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

1.1 Study Objectives
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Study Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.3.3 Years Considered
1.4 Currency Considered
Table 1 United States Dollar Exchange Rate, 2019-2022
1.5 Stakeholders

2.1 Research Data
Figure 1 Dataops Platform Market: Research Design
2.1.1 Secondary Data
2.1.2 Primary Data
Table 2 Primary Interviews
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Data Triangulation
2.3 Market Size Estimation
Figure 2 Market: Top-Down and Bottom-Up Approaches
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
Figure 3 Approach 1 (Supply Side): Revenue from Offerings of Market
Figure 4 Approach 2 - Bottom-Up (Supply Side): Collective Revenue from Offerings of Dataops Platform Players
Figure 5 Approach 3 - Bottom-Up (Supply Side): Revenue and Subsequent Market Estimation from Offerings of Dataops Platforms
Figure 6 Approach 4 - Bottom-Up (Demand Side): Share of Dataops Platform Offerings Through Overall Dataops Platform Spending
2.4 Market Forecast
Table 3 Factor Analysis
2.5 Assumptions
2.6 Limitations
2.7 Implications of Recession on the Global Market
Table 4 Impact of Recession on the Global Market

Table 5 Global Dataops Platform Market Size and Growth Rate, 2019-2022 (USD Million, Y-O-Y %)
Table 6 Global Market Size and Growth Rate, 2023-2028 (USD Million, Y-O-Y %)
Figure 7 Platform Segment to Dominate Market in 2023
Figure 8 Professional Services to be Largest Services Segment in 2023
Figure 9 Consulting Services to be Largest Professional Services Segment in the Market in 2023
Figure 10 Cloud Segment to Dominate Market in 2023
Figure 11 Public Cloud Estimated to be Largest Segment in 2023
Figure 12 Agile Development Estimated to be Largest Type Segment in 2023
Figure 13 Healthcare & Life Sciences Segment to Grow at Highest CAGR During Forecast Period
Figure 14 Market in Asia-Pacific to Grow at Highest CAGR During Forecast Period

4.1 Attractive Opportunities in Dataops Platform Market
Figure 15 Rising Need to Gain Real-Time Insights from Data to Drive Market Growth
4.2 Market: by Type
Figure 16 Agile Development Segment to Grow at Highest CAGR During Forecast Period
4.3 North America: Market, by Offering and Top Three Verticals
Figure 17 Platform Segment and Bfsi Segment to Hold Largest Market Shares in North America in 2023
4.4 Market: by Region
Figure 18 North America to Hold the Largest Market Share in 2023

5.1 Introduction
5.2 Market Dynamics
Figure 19 Dataops Platform Market: Drivers, Restraints, Opportunities, and Challenges
5.2.1 Drivers
5.2.1.1 Increased Data Complexity and Data Volume
5.2.1.2 Rise in Need to Gain Real-Time Insights
5.2.1.3 Increased Demand for Cloud Solutions
5.2.1.4 Extensive Focus on Data-Driven Insights
5.2.2 Restraints
5.2.2.1 Data Privacy and Security Concerns
5.2.2.2 Budget Constraints due to High Investment
5.2.3 Opportunities
5.2.3.1 Need to Bridge Gap Between Data Engineers and Data Analysts
5.2.3.2 Need for Data Teams to Keep Pace with Rapidly Changing Requirements
5.2.4 Challenges
5.2.4.1 Lack of Awareness and Understanding of Dataops
5.2.4.2 Shortage of Skilled Talent
5.3 Case Study Analysis
5.3.1 Healthcare and Life Sciences
5.3.1.1 Large Pharmaceutical Business Selected Datakitchen to Offer Timely Analytical Insights
5.3.1.2 Roche Diagnostic Used Dataops.Live Platform to Become a More Agile Data-Driven Business
5.3.2 Bfsi
5.3.2.1 Streamsets Enabled Aon to Hold Its Position as a Leader in the Financial Services Sector
5.3.2.2 Fannie Mae Selected Hitachi Vantara to Deliver Game-Changing Value to Their Business
5.3.3 Retail and E-commerce
5.3.3.1 Unravel Data Enabled 84.51° to Enhance Operational Efficiency
5.3.4 Telecom
5.3.4.1 Dataops.Live Enables Oneweb to Deliver Great Service Through Complete Visibility of Operations
5.3.5 Manufacturing
5.3.5.1 Clarios Leverages Spectra and Snowflake to Create Next-Gen Data and Analytics Ecosystem
5.3.5.2 Hitachi Vantara Helped Metals Industry Manufacturers Reduce Equipment Downtime
5.3.6 Education
5.3.6.1 Ad Astra Selected Streamsets to Tackle Their Data Ingestion Challenges
5.4 Brief History of Dataops Platforms
5.5 Dataops Platform Market: Ecosystem
Table 7 Market: Cloud Providers
Table 8 Market: Platform Providers
Table 9 Market: Service Providers
Table 10 Market: Regulatory Bodies
Figure 20 Dataops Platform Ecosystem
5.6 Dataops Platform Architecture
Figure 21 Dataops Platform Architecture
5.7 Dataops Process Structure
Figure 22 Dataops Process Structure
5.7.1 Data Analytics Pipelines
5.7.2 Ci/Cd for Data Operations
5.8 Supply Chain Analysis
Figure 23 Supply Chain Analysis: Dataops Platform Market
5.9 Pricing Model Analysis
Table 11 Average Selling Price Analysis, 2023
5.10 Patent Analysis
5.10.1 Methodology
5.10.2 Document Type
Table 12 Patents Filed, 2013-2023
5.10.3 Innovation and Patent Applications
Figure 24 Total Number of Patents Granted, 2013-2023
5.10.3.1 Top Applicants
Figure 25 Top Ten Companies with Highest Number of Patent Applications in Last 10 Years, 2013-2023
Figure 26 Regional Analysis of Patents Granted, 2013-2023
Table 13 Top 12 Patent Owners in the Market, 2013-2023
Table 14 List of Patents in Dataops Platform Market, 2021-2023
5.11 Technology Analysis
5.11.1 Related Technology
5.11.1.1 Artificial Intelligence
5.11.1.2 Machine Learning
5.11.1.3 Big Data
5.11.2 Allied Technology
5.11.2.1 Devops
5.11.2.2 IoT
5.12 Porter's Five Forces Analysis
Figure 27 Porter's Five Forces Analysis
Table 15 Porter's Five Forces Analysis
5.12.1 Threat of New Entrants
5.12.2 Threat of Substitutes
5.12.3 Bargaining Power of Suppliers
5.12.4 Bargaining Power of Buyers
5.12.5 Intensity of Competitive Rivalry
5.13 Key Conferences & Events
Table 16 Dataops Platform Market: Detailed List of Conferences and Events, 2023-2024
5.14 Regulatory Landscape
5.14.1 Regulatory Bodies, Government Agencies, and Other Organizations
Table 17 North America: Regulatory Bodies, Government Agencies, and Other Organizations
Table 18 Europe: Regulatory Bodies, Government Agencies, and Other Organizations
Table 19 Asia-Pacific: Regulatory Bodies, Government Agencies, and Other Organizations
Table 20 Rest of the World: Regulatory Bodies, Government Agencies, and Other Organizations
5.14.2 Regulations, by Region
5.14.2.1 North America
5.14.2.2 Europe
5.14.2.3 Asia-Pacific
5.14.2.4 Middle East & Africa
5.14.2.5 Latin America
5.14.3 Regulatory Implications and Industry Standards
5.14.3.1 General Data Protection Regulation
5.14.3.2 Securities and Exchange Commission Rule 17A-4
5.14.3.3 International Organization for Standardization/International Electrotechnical Commission 27001
5.14.3.4 System and Organization Controls 2 Type II Compliance
5.14.3.5 Financial Industry Regulatory Authority
5.14.3.6 Freedom of Information Act
5.14.3.7 Health Insurance Portability and Accountability Act
5.15 Key Stakeholders & Buying Criteria
5.15.1 Key Stakeholders in Buying Process
Figure 28 Influence of Stakeholders on Buying Process for Top Three Verticals
Table 21 Influence of Stakeholders on Buying Process for Top Three Verticals
5.15.2 Buying Criteria
Figure 29 Key Buying Criteria for Top Three Verticals
Table 22 Key Buying Criteria for Top Three Verticals
5.16 Disruptions Impacting Buyers/Clients in Dataops Platform Market
Figure 30 Market: Disruptions Impacting Buyers/Clients
5.17 Technology Roadmap of Dataops Platform
Table 23 Short-Term Roadmap, 2023-2025
Table 24 Mid-Term Roadmap, 2026-2028
Table 25 Long-Term Roadmap, 2029-2030
5.18 Business Model of Dataops Platform
5.18.1 API-based
5.18.2 Cloud-based
5.19 Key Differences Between Dataops and Devops
5.20 Features of a Dataops Platform
5.20.1 Data Pipeline Orchestration
5.20.2 Testing and Production Quality
5.20.3 Deployment Automation
5.20.4 Data Science Model Deployment/Sandbox Management
5.21 Best Practices for Market
5.21.1 Catalog Data Assets and Pipeline
5.21.2 Apply Data Governance Framework
5.21.3 Monitor, Document, and Remediate Data Quality
5.21.4 Automate Data Source and Pipeline Deployment
5.21.5 Monitor and Optimize Data Source and Pipeline Performance

6.1 Introduction
6.1.1 Offering: Market Drivers
Figure 31 Services Segment to Register Higher CAGR During Forecast Period
Table 26 Market, by Offering, 2019-2022 (USD Million)
Table 27 Market, by Offering, 2023-2028 (USD Million)
6.2 Platform
Table 28 Platform: Market, by Region, 2019-2022 (USD Million)
Table 29 Platform: Dataops Platform Market, by Region, 2023-2028 (USD Million)
6.2.1 Data Integration
6.2.1.1 Ability to Offer Unified View of Data and Extract Meaningful Insights to Drive Demand
6.2.2 Data Quality
6.2.2.1 Data Quality Features That Help Streamline Data Management Processes to Drive Growth
6.2.3 Data Governance
6.2.3.1 Implementation of Data Governance to Maintain Data Quality and Security to Spur Adoption
6.2.4 Master Data Management
6.2.4.1 Incorporation of Master Data Management Capabilities to Ensure Data Accuracy and Enhance Data Agility to Boost Growth
6.2.5 Data Analytics
6.2.5.1 Implementation of Data Analytics to Make More Strategically Guided Decisions to Propel Demand
6.2.6 Automation
6.2.6.1 Automation of Repetitive and Time-Consuming Tasks to Reduce Risk of Errors to Boost Demand
6.2.7 Collaboration
6.2.7.1 Use of Collaboration Features to Optimize Dataops Processes to Spur Demand
6.2.8 Data Visualization
6.2.8.1 Ability to Drill Down into Specific Data Points and Offer More Detailed View of Data to Fuel Adoption
6.2.9 Others
6.2.9.1 Extensive Use in Gaining Complete View of Journey of Data from Source to Destination to Propel Demand
6.3 Services
Figure 32 Training, Support, & Maintenance Segment to Register Highest CAGR During Forecast Period
Table 30 Services: Dataops Platform Market, by Type, 2019-2022 (USD Million)
Table 31 Services: Market, by Type, 2023-2028 (USD Million)
Table 32 Services: Market, by Region, 2019-2022 (USD Million)
Table 33 Services: Market, by Region, 2023-2028 (USD Million)
6.3.1 Professional Services
Table 34 Professional Services: Market, by Type, 2019-2022 (USD Million)
Table 35 Professional Services: Market, by Type, 2023-2028 (USD Million)
Table 36 Professional Services: Market, by Region, 2019-2022 (USD Million)
Table 37 Professional Services: Market, by Region, 2023-2028 (USD Million)
6.3.1.1 Consulting Services
6.3.1.1.1 Rise in Need to Comply with Various Labor Laws and Regulations to Drive Demand
Table 38 Consulting Services: Market, by Region, 2019-2022 (USD Million)
Table 39 Consulting Services: Market, by Region, 2023-2028 (USD Million)
6.3.1.2 Deployment & Integration
6.3.1.2.1 Increased Adoption to Reduce Implementation Time to Propel Demand
Table 40 Deployment & Integration: Dataops Platform Market, by Region, 2019-2022 (USD Million)
Table 41 Deployment & Integration: Market, by Region, 2023-2028 (USD Million)
6.3.1.3 Training, Support, & Maintenance
6.3.1.3.1 Increased Need for Training, Support, & Maintenance Services due to Rise in Adoption to Support Growth
Table 42 Training, Support, & Maintenance: Market, by Region, 2019-2022 (USD Million)
Table 43 Training, Support, & Maintenance: Market, by Region, 2023-2028 (USD Million)
6.3.2 Managed Services
6.3.2.1 Ability to Ensure System Availability and Minimize Downtime to Propel Demand
Table 44 Managed Services: Market, by Region, 2019-2022 (USD Million)
Table 45 Managed Services: Market, by Region, 2023-2028 (USD Million)

7.1 Introduction
7.1.1 Type: Market Drivers
Figure 33 Agile Development Segment to Register Highest CAGR During Forecast Period
Table 46 Market, by Type, 2019-2022 (USD Million)
Table 47 Market, by Type, 2023-2028 (USD Million)
7.2 Agile Development
7.2.1 Need to Offer Efficient Workflows and Faster Time-To-Market for Data Analytics to Drive Growth
Table 48 Agile Development: Market, by Region, 2019-2022 (USD Million)
Table 49 Agile Development: Market, by Region, 2023-2028 (USD Million)
7.3 Devops
7.3.1 Use in Efficient Dataops Platform Development and Delivery to Drive Demand
Table 50 Devops: Market, by Region, 2019-2022 (USD Million)
Table 51 Devops: Market, by Region, 2023-2028 (USD Million)
7.4 Lean Manufacturing
7.4.1 Ability to Eliminate Inefficiencies and Streamline Data Workflows to Boost Adoption
Table 52 Lean Manufacturing Market, by Region, 2019-2022 (USD Million)
Table 53 Lean Manufacturing: Market, by Region, 2023-2028 (USD Million)

8.1 Introduction
8.1.1 Deployment Mode: Market Drivers
Figure 34 Cloud Segment to Register Higher CAGR During Forecast Period
Table 54 Market, by Deployment Mode, 2019-2022 (USD Million)
Table 55 Market, by Deployment Mode, 2023-2028 (USD Million)
8.2 Cloud
Table 56 Cloud: Market, by Type 2019-2022 (USD Million)
Table 57 Cloud: Market, by Type, 2023-2028 (USD Million)
Table 58 Cloud: Market, by Region, 2019-2022 (USD Million)
Table 59 Cloud: Market, by Region, 2023-2028 (USD Million)
8.2.1 Public Cloud
8.2.1.1 Ability to Eliminate Expensive Resources to Drive Demand
Table 60 Public Cloud: Dataops Platform Market, by Region, 2019-2022 (USD Million)
Table 61 Public Cloud: Market, by Region, 2023-2028 (USD Million)
8.2.2 Private Cloud
8.2.2.1 Ability to Ensure Compliance with Data Privacy Regulations to Support Demand
Table 62 Private Cloud: Market, by Region, 2019-2022 (USD Million)
Table 63 Private Cloud: Market, by Region, 2023-2028 (USD Million)
8.2.3 Hybrid Cloud
8.2.3.1 Ability to Maintain Control Over Critical Data to Propel Demand
Table 64 Hybrid Cloud: Market, by Region, 2019-2022 (USD Million)
Table 65 Hybrid Cloud: Market, by Region, 2023-2028 (USD Million)
8.3 On-Premises
8.3.1 Benefits Such as High Performance and Greater Control to Boost Adoption
Table 66 On-Premises: Market, by Region, 2019-2022 (USD Million)
Table 67 On-Premises: Market, by Region, 2023-2028 (USD Million)

9.1 Introduction
9.1.1 Vertical: Market Drivers
Figure 35 Healthcare & Life Sciences Segment to Register Highest CAGR During Forecast Period
Table 68 Market, by Vertical, 2019-2022 (USD Million)
Table 69 Market, by Vertical, 2023-2028 (USD Million)
9.2 Bfsi
Table 70 Bfsi: Market, by Region, 2019-2022 (USD Million)
Table 71 Bfsi: Market, by Region, 2023-2028 (USD Million)
9.2.1 Financial Data Optimization
9.2.1.1 Increased Need to Optimize Data Management and Analytics Capabilities to Drive Demand
9.2.2 Fraudulent Transactions Identification
9.2.2.1 Rise in Volume of Financial Transactions to Spur Adoption
9.2.3 Credit Scoring
9.2.3.1 Increased Demand for Fast and Accurate Credit Decisions to Boost Demand
9.2.4 Investment Analysis
9.2.4.1 Ability to Offer Wide Range of Tools and Services to Analyze Large Volume of Data to Drive Demand
9.2.5 Other Bfsi Applications
9.2.5.1 Need to Comply with Regulations to Protect Financial Stability of Organizations to Drive Demand
9.3 Healthcare & Life Sciences
Table 72 Healthcare & Life Sciences: Dataops Platform Market, by Region, 2019-2022 (USD Million)
Table 73 Healthcare & Life Sciences: Market, by Region, 2023-2028 (USD Million)
9.3.1 Clinical Trial Management
9.3.1.1 Efficient Clinical Trial Management to Propel Adoption
9.3.2 Electronic Health Record
9.3.2.1 Ability to Gain Insights from Patient Data to Drive Demand
9.3.3 Precision Medicine
9.3.3.1 Ability to Process Large-Scale Data Sets to Drive Adoption
9.3.4 Drug Discovery
9.3.4.1 Accelerated Drug Discovery Through Use of Advanced Technologies to Fuel Demand
9.3.5 Other Healthcare & Life Sciences Applications
9.3.5.1 Analyzing Large Volumes of Data from Patient Populations to Identify Patterns in Patient Health to Propel Demand
9.4 Retail & Ecommerce
Table 74 Retail & Ecommerce: Dataops Platform Market, by Region, 2019-2022 (USD Million)
Table 75 Retail & Ecommerce: Market, by Region, 2023-2028 (USD Million)
9.4.1 Pricing Optimization
9.4.1.1 Use in Identifying Anomalies and Irregularities to Optimize Pricing to Drive Adoption
9.4.2 Personalized Product Recommendation
9.4.2.1 Ability to Process Data from Various Sources in Real-Time for Personalized Product Recommendations to Propel Demand
9.4.3 Inventory Management
9.4.3.1 Ability to Offer Real-Time Visibility into Inventory Levels to Fuel Adoption
9.4.4 Demand Forecasting
9.4.4.1 Use in Analyzing Historical Sales Data and External Factors to Accurately Forecast Demand to Drive Demand
9.4.5 Other Retail & Ecommerce Applications
9.4.5.1 Ability to Proactively Address Return-Related Challenges and Optimize Operations to Drive Demand
9.5 Manufacturing
Table 76 Manufacturing: Dataops Platform Market, by Region, 2019-2022 (USD Million)
Table 77 Manufacturing: Market, by Region, 2023-2028 (USD Million)
9.5.1 Predictive Maintenance
9.5.1.1 Use in Identifying Potential Issues to Avoid Equipment Downtime to Spur Adoption
9.5.2 Supply Chain Optimization
9.5.2.1 Need to Adopt Data-Driven Strategies to Effectively Manage Supply Chains to Propel Demand
9.5.3 Product Quality Control
9.5.3.1 Ability to Gain Real-Time Insights into Manufacturing Processes to Identify Quality Issues to Fuel Adoption
9.5.4 Product Planning and Scheduling
9.5.4.1 Leveraging Advanced Analytics and Automation to Optimize Production Schedules to Drive Demand
9.5.5 Other Manufacturing Applications
9.5.5.1 Wide Range of Capabilities to Enhance Asset Tracking and Supplier Management to Boost Adoption
9.6 Government & Defense
Table 78 Government & Defense: Dataops Platform Market, by Region, 2019-2022 (USD Million)
Table 79 Government & Defense: Market, by Region, 2023-2028 (USD Million)
9.6.1 Public Safety
9.6.1.1 Efficiently Identifying and Responding to Potential Threats to Drive Demand
9.6.2 Intelligence Gathering and Analysis
9.6.2.1 Increased Demand to Share Intelligence Data Across Multiple Agencies to Propel Demand
9.6.3 Emergency Response
9.6.3.1 Ability to Offer Quick Decision-Making During Emergencies to Spur Demand
9.6.4 Geospatial Analysis
9.6.4.1 Use of Advance Analytics Tools to Efficiently Analyze Large Volumes to Propel Adoption
9.6.5 Other Government & Defense Applications
9.6.5.1 Implementation in Processing Large Volumes of Data in Real-Time to Respond to Security Breaches to Drive Demand
9.7 Telecommunications
Table 80 Telecommunications: Market, by Region, 2019-2022 (USD Million)
Table 81 Telecommunications: Market, by Region, 2023-2028 (USD Million)
9.7.1 Network Security
9.7.1.1 Enhancing Network Security by Providing Real-Time Monitoring and Management of Network Resources to Drive Demand
9.7.2 Network Performance
9.7.2.1 Automation of Routine Tasks to Manage Network Performance to Boost Adoption
9.7.3 Real-Time Analytics
9.7.3.1 Use of Real-Time Analytics for Quick Response to Network Outages to Propel Adoption
9.7.4 Network Capacity Planning
9.7.4.1 Collecting Real-Time Data to Make Informed Decisions to Manage Network Capacity to Boost Adoption
9.7.5 Other Telecommunications Applications
9.7.5.1 Optimization of Service Delivery and Call Delivery to Enhance Customer Satisfaction to Fuel Adoption
9.8 Transportation & Logistics
Table 82 Transportation & Logistics: Dataops Platform Market, by Region, 2019-2022 (USD Million)
Table 83 Transportation &Logistics: Market, by Region, 2023-2028 (USD Million)
9.8.1 Route Optimization
9.8.1.1 Gathering Real-Time Data on Traffic Conditions to Create More Accurate Routes to Boost Adoption
9.8.2 Real-Time Tracking
9.8.2.1 Ability to Respond Quickly to Traffic Congestion to Drive Adoption
9.8.3 Fleet Management
9.8.3.1 Increased Need to Optimize Fleet Management Operations to Enhance Customer Satisfaction to Drive Adoption
9.8.4 Other Transportation & Logistics Applications
9.8.4.1 Ability to Improve Overall Safety for Both Drivers and the Public to Spur Demand
9.9 IT/Ites
Table 84 IT/Ites: Market, by Region, 2019-2022 (USD Million)
Table 85 IT/Ites: Market, by Region, 2023-2028 (USD Million)
9.9.1 Software Development
9.9.1.1 Need to Boost Development Process while Ensuring Higher Accuracy and Quality of Code to Drive Adoption
9.9.2 IT Infrastructure Management
9.9.2.1 Need for Real-Time Visibility into the Performance of IT Systems to Optimize IT Resources to Boost Adoption
9.9.3 Application Performance Management
9.9.3.1 Ability to Optimize the Performance of Applications to Propel Demand
9.9.4 Incident Management
9.9.4.1 Increased Need to Respond Quickly and Effectively to Incidents to Drive Demand
9.9.5 Other IT/Ites Applications
9.9.5.1 Ability to Streamline Devops Processes and Enhance Security Posture to Fuel Adoption
9.10 Media & Entertainment
Table 86 Media & Entertainment: Dataops Platform Market, by Region, 2019-2022 (USD Million)
Table 87 Media & Entertainment: Market, by Region, 2023-2028 (USD Million)
9.10.1 Content Recommendation
9.10.1.1 Rise in Demand for Analyzing User Data to Predict Viewer Preferences and Recommend Content to Boost Adoption
9.10.2 Ad Targeting
9.10.2.1 Use in Analyzing Massive Volumes of Data in Real-Time to Adjust Ad Targeting Strategies to Propel Demand
9.10.3 Content Optimization
9.10.3.1 Leveraging Power of Data to Optimize Content for Specific Channels to Drive Demand
9.10.4 Audience Segmentation
9.10.4.1 Use in Processing Large Amounts of Data to Personalize Content to Fuel Adoption
9.10.5 Other Media & Entertainment Applications
9.10.5.1 Use in Analyzing Data on Audience Engagement to Optimize Content Distribution Strategies to Drive Demand
9.11 Other Verticals
9.11.1 Leveraging the Power of Data and Analytics to Streamline Operations and Improve Services to Spur Demand
Table 88 Other Verticals: Market, by Region, 2019-2022 (USD Million)
Table 89 Other Verticals: Market, by Region, 2023-2028 (USD Million)

10.1 Introduction
Figure 36 Asia-Pacific to Grow at Highest CAGR During Forecast Period
Figure 37 India to Grow at Highest CAGR During Forecast Period
Table 90 Market, by Region, 2019-2022 (USD Million)
Table 91 Market, by Region, 2023-2028 (USD Million)
10.2 North America
10.2.1 North America: Market Drivers
10.2.2 North America: Recession Impact
Figure 38 North America: Market Snapshot
Table 92 North America: Dataops Platform Market, by Offering, 2019-2022 (USD Million)
Table 93 North America: Market, by Offering, 2023-2028 (USD Million)
Table 94 North America: Market, by Services, 2019-2022 (USD Million)
Table 95 North America: Market, by Services, 2023-2028 (USD Million)
Table 96 North America: Market, by Professional Services, 2019-2022 (USD Million)
Table 97 North America: Market, by Professional Services, 2023-2028 (USD Million)
Table 98 North America: Market, by Deployment Mode, 2019-2022 (USD Million)
Table 99 North America: Market, by Deployment Mode, 2023-2028 (USD Million)
Table 100 North America: Market, by Cloud Type, 2019-2022 (USD Million)
Table 101 North America: Market, by Cloud Type, 2023-2028 (USD Million)
Table 102 North America: Market, by Type, 2019-2022 (USD Million)
Table 103 North America: Market, by Type, 2023-2028 (USD Million)
Table 104 North America: Market, by Vertical, 2019-2022 (USD Million)
Table 105 North America: Market, by Vertical, 2023-2028 (USD Million)
Table 106 North America: Market, by Country, 2019-2022 (USD Million)
Table 107 North America: Market, by Country, 2023-2028 (USD Million)
10.2.3 US
10.2.3.1 Increased Emphasis on Data-Driven Decision-Making to Fuel Growth of Market
10.2.4 Canada
10.2.4.1 Rise in Need to Gain Valuable Insights to Enhance Operational Efficiency to Propel Market Growth
10.3 Europe
10.3.1 Europe: Market Drivers
10.3.2 Europe: Recession Impact
Table 108 Europe: Dataops Platform Market, by Offering, 2019-2022 (USD Million)
Table 109 Europe: Market, by Offering, 2023-2028 (USD Million)
Table 110 Europe: Market, by Services, 2019-2022 (USD Million)
Table 111 Europe: Market, by Services, 2023-2028 (USD Million)
Table 112 Europe: Market, by Professional Services, 2019-2022 (USD Million)
Table 113 Europe: Market, by Professional Services, 2023-2028 (USD Million)
Table 114 Europe: Market, by Deployment Mode, 2019-2022 (USD Million)
Table 115 Europe: Market, by Deployment Mode, 2023-2028 (USD Million)
Table 116 Europe: Market, by Cloud Type, 2019-2022 (USD Million)
Table 117 Europe: Market, by Cloud Type, 2023-2028 (USD Million)
Table 118 Europe: Market, by Type, 2019-2022 (USD Million)
Table 119 Europe: Market, by Type, 2023-2028 (USD Million)
Table 120 Europe: Market, by Vertical, 2019-2022 (USD Million)
Table 121 Europe: Market, by Vertical, 2023-2028 (USD Million)
Table 122 Europe: Market, by Country, 2019-2022 (USD Million)
Table 123 Europe: Market, by Country, 2023-2028 (USD Million)
10.3.3 UK
10.3.3.1 Rise in Volume of Data Generated in Companies Across Several Verticals to Spur Market Growth
10.3.4 Germany
10.3.4.1 Increased Need to Manage Data Effectively to Fuel Market Growth
10.3.5 France
10.3.5.1 Increased Application Across Several Business Verticals to Drive Market Growth
10.3.6 Italy
10.3.6.1 Presence of Supportive Business Ecosystem to Drive Market Growth
10.3.7 Spain
10.3.7.1 Rise in Investments in Technology and Favorable Government Policies to Propel Market Growth
10.3.8 Rest of Europe
10.3.8.1 Rise in Need to Analyze Large Volumes of Data Generated to Spur Market Growth
10.4 Asia-Pacific
10.4.1 Asia-Pacific: Market Drivers
10.4.2 Asia-Pacific: Impact of Recession
Figure 39 Asia-Pacific: Market Snapshot
Table 124 Asia-Pacific: Dataops Platform Market, by Offering, 2019-2022 (USD Million)
Table 125 Asia-Pacific: Market, by Offering, 2023-2028 (USD Million)
Table 126 Asia-Pacific: Market, by Services, 2019-2022 (USD Million)
Table 127 Asia-Pacific: Market, by Services, 2023-2028 (USD Million)
Table 128 Asia-Pacific: Market, by Professional Services, 2019-2022 (USD Million)
Table 129 Asia-Pacific: Market, by Professional Services, 2023-2028 (USD Million)
Table 130 Asia-Pacific: Market, by Deployment Mode, 2019-2022 (USD Million)
Table 131 Asia-Pacific: Market, by Deployment Mode, 2023-2028 (USD Million)
Table 132 Asia-Pacific: Market, by Cloud Type, 2019-2022 (USD Million)
Table 133 Asia-Pacific: Market, by Cloud Type, 2023-2028 (USD Million)
Table 134 Asia-Pacific: Market, by Type, 2019-2022 (USD Million)
Table 135 Asia-Pacific: Market, by Type, 2023-2028 (USD Million)
Table 136 Asia-Pacific: Market, by Vertical, 2019-2022 (USD Million)
Table 137 Asia-Pacific: Market, by Vertical, 2023-2028 (USD Million)
Table 138 Asia-Pacific: Market, by Country, 2019-2022 (USD Million)
Table 139 Asia-Pacific: Market, by Country, 2023-2028 (USD Million)
10.4.3 India
10.4.3.1 Rise in Adoption of Advanced Technologies for Automated Approach to Data Management to Fuel Market Growth
10.4.4 Japan
10.4.4.1 Increased Demand to Improve Efficiency and Agility of Data Operations to Propel Market Growth
10.4.5 China
10.4.5.1 Increased Willingness to Foster Technological Developments and Provide Policy Support to Propel Market Growth
10.4.6 Australia and New Zealand
10.4.6.1 Rise in Need to Gain Competitive Advantage Through Data-Driven Insights to Propel Market Growth
10.4.7 South Korea
10.4.7.1 Increased Focus on Innovation and Adoption of Advanced Technologies to Drive Market Growth
10.4.8 Asean
10.4.8.1 Increased Use in Automating Data Analytics Processes to Speed Up Decision-Making Process to Propel Market Growth
10.4.9 Rest of Asia-Pacific
10.4.9.1 Rise in Competition from Global Players to Drive Market Growth
10.5 Middle East & Africa
10.5.1 Middle East & Africa: Market Drivers
10.5.2 Middle East & Africa: Impact of Recession
Table 140 Middle East & Africa: Dataops Platform Market, by Offering, 2019-2022 (USD Million)
Table 141 Middle East & Africa: Market, by Offering, 2023-2028 (USD Million)
Table 142 Middle East & Africa: Market, by Services, 2019-2022 (USD Million)
Table 143 Middle East & Africa: Market, by Services, 2023-2028 (USD Million)
Table 144 Middle East & Africa: Market, by Professional Services, 2019-2022 (USD Million)
Table 145 Middle East & Africa: Market, by Professional Services, 2023-2028 (USD Million)
Table 146 Middle East & Africa: Market, by Deployment Mode, 2019-2022 (USD Million)
Table 147 Middle East & Africa: Market, by Deployment Mode, 2023-2028 (USD Million)
Table 148 Middle East & Africa: Market, by Cloud Type, 2019-2022 (USD Million)
Table 149 Middle East & Africa: Market, by Cloud Type, 2023-2028 (USD Million)
Table 150 Middle East & Africa: Market, by Type, 2019-2022 (USD Million)
Table 151 Middle East & Africa: Market, by Type, 2023-2028 (USD Million)
Table 152 Middle East & Africa: Market, by Vertical, 2019-2022 (USD Million)
Table 153 Middle East & Africa: Market, by Vertical, 2023-2028 (USD Million)
Table 154 Middle East & Africa: Market, by Country, 2019-2022 (USD Million)
Table 155 Middle East & Africa: Market, by Country, 2023-2028 (USD Million)
10.5.3 Saudi Arabia
10.5.3.1 Initiatives Taken by Government to Support Digital Technologies to Propel Market Growth
10.5.4 UAE
10.5.4.1 Rise in Awareness of Advanced Data Analytics Capabilities to Drive Adoption
10.5.5 South Africa
10.5.5.1 Rise in Demand for Data Assets to Gain Competitive Advantage to Boost Adoption
10.5.6 Israel
10.5.6.1 Extracting Valuable Insights from Extensive Data Sets to Drive Adoption
10.5.7 Rest of Middle East & Africa
10.5.7.1 Increased Investments in Infrastructure to Support Digital Transformation and Support Market Growth
10.6 Latin America
10.6.1 Latin America: Market Drivers
10.6.2 Latin America: Impact of Recession
Table 156 Latin America: Dataops Platform Market, by Offering, 2019-2022 (USD Million)
Table 157 Latin America: Market, by Offering, 2023-2028 (USD Million)
Table 158 Latin America: Market, by Services, 2019-2022 (USD Million)
Table 159 Latin America: Market, by Services, 2023-2028 (USD Million)
Table 160 Latin America: Market, by Professional Services, 2019-2022 (USD Million)
Table 161 Latin America: Market, by Professional Services, 2023-2028 (USD Million)
Table 162 Latin America: Market, by Deployment Mode, 2019-2022 (USD Million)
Table 163 Latin America: Market, by Deployment Mode, 2023-2028 (USD Million)
Table 164 Latin America: Market, by Cloud Type, 2019-2022 (USD Million)
Table 165 Latin America: Market, by Cloud Type, 2023-2028 (USD Million)
Table 166 Latin America: Market, by Type, 2019-2022 (USD Million)
Table 167 Latin America: Market, by Type, 2023-2028 (USD Million)
Table 168 Latin America: Market, by Vertical, 2019-2022 (USD Million)
Table 169 Latin America: Market, by Vertical, 2023-2028 (USD Million)
Table 170 Latin America: Market, by Country, 2019-2022 (USD Million)
Table 171 Latin America: Market, by Country, 2023-2028 (USD Million)
10.6.3 Brazil
10.6.3.1 Rise in Need for Effective Data Management and Analysis to Drive Market
10.6.4 Mexico
10.6.4.1 Increased Demand for Real-Time Insights and Streamlined Workflows to Fuel Market Growth
10.6.5 Argentina
10.6.5.1 Rise in Need for Businesses to Manage and Analyze Data Effectively to Boost Market Growth
10.6.6 Rest of Latin America
10.6.6.1 Increased Adoption of Cutting-Edge Technologies to Stay Competitive in Market to Boost Demand

11.1 Overview
11.2 Strategies Adopted by Key Players
Table 172 Overview of Strategies Adopted by Key Dataops Platform Vendors
11.3 Revenue Analysis
11.3.1 Historical Revenue Analysis
Figure 40 Historical Revenue Analysis of Top Players, 2020-2022 (USD Million)
11.4 Market Share Analysis
Figure 41 Dataops Platform Market Share Analysis for Key Companies, 2022
Table 173 Market: Degree of Competition
11.5 Company Evaluation Quadrant
11.5.1 Stars
11.5.2 Emerging Leaders
11.5.3 Pervasive Players
11.5.4 Participants
Figure 42 Key Market Players, Company Evaluation Quadrant, 2022
11.5.5 Competitive Benchmarking
Table 174 Dataops Platform Market: Product Footprint Analysis of Key Players, 2022
11.6 Startups/SMEs Evaluation Quadrant
11.6.1 Progressive Companies
11.6.2 Responsive Companies
11.6.3 Dynamic Companies
11.6.4 Starting Blocks
Figure 43 Startups/SMEs Dataops Platform Players, Company Evaluation Quadrant, 2022
11.6.5 Startups/SMEs Competitive Benchmarking
Table 175 Market: Detailed List of Key Startups/SMEs
Table 176 Dataops Platform Market: Product Footprint Analysis of Startups/SMEs, 2023
11.7 Dataops Platform Product Landscape
Table 177 Comparative Analysis of Data Integration Products
Table 178 Comparative Analysis of Data Preparation Products
Table 179 Comparative Analysis of Data Catalog Products
11.8 Competitive Scenario and Trends
11.8.1 Product Launches and Enhancements
Table 180 Service/Product Launches and Enhancements, 2019-2023
11.8.2 Deals
Table 181 Deals, 2019-2023
11.9 Valuation and Financial Metrics of Key Dataops Platform Vendors
Figure 44 Valuation and Financial Metrics of Key Dataops Platform Vendors
11.10 Year To-Date (Ytd) Price Total Return and Stock Beta of Key Dataops Platform Vendors
Figure 45 Ytd Price Total Return and Stock Beta of Key Dataops Platform Vendors

12.1 Introduction
12.2 Major Players
(Business Overview, Products/Solutions/Services Offered, Recent Developments, Analyst's View)*
12.2.1 IBM
Table 182 IBM: Business Overview
Figure 46 IBM: Company Snapshot
Table 183 IBM: Products/Solutions/Services Offered
Table 184 IBM: Product Launches and Enhancements
Table 185 IBM: Deals
12.2.2 Microsoft
Table 186 Microsoft: Business Overview
Figure 47 Microsoft: Company Snapshot
Table 187 Microsoft: Products/Solutions/Services Offered
Table 188 Microsoft: Product Launches and Enhancements
Table 189 Microsoft: Deals
12.2.3 Oracle
Table 190 Oracle: Business Overview
Figure 48 Oracle: Company Snapshot
Table 191 Oracle: Products/Solutions/Services Offered
Table 192 Oracle: Deals
12.2.4 Aws
Table 193 Aws: Business Overview
Figure 49 Aws: Company Snapshot
Table 194 Aws: Products/Solutions/Services Offered
Table 195 Aws: Product Launches and Enhancements
Table 196 Aws: Deals
12.2.5 Informatica
Table 197 Informatica: Business Overview
Figure 50 Informatica: Company Snapshot
Table 198 Informatica: Products/Solutions/Services Offered
Table 199 Informatica: Product Launches and Enhancements
Table 200 Informatica: Deals
Table 201 Informatica: Others
12.2.6 Teradata
Table 202 Teradata: Business Overview
Figure 51 Teradata: Company Snapshot
Table 203 Teradata: Products/Solutions/Services Offered
Table 204 Teradata: Product Launches and Enhancements
Table 205 Teradata: Deals
Table 206 Teradata: Others
12.2.7 Wipro
Table 207 Wipro: Business Overview
Figure 52 Wipro: Company Snapshot
Table 208 Wipro: Products/Solutions/Services Offered
Table 209 Wipro: Product Launches and Enhancements
Table 210 Wipro: Deals
12.2.8 Accenture
Table 211 Accenture: Business Overview
Figure 53 Accenture: Company Snapshot
Table 212 Accenture: Products/Solutions/Services Offered
Table 213 Accenture: Product Launches and Enhancements
Table 214 Accenture: Deals
12.2.9 Sas Institute
Table 215 Sas Institute: Business Overview
Table 216 Sas Institute: Products/Solutions/Services Offered
Table 217 Sas Institute: Product Launches and Enhancements
Table 218 Sas Institute: Deals
12.2.10 Hitachi Vantara
Table 219 Hitachi Vantara: Business Overview
Table 220 Hitachi Vantara: Products/Solutions/Services Offered
Table 221 Hitachi Vantara: Product Launches and Enhancements
Table 222 Hitachi Vantara: Deals
12.2.11 Datakitchen
Table 223 Datakitchen: Business Overview
Table 224 Datakitchen: Products/Solutions/Services Offered
Table 225 Datakitchen: Product Launches and Enhancements
12.2.12 Atlan
Table 226 Atlan: Business Overview
Table 227 Atlan: Products/Solutions/Services Offered
Table 228 Atlan: Deals
12.2.13 Dataiku
Table 229 Dataiku: Business Overview
Table 230 Dataiku: Products/Solution/Services Offered
Table 231 Dataiku: Product Launches and Enhancements
Table 232 Dataiku: Deals
Table 233 Dataiku: Others
12.2.14 Fosfor
Table 234 Fosfor: Business Overview
Table 235 Fosfor: Products/Solutions/Services Offered
Table 236 Fosfor: Deals
12.2.15 Databricks
Table 237 Databricks: Business Overview
Table 238 Databricks: Products/Solutions/Services Offered
Table 239 Databricks: Product Launches and Enhancements
Table 240 Databricks: Deals
Table 241 Databricks: Others
12.3 Other Players
12.3.1 Bmc Software
Table 242 Bmc Software: Business Overview
Table 243 Bmc Software: Products/Solutions/Services Offered
Table 244 Bmc Software: Product Launches and Enhancements
Table 245 Bmc Software: Deals
12.3.2 Streamsets
Table 246 Streamsets: Business Overview
Table 247 Streamsets: Products/Solutions/Services Offered
Table 248 Streamsets: Product Launches and Enhancements
Table 249 Streamsets: Deals
12.3.3 Talend
Table 250 Talend: Business Overview
Table 251 Talend: Products/Solutions/Services Offered
Table 252 Talend: Product Launches and Enhancements
Table 253 Talend: Deals
12.3.4 Collibra
Table 254 Collibra: Business Overview
Table 255 Collibra: Products/Solutions/Services Offered
Table 256 Collibra: Product Launches
Table 257 Collibra: Deals
Table 258 Collibra: Others
12.3.5 Celonis
12.3.6 Saagie
12.3.7 Composable Analytics
12.3.8 Tengu.Io
12.3.9 Unravel Data
12.3.10 Monte Carlo Data
12.3.11 Census
12.3.12 Rightdata
12.3.13 Zaloni
12.3.14 Datafold
12.3.15 Dataops.Live
12.3.16 K2View
*Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, Analyst's View Might Not be Captured in Case of Unlisted Companies.

13.1 Introduction
13.2 Advanced Analytics Market - Global Forecast to 2026
13.2.1 Market Definition
13.2.2 Market Overview
13.2.3 Advanced Analytics Market, by Component
Table 259 Advanced Analytics Market Size, by Component, 2016-2020 (USD Million)
Table 260 Advanced Analytics Market Size, by Component, 2021-2026 (USD Million)
13.2.4 Advanced Analytics Market, by Business Function
Table 261 Advanced Analytics Market Size, by Business Function, 2016-2020 (USD Million)
Table 262 Advanced Analytics Market Size, by Business Function, 2021-2026 (USD Million)
13.2.5 Advanced Analytics Market, by Type
Table 263 Advanced Analytics Market Size, by Type, 2016-2020 (USD Million)
Table 264 Advanced Analytics Market Size, by Type, 2021-2026 (USD Million)
13.2.6 Advanced Analytics Market, by Deployment Mode
Table 265 Advanced Analytics Market Size, by Deployment Mode, 2016-2020 (USD Million)
Table 266 Advanced Analytics Market Size, by Deployment Mode, 2021-2026 (USD Million)
13.2.7 Advanced Analytics Market, by Organization Size
Table 267 Advanced Analytics Market Size, by Organization Size, 2016-2020 (USD Million)
Table 268 Advanced Analytics Market Size, by Organization Size, 2021-2026 (USD Million)
13.2.8 Advanced Analytics Market, by Vertical
Table 269 Advanced Analytics Market Size, by Vertical, 2016-2020 (USD Million)
Table 270 Advanced Analytics Market Size, by Vertical, 2021-2026 (USD Million)
13.2.9 Advanced Analytics Market, by Region
Table 271 Advanced Analytics Market Size, by Region, 2016-2020 (USD Million)
Table 272 Advanced Analytics Market Size, by Region, 2021-2026 (USD Million)
13.3 Data Catalog Market - Global Forecast to 2027
13.3.1 Market Definition
13.3.2 Market Overview
13.3.3 Data Catalog Market, by Component
Table 273 Data Catalog Market, by Component, 2017-2021 (USD Million)
Table 274 Data Catalog Market, by Component, 2022-2027 (USD Million)
13.3.4 Data Catalog Market, by Service
Table 275 Services: Data Catalog Market, by Type, 2017-2021 (USD Million)
Table 276 Services: Data Catalog Market, by Type, 2022-2027 (USD Million)
13.3.5 Data Catalog Market, by Deployment Mode
Table 277 Data Catalog Market, by Deployment Mode, 2017-2021 (USD Million)
Table 278 Data Catalog Market, by Deployment Mode, 2022-2027 (USD Million)
13.3.6 Data Catalog Market, by Data Consumer
Table 279 Data Catalog Market, by Data Consumer, 2017-2021 (USD Million)
Table 280 Data Catalog Market, by Data Consumer, 2022-2027 (USD Million)
13.3.7 Data Catalog Market, by Metadata Type
Table 281 Data Catalog Market, by Metadata Type, 2017-2021 (USD Million)
Table 282 Data Catalog Market, by Metadata Type, 2022-2027 (USD Million)
13.3.8 Data Catalog Market, by Organization Size
Table 283 Data Catalog Market, by Organization Size, 2017-2021 (USD Million)
Table 284 Data Catalog Market, by Organization Size, 2022-2027 (USD Million)
13.3.9 Data Catalog Market, by Vertical
Table 285 Data Catalog Market, by Vertical, 2017-2021 (USD Million)
Table 286 Data Catalog Market, by Vertical, 2022-2027 (USD Million)
13.3.10 Data Catalog Market, by Region
Table 287 Data Catalog Market, by Region, 2017-2021 (USD Million)
Table 288 Data Catalog Market, by Region, 2022-2027 (USD Million)

14.1 Discussion Guide