세계의 데이터 패브릭 시장 규모 : 구성요소별, 용도별, 조직 규모별, 지역별, 범위 및 예측

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.

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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