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The total value of the global Data Fabric Market surpassed $1.9 billion in 2022 and is expected to create revenue of around $6.7 billion by the end of 2030, representing a compound annual growth rate (CAGR) of 30.9% from 2022 until 2030. A favourable return on investment (ROI) and an increase in demand for cloud-based data fabric solutions are some of the reasons that are driving the growth of the market. These solutions offer scalability and prospective opportunities for both global vendors and end users.
It is crucial for proper business operations and successful outcomes to have data that is both secure and reliable. By adhering to global rules that protect sensitive data for clients or customers, businesses can accomplish secure data storage for their customers or clients. According to the findings of the Consumer Intelligence Series: Trusted Tech Report, between eighty and ninety percent of customers in a variety of nations, including the United States of America, Canada, China, India, the United Kingdom, and other places, are seeking for more trustworthy businesses to protect their data. As a result, the adoption of data management technologies with a higher level of security by organisations all over the world has become an absolute necessity. The term "data fabric" refers to an architecture that is both well-structured and well-organized, and it offers an additional layer of protection against data exploitation and unauthorised access. Its ecosystem offers a foundation that is secure by design, which makes the data management it provides reliable. In addition to this, the operational capabilities of the architecture can be improved by integrating solutions that make use of machine learning and artificial intelligence. Radiant Logic, an organisation specialising in the unification of identities, announced the launch of the RadiantOne Intelligent Identity Data Platform in December 2021. This was done with the intention of improving both security and compliance capabilities. As a result of this, the inclusion of a variety of data security measures inside the solution will increase the market share of the data fabric.
During the time covered by this estimate, one of the most important factors that is projected to drive the market for data fabric is the rapid development of both organised and unstructured company information across a wide range of sectors. The primary factor that is driving the market is the increasing demand for real-time running data analysis, as well as the deployment of data fabric solutions in many industries, including as retail and e-commerce, telecoms and banking, medical services, and BFSI. A lack of worry on the part of customers is going to be the primary factor driving growth in the data fabric industry over the next several years. In addition, the deployment of software-based technologies is anticipated to increase the potential of the data fabric market during the course of the timeframe that has been projected. Big Data Fabrics are anticipated to streamline and decentralise the analytic processes, thereby extracting actionable intelligence from the copious amounts of data available.
A diverse data management platform that can integrate real-time and historical data in a seamless manner is known as "data fabric." This approach to data management is software-based, and it enables a company to interact with various storage resources, as well as restructure how data management is carried out across those resources. The growth of the data fabric sector is being driven by improvements in data security, the effectiveness of service delivery, and the enhancement of the overall quality of the customer experience. The rate of market expansion will be influenced in a significant way by the surge in demand for real-time streaming analytics as well as the growing requirement for more company agility and accessibility. In addition, factors such as the increasing volume and variety of company data as well as the expanding usage of cloud computing are the drivers that will speed up the expansion of the data fabric market. Additionally, the high adoption rate of data fabric platforms is driving the market. These platforms enable applications and tools to access data utilising a wide range of interfaces that a firm has implemented, which is why the market is being driven by this factor.
The use of data fabric makes it possible to combine and analyse a wide variety of data sets, which would not be possible without these options. The increasing adoption of digital and smart technologies across a diverse range of company areas, such as human resources, finance, operations, and supply chain, has been a driving force behind the expansion of the market. The quantity and variety of data being produced by social media platforms and weblogs, in addition to data coming from other sources such as sensor data, geolocation data, and machine data, are expanding at an astounding rate. The vast majority of the world's most successful companies and brands are currently putting into practise data fabric solutions in order to derive real-time insights from the ever-increasing volume of data. A data fabric makes it possible to obtain data from a wide variety of sources, helps businesses store vast amounts of data, and enables the smooth analysis of those data at some location. The ability to derive value from any sort of data, the ability to store all types of structured and unstructured data, and the ability to centralise access to data by providing a single, unified view of data across all organisations are some of the benefits that may be gained through using data fabric.
The administrative philosophy, which is built on storing and analysing business-related data using old-fashioned approaches such as data warehouses and data marts, is the primary element that acts as a barrier to the expansion of data fabric solutions all over the world. This barrier is one of the most significant factors that impedes the expansion of data fabric solutions. As a result, the most important thing that needs to be done in this day and age is to educate organisations on how to store and analyse essential data in real time across a wide variety of business events in order to gain a sustained benefit from the use of data fabric. As a result, it is of the utmost importance to merge traditional data management systems with those already in use by the general public. Both the IT teams and the legacy systems lack the necessary capabilities to provide well-defined interfaces for the legacy systems. Awareness is needed throughout the main organisations across the world regarding the benefits and possibilities offered by data management technologies such as data fabric.
Report Coverage
Global Data Fabric research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Data Fabric report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Data Fabric competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Data Fabric market players and analyses their core competencies in each global market sub-segments.
Key Points Covered in the Report
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Data Fabric market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Data Fabric market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
IBM (US), SAP (Germany), Oracle (US), Informatica (US), Talend (US), Denodo (US), HPE (US), Dell Technologies (US), NetApp (US), Teradata (US), Splunk (US), TIBCO Software (US), Software AG (Germany), Intenda (South Africa), Radiant Logic (US), Incorta (US), Idera (US), K2View (US), Cinchy (Canada), Precisely (US), Global IDs (US), Alex Solutions (Australia), Iguazio (Israel), CluedIn (Denmark), QOMPLX (US), HEXstream (US), Starburst Data (US), Gluent (US), Stardog (US), Nexla (US), and Atlan (Singapore)
Primary Target Market
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2030. INFINITIVE DATA EXPERT has segmented the global Data Fabric market based on the below-mentioned segments:
Global Data Fabric Market, By Type
Disk-based
In-memory
Global Data Fabric market, By Application
Fraud Detection & Security Management
Government, Risk & Compliance Management
Customer Intelligence
Sales & Marketing Management
Business Process Management
Preventative Maintenance Analysis
Other Applications
Global Data Fabric Market, By Verticals
BFSI
Government, Defense & Public Agencies
Manufacturing
Healthcare & Life Sciences
Energy & Mining
Telecom
Media & Entertainment
Retail & eCommerce
Other Verticals
Global Data Fabric market, Regional Analysis
It is crucial for proper business operations and successful outcomes to have data that is both secure and reliable. By adhering to global rules that protect sensitive data for clients or customers, businesses can accomplish secure data storage for their customers or clients. According to the findings of the Consumer Intelligence Series: Trusted Tech Report, between eighty and ninety percent of customers in a variety of nations, including the United States of America, Canada, China, India, the United Kingdom, and other places, are seeking for more trustworthy businesses to protect their data. As a result, the adoption of data management technologies with a higher level of security by organisations all over the world has become an absolute necessity. The term "data fabric" refers to an architecture that is both well-structured and well-organized, and it offers an additional layer of protection against data exploitation and unauthorised access. Its ecosystem offers a foundation that is secure by design, which makes the data management it provides reliable. In addition to this, the operational capabilities of the architecture can be improved by integrating solutions that make use of machine learning and artificial intelligence. Radiant Logic, an organisation specialising in the unification of identities, announced the launch of the RadiantOne Intelligent Identity Data Platform in December 2021. This was done with the intention of improving both security and compliance capabilities. As a result of this, the inclusion of a variety of data security measures inside the solution will increase the market share of the data fabric.
During the time covered by this estimate, one of the most important factors that is projected to drive the market for data fabric is the rapid development of both organised and unstructured company information across a wide range of sectors. The primary factor that is driving the market is the increasing demand for real-time running data analysis, as well as the deployment of data fabric solutions in many industries, including as retail and e-commerce, telecoms and banking, medical services, and BFSI. A lack of worry on the part of customers is going to be the primary factor driving growth in the data fabric industry over the next several years. In addition, the deployment of software-based technologies is anticipated to increase the potential of the data fabric market during the course of the timeframe that has been projected. Big Data Fabrics are anticipated to streamline and decentralise the analytic processes, thereby extracting actionable intelligence from the copious amounts of data available.
A diverse data management platform that can integrate real-time and historical data in a seamless manner is known as "data fabric." This approach to data management is software-based, and it enables a company to interact with various storage resources, as well as restructure how data management is carried out across those resources. The growth of the data fabric sector is being driven by improvements in data security, the effectiveness of service delivery, and the enhancement of the overall quality of the customer experience. The rate of market expansion will be influenced in a significant way by the surge in demand for real-time streaming analytics as well as the growing requirement for more company agility and accessibility. In addition, factors such as the increasing volume and variety of company data as well as the expanding usage of cloud computing are the drivers that will speed up the expansion of the data fabric market. Additionally, the high adoption rate of data fabric platforms is driving the market. These platforms enable applications and tools to access data utilising a wide range of interfaces that a firm has implemented, which is why the market is being driven by this factor.
The use of data fabric makes it possible to combine and analyse a wide variety of data sets, which would not be possible without these options. The increasing adoption of digital and smart technologies across a diverse range of company areas, such as human resources, finance, operations, and supply chain, has been a driving force behind the expansion of the market. The quantity and variety of data being produced by social media platforms and weblogs, in addition to data coming from other sources such as sensor data, geolocation data, and machine data, are expanding at an astounding rate. The vast majority of the world's most successful companies and brands are currently putting into practise data fabric solutions in order to derive real-time insights from the ever-increasing volume of data. A data fabric makes it possible to obtain data from a wide variety of sources, helps businesses store vast amounts of data, and enables the smooth analysis of those data at some location. The ability to derive value from any sort of data, the ability to store all types of structured and unstructured data, and the ability to centralise access to data by providing a single, unified view of data across all organisations are some of the benefits that may be gained through using data fabric.
The administrative philosophy, which is built on storing and analysing business-related data using old-fashioned approaches such as data warehouses and data marts, is the primary element that acts as a barrier to the expansion of data fabric solutions all over the world. This barrier is one of the most significant factors that impedes the expansion of data fabric solutions. As a result, the most important thing that needs to be done in this day and age is to educate organisations on how to store and analyse essential data in real time across a wide variety of business events in order to gain a sustained benefit from the use of data fabric. As a result, it is of the utmost importance to merge traditional data management systems with those already in use by the general public. Both the IT teams and the legacy systems lack the necessary capabilities to provide well-defined interfaces for the legacy systems. Awareness is needed throughout the main organisations across the world regarding the benefits and possibilities offered by data management technologies such as data fabric.
Report Coverage
Global Data Fabric research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Data Fabric report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Data Fabric competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Data Fabric market players and analyses their core competencies in each global market sub-segments.
| REPORT ATTRIBUTES | DETAILS |
|---|---|
| Study Period | 2017-2030 |
| Base Year | 2022 |
| Forecast Period | 2022-2030 |
| Historical Period | 2017-2021 |
| Unit | Value (USD Billion) |
| Key Companies Profiled | IBM (US), SAP (Germany), Oracle (US), Informatica (US), Talend (US), Denodo (US), HPE (US), Dell Technologies (US), NetApp (US), Teradata (US), Splunk (US), TIBCO Software (US), Software AG (Germany), Intenda (South Africa), Radiant Logic (US), Incorta (US), Idera (US), K2View (US), Cinchy (Canada), Precisely (US), Global IDs (US), Alex Solutions (Australia), Iguazio (Israel), CluedIn (Denmark), QOMPLX (US), HEXstream (US), Starburst Data (US), Gluent (US), Stardog (US), Nexla (US), and Atlan (Singapore) |
| Segments Covered | • By Product |
| Customization Scope | Free report customization (equivalent to up to 3 analyst working days) with purchase. Addition or alteration to country, regional & segment scope |
Key Points Covered in the Report
- Market Revenue of Data Fabric Market from 2021 to 2030.
- Market Forecast for Data Fabric Market from 2021 to 2030.
- Regional Market Share and Revenue from 2021 to 2030.
- Country Market share within region from 2021 to 2030.
- Key Type and Application Revenue and forecast.
- Company Market Share Analysis, Data Fabric competitive scenario, ranking, and detailed company
profiles. - Market driver, restraints, and detailed COVID-19 impact on Data Fabric
Market
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Data Fabric market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Data Fabric market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
IBM (US), SAP (Germany), Oracle (US), Informatica (US), Talend (US), Denodo (US), HPE (US), Dell Technologies (US), NetApp (US), Teradata (US), Splunk (US), TIBCO Software (US), Software AG (Germany), Intenda (South Africa), Radiant Logic (US), Incorta (US), Idera (US), K2View (US), Cinchy (Canada), Precisely (US), Global IDs (US), Alex Solutions (Australia), Iguazio (Israel), CluedIn (Denmark), QOMPLX (US), HEXstream (US), Starburst Data (US), Gluent (US), Stardog (US), Nexla (US), and Atlan (Singapore)
Primary Target Market
- Market Players of Data Fabric
- Investors
- End-users
- Government Authorities
- Consulting And Research Firm
- Venture capitalists
- Third-party knowledge providers
- Value-Added Resellers (VARs)
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2030. INFINITIVE DATA EXPERT has segmented the global Data Fabric market based on the below-mentioned segments:
Global Data Fabric Market, By Type
Disk-based
In-memory
Global Data Fabric market, By Application
Fraud Detection & Security Management
Government, Risk & Compliance Management
Customer Intelligence
Sales & Marketing Management
Business Process Management
Preventative Maintenance Analysis
Other Applications
Global Data Fabric Market, By Verticals
BFSI
Government, Defense & Public Agencies
Manufacturing
Healthcare & Life Sciences
Energy & Mining
Telecom
Media & Entertainment
Retail & eCommerce
Other Verticals
Global Data Fabric market, Regional Analysis
- Europe: Germany, Uk, France, Italy, Spain, Russia, Rest of Europe
- The Asia Pacific: China,Japan,India,South Korea,Australia,Rest of Asia Pacific
- South America: Brazil, Argentina, Rest of South America
- Middle East & Africa: UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa
About This Research
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