[시장보고서]세계의 산업 데이터 관리 시장 : 유형별, 제공별, 데이터 관리 스택별, 전개별, 조직 유형별, 데이터 유형별, 업계별, 지역별

세계의 산업 데이터 관리 시장 : 유형별, 제공별, 데이터 관리 스택별, 전개별, 조직 유형별, 데이터 유형별, 업계별, 지역별 - 예측(-2030년)

Industrial Data Management Market by Type (Data Orchestration & Analytics, Data Storage & Integration, Data Sharing, Data Security, Data Visualization, Data Governance & Compliance), Data Type(Structured, Unstructured) - Global Forecast to 2030

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리서치사 : MarketsandMarkets

발행일 : 2025년 04월

페이지 정보 : 영문 297 Pages

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세계 산업 데이터 관리 시장 규모는 2025년 1,051억 달러에서 2030년 2,132억 달러로 성장할 것으로 예상되며, 예측 기간 동안 15.2%의 CAGR을 기록할 것으로 예상됩니다.

주요 촉진요인 중 하나는 산업 자동화 및 인더스트리 4.0의 성장이며, 지능형 공장은 실시간 데이터 저장 및 분석에 의존하여 운영을 극대화하고 효율성을 높이며 예지보전을 촉진하고 있습니다. 산업 데이터 관리 소프트웨어는 평가 및 제어를 위해 다양한 장치, 장비, 시스템에서 데이터를 수집하는 자동화에 중요한 역할을 합니다. 또한, 사물인터넷(IoT) 디바이스의 급속한 성장으로 인해 효율적인 데이터 저장, 분석, 시각화, 거버넌스 요구 등 산업 전반에 걸쳐 산업 데이터 관리 소프트웨어와 상호 운용 가능한 다양한 시스템 및 센서의 도입이 촉진되고 있습니다. 에너지, 자동차, 항공우주, 헬스케어, 운송, BFSI 분야에서 실시간 모니터링에 대한 관심이 높아짐에 따라 정확한 데이터 수집 및 분석 시스템에 대한 요구가 더욱 높아져 데이터 관리의 필요성이 더욱 커지고 있습니다.

조사 범위
조사 대상 연도	2020-2030년
기준 연도	2024년
예측 기간	2025-2030년
검토 단위	금액(10억 달러)
부문별	유형별, 제공별, 데이터 관리 스택별, 전개별, 조직 유형별, 데이터 유형별, 산업별, 지역별
대상 지역	북미, 유럽, 아시아태평양, 기타 지역

BFSI(은행, 금융 서비스, 보험) 사업은 산업 데이터 관리 시장의 주요 성장 요인입니다. 금융기관은 디지털 전환에 대한 투자를 확대하는 한편, 방대한 양의 기밀 데이터와 트랜잭션 데이터를 생성 및 처리하고 있으며, 이에 대한 견고한 처리, 보안, 실시간 분석이 요구되고 있습니다. 이러한 데이터 처리 능력에 대한 요구는 산업 환경에서 사용되는 것과 유사한 최첨단 데이터 통합, 거버넌스 및 컴플라이언스 솔루션을 채택하도록 유도하고 있습니다. 또한, BFSI 기업들은 임베디드 금융, 리스크 분석, 예측 분석을 제공하기 위해 업계와 협력하여 두 산업의 경계를 허물고 있습니다. 고객 인텔리전스, 사기 탐지, 규제 준수에 중점을 둔 이 산업은 데이터 플랫폼의 혁신을 촉진하고 일반적인 산업 데이터 관리 트렌드에 영향을 미치고 있습니다. 따라서 BFSI 부문의 기술력과 투자 능력은 다양한 산업에서 엔드 투 엔드 통합 데이터 관리 시스템의 도입과 개발을 가속화하는 데 도움이 될 것으로 보입니다.

데이터 오케스트레이션과 분석은 산업 데이터 관리 시장에서 가장 빠르게 성장할 것으로 예상됩니다. 산업 운영이 디지털화되고 상호연결됨에 따라 조직은 기계, 센서, 기업 시스템, 공급망에서 방대한 양의 원시 데이터를 생성합니다. 데이터 오케스트레이션은 서로 다른 소스 간의 데이터 흐름을 간소화하고 자동화하며, 깨끗하고 일관성 있고 실시간으로 액세스할 수 있도록 하는 데 중요한 역할을 합니다. 강력한 분석 도구와 결합된 오케스트레이션 데이터는 효율성을 높이고, 장비 고장을 예측하고, 리소스 사용을 최적화하고, 의사결정을 강화하기 위한 실용적인 인사이트으로 전환될 수 있습니다. 제조, 에너지, 물류 등 산업 전반에 걸쳐 예지보전, 운영 가시성, 실시간 모니터링에 대한 수요가 증가함에 따라 이러한 기술의 채택이 가속화되고 있습니다. 또한, AI와 머신러닝의 부상으로 고급 분석의 가치가 증폭되면서 데이터 오케스트레이션과 분석이 산업 경쟁력과 혁신에 필수적인 요소로 부상하고 있습니다.

미국은 첨단 산업 구조, 최신 기술의 조기 도입, 주요 시장 진입 기업의 강력한 존재감으로 인해 산업 데이터 관리 시장을 선도할 것으로 예상됩니다. 제조업, 석유 및 가스, 에너지 산업이 밀집되어 있는 미국에서는 대량의 산업 데이터가 생성되고 있어 효율적인 데이터 관리 시스템이 필수적입니다. 미국은 디지털화, 사물인터넷(IIoT), 스마트 제조에 집중하고 있으며, 데이터 관리 시스템 도입도 증가하고 있습니다. 클라우드 컴퓨팅, AI, 사이버 보안에 대한 높은 투자는 산업 데이터 관리 시스템의 기능을 강화하여 미국을 세계 최전선에 배치하고 있습니다.

세계의 산업 데이터 관리 시장을 조사했으며, 유형별, 제공별, 데이터 관리 스택별, 배포별, 조직 유형별, 데이터 유형별, 산업별, 지역별 동향, 시장 진입 기업 프로파일 등의 정보를 정리하여 전해드립니다.

소개
시장 역학
밸류체인 분석
생태계 분석
2024년 투자·자금 조달 시나리오
가격 분석
고객 비즈니스에 영향을 미치는 동향/혼란
기술 분석
Porter's Five Forces 분석
주요 이해관계자와 구입 기준
사례 연구 분석
무역 분석
특허 분석
2025-2026년의 주요 회의와 이벤트
관세와 규제 상황
AI/생성형 AI가 산업 데이터 관리 시장에 미치는 영향
2025년 미국 관세의 영향 - 개요

제6장 산업 데이터 관리의 데이터 유형

소개
운영 및 프로세스 데이터
정보기술 데이터

제7장 산업 데이터 관리 시장(유형별)

소개
데이터 통합과 스토리지
데이터 오케스트레이션과 분석
데이터 공유
데이터 보안
데이터 거버넌스와 컴플라이언스
데이터 시각화

제8장 산업 데이터 관리 시장(제공별)

소개
소프트웨어
서비스

제9장 산업 데이터 관리 시장(데이터 관리 스택별)

소개
레거시
모던

제10장 산업 데이터 관리 시장(전개별)

소개
클라우드 기반
온프레미스
하이브리드

제11장 산업 데이터 관리 시장(조직 유형별)

소개
소규모 및 중규모
대규모

제12장 산업 데이터 관리(데이터 유형별)

소개
구조화
비구조화
반구조화

제13장 산업 데이터 관리 시장(업계별)

소개
헬스케어·생명과학
BFSI
제조·가공
통신·네트워크
에너지·유틸리티
창고·물류

제14장 산업 데이터 관리 시장(지역별)

소개
북미
- 북미의 거시경제 전망
- 미국
- 캐나다
- 멕시코
유럽
- 유럽의 거시경제 전망
- 독일
- 영국
- 프랑스
- 이탈리아
- 스페인
- 폴란드
- 북유럽
- 기타
아시아태평양
- 아시아태평양의 거시경제 전망
- 중국
- 일본
- 한국
- 인도
- 호주
- 인도네시아
- 말레이시아
- 태국
- 베트남
- 기타
기타 지역
- 기타 지역의 거시경제 전망
- 중동
- 아프리카
- 남미

제15장 경쟁 구도

개요
주요 진출 기업 전략/강점, 2022-2024년
매출 분석, 2021-2024년
시장 점유율 분석, 2024년
기업 평가와 재무 지표, 2024년
브랜드/제품 비교
기업 평가 매트릭스 : 주요 진출 기업, 2024년
기업 평가 매트릭스 : 스타트업/중소기업, 2024년
경쟁 시나리오

제16장 기업 개요

주요 진출 기업
- MICROSOFT
- ALPHABET INC.
- SAP
- IBM
- ORACLE
- AMAZON WEB SERVICES, INC.
- AVEVA GROUP LIMITED
- TALEND, INC.
- SNOWFLAKE INC.
- INFORMATICA INC.
- SIEMENS
- HONEYWELL INTERNATIONAL INC.
- HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- DELL INC.
기타 기업
- DATABRICKS
- PALANTIR TECHNOLOGIES INC.
- ABB
- CLOUDERA, INC.
- ATACCAMA
- ASPEN TECHNOLOGY INC
- C3.AI, INC
- COGNITE AS
- ROCKWELL AUTOMATION
- GE VERNOVA
- HITACHI VANTARA LLC.
- HEXAGON AB
- SYMPHONYAI
- TERADATA
- CONFLUENT, INC.

제17장 부록

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영문 목차

영문목차

The global industrial data management market is expected to grow from USD 105.10 billion in 2025 to USD 213.20 billion by 2030, at a CAGR of 15.2% during the forecast period. One of the primary drivers is industrial automation and Industry 4.0 growth, where intelligent factories rely on real-time data storage and analytics to maximize operations, enhance efficiency, and facilitate predictive maintenance. Industrial data management software plays a critical role in automation in gathering data from various devices, equipment, and systems for evaluation and control. Furthermore, the rapid growth of Internet of Things (IoT) devices has promoted the adoption of various systems and sensors interoperable with industrial data management software across industries, ranging from demanding efficient data storage, analysis, visualization, and governance. The increased focus on real-time monitoring in energy, automotive, aerospace, healthcare, transportation, and BFSI further enhances the demand for precise data collection and analysis systems, thereby escalating the need for data management.

Scope of the Report
Years Considered for the Study	2020-2030
Base Year	2024
Forecast Period	2025-2030
Units Considered	Value (USD Billion)
Segments	By Type, Data Type and Region
Regions covered	North America, Europe, APAC, RoW

"BFSI is expected to contribute a significant share to the industrial data management market."

BFSI (banking, financial services, and insurance) business will be a key growth driver in the market for industrial data management. While financial institutions put greater investments into digital transformation, they generate and process huge amounts of sensitive as well as transactional data, which requires robust handling, security, and real-time analytics. This requirement for advanced data handling capabilities pushes the industry to employ cutting-edge data integration, governance, and compliance solutions, similar to those used in industrial environments. Moreover, BFSI firms are working with industrial companies to offer embedded finance, risk analysis, and predictive analytics offerings, further taking the boundaries out of the two industries. The industry's focus on customer intelligence, fraud detection, and regulatory compliance also drives innovation in data platforms, affecting general industrial data management trends. Therefore, the BFSI sector's technological strength and investment capability will be instrumental in accelerating the adoption and development of end-to-end integrated data management systems in various industries.

"Data orchestration & analytics segment is projected to register the highest CAGR in the industrial data management market."

Data orchestration and analytics are expected to be the fastest-growing segments in the industrial data management market. As industrial operations become increasingly digital and interconnected, organizations generate vast amounts of raw data from machines, sensors, enterprise systems, and supply chains. Data orchestration plays a critical role in streamlining and automating the flow of this data across disparate sources, ensuring it is clean, consistent, and accessible in real time. Coupled with powerful analytics tools, this orchestrated data can be transformed into actionable insights that drive efficiency, predict equipment failures, optimize resource usage, and enhance decision-making. The growing demand for predictive maintenance, operational visibility, and real-time monitoring across industries such as manufacturing, energy, and logistics is accelerating the adoption of these technologies. Furthermore, the rise of AI and machine learning amplifies the value of advanced analytics, making data orchestration and analytics essential for industrial competitiveness and innovation.

"The US is estimated to dominate the industrial data management market."

The US is anticipated to lead the industrial data management market due to its advanced industrial setup, early adoption of the latest technology, and the strong presence of major market players. With a high density of manufacturing, oil & gas, and energy industries, the US is generating massive volumes of industrial data, making efficient data management systems imperative. The country's focus on digitalization, Industrial Internet of Things (IIoT), and smart manufacturing also increases the adoption of data management systems. High investments in cloud computing, AI, and cybersecurity also augment the functionalities of industrial data management systems and place the US at the forefront globally.

In-depth interviews have been conducted with Chief Executive Officers (CEOs), Directors, and other executives from various key organizations operating in the industrial data management market.

By Company Type: Tier 1 - 45%, Tier 2 - 35%, and Tier 3 - 20%
By Designation: C-level Executives - 40%, Directors - 35%, and Others - 25%
By Region: North America- 45%, Europe - 25%, Asia Pacific- 20%, and RoW- 10%

The study includes an in-depth competitive analysis of these key players in the industrial data management market, with their company profiles, recent developments, and key market strategies.

Research Coverage

This research report categorizes the industrial data management market by offering, speed, application, vertical, and region (North America, Europe, Asia Pacific). The report scope covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the industrial data management market. A detailed analysis of the key industry players has provided insights into their business overview, solutions and services, key strategies, such as contracts, partnerships, agreements, new product and service launches, acquisitions, and other recent developments associated with the industrial data management market. This report covers a competitive analysis of upcoming industrial data management market startups.

Reasons to buy this report

The report will help market leaders and new entrants with information on the closest approximations of the revenue numbers for the industrial data management market and subsegments. It will also help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights into the following pointers:

Analysis of key drivers (Expanding unstructured data, increasing cyber threats in industrial environments, growing popularity of IoT in industrial environments), restraints (Complexities associated with integrating industrial data management solutions into existing infrastructure, significant investments in hardware), opportunities (Convergence of information technology and operational technology, increasing adoption of cloud computing in industrial applications), and challenges (Ensuring high-quality and accurate data, lack of standardization in industrial data management) influencing the growth of the industrial data management market.
Product Development/Innovation: Detailed insights into upcoming technologies, research & development activities, and new product launches in the industrial data management market
Market Development: Comprehensive information about lucrative markets-the report analyses the industrial data management market across varied regions.
Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the industrial data management market
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players in the industrial data management market, such as Microsoft (US), Alphabet Inc. (US), SAP (Germany), Oracle (US), IBM (US), and AWS (US).

1 INTRODUCTION

1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
- 1.3.1 MARKETS COVERED AND REGIONAL SCOPE
- 1.3.2 YEARS CONSIDERED
- 1.3.3 INCLUSIONS AND EXCLUSIONS
1.4 CURRENCY CONSIDERED
1.5 LIMITATIONS
1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

2.1 RESEARCH DATA
- 2.1.1 SECONDARY AND PRIMARY RESEARCH
- 2.1.2 SECONDARY DATA
  - 2.1.2.1 List of key secondary sources
  - 2.1.2.2 Key data from secondary sources
- 2.1.3 PRIMARY DATA
  - 2.1.3.1 Intended participants and key opinion leaders
  - 2.1.3.2 Key data from primary sources
  - 2.1.3.3 Key industry insights
  - 2.1.3.4 Breakdown of primaries
2.2 FACTOR ANALYSIS
2.3 MARKET SIZE ESTIMATION
- 2.3.1 BOTTOM-UP APPROACH
  - 2.3.1.1 Approach to estimate market size using bottom-up analysis (demand side)
- 2.3.2 TOP-DOWN APPROACH
  - 2.3.2.1 Approach to estimate market size using top-down analysis (supply side)
2.4 DATA TRIANGULATION
2.5 RESEARCH ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
2.7 RISK ANALYSIS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN INDUSTRIAL DATA MANAGEMENT MARKET
4.2 INDUSTRIAL DATA MANAGEMENT MARKET, BY DEPLOYMENT
4.3 INDUSTRIAL DATA MANAGEMENT MARKET, BY DATA TYPE
4.4 INDUSTRIAL DATA MANAGEMENT MARKET, BY DATA MANAGEMENT STACK
4.5 INDUSTRIAL DATA MANAGEMENT MARKET, BY REGION

5 MARKET OVERVIEW

5.1 INTRODUCTION
5.2 MARKET DYNAMICS
- 5.2.1 DRIVERS
  - 5.2.1.1 Expanding unstructured data
  - 5.2.1.2 Increasing cyber threats in industrial environments
  - 5.2.1.3 Growing popularity of IoT in industrial environments
- 5.2.2 RESTRAINTS
  - 5.2.2.1 Complexities associated with integrating industrial data management solutions into existing infrastructure
  - 5.2.2.2 Significant investments in hardware
- 5.2.3 OPPORTUNITIES
  - 5.2.3.1 Convergence of information technology and operational technology
  - 5.2.3.2 Increasing adoption of cloud computing in industrial applications
- 5.2.4 CHALLENGES
  - 5.2.4.1 Ensuring high-quality and accurate data
  - 5.2.4.2 Lack of standardization in industrial data management
5.3 VALUE CHAIN ANALYSIS
5.4 ECOSYSTEM ANALYSIS
5.5 INVESTMENT AND FUNDING SCENARIO, 2024
5.6 PRICING ANALYSIS
- 5.6.1 INDICATIVE PRICING OF INDUSTRIAL DATA MANAGEMENT SOLUTIONS, BY KEY PLAYER, 2024
- 5.6.2 AVERAGE SELLING PRICE TREND OF INDUSTRIAL DATA MANAGEMENT SOLUTIONS, BY REGION, 2020-2024
5.7 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.8 TECHNOLOGY ANALYSIS
- 5.8.1 KEY TECHNOLOGIES
  - 5.8.1.1 AI
  - 5.8.1.2 IoT
- 5.8.2 COMPLEMENTARY TECHNOLOGIES
  - 5.8.2.1 Industry 5.0
  - 5.8.2.2 Predictive maintenance
- 5.8.3 ADJACENT TECHNOLOGIES
  - 5.8.3.1 Process analytics
  - 5.8.3.2 Industrial automation
5.9 PORTER'S FIVE FORCES ANALYSIS
- 5.9.1 INTENSITY OF COMPETITIVE RIVALRY
- 5.9.2 BARGAINING POWER OF SUPPLIERS
- 5.9.3 BARGAINING POWER OF BUYERS
- 5.9.4 THREAT OF SUBSTITUTES
- 5.9.5 THREAT OF NEW ENTRANTS
5.10 KEY STAKEHOLDERS AND BUYING CRITERIA
- 5.10.1 KEY STAKEHOLDERS IN BUYING PROCESS
- 5.10.2 BUYING CRITERIA
5.11 CASE STUDY ANALYSIS
- 5.11.1 ADANI GROUP PARTNERED WITH SAP THAT ENSURED STANDARDIZED AND RELIABLE DATA ACROSS ALL BUSINESS UNITS
- 5.11.2 GLOBAL TRAVEL COMPANY IMPROVED SERVICE QUALITY AND OPERATIONAL EFFICIENCY WITH DYNAMICS 365
- 5.11.3 GLOBAL MANUFACTURING COMPANY IMPLEMENTED MASTER DATA MANAGEMENT TO TACKLE INCONSISTENT DATA ISSUES
5.12 TRADE ANALYSIS
- 5.12.1 IMPORT DATA (HS CODE 8471)
- 5.12.2 EXPORT DATA (HS CODE 8471)
5.13 PATENT ANALYSIS
5.14 KEY CONFERENCES AND EVENTS, 2025-2026
5.15 TARIFF AND REGULATORY LANDSCAPE
- 5.15.1 TARIFF ANALYSIS
- 5.15.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- 5.15.3 SAFETY STANDARDS FOR INDUSTRIAL DATA MANAGEMENT
5.16 IMPACT OF AI/GENERATIVE AI ON INDUSTRIAL DATA MANAGEMENT MARKET
- 5.16.1 INTRODUCTION
5.17 IMPACT OF 2025 US TARRIF - OVERVIEW
- 5.17.1 INTRODUCTION
- 5.17.2 KEY TARIFF RATES
- 5.17.3 PRICE IMPACT ANALYSIS
- 5.17.4 IMPACT ON COUNTRY/REGIONS
  - 5.17.4.1 US
  - 5.17.4.2 Europe
  - 5.17.4.3 APAC
- 5.17.5 IMPACT ON END-USE INDUSTRIES

6 TYPES OF DATA IN INDUSTRIAL DATA MANAGEMENT

6.1 INTRODUCTION
6.2 OPERATIONAL & PROCESS DATA
- 6.2.1 ASSET INFORMATION MANAGEMENT
- 6.2.2 PRODUCTION DATA
- 6.2.3 DIGITAL TWIN & SIMULATION DATA
- 6.2.4 RESOURCE & ENERGY CONSUMPTION DATA
- 6.2.5 QUALITY CONTROL & INSPECTION DATA
6.3 INFORMATION TECHNOLOGY DATA
- 6.3.1 CYBER SECURITY & IT INFRASTRUCTURE DATA
- 6.3.2 SAFETY & COMPLIANCE DATA
- 6.3.3 CUSTOMER & MARKET DATA
- 6.3.4 SUPPLY CHAIN & LOGISTICS DATA

7 INDUSTRIAL DATA MANAGEMENT MARKET, BY TYPE

7.1 INTRODUCTION
7.2 DATA INTEGRATION & STORAGE
- 7.2.1 RISING DEMAND FOR CLOUD AND AI TECHNOLOGIES FOR INTEGRATING AND STORING DATA EFFECTIVELY TO FOSTER MARKET GROWTH
- 7.2.2 DATA LAKE
- 7.2.3 DATA WAREHOUSES
- 7.2.4 DATABASES
- 7.2.5 DATA MESH
- 7.2.6 DATA FABRIC
7.3 DATA ORCHESTRATION & ANALYTICS
- 7.3.1 NEED TO OPTIMIZE OPERATION AND ENHANCE EFFICIENCY IN INDUSTRIAL SETTINGS TO DRIVE MARKET GROWTH
7.4 DATA SHARING
- 7.4.1 GROWING NEED FOR IMPROVED SCALABILITY IN CLOUD ENVIRONMENTS TO FUEL MARKET GROWTH
7.5 DATA SECURITY
- 7.5.1 RISING EMPHASIS ON IMPLEMENTING ROBUST DATA SECURITY AND PROTECTION MEASURES TO ENSURE SAFEGUARDING OF SENSITIVE INFORMATION TO SUPPORT MARKET GROWTH
7.6 DATA GOVERNANCE & COMPLIANCE
- 7.6.1 GROWING REGULATORY REQUIREMENTS AND DATA COMPLEXITIES TO BOOST DEMAND
7.7 DATA VISUALIZATION
- 7.7.1 ABILITY TO TRANSFORM COMPLEX DATASETS INTO GRAPHICAL REPRESENTATIONS TO FOSTER MARKET GROWTH

8 INDUSTRIAL DATA MANAGEMENT MARKET, BY OFFERING

8.1 INTRODUCTION
8.2 SOFTWARE
- 8.2.1 RISING ADOPTION OF INDUSTRY 5.0 TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
8.3 SERVICES
- 8.3.1 INCREASING NEED FOR INTEROPERABILITY BETWEEN LEGACY AND MODERN INDUSTRIAL SYSTEMS TO BOOST DEMAND

9 INDUSTRIAL DATA MANAGEMENT MARKET, BY DATA MANAGEMENT STACK

9.1 INTRODUCTION
9.2 LEGACY
- 9.2.1 INCORPORATION OF CLOUD-BASED STORAGE TO ENHANCE PERFORMANCE AND DECISION-MAKING TO FUEL MARKET GROWTH
9.3 MODERN
- 9.3.1 RISING ADOPTION OF LOW-CODE AND NO-CODE DATA INTEGRATION TOOLS TO DRIVE MARKET

10 INDUSTRIAL DATA MANAGEMENT, BY DEPLOYMENT

10.1 INTRODUCTION
10.2 CLOUD-BASED
- 10.2.1 PRESSING NEED TO MANAGE AND PROCESS VAST AMOUNTS OF DATA TO FUEL MARKET GROWTH
10.3 ON-PREMISES
- 10.3.1 INCREASING DEMAND FOR LOW-LATENCY PROCESSING TO DRIVE MARKET
10.4 HYBRID
- 10.4.1 RISING NEED TO SECURE SENSITIVE DATA ON-PREMISES AND ENHANCE SCALABILITY TO SUPPORT MARKET GROWTH

11 INDUSTRIAL DATA MANAGEMENT MARKET, BY ORGANIZATION TYPE

11.1 INTRODUCTION
11.2 SMALL & MID-SIZED
- 11.2.1 ADVANCEMENTS IN CLOUD-HOSTED SCADA TO FUEL MARKET GROWTH
11.3 LARGE
- 11.3.1 INCREASING DEMAND FOR REAL-TIME ANALYTICS, AUTOMATION, AND PREDICTIVE MAINTENANCE TO FOSTER MARKET GROWTH

12 INDUSTRIAL DATA MANAGEMENT, BY DATA TYPE

12.1 INTRODUCTION
12.2 STRUCTURED
- 12.2.1 RISING FOCUS ON ENHANCING OPERATIONAL EFFICIENCY AND INFORMED DECISION-MAKING TO DRIVE MARKET
12.3 UNSTRUCTURED
- 12.3.1 EXPONENTIAL GROWTH OF MULTIMEDIA CONTENT AND SENSOR DATA TO BOOST DEMAND
12.4 SEMI-STRUCTURED
- 12.4.1 PROLIFERATION OF XML AND JSON FORMATS TO DRIVE MARKET

13 INDUSTRIAL DATA MANAGEMENT MARKET, BY INDUSTRY

13.1 INTRODUCTION
13.2 HEALTHCARE & LIFE SCIENCES
- 13.2.1 WIDESPREAD ADOPTION OF EHRS, TELEMEDICINE PLATFORMS, AND IOT-ENABLED MEDICAL EQUIPMENT TO DRIVE MARKET
13.3 BFSI
- 13.3.1 FOCUS ON FRAUD DETECTION AND RISK MITIGATION TO BOOST DEMAND
13.4 MANUFACTURING & PROCESSING
- 13.4.1 RISE OF INDUSTRY 5.0 TO SUPPORT MARKET GROWTH
- 13.4.2 AUTOMOTIVE
- 13.4.3 AEROSPACE
- 13.4.4 FOOD & BEVERAGE
- 13.4.5 CHEMICAL
- 13.4.6 MINING
- 13.4.7 OIL & GAS
13.5 TELECOM & NETWORKING
- 13.5.1 RAPID EXPANSION OF MOBILE DEVICES, IOT, 5G NETWORKS, AND CLOUD-BASED SERVICES TO FUEL MARKET GROWTH
13.6 ENERGY & UTILITIES
- 13.6.1 GROWING DEPENDENCE OF ENERGY SECTOR ON ROBUST DATA SOLUTIONS TO SUPPORT MARKET GROWTH
13.7 WAREHOUSING & LOGISTICS
- 13.7.1 PROLIFERATION OF E-COMMERCE, JUST-IN-TIME DELIVERY MODELS, AND COMPLEX INVENTORY NETWORKS TO BOOST DEMAND

14 INDUSTRIAL DATA MANAGEMENT MARKET, BY REGION

14.1 INTRODUCTION
14.2 NORTH AMERICA
- 14.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
- 14.2.2 US
  - 14.2.2.1 Rising demand for industrial automation in BFSI and manufacturing industries to fuel market growth
- 14.2.3 CANADA
  - 14.2.3.1 Rapid adoption of digital tools across industries to drive market
- 14.2.4 MEXICO
  - 14.2.4.1 Growing focus on innovative technologies such as autonomous systems and electric aircraft to support market growth
14.3 EUROPE
- 14.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
- 14.3.2 GERMANY
  - 14.3.2.1 Transition from hybrid to public cloud infrastructure to fuel market growth
- 14.3.3 UK
  - 14.3.3.1 Surge in automotive manufacturing to drive market
- 14.3.4 FRANCE
  - 14.3.4.1 Government-led initiatives to boost digital transformation to drive market
- 14.3.5 ITALY
  - 14.3.5.1 Rising emphasis on optimizing production processes to drive market
- 14.3.6 SPAIN
  - 14.3.6.1 Expanding automotive sector to foster market growth
- 14.3.7 POLAND
  - 14.3.7.1 Promotion of Industry 5.0 and automation to fuel market growth
- 14.3.8 NORDICS
  - 14.3.8.1 Rapid adoption of AI and generative AI in manufacturing firms to drive market
- 14.3.9 REST OF EUROPE
14.4 ASIA PACIFIC
- 14.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
- 14.4.2 CHINA
  - 14.4.2.1 Integration of AI and big data in financial services to fuel market growth
- 14.4.3 JAPAN
  - 14.4.3.1 Strong emphasis on advanced manufacturing and technological innovation to boost demand
- 14.4.4 SOUTH KOREA
  - 14.4.4.1 Presence of established end-use sectors to offer lucrative growth opportunities
- 14.4.5 INDIA
  - 14.4.5.1 Government-led initiatives to boost digital transformation to foster market growth
- 14.4.6 AUSTRALIA
  - 14.4.6.1 Growing reliance of mining, energy, and manufacturing industries on advanced industrial data management technologies to drive market
- 14.4.7 INDONESIA
  - 14.4.7.1 Rapid advancements in healthcare and manufacturing sectors to support market growth
- 14.4.8 MALAYSIA
  - 14.4.8.1 Increasing complexity of manufacturing processes to drive market
- 14.4.9 THAILAND
  - 14.4.9.1 Rising demand for sustainable packaging solutions to fuel market growth
- 14.4.10 VIETNAM
  - 14.4.10.1 Expanding manufacturing, product assembly, and downstream services to support market growth
- 14.4.11 REST OF ASIA PACIFIC
14.5 ROW
- 14.5.1 MACROECONOMIC OUTLOOK FOR ROW
- 14.5.2 MIDDLE EAST
  - 14.5.2.1 Bahrain
    - 14.5.2.1.1 Rising emphasis on modernizing industries to foster market growth
  - 14.5.2.2 Kuwait
    - 14.5.2.2.1 Expanding energy sector to drive market
  - 14.5.2.3 Oman
    - 14.5.2.3.1 Developing non-petroleum manufacturing sector to fuel market growth
  - 14.5.2.4 Qatar
    - 14.5.2.4.1 Diversification of production sector to offer lucrative growth opportunities
  - 14.5.2.5 Saudi Arabia
    - 14.5.2.5.1 Diversification of production sector to boost demand
  - 14.5.2.6 UAE
    - 14.5.2.6.1 Rising emphasis on developing industrial sector to fuel market growth
  - 14.5.2.7 Rest of Middle East
- 14.5.3 AFRICA
  - 14.5.3.1 South Africa
    - 14.5.3.1.1 Presence of diverse industrial landscape to drive market
  - 14.5.3.2 Rest of Africa
- 14.5.4 SOUTH AMERICA
  - 14.5.4.1 Thriving manufacturing sectors to boost demand

15 COMPETITIVE LANDSCAPE

15.1 OVERVIEW
15.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022-2024
15.3 REVENUE ANALYSIS, 2021-2024
15.4 MARKET SHARE ANALYSIS, 2024
15.5 COMPANY VALUATION AND FINANCIAL METRICS, 2024
15.6 BRAND/PRODUCT COMPARISON
15.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
- 15.7.1 STARS
- 15.7.2 EMERGING LEADERS
- 15.7.3 PERVASIVE PLAYERS
- 15.7.4 PARTICIPANTS
- 15.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
  - 15.7.5.1 Company footprint
  - 15.7.5.2 Region footprint
  - 15.7.5.3 Type footprint
  - 15.7.5.4 Offering footprint
  - 15.7.5.5 Deployment footprint
  - 15.7.5.6 Industry footprint
15.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
- 15.8.1 PROGRESSIVE COMPANIES
- 15.8.2 RESPONSIVE COMPANIES
- 15.8.3 DYNAMIC COMPANIES
- 15.8.4 STARTING BLOCKS
- 15.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
  - 15.8.5.1 Detailed list of key startups/SMEs
  - 15.8.5.2 Competitive benchmarking of key startups/SMEs
15.9 COMPETITIVE SCENARIO
- 15.9.1 PRODUCT LAUNCHES
- 15.9.2 DEALS
- 15.9.3 OTHER DEVELOPMENTS

16 COMPANY PROFILES

16.1 KEY PLAYERS
- 16.1.1 MICROSOFT
  - 16.1.1.1 Business overview
  - 16.1.1.2 Products/Solutions/Services offered
  - 16.1.1.3 Recent developments
    - 16.1.1.3.1 Deals
    - 16.1.1.3.2 Other developments
  - 16.1.1.4 MnM view
    - 16.1.1.4.1 Key strengths/Right to win
    - 16.1.1.4.2 Strategic choices
    - 16.1.1.4.3 Weaknesses/Competitive threats
- 16.1.2 ALPHABET INC.
  - 16.1.2.1 Business overview
  - 16.1.2.2 Products/Solutions/Services offered
  - 16.1.2.3 Recent developments
    - 16.1.2.3.1 Deals
  - 16.1.2.4 MnM view
    - 16.1.2.4.1 Key strengths/Right to win
    - 16.1.2.4.2 Strategic choices
    - 16.1.2.4.3 Weaknesses/Competitive threats
- 16.1.3 SAP
  - 16.1.3.1 Business overview
  - 16.1.3.2 Products/Solutions/Services offered
  - 16.1.3.3 Recent developments
    - 16.1.3.3.1 Deals
    - 16.1.3.3.2 Other developments
  - 16.1.3.4 MnM view
    - 16.1.3.4.1 Key strengths/Right to win
    - 16.1.3.4.2 Strategic choices
    - 16.1.3.4.3 Weaknesses/Competitive threats
- 16.1.4 IBM
  - 16.1.4.1 Business overview
  - 16.1.4.2 Products/Solutions/Services offered
  - 16.1.4.3 Recent developments
    - 16.1.4.3.1 Product launches
    - 16.1.4.3.2 Deals
    - 16.1.4.3.3 Other developments
  - 16.1.4.4 MnM view
    - 16.1.4.4.1 Key strengths/Right to win
    - 16.1.4.4.2 Strategic choices
    - 16.1.4.4.3 Weaknesses/Competitive threats
- 16.1.5 ORACLE
  - 16.1.5.1 Business overview
  - 16.1.5.2 Products/Solutions/Services offered
  - 16.1.5.3 Recent developments
    - 16.1.5.3.1 Deals
  - 16.1.5.4 MnM View
    - 16.1.5.4.1 Key strengths/Right to win
    - 16.1.5.4.2 Strategic choices
    - 16.1.5.4.3 Weaknesses/Competitive threats
- 16.1.6 AMAZON WEB SERVICES, INC.
  - 16.1.6.1 Business overview
  - 16.1.6.2 Products/Solutions/Services offered
  - 16.1.6.3 Recent developments
    - 16.1.6.3.1 Product launches
  - 16.1.6.4 MnM view
    - 16.1.6.4.1 Key strengths/Right to win
    - 16.1.6.4.2 Strategic choices
    - 16.1.6.4.3 Weaknesses/Competitive threats
- 16.1.7 AVEVA GROUP LIMITED
  - 16.1.7.1 Business overview
  - 16.1.7.2 Products/Solutions/Services offered
  - 16.1.7.3 Recent developments
    - 16.1.7.3.1 Product launches
    - 16.1.7.3.2 Other developments
- 16.1.8 TALEND, INC.
  - 16.1.8.1 Business overview
  - 16.1.8.2 Products/Solutions/Services offered
  - 16.1.8.3 Recent developments
    - 16.1.8.3.1 Deals
    - 16.1.8.3.2 Other developments
- 16.1.9 SNOWFLAKE INC.
  - 16.1.9.1 Business overview
  - 16.1.9.2 Products/Solutions/Services offered
    - 16.1.9.2.1 Product launches
    - 16.1.9.2.2 Deals
- 16.1.10 INFORMATICA INC.
  - 16.1.10.1 Business overview
  - 16.1.10.2 Products/Solutions/Services offered
  - 16.1.10.3 Recent developments
    - 16.1.10.3.1 Product launches
    - 16.1.10.3.2 Deals
    - 16.1.10.3.3 Other developments
- 16.1.11 SIEMENS
  - 16.1.11.1 Business overview
  - 16.1.11.2 Products/Solutions/Services offered
- 16.1.12 HONEYWELL INTERNATIONAL INC.
  - 16.1.12.1 Business overview
  - 16.1.12.2 Products/Solutions/Services offered
- 16.1.13 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
  - 16.1.13.1 Business overview
  - 16.1.13.2 Products/Solutions/Services offered
  - 16.1.13.3 Recent developments
    - 16.1.13.3.1 Deals
- 16.1.14 DELL INC.
  - 16.1.14.1 Business overview
  - 16.1.14.2 Products/Solutions/Services offered
  - 16.1.14.3 Recent developments
    - 16.1.14.3.1 Product launches
16.2 OTHER PLAYERS
- 16.2.1 DATABRICKS
- 16.2.2 PALANTIR TECHNOLOGIES INC.
- 16.2.3 ABB
- 16.2.4 CLOUDERA, INC.
- 16.2.5 ATACCAMA
- 16.2.6 ASPEN TECHNOLOGY INC
- 16.2.7 C3.AI, INC
- 16.2.8 COGNITE AS
- 16.2.9 ROCKWELL AUTOMATION
- 16.2.10 GE VERNOVA
- 16.2.11 HITACHI VANTARA LLC.
- 16.2.12 HEXAGON AB
- 16.2.13 SYMPHONYAI
- 16.2.14 TERADATA
- 16.2.15 CONFLUENT, INC.

17 APPENDIX

17.1 INSIGHTS FROM INDUSTRY EXPERTS
17.2 DISCUSSION GUIDE
17.3 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
17.4 CUSTOMIZATION OPTIONS
17.5 RELATED REPORTS
17.6 AUTHOR DETAILS