USD 1.90 billion
Data Fabric Market Size, Share, Growth Analysis, By Component(Solutions, Services [Professional Services (Consulting, Education and Training, Support and Maintenance)), By Type(Disk-Based, In-Memory), By Organization Size(Large Enterprises, Small and Medium-Sized Enterprises), By Deployment Mode(On-Premises, Cloud), By Application(Fraud Detection & Security Management, Governance, Risk & Compliance Management, Customer Intelligence), By Vertical(BFSI, Government, Defense, & Public Agencies), By Region - Industry Forecast 2024-2031
Report ID:
SQMIG45A2166 |
Region:
Global |
Published Date: October, 2024
Pages:
157
|Tables:
96
|Figures:
76
Data Fabric Market Insights
Global Data Fabric Market size was valued at USD 1.7 billion in 2022 and is poised to grow from USD 2.23 billion in 2023 to USD 19.31 billion by 2031, growing at a CAGR of 31% during the forecast period (2024-2031).
The widespread use of the internet and the number of connected devices such as smartphones, laptops, tablets and PCs access the amount and types of corporate data such as, sensors and cameras. The use of data analytics by businesses is driven by the increasing demand for exploratory data analytics, and the collection of data from the data fabric for analytical purposes.
The proliferation of online platforms and the digital revolution have accelerated the processing of data. Companies protect data and knowledge from a variety of remote locations. Thus, enabling rapid access to data in remote environments creates a wealth of information for data management providers. The richness and diversity of business data assets increases the complexity of data governance and data integration, thereby facilitating the adoption of data fabrics within organizations.
Recently, big data analytics has attracted a lot of attention from practitioners and researchers. Companies are predicted to build data fabrics to power enterprise-wide data and analytics and automate many tasks related to data discovery, integration, manipulation and preparation. Global investments in big data analytics from private and public sources have reached $100,000. The demand for big data analytics technologies is driven by the rapidly increasing volume and complexity of data due to increased cloud computing and mobile data traffic, and the development and adoption of technologies such as Artificial Intelligence (AI) and Internet of Things (IoT).
Market Snapshot - 2024-2031
Global Market Size
Largest Segment
Integrated Data Fabric
Fastest Growth
Virtualized Data Fabric
Growth Rate
22.3% CAGR
Global Data Fabric Market ($ Bn)
Country Share for North America Region (%)
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Data Fabric Market Segmental Analysis
Global Data Fabric Market is segmented by Component, Type, application, end user, Application, and region. Based on Component, the market is segmented into Solutions, and Services. Based on Type, the market is segmented into Disk-Based, and In-Memory. Based on Organization Size, the market is segmented into Large Enterprises, and Small and Medium-Sized Enterprises. Based on Deployment Mode, the market is segmented into On-Premises, Cloud. Based on Application, the market is segmented into Fraud Detection & Security Management, Governance, Risk & Compliance Management, Customer Intelligence, Sales & Marketing Management, Business Process Management, Preventative Maintenance Analysis, and Other Applications. Based on Vertical, the market is segmented into BFSI, Government, Defense, & Public Agencies, Telecom, Retail & Ecommerce, Manufacturing, Energy & Mining, Healthcare & Life Sciences, Media & Entertainment, and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Analysis by Deployment Mode
As per data fabric market forecast, the on-premises segment dominated with a revenue share of over 68% in 2023. Off-premises deployment appears to capture a lower market share than cloud at the end of the forecast period because it involves larger upfront capital and supporting operational costs. In addition, implementation takes longer because the software must be installed on individual servers. For example, in December 2020, SAP introduced SAP Data Intelligence 3.1. This update covers classification and processing, integration and networking, governance and metadata pipeline modeling, and intelligent processing. This is the on-premises version of the SAP Data Intelligence system.
Cloud is expected to follow the fastest CAGR during the forecast period. The cloud delivers flexibility, efficiency and choice, which businesses need. Companies are increasingly deploying their advanced analytics and artificial intelligence in the cloud, helping them make better data-driven decisions in a highly competitive industry. With the growing amount of data from diverse digital assets, businesses are looking for extra flexible, bendy, and cost-powerful methods to control, analyze, and guard information. Cloud-based data fabric solutions offer a unique advantage a making it more attractive to enterprises. The cloud segment performs a vital role inside the data fabric market, transforming how facts are stored, accessed and managed. They are helping to drive the adoption and growth of the data fabric industry.
Analysis by End Use
The large enterprise segment represented the largest data fabric market share of more than 69% in 2021. The use of big digital data is key in large organizations and in addition, data integration & processing is a common practice occurs in such an organization. With the advent of various data management technologies such as data pipelining, data governance, data orchestration, data cataloging, architectures are needed to optimize the value of big data. The need for data fabric is expected will increase in the coming years. Large companies are essential to the data fabric market, acting as key adopters and key contributors to its growth and innovation. These organizations, often operating across departments and industries, generate large amounts of data from multiple sources, making data governance and integration a complex and strategic requirement.
The small and medium enterprises segment is expected to grow significantly over the forecast period. The increasing importance of data analytics and optimization of available data within the organization is expected to drive the growth of the segment. The data fabric standardizes data management practices across on-premises, cloud, and edge devices. Furthermore, free trials and other promotions are expected to increase the adoption of data textile architecture among SMEs. SMEs are increasingly contributing to the growth of the data fabric market as they recognize the benefits of data-driven insights to increase competitiveness and operational efficiency. Unlike large enterprises, SMEs are often limited in terms of the financial and IT resources, which makes it traditional data management solutions are not practical.
Global Data Fabric Market By Type of Data Fabric
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Data Fabric Market Regional Insights
North America is the dominant region of the data fabric market, driven by technologically savvy companies and large enterprises in the United States and Canada. These organizations invest heavily in building advanced data solutions compete and meet customer demands for the personalized experiences. Strong North American technology infrastructure, combined with the availability of leading cloud and data stewards, encourages innovation and rapid deployment of data fabric solutions. North American companies are leading the way in adopting cloud computing and big data technologies, making them predominant providers of data fabric solutions to manage complex data integrations. Data fabric enables increased access to data in hybrid multicloud ecosystems by connecting those data silos.
Asia Pacific is experiencing rapid growth in the data fabric market, driven by a wave of digitalization and increasing data penetration in industries such as the telecom, manufacturing and e-commerce. Government initiatives promoting digital transformation and smart city development also support the demand for data fabric in Asia-Pacific. Countries such as China, Japan and India are making an investment heavily within the records management technologies and power operational efficiencies. As the industry in the region expands and the adoption of IoT and AI keeps developing, Asia-Pacific is expected to be a key growth region for statistics fabric solutions.
Global Data Fabric Market By Region
- Largest
- Fastest
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Data Fabric Market Dynamics
Drivers
High Data Complexity and Volume
- Rapid growth in data production and complexity across industries are key drivers for the data fabric market. As organizations expand their digital footprint, data from multiple sources such as IoT devices, social media, mobile applications, and business processes grow exponentially. This complex data ecosystem requires integrated solutions and scalable for better data handling, integration and analysis. A data fabric that can integrate data from multiple sources and provide comprehensive views across applications meets this need by providing a simple and centralized approach to data management. It also empowers organizations to gain actionable insights quickly, increase operational efficiency and decision-making processes.
Increasing Demand for Real-time Analytics
- In an increasing number of digital economic systems, the demand for real-time facts analytics is growing. Companies need to make fast, information-pushed choices to compete and adapt to unexpectedly converting market conditions. The records fabric enables the actual-time statistics integration and processing, ensuring that information remains handy and up to date for timely analysis. This capability is specifically vital for the industries such as finance, retail, healthcare and telecommunications, wherein instant access to statistics can be a competitive differentiator.
Restraints
Increased Implementation and Integration Costs
- One of the main challenges in adopting data fabric is the high cost of implementation and integration. Organizations frequently should tailor solutions to their particular needs, which may be complex and highly priced, in particular for the small and medium-sized agencies. Additionally, integrating legacy systems with the other complicated statistics fabric solutions can increase operational costs and require ongoing assistance. Building a data-cloth architecture requires significant investment in infrastructure and software expertise.
Data Security and Compliance Challenges
- Data fabric platforms provide a unified view of data within an organization, they expose businesses to new security vulnerabilities and compliance risks by accessing and managing data from a variety of sources. Organizations ensuring data privacy GDPR, HIPAA, CCPA Extremes face greater challenges in meeting the needs of Kana ensure secure and compliant use of data in the data textile ecosystem. Concerns about data breaches, unauthorized access, and compliance.
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Data Fabric Market Competitive Landscape
The data fabric market is characterized by fierce competition among players ranging from established technology giants to innovative start-ups. These companies compete to satisfy enterprises’ growing needs for data integration, real-time analytics and seamless use of data across multiple environments (off-campus, hybrid and multi-cloud). Key drivers of competitiveness include technical capabilities, integration strategies, scalability, cost. and efficiency. Leading companies in this market, such as IBM, Informatica, Oracle, SAP, and Microsoft, focus on providing complete Data Fabric solutions that can handle complex data management tasks.
Top Player’s Company Profiles
- IBM (US)
- SAP (Germany)
- Oracle (US)
- Denodo (US)
- HPE (US)
- Dell Technologies (US)
- NetApp (US)
- Teradata (US)
- Software AG (Germany)
- TIBCO Software (US)
- Splunk (US)
- Global IDs (US)
- Cinchy (Canada)
- K2View (US)
- IDERA (US)
- Incorta (US)
- Radiant Logic (US)
- Intenda (South Africa)
- Atlan (India)
- Nexla (US)
- Stardog (US)
- Gluent (US)
- Starburst Data (US)
- Hexstream (France)
- Qomplx (US)
- CluedIn (Denmark)
- Iguazio (Israel)
- Alex Solutions (US)
Recent Developments
- In November 2023, DataStax reported the development of its organization with Amazon Web Administrations (AWS), zeroing in on new generative artificial intelligence advancements and combinations across different viewpoints, for example, go-to-advertise methodologies, items, and innovation. This joint effort means offering generative artificial intelligence advances to clients, working with expanded efficiency and proficient turn of events, and the organization of exact generative man-made intelligence applications for improved client encounters.
- In December 2023, EY, a worldwide leader in strategic and innovation counseling administrations, reported another strategic partnership with Appian (Nasdaq: APPN), a prestigious supplier of low-code and process automation solutions. This cooperation expects to help organizations in their computerized change endeavors by utilizing state-of-the-art advancements like man-made consciousness (artificial intelligence), low-code improvement, process mechanization, and information texture to streamline and modernize their cycles.
- In December 2023, Fortinet (FTNT) reported the development of its strategic partnership with Digital Realty (DLR), the biggest worldwide supplier of cloud and transporter nonpartisan server farm arrangements. The organization plans to speed up the extension of Fortinet's Universal Secure Access Service Edge (SASE) arrangement, which has previously been conveyed in over 100 areas around the world. SASE is a security structure that coordinates network security capabilities with Wide Region Systems Administration (WAN) capacities to meet the dynamic and secure access prerequisites of associations.
Data Fabric Key Market Trends
- Increasing Integration of AI and Machine Learning: Integrating artificial intelligence (AI) and machine learning (ML) capabilities into data fabric solutions is a transformational trend that advances data processing, analytics, and processing. AI-powered data fabric capabilities enable data discovery, classification, and quality management automatically, making data more accurate and accessible. AI-driven insights allow companies to spot trends and anomalies, enabling predictive analytics and better decision-making. As a result, vendors are increasingly integrating AI/ML into their data fabric offerings, attracting more businesses aiming to capitalize on advanced analytics and compete in the digital landscape.
- Increasing Adoption of Cloud-based Fabric Solutions: With the demand for scalable and flexible data management solutions, there is a notable trend to use cloud-based data fabric. Cloud-based data fabric provides scalability and cost savings. Organizations can meet their data needs without significant infrastructure investment. This trend is accelerated by the increasing use of hybrid and multi-cloud, as organizations look for integrated data fabric solutions that do not deny in on-premises and cloud-based systems. As infrastructure becomes more advanced and secure, more businesses are likely to adopt cloud-based data fabric to increase data availability and agility.
Data Fabric Market SkyQuest Analysis
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
According to SkyQuest analysis, the data fabric industry is driven by the need to efficiently manage complex data, with real-time analytics acting as a key business accelerator. However, high implementation costs and the safety challenges hamper adoption. The combination of AI/ML and the shift to cloud-based solutions are defining trends, which improve data management and accessibility. North America leads the way in technological innovation and rapid adoption, while Asia Pacific represents the fastest growing market due to digitization and technology expansion efforts. Together, these developments cloth data the market is set for significant growth and promises advanced data management capabilities across regions.
| Report Metric | Details |
|---|---|
| Market size value in 2022 | USD 1.7 billion |
| Market size value in 2031 | USD 19.31 billion |
| Growth Rate | 31% |
| Base year | 2023 |
| Forecast period | 2024-2031 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
|
| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
|
| Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
- Exhibit: Executive Summary – Chart on Market Overview
- Exhibit: Executive Summary – Data Table on Market Overview
- Exhibit: Executive Summary – Chart on Data Fabric Market Characteristics
- Exhibit: Executive Summary – Chart on Market by Geography
- Exhibit: Executive Summary – Chart on Market Segmentation
- Exhibit: Executive Summary – Chart on Incremental Growth
- Exhibit: Executive Summary – Data Table on Incremental Growth
- Exhibit: Executive Summary – Chart on Vendor Market Positioning
Parent Market Analysis
Market overview
Market size
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- SWOT Analysis
KEY MARKET INSIGHTS
- Technology Analysis
- (Exhibit: Data Table: Name of technology and details)
- Pricing Analysis
- (Exhibit: Data Table: Name of technology and pricing details)
- Supply Chain Analysis
- (Exhibit: Detailed Supply Chain Presentation)
- Value Chain Analysis
- (Exhibit: Detailed Value Chain Presentation)
- Ecosystem Of the Market
- Exhibit: Parent Market Ecosystem Market Analysis
- Exhibit: Market Characteristics of Parent Market
- IP Analysis
- (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
- Trade Analysis
- (Exhibit: Data Table: Import and Export data details)
- Startup Analysis
- (Exhibit: Data Table: Emerging startups details)
- Raw Material Analysis
- (Exhibit: Data Table: Mapping of key raw materials)
- Innovation Matrix
- (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
- Pipeline product Analysis
- (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
- Macroeconomic Indicators
COVID IMPACT
- Introduction
- Impact On Economy—scenario Assessment
- Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
- Revised Market Size
- Exhibit: Data Table on Data Fabric Market size and forecast 2021-2027 ($ million)
- Impact Of COVID On Key Segments
- Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
- COVID Strategies By Company
- Exhibit: Analysis on key strategies adopted by companies
MARKET DYNAMICS & OUTLOOK
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- Regulatory Landscape
- Exhibit: Data Table on regulation from different region
- SWOT Analysis
- Porters Analysis
- Competitive rivalry
- Exhibit: Competitive rivalry Impact of key factors, 2021
- Threat of substitute products
- Exhibit: Threat of Substitute Products Impact of key factors, 2021
- Bargaining power of buyers
- Exhibit: buyers bargaining power Impact of key factors, 2021
- Threat of new entrants
- Exhibit: Threat of new entrants Impact of key factors, 2021
- Bargaining power of suppliers
- Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
- Competitive rivalry
- Skyquest special insights on future disruptions
- Political Impact
- Economic impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact
Market Size by Region
- Chart on Market share by geography 2021-2027 (%)
- Data Table on Market share by geography 2021-2027(%)
- North America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- USA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Canada
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Europe
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Germany
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Spain
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- France
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- UK
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Europe
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Asia Pacific
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- China
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- India
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Japan
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Korea
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Asia Pacific
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Latin America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Brazil
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of South America
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Middle East & Africa (MEA)
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- GCC Countries
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Africa
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of MEA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
KEY COMPANY PROFILES
- Competitive Landscape
- Total number of companies covered
- Exhibit: companies covered in the report, 2021
- Top companies market positioning
- Exhibit: company positioning matrix, 2021
- Top companies market Share
- Exhibit: Pie chart analysis on company market share, 2021(%)
- Total number of companies covered
Methodology
For the Data Fabric Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Data Fabric Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Data Fabric Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Data Fabric Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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