AI Data Management Market

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AI Data Management Market by Offering (Platform, Software tools, and Services), Data Type, Technology (ML, NLP, Computer Vision, Context Awareness), Application (Process Automation, Data Augmentation), Vertical and Region - Global Forecast to 2028

FREE BROCHURE FREE SAMPLE REPORT
Report Code: TC 8905 Jan, 2024, by marketsandmarkets.com

[423 Pages Report] The global market for AI data management market is projected to grow from USD 25.1 billion in 2023 to USD 70.2 billion by 2028, at a CAGR of 22.8% during the forecast period. The advent and widespread adoption of cloud computing have redefined the way organizations store, process, and access data. Cloud technologies provide a scalable and flexible foundation, enabling businesses to efficiently manage their ever-growing volumes of data without the constraints of traditional on-premises infrastructure. The shift towards cloud-based platforms is instrumental in driving the demand for AI data management solutions.

AI Data Management Market

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AI Data Management Market

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Market Dynamics

Driver: Rapid advancements in AI and ML to propel the adoption of transformative data management solutions

The rapid advancements in AI and machine learning (ML) are serving as significant market drivers, propelling the widespread adoption of AI data management solutions. As AI and ML technologies continue to evolve, their capabilities are becoming increasingly sophisticated, offering businesses powerful tools to derive meaningful insights from the growing volumes of data they generate and accumulate. The integration of AI and ML into data management processes is seen as a transformative force, addressing the complexities associated with data handling, analysis, and decision-making. One key aspect driving this trend is the ability of AI and ML algorithms to automate and optimize data management tasks. These technologies excel at processing and analyzing large datasets at speeds beyond human capacity, leading to enhanced efficiency in tasks such as data integration, cleansing, and classification. Automated data management, powered by AI, not only reduces the burden of manual efforts but also significantly minimizes the risk of errors, ensuring the accuracy and reliability of data-driven insights.

Restraint: Issues related to data availability and quality

The success of AI applications relies heavily on the availability of high-quality data, and any shortcomings in this regard can impede the performance and reliability of AI-driven processes. One major hurdle is the scarcity of relevant and comprehensive datasets needed to train machine learning models. The training phase is crucial for AI algorithms to learn patterns, recognize correlations, and make accurate predictions. If organizations encounter difficulties in sourcing diverse and representative datasets, it can lead to biased models, limiting the generalizability and fairness of AI applications. Cleaning and preparing datasets for AI applications can be a resource-intensive process, and the lack of standardized practices across different data sources can exacerbate these challenges. Inconsistent data quality not only hinders the performance of AI models but also affects the trustworthiness of the insights derived from them. Additionally, organizations may face issues related to data silos, where relevant information is fragmented across different departments or systems. Integration challenges arise when attempting to unify these disparate datasets, impacting the efficiency of AI data management systems.

Opportunity: Personalized and adaptive systems to emerge as a significant opportunity

AI technologies empower organizations to analyze vast amounts of data, allowing for the creation of personalized experiences tailored to each user's preferences, behaviors, and past interactions. By leveraging machine learning algorithms, businesses can develop adaptive systems that continuously learn from user feedback and data inputs, refining and customizing experiences in real time. These systems hold immense potential across various industries. In e-commerce, for instance, AI-powered recommendation engines analyze customer browsing history and purchase patterns to offer personalized product suggestions, enhancing user engagement, and driving sales. Similarly, in healthcare, adaptive systems can utilize patient data to provide personalized treatment plans or health recommendations, improving patient outcomes. Through continual analysis of user interactions, AI algorithms can dynamically adjust content, services, or recommendations, ensuring relevance and enhancing user satisfaction. This adaptability fosters stronger customer relationships, as users perceive these systems as more responsive and attentive to their individual needs.

Challenge: Limitations in transferability pose challenges for AI data management adaptation to diverse data types

Training AI models on large and diverse datasets to enhance data quality presents a significant challenge in the AI data management market. While vast datasets are crucial for improving the accuracy and robustness of AI algorithms, accessing and processing these expansive and diverse data pools can pose formidable obstacles. Acquiring and curating such large datasets often requires substantial resources, including storage capacity, computational power, and data processing capabilities. Additionally, ensuring the diversity and representativeness of these datasets is critical to mitigate biases and enhance the model's generalizability. However, integrating diverse data sources, each with its own format, quality, and level of granularity, complicates the training process. The management and preprocessing of heterogeneous data sources demand sophisticated techniques to harmonize and standardize the information, often involving complex data cleaning, normalization, and feature engineering tasks.

AI data management Market Ecosystem

The AI data management market ecosystem is a dynamic landscape consisting of various key components, each playing a distinct role in advancing the field of AI data management. These components include AI data management platform providers, software providers, service providers, and regulatory bodies.

AI Data Management Market

By Vertical, BFSI segment accounts for the largest market size during the forecast period.

With the immense volume of financial transactions, customer data, and regulatory requirements, AI-powered data management solutions are employed to streamline operations, enhance customer experiences, mitigate risks, and drive strategic decision-making. AI algorithms analyze vast datasets to detect fraudulent activities, personalize customer services through predictive analytics, optimize investment strategies, and automate routine tasks such as loan approvals or insurance claims processing. Moreover, these solutions aid in compliance with stringent regulations by ensuring data accuracy, security, and privacy, navigating complex regulatory frameworks such as KYC (Know Your Customer) and AML (Anti-Money Laundering). The BFSI sector heavily relies on AI data management to foster innovation, improve operational efficiency, and maintain competitiveness in an increasingly digital and data-centric industry.

By Technology, context awareness segment is projected to grow at the highest CAGR during the forecast period.

Context awareness technology within AI data management involves systems that dynamically adapt their behavior based on situational context, enabling more nuanced and relevant decision-making. These systems leverage AI algorithms to analyze various contextual cues such as location, time, user behavior, and environmental data to infer meaning and adjust their responses or actions accordingly. In data management, context awareness enhances the interpretation and utilization of data by considering its relevance within specific contexts, thereby improving the accuracy of analysis and decision-making. This technology finds applications in diverse fields, from personalized user experiences in digital platforms to optimizing resource allocation in smart cities, by harnessing the power of contextual information to refine data management processes and outcomes.

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

The AI data management market in North America is a global powerhouse, characterized by the innovation and technological ability of both the US and Canada. The region's advanced technological infrastructure, coupled with a robust ecosystem of tech companies, research institutions, and investments, has fueled its dominance in this sector. The United States, in particular, with Silicon Valley as a prominent hub, has been a breeding ground for AI startups and tech giants pioneering cutting-edge solutions in data management. The market in North America thrives on a culture of innovation, strong R&D initiatives, and a business landscape that readily embraces AI-driven data management to enhance operations, decision-making, and overall efficiency across diverse industries.

AI Data Management Market Size, and Share

Key Market Players

The major AI data management and service providers include Microsoft (US), AWS (US), IBM (US), Google (US), Oracle (US), Salesforce (US), SAP (Germany), SAS Institute (US), HPE (US), Snowflake (US), Teradata (US), Informatica (US), Databricks (US), TIBCO Software (US), Qlik (US), Collibra (US), Dataiku (US), Alteryx (US), Datamatics Business Solutions (US), Accenture (Ireland), Ataccama (Canada), Reltio (US), Tamr (US), ThoughtSpot (US), AtScale (US), Alation (US), Clarifai (US), DDN Storage (US), Dataloop AI (US) Astera Software (US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the AI data management market.

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Scope of the Report

Report Metrics

Details

Market size available for years

2017–2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

USD Billion

Segments Covered

Offering by Type (Platform, Software tools & Services) Offering by Deployment mode (Cloud, On-premises), Data Type ( Audio, Speech & Voice, Image, Text, Video), Technology (ML, NLP, Computer Vision, Context Awareness), Application, Vertical, and Region.

Geographies covered

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

Companies covered

Microsoft (US), AWS (US), IBM (US), Google (US), Oracle (US), Salesforce (US), SAP (Germany), SAS Institute (US), HPE (US), Snowflake (US), Teradata (US), Informatica (US), Databricks (US), TIBCO Software (US), Qlik (US), Collibra (US), Dataiku (US), Alteryx (US), Datamatics Business Solutions (US), Accenture (Ireland), Ataccama (Canada), Reltio (US), Tamr (US), ThoughtSpot (US), AtScale (US), Alation (US), Clarifai (US), DDN Storage (US), Dataloop AI (US) Astera Software (US).

This research report categorizes the AI data management market based on offering by type (platform, software tools and services) offering by deployment mode, data type, technology, application, vertical, and region.

Offering:
  • By Type
    • Platform
    • Software tools
    • Services
  • By Deployment mode
    • Cloud
    • On-premises
By Data Type:
  • Audio
  • Speech and Voice
  • Image
  • Text
  • Video
By Technology:
  • Machine Learning
    • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Context Awareness
By Application:
  • Data Augmentation
  • Data Anonymization & Compression
  • Exploratory Data Analysis
  • Imputation Predictive Modeling
  • Data validation & Noise Reduction
  • Process Automation
  • Other Applications
By Vertical:
  • BFSI
  • Retail & eCommerce
  • Government & Defense
  • Healthcare & Life Sciences
  • Manufacturing
  • Energy & Utilities
  • Telecommunications
  • Media & Entertainment
  • IT & ITeS
  • Other Verticals (Travel & Hospitality, Education, Transportation & Logistics)
By Region:
  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Recent Developments:

  • In November 2023, AWS introduced a preview of an innovative Generative AI-based feature within Amazon DataZone. This capability aims to enhance data discovery, comprehension, and utilization by enriching the business data catalog.
  • In November 2023, Databricks acquired Arcion, a prominent provider specializing in real-time data replication technologies. By integrating Arcion's capabilities, Databricks aims to offer native solutions facilitating the seamless replication and ingestion of data from diverse databases and SaaS applications.
  • In September 2023, Oracle unveiled the Fusion Data Intelligence Platform, representing a cutting-edge data, analytics, and AI platform. This platform is tailored to assist Oracle Fusion Cloud Applications customers in achieving superior business outcomes by merging data-centric insights with intelligent decision-making and actionable steps.
  • In May 2023, Microsoft unveiled Microsoft Fabric, an analytics platform designed to streamline data and analytics tools for organizations. This integrated solution merges technologies such as Azure Data Factory, Azure Synapse Analytics, and Power BI into a unified product. Fabric empowers data and business professionals to harness the full potential of their data, setting the stage for the era of AI while simplifying data-related workflows.
  • In May 2023, Qlik acquired Talend, broadening its top-tier capabilities for modern enterprises to manage, process, trust, analyze, and act upon data. The synergies between Qlik and Talend solutions complement each other, strengthening various critical aspects including data quality, transformation, application connectivity, and API services.
  • In March 2023, SAP introduced strategic partnerships with leading data and AI companies, including Collibra NV, Confluent Inc., Databricks Inc., and DataRobot Inc. With these partnerships, SAP aims to empower millions of users worldwide to make informed, data-driven decisions crucial to their businesses, bridging various data sources like never before.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 32)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 INCLUSIONS AND EXCLUSIONS
           1.3.3 REGIONS COVERED
    1.4 YEARS CONSIDERED 
    1.5 CURRENCY CONSIDERED 
    1.6 STAKEHOLDERS 
 
2 RESEARCH METHODOLOGY (Page No. - 36)
    2.1 RESEARCH DATA 
           FIGURE 1 AI DATA MANAGEMENT MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 1 MARKET: PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key insights from industry experts
    2.2 DATA TRIANGULATION AND MARKET BREAKUP 
           FIGURE 2 MARKET: DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 3 AI DATA MANAGEMENT MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY SIDE): REVENUE FROM AI DATA MANAGEMENT/SERVICES
                    FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL AI DATA MANAGEMENT/SERVICE COMPANIES
                    FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 3, BOTTOM-UP (SUPPLY SIDE): REVENUES OF TOP PLAYERS AND SOURCES OF DATA
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 4, BOTTOM-UP (DEMAND SIDE): SHARE OF OVERALL AI DATA MANAGEMENT SPENDING
    2.4 MARKET FORECAST 
           TABLE 2 FACTOR ANALYSIS
    2.5 ASSUMPTIONS 
    2.6 LIMITATIONS 
    2.7 IMPACT OF RECESSION 
           TABLE 3 IMPACT OF RECESSION ON GLOBAL AI DATA MANAGEMENT MARKET
 
3 EXECUTIVE SUMMARY (Page No. - 49)
    TABLE 4 AI DATA MANAGEMENT MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y) 
    TABLE 5 MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y) 
    FIGURE 8 PLATFORM SEGMENT TO HOLD LARGEST MARKET DURING FORECAST PERIOD 
    FIGURE 9 DATA WAREHOUSING SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD 
    FIGURE 10 CLOUD DEPLOYMENT MODE TO ACCOUNT FOR LARGER MARKET SHARE DURING FORECAST PERIOD 
    FIGURE 11 DATA INTEGRATION & ETL SOFTWARE TOOLS SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD 
    FIGURE 12 CONSULTING SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD 
    FIGURE 13 IMAGE DATA SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD 
    FIGURE 14 MACHINE LEARNING TECHNOLOGY SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD 
    FIGURE 15 PROCESS AUTOMATION SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD 
    FIGURE 16 BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD 
    FIGURE 17 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 
 
4 PREMIUM INSIGHTS (Page No. - 56)
    4.1 ATTRACTIVE OPPORTUNITIES FOR KEY PLAYERS IN AI DATA MANAGEMENT MARKET 
           FIGURE 18 EXPONENTIAL GROWTH OF DIVERSE AND VOLUMINOUS DATASETS TO FUEL ACCURATE MODEL TRAINING AND ENHANCE ALGORITHMIC PERFORMANCE
    4.2 MARKET, BY APPLICATION 
           FIGURE 19 PROCESS AUTOMATION SEGMENT TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD
    4.3 MARKET, BY OFFERING & KEY VERTICAL 
           FIGURE 20 PLATFORM SEGMENT AND BFSI VERTICAL TO ACCOUNT FOR LARGEST SHARES IN 2023
    4.4 MARKET, BY REGION 
           FIGURE 21 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE IN 2023
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 58)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 22 AI DATA MANAGEMENT MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
           5.2.1 DRIVERS
                    5.2.1.1 Adoption of AI-powered data fabric solutions and automated integration
                    5.2.1.2 Emergence and widespread adoption of cloud computing and evolution in cloud technology
                    5.2.1.3 Rapid advancements in AI and ML and adoption of transformative data management solutions
           5.2.2 RESTRAINTS
                    5.2.2.1 Scarcity of relevant, comprehensive, and high-quality data
                    5.2.2.2 Susceptibility to biases and inaccuracies
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Automated data cleaning to revolutionize data preparation for better insights
                    5.2.3.2 Enhanced predictive analytics to empower businesses to anticipate future trends
                    5.2.3.3 Rise of personalized and adaptive systems
           5.2.4 CHALLENGES
                    5.2.4.1 Acquiring and curating large datasets leading to need for substantial resources
                    5.2.4.2 Lack of professional knowledge and scarcity of skilled AI experts
                    5.2.4.3 Limited access to specialized education and training programs tailored to AI data management
    5.3 AI DATA MANAGEMENT MARKET: ARCHITECTURE 
           FIGURE 23 ARCHITECTURE OF AI DATA MANAGEMENT SOLUTIONS
    5.4 MARKET: EVOLUTION 
           FIGURE 24 EVOLUTION OF AI DATA MANAGEMENT SOLUTIONS
    5.5 SUPPLY CHAIN ANALYSIS 
           FIGURE 25 MARKET: SUPPLY CHAIN ANALYSIS
    5.6 ECOSYSTEM/MARKET MAP 
           FIGURE 26 KEY PLAYERS IN MARKET ECOSYSTEM
           TABLE 6 MARKET: ECOSYSTEM
           5.6.1 PLATFORM PROVIDERS
           5.6.2 SOFTWARE PROVIDERS
           5.6.3 SERVICE PROVIDERS
           5.6.4 REGULATORY BODIES
    5.7 CASE STUDY ANALYSIS 
           5.7.1 CASE STUDY 1: TAMR’S HEALTHCARE PROVIDERS DATA PRODUCT UNIFIED VAST DATA SOURCES AND CREATED RELIABLE RECORDS FOR P360
           5.7.2 CASE STUDY 2: ALATION EMPOWERED AUSTRALIAN ENERGY COMPANY'S DIGITAL TRANSFORMATION THROUGH DATA GOVERNANCE AND CURATED INSIGHTS
           5.7.3 CASE STUDY 3: VIACOM18 DEPLOYED AZURE DATABRICKS TO ACCELERATE VIEWER PERSONALIZATION, BOOST PRODUCTIVITY, AND ENHANCE INSIGHTS
           5.7.4 CASE STUDY 4: CNP ASSURANCES DEPLOYED INFORMATICA MDM TO FACILITATE REAL-TIME AND BATCH-PROCESSING UPDATES TO MANAGE EVOLVING RISK PROFILES EFFECTIVELY
           5.7.5 CASE STUDY 5: COGNIWARE ADOPTED ARGOS PLATFORM INTEGRATED WITH IBM WATSONX.DATA TO STREAMLINE DATA COLLECTION PROCESS AND EMPOWER USERS TO VISUALIZE CONNECTIONS
    5.8 TARIFF AND REGULATORY LANDSCAPE 
           TABLE 7 TARIFF RELATED TO AI DATA MANAGEMENT SOFTWARE AS A SERVICE SOLUTIONS
           5.8.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 8 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 9 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 10 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 11 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 12 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.8.2 NORTH AMERICA
                    5.8.2.1 US
                    5.8.2.2 Canada
           5.8.3 EUROPE
           5.8.4 ASIA PACIFIC
                    5.8.4.1 South Korea
                    5.8.4.2 China
                    5.8.4.3 India
           5.8.5 MIDDLE EAST & AFRICA
                    5.8.5.1 UAE
                    5.8.5.2 KSA
                    5.8.5.3 Bahrain
           5.8.6 LATIN AMERICA
                    5.8.6.1 Brazil
                    5.8.6.2 Mexico
    5.9 PATENT ANALYSIS 
           5.9.1 METHODOLOGY
           5.9.2 PATENTS FILED, BY DOCUMENT TYPE
                    TABLE 13 PATENTS FILED, 2013–2023
           5.9.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 27 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2013–2023
                    5.9.3.1 Top 10 applicants in AI data management market
                               FIGURE 28 TOP APPLICANTS IN MARKET, 2013–2023
                               FIGURE 29 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023
                               TABLE 14 TOP 20 PATENT OWNERS IN MARKET, 2013–2023
                               TABLE 15 LIST OF PATENTS GRANTED IN MARKET, 2023
    5.10 TRADE ANALYSIS FOR AI DATA MANAGEMENT SOFTWARE 
           5.10.1 IMPORT SCENARIO OF COMPUTER SOFTWARE
                    FIGURE 30 COMPUTER SOFTWARE IMPORTS, BY KEY COUNTRY, 2015–2022 (USD BILLION)
           5.10.2 EXPORT SCENARIO OF COMPUTER SOFTWARE
                    FIGURE 31 COMPUTER SOFTWARE EXPORTS, BY KEY COUNTRY, 2015–2022 (USD BILLION)
    5.11 TECHNOLOGY ANALYSIS 
           5.11.1 AI DATA MANAGEMENT MARKET: TECHNOLOGY ANALYSIS
                    5.11.1.1 Key Technologies
                               5.11.1.1.1 ML
                               5.11.1.1.2 NLP
                               5.11.1.1.3 Computer Vision
                               5.11.1.1.4 Edge AI
                    5.11.1.2 Complementary Technologies
                               5.11.1.2.1 Big Data
                               5.11.1.2.2 Cloud Computing
                               5.11.1.2.3 5G
                               5.11.1.2.4 Predictive Analytics
                    5.11.1.3 Adjacent Technologies
                               5.11.1.3.1 IoT
                               5.11.1.3.2 Edge Computing
                               5.11.1.3.3 Blockchain
                               5.11.1.3.4 Digital Twins
    5.12 PRICING ANALYSIS 
           5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, TOP 3 SOFTWARE TOOLS
                    FIGURE 32 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, TOP 3 SOFTWARE TOOLS
           5.12.2 INDICATIVE PRICING ANALYSIS OF AI DATA MANAGEMENT, BY OFFERING
                    TABLE 16 INDICATIVE PRICING LEVELS OF AI DATA MANAGEMENT SOLUTIONS, BY OFFERING
    5.13 PORTER’S FIVE FORCES ANALYSIS 
                    FIGURE 33 AI DATA MANAGEMENT MARKET: PORTER’S FIVE FORCES ANALYSIS
                    TABLE 17 IMPACT OF PORTER’S FIVE FORCES ON MARKET
           5.13.1 THREAT OF NEW ENTRANTS
           5.13.2 THREAT OF SUBSTITUTES
           5.13.3 BARGAINING POWER OF SUPPLIERS
           5.13.4 BARGAINING POWER OF BUYERS
           5.13.5 INTENSITY OF COMPETITIVE RIVALRY
    5.14 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS 
                    FIGURE 34 REVENUE SHIFT FOR MARKET
    5.15 KEY CONFERENCES & EVENTS, 2023–2025 
                    TABLE 18 AI DATA MANAGEMENT MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2023–2025
    5.16 KEY STAKEHOLDERS & BUYING CRITERIA 
           5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
                    TABLE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
           5.16.2 BUYING CRITERIA
                    FIGURE 36 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
                    TABLE 20 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
    5.17 TECHNOLOGY ROADMAP OF MARKET 
                    TABLE 21 SHORT-TERM ROADMAP, 2023–2025
                    TABLE 22 MID-TERM ROADMAP, 2026–2028
                    TABLE 23 LONG-TERM ROADMAP, 2029–2030
    5.18 BEST PRACTICES IN MARKET 
    5.19 BUSINESS MODELS OF MARKET 
           5.19.1 DATA AS A SERVICE (DAAS)
           5.19.2 AI-POWERED ANALYTICS AND INSIGHTS
           5.19.3 DATA GOVERNANCE AND COMPLIANCE SOLUTIONS
           5.19.4 PERSONALIZATION AND RECOMMENDATION ENGINES
           5.19.5 AI INFRASTRUCTURE AND TOOLING
 
6 AI DATA MANAGEMENT MARKET, BY OFFERING (Page No. - 108)
    6.1 INTRODUCTION 
           6.1.1 OFFERING: MARKET DRIVERS
                    FIGURE 37 SERVICES SEGMENT TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 24 MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 25 MARKET, BY OFFERING, 2023–2028 (USD MILLION)
    6.2 OFFERING, BY TYPE 
           6.2.1 PLATFORM
                    6.2.1.1 AI data management platforms to provide end-to-end solutions that streamline data handling across AI lifecycle
                               FIGURE 38 DATA WAREHOUSING SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
                               TABLE 26 MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
                               TABLE 27 MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
                               TABLE 28 PLATFORM: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 29 PLATFORM: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.2.1.2 Data collection & ingestion
                    6.2.1.3 Data preparation & processing
                    6.2.1.4 Data warehousing
                    6.2.1.5 Data analytics
                    6.2.1.6 Data governance
                    6.2.1.7 Data quality management
                    6.2.1.8 Data lifecycle management
                    6.2.1.9 Other platforms
           6.2.2 SOFTWARE TOOLS
                    6.2.2.1 AI data management software tools to streamline data handling and analysis within AI ecosystems
                               FIGURE 39 DATA INTEGRATION & ETL SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
                               TABLE 30 MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
                               TABLE 31 MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
                               TABLE 32 SOFTWARE TOOLS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 33 SOFTWARE TOOLS: AI DATA MANAGEMENT MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.2.2.2 Data integration & ETL
                    6.2.2.3 Data visualization & reporting
                    6.2.2.4 Data modeling
                    6.2.2.5 Data security & privacy
                    6.2.2.6 Data labeling & annotation
                    6.2.2.7 Data cleaning & normalization
                    6.2.2.8 Data versioning
           6.2.3 SERVICES
                    6.2.3.1 Need for expertise in data governance, data quality, and AI-driven analytics to drive demand for AI data management services
                               FIGURE 40 CONSULTING SERVICES SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
                               TABLE 34 MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                               TABLE 35 MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                    6.2.3.2 Consulting
                    6.2.3.3 System integration & implementation
                    6.2.3.4 Support & maintenance
                    6.2.3.5 Data migration
                    6.2.3.6 AI change management & adoption
                    6.2.3.7 AI platform administration
    6.3 OFFERING, BY DEPLOYMENT MODE 
           FIGURE 41 CLOUD DEPLOYMENT MODE TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
           TABLE 36 AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
           TABLE 37 AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
           6.3.1 CLOUD
                    6.3.1.1 Scalability and accessibility of cloud-based AI data management solutions to fuel its demand
                               TABLE 38 CLOUD: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 39 CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.2 ON-PREMISES
                    6.3.2.1 Stringent data governance and security requirements to propel demand for on-premises AI data management solutions
                               TABLE 40 ON-PREMISES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 41 ON-PREMISES: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
7 AI DATA MANAGEMENT MARKET, BY DATA TYPE (Page No. - 127)
    7.1 INTRODUCTION 
           7.1.1 DATA TYPE: MARKET DRIVERS
                    FIGURE 42 TEXT DATA SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 42 MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
                    TABLE 43 MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
    7.2 AUDIO DATA 
           7.2.1 RISING ADOPTION OF VOICE-ENABLED DEVICES AND PERSONALIZED AUDIO EXPERIENCES TO PROPEL MARKET
                    TABLE 44 AUDIO DATA: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 45 AUDIO DATA: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.3 SPEECH & VOICE DATA 
           7.3.1 RISE OF VOICE-CONTROLLED DEVICES AND DEMAND FOR SEAMLESS SPEECH RECOGNITION TECHNOLOGIES TO DRIVE MARKET
                    TABLE 46 SPEECH & VOICE DATA: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 47 SPEECH & VOICE DATA: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.4 IMAGE DATA 
           7.4.1 NEED FOR IMAGE RECOGNITION TECHNOLOGIES ACROSS INDUSTRIES TO BOOST DEMAND FOR AI DATA MANAGEMENT FOR IMAGE DATA
                    TABLE 48 IMAGE DATA: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 49 IMAGE DATA: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.5 TEXT DATA 
           7.5.1 REQUIREMENT FOR SENTIMENT ANALYSIS AND LANGUAGE PROCESSING TECHNOLOGIES TO DRIVE MARKET
                    TABLE 50 TEXT DATA: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 51 TEXT DATA: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.6 VIDEO DATA 
           7.6.1 NEED FOR VIDEO ANALYTICS IN VARIOUS VERTICALS TO FUEL GROWTH OF AI DATA MANAGEMENT FOR VIDEO DATA
                    TABLE 52 VIDEO DATA: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 53 VIDEO DATA: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
8 AI DATA MANAGEMENT MARKET, BY TECHNOLOGY (Page No. - 135)
    8.1 INTRODUCTION 
           8.1.1 TECHNOLOGY: MARKET DRIVERS
                    FIGURE 43 MACHINE LEARNING TECHNOLOGY SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
                    TABLE 54 MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                    TABLE 55 MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
    8.2 MACHINE LEARNING 
           8.2.1 NEED FOR ACCURATE AND PREDICTIVE MACHINE LEARNING MODELS TO FUEL DEMAND FOR ROBUST AI DATA MANAGEMENT
                    TABLE 56 MACHINE LEARNING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 57 MACHINE LEARNING: MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.2.2 DEEP LEARNING
                    8.2.2.1 CNNs
                    8.2.2.2 RNNs
                    8.2.2.3 Generative AI
    8.3 NATURAL LANGUAGE PROCESSING 
           8.3.1 INCREASING DEMAND FOR ADVANCED LANGUAGE UNDERSTANDING AND COMMUNICATION CAPABILITIES TO DRIVE MARKET
                    TABLE 58 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 59 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.4 COMPUTER VISION 
           8.4.1 GROWING NEED FOR ACCURATE IMAGE AND VIDEO ANALYSIS ACROSS INDUSTRIES TO PROPEL DEMAND FOR COMPUTER VISION TECHNOLOGY
                    TABLE 60 COMPUTER VISION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 61 COMPUTER VISION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.5 CONTEXT AWARENESS 
           8.5.1 CONTEXT AWARENESS IN AI DATA MANAGEMENT TO DELIVER TAILORED EXPERIENCES, OPTIMIZE DECISION-MAKING, AND PERSONALIZE INTERACTIONS
                    TABLE 62 CONTEXT AWARENESS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 63 CONTEXT AWARENESS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 AI DATA MANAGEMENT MARKET, BY APPLICATION (Page No. - 143)
    9.1 INTRODUCTION 
           9.1.1 APPLICATION: MARKET DRIVERS
                    FIGURE 44 IMPUTATION PREDICTIVE MODELING SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 64 MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 65 MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
    9.2 PROCESS AUTOMATION 
           9.2.1 INCREASED OPERATIONAL EFFICIENCY AND REDUCED MANUAL INTERVENTION TO FUEL DEMAND FOR PROCESS AUTOMATION
                    TABLE 66 PROCESS AUTOMATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 67 PROCESS AUTOMATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.3 DATA VALIDATION & NOISE REDUCTION 
           9.3.1 NEED TO ENSURE DATA ACCURACY AND RELIABILITY AND REDUCE UNWANTED DISTORTIONS TO PROPEL MARKET
                    TABLE 68 DATA VALIDATION & NOISE REDUCTION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 69 DATA VALIDATION & NOISE REDUCTION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.4 DATA AUGMENTATION 
           9.4.1 NEED TO ENHANCE MODEL GENERALIZATION AND PERFORMANCE BY ARTIFICIALLY EXPANDING DATASETS TO DRIVE MARKET
                    TABLE 70 DATA AUGMENTATION: AI DATA MANAGEMENT MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 71 DATA AUGMENTATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.5 EXPLORATORY DATA ANALYSIS 
           9.5.1 NECESSITY OF UNCOVERING VALUABLE INSIGHTS, UNDERSTANDING DATA DISTRIBUTIONS, AND PREPARING DATA FOR SUBSEQUENT MODELING OR ANALYSIS TO DRIVE MARKET
                    TABLE 72 EXPLORATORY DATA ANALYSIS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 73 EXPLORATORY DATA ANALYSIS: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.6 IMPUTATION & PREDICTIVE MODELING 
           9.6.1 NEED TO HANDLE MISSING DATA EFFECTIVELY AND GENERATE ACCURATE PREDICTIONS TO PROPEL MARKET
                    TABLE 74 IMPUTATION & PREDICTIVE MODELING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 75 IMPUTATION & PREDICTIVE MODELING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.7 DATA ANONYMIZATION & COMPRESSION 
           9.7.1 NEED TO ENSURE PRIVACY, REDUCE STORAGE REQUIREMENTS, AND OPTIMIZE DATA PROCESSING TO DRIVE MARKET
                    TABLE 76 DATA ANONYMIZATION & COMPRESSION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 77 DATA ANONYMIZATION & COMPRESSION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.8 OTHER APPLICATIONS 
           TABLE 78 OTHER APPLICATIONS: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 79 OTHER APPLICATIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
10 AI DATA MANAGEMENT MARKET, BY VERTICAL (Page No. - 154)
     10.1 INTRODUCTION 
             10.1.1 VERTICAL: MARKET DRIVERS
                       FIGURE 45 BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
                       TABLE 80 MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 81 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
     10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 
               TABLE 82 BFSI: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 83 BFSI: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.2.1 FRAUD DETECTION
             10.2.2 CUSTOMER CHURN PREDICTION
             10.2.3 CREDIT RISK ASSESSMENT
             10.2.4 ANTI-MONEY LAUNDERING (AML) COMPLIANCE
             10.2.5 OTHER BFSI APPLICATION TYPES
     10.3 RETAIL & ECOMMERCE 
               TABLE 84 RETAIL & ECOMMERCE: AI DATA MANAGEMENT MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 85 RETAIL & ECOMMERCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.3.1 PERSONALIZED PRODUCT RECOMMENDATION
             10.3.2 INVENTORY MANAGEMENT
             10.3.3 DYNAMIC PRICING
             10.3.4 CUSTOMER SENTIMENT ANALYSIS
             10.3.5 OTHER RETAIL & ECOMMERCE APPLICATION TYPES
     10.4 TELECOMMUNICATIONS 
               TABLE 86 TELECOMMUNICATIONS: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 87 TELECOMMUNICATIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.4.1 NETWORK PERFORMANCE OPTIMIZATION
             10.4.2 NETWORK SECURITY
             10.4.3 QUALITY OF SERVICE MONITORING
             10.4.4 CUSTOMER SUPPORT CHATBOTS
             10.4.5 OTHER TELECOMMUNICATIONS APPLICATION TYPES
     10.5 HEALTHCARE & LIFE SCIENCES 
               TABLE 88 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 89 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.5.1 DISEASE DIAGNOSIS
             10.5.2 DRUG DISCOVERY
             10.5.3 PATIENT MONITORING
             10.5.4 CLINICAL TRAILS OPTIMIZATION
             10.5.5 OTHER HEALTHCARE & LIFE SCIENCES APPLICATION TYPES
     10.6 MANUFACTURING 
               TABLE 90 MANUFACTURING: AI DATA MANAGEMENT MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 91 MANUFACTURING: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.6.1 QUALITY CONTROL
             10.6.2 ROBOTIC PROCESS AUTOMATION
             10.6.3 DEMAND FORECASTING
             10.6.4 PRODUCTION OPTIMIZATION
             10.6.5 OTHER MANUFACTURING APPLICATION TYPES
     10.7 IT & ITES 
               TABLE 92 IT & ITES: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 93 IT & ITES: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.7.1 IT SERVICE MANAGEMENT
             10.7.2 PREDICTIVE MAINTENANCE
             10.7.3 CAPACITY PLANNING
             10.7.4 DATA BACKUP RECOVERY
             10.7.5 OTHER IT & ITES APPLICATION TYPES
     10.8 GOVERNMENT & DEFENSE 
               TABLE 94 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 95 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.8.1 NATURAL DISASTER RESPONSE
             10.8.2 PREDICTIVE POLICING
             10.8.3 BORDER CONTROL & IMMIGRATION
             10.8.4 PUBLIC HEALTH MONITORING
             10.8.5 OTHER GOVERNMENT & DEFENSE APPLICATION TYPES
     10.9 MEDIA & ENTERTAINMENT 
               TABLE 96 MEDIA & ENTERTAINMENT: AI DATA MANAGEMENT MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 97 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.9.1 CONTENT RECOMMENDATION
             10.9.2 CONTENT CREATION
             10.9.3 AUDIENCE ENGAGEMENT ANALYSIS
             10.9.4 REAL-TIME STREAMING OPTIMIZATION
             10.9.5 OTHER MEDIA & ENTERTAINMENT APPLICATION TYPES
     10.10 ENERGY & UTILITIES 
               TABLE 98 ENERGY & UTILITIES: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 99 ENERGY & UTILITIES: MARKET, BY REGION, 2023–2028 (USD MILLION)
               10.10.1 GRID MANAGEMENT
               10.10.2 ENERGY CONSUMPTION ANALYSIS
               10.10.3 RENEWABLE ENERGY FORECASTING
               10.10.4 ENVIRONMENTAL IMPACT ASSESSMENT
               10.10.5 OTHER ENERGY & UTILITIES APPLICATION TYPES
     10.11 OTHER VERTICALS 
                       TABLE 100 OTHER VERTICALS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 101 OTHER VERTICALS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
11 AI DATA MANAGEMENT MARKET, BY REGION (Page No. - 185)
     11.1 INTRODUCTION 
               FIGURE 46 SOUTH AFRICA TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
               FIGURE 47 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               TABLE 102 MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 103 MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.2 NORTH AMERICA 
             11.2.1 NORTH AMERICA: MARKET DRIVERS
             11.2.2 NORTH AMERICA: RECESSION IMPACT ANALYSIS
                       FIGURE 48 NORTH AMERICA: MARKET SNAPSHOT
                       TABLE 104 NORTH AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 105 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
                       TABLE 106 NORTH AMERICA: AI DATA MANAGEMENT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 107 NORTH AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 108 NORTH AMERICA: MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
                       TABLE 109 NORTH AMERICA: MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
                       TABLE 110 NORTH AMERICA: MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
                       TABLE 111 NORTH AMERICA: MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
                       TABLE 112 NORTH AMERICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 113 NORTH AMERICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 114 NORTH AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 115 NORTH AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 116 NORTH AMERICA: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
                       TABLE 117 NORTH AMERICA: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
                       TABLE 118 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 119 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 120 NORTH AMERICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 121 NORTH AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 122 NORTH AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 123 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
             11.2.3 US
                       11.2.3.1 Robust innovation ecosystem, collaborative efforts, and government initiatives to drive market
             11.2.4 CANADA
                       11.2.4.1 Demand for tech infrastructure, skilled workforce, well-established ecosystems, and National AI Strategy to propel market
     11.3 EUROPE 
             11.3.1 EUROPE: MARKET DRIVERS
             11.3.2 EUROPE: RECESSION IMPACT ANALYSIS
                       TABLE 124 EUROPE: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 125 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
                       TABLE 126 EUROPE: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 127 EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 128 EUROPE: MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
                       TABLE 129 EUROPE: MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
                       TABLE 130 EUROPE: MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
                       TABLE 131 EUROPE: MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
                       TABLE 132 EUROPE: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 133 EUROPE: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 134 EUROPE: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 135 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 136 EUROPE: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
                       TABLE 137 EUROPE: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
                       TABLE 138 EUROPE: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 139 EUROPE: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 140 EUROPE: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 141 EUROPE: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 142 EUROPE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 143 EUROPE: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
             11.3.3 UK
                       11.3.3.1 Need for diverse and talented workforce, thriving ecosystem, and strategic initiatives taken by government to drive market
             11.3.4 GERMANY
                       11.3.4.1 Rising focus on AI research and implementation and skilled labor force to propel market
             11.3.5 FRANCE
                       11.3.5.1 Strategic focus on open-source AI initiatives to transform MARKET
             11.3.6 SPAIN
                       11.3.6.1 Spanish government’s active support and initiatives to accelerate growth of AI to boost demand for MARKET
             11.3.7 ITALY
                       11.3.7.1 Well-established technology industry and strategic government initiatives to fuel demand for AI data management solutions
             11.3.8 REST OF EUROPE
     11.4 ASIA PACIFIC 
             11.4.1 ASIA PACIFIC: MARKET DRIVERS
             11.4.2 ASIA PACIFIC: RECESSION IMPACT ANALYSIS
                       FIGURE 49 ASIA PACIFIC: AI DATA MANAGEMENT MARKET SNAPSHOT
                       TABLE 144 ASIA PACIFIC: MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION)
                       TABLE 145 ASIA PACIFIC: MARKET, BY COUNTRY/REGION, 2023–2028 (USD MILLION)
                       TABLE 146 ASIA PACIFIC: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 147 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 148 ASIA PACIFIC: MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
                       TABLE 149 ASIA PACIFIC: MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
                       TABLE 150 ASIA PACIFIC: MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
                       TABLE 151 ASIA PACIFIC: MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
                       TABLE 152 ASIA PACIFIC: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 153 ASIA PACIFIC: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 154 ASIA PACIFIC: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 155 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 156 ASIA PACIFIC: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
                       TABLE 157 ASIA PACIFIC: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
                       TABLE 158 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 159 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 160 ASIA PACIFIC: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 161 ASIA PACIFIC: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 162 ASIA PACIFIC: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 163 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 164 ASIA PACIFIC: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 165 ASIA PACIFIC: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.4.3 CHINA
                       11.4.3.1 Substantial investments in AI research and development and rising government initiatives for R&D to drive market
             11.4.4 JAPAN
                       11.4.4.1 AI-driven healthcare industry and strategic government support to fuel demand for AI data management solutions
             11.4.5 INDIA
                       11.4.5.1 Increasing investment in AI-driven R&D and establishment of National Program on AI to propel market
             11.4.6 SOUTH KOREA
                       11.4.6.1 Robust ICT industry, high production of semiconductors, and AI patent dominance to accelerate market
             11.4.7 AUSTRALIA & NEW ZEALAND
                       11.4.7.1 Increasing reliance on software solutions and rising awareness regarding strategic value of AI to propel market
             11.4.8 REST OF ASIA PACIFIC
     11.5 MIDDLE EAST & AFRICA 
             11.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
             11.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT ANALYSIS
                       TABLE 166 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 167 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 168 MIDDLE EAST & AFRICA: MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
                       TABLE 169 MIDDLE EAST & AFRICA: MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
                       TABLE 170 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
                       TABLE 171 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
                       TABLE 172 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 173 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 174 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 175 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 176 MIDDLE EAST & AFRICA: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
                       TABLE 177 MIDDLE EAST & AFRICA: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
                       TABLE 178 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 179 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 180 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 181 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 182 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 183 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 184 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 185 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.5.3 UAE
                       11.5.3.1 Implementation of National Artificial Intelligence Strategy 2031 and investment in innovative technologies to propel market
             11.5.4 KSA
                       11.5.4.1 Saudi Arabia’s Vision 2030 commitment to AI to fuel demand for AI data management solutions
             11.5.5 SOUTH AFRICA
                       11.5.5.1 Growing ICT sector and adoption of AI technologies to fuel demand for diverse AI-driven solutions
             11.5.6 TURKEY
                       11.5.6.1 Rapid growth of cloud and online services driving demand for high-speed data delivery to propel market
             11.5.7 REST OF MIDDLE EAST & AFRICA
     11.6 LATIN AMERICA 
             11.6.1 LATIN AMERICA: MARKET DRIVERS
             11.6.2 LATIN AMERICA: RECESSION IMPACT ANALYSIS
                       TABLE 186 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 187 LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 188 LATIN AMERICA: MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
                       TABLE 189 LATIN AMERICA: MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
                       TABLE 190 LATIN AMERICA: MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
                       TABLE 191 LATIN AMERICA: MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
                       TABLE 192 LATIN AMERICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 193 LATIN AMERICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 194 LATIN AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 195 LATIN AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 196 LATIN AMERICA: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
                       TABLE 197 LATIN AMERICA: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
                       TABLE 198 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 199 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 200 LATIN AMERICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 201 LATIN AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 202 LATIN AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 203 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 204 LATIN AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 205 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.6.3 BRAZIL
                       11.6.3.1 Robust software development and implementation of stringent regulations to create favorable environment for AI data management to drive market
             11.6.4 MEXICO
                       11.6.4.1 Burgeoning IT industry and adoption of comprehensive national AI strategy to drive market
             11.6.5 ARGENTINA
                       11.6.5.1 Increasing tech-savvy population, significant broadband penetration rates, and rising development of new technologies to propel market
             11.6.6 REST OF LATIN AMERICA
 
12 COMPETITIVE LANDSCAPE (Page No. - 247)
     12.1 OVERVIEW 
     12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 
               TABLE 206 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI DATA MANAGEMENT VENDORS
     12.3 REVENUE ANALYSIS 
               FIGURE 50 TOP 5 PLAYERS TO DOMINATE MARKET IN LAST 5 YEARS
     12.4 MARKET SHARE ANALYSIS 
               FIGURE 51 MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2022
               TABLE 207 MARKET: DEGREE OF COMPETITION
     12.5 BRAND/PRODUCT COMPARATIVE ANALYSIS 
               FIGURE 52 MARKET: BRAND/PRODUCT COMPARATIVE ANALYSIS
     12.6 COMPANY EVALUATION MATRIX 
             12.6.1 STARS
             12.6.2 EMERGING LEADERS
             12.6.3 PERVASIVE PLAYERS
             12.6.4 PARTICIPANTS
                       FIGURE 53 AI DATA MANAGEMENT MARKET: COMPANY EVALUATION MATRIX, 2022
             12.6.5 COMPANY FOOTPRINT OF KEY PLAYERS
                       TABLE 208 PRODUCT FOOTPRINT (20 COMPANIES)
                       TABLE 209 VERTICAL FOOTPRINT (20 COMPANIES)
                       TABLE 210 REGION FOOTPRINT (20 COMPANIES)
                       TABLE 211 OVERALL COMPANY FOOTPRINT (20 COMPANIES)
     12.7 START-UP/SME EVALUATION MATRIX, 2022 
             12.7.1 PROGRESSIVE COMPANIES
             12.7.2 RESPONSIVE COMPANIES
             12.7.3 DYNAMIC COMPANIES
             12.7.4 STARTING BLOCKS
                       FIGURE 54 MARKET: START-UP/SME EVALUATION MATRIX, 2022
             12.7.5 COMPETITIVE BENCHMARKING
                       TABLE 212 MARKET: DETAILED LIST OF KEY START-UPS/SMES
                       TABLE 213 MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
     12.8 COMPETITIVE SCENARIO AND TRENDS 
             12.8.1 PRODUCT LAUNCHES
                       TABLE 214 MARKET: PRODUCT LAUNCHES, MAY 2021–DECEMBER 2023
             12.8.2 DEALS
                       TABLE 215 MARKET: DEALS, FEBRUARY 2021–NOVEMBER 2023
             12.8.3 OTHERS
                       TABLE 216 AI DATA MANAGEMENT MARKET: OTHERS, JULY 2021–NOVEMBER 2023
     12.9 VALUATION AND FINANCIAL METRICS OF KEY VENDORS 
               FIGURE 55 VALUATION AND FINANCIAL METRICS OF KEY VENDORS
     12.10 YTD PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS 
               FIGURE 56 YTD PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
 
13 COMPANY PROFILES (Page No. - 268)
     13.1 INTRODUCTION 
(Business overview, Products/Solutions/Services offered, Recent developments & MnM View)*
     13.2 KEY PLAYERS 
             13.2.1 MICROSOFT
                       FIGURE 57 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 218 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 219 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 220 MICROSOFT: DEALS
             13.2.2 IBM
                       TABLE 222 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 223 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 224 IBM: DEALS
                       TABLE 225 IBM: OTHERS
             13.2.3 AWS
                       TABLE 226 AWS: COMPANY OVERVIEW
                       FIGURE 59 AWS: COMPANY SNAPSHOT
                       TABLE 230 AWS: OTHERS
             13.2.4 GOOGLE
                       FIGURE 60 GOOGLE: COMPANY SNAPSHOT
             13.2.5 ORACLE
                       TABLE 237 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 239 ORACLE: DEALS
             13.2.6 SALESFORCE
                       TABLE 240 SALESFORCE: COMPANY OVERVIEW
                       FIGURE 62 SALESFORCE: COMPANY SNAPSHOT
                       TABLE 241 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 242 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 243 SALESFORCE: DEALS
             13.2.7 SAP
                       TABLE 244 SAP: COMPANY OVERVIEW
                       FIGURE 63 SAP: COMPANY SNAPSHOT
                       TABLE 245 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 246 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 247 SAP: DEALS
                       TABLE 248 SAP: OTHERS
             13.2.8 SAS INSTITUTE
             13.2.9 HPE
                       TABLE 253 HPE: COMPANY OVERVIEW
                       FIGURE 64 HPE: COMPANY SNAPSHOT
                       TABLE 254 HPE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 255 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 256 HPE: DEALS
             13.2.10 SNOWFLAKE
                       TABLE 257 SNOWFLAKE: COMPANY OVERVIEW
                       FIGURE 65 SNOWFLAKE: COMPANY SNAPSHOT
                       TABLE 258 SNOWFLAKE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 259 SNOWFLAKE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 260 SNOWFLAKE: DEALS
                       TABLE 261 SNOWFLAKE: OTHERS
             13.2.11 TERADATA
                       TABLE 262 TERADATA: COMPANY OVERVIEW
                       FIGURE 66 TERADATA: COMPANY SNAPSHOT
                       TABLE 263 TERADATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 264 TERADATA: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 265 TERADATA: DEALS
                       TABLE 266 TERADATA: OTHERS
             13.2.12 INFORMATICA
                       TABLE 267 INFORMATICA: COMPANY OVERVIEW
                       FIGURE 67 INFORMATICA: COMPANY SNAPSHOT
                       TABLE 268 INFORMATICA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 269 INFORMATICA: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 270 INFORMATICA: DEALS
                       TABLE 271 INFORMATICA: OTHERS
             13.2.13 DATABRICKS
             13.2.14 TIBCO SOFTWARE
             13.2.15 QLIK
                       TABLE 285 QLIK: OTHERS
             13.2.16 COLLIBRA
             13.2.17 DATAIKU
             13.2.18 ALTERYX
             13.2.19 DATAMATICS BUSINESS SOLUTIONS
             13.2.20 ACCENTURE
*Details on Business overview, Products/Solutions/Services offered, Recent developments & MnM View might not be captured in case of unlisted companies.
     13.3 START-UPS/SMES 
             13.3.1 ATACCAMA CORPORATION
             13.3.2 RELTIO
             13.3.3 TAMR
             13.3.4 THOUGHTSPOT
             13.3.5 ATSCALE
             13.3.6 ALATION
             13.3.7 CLARIFAI
             13.3.8 DDN STORAGE
             13.3.9 DATALOOP AI
             13.3.10 ASTERA SOFTWARE
 
14 ADJACENT AND RELATED MARKETS (Page No. - 399)
     14.1 INTRODUCTION 
     14.2 MASTER DATA MANAGEMENT MARKET 
             14.2.1 MARKET DEFINITION
             14.2.2 MARKET OVERVIEW
                       TABLE 286 MASTER DATA MANAGEMENT MARKET SIZE AND GROWTH RATE, 2016–2021 (USD MILLION, Y-O-Y %)
                       TABLE 287 MASTER DATA MANAGEMENT MARKET SIZE AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y %)
                       14.2.2.1 Master data management market, by component
                                   TABLE 288 MASTER DATA MANAGEMENT MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                                   TABLE 289 MASTER DATA MANAGEMENT MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       14.2.2.2 Master data management market, by deployment type
                                   TABLE 290 MASTER DATA MANAGEMENT MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
                                   TABLE 291 MASTER DATA MANAGEMENT MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       14.2.2.3 Master data management market, by organization size
                                   TABLE 292 MASTER DATA MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION)
                                   TABLE 293 MASTER DATA MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       14.2.2.4 Master data management market, by vertical
                                   TABLE 294 MASTER DATA MANAGEMENT MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                                   TABLE 295 MASTER DATA MANAGEMENT MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       14.2.2.5 Master data management market, by region
                                   TABLE 296 MASTER DATA MANAGEMENT MARKET, BY REGION, 2016–2021 (USD MILLION)
                                   TABLE 297 MASTER DATA MANAGEMENT MARKET, BY REGION, 2022–2027 (USD MILLION)
     14.3 METADATA MANAGEMENT TOOLS MARKET 
             14.3.1 MARKET DEFINITION
             14.3.2 MARKET OVERVIEW
                       TABLE 298 GLOBAL METADATA MANAGEMENT TOOLS MARKET SIZE AND GROWTH RATE, 2015–2020 (USD MILLION, Y-O-Y%)
                       TABLE 299 GLOBAL METADATA MANAGEMENT TOOLS MARKET SIZE AND GROWTH RATE, 2021–2026 (USD MILLION, Y-O-Y%)
                       14.3.2.1 Metadata management tools market, by application
                                   TABLE 300 METADATA MANAGEMENT TOOLS MARKET, BY APPLICATION, 2015–2020 (USD MILLION)
                                   TABLE 301 METADATA MANAGEMENT TOOLS MARKET, BY APPLICATION, 2021–2026 (USD MILLION)
                       14.3.2.2 Metadata management tools market, by business function
                                   TABLE 302 METADATA MANAGEMENT TOOLS MARKET, BY BUSINESS FUNCTION, 2015–2020 (USD MILLION)
                                   TABLE 303 METADATA MANAGEMENT TOOLS MARKET, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION)
                       14.3.2.3 Metadata management tools market, by organization size
                                   TABLE 304 METADATA MANAGEMENT TOOLS MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
                                   TABLE 305 METADATA MANAGEMENT TOOLS MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
                       14.3.2.4 Metadata management tools market, by vertical
                                   TABLE 306 METADATA MANAGEMENT TOOLS MARKET, BY VERTICAL, 2015–2020 (USD MILLION)
                                   TABLE 307 METADATA MANAGEMENT TOOLS MARKET, BY VERTICAL, 2021–2026 (USD MILLION)
                       14.3.2.5 Metadata management tools market, by component
                                   TABLE 308 METADATA MANAGEMENT TOOLS MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
                                   TABLE 309 METADATA MANAGEMENT TOOLS MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
                       14.3.2.6 Metadata management tools market, by metadata type
                                   TABLE 310 METADATA MANAGEMENT TOOLS MARKET, BY METADATA TYPE, 2015–2020 (USD MILLION)
                                   TABLE 311 METADATA MANAGEMENT TOOLS MARKET, BY METADATA TYPE, 2021–2026 (USD MILLION)
                       14.3.2.7 Metadata management tools market, by deployment mode
                                   TABLE 312 METADATA MANAGEMENT TOOLS MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
                                   TABLE 313 METADATA MANAGEMENT TOOLS MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
                       14.3.2.8 Metadata management tools market, by region
                                   TABLE 314 METADATA MANAGEMENT MARKET, BY REGION, 2015–2020 (USD MILLION)
                                   TABLE 315 METADATA MANAGEMENT MARKET, BY REGION, 2021–2026 (USD MILLION)
 
15 APPENDIX (Page No. - 414)
     15.1 DISCUSSION GUIDE 
     15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     15.3 CUSTOMIZATION OPTIONS 
     15.4 RELATED REPORTS 
     15.5 AUTHOR DETAILS 

The research study for the AI data management market involved extensive secondary sources, directories, and several journals. Primary sources were mainly industry experts from the core and related industries, preferred AI data management software providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

The market size of companies offering AI data management platforms, software tools and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.

In the secondary research process, various sources were referred to for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendor websites. Additionally, AI data management spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to platforms, software/tools, services, deployment mode, data type, technology, applications, verticals, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and AI data management expertise; related key executives from AI data management solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using AI data management, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of AI data management solutions and services, which would impact the overall AI data management market

The following is the breakup of primary profiles:

AI Data Management Market Size, and Share

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Market Size Estimation

Multiple approaches were adopted for estimating and forecasting the AI data management market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of solutions and services.

Market Size Estimation Methodology-Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering platform, software tools and services in the AI data management market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of platform, software/tools and services, deployment mode, data type, technology, applications, verticals, and regions. The aggregate of all the companies’ revenue 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.

Market Size Estimation Methodology-Bottom-up approach

In the bottom-up approach, the adoption rate of AI data management platform, software tools 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 AI data management solutions 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.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the AI data management market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major AI data management solution providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall AI data management market size and segments’ size were determined and confirmed using the study.

Top-down and Bottom-up approaches

AI Data Management Market Size, and Share

To know about the assumptions considered for the study, Request for Free Sample Report

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

According to IBM, Data management systems and AI are synergistic. When AI becomes embedded within and throughout the data management system, it has the potential to improve database query accuracy and performance, and to optimize system resources.

According to HPE, AI Data Management involves strategically and methodically managing an organization's data assets using AI technology to improve data quality, analysis, and decision-making. It includes all the procedures, guidelines, and technical methods employed to collect, organize, store, and utilize data efficiently.

Stakeholders

  • AI data management software vendors
  • Managed service providers
  • Support and maintenance service providers
  • System Integrators (SIs)/migration service providers
  • Value-added resellers (VARs) and distributors
  • Distributors and value-added resellers (VARs)
  • System integrators (SIs)
  • Independent software vendors (ISV)
  • Third-party providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the AI data management market by offering type (platform, software tools and services) offering by deployment mode, data type, technology, application, vertical, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • 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 & Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the AI data management market.

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 as per Feasibility

  • Further breakup of the North American AI data management Market
  • Further breakup of the European Market
  • Further breakup of the Asia Pacific Market
  • Further breakup of the Middle East & Africa Market
  • Further breakup of the Latin American Market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)
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Report Code
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Published ON
Jan, 2024
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