출판 : MarketsandMarkets (마켓츠앤마켓츠) 출판년월 : 2023년05월
데이터옵스 (DataOps) 플랫폼 시장 : 오퍼링(플랫폼 및 서비스), 유형(애자일 개발, DevOps, 린 매뉴팩처링), 배포 모드, 수직형(BFSI, 통신, 의료 및 생명 과학), 지역별 – 2028년까지의 세계 예측
DataOps Platform Market by Offering (Platform and Services), Type (Agile Development, DevOps, and Lean Manufacturing), Deployment Mode, Vertical (BFSI, Telecommunications, and Healthcare & Life Sciences) and Region – Global Forecast to 2028
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| 구성 | 영문조사보고서 |
| 가격 |
The market for DataOps platform is projected to grow from USD 3.9 billion in 2023 to USD 10.9 billion by 2028, at a CAGR of 23.0% during the forecast period. The DataOps platform plays a crucial role as a centralized hub for managing and governing data pipelines, workflows, and processes. It fosters collaboration among diverse teams to facilitate collaboration among cross-functional teams, including data engineers, data scientists, and analysts. By providing a range of tools and capabilities, the platform enables automation, monitoring, and control of the end-to-end data lifecycle.
This centralized approach ensures streamlined operations and efficient collaboration, empowering organizations to effectively utilize and derive value from their data assets.
The agile development segment is projected to hold the largest market share during the forecast period
By type, the market is divided into agile development, DevOps, Lean Manufacturing. Agile Development in the DataOps platform helps organizations to enhance their ability to respond to changing business needs, improve project visibility and transparency, foster collaboration and innovation, and achieve faster time-to-value for their data initiatives. It empowers teams to efficiently manage data operations, optimize data processes, and deliver actionable insights dynamically and iteratively. During the forecast period, the agile development is anticipated to hold the largest market share.
Among offerings, the services segment is anticipated to grow at a highest CAGR during the forecast period
Services in a DataOps platform encompass a wide range of functionalities and capabilities designed to facilitate efficient and effective data operations and management. These services are specifically tailored to address the challenges and requirements of handling data throughout its lifecycle. Services in the DataOps platform facilitate decision-making for businesses by integrating efficient AI capabilities, real-time analytics, and insight delivery into the applications. During the forecast period, the services segment is anticipated to grow at the highest CAGR.
North America to account for the largest market size during the forecast period
During the forecast period, North America is estimated to account for the largest size of the market for DataOps platform. The region has a thriving technology industry that is driving the adoption of DataOps platforms. Many of the world’s leading technology companies are based in North America, and these companies are investing heavily in data infrastructure and analytics capabilities. The emergence of new technologies that make it easier to manage and analyze data is driving the adoption of DataOps platforms in North America.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the DataOps platform market.
By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
By Region: APAC: 30%, Europe: 20%, North America: 45%, Rest of World: 5%
The report includes the study of key players offering DataOps platform solutions and services. It profiles major vendors in the global market. The major vendors Microsoft (US), IBM (US), Oracle (US), AWS (US), Informatica (US), Teradata (US), Wipro (India), Accenture (Ireland), SAS Institute (US), Hitachi Vantara (US), DataKitchen (US), Atlan (Singapore), Dataiku (US), Fosfor (India), Databricks (US), StreamSets (US), Talend (US), Collibra (US), Celonis (US), BMC Software (US), Saagie (France), Composable Analytics (US), Tengu.io (Belgium), Unravel Data (US), Monte Carlo Data (US), Census (US), RightData (US), Zaloni (US), Datafold (US), DataOps.live (UK), K2view (Israel).
Research Coverage
The market study covers DataOps platform across segments. It aims at estimating the market size and the growth potential across different segments, such as offering, type, deployment mode, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market for DataOps platform and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
• Analysis of key drivers (increased data complexity and data volumes, rise in need to gain real-time insights, increased demand for cloud solutions, and extensive focus on data-driven insights), restraints (data privacy and security concerns, budget constrain due to high investment), opportunities (need to bridge gap between data engineers and data analysts, need for data teams to keep pace with rapidly changing requirements), and challenges (lack of awareness and understanding of DataOps, need to mitigate the challenges of skilled talent shortage) influencing the growth of the DataOps platform market
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the DataOps platform market
• Market Development: Comprehensive information about lucrative markets – the report analyses DataOps platform market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in DataOps platform market strategies; the report also helps stakeholders understand the pulse of the DataOps platform market and provides them with information on key market drivers, restraints, challenges, and opportunities.
• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as IBM (US), Microsoft (US), Oracle (US), AWS (US) among others in the DataOps platform market.
목차
1 INTRODUCTION 43
1.1 STUDY OBJECTIVES 43
1.2 MARKET DEFINITION 43
1.2.1 INCLUSIONS AND EXCLUSIONS 44
1.3 STUDY SCOPE 45
1.3.1 MARKET SEGMENTATION 45
1.3.2 REGIONS COVERED 46
1.3.3 YEARS CONSIDERED 46
1.4 CURRENCY CONSIDERED 47
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2019–2022 47
1.5 STAKEHOLDERS 47
2 RESEARCH METHODOLOGY 48
2.1 RESEARCH DATA 48
FIGURE 1 DATAOPS PLATFORM MARKET: RESEARCH DESIGN 48
2.1.1 SECONDARY DATA 49
2.1.2 PRIMARY DATA 49
TABLE 2 PRIMARY INTERVIEWS 50
2.1.2.1 Breakup of primary profiles 50
2.1.2.2 Key industry insights 51
2.2 DATA TRIANGULATION 52
2.3 MARKET SIZE ESTIMATION 53
FIGURE 2 DATAOPS PLATFORM MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 53
2.3.1 TOP-DOWN APPROACH 53
2.3.2 BOTTOM-UP APPROACH 54
FIGURE 3 APPROACH 1 (SUPPLY SIDE): REVENUE FROM OFFERINGS OF DATAOPS PLATFORM MARKET 54
FIGURE 4 APPROACH 2—BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM OFFERINGS OF DATAOPS PLATFORM PLAYERS 55
FIGURE 5 APPROACH 3—BOTTOM-UP (SUPPLY SIDE): REVENUE AND SUBSEQUENT MARKET ESTIMATION FROM OFFERINGS OF DATAOPS PLATFORMS 55
FIGURE 6 APPROACH 4—BOTTOM-UP (DEMAND SIDE): SHARE OF DATAOPS PLATFORM OFFERINGS THROUGH OVERALL DATAOPS PLATFORM SPENDING 56
2.4 MARKET FORECAST 57
TABLE 3 FACTOR ANALYSIS 57
2.5 ASSUMPTIONS 58
2.6 LIMITATIONS 59
2.7 IMPLICATIONS OF RECESSION ON GLOBAL DATAOPS PLATFORM MARKET 60
TABLE 4 IMPACT OF RECESSION ON THE GLOBAL DATAOPS PLATFORM MARKET 60
3 EXECUTIVE SUMMARY 62
TABLE 5 GLOBAL DATAOPS PLATFORM MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y %) 63
TABLE 6 GLOBAL DATAOPS PLATFORM MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y %) 63
FIGURE 7 PLATFORM SEGMENT TO DOMINATE MARKET IN 2023 63
FIGURE 8 PROFESSIONAL SERVICES TO BE LARGEST SERVICES SEGMENT IN 2023 64
FIGURE 9 CONSULTING SERVICES TO BE LARGEST PROFESSIONAL SERVICES SEGMENT IN MARKET IN 2023 64
FIGURE 10 CLOUD SEGMENT TO DOMINATE DATAOPS PLATFORM MARKET IN 2023 64
FIGURE 11 PUBLIC CLOUD ESTIMATED TO BE LARGEST SEGMENT IN 2023 65
FIGURE 12 AGILE DEVELOPMENT ESTIMATED TO BE LARGEST TYPE SEGMENT IN 2023 65
FIGURE 13 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 66
FIGURE 14 MARKET IN ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 66
4 PREMIUM INSIGHTS 67
4.1 ATTRACTIVE OPPORTUNITIES IN DATAOPS PLATFORM MARKET 67
FIGURE 15 RISING NEED TO GAIN REAL-TIME INSIGHTS FROM DATA TO DRIVE MARKET GROWTH 67
4.2 DATAOPS PLATFORM MARKET: BY TYPE 67
FIGURE 16 AGILE DEVELOPMENT SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 67
4.3 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY OFFERING AND TOP THREE VERTICALS 68
FIGURE 17 PLATFORM SEGMENT AND BFSI SEGMENT TO HOLD LARGEST MARKET SHARES IN NORTH AMERICA IN 2023 68
4.4 DATAOPS PLATFORM MARKET: BY REGION 68
FIGURE 18 NORTH AMERICA TO HOLD THE LARGEST MARKET SHARE IN 2023 68
5 MARKET OVERVIEW AND INDUSTRY TRENDS 69
5.1 INTRODUCTION 69
5.2 MARKET DYNAMICS 69
FIGURE 19 DATAOPS PLATFORM MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 69
5.2.1 DRIVERS 70
5.2.1.1 Increased data complexity and data volume 70
5.2.1.2 Rise in need to gain real-time insights 70
5.2.1.3 Increased demand for cloud solutions 70
5.2.1.4 Extensive focus on data-driven insights 71
5.2.2 RESTRAINTS 71
5.2.2.1 Data privacy and security concerns 71
5.2.2.2 Budget constraints due to high investment 71
5.2.3 OPPORTUNITIES 72
5.2.3.1 Need to bridge gap between data engineers and data analysts 72
5.2.3.2 Need for data teams to keep pace with rapidly changing requirements 72
5.2.4 CHALLENGES 72
5.2.4.1 Lack of awareness and understanding of DataOps 72
5.2.4.2 Shortage of skilled talent 73
5.3 CASE STUDY ANALYSIS 73
5.3.1 HEALTHCARE AND LIFE SCIENCES 73
5.3.1.1 Large pharmaceutical business selected DataKitchen to offer timely analytical insights 73
5.3.1.2 Roche Diagnostic used DataOps.live platform to become a more agile data-driven business 74
5.3.2 BFSI 74
5.3.2.1 StreamSets enabled Aon to hold its position as a leader in the financial services sector 74
5.3.2.2 Fannie Mae selected Hitachi Vantara to deliver game-changing value to their business 75
5.3.3 RETAIL AND ECOMMERCE 75
5.3.3.1 Unravel Data enabled 84.51° to enhance operational efficiency 75
5.3.4 TELECOM 76
5.3.4.1 DataOps.live enables OneWeb to deliver great service through complete visibility of operations 76
5.3.5 MANUFACTURING 76
5.3.5.1 Clarios leverages Spectra and Snowflake to create next-gen data and analytics ecosystem 76
5.3.5.2 Hitachi Vantara helped metals industry manufacturers reduce equipment downtime 77
5.3.6 EDUCATION 77
5.3.6.1 Ad Astra selected StreamSets to tackle their data ingestion challenges 77
5.4 BRIEF HISTORY OF DATAOPS PLATFORMS 78
5.5 DATAOPS PLATFORM MARKET: ECOSYSTEM 78
TABLE 7 DATAOPS PLATFORM MARKET: CLOUD PROVIDERS 79
TABLE 8 DATAOPS PLATFORM MARKET: PLATFORM PROVIDERS 79
TABLE 9 DATAOPS PLATFORM MARKET: SERVICE PROVIDERS 80
TABLE 10 DATAOPS PLATFORM MARKET: REGULATORY BODIES 80
FIGURE 20 DATAOPS PLATFORM ECOSYSTEM 81
5.6 DATAOPS PLATFORM ARCHITECTURE 82
FIGURE 21 DATAOPS PLATFORM ARCHITECTURE 82
5.7 DATAOPS PROCESS STRUCTURE 83
FIGURE 22 DATAOPS PROCESS STRUCTURE 83
5.7.1 DATA ANALYTICS PIPELINES 83
5.7.2 CI/CD FOR DATA OPERATIONS 84
5.8 SUPPLY CHAIN ANALYSIS 85
FIGURE 23 SUPPLY CHAIN ANALYSIS: DATAOPS PLATFORM MARKET 85
5.9 PRICING MODEL ANALYSIS 86
TABLE 11 AVERAGE SELLING PRICE ANALYSIS, 2023 86
5.10 PATENT ANALYSIS 87
5.10.1 METHODOLOGY 87
5.10.2 DOCUMENT TYPE 87
TABLE 12 PATENTS FILED, 2013–2023 87
5.10.3 INNOVATION AND PATENT APPLICATIONS 87
FIGURE 24 TOTAL NUMBER OF PATENTS GRANTED, 2013–2023 88
5.10.3.1 Top applicants 88
FIGURE 25 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS, 2013–2023 88
FIGURE 26 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023 89
TABLE 13 TOP 12 PATENT OWNERS IN THE DATAOPS PLATFORM MARKET, 2013–2023 89
TABLE 14 LIST OF PATENTS IN DATAOPS PLATFORM MARKET, 2021–2023 90
5.11 TECHNOLOGY ANALYSIS 92
5.11.1 RELATED TECHNOLOGY 92
5.11.1.1 Artificial intelligence 92
5.11.1.2 Machine learning 92
5.11.1.3 Big data 92
5.11.2 ALLIED TECHNOLOGY 93
5.11.2.1 DevOps 93
5.11.2.2 IoT 93
5.12 PORTER’S FIVE FORCES ANALYSIS 94
FIGURE 27 PORTER’S FIVE FORCES ANALYSIS 94
TABLE 15 PORTER’S FIVE FORCES ANALYSIS 94
5.12.1 THREAT OF NEW ENTRANTS 95
5.12.2 THREAT OF SUBSTITUTES 95
5.12.3 BARGAINING POWER OF SUPPLIERS 95
5.12.4 BARGAINING POWER OF BUYERS 95
5.12.5 INTENSITY OF COMPETITIVE RIVALRY 95
5.13 KEY CONFERENCES & EVENTS 96
TABLE 16 DATAOPS PLATFORM MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2023–2024 96
5.14 REGULATORY LANDSCAPE 96
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 96
TABLE 17 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 96
TABLE 18 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 97
TABLE 19 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 99
TABLE 20 REST OF THE WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 100
5.14.2 REGULATIONS, BY REGION 100
5.14.2.1 North America 100
5.14.2.2 Europe 101
5.14.2.3 Asia Pacific 102
5.14.2.4 Middle East & Africa 102
5.14.2.5 Latin America 102
5.14.3 REGULATORY IMPLICATIONS AND INDUSTRY STANDARDS 103
5.14.3.1 General Data Protection Regulation 103
5.14.3.2 Securities and Exchange Commission Rule 17a-4 103
5.14.3.3 International Organization for Standardization/International Electrotechnical Commission 27001 103
5.14.3.4 System and Organization Controls 2 Type II Compliance 103
5.14.3.5 Financial Industry Regulatory Authority 104
5.14.3.6 Freedom of Information Act 104
5.14.3.7 Health Insurance Portability and Accountability Act 104
5.15 KEY STAKEHOLDERS & BUYING CRITERIA 104
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 104
FIGURE 28 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 104
TABLE 21 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 105
5.15.2 BUYING CRITERIA 105
FIGURE 29 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 105
TABLE 22 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 105
5.16 DISRUPTIONS IMPACTING BUYERS/CLIENTS IN DATAOPS PLATFORM MARKET 106
FIGURE 30 DATAOPS PLATFORM MARKET: DISRUPTIONS IMPACTING BUYERS/CLIENTS 106
5.17 TECHNOLOGY ROADMAP OF DATAOPS PLATFORM 106
TABLE 23 SHORT-TERM ROADMAP, 2023–2025 106
TABLE 24 MID-TERM ROADMAP, 2026–2028 107
TABLE 25 LONG-TERM ROADMAP, 2029–2030 108
5.18 BUSINESS MODEL OF DATAOPS PLATFORM 109
5.18.1 API-BASED 109
5.18.2 CLOUD-BASED 110
5.19 KEY DIFFERENCES BETWEEN DATAOPS AND DEVOPS 110
5.20 FEATURES OF A DATAOPS PLATFORM 111
5.20.1 DATA PIPELINE ORCHESTRATION 111
5.20.2 TESTING AND PRODUCTION QUALITY 111
5.20.3 DEPLOYMENT AUTOMATION 111
5.20.4 DATA SCIENCE MODEL DEPLOYMENT/SANDBOX MANAGEMENT 111
5.21 BEST PRACTICES FOR DATAOPS PLATFORM MARKET 111
5.21.1 CATALOG DATA ASSETS AND PIPELINE 111
5.21.2 APPLY DATA GOVERNANCE FRAMEWORK 111
5.21.3 MONITOR, DOCUMENT, AND REMEDIATE DATA QUALITY 111
5.21.4 AUTOMATE DATA SOURCE AND PIPELINE DEPLOYMENT 112
5.21.5 MONITOR AND OPTIMIZE DATA SOURCE AND PIPELINE PERFORMANCE 112
6 DATAOPS PLATFORM MARKET, BY OFFERING 113
6.1 INTRODUCTION 114
6.1.1 OFFERING: DATAOPS PLATFORM MARKET DRIVERS 114
FIGURE 31 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 114
TABLE 26 DATAOPS PLATFORM MARKET, BY OFFERING, 2019–2022 (USD MILLION) 114
TABLE 27 DATAOPS PLATFORM MARKET, BY OFFERING, 2023–2028 (USD MILLION) 115
6.2 PLATFORM 115
TABLE 28 PLATFORM: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 115
TABLE 29 PLATFORM: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 116
6.2.1 DATA INTEGRATION 116
6.2.1.1 Ability to offer unified view of data and extract meaningful insights to drive demand 116
6.2.2 DATA QUALITY 116
6.2.2.1 Data quality features that help streamline data management processes to drive growth 116
6.2.3 DATA GOVERNANCE 117
6.2.3.1 Implementation of data governance to maintain data quality and security to spur adoption 117
6.2.4 MASTER DATA MANAGEMENT 117
6.2.4.1 Incorporation of master data management capabilities to ensure data accuracy and enhance data agility to boost growth 117
6.2.5 DATA ANALYTICS 117
6.2.5.1 Implementation of data analytics to make more strategically guided decisions to propel demand 117
6.2.6 AUTOMATION 118
6.2.6.1 Automation of repetitive and time-consuming tasks to reduce risk of errors to boost demand 118
6.2.7 COLLABORATION 118
6.2.7.1 Use of collaboration features to optimize DataOps processes to spur demand 118
6.2.8 DATA VISUALIZATION 118
6.2.8.1 Ability to drill down into specific data points and offer more detailed view of data to fuel adoption 118
6.2.9 OTHERS 119
6.2.9.1 Extensive use in gaining complete view of journey of data from source to destination to propel demand 119
6.3 SERVICES 119
FIGURE 32 TRAINING, SUPPORT, & MAINTENANCE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 119
TABLE 30 SERVICES: DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 120
TABLE 31 SERVICES: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 120
TABLE 32 SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 120
TABLE 33 SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 120
6.3.1 PROFESSIONAL SERVICES 121
TABLE 34 PROFESSIONAL SERVICES: DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 121
TABLE 35 PROFESSIONAL SERVICES: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 121
TABLE 36 PROFESSIONAL SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 121
TABLE 37 PROFESSIONAL SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 122
6.3.1.1 Consulting services 122
6.3.1.1.1 Rise in need to comply with various labor laws and regulations to drive demand 122
TABLE 38 CONSULTING SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 122
TABLE 39 CONSULTING SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 123
6.3.1.2 Deployment & integration 123
6.3.1.2.1 Increased adoption to reduce implementation time to propel demand 123
TABLE 40 DEPLOYMENT & INTEGRATION: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 123
TABLE 41 DEPLOYMENT & INTEGRATION: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 124
6.3.1.3 Training, support, & maintenance 124
6.3.1.3.1 Increased need for training, support, & maintenance services due to rise in adoption to support growth 124
TABLE 42 TRAINING, SUPPORT, & MAINTENANCE: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 124
TABLE 43 TRAINING, SUPPORT, & MAINTENANCE: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 125
6.3.2 MANAGED SERVICES 125
6.3.2.1 Ability to ensure system availability and minimize downtime to propel demand 125
TABLE 44 MANAGED SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 125
TABLE 45 MANAGED SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 126
7 DATAOPS PLATFORM MARKET, BY TYPE 127
7.1 INTRODUCTION 128
7.1.1 TYPE: DATAOPS PLATFORM MARKET DRIVERS 128
FIGURE 33 AGILE DEVELOPMENT SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 128
TABLE 46 DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 128
TABLE 47 DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 129
7.2 AGILE DEVELOPMENT 129
7.2.1 NEED TO OFFER EFFICIENT WORKFLOWS AND FASTER TIME-TO-MARKET FOR DATA ANALYTICS TO DRIVE GROWTH 129
TABLE 48 AGILE DEVELOPMENT: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 129
TABLE 49 AGILE DEVELOPMENT: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 130
7.3 DEVOPS 130
7.3.1 USE IN EFFICIENT DATAOPS PLATFORM DEVELOPMENT AND DELIVERY TO DRIVE DEMAND 130
TABLE 50 DEVOPS: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 130
TABLE 51 DEVOPS: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 131
7.4 LEAN MANUFACTURING 131
7.4.1 ABILITY TO ELIMINATE INEFFICIENCIES AND STREAMLINE DATA WORKFLOWS TO BOOST ADOPTION 131
TABLE 52 LEAN MANUFACTURING DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 131
TABLE 53 LEAN MANUFACTURING: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 132
8 DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE 133
8.1 INTRODUCTION 134
8.1.1 DEPLOYMENT MODE: DATAOPS PLATFORM MARKET DRIVERS 134
FIGURE 34 CLOUD SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 134
TABLE 54 DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION) 134
TABLE 55 DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 135
8.2 CLOUD 135
TABLE 56 CLOUD: DATAOPS PLATFORM MARKET, BY TYPE 2019–2022 (USD MILLION) 135
TABLE 57 CLOUD: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 135
TABLE 58 CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 136
TABLE 59 CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 136
8.2.1 PUBLIC CLOUD 136
8.2.1.1 Ability to eliminate expensive resources to drive demand 136
TABLE 60 PUBLIC CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 137
TABLE 61 PUBLIC CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 137
8.2.2 PRIVATE CLOUD 137
8.2.2.1 Ability to ensure compliance with data privacy regulations to support demand 137
TABLE 62 PRIVATE CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 138
TABLE 63 PRIVATE CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 138
8.2.3 HYBRID CLOUD 138
8.2.3.1 Ability to maintain control over critical data to propel demand 138
TABLE 64 HYBRID CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 139
TABLE 65 HYBRID CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 139
8.3 ON-PREMISES 139
8.3.1 BENEFITS SUCH AS HIGH PERFORMANCE AND GREATER CONTROL TO BOOST ADOPTION 139
TABLE 66 ON-PREMISES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 140
TABLE 67 ON-PREMISES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 140
9 DATAOPS PLATFORM MARKET, BY VERTICAL 141
9.1 INTRODUCTION 142
9.1.1 VERTICAL: DATAOPS PLATFORM MARKET DRIVERS 142
FIGURE 35 HEALTHCARE & LIFE SCIENCES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 142
TABLE 68 DATAOPS PLATFORM MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 143
TABLE 69 DATAOPS PLATFORM MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 143
9.2 BFSI 144
TABLE 70 BFSI: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 144
TABLE 71 BFSI: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 144
9.2.1 FINANCIAL DATA OPTIMIZATION 145
9.2.1.1 Increased need to optimize data management and analytics capabilities to drive demand 145
9.2.2 FRAUDULENT TRANSACTIONS IDENTIFICATION 145
9.2.2.1 Rise in volume of financial transactions to spur adoption 145
9.2.3 CREDIT SCORING 146
9.2.3.1 Increased demand for fast and accurate credit decisions to boost demand 146
9.2.4 INVESTMENT ANALYSIS 146
9.2.4.1 Ability to offer wide range of tools and services to analyze large volume of data to drive demand 146
9.2.5 OTHER BFSI APPLICATIONS 147
9.2.5.1 Need to comply with regulations to protect financial stability of organizations to drive demand 147
9.3 HEALTHCARE & LIFE SCIENCES 147
TABLE 72 HEALTHCARE & LIFE SCIENCES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 148
TABLE 73 HEALTHCARE & LIFE SCIENCES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 148
9.3.1 CLINICAL TRIAL MANAGEMENT 148
9.3.1.1 Efficient clinical trial management to propel adoption 148
9.3.2 ELECTRONIC HEALTH RECORD 149
9.3.2.1 Ability to gain insights from patient data to drive demand 149
9.3.3 PRECISION MEDICINE 149
9.3.3.1 Ability to process large-scale data sets to drive adoption 149
9.3.4 DRUG DISCOVERY 149
9.3.4.1 Accelerated drug discovery through use of advanced technologies to fuel demand 149
9.3.5 OTHER HEALTHCARE & LIFE SCIENCES APPLICATIONS 150
9.3.5.1 Analyzing large volumes of data from patient populations to identify patterns in patient health to propel demand 150
9.4 RETAIL & ECOMMERCE 150
TABLE 74 RETAIL & ECOMMERCE: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 151
TABLE 75 RETAIL & ECOMMERCE: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 151
9.4.1 PRICING OPTIMIZATION 151
9.4.1.1 Use in identifying anomalies and irregularities to optimize pricing to drive adoption 151
9.4.2 PERSONALIZED PRODUCT RECOMMENDATION 152
9.4.2.1 Ability to process data from various sources in real-time for personalized product recommendations to propel demand 152
9.4.3 INVENTORY MANAGEMENT 152
9.4.3.1 Ability to offer real-time visibility into inventory levels to fuel adoption 152
9.4.4 DEMAND FORECASTING 152
9.4.4.1 Use in analyzing historical sales data and external factors to accurately forecast demand to drive demand 152
9.4.5 OTHER RETAIL & ECOMMERCE APPLICATIONS 153
9.4.5.1 Ability to proactively address return-related challenges and optimize operations to drive demand 153
9.5 MANUFACTURING 153
TABLE 76 MANUFACTURING: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 154
TABLE 77 MANUFACTURING: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 154
9.5.1 PREDICTIVE MAINTENANCE 154
9.5.1.1 Use in identifying potential issues to avoid equipment downtime to spur adoption 154
9.5.2 SUPPLY CHAIN OPTIMIZATION 155
9.5.2.1 Need to adopt data-driven strategies to effectively manage supply chains to propel demand 155
9.5.3 PRODUCT QUALITY CONTROL 155
9.5.3.1 Ability to gain real-time insights into manufacturing processes to identify quality issues to fuel adoption 155
9.5.4 PRODUCT PLANNING AND SCHEDULING 155
9.5.4.1 Leveraging advanced analytics and automation to optimize production schedules to drive demand 155
9.5.5 OTHER MANUFACTURING APPLICATIONS 156
9.5.5.1 Wide range of capabilities to enhance asset tracking and supplier management to boost adoption 156
9.6 GOVERNMENT & DEFENSE 156
TABLE 78 GOVERNMENT & DEFENSE: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 156
TABLE 79 GOVERNMENT & DEFENSE: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 157
9.6.1 PUBLIC SAFETY 157
9.6.1.1 Efficiently identifying and responding to potential threats to drive demand 157
9.6.2 INTELLIGENCE GATHERING AND ANALYSIS 157
9.6.2.1 Increased demand to share intelligence data across multiple agencies to propel demand 157
9.6.3 EMERGENCY RESPONSE 158
9.6.3.1 Ability to offer quick decision-making during emergencies to spur demand 158
9.6.4 GEOSPATIAL ANALYSIS 158
9.6.4.1 Use of advance analytics tools to efficiently analyze large volumes to propel adoption 158
9.6.5 OTHER GOVERNMENT & DEFENSE APPLICATIONS 158
9.6.5.1 Implementation in processing large volumes of data in real-time to respond to security breaches to drive demand 158
9.7 TELECOMMUNICATIONS 159
TABLE 80 TELECOMMUNICATIONS: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 159
TABLE 81 TELECOMMUNICATIONS: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 159
9.7.1 NETWORK SECURITY 160
9.7.1.1 Enhancing network security by providing real-time monitoring and management of network resources to drive demand 160
9.7.2 NETWORK PERFORMANCE 160
9.7.2.1 Automation of routine tasks to manage network performance to boost adoption 160
9.7.3 REAL-TIME ANALYTICS 160
9.7.3.1 Use of real-time analytics for quick response to network outages to propel adoption 160
9.7.4 NETWORK CAPACITY PLANNING 161
9.7.4.1 Collecting real-time data to make informed decisions to manage network capacity to boost adoption 161
9.7.5 OTHER TELECOMMUNICATIONS APPLICATIONS 161
9.7.5.1 Optimization of service delivery and call delivery to enhance customer satisfaction to fuel adoption 161
9.8 TRANSPORTATION & LOGISTICS 161
TABLE 82 TRANSPORTATION & LOGISTICS: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 162
TABLE 83 TRANSPORTATION &LOGISTICS: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 162
9.8.1 ROUTE OPTIMIZATION 162
9.8.1.1 Gathering real-time data on traffic conditions to create more accurate routes to boost adoption 162
9.8.2 REAL-TIME TRACKING 163
9.8.2.1 Ability to respond quickly to traffic congestion to drive adoption 163
9.8.3 FLEET MANAGEMENT 163
9.8.3.1 Increased need to optimize fleet management operations to enhance customer satisfaction to drive adoption 163
9.8.4 OTHER TRANSPORTATION & LOGISTICS APPLICATIONS 163
9.8.4.1 Ability to improve overall safety for both drivers and the public to spur demand 163
9.9 IT/ITES 164
TABLE 84 IT/ITES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 164
TABLE 85 IT/ITES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 164
9.9.1 SOFTWARE DEVELOPMENT 165
9.9.1.1 Need to boost development process while ensuring higher accuracy and quality of code to drive adoption 165
9.9.2 IT INFRASTRUCTURE MANAGEMENT 165
9.9.2.1 Need for real-time visibility into the performance of IT systems to optimize IT resources to boost adoption 165
9.9.3 APPLICATION PERFORMANCE MANAGEMENT 165
9.9.3.1 Ability to optimize the performance of applications to propel demand 165
9.9.4 INCIDENT MANAGEMENT 166
9.9.4.1 Increased need to respond quickly and effectively to incidents to drive demand 166
9.9.5 OTHER IT/ITES APPLICATIONS 166
9.9.5.1 Ability to streamline DevOps processes and enhance security posture to fuel adoption 166
9.10 MEDIA & ENTERTAINMENT 167
TABLE 86 MEDIA & ENTERTAINMENT: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 167
TABLE 87 MEDIA & ENTERTAINMENT: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 167
9.10.1 CONTENT RECOMMENDATION 168
9.10.1.1 Rise in demand for analyzing user data to predict viewer preferences and recommend content to boost adoption 168
9.10.2 AD TARGETING 168
9.10.2.1 Use in analyzing massive volumes of data in real-time to adjust ad targeting strategies to propel demand 168
9.10.3 CONTENT OPTIMIZATION 168
9.10.3.1 Leveraging power of data to optimize content for specific channels to drive demand 168
9.10.4 AUDIENCE SEGMENTATION 169
9.10.4.1 Use in processing large amounts of data to personalize content to fuel adoption 169
9.10.5 OTHER MEDIA & ENTERTAINMENT APPLICATIONS 169
9.10.5.1 Use in analyzing data on audience engagement to optimize content distribution strategies to drive demand 169
9.11 OTHER VERTICALS 169
9.11.1 LEVERAGING THE POWER OF DATA AND ANALYTICS TO STREAMLINE OPERATIONS AND IMPROVE SERVICES TO SPUR DEMAND 169
TABLE 88 OTHER VERTICALS: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 170
TABLE 89 OTHER VERTICALS: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 170
10 DATAOPS PLATFORM MARKET, BY REGION 171
10.1 INTRODUCTION 172
FIGURE 36 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 172
FIGURE 37 INDIA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 173
TABLE 90 DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 173
TABLE 91 DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 173
10.2 NORTH AMERICA 174
10.2.1 NORTH AMERICA: DATAOPS PLATFORM MARKET DRIVERS 174
10.2.2 NORTH AMERICA: RECESSION IMPACT 174
FIGURE 38 NORTH AMERICA: MARKET SNAPSHOT 175
TABLE 92 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY OFFERING, 2019–2022 (USD MILLION) 175
TABLE 93 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY OFFERING, 2023–2028 (USD MILLION) 176
TABLE 94 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY SERVICES, 2019–2022 (USD MILLION) 176
TABLE 95 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY SERVICES, 2023–2028 (USD MILLION) 176
TABLE 96 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2019–2022 (USD MILLION) 176
TABLE 97 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2023–2028 (USD MILLION) 177
TABLE 98 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION) 177
TABLE 99 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 177
TABLE 100 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2019–2022 (USD MILLION) 177
TABLE 101 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 178
TABLE 102 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 178
TABLE 103 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 178
TABLE 104 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 179
TABLE 105 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 179
TABLE 106 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 180
TABLE 107 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 180
10.2.3 US 180
10.2.3.1 Increased emphasis on data-driven decision-making to fuel growth of market 180
10.2.4 CANADA 181
10.2.4.1 Rise in need to gain valuable insights to enhance operational efficiency to propel market growth 181
10.3 EUROPE 181
10.3.1 EUROPE: DATAOPS PLATFORM MARKET DRIVERS 182
10.3.2 EUROPE: RECESSION IMPACT 182
TABLE 108 EUROPE: DATAOPS PLATFORM MARKET, BY OFFERING, 2019–2022 (USD MILLION) 182
TABLE 109 EUROPE: DATAOPS PLATFORM MARKET, BY OFFERING, 2023–2028 (USD MILLION) 183
TABLE 110 EUROPE: DATAOPS PLATFORM MARKET, BY SERVICES, 2019–2022 (USD MILLION) 183
TABLE 111 EUROPE: DATAOPS PLATFORM MARKET, BY SERVICES, 2023–2028 (USD MILLION) 183
TABLE 112 EUROPE: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2019–2022 (USD MILLION) 183
TABLE 113 EUROPE: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2023–2028 (USD MILLION) 184
TABLE 114 EUROPE: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION) 184
TABLE 115 EUROPE: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 184
TABLE 116 EUROPE: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2019–2022 (USD MILLION) 184
TABLE 117 EUROPE: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 185
TABLE 118 EUROPE: DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 185
TABLE 119 EUROPE: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 185
TABLE 120 EUROPE: DATAOPS PLATFORM MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 186
TABLE 121 EUROPE: DATAOPS PLATFORM MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 186
TABLE 122 EUROPE: DATAOPS PLATFORM MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 187
TABLE 123 EUROPE: DATAOPS PLATFORM MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 187
10.3.3 UK 187
10.3.3.1 Rise in volume of data generated in companies across several verticals to spur market growth 187
10.3.4 GERMANY 188
10.3.4.1 Increased need to manage data effectively to fuel market growth 188
10.3.5 FRANCE 188
10.3.5.1 Increased application across several business verticals to drive market growth 188
10.3.6 ITALY 189
10.3.6.1 Presence of supportive business ecosystem to drive market growth 189
10.3.7 SPAIN 189
10.3.7.1 Rise in investments in technology and favorable government policies to propel market growth 189
10.3.8 REST OF EUROPE 190
10.3.8.1 Rise in need to analyze large volumes of data generated to spur market growth 190
10.4 ASIA PACIFIC 190
10.4.1 ASIA PACIFIC: DATAOPS PLATFORM MARKET DRIVERS 190
10.4.2 ASIA PACIFIC: IMPACT OF RECESSION 191
FIGURE 39 ASIA PACIFIC: MARKET SNAPSHOT 192
TABLE 124 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY OFFERING, 2019–2022 (USD MILLION) 192
TABLE 125 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY OFFERING, 2023–2028 (USD MILLION) 193
TABLE 126 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY SERVICES, 2019–2022 (USD MILLION) 193
TABLE 127 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY SERVICES, 2023–2028 (USD MILLION) 193
TABLE 128 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2019–2022 (USD MILLION) 193
TABLE 129 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2023–2028 (USD MILLION) 194
TABLE 130 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION) 194
TABLE 131 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 194
TABLE 132 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2019–2022 (USD MILLION) 194
TABLE 133 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 195
TABLE 134 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 195
TABLE 135 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 195
TABLE 136 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 196
TABLE 137 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 196
TABLE 138 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 197
TABLE 139 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 197
10.4.3 INDIA 198
10.4.3.1 Rise in adoption of advanced technologies for automated approach to data management to fuel market growth 198
10.4.4 JAPAN 198
10.4.4.1 Increased demand to improve efficiency and agility of data operations to propel market growth 198
10.4.5 CHINA 199
10.4.5.1 Increased willingness to foster technological developments and provide policy support to propel market growth 199
10.4.6 AUSTRALIA AND NEW ZEALAND 199
10.4.6.1 Rise in need to gain competitive advantage through data-driven insights to propel market growth 199
10.4.7 SOUTH KOREA 200
10.4.7.1 Increased focus on innovation and adoption of advanced technologies to drive market growth 200
10.4.8 ASEAN 201
10.4.8.1 Increased use in automating data analytics processes to speed up decision-making process to propel market growth 201
10.4.9 REST OF ASIA PACIFIC 201
10.4.9.1 Rise in competition from global players to drive market growth 201
10.5 MIDDLE EAST & AFRICA 202
10.5.1 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET DRIVERS 202
10.5.2 MIDDLE EAST & AFRICA: IMPACT OF RECESSION 202
TABLE 140 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY OFFERING, 2019–2022 (USD MILLION) 203
TABLE 141 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY OFFERING, 2023–2028 (USD MILLION) 203
TABLE 142 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY SERVICES, 2019–2022 (USD MILLION) 203
TABLE 143 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY SERVICES, 2023–2028 (USD MILLION) 203
TABLE 144 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2019–2022 (USD MILLION) 204
TABLE 145 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2023–2028 (USD MILLION) 204
TABLE 146 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION) 204
TABLE 147 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 204
TABLE 148 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2019–2022 (USD MILLION) 205
TABLE 149 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 205
TABLE 150 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 205
TABLE 151 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 205
TABLE 152 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 206
TABLE 153 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 206
TABLE 154 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 207
TABLE 155 MIDDLE EAST & AFRICA: DATAOPS PLATFORM MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 207
10.5.3 SAUDI ARABIA 207
10.5.3.1 Initiatives taken by government to support digital technologies to propel market growth 207
10.5.4 UAE 208
10.5.4.1 Rise in awareness of advanced data analytics capabilities to drive adoption 208
10.5.5 SOUTH AFRICA 208
10.5.5.1 Rise in demand for data assets to gain competitive advantage to boost adoption 208
10.5.6 ISRAEL 209
10.5.6.1 Extracting valuable insights from extensive data sets to drive adoption 209
10.5.7 REST OF MIDDLE EAST & AFRICA 209
10.5.7.1 Increased investments in infrastructure to support digital transformation and support market growth 209
10.6 LATIN AMERICA 209
10.6.1 LATIN AMERICA: DATAOPS PLATFORM MARKET DRIVERS 210
10.6.2 LATIN AMERICA: IMPACT OF RECESSION 210
TABLE 156 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY OFFERING, 2019–2022 (USD MILLION) 210
TABLE 157 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY OFFERING, 2023–2028 (USD MILLION) 210
TABLE 158 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY SERVICES, 2019–2022 (USD MILLION) 211
TABLE 159 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY SERVICES, 2023–2028 (USD MILLION) 211
TABLE 160 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2019–2022 (USD MILLION) 211
TABLE 161 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2023–2028 (USD MILLION) 211
TABLE 162 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION) 212
TABLE 163 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 212
TABLE 164 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2019–2022 (USD MILLION) 212
TABLE 165 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 212
TABLE 166 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 213
TABLE 167 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 213
TABLE 168 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 213
TABLE 169 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 214
TABLE 170 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 214
TABLE 171 LATIN AMERICA: DATAOPS PLATFORM MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 214
10.6.3 BRAZIL 215
10.6.3.1 Rise in need for effective data management and analysis to drive market 215
10.6.4 MEXICO 215
10.6.4.1 Increased demand for real-time insights and streamlined workflows to fuel market growth 215
10.6.5 ARGENTINA 216
10.6.5.1 Rise in need for businesses to manage and analyze data effectively to boost market growth 216
10.6.6 REST OF LATIN AMERICA 216
10.6.6.1 Increased adoption of cutting-edge technologies to stay competitive in market to boost demand 216
11 COMPETITIVE LANDSCAPE 217
11.1 OVERVIEW 217
11.2 STRATEGIES ADOPTED BY KEY PLAYERS 217
TABLE 172 OVERVIEW OF STRATEGIES ADOPTED BY KEY DATAOPS PLATFORM VENDORS 217
11.3 REVENUE ANALYSIS 219
11.3.1 HISTORICAL REVENUE ANALYSIS 219
FIGURE 40 HISTORICAL REVENUE ANALYSIS OF TOP PLAYERS, 2020–2022 (USD MILLION) 219
11.4 MARKET SHARE ANALYSIS 220
FIGURE 41 MARKET SHARE ANALYSIS FOR KEY COMPANIES, 2022 220
TABLE 173 DATAOPS PLATFORM MARKET: DEGREE OF COMPETITION 221
11.5 COMPANY EVALUATION QUADRANT 221
11.5.1 STARS 221
11.5.2 EMERGING LEADERS 221
11.5.3 PERVASIVE PLAYERS 222
11.5.4 PARTICIPANTS 222
FIGURE 42 KEY DATAOPS PLATFORM MARKET PLAYERS, COMPANY EVALUATION QUADRANT, 2022 222
11.5.5 COMPETITIVE BENCHMARKING 223
TABLE 174 DATAOPS PLATFORM MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022 223
11.6 STARTUPS/SMES EVALUATION QUADRANT 224
11.6.1 PROGRESSIVE COMPANIES 224
11.6.2 RESPONSIVE COMPANIES 224
11.6.3 DYNAMIC COMPANIES 224
11.6.4 STARTING BLOCKS 224
FIGURE 43 STARTUPS/SMES DATAOPS PLATFORM PLAYERS, COMPANY EVALUATION QUADRANT, 2022 225
11.6.5 STARTUPS/SMES COMPETITIVE BENCHMARKING 225
TABLE 175 DATAOPS PLATFORM MARKET: DETAILED LIST OF KEY STARTUPS/SMES 226
TABLE 176 DATAOPS PLATFORM MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/SMES, 2023 227
11.7 DATAOPS PLATFORM PRODUCT LANDSCAPE 228
TABLE 177 COMPARATIVE ANALYSIS OF DATA INTEGRATION PRODUCTS 228
TABLE 178 COMPARATIVE ANALYSIS OF DATA PREPARATION PRODUCTS 229
TABLE 179 COMPARATIVE ANALYSIS OF DATA CATALOG PRODUCTS 229
11.8 COMPETITIVE SCENARIO AND TRENDS 230
11.8.1 PRODUCT LAUNCHES AND ENHANCEMENTS 230
TABLE 180 SERVICE/PRODUCT LAUNCHES AND ENHANCEMENTS, 2019–2023 230
11.8.2 DEALS 232
TABLE 181 DEALS, 2019–2023 232
11.9 VALUATION AND FINANCIAL METRICS OF KEY DATAOPS PLATFORM VENDORS 236
FIGURE 44 VALUATION AND FINANCIAL METRICS OF KEY DATAOPS PLATFORM VENDORS 236
11.10 YEAR TO-DATE (YTD) PRICE TOTAL RETURN AND STOCK BETA OF KEY DATAOPS PLATFORM VENDORS 236
FIGURE 45 YTD PRICE TOTAL RETURN AND STOCK BETA OF KEY DATAOPS PLATFORM VENDORS 236
12 COMPANY PROFILES 237
12.1 INTRODUCTION 237
12.2 MAJOR PLAYERS 237
(Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View)*
12.2.1 IBM 237
TABLE 182 IBM: BUSINESS OVERVIEW 237
FIGURE 46 IBM: COMPANY SNAPSHOT 238
TABLE 183 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 238
TABLE 184 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS 239
TABLE 185 IBM: DEALS 240
12.2.2 MICROSOFT 241
TABLE 186 MICROSOFT: BUSINESS OVERVIEW 241
FIGURE 47 MICROSOFT: COMPANY SNAPSHOT 242
TABLE 187 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 242
TABLE 188 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS 243
TABLE 189 MICROSOFT: DEALS 243
12.2.3 ORACLE 245
TABLE 190 ORACLE: BUSINESS OVERVIEW 245
FIGURE 48 ORACLE: COMPANY SNAPSHOT 246
TABLE 191 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 246
TABLE 192 ORACLE: DEALS 247
12.2.4 AWS 248
TABLE 193 AWS: BUSINESS OVERVIEW 248
FIGURE 49 AWS: COMPANY SNAPSHOT 248
TABLE 194 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 249
TABLE 195 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS 249
TABLE 196 AWS: DEALS 250
12.2.5 INFORMATICA 252
TABLE 197 INFORMATICA: BUSINESS OVERVIEW 252
FIGURE 50 INFORMATICA: COMPANY SNAPSHOT 253
TABLE 198 INFORMATICA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 253
TABLE 199 INFORMATICA: PRODUCT LAUNCHES AND ENHANCEMENTS 254
TABLE 200 INFORMATICA: DEALS 257
TABLE 201 INFORMATICA: OTHERS 259
12.2.6 TERADATA 260
TABLE 202 TERADATA: BUSINESS OVERVIEW 260
FIGURE 51 TERADATA: COMPANY SNAPSHOT 261
TABLE 203 TERADATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 261
TABLE 204 TERADATA: PRODUCT LAUNCHES AND ENHANCEMENTS 262
TABLE 205 TERADATA: DEALS 263
TABLE 206 TERADATA: OTHERS 265
12.2.7 WIPRO 266
TABLE 207 WIPRO: BUSINESS OVERVIEW 266
FIGURE 52 WIPRO: COMPANY SNAPSHOT 266
TABLE 208 WIPRO: PRODUCTS/SOLUTIONS/SERVICES OFFERED 267
TABLE 209 WIPRO: PRODUCT LAUNCHES AND ENHANCEMENTS 267
TABLE 210 WIPRO: DEALS 268
12.2.8 ACCENTURE 269
TABLE 211 ACCENTURE: BUSINESS OVERVIEW 269
FIGURE 53 ACCENTURE: COMPANY SNAPSHOT 270
TABLE 212 ACCENTURE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 270
TABLE 213 ACCENTURE: PRODUCT LAUNCHES AND ENHANCEMENTS 271
TABLE 214 ACCENTURE: DEALS 271
12.2.9 SAS INSTITUTE 272
TABLE 215 SAS INSTITUTE: BUSINESS OVERVIEW 272
TABLE 216 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 272
TABLE 217 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS 273
TABLE 218 SAS INSTITUTE: DEALS 274
12.2.10 HITACHI VANTARA 277
TABLE 219 HITACHI VANTARA: BUSINESS OVERVIEW 277
TABLE 220 HITACHI VANTARA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 277
TABLE 221 HITACHI VANTARA: PRODUCT LAUNCHES AND ENHANCEMENTS 278
TABLE 222 HITACHI VANTARA: DEALS 280
12.2.11 DATAKITCHEN 282
TABLE 223 DATAKITCHEN: BUSINESS OVERVIEW 282
TABLE 224 DATAKITCHEN: PRODUCTS/SOLUTIONS/SERVICES OFFERED 282
TABLE 225 DATAKITCHEN: PRODUCT LAUNCHES AND ENHANCEMENTS 283
12.2.12 ATLAN 284
TABLE 226 ATLAN: BUSINESS OVERVIEW 284
TABLE 227 ATLAN: PRODUCTS/SOLUTIONS/SERVICES OFFERED 284
TABLE 228 ATLAN: DEALS 285
12.2.13 DATAIKU 286
TABLE 229 DATAIKU: BUSINESS OVERVIEW 286
TABLE 230 DATAIKU: PRODUCTS/SOLUTION/SERVICES OFFERED 286
TABLE 231 DATAIKU: PRODUCT LAUNCHES AND ENHANCEMENTS 286
TABLE 232 DATAIKU: DEALS 287
TABLE 233 DATAIKU: OTHERS 288
12.2.14 FOSFOR 289
TABLE 234 FOSFOR: BUSINESS OVERVIEW 289
TABLE 235 FOSFOR: PRODUCTS/SOLUTIONS/SERVICES OFFERED 289
TABLE 236 FOSFOR: DEALS 289
12.2.15 DATABRICKS 290
TABLE 237 DATABRICKS: BUSINESS OVERVIEW 290
TABLE 238 DATABRICKS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 290
TABLE 239 DATABRICKS: PRODUCT LAUNCHES AND ENHANCEMENTS 291
TABLE 240 DATABRICKS: DEALS 292
TABLE 241 DATABRICKS: OTHERS 293
12.3 OTHER PLAYERS 294
12.3.1 BMC SOFTWARE 294
TABLE 242 BMC SOFTWARE: BUSINESS OVERVIEW 294
TABLE 243 BMC SOFTWARE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 294
TABLE 244 BMC SOFTWARE: PRODUCT LAUNCHES AND ENHANCEMENTS 295
TABLE 245 BMC SOFTWARE: DEALS 296
12.3.2 STREAMSETS 297
TABLE 246 STREAMSETS: BUSINESS OVERVIEW 297
TABLE 247 STREAMSETS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 297
TABLE 248 STREAMSETS: PRODUCT LAUNCHES AND ENHANCEMENTS 298
TABLE 249 STREAMSETS: DEALS 298
12.3.3 TALEND 300
TABLE 250 TALEND: BUSINESS OVERVIEW 300
TABLE 251 TALEND: PRODUCTS/SOLUTIONS/SERVICES OFFERED 300
TABLE 252 TALEND: PRODUCT LAUNCHES AND ENHANCEMENTS 301
TABLE 253 TALEND: DEALS 302
12.3.4 COLLIBRA 303
TABLE 254 COLLIBRA: BUSINESS OVERVIEW 303
TABLE 255 COLLIBRA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 303
TABLE 256 COLLIBRA: PRODUCT LAUNCHES 303
TABLE 257 COLLIBRA: DEALS 304
TABLE 258 COLLIBRA: OTHERS 305
12.3.5 CELONIS 306
12.3.6 SAAGIE 306
12.3.7 COMPOSABLE ANALYTICS 307
12.3.8 TENGU.IO 307
12.3.9 UNRAVEL DATA 308
12.3.10 MONTE CARLO DATA 308
12.3.11 CENSUS 309
12.3.12 RIGHTDATA 309
12.3.13 ZALONI 310
12.3.14 DATAFOLD 310
12.3.15 DATAOPS.LIVE 311
12.3.16 K2VIEW 311
*Details on Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
13 ADJACENT AND RELATED MARKETS 312
13.1 INTRODUCTION 312
13.2 ADVANCED ANALYTICS MARKET—GLOBAL FORECAST TO 2026 312
13.2.1 MARKET DEFINITION 312
13.2.2 MARKET OVERVIEW 312
13.2.3 ADVANCED ANALYTICS MARKET, BY COMPONENT 312
TABLE 259 ADVANCED ANALYTICS MARKET SIZE, BY COMPONENT, 2016–2020 (USD MILLION) 313
TABLE 260 ADVANCED ANALYTICS MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION) 313
13.2.4 ADVANCED ANALYTICS MARKET, BY BUSINESS FUNCTION 313
TABLE 261 ADVANCED ANALYTICS MARKET SIZE, BY BUSINESS FUNCTION, 2016–2020 (USD MILLION) 314
TABLE 262 ADVANCED ANALYTICS MARKET SIZE, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION) 314
13.2.5 ADVANCED ANALYTICS MARKET, BY TYPE 314
TABLE 263 ADVANCED ANALYTICS MARKET SIZE, BY TYPE, 2016–2020 (USD MILLION) 315
TABLE 264 ADVANCED ANALYTICS MARKET SIZE, BY TYPE, 2021–2026 (USD MILLION) 315
13.2.6 ADVANCED ANALYTICS MARKET, BY DEPLOYMENT MODE 315
TABLE 265 ADVANCED ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION) 316
TABLE 266 ADVANCED ANALYTICS MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION) 316
13.2.7 ADVANCED ANALYTICS MARKET, BY ORGANIZATION SIZE 316
TABLE 267 ADVANCED ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2016–2020 (USD MILLION) 317
TABLE 268 ADVANCED ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION) 317
13.2.8 ADVANCED ANALYTICS MARKET, BY VERTICAL 317
TABLE 269 ADVANCED ANALYTICS MARKET SIZE, BY VERTICAL, 2016–2020 (USD MILLION) 318
TABLE 270 ADVANCED ANALYTICS MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION) 318
13.2.9 ADVANCED ANALYTICS MARKET, BY REGION 319
TABLE 271 ADVANCED ANALYTICS MARKET SIZE, BY REGION, 2016–2020 (USD MILLION) 319
TABLE 272 ADVANCED ANALYTICS MARKET SIZE, BY REGION, 2021–2026 (USD MILLION) 319
13.3 DATA CATALOG MARKET—GLOBAL FORECAST TO 2027 320
13.3.1 MARKET DEFINITION 320
13.3.2 MARKET OVERVIEW 320
13.3.3 DATA CATALOG MARKET, BY COMPONENT 320
TABLE 273 DATA CATALOG MARKET, BY COMPONENT, 2017–2021 (USD MILLION) 320
TABLE 274 DATA CATALOG MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 321
13.3.4 DATA CATALOG MARKET, BY SERVICE 321
TABLE 275 SERVICES: DATA CATALOG MARKET, BY TYPE, 2017–2021 (USD MILLION) 321
TABLE 276 SERVICES: DATA CATALOG MARKET, BY TYPE, 2022–2027 (USD MILLION) 321
13.3.5 DATA CATALOG MARKET, BY DEPLOYMENT MODE 322
TABLE 277 DATA CATALOG MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION) 322
TABLE 278 DATA CATALOG MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 322
13.3.6 DATA CATALOG MARKET, BY DATA CONSUMER 322
TABLE 279 DATA CATALOG MARKET, BY DATA CONSUMER, 2017–2021 (USD MILLION) 323
TABLE 280 DATA CATALOG MARKET, BY DATA CONSUMER, 2022–2027 (USD MILLION) 323
13.3.7 DATA CATALOG MARKET, BY METADATA TYPE 323
TABLE 281 DATA CATALOG MARKET, BY METADATA TYPE, 2017–2021 (USD MILLION) 323
TABLE 282 DATA CATALOG MARKET, BY METADATA TYPE, 2022–2027 (USD MILLION) 324
13.3.8 DATA CATALOG MARKET, BY ORGANIZATION SIZE 324
TABLE 283 DATA CATALOG MARKET, BY ORGANIZATION SIZE, 2017–2021 (USD MILLION) 324
TABLE 284 DATA CATALOG MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 324
13.3.9 DATA CATALOG MARKET, BY VERTICAL 324
TABLE 285 DATA CATALOG MARKET, BY VERTICAL, 2017–2021 (USD MILLION) 325
TABLE 286 DATA CATALOG MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 325
13.3.10 DATA CATALOG MARKET, BY REGION 326
TABLE 287 DATA CATALOG MARKET, BY REGION, 2017–2021 (USD MILLION) 326
TABLE 288 DATA CATALOG MARKET, BY REGION, 2022–2027 (USD MILLION) 326
14 APPENDIX 327
14.1 DISCUSSION GUIDE 327
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 332
14.3 CUSTOMIZATIONS OPTIONS 334
14.4 RELATED REPORTS 334
14.5 AUTHOR DETAILS 335
