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全球 Data Fabric 市場規模：按組件、按應用、按組織規模、按地區、範圍和預測

Global Data Fabric Market Size By Component, By Application, By Organization Size (Large Enterprises, Small and Medium-sized Enterprises ), By Geographic Scope And Forecast

出版日期: 2024年08月14日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

Data Fabric 市場規模與預測

2024 年 Data Fabric 市場規模為 25.5 億美元，預計 2024 年至 2031 年複合年增長率為 25.10%，到 2031 年將達到 130.2 億美元。Data Fabric 是一種變革性的資料管理方法，它提供了一個統一、可擴展且安全的平台來集中組織的資料資產。Data Fabric 充當全面的解決方案，將不同的資料來源（無論是本地、基於雲端還是第三方系統）整合到單一內聚環境中。這種整合促進了不同系統和應用程式之間的無縫資料流，使企業能夠更有效率地管理資料。資料結構的核心是提供集中管理並簡化資料資產監控和治理。透過集中資料架構和技術，企業可以實施嚴格的資料治理，確保整個企業的資料品質、一致性和安全性。

這種集中式方法增強了資料完整性並支援遵守監管標準。

可擴展性是 Data Fabric 解決方案的關鍵特性，旨在處理現代資料環境中不斷增長的資料量和複雜性。隨著您的組織的發展和資料需求的發展，您的資料結構可以適應這些變化，而不會影響效能或安全性。

此外，資料結構增強了可存取性，允許授權使用者和應用程式安全地從集中式平台存取資料。這確保了資料在整個組織內可用且可操作，從而推動更好的決策和營運效率。

互通性是資料結構的另一個主要優勢。透過確保與各種資料格式、技術和系統的兼容性，資料結構支援多功能和整合的資料生態系統。此功能使企業能夠利用不同的資料來源和工具來最大化其資料資產的價值，同時最大限度地減少整合挑戰。

全球 Data Fabric 市場動態

塑造全球資料結構市場的關鍵市場動態

主要市場推動因素

數據生成：

企業資料的數量、種類和複雜性不斷增加。由於感測器和攝影機等連接設備的激增，數據產生的激增極大地擴大了企業需要管理和分析的數據類型的範圍。隨著企業努力從不斷增長的資料池中提取有價值的見解，對資料結構解決方案的需求正在加速成長。

人工智慧:

將人工智慧 (AI) 和機器學習 (ML) 整合到資料整合工具中正在增強資料結構解決方案的功能，提供更高效的資料管理和更深入的分析見解。

結構化和非結構化資料：

結構化和非結構化資料在零售、電子商務、電信、銀行、醫療服務和BFSI（銀行、金融服務和保險）等各個行業中變得越來越普遍，從而催生了高效的即時數據分析和管理解決方案。

數位平台：

行業特定的要求以及社交媒體網路、線上應用程式和數位平台產生的數據的激增進一步推動了市場的成長。

對業務敏捷性的需求不斷增長：

對跨不同組織孤島的業務敏捷性以及安全且準確的資料傳輸的需求日益增長，正在推動資料結構解決方案的採用。這些解決方案提供了一個統一的資料存取門戶，其中包括資料虛擬化、無縫資料移動和安全的應用程式到應用程式連接。

主要挑戰

缺乏數據管理

資料管理是財務、人力資源、銷售和營運等許多業務領域的支柱，是資料驅動型業務的關鍵要素。然而，目前的資料結構設計通常不包括有效追蹤和管理過去資料事務的機制。這種監督給依賴歷史資料進行分析、建模和決策的資料科學家、業務分析師和機器學習工程師帶來了挑戰。

技能差距

資料結構解決方案的成功實施和管理需要精通資料工程、資料科學和雲端運算等先進技術的人員。然而，擁有有效實施和管理這些複雜系統所需專業知識的專業人員嚴重短缺。

互通性挑戰

：在不同平台、技術和資料來源之間實現無縫互通性仍然是資料結構市場中的一項艱鉅挑戰。數據結構解決方案必須整合和協調來自不同環境的數據，但可能會出現相容性問題，從而降低這些系統的有效性和效率。這些互通性問題可能會導致資料管理流程碎片化，從而限制資料結構解決方案的實用性和潛力。

專業知識要求

：部署和管理資料結構解決方案需要多個領域的專業知識和技能，包括資料工程、資料科學和雲端基礎架構。這種對專業知識的需求可能是一個主要的阻礙因素，要求公司投資於培訓和僱用熟練的專業人員。

數據孤島

：克服資料孤島並在組織內創建真正的資料驅動文化也是資料結構市場的關鍵挑戰。未能解決資料孤島問題可能會限制資料結構解決方案的有效性，因為分散的資料環境會破壞創建組織資料的統一、全面視圖的目標。

主要趨勢

對資料可存取性和業務敏捷性的需求不斷增長

：企業越來越優先考慮能夠有效組織資料並提供對關鍵資訊的即時存取的解決方案。傳統的大數據平台雖然功能強大，但正在被專注於快速資料存取的設計（例如資料結構）所補充，有時甚至被取代。這種轉變是由於企業需要快速存取和利用數據來做出明智的決策並提高整體敏捷性和回應能力而推動的。

透過 AI 和 ML 整合增強洞察力

：將人工智慧 (AI) 和機器學習 (ML) 演算法整合到資料結構解決方案中是一種日益增長的趨勢，它將改變組織從資料中獲取見解的方式。

智慧自動化

：資料結構越來越多地融入人工智慧驅動的自動化，以簡化資料管理流程。傳統上需要手工勞動的任務，例如資料發現、攝取、清理和治理，現在可以使用智慧資料結構解決方案來實現自動化。這種自動化減少了資料管理所需的時間和資源，提高了準確性並提高了營運效率。隨著企業尋求最大限度地提高生產力並降低資料管理的複雜性，資料結構中的智慧自動化趨勢預計將加速並進一步推動市場成長。

與雲端服務集成

這些解決方案與資料湖、資料倉儲和進階分析工具等雲端服務無縫整合。資料結構充當統一層，連接混合和多雲環境中的不同資料來源，使企業能夠全面控制其資料。這種整合提供了一個全面的資料管理平台，支援從儲存和處理到分析和治理的各種資料需求。隨著企業遷移到雲端並採用雲端原生架構，資料結構整合和支援雲端服務的能力將在雲端服務的採用和市場擴張中發揮關鍵作用。

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.