[시장보고서]세계의 데이터옵스(DataOps) 플랫폼 시장 조사 보고서 : 산업 분석, 규모, 점유율, 성장, 동향 및 예측(2025-2033년)

세계의 데이터옵스(DataOps) 플랫폼 시장 조사 보고서 : 산업 분석, 규모, 점유율, 성장, 동향 및 예측(2025-2033년)

Global Dataops Platform Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2025 to 2033

상품코드 : 1820529

리서치사 : Value Market Research

발행일 : 2025년 09월

페이지 정보 : 영문 148 Pages

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한글목차

샘플 요청 목록에 추가

세계의 데이터옵스(DataOps) 플랫폼 시장은 대폭적인 성장을 이루어 2024년 58억 달러에서 2033년에는 364억 6,000만 달러에 이를 것으로 예측됩니다. 2025-2033년 연평균 복합 성장률(CAGR)은 22.67%에 이를 것으로 예측됩니다.

기업들이 민첩한 데이터 관리와 실시간 분석을 점점 더 우선순위에 두면서 데이터옵스(DataOps) 플랫폼 시장은 혁신적 성장세를 보이고 있습니다. 빅데이터, 클라우드 컴퓨팅, AI를 통한 자동화의 융합은 데이터옵스의 진화를 촉진하고, 데이터 파이프라인의 원활한 오케스트레이션과 데이터 엔지니어, 과학자, 비즈니스 사용자 간의 협업을 강화할 수 있게 합니다. 앞으로의 발전은 머신러닝 모델을 DataOps 워크플로우에 직접 통합하고, 데이터 품질을 최적화하며, 배포 주기를 단축하는 데 집중할 것으로 보입니다. 이러한 변화를 통해 조직은 데이터를 전략적 자산으로 활용하고, 다양한 부문에 걸쳐 혁신과 업무 효율성을 높일 수 있습니다.

엣지 컴퓨팅과 하이브리드 클라우드 아키텍처와 같은 새로운 트렌드는 분산형 데이터 처리를 촉진하고 대기 시간을 단축하여 데이터옵스(DataOps) 플랫폼 시장을 더욱 촉진할 것으로 예측됩니다. 데이터 거버넌스가 복잡해짐에 따라 보안 프로토콜의 강화와 컴플라이언스 자동화가 중요해지고 있습니다. AI를 활용한 이상 징후 감지 및 예측 분석을 DataOps 프레임워크에 통합하여 사전 예방적 문제 해결과 지속적인 개선이 가능합니다. 디지털 전환에 대한 노력이 심화됨에 따라 확장 가능하고 지능적인 데이터옵스 솔루션에 대한 수요가 급증하고, 시장은 지속적으로 확대되고 기술적으로 고도화될 것입니다.

지역별 전망
서론
북미의 판매 분석
- 개요, 분석과 예측
- 북미 : 부문별
- 북미 국가별
- 미국
- 캐나다
- 멕시코
유럽의 판매 분석
- 개요, 분석과 예측
- 유럽 : 부문별
- 유럽 국가별
- 영국
- 프랑스
- 독일
- 이탈리아
- 러시아
- 기타 유럽
아시아태평양의 판매 분석
- 개요, 분석과 예측
- 아시아태평양 : 부문별
- 아시아태평양 국가별
- 중국
- 인도
- 일본
- 한국
- 호주
- 동남아시아
- 기타 아시아태평양
라틴아메리카의 판매 분석
- 개요, 분석과 예측
- 라틴아메리카 : 부문별
- 라틴아메리카 국가별
- 브라질
- 아르헨티나
- 페루
- 칠레
- 기타 라틴아메리카
중동 및 아프리카의 판매 분석
- 개요, 분석과 예측
- 중동 및 아프리카 : 부문별
- 중동 및 아프리카 국가별 리스트
- 사우디아라비아
- 아랍에미리트(UAE)
- 이스라엘
- 남아프리카공화국
- 기타 중동 및 아프리카

제10장 데이터옵스(DataOps) 플랫폼 기업 경쟁 구도

데이터옵스(DataOps) 플랫폼 시장 경쟁
제휴/협업/합의
인수합병(M&A)
신제품 발매
기타 개발

제11장 기업 개요

주요 기업의 시장 점유율 분석
시장 집중도
Amazon Web Services
Cloud Software Group Inc.
Cloudera Inc.
Databricks
DataKitchen Inc.
Hitachi Vantara LLC
IBM Corporation
QlikTech International AB
Software AG
Talend Inc

LSH

영문 목차

영문목차

Global Dataops Platform Market is poised to witness substantial growth, reaching a value of USD 36.46 Billion by the year 2033, up from USD 5.80 Billion attained in 2024. The market is anticipated to display a Compound Annual Growth Rate (CAGR) of 22.67% between 2025 and 2033.

The DataOps platform market is poised for transformative growth as enterprises increasingly prioritize agile data management and real-time analytics. The convergence of big data, cloud computing, and AI-driven automation is catalyzing the evolution of DataOps, enabling seamless orchestration of data pipelines and enhanced collaboration between data engineers, scientists, and business users. Future advancements will likely focus on integrating machine learning models directly into DataOps workflows, optimizing data quality, and accelerating deployment cycles. This shift will empower organizations to harness data as a strategic asset, driving innovation and operational efficiency across diverse sectors.

Emerging trends such as edge computing and hybrid cloud architectures are expected to further propel the DataOps platform market by facilitating decentralized data processing and reducing latency. Enhanced security protocols and compliance automation will also become critical as data governance complexities intensify. The integration of AI-powered anomaly detection and predictive analytics within DataOps frameworks will enable proactive issue resolution and continuous improvement. As digital transformation initiatives deepen, the demand for scalable, intelligent DataOps solutions will surge, positioning the market for sustained expansion and technological sophistication.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

LIST OF SEGMENTS COVERED

This section of the Dataops Platform market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

Platform
Services

By Deployment

Cloud
On-premises

By Type

Agile Development
DevOps
Lean Manufacturing

By Vertical

BFSI
Healthcare & Life Sciences
Retail & E-commerce
Manufacturing
Government and Defence
Transportation and Logistics
IT & Telecommunications
Media and Entertainment
Others
List of Companies Profiled in the report
Amazon Web Services, Cloud Software Group Inc., Cloudera Inc., Databricks, DataKitchen Inc., Hitachi Vantara LLC, IBM Corporation, QlikTech International AB, Software AG, Talend Inc.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. DATAOPS PLATFORM - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Deployment
- 3.7.3 Market Attractiveness Analysis By Type
- 3.7.4 Market Attractiveness Analysis By Vertical
- 3.7.5 Market Attractiveness Analysis By Regions

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL DATAOPS PLATFORM MARKET ANALYSIS BY COMPONENT

5.1. Overview By Component
5.2. Historical and Forecast Data Analysis By Component
5.3. Platform Historic and Forecast Sales By Regions
5.4. Services Historic and Forecast Sales By Regions

6. GLOBAL DATAOPS PLATFORM MARKET ANALYSIS BY DEPLOYMENT

6.1. Overview By Deployment
6.2. Historical and Forecast Data Analysis By Deployment
6.3. Cloud Historic and Forecast Sales By Regions
6.4. On-premises Historic and Forecast Sales By Regions

7. GLOBAL DATAOPS PLATFORM MARKET ANALYSIS BY TYPE

7.1. Overview By Type
7.2. Historical and Forecast Data Analysis By Type
7.3. Agile Development Historic and Forecast Sales By Regions
7.4. DevOps Historic and Forecast Sales By Regions
7.5. Lean Manufacturing Historic and Forecast Sales By Regions

8. GLOBAL DATAOPS PLATFORM MARKET ANALYSIS BY VERTICAL

8.1. Overview By Vertical
8.2. Historical and Forecast Data Analysis By Vertical
8.3. BFSI Historic and Forecast Sales By Regions
8.4. Healthcare & Life Sciences Historic and Forecast Sales By Regions
8.5. Retail & E-commerce Historic and Forecast Sales By Regions
8.6. Manufacturing Historic and Forecast Sales By Regions
8.7. Government and Defence Historic and Forecast Sales By Regions
8.8. Transportation and Logistics Historic and Forecast Sales By Regions
8.9. IT & Telecommunications Historic and Forecast Sales By Regions
8.10. Media and Entertainment Historic and Forecast Sales By Regions
8.11. Others Historic and Forecast Sales By Regions

9. GLOBAL DATAOPS PLATFORM MARKET ANALYSIS BY GEOGRAPHY

9.1. Regional Outlook
9.2. Introduction
9.3. North America Sales Analysis
- 9.3.1 Overview, Historic and Forecast Data Sales Analysis
- 9.3.2 North America By Segment Sales Analysis
- 9.3.3 North America By Country Sales Analysis
- 9.3.4 United States Sales Analysis
- 9.3.5 Canada Sales Analysis
- 9.3.6 Mexico Sales Analysis
9.4. Europe Sales Analysis
- 9.4.1 Overview, Historic and Forecast Data Sales Analysis
- 9.4.2 Europe By Segment Sales Analysis
- 9.4.3 Europe By Country Sales Analysis
- 9.4.4 United Kingdom Sales Analysis
- 9.4.5 France Sales Analysis
- 9.4.6 Germany Sales Analysis
- 9.4.7 Italy Sales Analysis
- 9.4.8 Russia Sales Analysis
- 9.4.9 Rest Of Europe Sales Analysis
9.5. Asia Pacific Sales Analysis
- 9.5.1 Overview, Historic and Forecast Data Sales Analysis
- 9.5.2 Asia Pacific By Segment Sales Analysis
- 9.5.3 Asia Pacific By Country Sales Analysis
- 9.5.4 China Sales Analysis
- 9.5.5 India Sales Analysis
- 9.5.6 Japan Sales Analysis
- 9.5.7 South Korea Sales Analysis
- 9.5.8 Australia Sales Analysis
- 9.5.9 South East Asia Sales Analysis
- 9.5.10 Rest Of Asia Pacific Sales Analysis
9.6. Latin America Sales Analysis
- 9.6.1 Overview, Historic and Forecast Data Sales Analysis
- 9.6.2 Latin America By Segment Sales Analysis
- 9.6.3 Latin America By Country Sales Analysis
- 9.6.4 Brazil Sales Analysis
- 9.6.5 Argentina Sales Analysis
- 9.6.6 Peru Sales Analysis
- 9.6.7 Chile Sales Analysis
- 9.6.8 Rest of Latin America Sales Analysis
9.7. Middle East & Africa Sales Analysis
- 9.7.1 Overview, Historic and Forecast Data Sales Analysis
- 9.7.2 Middle East & Africa By Segment Sales Analysis
- 9.7.3 Middle East & Africa By Country Sales Analysis
- 9.7.4 Saudi Arabia Sales Analysis
- 9.7.5 UAE Sales Analysis
- 9.7.6 Israel Sales Analysis
- 9.7.7 South Africa Sales Analysis
- 9.7.8 Rest Of Middle East And Africa Sales Analysis

10. COMPETITIVE LANDSCAPE OF THE DATAOPS PLATFORM COMPANIES

10.1. Dataops Platform Market Competition
10.2. Partnership/Collaboration/Agreement
10.3. Merger And Acquisitions
10.4. New Product Launch
10.5. Other Developments

11. COMPANY PROFILES OF DATAOPS PLATFORM INDUSTRY

11.1. Top Companies Market Share Analysis
11.2. Market Concentration Rate
11.3. Amazon Web Services
- 11.3.1 Company Overview
- 11.3.2 Company Revenue
- 11.3.3 Products
- 11.3.4 Recent Developments
11.4. Cloud Software Group Inc.
- 11.4.1 Company Overview
- 11.4.2 Company Revenue
- 11.4.3 Products
- 11.4.4 Recent Developments
11.5. Cloudera Inc.
- 11.5.1 Company Overview
- 11.5.2 Company Revenue
- 11.5.3 Products
- 11.5.4 Recent Developments
11.6. Databricks
- 11.6.1 Company Overview
- 11.6.2 Company Revenue
- 11.6.3 Products
- 11.6.4 Recent Developments
11.7. DataKitchen Inc.
- 11.7.1 Company Overview
- 11.7.2 Company Revenue
- 11.7.3 Products
- 11.7.4 Recent Developments
11.8. Hitachi Vantara LLC
- 11.8.1 Company Overview
- 11.8.2 Company Revenue
- 11.8.3 Products
- 11.8.4 Recent Developments
11.9. IBM Corporation
- 11.9.1 Company Overview
- 11.9.2 Company Revenue
- 11.9.3 Products
- 11.9.4 Recent Developments
11.10. QlikTech International AB
- 11.10.1 Company Overview
- 11.10.2 Company Revenue
- 11.10.3 Products
- 11.10.4 Recent Developments
11.11. Software AG
- 11.11.1 Company Overview
- 11.11.2 Company Revenue
- 11.11.3 Products
- 11.11.4 Recent Developments
11.12. Talend Inc
- 11.12.1 Company Overview
- 11.12.2 Company Revenue
- 11.12.3 Products
- 11.12.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of privcompanies

한글목차

목차

제1장 서문

제2장 주요 요약

제3장 데이터옵스(DataOps) 플랫폼 - 산업 분석

제4장 밸류체인 분석

제5장 세계의 데이터옵스(DataOps) 플랫폼 시장 분석 : 컴포넌트별

제6장 세계의 데이터옵스(DataOps) 플랫폼 시장 분석 : 전개 형태별

제7장 세계의 데이터옵스(DataOps) 플랫폼 시장 분석 : 유형별

제8장 세계의 데이터옵스(DataOps) 플랫폼 시장 분석 : 업계별

제9장 세계의 데이터옵스(DataOps) 플랫폼 시장 분석 : 지역별