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市场调查报告书
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1544580

Data Fabric 市场、机会、成长动力、产业趋势分析与预测,2024-2032 年

Data Fabric Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 220 Pages | 商品交期: 2-3个工作天内

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简介目录

2024 年至 2032 年间,全球资料 Fabric 市场的资料年增长率将超过 30%。对即时资料可存取性、简化资料管理和改进资料治理的需求正在推动企业投资资料结构技术。以一个场景为例,2024 年 6 月,IBM 推出了 Cloud Pak for Data 5.0,透过沉浸式体验、远端资料平面和关係浏览器等新功能增强了其云端原生平台。此次升级提供了用于资料整合、治理和管理的高阶工具,支援强大的资料结构架构。

此外,巨量资料分析的兴起和数据驱动决策的重要性日益增加正在推动市场扩张。随着公司努力提高营运效率并将资料用作战略资产,资料结构解决方案对于现代资料架构变得至关重要。

资料结构市场根据应用程式、元件、部署模式、组织规模、行业和地区进行细分。

由于资料环境日益复杂以及对客製化持续支援的需求,从 2024 年到 2032 年,服务领域将呈现显着成长。当组织实施资料结构解决方案时,他们需要咨询、整合和託管服务等全面的服务,以确保无缝部署和最佳效能。这些服务可协助企业应对复杂的资料架构、解决特定的整合挑战,并实现符合其独特需求的客製化解决方案。人们越来越重视资料价值最大化和确保平稳运营,这推动了对服务的需求。

由于对高阶资料整合和分析功能的需求,到 2032 年,客户体验管理 (CEM) 领域将占据显着的资料结构市场份额。 Data Fabric 提供了一个用于即时聚合、管理和分析客户资料的内聚框架。此功能使组织能够提供更有针对性、更有效率的客户体验,增加对资料结构技术的依赖,以支援强大的 CEM 策略。对提高客户参与度和满意度的需求不断增长,并持续推动产业成长。

北美资料结构市场在预测期内将经历可观的成长。该地区先进的技术基础设施和数位转型措施的广泛采用是推动市场扩张的因素。北美的企业正在投资资料结构解决方案,以简化资料管理、增强资料整合并支援即时分析。此外,对数据驱动决策的日益重视以及对强大资料治理和合规性的需求正在推动市场成长。该地区领先的技术供应商和创新新创公司的存在有助于市场的动态成长。

目录

第 1 章:范围与方法

  • 市场范围和定义
  • 基本估计和计算
  • 预测参数
  • 数据来源
    • 基本的
    • 中学
      • 付费来源
      • 公共来源

第 2 章:执行摘要

第 3 章:产业洞察

  • 产业生态系统分析
  • 供应商矩阵
  • 技术与创新格局
  • 专利分析
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 对即时资料分析的需求不断增长
      • 向云端运算的转变推动了对资料管理解决方案的需求
      • 越来越多的法规和对资料隐私和安全的担忧
      • 用于监控和处理巨量资料的物联网设备不断成长
      • 数位化和人工智慧融合不断发展
    • 产业陷阱与挑战
      • 整合的复杂性
      • 效能和延迟问题
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章:竞争格局

  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章:市场估计与预测:按应用分类,2021 - 2032

  • 主要趋势
  • 诈欺侦测和安全管理
  • 治理、风险和合规管理
  • 客户体验管理
  • 销售和行销管理
  • 业务流程管理
  • 其他

第 6 章:市场估计与预测:按组成部分,2021 - 2032 年

  • 主要趋势
  • 解决方案
  • 服务

第 7 章:市场估计与预测:按部署模型,2021 - 2032 年

  • 主要趋势
  • 本地

第 8 章:市场估计与预测:按组织规模,2021 - 2032

  • 主要趋势
  • 中小企业 (SME)
  • 大型企业

第 9 章:市场估计与预测:按产业划分,2021 - 2032

  • 主要趋势
  • BFSI
  • 电信和资讯技术
  • 零售与电子商务
  • 卫生保健
  • 製造业
  • 交通物流
  • 媒体和娱乐
  • 其他的

第 10 章:市场估计与预测:按地区,2021 - 2032

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • MEA
    • 阿联酋
    • 沙乌地阿拉伯
    • 南非
    • MEA 的其余部分

第 11 章:公司简介

  • Amazon Web Services, Inc.
  • Atlan Pte. Ltd
  • Cloudera Inc.
  • Data.world, Inc.
  • Denodo Technologies
  • Dremio
  • Hewlett Packard Enterprise
  • Hitachi Vantara
  • IBM
  • Informatica Inc.
  • K2View
  • MapR Technologies
  • NetApp
  • Oracle
  • Qlik
  • SAP
  • Software AG
  • Stardog Union
  • Talend
  • TIBCO Software Inc.
简介目录
Product Code: 10111

Global Data Fabric Market will record over 30% CAGR between 2024 and 2032. Organizations are increasingly adopting data fabric solutions to address the challenges of managing and integrating disparate data sources across complex IT environments. The need for real-time data accessibility, streamlined data management, and improved data governance is pushing businesses to invest in data fabric technologies. Illustrating with a scenario, in June 2024, IBM launched Cloud Pak for Data 5.0, enhancing its cloud-native platform with new features like the Immersive Experience, remote data planes, and Relationship Explorer. The upgrade offers advanced tools for data integration, governance, and management, supporting robust data fabric architectures.

Additionally, the rise of big data analytics and the growing importance of data-driven decision-making are fueling market expansion. As companies strive to enhance operational efficiency and leverage data as a strategic asset, data fabric solutions are becoming essential for modern data architectures.

The data fabric market is segmented based on application, component, deployment mode, organization size, industry, and region.

The services segment will exhibit notable growth from 2024 to 2032, owing to the growing complexity of data environments and the need for tailored ongoing support. As organizations implement data fabric solutions, they require comprehensive services such as consulting, integration, and managed services to ensure seamless deployment and optimal performance. These services help businesses navigate the intricacies of data architecture, address specific integration challenges, and achieve customized solutions that align with their unique needs. A rising emphasis on maximizing the value of data and ensuring smooth operations is pushing the demand for services.

The customer experience management (CEM) segment will hold a remarkable data fabric market share by 2032, attributed to the need for advanced data integration and analytics capabilities. Data fabric provides a cohesive framework for aggregating, managing, and analyzing customer data in real time. This capability enables organizations to deliver more targeted and efficient customer experiences, increasing their reliance on data fabric technologies to support robust CEM strategies. The rising demand for improved customer engagement and satisfaction continues to propel the industry growth.

North America data fabric market will experience decent growth during the forecast period. The region's advanced technological infrastructure and high adoption of digital transformation initiatives are factors propelling market expansion. Businesses in North America are investing in data fabric solutions to streamline data management, enhance data integration, and support real-time analytics. Additionally, the growing emphasis on data-driven decision-making and the need for robust data governance and compliance are fueling market growth. The presence of leading technology providers and innovative startups across the region contributes to the dynamic market growth.

Table of Contents

Chapter 1 Scope and Methodology

  • 1.1 Market scope and definition
  • 1.2 Base estimates and calculations
  • 1.3 Forecast parameters
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2024 - 2032
  • 2.2 Business trends
    • 2.2.1 Total addressable market (TAM), 2024-2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Vendor matrix
  • 3.3 Technology and innovation landscape
  • 3.4 Patent analysis
  • 3.5 Key news and initiatives
  • 3.6 Regulatory landscape
  • 3.7 Impact forces
    • 3.7.1 Growth drivers
      • 3.7.1.1 Rising demand for real-time data analysis
      • 3.7.1.2 The shift to cloud computing drives demand for data management solutions
      • 3.7.1.3 Increasing regulations and concerns about data privacy and security
      • 3.7.1.4 Rising growth of IoT devices for monitoring and handling big data
      • 3.7.1.5 Rising digitalization and integration of AI
    • 3.7.2 Industry pitfalls and challenges
      • 3.7.2.1 Complexity of integration
      • 3.7.2.2 Performance and latency issues
  • 3.8 Growth potential analysis
  • 3.9 Porter's analysis
    • 3.9.1 Supplier power
    • 3.9.2 Buyer power
    • 3.9.3 Threat of new entrants
    • 3.9.4 Threat of substitutes
    • 3.9.5 Industry rivalry
  • 3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Company market share analysis
  • 4.2 Competitive positioning matrix
  • 4.3 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Application, 2021 - 2032 (USD million)

  • 5.1 Key trends
  • 5.2 Fraud detection and security management
  • 5.3 Governance, risk and compliance management
  • 5.4 Customer experience management
  • 5.5 Sales and marketing management
  • 5.6 Business process management
  • 5.7 Other

Chapter 6 Market Estimates and Forecast, By Component, 2021 - 2032 (USD million)

  • 6.1 Key trends
  • 6.2 Solution
  • 6.3 Services

Chapter 7 Market Estimates and Forecast, By Deployment Model, 2021 - 2032 (USD million)

  • 7.1 Key trends
  • 7.2 On-premises
  • 7.3 Cloud

Chapter 8 Market Estimates and Forecast, By organization size, 2021 - 2032 (USD million)

  • 8.1 Key trends
  • 8.2 Small and medium enterprises (SMEs)
  • 8.3 Large enterprises

Chapter 9 Market Estimates and Forecast, By industry, 2021 - 2032 (USD million)

  • 9.1 Key trends
  • 9.2 BFSI
  • 9.3 Telecommunications and IT
  • 9.4 Retail and e-commerce
  • 9.5 Healthcare
  • 9.6 Manufacturing
  • 9.7 Transportation and logistics
  • 9.8 Media and entertainment
  • 9.9 Others

Chapter 10 Market Estimates and Forecast, By Region, 2021 - 2032 (USD million)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 South Korea
    • 10.4.5 ANZ
    • 10.4.6 Rest of Asia Pacific
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Rest of Latin America
  • 10.6 MEA
    • 10.6.1 UAE
    • 10.6.2 Saudi Arabia
    • 10.6.3 South Africa
    • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

  • 11.1 Amazon Web Services, Inc.
  • 11.2 Atlan Pte. Ltd
  • 11.3 Cloudera Inc.
  • 11.4 Data.world, Inc.
  • 11.5 Denodo Technologies
  • 11.6 Dremio
  • 11.7 Hewlett Packard Enterprise
  • 11.8 Hitachi Vantara
  • 11.9 IBM
  • 11.10 Informatica Inc.
  • 11.11 K2View
  • 11.12 MapR Technologies
  • 11.13 NetApp
  • 11.14 Oracle
  • 11.15 Qlik
  • 11.16 SAP
  • 11.17 Software AG
  • 11.18 Stardog Union
  • 11.19 Talend
  • 11.20 TIBCO Software Inc.