全球 Data Fabric 市场规模：按组件、按应用、按组织规模、按地区、范围和预测

Data Fabric 市场规模与预测

2024 年 Data Fabric 市场规模为 25.5 亿美元，预计 2024 年至 2031 年复合年增长率为 25.10%，到 2031 年将达到 130.2 亿美元。Data Fabric 是一种变革性的资料管理方法，它提供了一个统一、可扩展且安全的平台来集中组织的资料资产。Data Fabric 充当全面的解决方案，将不同的资料来源（无论是本地、基于云端还是第三方系统）整合到单一内聚环境中。这种整合促进了不同系统和应用程式之间的无缝资料流，使企业能够更有效率地管理资料。资料结构的核心是提供集中管理并简化资料资产监控和治理。透过集中资料架构和技术，企业可以实施严格的资料治理，确保整个企业的资料品质、一致性和安全性。

这种集中式方法增强了资料完整性并支援遵守监管标准。

可扩展性是 Data Fabric 解决方案的关键特性，旨在处理现代资料环境中不断增长的资料量和复杂性。随着您的组织的发展和资料需求的发展，您的资料结构可以适应这些变化，而不会影响效能或安全性。

此外，资料结构增强了可存取性，允许授权使用者和应用程式安全地从集中式平台存取资料。这确保了资料在整个组织内可用且可操作，从而推动更好的决策和营运效率。

互通性是资料结构的另一个主要优势。透过确保与各种资料格式、技术和系统的兼容性，资料结构支援多功能和整合的资料生态系统。此功能使企业能够利用不同的资料来源和工具来最大化其资料资产的价值，同时最大限度地减少整合挑战。

全球 Data Fabric 市场动态

塑造全球资料结构市场的关键市场动态

主要市场推动因素

数据生成：

企业资料的数量、种类和复杂性不断增加。由于感测器和摄影机等连接设备的激增，数据产生的激增极大地扩大了企业需要管理和分析的数据类型的范围。随着企业努力从不断增长的资料池中提取有价值的见解，对资料结构解决方案的需求正在加速成长。

人工智慧:

将人工智慧 (AI) 和机器学习 (ML) 整合到资料整合工具中正在增强资料结构解决方案的功能，提供更高效的资料管理和更深入的分析见解。

结构化和非结构化资料：

结构化和非结构化资料在零售、电子商务、电信、银行、医疗服务和BFSI（银行、金融服务和保险）等各个行业中变得越来越普遍，从而催生了高效的即时数据分析和管理解决方案。

数位平台：

行业特定的要求以及社交媒体网路、线上应用程式和数位平台产生的数据的激增进一步推动了市场的成长。

对业务敏捷性的需求不断增长：

对跨不同组织孤岛的业务敏捷性以及安全且准确的资料传输的需求日益增长，正在推动资料结构解决方案的采用。这些解决方案提供了一个统一的资料存取门户，其中包括资料虚拟化、无缝资料移动和安全的应用程式到应用程式连接。

主要挑战

缺乏数据管理

资料管理是财务、人力资源、销售和营运等许多业务领域的支柱，是资料驱动型业务的关键要素。然而，目前的资料结构设计通常不包括有效追踪和管理过去资料事务的机制。这种监督给依赖历史资料进行分析、建模和决策的资料科学家、业务分析师和机器学习工程师带来了挑战。

技能差距

资料结构解决方案的成功实施和管理需要精通资料工程、资料科学和云端运算等先进技术的人员。然而，拥有有效实施和管理这些复杂系统所需专业知识的专业人员严重短缺。

互通性挑战

：在不同平台、技术和资料来源之间实现无缝互通性仍然是资料结构市场中的一项艰鉅挑战。数据结构解决方案必须整合和协调来自不同环境的数据，但可能会出现相容性问题，从而降低这些系统的有效性和效率。这些互通性问题可能会导致资料管理流程碎片化，从而限制资料结构解决方案的实用性和潜力。

专业知识要求

：部署和管理资料结构解决方案需要多个领域的专业知识和技能，包括资料工程、资料科学和云端基础架构。这种对专业知识的需求可能是一个主要的阻碍因素，要求公司投资于培训和僱用熟练的专业人员。

数据孤岛

：克服资料孤岛并在组织内创建真正的资料驱动文化也是资料结构市场的关键挑战。未能解决资料孤岛问题可能会限制资料结构解决方案的有效性，因为分散的资料环境会破坏创建组织资料的统一、全面视图的目标。

主要趋势

对资料可存取性和业务敏捷性的需求不断增长

：企业越来越优先考虑能够有效组织资料并提供对关键资讯的即时存取的解决方案。传统的大数据平台虽然功能强大，但正在被专注于快速资料存取的设计（例如资料结构）所补充，有时甚至被取代。这种转变是由于企业需要快速存取和利用数据来做出明智的决策并提高整体敏捷性和回应能力而推动的。

透过 AI 和 ML 整合增强洞察力

：将人工智慧 (AI) 和机器学习 (ML) 演算法整合到资料结构解决方案中是一种日益增长的趋势，它将改变组织从资料中获取见解的方式。

智慧自动化

：资料结构越来越多地融入人工智慧驱动的自动化，以简化资料管理流程。传统上需要手工劳动的任务，例如资料发现、摄取、清理和治理，现在可以使用智慧资料结构解决方案来实现自动化。这种自动化减少了资料管理所需的时间和资源，提高了准确性并提高了营运效率。随着企业寻求最大限度地提高生产力并降低资料管理的复杂性，资料结构中的智慧自动化趋势预计将加速并进一步推动市场成长。

与云端服务集成

这些解决方案与资料湖、资料仓储和进阶分析工具等云端服务无缝整合。资料结构充当统一层，连接混合和多云环境中的不同资料来源，使企业能够全面控制其资料。这种整合提供了一个全面的资料管理平台，支援从储存和处理到分析和治理的各种资料需求。随着企业迁移到云端并采用云端原生架构，资料结构整合和支援云端服务的能力将在云端服务的采用和市场扩张中发挥关键作用。

目录

第1章简介

• 市场定义
• 市场细分
• 调查方法

第 2 章执行摘要

• 主要发现
• 市场概况
• 市集亮点

第3章市场概况

• 市场规模和成长潜力
• 市场趋势
• 市场驱动力
• 市场制约因素
• 市场机会
• 波特五力分析

第 4 章 Data Fabric 市场：依组件分类

• 软体
• 服务

第 5 章 Data Fabric 市场：依部署类型

• 本地
• 云端
• 混合

第 6 章 Data Fabric 市场：依组织规模

• 大公司
• 中小企业

第7章 区域分析 区域分析

• 北美
• 美国
• 加拿大
• 墨西哥
• 欧洲
• 英国
• 德国
• 法国
• 义大利
• 亚太地区
• 中国
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中东/非洲
• 南非
• 沙乌地阿拉伯
• 阿拉伯联合酋长国

第8章市场动态

• 市场驱动力
• 市场制约因素
• 市场机会
• COVID-19 的市场影响

第9章 竞争格局

• 大公司
• 市场占有率分析

第10章 公司简介

• IBM
• Oracle
• SAP
• Microsoft
• Informatica
• Talend
• Denodo
• Atlan
• Cinchy
• Dell Technologies
• TIBCO Software

第11章市场前景与机遇

• 新兴技术
• 未来市场趋势
• 投资机会

第12章附录

• 缩写表
• 来源和参考文献

Data Fabric Market Size And Forecast

Data Fabric Market size was valued at USD 2.55 Billion in 2024 and is projected to reach USD 13.02 Billion by 2031, growing at a CAGR of 25.10% from 2024 to 2031. The data fabric is a transformative approach to data management, offering a unified, scalable, and secure platform that centralizes an organization's data assets. A data fabric serves as a comprehensive solution, integrating various data sources whether on-premises, cloud-based, or from third-party systems into a single cohesive environment. This integration facilitates seamless data flow across disparate systems and applications, enabling organizations to manage their data more efficiently and effectively. At its core, a data fabric provides centralized management, which simplifies the oversight and governance of data assets. By unifying data architecture and technology, it enables organizations to enforce rigorous data governance practices, ensuring data quality, consistency, and security across the enterprise.

This centralized approach enhances data integrity and supports compliance with regulatory standards.

Scalability is a key feature of data fabric solutions, designed to handle growing data volumes and the increasing complexity of modern data environments. As organizations expand and their data needs evolve, data fabrics can adapt to accommodate these changes without compromising performance or security.

Additionally, data fabrics offer enhanced accessibility, allowing authorized users and applications to securely access data from a centralized platform. This ensures that data remains available and actionable across the organization, fostering better decision-making and operational efficiency.

Interoperability is another critical advantage of data fabrics. By ensuring compatibility with a wide range of data formats, technologies, and systems, data fabrics support a versatile and integrated data ecosystem. This capability allows organizations to leverage diverse data sources and tools, maximizing the value of their data assets while minimizing integration challenges.

Global Data Fabric Market Dynamics

The key market dynamics that are shaping the global data fabric market include:

Key Market Drivers

Data Generation:

The increasing volume, diversity, and complexity of corporate data. The surge in data generation, driven by the proliferation of connected devices such as sensors and cameras, has significantly expanded the range of data types businesses need to manage and analyze. As companies strive to extract valuable insights from this growing data pool, the demand for data fabric solutions is accelerating.

Artificial Intelligence:

The integration of Artificial Intelligence (AI) and Machine Learning (ML) into data integration tools is enhancing the capabilities of data fabric solutions, offering more efficient data management and deeper analytical insights.

Structured and Unstructured Data:

The increasing prevalence of structured and unstructured data across various industries, including retail, e-commerce, telecommunications, banking, medical services, and BFSI (Banking, Financial Services, and Insurance) is surging demand for efficient real-time data analysis and management solutions.

Digital Platforms:

The industry-specific requirements, and the proliferation of data generated from social media networks, online applications, and digital platforms further fuel market growth

Growing Need for Business Agility:

The increasing need for business agility and the secure, accurate transfer of data across different organizational silos are driving the adoption of data fabric solutions. These solutions offer a unified data access portal that encompasses data virtualization, seamless data movement, and secure application-to-application connections.

Key Challenges

Lack of Data Management

: Data management is a critical element in data-driven businesses, serving as the backbone for various operational areas, including finance, human resources, sales, and operations. However, current data fabric designs often fail to incorporate mechanisms for tracking and managing historical data transactions effectively. This oversight creates challenges for data scientists, business analysts, and machine learning engineers who rely on historical data for analysis, modeling, and decision-making.

Skills Gap

: The successful implementation and management of data fabric solutions require a workforce proficient in advanced technologies, including data engineering, data science, and cloud computing. However, there is a noticeable shortage of professionals with the necessary expertise to effectively deploy and manage these complex systems.

Interoperability Challenges

: Achieving seamless interoperability across various platforms, technologies, and data sources remains a formidable challenge in the data fabric market. Data fabric solutions must integrate and harmonize data from diverse environments, but compatibility issues can arise, reducing the effectiveness and efficiency of these systems. These interoperability problems can lead to fragmented data management processes, limiting the utility and potential of data fabric solutions.

Specialized Expertise Requirement

: The deployment and management of data fabric solutions demand specialized knowledge and skills in multiple domains, including data engineering, data science, and cloud infrastructure. This need for specialized expertise can be a significant constraint, as it requires businesses to invest in training or hiring skilled professionals.

Data Silos

: Overcoming data silos and fostering a truly data-driven culture within organizations is another significant challenge in the data fabric market. Failure to address data silos can limit the effectiveness of data fabric solutions, as fragmented data environments undermine the goal of creating a unified, comprehensive view of organizational data.

Key Trends

Increasing Demand for Data Accessibility and Business Agility

: Businesses are increasingly prioritizing solutions that organize data effectively and provide immediate access to critical information. Traditional big data platforms, while powerful, are being complemented and sometimes replaced by designs that emphasize rapid data accessibility, such as data fabric. This shift is driven by the need for businesses to quickly access and utilize data to make informed decisions, enhancing overall agility and responsiveness.

Enhanced Insights Through AI and ML Integration

: The integration of artificial intelligence (AI) and machine learning (ML) algorithms into data fabric solutions is a growing trend that is transforming how organizations derive insights from their data.

Intelligent Automation

: Data fabrics are increasingly incorporating AI-powered automation to streamline data management processes. Tasks such as data discovery, ingestion, cleansing, and governance, which traditionally required significant manual effort, can now be automated using intelligent data fabric solutions. This automation reduces the time and resources needed to manage data, improves accuracy, and enhances operational efficiency. As organizations seek to maximize productivity and reduce the complexity of data management, the trend toward intelligent automation within data fabrics is expected to accelerate, further driving market growth.

Integration with Cloud Services

: The seamless integration of these solutions with cloud services, including data lakes, data warehouses, and advanced analytics tools. Data fabrics act as a unifying layer that connects disparate data sources across hybrid and multi-cloud environments, enabling organizations to manage their data holistically. This integration provides a comprehensive data management platform that supports diverse data needs, from storage and processing to analytics and governance. As businesses continue to migrate to the cloud and adopt cloud-native architectures, the ability of data fabrics to integrate with and enhance cloud services will play a crucial role in their widespread adoption and market expansion.

What's inside a VMR industry report?

Our reports include actionable data and forward-looking analysis that help you craft pitches, create business plans, build presentations and write proposals.

Global Data Fabric Market Regional Analysis

Here is a more detailed regional analysis of the global data fabric market:

North America

North America holds a dominant position in the global data fabric market, driven by the robust presence of numerous companies offering advanced data management solutions, particularly in the United States.

The region has long been a pioneer in the adoption of cutting-edge technologies, which has solidified its leadership in this market. The U.S. market, in particular, benefits from the concentration of a significant number of data centers and the growing collection of data from unstructured sources, which are critical factors propelling market growth.

The United States serves as the epicenter for data management innovation, with a high density of solution providers and a strong emphasis on digital infrastructure. The country's economy is resilient, and recent substantial investments in digital infrastructure have further strengthened its position in the data fabric market.

The rapid adoption of new and innovative technologies in the region creates a fertile environment for vendors, offering significant opportunities to capitalize on the increasing volume of information generated by IT devices.

In addition, the U.S. market is bolstered by strict laws and regulations aimed at protecting data, which have prompted organizations to seek out advanced data management solutions like data fabric. This regulatory environment, coupled with the exponential growth in data generated by various IT devices, drives the demand for sophisticated data fabric solutions.

Furthermore, the region is witnessing substantial investments in key technologies such as artificial intelligence (AI), the Internet of Things (IoT), and big data, which are expected to further enhance the capabilities of data fabric solutions and contribute to market expansion.

As organizations in the region generate and manage increasingly large volumes of data, the demand for innovative data fabric solutions will only intensify, further consolidating North America's leadership in this critical market.

Asia Pacific

Asia Pacific is anticipated to witness the fastest growth in the global fabric market during the forecast period driven by the rapidly transforming the region's digital landscape. Among the most significant drivers is the accelerated construction of data centers across APAC, coupled with a widespread shift toward digitalization.

As organizations in the region increasingly adopt digital technologies, the demand for sophisticated data management solutions, such as data fabric, is expected to surge.

China, in particular, plays a pivotal role in this growth trajectory. As the second-largest market for data centers globally, behind only the United States, China is at the forefront of this digital transformation.

The country's rapid expansion in data center infrastructure is accompanied by a growing emphasis on Internet of Things (IoT) adoption and advancements in analytics technologies. These developments are setting the stage for deeper penetration of data fabric solutions across the region.

Moreover, China's big data sector is expected to maintain stable growth in the coming years, driven by both government initiatives and private sector investments in digital infrastructure.

The country's strategic focus on enhancing its digital economy, and leadership in data center adoption, positions China as a key market for data fabric solutions.

As China continues to invest in and expand its digital capabilities, the adoption of data fabric technologies is likely to accelerate, further boosting market growth.

Global Data Fabric Market: Segmentation Analysis

The Global Data Fabric Market is segmented based on Component, Application, Organization Size, And Geography.

Data Fabric Market, By Component

• Software
• Services

Based on Component, the Global Data Fabric Market is bifurcated into Software and Services. The software segment dominates in the global data fabric market by providing core functionality through essential components like data integration tools, metadata management systems, and data governance platforms. These software solutions offer significant customization and flexibility, enabling organizations to tailor data fabric implementations to meet their specific needs, which has led to their widespread adoption and dominance in the market.

Data Fabric Market, By Application

• Fraud Detection and Security Management
• Customer Experience and Compliance Management
• Sales and Marketing
• Business Process Management

Based on the Application, the Global Data Fabric Market is bifurcated into Fraud Detection and Security Management, Customer Experience and Compliance Management, Sales and Marketing, and Business Process Management. The fraud detection and security management segment accounted for the largest share of revenue in the global data fabric market. A robust data fabric serves as a foundational element within a cybersecurity ecosystem, enhancing business data sets. By integrating data fabric, organizations can significantly improve the efficiency of their business processes while bolstering data protection through effective defensive strategies.

Data Fabric Market, By Organization Size

• Large Enterprises
• Small and Medium-sized Enterprises (SMEs)

Based on Organization Size, the Global Data Fabric Market is bifurcated into Large Enterprises, Small and Medium-sized Enterprises (SMEs). The large enterprises segment dominates the global data fabric market. Larger companies are increasingly relying on vast amounts of digital data, and this trend is only growing. These organizations often integrate and manage their data across various systems, creating a need for solutions that can maximize the value of the immense data stored within their structures. With the introduction of advanced data management technologies such as data pipelining, data governance, data orchestration, and data cataloging, there is a rising demand for designs that can effectively harness and optimize this data.

Data Fabric Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the World

Based on Geography, the Global Data Fabric Market is classified into North America, Europe, Asia Pacific, and the Rest of the World. North America holds a commanding position in the global data fabric market, driven by the robust presence of numerous companies offering advanced data management solutions, particularly in the United States. The region has long been a pioneer in the adoption of cutting-edge technologies, which has solidified its leadership in this market. The U.S. market, in particular, benefits from the concentration of a significant number of data centers and the growing collection of data from unstructured sources, which are critical factors propelling market growth.

Key Players

• The "Global Data Fabric Market" study report will provide valuable insight with an emphasis on the global market including some of the major players such as
• IBM, Oracle, SAP, Microsoft, Informatica, Talend, Denodo, Atlan, Cinchy, Dell Technologies, TIBCO Software.
• This section offers in-depth analysis through a company overview, position analysis, the regional and industrial footprint of the company, and the ACE matrix for insightful competitive analysis. The section also provides an exhaustive analysis of the financial performances of mentioned players in the given market.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

• Global Data Fabric Market Recent Developments
• In June 2023, CloudFabrix, the creator of the Robotic Data Automation Fabric (RDAF), announced the launch of Data Fabric for Observability, which integrates with the Cisco Observability Platform's Dynamic Data Ingestion and Automation Service. CloudFabrix also validated the service's use in several Cisco Observability Platform application parts.
• In May 2023, Sonata Software announced a collaboration with Microsoft to debut Microsoft Fabrics at the Microsoft Build event in Seattle, United States, Microsoft Fabrics is a unified, comprehensive analytics platform that brings together all of the analytics tools and data that an organization requires. Businesses will be able to manage their data in one place and access a variety of analytics experiences.
• In June 2022, HPE announced the launch of HPE GreenLake for data fabric, a service that combined the industry's first hybrid analytics with HPE GreenLake software, hardware, and services. This service keeps IT in control by providing a single view to monitor and manage distributed data.

TABLE OF CONTENTS

1. Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Data Fabric Market, By Component

• Software
• Services

5. Data Fabric Market, By Deployment Mode

• On-Premises
• Cloud
• Hybrid

6. Data Fabric Market, By Organization Size

• Large Enterprises
• Small and Medium-sized Enterprises (SMEs)

7. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

8. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

9. Competitive Landscape

• Key Players
• Market Share Analysis

10. Company Profiles

• IBM
• Oracle
• SAP
• Microsoft
• Informatica
• Talend
• Denodo
• Atlan
• Cinchy
• Dell Technologies
• TIBCO Software

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References