DataOps Platform Market

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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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Report Code: TC 8653 May, 2023, by marketsandmarkets.com

DataOps Platform Market - Analysis, Industry Size & Forecast

The global DataOps platform market size was valued at USD 3.9 billion in 2023 and is expected to grow at a CAGR of 23.0% from 2023 to 2028. The revenue forecast for 2028 is projected to reach $10.9 billion. The base year for estimation is 2022, and the historical data spans from 2023 to 2028.

DataOps is a holistic approach to data management that goes beyond technology and aims to combine agile methodologies, automation, and collaboration across data professionals to improve the quality, speed, and business value of data-related activities. DataOps platform is a transformational shift from traditional DevOps that aims to enhance communication, integration, and automation of data flow between data providers and data consumers.

Technology Roadmap of DataOps Platform till 2030

DataOps platform market report covers technology roadmap till 2030, with insights around short-term, mid-term, and long-term developments.

Short-term roadmap (2023-2025)

  • An increase in the adoption of DataOps platforms is expected across diverse industries and verticals.
  • As more organizations migrate their data operations to the cloud, DataOps platforms are expected to incorporate cloud-native solutions.
  • Automation and AI/ML will be the key focus areas for DataOps platform capabilities.

Mid-term roadmap (2026-2028)

  • As organizations increasingly rely on real-time data for decision-making, DataOps platforms are expected to offer efficient real-time data processing and analytics.
  • Emphasis on developing DataOps platform with automated data privacy and security management functionalities.

Long-term roadmap (2029-2030)

  • As AI becomes prevalent across industries, AI governance will form a key enabler of DataOps platform adoption.
  • With the rise of metaverse, the deployment of DataOps platform will enable efficient data processing and management in virtual environments.

DataOps Platform Market

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DataOps Platform Market

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Market Dynamics

Driver: Increased data complexity and accelerating data volumes

Organizations are dealing with ever-increasing data complexity, including large volumes of data from diverse sources, structured and unstructured data formats, and real-time data streams. Traditional data management approaches often struggle to keep up with the scale, velocity, and diversity of data, leading to inefficiencies, errors, and delays in data processing and analysis. DataOps platforms offer the necessary tools and technologies to handle this complexity and enable organizations to integrate, process, and analyse data efficiently. DataOps platforms can support batch processing as well as real-time data streaming data. These platforms are often integrated with big data technologies and cloud-based infrastructure to handle large-scale data processing. The volume of data being generated is growing exponentially, with the proliferation of digital technologies, IoT devices, social media, and other data sources. DataOps platforms provide scalable infrastructure and distributed computing capabilities that can handle massive data volumes and ensure optimal performance. Hence, organizations are turning to DataOps to gain better control over their data, improve data quality and governance, and enhance the efficiency and agility of their data operations.

Restraint: Data privacy and security concerns

Organizations are increasingly aware of the importance of protecting sensitive data and complying with data privacy regulations. DataOps platforms deal with sensitive and confidential data. Ensuring data privacy and compliance with regulations (such as GDPR or CCPA) and maintaining strong security measures can be a significant challenge. Organizations need to address these concerns and implement robust security frameworks. DataOps platforms rely on the integration of various tools and systems, which can increase the attack surface and potential vulnerabilities. Organizations may worry about the risk of data breaches and the potential impact on data privacy if the DataOps platform is not adequately secured.

Opportunity: Need to bridge gap between data engineers and data analysts

DataOps emerged also as a way to bridge the gap between data engineers and data analysts, who have different priorities and objectives. DataOps platforms foster collaboration and cross-functional alignment among different teams, including data engineers, data scientists, business analysts, and IT operations involved in data operations. DataOps platforms enable seamless collaboration, knowledge sharing, and consistent practices across teams, leading to improved productivity and outcomes by providing shared tools and workflows. Furthermore, DataOps platforms break down barriers between teams, encourage knowledge sharing, and enhance the overall effectiveness and efficiency of data operations by fostering collaboration and cross-functional alignment. This collaborative environment enables organizations to harness the collective expertise of their teams, drive innovation, and deliver high-quality data-driven insights.

Challenge: Need to mitigate the challenges of skilled talent shortage

 One of the main challenges faced in the DataOps platform market is the scarcity of highly skilled professionals. DataOps platforms require individuals with extensive knowledge in data engineering, data science, software development, and operations. However, the industry is currently experiencing a significant shortage of professionals with these specific skills, resulting in a talent gap. Consequently, organizations are encountering difficulties in finding suitable candidates to build, implement, and sustain DataOps platforms. This shortage of skilled talent is further exacerbated by the rapid pace of technological advancements. Existing team members may need additional training or retraining to adapt to the DataOps approach. Additionally, the lack of skilled talent is not limited to data scientists and machine learning engineers alone. DataOps platforms also require individuals specializing in areas such as data management, data visualization, and cloud computing. It is essential for organizations to address these skill gaps through initiatives that encompass training, recruitment, and knowledge sharing. These efforts are crucial for ensuring the successful adoption and implementation of DataOps platforms.

By offering, platform segment to account for the largest market size during the forecast period

Based on offerings DataOps platform market has been segmented into platform and services. DataOps platform and services are designed to streamline data management and analysis processes, allowing organizations to make more informed decisions and improve operational efficiency period. The platform segment is estimated to account for a larger market size during the forecast period. The increasing amount of data organizations need to manage, process, and analyze offers key lucrative opportunities to the DataOps platform market.

By deployment, cloud to account for the largest market size during the forecast period

The DataOps platform market has been segmented based on deployment mode into cloud and on-premises. In the DataOps platform market, deployment mode plays a significant role in setting up the required IT infrastructure for managing the IT ecosystem. It can either be on-premises or in the cloud, depending on the specific needs of a business. The ability to have greater control over data location and accessibility across a network is driving the adoption of cloud deployment mode in the DataOps platform market.

By type, agile development segment to account for the largest market size during the forecast period

The DataOps platform market has been segmented based on type into Agile Development, DevOps, Lean Manufacturing. DataOps combines Agile development, DevOps, and lean manufacturing principles to streamline the development and operation of data analytics. Agile development is a core principle of the DataOps platform, which emphasizes the importance of flexibility and rapid response to changing business needs. The need to adapt quickly changing requirements and market conditions drives the demand for agile development in DataOps platform.

North America to account for the largest market size during the forecast period

North America has emerged as a frontrunner in adopting DataOps platforms, driven by its flourishing technology industry and a steadfast commitment to innovation and digital transformation. The region encompasses major countries such as the United States and Canada, with the United States leading the adoption of DataOps due to the presence of numerous world-renowned technology companies. The key driver behind the widespread adoption of DataOps platforms in North America lies in the region's unwavering emphasis on innovation and digital transformation. North American businesses are continuously seeking novel approaches to foster innovation and gain a competitive edge, recognizing the potent capabilities of DataOps platforms in managing and analyzing data to extract insights that drive growth and spur innovation. Additionally, the thriving technology industry in North America plays a pivotal role in propelling the adoption of DataOps platforms. With many global technology giants headquartered in the region, substantial investments are being made in data infrastructure and analytics capabilities, reinforcing the momentum of DataOps platforms, and enabling businesses to effectively harness the power of data.

DataOps Platform Market Size, and Share

Key Market Players

Key players operating in the DataOps platform market across the globe are 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), and K2view (Israel). These DataOps platform vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global market.

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Scope of the Report

Report Metrics

Details

Market size available for years

2019–2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

USD Billion

Segments covered

Offering, Type, Deployment Mode, Vertical, and Region

Geographies covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

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).

This research report categorizes the DataOps platform market based on offering, type, deployment mode, vertical, and region.

By Component:
  • Platform
    • Data Integration
    • Data Quality
    • Data Governance
    • Master Data Management
    • Data Analytics
    • Automation
    • Collaboration
    • Data Visualization
    • Others
  • Services
    • Consulting Services
    • Deployment & integration
    • Training, support & maintenance services
By Type:
  • Agile Development
  • DevOps
  • Lean Manufacturing
By Deployment Mode:
  • Cloud
    • Public
    • Private
    • Hybrid
  • On-premises
By Vertical:
  • BFSI
  • Healthcare & life sciences
  • Retail & eCommerce
  • Manufacturing
  • Government and Defense
  • Telecommunications
  • Transportation, and Logistics
  • IT & ITeS
  • Media and Entertainment
  • Other Verticals
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • ASEAN
    • Australia and New Zealand
    • India
    • South Korea
    • Rest of Asia Pacific
  • Middle East & Africa
    • UAE
    • Saudi Arabia
    • Israel
    • South Africa
    • Rest of the Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America

Recent Developments:

  • In April 2023, DataOps.live partnered with AWS and joined the AWS Partner Network on the Software Path and obtained the AWS Qualified Software Certification after successfully completing the AWS Foundational Technical Review.
  • In March 2023, Blechwarenfabrik Limburg GmbH collaborated with Hitachi Vantara and adopted its Lumada DataOps Platform which includes Pentaho, to achieve real-time, standardized, integrated data analysis for increased sustainability and accelerated production.
  • In February 2023, Informatica announced the launch of Cloud Data Integration-Free and PayGo, which is the only free cloud data loading, integration, and ETL/ELT service. This new service targets data practitioners and non-technical users such as in marketing, sales, and revenue operations teams to build data pipelines within minutes.
  • In November 2022, Wipro had announced the launch of Data Intelligence Suite speeding up the cloud modernization and data monetization, focused on modernizing data estates, including data stores, pipelines, and visualizations, running on Amazon Web Services. It also provides a dependable and safe way to migrate from existing platforms and fragmented legacy systems to the cloud.
  • In June 2022, Teradata announced the general availability and integration of the Teradata Vantage multi-cloud data and analytics platform with Amazon SageMaker. It enables organizations to widely employ advanced analytics to fully leverage their data.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 43)
    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 RESEARCH METHODOLOGY (Page No. - 48)
    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 GLOBAL MARKET 
           TABLE 4 IMPACT OF RECESSION ON THE GLOBAL MARKET
 
3 EXECUTIVE SUMMARY (Page No. - 62)
    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 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 PREMIUM INSIGHTS (Page No. - 67)
    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 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 69)
    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 ECOMMERCE
                    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 DATAOPS PLATFORM MARKET, BY OFFERING (Page No. - 113)
    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 DATAOPS PLATFORM MARKET, BY TYPE (Page No. - 127)
    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 DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE (Page No. - 133)
    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 DATAOPS PLATFORM MARKET, BY VERTICAL (Page No. - 141)
    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 DATAOPS PLATFORM MARKET, BY REGION (Page No. - 171)
     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 COMPETITIVE LANDSCAPE (Page No. - 217)
     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 COMPANY PROFILES (Page No. - 237)
     12.1 INTRODUCTION 
     12.2 MAJOR PLAYERS 
(Business Overview, Products/Solutions/Services offered, Recent Developments, MnM 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, MnM View might not be captured in case of unlisted companies.
 
13 ADJACENT AND RELATED MARKETS (Page No. - 312)
     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 APPENDIX (Page No. - 327)
     14.1 DISCUSSION GUIDE 
     14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     14.3 CUSTOMIZATIONS OPTIONS 
     14.4 RELATED REPORTS 
     14.5 AUTHOR DETAILS 

The research study for the DataOps platform market involved the use of extensive secondary sources and directories, as well as various reputed open-source databases, to identify and collect information useful for this technical and market-oriented study. In-depth interviews were conducted with various primary respondents, including key opinion leaders, subject matter experts, high-level executives of multiple companies offering the DataOps platform, and industry consultants to obtain and verify critical qualitative and quantitative information, as well as assess the market prospects and industry trends.

Secondary Research

In the secondary research process, various secondary sources were referred to, to identify and collect information for the study. The secondary sources included annual reports, press releases, and investor presentations of companies, and white papers, certified publications, and articles from recognized associations and government publishing sources. The secondary research was mainly used to obtain the key information about the industry’s value chain, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides of the DataOps platform market ecosystem were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply side included industry experts, such as chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various vendors providing DataOps platform offerings, associated service provider, and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

DataOps Platform Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Top-down and bottom-up approaches were used for conducting market estimation and forecasting the DataOps platform market and the other dependent submarkets. The bottom-up procedure was used to arrive at the overall market size of the global DataOps platform market, using the revenue of the key companies from their offerings in the market. With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using this study. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segments.

In the top-down approach, an exhaustive list of all the vendors offering DataOps platform was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. The offerings of each of these vendors were evaluated based on the breadth of solution and service offerings, cloud type, organization size, and verticals. The aggregate of all the revenues of the companies was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

In the bottom-up approach, the adoption rate of the DataOps platform and services among different end-users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of DataOps platform and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

All the possible parameters that affect the market covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.

  • The pricing trend is assumed to vary over time.
  • All the forecasts are made with the standard assumption that the accepted currency is USD.
  • For the conversion of various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service’s website is used.
  • All the forecasts are made under the standard assumption that the globally accepted currency, USD, remains constant during the next five years.
  • Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors.
  • Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on DataOps platform based on some of the key use cases. These factors for the DataOps platform industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

DataOps platforms act as command centers for DataOps. These solutions orchestrate people, processes, and technology to deliver a trusted data pipeline to their users. DataOps platforms assemble several types of data management software into an individual and integrated environment.

According to StreamSets, DataOps is a set of practices and technologies that operationalize data management and integration to ensure resiliency and agility in the face of constant change. It helps you tease order and discipline out of the chaos and solve the big challenges to turning data into business value.

Key Stakeholders

  • DataOps service providers
  • Managed service providers 
  • Support and maintenance service providers
  • System integrators (SIs)/Migration service providers
  • Value-added resellers (VARs) and distributors
  • Independent software vendors (ISVs)
  • Third-party providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the DataOps platform market, by offering (platform   and services), type, deployment mode, organization size, vertical, and region
  • To provide detailed information related to major factors, such as drivers, restraints, opportunities, and industry-specific challenges influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, the Middle East and Africa, and Latin America
  • To profile the key players and comprehensively analyze their market ranking and core competencies
  • To analyze competitive developments, such as partnerships, product launches, and mergers and acquisitions, in the market
  • To analyze the impact of recession on the DataOps platform market across all the regions

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis

  • Further breakup of the North American market for DataOps platform market
  • Further breakup of the European market for market
  • Further breakup of the Asia Pacific market for market
  • Further breakup of the Latin American market for market
  • Further breakup of the Middle East & Africa market for DataOps platform market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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Report Code
TC 8653
Published ON
May, 2023
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