세계의 인공지능(AI) 데이터 관리 시장 규모 조사 및 예측 : 배포별, 오퍼링별, 데이터 유형별, 용도별, 기술별, 업계별, 지역별 예측(2025-2035년)

The Global Artificial Intelligence (AI) Data Management Market is valued at approximately USD 31.33 billion in 2024 and is expected to grow at a staggering compound annual growth rate (CAGR) of 22.70% during the forecast period 2025-2035. As data becomes the new oil in the digitally driven economy, AI-powered data management solutions have evolved into mission-critical assets for enterprises navigating vast, complex, and fast-changing information ecosystems. These platforms are engineered to not only store and organize large datasets but to derive real-time insights, automate data governance, and seamlessly orchestrate workflows across hybrid and multi-cloud environments. Fueled by advancements in machine learning, natural language processing, and real-time analytics, AI data management is transforming how organizations extract value from information while ensuring compliance, scalability, and operational agility.

The exponential surge in unstructured and semi-structured data-originating from IoT sensors, social media platforms, e-commerce interactions, and enterprise software-is reshaping the global business landscape. Organizations are rapidly embracing AI-based data management frameworks to pre-empt anomalies, personalize user experiences, streamline supply chains, and enhance strategic forecasting. The synergy of AI and data fabric technologies enables data lineage tracking, automated metadata tagging, intelligent cataloging, and dynamic data masking, thereby fortifying security and accelerating data democratization. Moreover, businesses are leveraging these systems to break down information silos and deploy AI models more effectively across finance, healthcare, and retail industries, where real-time data quality and availability are paramount.

From a regional perspective, North America dominated the AI data management market in 2024 and is expected to maintain its leadership throughout the forecast timeline. This supremacy is underpinned by a robust ecosystem of tech giants, venture capital funding, and early adoption of AI-driven data tools across sectors like BFSI, e-commerce, and government. The U.S. continues to spearhead innovations in AI ops, automated data integration, and cloud-native architecture. Meanwhile, Asia Pacific is set to witness the fastest growth, primarily due to aggressive digital transformation efforts in emerging economies such as China, India, and Southeast Asia. These nations are ramping up AI investments, nurturing tech talent pools, and initiating government-backed digital economy programs, which collectively fuel the demand for advanced data management capabilities. Europe is also making significant strides, driven by stringent data privacy regulations such as GDPR, which prompt the adoption of AI systems capable of ensuring compliance and audit-readiness.

Major market players included in this report are:

• IBM Corporation
• Oracle Corporation
• Amazon Web Services, Inc.
• Microsoft Corporation
• Google LLC
• SAP SE
• Snowflake Inc.
• Informatica Inc.
• Teradata Corporation
• SAS Institute Inc.
• Databricks Inc.
• Cloudera, Inc.
• Talend S.A.
• Hewlett Packard Enterprise (HPE)
• Salesforce, Inc.

Global Artificial Intelligence (AI) Data Management Market Report Scope:

• Historical Data - 2023, 2024
• Base Year for Estimation - 2024
• Forecast period - 2025-2035
• Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
• Customization Scope - Free report customization (equivalent up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

By Deployment:

• On-Premises
• Cloud-Based

By Offering:

• Platform
• Services

By Data Type:

• Structured
• Semi-Structured
• Unstructured

By Application:

• Data Integration & ETL
• Data Governance
• Data Quality
• Data Security
• Data Preparation
• Others

By Technology:

• Machine Learning
• Natural Language Processing
• Computer Vision
• Predictive Analytics

By Vertical:

• BFSI
• Retail & E-commerce
• Healthcare
• IT & Telecommunications
• Manufacturing
• Government & Public Sector
• Energy & Utilities
• Others

By Region:

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Spain
• Italy
• Rest of Europe
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• Rest of Asia Pacific
• Latin America
• Brazil
• Mexico
• Middle East & Africa
• UAE
• Saudi Arabia
• South Africa
• Rest of Middle East & Africa

Key Takeaways:

• Market Estimates & Forecast for 10 years from 2025 to 2035.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Artificial Intelligence (AI) Data Management Market Report Scope & Methodology

• 1.1. Research Objective
• 1.2. Research Methodology
  • 1.2.1. Forecast Model
  • 1.2.2. Desk Research
  • 1.2.3. Top-Down and Bottom-Up Approach
• 1.3. Research Attributes
• 1.4. Scope of the Study
  • 1.4.1. Market Definition
  • 1.4.2. Market Segmentation
• 1.5. Research Assumption
  • 1.5.1. Inclusion & Exclusion
  • 1.5.2. Limitations
  • 1.5.3. Years Considered for the Study

Chapter 2. Executive Summary

• 2.1. CEO/CXO Standpoint
• 2.2. Strategic Insights
• 2.3. ESG Analysis
• 2.4. Key Findings

Chapter 3. Global AI Data Management Market Forces Analysis

• 3.1. Market Forces Shaping The Global AI Data Management Market 2024-2035
• 3.2. Drivers
  • 3.2.1. Exponential Growth of Unstructured and Semi-Structured Data
  • 3.2.2. Demand for Automated Data Governance and Quality
• 3.3. Restraints
  • 3.3.1. Integration Complexity Across Hybrid Environments
  • 3.3.2. Data Privacy, Security and Compliance Challenges
• 3.4. Opportunities
  • 3.4.1. Adoption of Hybrid and Multi-Cloud Architectures
  • 3.4.2. Advances in Automated Metadata and Data Fabric Technologies

Chapter 4. Global AI Data Management Industry Analysis

• 4.1. Porter's Five Forces Model
  • 4.1.1. Bargaining Power of Buyer
  • 4.1.2. Bargaining Power of Supplier
  • 4.1.3. Threat of New Entrants
  • 4.1.4. Threat of Substitutes
  • 4.1.5. Competitive Rivalry
• 4.2. Porter's Five Forces Forecast Model 2024-2035
• 4.3. PESTEL Analysis
  • 4.3.1. Political
  • 4.3.2. Economical
  • 4.3.3. Social
  • 4.3.4. Technological
  • 4.3.5. Environmental
  • 4.3.6. Legal
• 4.4. Top Investment Opportunities
• 4.5. Top Winning Strategies 2025
• 4.6. Market Share Analysis 2024-2025
• 4.7. Global Pricing Analysis and Trends 2025
• 4.8. Analyst Recommendation & Conclusion

Chapter 5. Global AI Data Management Market Size & Forecasts by Deployment 2025-2035

• 5.1. Market Overview
• 5.2. Global AI Data Management Market Performance - Potential Analysis 2025
• 5.3. On-Premises
  • 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
  • 5.3.2. Market Size Analysis, by Region, 2025-2035
• 5.4. Cloud-Based
  • 5.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
  • 5.4.2. Market Size Analysis, by Region, 2025-2035

Chapter 6. Global AI Data Management Market Size & Forecasts by Offering 2025-2035

• 6.1. Market Overview
• 6.2. Global AI Data Management Market Performance - Potential Analysis 2025
• 6.3. Platform
  • 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
  • 6.3.2. Market Size Analysis, by Region, 2025-2035
• 6.4. Services
  • 6.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
  • 6.4.2. Market Size Analysis, by Region, 2025-2035

Chapter 7. Global AI Data Management Market Size & Forecasts by Data Type 2025-2035

• 7.1. Market Overview
• 7.2. Global AI Data Management Market Performance - Potential Analysis 2025
• 7.3. Structured
• 7.4. Semi-Structured
• 7.5. Unstructured

Chapter 8. Global AI Data Management Market Size & Forecasts by Application 2025-2035

• 8.1. Market Overview
• 8.2. Global AI Data Management Market Performance - Potential Analysis 2025
• 8.3. Data Integration & ETL
• 8.4. Data Governance
• 8.5. Data Quality
• 8.6. Data Security
• 8.7. Data Preparation
• 8.8. Others

Chapter 9. Global AI Data Management Market Size & Forecasts by Technology 2025-2035

• 9.1. Market Overview
• 9.2. Global AI Data Management Market Performance - Potential Analysis 2025
• 9.3. Machine Learning
• 9.4. Natural Language Processing
• 9.5. Computer Vision
• 9.6. Predictive Analytics

Chapter 10. Global AI Data Management Market Size & Forecasts by Vertical 2025-2035

• 10.1. Market Overview
• 10.2. Global AI Data Management Market Performance - Potential Analysis 2025
• 10.3. BFSI
• 10.4. Retail & E-commerce
• 10.5. Healthcare
• 10.6. IT & Telecommunications
• 10.7. Manufacturing
• 10.8. Government & Public Sector
• 10.9. Energy & Utilities
• 10.10. Others

Chapter 11. Global AI Data Management Market Size & Forecasts by Region 2025-2035

• 11.1. Regional Market Snapshot
• 11.2. Top Leading & Emerging Countries
• 11.3. North America AI Data Management Market
  • 11.3.1. U.S. AI Data Management Market
  • 11.3.2. Canada AI Data Management Market
• 11.4. Europe AI Data Management Market
  • 11.4.1. UK
  • 11.4.2. Germany
  • 11.4.3. France
  • 11.4.4. Spain
  • 11.4.5. Italy
  • 11.4.6. Rest of Europe
• 11.5. Asia Pacific AI Data Management Market
  • 11.5.1. China
  • 11.5.2. India
  • 11.5.3. Japan
  • 11.5.4. Australia
  • 11.5.5. South Korea
  • 11.5.6. Rest of Asia Pacific
• 11.6. Latin America AI Data Management Market
  • 11.6.1. Brazil
  • 11.6.2. Mexico
• 11.7. Middle East & Africa AI Data Management Market
  • 11.7.1. UAE
  • 11.7.2. Saudi Arabia
  • 11.7.3. South Africa
  • 11.7.4. Rest of Middle East & Africa

Chapter 12. Competitive Intelligence

• 12.1. Top Market Strategies
• 12.2. IBM Corporation
  • 12.2.1. Company Overview
  • 12.2.2. Key Executives
  • 12.2.3. Company Snapshot
  • 12.2.4. Financial Performance (Subject to Data Availability)
  • 12.2.5. Product/Services Port
  • 12.2.6. Recent Development
  • 12.2.7. Market Strategies
  • 12.2.8. SWOT Analysis
• 12.3. Oracle Corporation
• 12.4. Amazon Web Services, Inc.
• 12.5. Microsoft Corporation
• 12.6. Google LLC
• 12.7. SAP SE
• 12.8. Snowflake Inc.
• 12.9. Informatica Inc.
• 12.10. Teradata Corporation
• 12.11. SAS Institute Inc.
• 12.12. Databricks Inc.
• 12.13. Cloudera, Inc.
• 12.14. Talend S.A.
• 12.15. Hewlett Packard Enterprise (HPE)
• 12.16. Salesforce, Inc.