AI Data Management Market

Report Code TC 8905
Published in Jan, 2024, By MarketsandMarkets™
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AI Data Management Market by Platform (Data Warehousing, Analytics, Data Governance), Software (Data Integration & ETL, Data Visualization, Data Labeling & Annotation, Data Versioning), Data Type, Technology (ML (CNN, RNN), NLP) - Global Forecast to 2028

Overview

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.

Attractive Opportunities in the AI Data Management Market

ASIA PACIFIC

The growing application of generative AI in areas such as research, marketing, IT operations, software development, and customer service drives the AI data management market in Asia Pacific

The exponential growth of data, both in volume and complexity, continues to be a driving force.

Recent developments in AI fields, including machine learning, natural language processing, and deep learning to increase the adoption of AI in data management solutions.

Acquisitions and mergers would offer lucrative opportunities to the market players in the next five years.

North America is expected to be the largest market during the forecast period. The region is a leader in technological advancements and is home to major AI data management vendors.

Global AI Data Management 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.

Global AI Data Management Market Ecosystem Analysis

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.

 

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 region holds the largest share of the AI Data Management Market.

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.

 
 

Recent Developments of AI Data Management Market industry

  • 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.

Key Market Players

KEY PLAYERS IN THE AI Data Management Market 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)

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Scope of the Report

Report Attribute 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).

 

Key Questions Addressed by the Report

What are AI data management?
AI data management involves the strategic handling, organization, and utilization of data using artificial intelligence techniques. It encompasses collecting, storing, processing, and analyzing data using AI algorithms to derive valuable insights, improve decision-making, automate processes, and optimize operations within an organization.
Which region is expected to hold the highest share in the AI data management market?
North America is expected to hold a significant share in the AI data management market. The region has been a major hub for technological advancements, with a high adoption rate of AI and data management solutions across various industries. The United States is home to many leading AI companies and has been at the forefront of AI innovation.
Which are key end users adopting AI data management solutions and services?
Key end users adopting AI data management solutions and services include BFSI, Retail & eCommerce, Healthcare and life Sciences, Government & Defense, Manufacturing, Energy & Utilities, Telecommunications, Media & Entertainment, IT & ITeS, and Other Verticals (Travel & Hospitality, Education, and Transportation & Logistics).
Which are the key drivers supporting the market growth for AI data management?
The key drivers supporting the market growth for AI data management include AI-powered data fabric solutions and automated integration, the evolution in cloud technology, and rapid advancements in AI and ML, which propel the adoption of transformative data management solutions.
Who are the key vendors in the market for AI data management?
The key vendors in the global AI data management market 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), and several others.

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
35
RESEARCH METHODOLOGY
39
EXECUTIVE SUMMARY
51
PREMIUM INSIGHTS
58
MARKET OVERVIEW AND INDUSTRY TRENDS
60
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Adoption of AI-powered data fabric solutions and automated integration
    - Emergence and widespread adoption of cloud computing and evolution in cloud technology
    - Rapid advancements in AI and ML and adoption of transformative data management solutions
    RESTRAINTS
    - Scarcity of relevant, comprehensive, and high-quality data
    - Susceptibility to biases and inaccuracies
    OPPORTUNITIES
    - Automated data cleaning to revolutionize data preparation for better insights
    - Enhanced predictive analytics to empower businesses to anticipate future trends
    - Rise of personalized and adaptive systems
    CHALLENGES
    - Acquiring and curating large datasets leading to need for substantial resources
    - Lack of professional knowledge and scarcity of skilled AI experts
    - Limited access to specialized education and training programs tailored to AI data management
  • 5.3 AI DATA MANAGEMENT MARKET: ARCHITECTURE
  • 5.4 AI DATA MANAGEMENT MARKET: EVOLUTION
  • 5.5 SUPPLY CHAIN ANALYSIS
  • 5.6 ECOSYSTEM/MARKET MAP
    PLATFORM PROVIDERS
    SOFTWARE PROVIDERS
    SERVICE PROVIDERS
    END USERS
  • 5.7 CASE STUDY ANALYSIS
    CASE STUDY 1: TAMR’S HEALTHCARE PROVIDERS DATA PRODUCT UNIFIED VAST DATA SOURCES AND CREATED RELIABLE RECORDS FOR P360
    CASE STUDY 2: ALATION EMPOWERED AUSTRALIAN ENERGY COMPANY'S DIGITAL TRANSFORMATION THROUGH DATA GOVERNANCE AND CURATED INSIGHTS
    CASE STUDY 3: VIACOM18 DEPLOYED AZURE DATABRICKS TO ACCELERATE VIEWER PERSONALIZATION, BOOST PRODUCTIVITY, AND ENHANCE INSIGHTS
    CASE STUDY 4: CNP ASSURANCES DEPLOYED INFORMATICA MDM TO FACILITATE REAL-TIME AND BATCH-PROCESSING UPDATES TO MANAGE EVOLVING RISK PROFILES EFFECTIVELY
    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
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    NORTH AMERICA
    - US
    - Canada
    EUROPE
    ASIA PACIFIC
    - South Korea
    - China
    - India
    MIDDLE EAST & AFRICA
    - UAE
    - KSA
    - Bahrain
    LATIN AMERICA
    - Brazil
    - Mexico
  • 5.9 PATENT ANALYSIS
    METHODOLOGY
    PATENTS FILED, BY DOCUMENT TYPE
    INNOVATION AND PATENT APPLICATIONS
    - Top 10 applicants in AI data management market
  • 5.10 TRADE ANALYSIS FOR AI DATA MANAGEMENT SOFTWARE
    IMPORT SCENARIO OF COMPUTER SOFTWARE
    EXPORT SCENARIO OF COMPUTER SOFTWARE
  • 5.11 TECHNOLOGY ANALYSIS
    AI DATA MANAGEMENT MARKET: TECHNOLOGY ANALYSIS
    - Key Technologies
    - Complementary Technologies
    - Adjacent Technologies
  • 5.12 PRICING ANALYSIS
    AVERAGE SELLING PRICE TREND OF KEY PLAYERS, TOP 3 SOFTWARE TOOLS
    INDICATIVE PRICING ANALYSIS OF AI DATA MANAGEMENT, BY OFFERING
  • 5.13 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.14 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
  • 5.15 KEY CONFERENCES & EVENTS, 2023–2025
  • 5.16 KEY STAKEHOLDERS & BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.17 TECHNOLOGY ROADMAP OF AI DATA MANAGEMENT MARKET
  • 5.18 BEST PRACTICES IN AI DATA MANAGEMENT MARKET
  • 5.19 BUSINESS MODELS OF AI DATA MANAGEMENT MARKET
    DATA AS A SERVICE (DAAS)
    AI-POWERED ANALYTICS AND INSIGHTS
    DATA GOVERNANCE AND COMPLIANCE SOLUTIONS
    PERSONALIZATION AND RECOMMENDATION ENGINES
    AI INFRASTRUCTURE AND TOOLING
AI DATA MANAGEMENT MARKET, BY OFFERING
110
  • 6.1 INTRODUCTION
    OFFERING: AI DATA MANAGEMENT MARKET DRIVERS
  • 6.2 OFFERING, BY TYPE
    PLATFORM
    - AI data management platforms to provide end-to-end solutions that streamline data handling across the AI lifecycle
    - Data collection & ingestion
    - Data preparation & processing
    - Data warehousing
    - Data analytics
    - Data governance
    - Data quality management
    - Data lifecycle management
    - Other platforms
    SOFTWARE TOOLS
    - AI data management software tools to streamline data handling and analysis within AI ecosystems
    - Data integration & ETL
    - Data visualization & reporting
    - Data modeling
    - Data security & privacy
    - Data labeling & annotation
    - Data cleaning & normalization
    - Data versioning
    SERVICES
    - Need for expertise in data governance, data quality, and AI-driven analytics to drive demand for AI data management services
    - Consulting
    - System integration & implementation
    - Support & maintenance
    - Data migration
    - AI change management & adoption
    - AI platform administration
  • 6.3 OFFERING, BY DEPLOYMENT MODE
    CLOUD
    - Scalability and accessibility of cloud-based AI data management solutions to fuel its demand
    ON-PREMISES
    - Stringent data governance and security requirements to propel demand for on-premises AI data management solutions
AI DATA MANAGEMENT MARKET, BY DATA TYPE
143
  • 7.1 INTRODUCTION
    DATA TYPE: AI DATA MANAGEMENT MARKET DRIVERS
  • 7.2 AUDIO DATA
    RISING ADOPTION OF VOICE-ENABLED DEVICES AND PERSONALIZED AUDIO EXPERIENCES TO PROPEL MARKET
  • 7.3 SPEECH & VOICE DATA
    RISE OF VOICE-CONTROLLED DEVICES AND DEMAND FOR SEAMLESS SPEECH RECOGNITION TECHNOLOGIES TO DRIVE MARKET
  • 7.4 IMAGE DATA
    NEED FOR IMAGE RECOGNITION TECHNOLOGIES ACROSS INDUSTRIES TO BOOST DEMAND FOR AI DATA MANAGEMENT FOR IMAGE DATA
  • 7.5 TEXT DATA
    REQUIREMENT FOR SENTIMENT ANALYSIS AND LANGUAGE PROCESSING TECHNOLOGIES TO DRIVE MARKET
  • 7.6 VIDEO DATA
    NEED FOR VIDEO ANALYTICS IN VARIOUS VERTICALS TO FUEL GROWTH OF AI DATA MANAGEMENT FOR VIDEO DATA
AI DATA MANAGEMENT MARKET, BY TECHNOLOGY (QUALITATIVE)
151
  • 8.1 INTRODUCTION
  • 8.2 MACHINE LEARNING
    NEED FOR ACCURATE AND PREDICTIVE MACHINE LEARNING MODELS TO FUEL DEMAND FOR ROBUST AI DATA MANAGEMENT
    DEEP LEARNING
    - CNNs
    - RNNs
    - Generative AI
  • 8.3 NATURAL LANGUAGE PROCESSING
    INCREASING DEMAND FOR ADVANCED LANGUAGE UNDERSTANDING AND COMMUNICATION CAPABILITIES TO DRIVE MARKET
  • 8.4 COMPUTER VISION
    GROWING NEED FOR ACCURATE IMAGE AND VIDEO ANALYSIS ACROSS INDUSTRIES TO PROPEL DEMAND FOR COMPUTER VISION TECHNOLOGY
  • 8.5 CONTEXT AWARENESS
    CONTEXT AWARENESS IN AI DATA MANAGEMENT TO DELIVER TAILORED EXPERIENCES, OPTIMIZE DECISION-MAKING, AND PERSONALIZE INTERACTIONS
AI DATA MANAGEMENT MARKET, BY APPLICATION
154
  • 9.1 INTRODUCTION
    APPLICATION: AI DATA MANAGEMENT MARKET DRIVERS
  • 9.2 PROCESS AUTOMATION
    INCREASED OPERATIONAL EFFICIENCY AND REDUCED MANUAL INTERVENTION TO FUEL DEMAND FOR PROCESS AUTOMATION
  • 9.3 DATA VALIDATION & NOISE REDUCTION
    NEED TO ENSURE DATA ACCURACY AND RELIABILITY AND REDUCE UNWANTED DISTORTIONS TO PROPEL MARKET
  • 9.4 DATA AUGMENTATION
    NEED TO ENHANCE MODEL GENERALIZATION AND PERFORMANCE BY ARTIFICIALLY EXPANDING DATASETS TO DRIVE MARKET
  • 9.5 EXPLORATORY DATA ANALYSIS
    NECESSITY OF UNCOVERING VALUABLE INSIGHTS, UNDERSTANDING DATA DISTRIBUTIONS, AND PREPARING DATA FOR SUBSEQUENT MODELING OR ANALYSIS TO DRIVE MARKET
  • 9.6 IMPUTATION & PREDICTIVE MODELING
    NEED TO HANDLE MISSING DATA EFFECTIVELY AND GENERATE ACCURATE PREDICTIONS TO PROPEL MARKET
  • 9.7 DATA ANONYMIZATION & COMPRESSION
    NEED TO ENSURE PRIVACY, REDUCE STORAGE REQUIREMENTS, AND OPTIMIZE DATA PROCESSING TO DRIVE MARKET
  • 9.8 OTHER APPLICATIONS
AI DATA MANAGEMENT MARKET, BY VERTICAL
165
  • 10.1 INTRODUCTION
    VERTICAL: AI DATA MANAGEMENT MARKET DRIVERS
  • 10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
    FRAUD DETECTION
    CUSTOMER CHURN PREDICTION
    CREDIT RISK ASSESSMENT
    ANTI-MONEY LAUNDERING (AML) COMPLIANCE
    OTHER BFSI APPLICATION TYPES
  • 10.3 RETAIL & ECOMMERCE
    PERSONALIZED PRODUCT RECOMMENDATION
    INVENTORY MANAGEMENT
    DYNAMIC PRICING
    CUSTOMER SENTIMENT ANALYSIS
    OTHER RETAIL & ECOMMERCE APPLICATION TYPES
  • 10.4 TELECOMMUNICATIONS
    NETWORK PERFORMANCE OPTIMIZATION
    NETWORK SECURITY
    QUALITY OF SERVICE MONITORING
    CUSTOMER SUPPORT CHATBOTS
    OTHER TELECOMMUNICATIONS APPLICATION TYPES
  • 10.5 HEALTHCARE & LIFE SCIENCES
    DISEASE DIAGNOSIS
    DRUG DISCOVERY
    PATIENT MONITORING
    CLINICAL TRAILS OPTIMIZATION
    OTHER HEALTHCARE & LIFE SCIENCES APPLICATION TYPES
  • 10.6 MANUFACTURING
    QUALITY CONTROL
    ROBOTIC PROCESS AUTOMATION
    DEMAND FORECASTING
    PRODUCTION OPTIMIZATION
    OTHER MANUFACTURING APPLICATION TYPES
  • 10.7 IT & ITES
    IT SERVICE MANAGEMENT
    PREDICTIVE MAINTENANCE
    CAPACITY PLANNING
    DATA BACKUP RECOVERY
    OTHER IT & ITES APPLICATION TYPES
  • 10.8 GOVERNMENT & DEFENSE
    NATURAL DISASTER RESPONSE
    PREDICTIVE POLICING
    BORDER CONTROL & IMMIGRATION
    PUBLIC HEALTH MONITORING
    OTHER GOVERNMENT & DEFENSE APPLICATION TYPES
  • 10.9 MEDIA & ENTERTAINMENT
    CONTENT RECOMMENDATION
    CONTENT CREATION
    AUDIENCE ENGAGEMENT ANALYSIS
    REAL-TIME STREAMING OPTIMIZATION
    OTHER MEDIA & ENTERTAINMENT APPLICATION TYPES
  • 10.10 ENERGY & UTILITIES
    GRID MANAGEMENT
    ENERGY CONSUMPTION ANALYSIS
    RENEWABLE ENERGY FORECASTING
    ENVIRONMENTAL IMPACT ASSESSMENT
    OTHER ENERGY & UTILITIES APPLICATION TYPES
  • 10.11 OTHER VERTICALS
AI DATA MANAGEMENT MARKET, BY REGION
196
  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    NORTH AMERICA: AI DATA MANAGEMENT MARKET DRIVERS
    US
    - Robust innovation ecosystem, collaborative efforts, and government initiatives to drive market
    CANADA
    - Demand for tech infrastructure, skilled workforce, well-established ecosystems, and National AI Strategy to propel market
  • 11.3 EUROPE
    EUROPE: AI DATA MANAGEMENT MARKET DRIVERS
    UK
    - Need for a diverse and talented workforce, a thriving ecosystem, and strategic initiatives are taken by the government to drive the market
    GERMANY
    - Rising focus on AI research and implementation and skilled labor force to propel market
    FRANCE
    - Strategic focus on open-source AI initiatives to transform AI data management market
    SPAIN
    - Spanish government’s active support and initiatives to accelerate growth of AI to boost demand for AI data management market
    ITALY
    - Well-established technology industry and strategic government initiatives to fuel demand for AI data management solutions
    REST OF EUROPE
  • 11.4 ASIA PACIFIC
    ASIA PACIFIC: AI DATA MANAGEMENT MARKET DRIVERS
    CHINA
    - Substantial investments in AI research and development and rising government initiatives for R&D to drive market
    JAPAN
    - AI-driven healthcare industry and strategic government support to fuel demand for AI data management solutions
    INDIA
    - Increasing investment in AI-driven R&D and establishment of National Program on AI to propel market
    SOUTH KOREA
    - Robust ICT industry, high production of semiconductors, and AI patent dominance to accelerate market
    AUSTRALIA & NEW ZEALAND
    - Increasing reliance on software solutions and rising awareness regarding strategic value of AI to propel market
    ASEAN
    - Surge in digital transformation initiatives, government support, and demand for efficient data handling process to propel market
    REST OF ASIA PACIFIC
  • 11.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: AI DATA MANAGEMENT MARKET DRIVERS
    MIDDLE EAST
    - KSA
    - UAE
    - kuwait
    - Bahrain
    - Rest of Middle East
    AFRICA
    - AI creation and implementation are transforming businesses to effectively manage data and streamline operations in Africa
  • 11.6 LATIN AMERICA
    LATIN AMERICA: AI DATA MANAGEMENT MARKET DRIVERS
    BRAZIL
    - Robust software development and implementation of stringent regulations to create favorable environment for AI data management to drive market
    MEXICO
    - Burgeoning IT industry and adoption of comprehensive national AI strategy to drive market
    ARGENTINA
    - Increasing tech-savvy population, significant broadband penetration rates, and rising development of new technologies to propel market
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
264
  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 12.3 REVENUE ANALYSIS
  • 12.4 MARKET SHARE ANALYSIS
  • 12.5 BRAND/PRODUCT COMPARATIVE ANALYSIS
  • 12.6 COMPANY EVALUATION MATRIX
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT OF KEY PLAYERS
  • 12.7 START-UP/SME EVALUATION MATRIX, 2022
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING
  • 12.8 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES
    DEALS
    OTHERS
  • 12.9 VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • 12.10 YTD PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
COMPANY PROFILES
285
  • 13.1 INTRODUCTION
  • 13.2 KEY PLAYERS
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    GOOGLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ORACLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SALESFORCE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SAP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SAS INSTITUTE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    HPE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SNOWFLAKE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    TERADATA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    INFORMATICA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    DATABRICKS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    TIBCO SOFTWARE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    QLIK
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    COLLIBRA
    DATAIKU
    ALTERYX
    DATAMATICS BUSINESS SOLUTIONS
    ACCENTURE
  • 13.3 START-UPS/SMES
    ATACCAMA CORPORATION
    RELTIO
    TAMR
    THOUGHTSPOT
    ATSCALE
    ALATION
    CLARIFAI
    DDN STORAGE
    DATALOOP AI
    ASTERA SOFTWARE
ADJACENT AND RELATED MARKETS
416
  • 14.1 INTRODUCTION
  • 14.2 MASTER DATA MANAGEMENT MARKET
    MARKET DEFINITION
    MARKET OVERVIEW
    - Master data management market, by component
    - Master data management market, by deployment type
    - Master data management market, by organization size
    - Master data management market, by vertical
    - Master data management market, by region
  • 14.3 METADATA MANAGEMENT TOOLS MARKET
    MARKET DEFINITION
    MARKET OVERVIEW
    - Metadata management tools market, by application
    - Metadata management tools market, by business function
    - Metadata management tools market, by organization size
    - Metadata management tools market, by vertical
    - Metadata management tools market, by component
    - Metadata management tools market, by metadata type
    - Metadata management tools market, by deployment mode
    - Metadata management tools market, by region
APPENDIX
431
  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 15.3 CUSTOMIZATION OPTIONS
  • 15.4 RELATED REPORTS
  • 15.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 AI DATA MANAGEMENT MARKET: PRIMARY INTERVIEWS
  • TABLE 2 FACTOR ANALYSIS
  • TABLE 3 AI DATA MANAGEMENT MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y)
  • TABLE 4 AI DATA MANAGEMENT MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y)
  • TABLE 5 AI DATA MANAGEMENT MARKET: ECOSYSTEM
  • TABLE 6 TARIFF RELATED TO AI DATA MANAGEMENT SOFTWARE AS A SERVICE SOLUTIONS
  • TABLE 7 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 8 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 PATENTS FILED, 2013–2023
  • TABLE 13 TOP 20 PATENT OWNERS IN AI DATA MANAGEMENT MARKET, 2013–2023
  • TABLE 14 LIST OF PATENTS GRANTED IN AI DATA MANAGEMENT MARKET, 2023
  • TABLE 15 INDICATIVE PRICING LEVELS OF AI DATA MANAGEMENT SOLUTIONS, BY OFFERING
  • TABLE 16 IMPACT OF PORTER’S FIVE FORCES ON AI DATA MANAGEMENT MARKET
  • TABLE 17 AI DATA MANAGEMENT MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2023–2025
  • TABLE 18 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • TABLE 19 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • TABLE 20 SHORT-TERM ROADMAP, 2023–2025
  • TABLE 21 MID-TERM ROADMAP, 2026–2028
  • TABLE 22 LONG-TERM ROADMAP, 2029–2030
  • TABLE 23 AI DATA MANAGEMENT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 24 MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 25 MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
  • TABLE 26 MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
  • TABLE 27 PLATFORM: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 28 PLATFORM: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 29 DATA COLLECTION & INGESTION: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 30 DATA COLLECTION & INGESTION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 31 DATA PREPARATION & PROCESSING: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 32 DATA PREPARATION & PROCESSING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 33 DATA WAREHOUSING: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 34 DATA WAREHOUSING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 35 DATA ANALYTICS: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 36 DATA ANALYTICS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 37 DATA GOVERNANCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 38 DATA GOVERNANCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 39 DATA QUALITY MANAGEMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 40 DATA QUALITY MANAGEMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 41 DATA LIFECYCLE MANAGEMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 42 DATA LIFECYCLE MANAGEMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 43 OTHER PLATFORM: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 44 OTHER PLATFORM: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 45 MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
  • TABLE 46 MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
  • TABLE 47 SOFTWARE TOOLS: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 48 SOFTWARE TOOLS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 49 DATA INTEGRATION & ETL: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 50 DATA INTEGRATION & ETL: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 51 DATA VISUALIZATION & REPORTING: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 52 DATA VISUALIZATION & REPORTING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 53 DATA MODELLING: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 54 DATA MODELLING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 55 DATA SECURITY & PRIVACY: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 56 DATA SECURITY & PRIVACY: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 57 DATA LABELLING AND ANNOTATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 58 DATA LABELLING & ANNOTATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 59 DATA CLEANING & NORMALIZATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 60 DATA CLEANING & NORMALIZATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 61 DATA VERSIONING: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 62 DATA VERSIONING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 63 MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 64 MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 65 SERVICE: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 66 SERVICE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 67 CONSULTING: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 68 CONSULTING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 69 SYSTEM INTEGRATION & IMPLEMENTATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 70 SYSTEM INTEGRATION & IMPLEMENTATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 71 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 72 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 73 DATA MIGRATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 74 DATA MIGRATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 75 AI CHANGE MANAGEMENT & ADOPTION: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 76 AI CHANGE MANAGEMENT & ADOPTION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 77 AI PLATFORM ADMINISTRATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 78 AI PLATFORM ADMINISTRATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 79 AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 80 AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 81 CLOUD: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 82 CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 83 ON-PREMISES: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 84 ON-PREMISES: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 85 MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
  • TABLE 86 MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
  • TABLE 87 AUDIO DATA: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 88 AUDIO DATA: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 89 SPEECH & VOICE DATA: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 90 SPEECH & VOICE DATA: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 91 IMAGE DATA: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 92 IMAGE DATA: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 93 TEXT DATA: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 94 TEXT DATA: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 95 VIDEO DATA: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 96 VIDEO DATA: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 97 MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
  • TABLE 98 MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 99 PROCESS AUTOMATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 100 PROCESS AUTOMATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 101 DATA VALIDATION & NOISE REDUCTION: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 102 DATA VALIDATION & NOISE REDUCTION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 103 DATA AUGMENTATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 104 DATA AUGMENTATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 105 EXPLORATORY DATA ANALYSIS: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 106 EXPLORATORY DATA ANALYSIS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 107 IMPUTATION & PREDICTIVE MODELING: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 108 IMPUTATION & PREDICTIVE MODELING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 109 DATA ANONYMIZATION & COMPRESSION: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 110 DATA ANONYMIZATION & COMPRESSION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 111 OTHER APPLICATIONS: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 112 OTHER APPLICATIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 113 MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 114 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 115 BFSI: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 116 BFSI: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 117 RETAIL & ECOMMERCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 118 RETAIL & ECOMMERCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 119 TELECOMMUNICATIONS: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 120 TELECOMMUNICATIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 121 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 122 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 123 MANUFACTURING: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 124 MANUFACTURING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 125 IT & ITES: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 126 IT & ITES: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 127 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 128 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 129 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 130 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 131 ENERGY & UTILITIES: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 132 ENERGY & UTILITIES: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 133 OTHER VERTICALS: MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 134 OTHER VERTICALS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 135 MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 136 MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 137 NORTH AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
  • TABLE 138 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 139 NORTH AMERICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 140 NORTH AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 141 NORTH AMERICA: MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
  • TABLE 142 NORTH AMERICA: MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
  • TABLE 143 NORTH AMERICA: MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
  • TABLE 144 NORTH AMERICA: MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
  • TABLE 145 NORTH AMERICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 146 NORTH AMERICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 147 NORTH AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 148 NORTH AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 149 NORTH AMERICA: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
  • TABLE 150 NORTH AMERICA: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
  • TABLE 151 NORTH AMERICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
  • TABLE 152 NORTH AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 153 NORTH AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 154 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 155 EUROPE: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 156 EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 157 EUROPE: MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
  • TABLE 158 EUROPE: MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
  • TABLE 159 EUROPE: MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
  • TABLE 160 EUROPE: MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
  • TABLE 161 EUROPE: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 162 EUROPE: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 163 EUROPE: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 164 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 165 EUROPE: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
  • TABLE 166 EUROPE: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
  • TABLE 167 EUROPE: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
  • TABLE 168 EUROPE: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 169 EUROPE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 170 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 171 EUROPE: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
  • TABLE 172 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 173 ASIA PACIFIC: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 174 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 175 ASIA PACIFIC: MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
  • TABLE 176 ASIA PACIFIC: MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
  • TABLE 177 ASIA PACIFIC: MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
  • TABLE 178 ASIA PACIFIC: MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
  • TABLE 179 ASIA PACIFIC: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 180 ASIA PACIFIC: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 181 ASIA PACIFIC: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 182 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 183 ASIA PACIFIC: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
  • TABLE 184 ASIA PACIFIC: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
  • TABLE 185 ASIA PACIFIC: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
  • TABLE 186 ASIA PACIFIC: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 187 ASIA PACIFIC: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 188 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 189 ASIA PACIFIC: MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION)
  • TABLE 190 ASIA PACIFIC: MARKET, BY COUNTRY/REGION, 2023–2028 (USD MILLION)
  • TABLE 191 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 192 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 193 MIDDLE EAST & AFRICA: MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
  • TABLE 194 MIDDLE EAST & AFRICA: MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
  • TABLE 195 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
  • TABLE 196 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
  • TABLE 197 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 198 MIDDLE EAST & AFRICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 199 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 200 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 201 MIDDLE EAST & AFRICA: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
  • TABLE 202 MIDDLE EAST & AFRICA: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
  • TABLE 203 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
  • TABLE 204 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 205 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 206 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 207 MIDDLE EAST & AFRICA: MARKET, BY SUB REGION, 2017–2022 (USD MILLION)
  • TABLE 208 MIDDLE EAST & AFRICA: MARKET, BY SUB REGION, 2023–2028 (USD MILLION)
  • TABLE 209 MIDDLE EAST: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 210 MIDDLE EAST: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 211 MIDDLE EAST: MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
  • TABLE 212 MIDDLE EAST: MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
  • TABLE 213 MIDDLE EAST: MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
  • TABLE 214 MIDDLE EAST: MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
  • TABLE 215 MIDDLE EAST: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 216 MIDDLE EAST: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 217 MIDDLE EAST: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 218 MIDDLE EAST: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 219 MIDDLE EAST: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
  • TABLE 220 MIDDLE EAST: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
  • TABLE 221 MIDDLE EAST: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
  • TABLE 222 MIDDLE EAST: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 223 MIDDLE EAST: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 224 MIDDLE EAST: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 225 MIDDLE EAST: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
  • TABLE 226 MIDDLE EAST: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 227 KSA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 228 KSA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 229 KSA: MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
  • TABLE 230 KSA: MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
  • TABLE 231 KSA: MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
  • TABLE 232 KSA: MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
  • TABLE 233 KSA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 234 KSA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 235 KSA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 236 KSA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 237 KSA: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
  • TABLE 238 KSA: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
  • TABLE 239 KSA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
  • TABLE 240 KSA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 241 KSA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 242 KSA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 243 LATIN AMERICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 244 LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 245 LATIN AMERICA: MARKET, BY PLATFORM, 2017–2022 (USD MILLION)
  • TABLE 246 LATIN AMERICA: MARKET, BY PLATFORM, 2023–2028 (USD MILLION)
  • TABLE 247 LATIN AMERICA: MARKET, BY SOFTWARE TOOL, 2017–2022 (USD MILLION)
  • TABLE 248 LATIN AMERICA: MARKET, BY SOFTWARE TOOL, 2023–2028 (USD MILLION)
  • TABLE 249 LATIN AMERICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 250 LATIN AMERICA: AI DATA MANAGEMENT OFFERING MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 251 LATIN AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 252 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 253 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
  • TABLE 254 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
  • TABLE 255 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
  • TABLE 256 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 257 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 258 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 259 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
  • TABLE 260 LATIN AMERICA: AI DATA MANAGEMENT MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 261 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI DATA MANAGEMENT VENDORS
  • TABLE 262 AI DATA MANAGEMENT MARKET: DEGREE OF COMPETITION
  • TABLE 263 PRODUCT FOOTPRINT (20 COMPANIES)
  • TABLE 264 VERTICAL FOOTPRINT (20 COMPANIES)
  • TABLE 265 REGION FOOTPRINT (20 COMPANIES)
  • TABLE 266 OVERALL COMPANY FOOTPRINT (20 COMPANIES)
  • TABLE 267 AI DATA MANAGEMENT MARKET: DETAILED LIST OF KEY START-UPS/SMES
  • TABLE 268 AI DATA MANAGEMENT MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
  • TABLE 269 AI DATA MANAGEMENT MARKET: PRODUCT LAUNCHES, MAY 2021–DECEMBER 2023
  • TABLE 270 AI DATA MANAGEMENT MARKET: DEALS, FEBRUARY 2021–NOVEMBER 2023
  • TABLE 271 AI DATA MANAGEMENT MARKET: OTHERS, JULY 2021–NOVEMBER 2023
  • TABLE 272 MICROSOFT: COMPANY OVERVIEW
  • TABLE 273 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 274 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 275 MICROSOFT: DEALS
  • TABLE 276 IBM: COMPANY OVERVIEW
  • TABLE 277 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 278 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 279 IBM: DEALS
  • TABLE 280 IBM: OTHERS
  • TABLE 281 AWS: COMPANY OVERVIEW
  • TABLE 282 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 283 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 284 AWS: DEALS
  • TABLE 285 AWS: OTHERS
  • TABLE 286 GOOGLE: COMPANY OVERVIEW
  • TABLE 287 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 288 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 289 GOOGLE: DEALS
  • TABLE 290 GOOGLE: OTHERS
  • TABLE 291 ORACLE: COMPANY OVERVIEW
  • TABLE 292 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 293 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 294 ORACLE: DEALS
  • TABLE 295 SALESFORCE: COMPANY OVERVIEW
  • TABLE 296 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 297 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 298 SALESFORCE: DEALS
  • TABLE 299 SAP: COMPANY OVERVIEW
  • TABLE 300 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 301 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 302 SAP: DEALS
  • TABLE 303 SAP: OTHERS
  • TABLE 304 SAS INSTITUTE: COMPANY OVERVIEW
  • TABLE 305 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 306 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 307 SAS INSTITUTE: DEALS
  • TABLE 308 HPE: COMPANY OVERVIEW
  • TABLE 309 HPE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 310 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 311 HPE: DEALS
  • TABLE 312 SNOWFLAKE: COMPANY OVERVIEW
  • TABLE 313 SNOWFLAKE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 314 SNOWFLAKE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 315 SNOWFLAKE: DEALS
  • TABLE 316 SNOWFLAKE: OTHERS
  • TABLE 317 TERADATA: COMPANY OVERVIEW
  • TABLE 318 TERADATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 319 TERADATA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 320 TERADATA: DEALS
  • TABLE 321 TERADATA: OTHERS
  • TABLE 322 INFORMATICA: COMPANY OVERVIEW
  • TABLE 323 INFORMATICA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 324 INFORMATICA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 325 INFORMATICA: DEALS
  • TABLE 326 INFORMATICA: OTHERS
  • TABLE 327 DATABRICKS: BUSINESS OVERVIEW
  • TABLE 328 DATABRICKS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 329 DATABRICKS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 330 DATABRICKS: DEALS
  • TABLE 331 DATABRICKS: OTHERS
  • TABLE 332 TIBCO SOFTWARE: BUSINESS OVERVIEW
  • TABLE 333 TIBCO SOFTWARE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 334 TIBCO SOFTWARE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 335 TIBCO SOFTWARE: DEALS
  • TABLE 336 QLIK: BUSINESS OVERVIEW
  • TABLE 337 QLIK: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 338 QLIK: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 339 QLIK: DEALS
  • TABLE 340 QLIK: OTHERS
  • TABLE 341 MASTER DATA MANAGEMENT MARKET SIZE AND GROWTH RATE, 2016–2021 (USD MILLION, Y-O-Y %)
  • TABLE 342 MASTER DATA MANAGEMENT MARKET SIZE AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y %)
  • TABLE 343 MASTER DATA MANAGEMENT MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
  • TABLE 344 MASTER DATA MANAGEMENT MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
  • TABLE 345 MASTER DATA MANAGEMENT MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
  • TABLE 346 MASTER DATA MANAGEMENT MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
  • TABLE 347 MASTER DATA MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION)
  • TABLE 348 MASTER DATA MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
  • TABLE 349 MASTER DATA MANAGEMENT MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
  • TABLE 350 MASTER DATA MANAGEMENT MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
  • TABLE 351 MASTER DATA MANAGEMENT MARKET, BY REGION, 2016–2021 (USD MILLION)
  • TABLE 352 MASTER DATA MANAGEMENT MARKET, BY REGION, 2022–2027 (USD MILLION)
  • TABLE 353 GLOBAL METADATA MANAGEMENT TOOLS MARKET SIZE AND GROWTH RATE, 2015–2020 (USD MILLION, Y-O-Y%)
  • TABLE 354 GLOBAL METADATA MANAGEMENT TOOLS MARKET SIZE AND GROWTH RATE, 2021–2026 (USD MILLION, Y-O-Y%)
  • TABLE 355 METADATA MANAGEMENT TOOLS MARKET, BY APPLICATION, 2015–2020 (USD MILLION)
  • TABLE 356 METADATA MANAGEMENT TOOLS MARKET, BY APPLICATION, 2021–2026 (USD MILLION)
  • TABLE 357 METADATA MANAGEMENT TOOLS MARKET, BY BUSINESS FUNCTION, 2015–2020 (USD MILLION)
  • TABLE 358 METADATA MANAGEMENT TOOLS MARKET, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION)
  • TABLE 359 METADATA MANAGEMENT TOOLS MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
  • TABLE 360 METADATA MANAGEMENT TOOLS MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
  • TABLE 361 METADATA MANAGEMENT TOOLS MARKET, BY VERTICAL, 2015–2020 (USD MILLION)
  • TABLE 362 METADATA MANAGEMENT TOOLS MARKET, BY VERTICAL, 2021–2026 (USD MILLION)
  • TABLE 363 METADATA MANAGEMENT TOOLS MARKET, BY COMPONENT, 2015–2020 (USD MILLION)
  • TABLE 364 METADATA MANAGEMENT TOOLS MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
  • TABLE 365 METADATA MANAGEMENT TOOLS MARKET, BY METADATA TYPE, 2015–2020 (USD MILLION)
  • TABLE 366 METADATA MANAGEMENT TOOLS MARKET, BY METADATA TYPE, 2021–2026 (USD MILLION)
  • TABLE 367 METADATA MANAGEMENT TOOLS MARKET, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
  • TABLE 368 METADATA MANAGEMENT TOOLS MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
  • TABLE 369 METADATA MANAGEMENT MARKET, BY REGION, 2015–2020 (USD MILLION)
  • TABLE 370 METADATA MANAGEMENT MARKET, BY REGION, 2021–2026 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 AI DATA MANAGEMENT MARKET: RESEARCH DESIGN
  • FIGURE 2 AI DATA MANAGEMENT MARKET: DATA TRIANGULATION
  • FIGURE 3 AI DATA MANAGEMENT MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • 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
  • 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
  • FIGURE 18 EXPONENTIAL GROWTH OF DIVERSE AND VOLUMINOUS DATASETS TO FUEL ACCURATE MODEL TRAINING AND ENHANCE ALGORITHMIC PERFORMANCE
  • FIGURE 19 PROCESS AUTOMATION SEGMENT TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 20 PLATFORM SEGMENT AND BFSI VERTICAL TO ACCOUNT FOR LARGEST SHARES IN 2023
  • FIGURE 21 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE IN 2023
  • FIGURE 22 AI DATA MANAGEMENT MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 23 ARCHITECTURE OF AI DATA MANAGEMENT SOLUTIONS
  • FIGURE 24 EVOLUTION OF AI DATA MANAGEMENT SOLUTIONS
  • FIGURE 25 AI DATA MANAGEMENT MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 26 KEY PLAYERS IN AI DATA MANAGEMENT MARKET ECOSYSTEM
  • FIGURE 27 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2013–2023
  • FIGURE 28 TOP APPLICANTS IN AI DATA MANAGEMENT MARKET, 2013–2023
  • FIGURE 29 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023
  • FIGURE 30 COMPUTER SOFTWARE IMPORTS, BY KEY COUNTRY, 2015–2022 (USD BILLION)
  • FIGURE 31 COMPUTER SOFTWARE EXPORTS, BY KEY COUNTRY, 2015–2022 (USD BILLION)
  • FIGURE 32 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, TOP 3 SOFTWARE TOOLS
  • FIGURE 33 AI DATA MANAGEMENT MARKET: PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 34 REVENUE SHIFT FOR AI DATA MANAGEMENT MARKET
  • FIGURE 35 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • FIGURE 36 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • FIGURE 37 SERVICES SEGMENT TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 38 DATA WAREHOUSING SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
  • FIGURE 39 DATA INTEGRATION & ETL SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
  • FIGURE 40 CONSULTING SERVICES SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
  • FIGURE 41 CLOUD DEPLOYMENT MODE TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 42 TEXT DATA SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 43 IMPUTATION & PREDICTIVE MODELING SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 44 BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
  • FIGURE 45 INDIA TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 46 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 47 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 48 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 49 TOP 5 PLAYERS TO DOMINATE MARKET IN LAST 5 YEARS
  • FIGURE 50 MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2022
  • FIGURE 51 AI DATA MANAGEMENT MARKET: BRAND/PRODUCT COMPARATIVE ANALYSIS
  • FIGURE 52 AI DATA MANAGEMENT MARKET: COMPANY EVALUATION MATRIX, 2022
  • FIGURE 53 AI DATA MANAGEMENT MARKET: START-UP/SME EVALUATION MATRIX, 2022
  • FIGURE 54 VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 55 YTD PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 56 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 58 AWS: COMPANY SNAPSHOT
  • FIGURE 59 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 61 SALESFORCE: COMPANY SNAPSHOT
  • FIGURE 62 SAP: COMPANY SNAPSHOT
  • FIGURE 63 HPE: COMPANY SNAPSHOT
  • FIGURE 64 SNOWFLAKE: COMPANY SNAPSHOT
  • FIGURE 65 TERADATA: COMPANY SNAPSHOT
  • FIGURE 66 INFORMATICA: COMPANY SNAPSHOT

 

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

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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)

Previous Versions of this Report

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