  • 18.5. Brazil BDaaS Market Analysis
    • 18.5.1. Value Proportion Analysis by Market Taxonomy
    • 18.5.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.5.2.1. By Organization Size
      • 18.5.2.2. By Vertical
      • 18.5.2.3. By Component
      • 18.5.2.4. By Deployment Mode
  • 18.6. Germany BDaaS Market Analysis
    • 18.6.1. Value Proportion Analysis by Market Taxonomy
    • 18.6.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.6.2.1. By Organization Size
      • 18.6.2.2. By Vertical
      • 18.6.2.3. By Component
      • 18.6.2.4. By Deployment Mode
  • 18.7. France BDaaS Market Analysis
    • 18.7.1. Value Proportion Analysis by Market Taxonomy
    • 18.7.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.7.2.1. By Organization Size
      • 18.7.2.2. By Vertical
      • 18.7.2.3. By Component
      • 18.7.2.4. By Deployment Mode
  • 18.8. Italy BDaaS Market Analysis
    • 18.8.1. Value Proportion Analysis by Market Taxonomy
    • 18.8.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.8.2.1. By Organization Size
      • 18.8.2.2. By Vertical
      • 18.8.2.3. By Component
      • 18.8.2.4. By Deployment Mode
  • 18.9. BENELUX BDaaS Market Analysis
    • 18.9.1. Value Proportion Analysis by Market Taxonomy
    • 18.9.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.9.2.1. By Organization Size
      • 18.9.2.2. By Vertical
      • 18.9.2.3. By Component
      • 18.9.2.4. By Deployment Mode
  • 18.10. UK BDaaS Market Analysis
    • 18.10.1. Value Proportion Analysis by Market Taxonomy
    • 18.10.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.10.2.1. By Organization Size
      • 18.10.2.2. By Vertical
      • 18.10.2.3. By Component
      • 18.10.2.4. By Deployment Mode
  • 18.11. Nordic Countries BDaaS Market Analysis
    • 18.11.1. Value Proportion Analysis by Market Taxonomy
    • 18.11.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.11.2.1. By Organization Size
      • 18.11.2.2. By Vertical
      • 18.11.2.3. By Component
      • 18.11.2.4. By Deployment Mode
  • 18.12. China BDaaS Market Analysis
    • 18.12.1. Value Proportion Analysis by Market Taxonomy
    • 18.12.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.12.2.1. By Organization Size
      • 18.12.2.2. By Vertical
      • 18.12.2.3. By Component
      • 18.12.2.4. By Deployment Mode
  • 18.13. Japan BDaaS Market Analysis
    • 18.13.1. Value Proportion Analysis by Market Taxonomy
    • 18.13.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.13.2.1. By Organization Size
      • 18.13.2.2. By Vertical
      • 18.13.2.3. By Component
      • 18.13.2.4. By Deployment Mode
  • 18.14. South Korea BDaaS Market Analysis
    • 18.14.1. Value Proportion Analysis by Market Taxonomy
    • 18.14.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.14.2.1. By Organization Size
      • 18.14.2.2. By Vertical
      • 18.14.2.3. By Component
      • 18.14.2.4. By Deployment Mode
  • 18.15. GCC Countries BDaaS Market Analysis
    • 18.15.1. Value Proportion Analysis by Market Taxonomy
    • 18.15.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.15.2.1. By Organization Size
      • 18.15.2.2. By Vertical
      • 18.15.2.3. By Component
      • 18.15.2.4. By Deployment Mode
  • 18.16. South Africa BDaaS Market Analysis
    • 18.16.1. Value Proportion Analysis by Market Taxonomy
    • 18.16.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.16.2.1. By Organization Size
      • 18.16.2.2. By Vertical
      • 18.16.2.3. By Component
      • 18.16.2.4. By Deployment Mode
  • 18.17. Turkey BDaaS Market Analysis
    • 18.17.1. Value Proportion Analysis by Market Taxonomy
    • 18.17.2. Value Analysis and Forecast by Market Taxonomy, 2024-2032
      • 18.17.2.1. By Organization Size
      • 18.17.2.2. By Vertical
      • 18.17.2.3. By Component
      • 18.17.2.4. By Deployment Mode
    • 18.17.3. Competition Landscape and Player Concentration in the Country

19. Market Structure Analysis

  • 19.1. Market Analysis by Tier of Companies
  • 19.2. Market Concentration
  • 19.3. Market Share Analysis of Top Players
  • 19.4. Market Presence Analysis
    • 19.4.1. By Regional footprint of Players
    • 19.4.2. Product footprint by Players

20. Competition Analysis

  • 20.1. Competition Dashboard
  • 20.2. Competition Benchmarking
  • 20.3. Competition Deep Dive
    • 20.3.1. Google
      • 20.3.1.1. Overview
      • 20.3.1.2. Product Portfolio
      • 20.3.1.3. Sales Footprint
      • 20.3.1.4. Strategy Overview
    • 20.3.2. Microsoft
      • 20.3.2.1. Overview
      • 20.3.2.2. Product Portfolio
      • 20.3.2.3. Sales Footprint
      • 20.3.2.4. Strategy Overview
    • 20.3.3. Amazon Web Services
      • 20.3.3.1. Overview
      • 20.3.3.2. Product Portfolio
      • 20.3.3.3. Sales Footprint
      • 20.3.3.4. Strategy Overview
    • 20.3.4. IBM
      • 20.3.4.1. Overview
      • 20.3.4.2. Product Portfolio
      • 20.3.4.3. Sales Footprint
      • 20.3.4.4. Strategy Overview
    • 20.3.5. Oracle
      • 20.3.5.1. Overview
      • 20.3.5.2. Product Portfolio
      • 20.3.5.3. Sales Footprint
      • 20.3.5.4. Strategy Overview
    • 20.3.6. SAP
      • 20.3.6.1. Overview
      • 20.3.6.2. Product Portfolio
      • 20.3.6.3. Sales Footprint
      • 20.3.6.4. Strategy Overview
    • 20.3.7. Teradata
      • 20.3.7.1. Overview
      • 20.3.7.2. Product Portfolio
      • 20.3.7.3. Sales Footprint
      • 20.3.7.4. Strategy Overview
    • 20.3.8. SAS
      • 20.3.8.1. Overview
      • 20.3.8.2. Product Portfolio
      • 20.3.8.3. Sales Footprint
      • 20.3.8.4. Strategy Overview
    • 20.3.9. Dell Technologies
      • 20.3.9.1. Overview
      • 20.3.9.2. Product Portfolio
      • 20.3.9.3. Sales Footprint
      • 20.3.9.4. Strategy Overview
    • 20.3.10. Hewlett Packard Enterprise
      • 20.3.10.1. Overview
      • 20.3.10.2. Product Portfolio
      • 20.3.10.3. Sales Footprint
      • 20.3.10.4. Strategy Overview

21. Assumptions and Acronyms Used

22. Research Methodology

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