封面
市场调查报告书
商品编码
1755604

全球人工智慧 (AI) 资料管理市场规模研究与预测,按部署、产品、资料类型、应用、技术、垂直和区域预测 2025-2035

Global Artificial Intelligence (AI) Data Management Market Size Study & Forecast, by Deployment, Offering, Data Type, Application, Technology, Vertical and Regional Forecasts 2025-2035

出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2024 年全球人工智慧 (AI) 资料管理市场价值约为 313.3 亿美元,预计在 2025-2035 年预测期内将以惊人的 22.70% 的年复合成长率(CAGR) 增长。随着资料成为数位驱动型经济中的新石油,由人工智慧驱动的资料管理解决方案已发展成为企业在庞大、复杂且快速变化的资讯生态系统中导航的关键任务资产。这些平台不仅可以储存和组织大型资料集,还可以获得即时洞察、自动化资料治理以及在混合和多云环境中无缝协调工作流程。在机器学习、自然语言处理和即时分析技术的推动下,人工智慧资料管理正在改变组织从资讯中提取价值的方式,同时确保合规性、可扩展性和营运敏捷性。

源自物联网感测器、社群媒体平台、电商互动和企业软体的非结构化和半结构化资料呈指数级增长,正在重塑全球商业格局。企业正迅速采用以人工智慧为基础的资料管理框架,以预防异常、个人化使用者体验、简化供应链并增强策略预测。人工智慧与资料结构技术的协同作用,实现了资料沿袭追踪、元资料自动标记、智慧编目和动态资料脱敏,从而增强了安全性并加速了资料民主化。此外,企业正在利用这些系统打破资讯孤岛,并在金融、医疗保健和零售等即时资料品质和可用性至关重要的行业中更有效地部署人工智慧模型。

从区域角度来看,北美在 2024 年主导了人工智慧资料管理市场,预计在整个预测期内仍将保持领先地位。这种优势得益于强大的科技巨头生态系统、创投资金以及 BFSI、电子商务和政府等领域对人工智慧驱动资料工具的早期采用。美国持续引领人工智慧营运、自动化资料整合和云端原生架构的创新。同时,亚太地区预计将见证最快的成长,这主要得益于中国、印度和东南亚等新兴经济体积极的数位转型努力。这些国家正在加大人工智慧投资,培养科技人才库,并启动政府支持的数位经济计划,这些共同推动了对高阶资料管理功能的需求。在 GDPR 等严格的资料隐私法规的推动下,欧洲也取得了重大进展,这些法规促使采用能够确保合规性和审计准备就绪的人工智慧系统。

本研究旨在确定近年来不同细分市场和国家的市场规模,并预测未来几年的市场规模。报告旨在结合研究对象国家/地区的产业定性和定量分析。报告还提供了决定市场未来成长的关键因素(例如驱动因素和挑战)的详细资讯。此外,报告还涵盖了微观市场中利害关係人的潜在投资机会,以及对竞争格局和主要参与者产品供应的详细分析。市场区隔和子细分市场的详细解释如下:

目录

第一章:全球人工智慧(AI)资料管理市场报告范围与方法

  • 研究目标
  • 研究方法
    • 预测模型
    • 案头研究
    • 自上而下和自下而上的方法
  • 研究属性
  • 研究范围
    • 市场定义
    • 市场区隔
  • 研究假设
    • 包容与排斥
    • 限制
    • 研究考虑的年份

第二章:执行摘要

  • CEO/CXO 立场
  • 战略洞察
  • ESG分析
  • 主要发现

第三章:全球人工智慧资料管理市场力量分析

  • 塑造全球人工智慧资料管理市场的市场力量(2024-2035)
  • 驱动程式
    • 非结构化和半结构化资料的指数增长
    • 对自动化资料治理和品质的需求
  • 限制
    • 跨混合环境的整合复杂性
    • 资料隐私、安全和合规性挑战
  • 机会
    • 采用混合和多云端架构
    • 自动化元资料和资料结构技术的进步

第四章:全球人工智慧资料管理产业分析

  • 波特五力模型
    • 买方议价能力
    • 供应商的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手
  • 波特五力预测模型(2024-2035)
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 科技
    • 环境的
    • 合法的
  • 最佳投资机会
  • 最佳制胜策略(2025年)
  • 市占率分析(2024-2025)
  • 2025年全球定价分析与趋势
  • 分析师建议与结论

第五章:全球人工智慧资料管理市场规模及预测:按部署 - 2025-2035

  • 市场概览
  • 全球人工智慧资料管理市场表现-潜力分析(2025年)
  • 本地
    • 2024-2035 年主要国家细分估计与预测
    • 2025 年至 2035 年各地区市场规模分析
  • 基于云端
    • 2024-2035 年主要国家细分估计与预测
    • 2025 年至 2035 年各地区市场规模分析

第六章:全球人工智慧资料管理市场规模及预测:依产品分类 - 2025-2035

  • 市场概览
  • 全球人工智慧资料管理市场表现-潜力分析(2025年)
  • 平台
    • 2024-2035 年主要国家细分估计与预测
    • 2025 年至 2035 年各地区市场规模分析
  • 服务
    • 2024-2035 年主要国家细分估计与预测
    • 2025 年至 2035 年各地区市场规模分析

第七章:全球人工智慧资料管理市场规模及预测:按资料类型 - 2025-2035

  • 市场概览
  • 全球人工智慧资料管理市场表现-潜力分析(2025年)
  • 结构化
  • 半结构化
  • 非结构化

第 8 章:全球人工智慧资料管理市场规模与预测:按应用划分 - 2025 年至 2035 年

  • 市场概览
  • 全球人工智慧资料管理市场表现-潜力分析(2025年)
  • 资料整合和 ETL
  • 资料治理
  • 数据品质
  • 资料安全
  • 资料准备
  • 其他的

第九章:全球人工智慧资料管理市场规模及预测:依技术分类 - 2025-2035

  • 市场概览
  • 全球人工智慧资料管理市场表现-潜力分析(2025年)
  • 机器学习
  • 自然语言处理
  • 电脑视觉
  • 预测分析

第 10 章:全球 AI 资料管理市场规模与预测:垂直产业 - 2025 年至 2035 年

  • 市场概览
  • 全球人工智慧资料管理市场表现-潜力分析(2025年)
  • 金融服务业
  • 零售与电子商务
  • 卫生保健
  • 资讯科技和电信
  • 製造业
  • 政府和公共部门
  • 能源与公用事业
  • 其他的

第 11 章:全球人工智慧资料管理市场规模与预测:按地区 - 2025 年至 2035 年

  • 区域市场概况
  • 领先国家和新兴国家
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 亚太其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
  • 中东和非洲
    • 阿联酋
    • 沙乌地阿拉伯
    • 南非
    • 中东和非洲其他地区

第 12 章:竞争情报

  • 顶级市场策略
  • IBM 公司
    • 公司概况
    • 主要高阶主管
    • 公司概况
    • 财务表现(取决于数据可用性)
    • 产品/服务端口
    • 近期发展
    • 市场策略
    • SWOT分析
  • 甲骨文公司
  • 亚马逊网路服务公司
  • 微软公司
  • 谷歌有限责任公司
  • SAP SE
  • 雪花公司
  • Informatica公司
  • Teradata 公司
  • SAS 研究所
  • Databricks公司
  • Cloudera公司
  • 塔伦德公司
  • 惠普企业(HPE)
  • Salesforce公司
简介目录

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.