시장보고서
상품코드
1848464

세계의 산업 데이터 관리 시장 규모 조사 및 예측 : 데이터 유형별, 지역별 예측(2025-2035년)

Global Industrial Data Management Market Size Study & Forecast, by Type by Data Type and Regional Forecasts 2025-2035

발행일: | 리서치사: Bizwit Research & Consulting LLP | 페이지 정보: 영문 285 Pages | 배송안내 : 2-3일 (영업일 기준)

    
    
    




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

세계 산업 데이터 관리 시장 규모는 2024년에 약 912억 3,000만 달러로 평가되었으며, 예측 기간인 2025년부터 2035년까지 15.20%의 CAGR로 견조하게 성장할 것으로 예측됩니다.

산업 데이터 관리는 디지털 혁신의 중추이자 데이터 기반 인사이트에 의존하는 현대 기업의 중추 역할을 합니다. 산업 공정, 센서, 커넥티드 디바이스에서 생성되는 데이터를 수집, 저장, 통합, 분석, 보호하기 위해 설계된 일련의 기술과 기법을 포괄합니다. 시장 확대는 산업용 IoT(IIoT) 채택의 급격한 증가, 인더스트리 4.0 이니셔티브의 등장, 운영 효율성과 예지보전을 위한 실시간 데이터 인텔리전스의 중요성 증가 등의 영향을 크게 받고 있습니다. 제조, 에너지, 물류, 유틸리티 등 다양한 분야의 조직들이 데이터 관리 프레임워크를 활용하여 방대한 데이터세트를 실용적인 인텔리전스로 전환하고, 생산성과 정보에 기반한 의사결정을 촉진하기 위한 움직임이 가속화되고 있습니다.

산업 운영의 디지털화와 사이버 보안 및 데이터 거버넌스의 중요성이 강조되면서 종합적인 데이터 관리 시스템에 대한 수요가 크게 증가하고 있습니다. 기업들은 폭발적으로 증가하는 비정형 데이터를 관리하면서 데이터 사일로를 해소하고, 레거시 시스템 간의 상호운용성을 확보하며, 규제 컴플라이언스를 유지하기 위해 노력하고 있습니다. 업계 보고서에 따르면, 산업 부문은 연간 총 180제타바이트 이상의 데이터를 생성하고 있으며, 이 수치는 향후 10년 내에 두 배로 증가할 것으로 예상됩니다. 이러한 급증은 AI를 활용한 데이터 오케스트레이션, 엣지 분석, 클라우드 네이티브 플랫폼에 대한 투자를 촉진하고 있습니다. 또한, 스마트 팩토리, 디지털 트윈, 커넥티드 에코시스템의 확산으로 엔드투엔드 가시성과 운영 탄력성을 실현하고자 하는 조직에게 데이터 관리는 필수적인 요소가 되고 있습니다. 그러나 데이터 보안 문제, 레거시 인프라 문제, 숙련된 데이터 전문가 부족은 예측 기간 동안 원활한 도입을 방해하는 중요한 장애물이 되고 있습니다.

본 보고서에 포함된 세부 부문 및 하위 부문은 다음과 같습니다:

목차

제1장 세계의 산업 데이터 관리 시장 : 조사 범위와 조사 방법

  • 조사 목적
  • 조사 방법
    • 예측 모델
    • 데스크 조사
    • 하향식 및 상향식 접근
  • 조사 속성
  • 조사 범위
    • 시장 정의
    • 시장 세분화
  • 조사 가정
    • 포함과 제외
    • 제한사항
    • 조사 대상 연도

제2장 주요 요약

  • CEO/CXO의 입장
  • 전략적 인사이트
  • ESG 분석
  • 주요 조사 결과

제3장 세계의 산업 데이터 관리 시장 역학 분석

  • 시장 성장 촉진요인
  • 시장이 해결해야 할 과제
  • 시장 기회

제4장 세계의 산업 데이터 관리 업계 분석

  • Porter's Five Forces 모델
    • 구매자의 교섭력
    • 공급업체의 협상력
    • 신규 참여업체의 위협
    • 대체품의 위협
    • 경쟁 기업 간의 경쟁 관계
  • Porter's Five Forces 예측 모델(2024-2025년)
  • PESTEL 분석
    • 정치
    • 경제
    • 사회
    • 기술
    • 환경
    • 법률
  • 주요 투자 기회
  • 주요 성공 전략(2025년)
  • 시장 점유율 분석(2024-2025)
  • 세계의 가격 분석과 동향 2025
  • 애널리스트의 제안과 결론

제5장 세계의 산업 데이터 관리 시장 규모 및 예측 : 유형별, 2025-2035년

  • 시장 개요
  • 세계의 산업 데이터 관리 시장 실적 - 잠재적 분석(2025년)
  • 데이터 오케스트레이션과 분석
  • 데이터 스토리지와 통합
  • 데이터 공유
  • 데이터 보안
  • 데이터 가시화
  • 데이터 거버넌스와 컴플라이언스

제6장 세계의 산업 데이터 관리 시장 규모 및 예측 : 데이터 유형별, 2025-2035년

  • 시장 개요
  • 세계의 산업 데이터 관리 시장 실적 - 잠재적 분석(2025년)
  • 구조화
  • 비구조화

제7장 세계의 산업 데이터 관리 시장 규모 및 예측 : 지역별, 2025-2035년

  • 성장 지역 시장 현황
  • 주요 선진국 및 신흥국
  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 영국
    • 독일
    • 프랑스
    • 스페인
    • 이탈리아
    • 기타 유럽
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 호주
    • 한국
    • 기타 아시아태평양
  • 라틴아메리카
    • 브라질
    • 멕시코
  • 중동 및 아프리카
    • 아랍에미리트
    • 사우디아라비아(KSA)
    • 남아프리카공화국

제8장 경쟁 정보

  • 주요 시장 전략
  • IBM Corporation
    • 기업 개요
    • 주요 임원
    • 기업 개요
    • 재무 실적(데이터 가용성에 따라 다름)
    • 제품/서비스 포트
    • 최근의 개발
    • 시장 전략
    • SWOT 분석
  • Microsoft Corporation
  • SAP SE
  • Oracle Corporation
  • Amazon Web Services, Inc.
  • Hitachi Vantara LLC
  • Siemens AG
  • Honeywell International Inc.
  • Cisco Systems, Inc.
  • Dell Technologies Inc.
  • Rockwell Automation, Inc.
  • Schneider Electric SE
  • TIBCO Software Inc.
  • SAS Institute Inc.
  • Snowflake Inc.
KSM

The Global Industrial Data Management Market is valued approximately at USD 91.23 billion in 2024 and is anticipated to grow at a robust CAGR of 15.20% over the forecast period 2025-2035. Industrial Data Management represents the backbone of digital transformation, serving as the nerve center for modern enterprises that depend on data-driven insights. It encompasses a suite of technologies and practices designed to collect, store, integrate, analyze, and secure data generated from industrial processes, sensors, and connected devices. The market's expansion is strongly influenced by the exponential growth in industrial IoT (IIoT) adoption, the emergence of Industry 4.0 initiatives, and the rising importance of real-time data intelligence for operational efficiency and predictive maintenance. Organizations across sectors-from manufacturing and energy to logistics and utilities-are increasingly harnessing data management frameworks to turn massive datasets into actionable intelligence, driving productivity and informed decision-making.

The rising digitalization of industrial operations and the growing emphasis on cybersecurity and data governance have significantly accelerated the demand for comprehensive data management systems. Companies are striving to break down data silos, ensure interoperability across legacy systems, and maintain regulatory compliance while managing the explosive growth of unstructured data. According to industry reports, industrial sectors collectively generate more than 180 zettabytes of data annually, a figure expected to double within the next decade. This surge has prompted investments in AI-powered data orchestration, edge analytics, and cloud-native platforms. Additionally, the proliferation of smart factories, digital twins, and connected ecosystems has made data management indispensable for organizations aiming to achieve end-to-end visibility and operational resilience. However, data security concerns, legacy infrastructure challenges, and the scarcity of skilled data professionals remain significant hurdles impeding seamless adoption during the forecast period.

The detailed segments and sub-segments included in the report are:

By Type:

  • Data Orchestration & Analytics
  • Data Storage & Integration
  • Data Sharing
  • Data Security
  • Data Visualization
  • Data Governance & Compliance

By Data Type:

  • Structured
  • Unstructured

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa
  • Among all the type segments, Data Orchestration & Analytics is expected to dominate the market during the forecast period. This segment's growth is primarily attributed to the escalating integration of AI and machine learning algorithms in industrial operations, which enable real-time data analytics, pattern recognition, and process automation. Industries are increasingly relying on orchestration platforms to synchronize disparate data pipelines, facilitate efficient data flow between edge and cloud environments, and enable predictive insights for asset optimization. As industries pivot towards smart manufacturing, analytics-driven orchestration is becoming a strategic necessity, allowing businesses to anticipate system failures, optimize maintenance cycles, and enhance overall productivity.
  • From a revenue standpoint, Data Storage & Integration currently leads the Industrial Data Management Market, accounting for the largest share. The ever-expanding volume of sensor-generated and operational data has prompted organizations to invest heavily in scalable storage solutions and hybrid integration architectures. With enterprises deploying multi-cloud and edge computing models, the demand for seamless data movement and interoperability has surged. Cloud-based integration frameworks not only simplify access and scalability but also reduce infrastructure costs while ensuring compliance with data sovereignty laws. Moreover, the rising need for high-performance databases capable of handling structured and unstructured data alike has positioned storage and integration solutions at the core of digital enterprise ecosystems.
  • Regionally, the Global Industrial Data Management Market is witnessing remarkable developments across major geographies. North America currently dominates the market, buoyed by the early adoption of industrial automation, the presence of leading technology providers, and a strong focus on AI-driven data management solutions. The U.S. continues to spearhead innovation with extensive deployment of smart manufacturing systems and data governance frameworks. Meanwhile, Asia Pacific is poised to register the fastest growth through 2035, propelled by the rapid expansion of industrial infrastructure in China, India, and Japan. The region's push toward smart factories, combined with rising government support for digital industrialization, has created fertile ground for data management platforms. Europe maintains steady growth, driven by stringent data compliance mandates such as GDPR and increasing investments in green manufacturing technologies. Emerging economies in Latin America and the Middle East & Africa are also catching up, leveraging cloud-based platforms to modernize legacy systems and improve process efficiency.

Major market players included in this report are:

  • IBM Corporation
  • Microsoft Corporation
  • SAP SE
  • Oracle Corporation
  • Amazon Web Services, Inc.
  • Hitachi Vantara LLC
  • Siemens AG
  • Honeywell International Inc.
  • Cisco Systems, Inc.
  • Dell Technologies Inc.
  • Rockwell Automation, Inc.
  • Schneider Electric SE
  • TIBCO Software Inc.
  • SAS Institute Inc.
  • Snowflake Inc.

Global Industrial Data Management Market Report Scope:

  • Historical Data - 2023, 2024
  • Base Year for Estimation - 2024
  • Forecast period - 2025-2035
  • Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
  • Customization Scope - Free report customization (equivalent to up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2025 to 2035.
  • Annualized revenues and regional-level analysis for each market segment.
  • Detailed analysis of the geographical landscape with country-level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of the competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Industrial Data Management Market Report Scope & Methodology

  • 1.1. Research Objective
  • 1.2. Research Methodology
    • 1.2.1. Forecast Model
    • 1.2.2. Desk Research
    • 1.2.3. Top Down and Bottom-Up Approach
  • 1.3. Research Attributes
  • 1.4. Scope of the Study
    • 1.4.1. Market Definition
    • 1.4.2. Market Segmentation
  • 1.5. Research Assumption
    • 1.5.1. Inclusion & Exclusion
    • 1.5.2. Limitations
    • 1.5.3. Years Considered for the Study

Chapter 2. Executive Summary

  • 2.1. CEO/CXO Standpoint
  • 2.2. Strategic Insights
  • 2.3. ESG Analysis
  • 2.4. key Findings

Chapter 3. Global Industrial Data Management Market Forces Analysis

  • 3.1. Market Forces Shaping The Global Industrial Data Management Market (2024-2035)
  • 3.2. Drivers
    • 3.2.1. exponential growth in industrial IoT (IIoT) adoption
    • 3.2.2. emergence of Industry 4.0 initiatives
  • 3.3. Restraints
    • 3.3.1. data security concerns
  • 3.4. Opportunities
    • 3.4.1. rising importance of real-time data intelligence for operational efficiency

Chapter 4. Global Industrial Data Management Industry Analysis

  • 4.1. Porter's 5 Forces Model
    • 4.1.1. Bargaining Power of Buyer
    • 4.1.2. Bargaining Power of Supplier
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. Porter's 5 Force Forecast Model (2024-2035)
  • 4.3. PESTEL Analysis
    • 4.3.1. Political
    • 4.3.2. Economical
    • 4.3.3. Social
    • 4.3.4. Technological
    • 4.3.5. Environmental
    • 4.3.6. Legal
  • 4.4. Top Investment Opportunities
  • 4.5. Top Winning Strategies (2025)
  • 4.6. Market Share Analysis (2024-2025)
  • 4.7. Global Pricing Analysis And Trends 2025
  • 4.8. Analyst Recommendation & Conclusion

Chapter 5. Global Industrial Data Management Market Size & Forecasts by Type 2025-2035

  • 5.1. Market Overview
  • 5.2. Global Industrial Data Management Market Performance - Potential Analysis (2025)
  • 5.3. Data Orchestration & Analytics
    • 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.3.2. Market size analysis, by region, 2025-2035
  • 5.4. Data Storage & Integration
    • 5.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.4.2. Market size analysis, by region, 2025-2035
  • 5.5. Data Sharing
    • 5.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.5.2. Market size analysis, by region, 2025-2035
  • 5.6. Data Security
    • 5.6.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.6.2. Market size analysis, by region, 2025-2035
  • 5.7. Data Visualization
    • 5.7.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.7.2. Market size analysis, by region, 2025-2035
  • 5.8. Data Governance & Compliance
    • 5.8.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.8.2. Market size analysis, by region, 2025-2035

Chapter 6. Global Industrial Data Management Market Size & Forecasts by Data Type 2025-2035

  • 6.1. Market Overview
  • 6.2. Global Industrial Data Management Market Performance - Potential Analysis (2025)
  • 6.3. Structured
    • 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.3.2. Market size analysis, by region, 2025-2035
  • 6.4. Unstructured
    • 6.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.4.2. Market size analysis, by region, 2025-2035

Chapter 7. Global Industrial Data Management Market Size & Forecasts by Region 2025-2035

  • 7.1. Growth Industrial Data Management Market, Regional Market Snapshot
  • 7.2. Top Leading & Emerging Countries
  • 7.3. North America Industrial Data Management Market
    • 7.3.1. U.S. Industrial Data Management Market
      • 7.3.1.1. Type breakdown size & forecasts, 2025-2035
      • 7.3.1.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.3.2. Canada Industrial Data Management Market
      • 7.3.2.1. Type breakdown size & forecasts, 2025-2035
      • 7.3.2.2. Data Type breakdown size & forecasts, 2025-2035
  • 7.4. Europe Industrial Data Management Market
    • 7.4.1. UK Industrial Data Management Market
      • 7.4.1.1. Type breakdown size & forecasts, 2025-2035
      • 7.4.1.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.4.2. Germany Industrial Data Management Market
      • 7.4.2.1. Type breakdown size & forecasts, 2025-2035
      • 7.4.2.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.4.3. France Industrial Data Management Market
      • 7.4.3.1. Type breakdown size & forecasts, 2025-2035
      • 7.4.3.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.4.4. Spain Industrial Data Management Market
      • 7.4.4.1. Type breakdown size & forecasts, 2025-2035
      • 7.4.4.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.4.5. Italy Industrial Data Management Market
      • 7.4.5.1. Type breakdown size & forecasts, 2025-2035
      • 7.4.5.2. Application breakdown size & forecasts, 2025-2035
    • 7.4.6. Rest of Europe Industrial Data Management Market
      • 7.4.6.1. Type breakdown size & forecasts, 2025-2035
      • 7.4.6.2. Data Type breakdown size & forecasts, 2025-2035
  • 7.5. Asia Pacific Industrial Data Management Market
    • 7.5.1. China Industrial Data Management Market
      • 7.5.1.1. Type breakdown size & forecasts, 2025-2035
      • 7.5.1.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.5.2. India Industrial Data Management Market
      • 7.5.2.1. Type breakdown size & forecasts, 2025-2035
      • 7.5.2.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.5.3. Japan Industrial Data Management Market
      • 7.5.3.1. Type breakdown size & forecasts, 2025-2035
      • 7.5.3.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.5.4. Australia Industrial Data Management Market
      • 7.5.4.1. Type breakdown size & forecasts, 2025-2035
      • 7.5.4.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.5.5. South Korea Industrial Data Management Market
      • 7.5.5.1. Type breakdown size & forecasts, 2025-2035
      • 7.5.5.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.5.6. Rest of APAC Industrial Data Management Market
      • 7.5.6.1. Type breakdown size & forecasts, 2025-2035
      • 7.5.6.2. Data Type breakdown size & forecasts, 2025-2035
  • 7.6. Latin America Industrial Data Management Market
    • 7.6.1. Brazil Industrial Data Management Market
      • 7.6.1.1. Type breakdown size & forecasts, 2025-2035
      • 7.6.1.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.6.2. Mexico Industrial Data Management Market
      • 7.6.2.1. Type breakdown size & forecasts, 2025-2035
      • 7.6.2.2. Data Type breakdown size & forecasts, 2025-2035
  • 7.7. Middle East and Africa Industrial Data Management Market
    • 7.7.1. UAE Industrial Data Management Market
      • 7.7.1.1. Type breakdown size & forecasts, 2025-2035
      • 7.7.1.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.7.2. Saudi Arabia (KSA) Industrial Data Management Market
      • 7.7.2.1. Type breakdown size & forecasts, 2025-2035
      • 7.7.2.2. Data Type breakdown size & forecasts, 2025-2035
    • 7.7.3. South Africa Industrial Data Management Market
      • 7.7.3.1. Type breakdown size & forecasts, 2025-2035
      • 7.7.3.2. Data Type breakdown size & forecasts, 2025-2035

Chapter 8. Competitive Intelligence

  • 8.1. Top Market Strategies
  • 8.2. IBM Corporation
    • 8.2.1. Company Overview
    • 8.2.2. Key Executives
    • 8.2.3. Company Snapshot
    • 8.2.4. Financial Performance (Subject to Data Availability)
    • 8.2.5. Product/Services Port
    • 8.2.6. Recent Development
    • 8.2.7. Market Strategies
    • 8.2.8. SWOT Analysis
  • 8.3. Microsoft Corporation
  • 8.4. SAP SE
  • 8.5. Oracle Corporation
  • 8.6. Amazon Web Services, Inc.
  • 8.7. Hitachi Vantara LLC
  • 8.8. Siemens AG
  • 8.9. Honeywell International Inc.
  • 8.10. Cisco Systems, Inc.
  • 8.11. Dell Technologies Inc.
  • 8.12. Rockwell Automation, Inc.
  • 8.13. Schneider Electric SE
  • 8.14. TIBCO Software Inc.
  • 8.15. SAS Institute Inc.
  • 8.16. Snowflake Inc.
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