Data Fabric Market: Global Industry Analysis and Forecast (2024-2030) Trends, Statistics, Dynamics, and Region

Data Fabric Market Definition:

The report explores the Global Data Fabric market's segments (Component, Data Fabric Type, Applications, Deployment Mode, Organization Size, Vertical, and Region). Data has been provided by market participants and regions (North America, Asia Pacific, Europe, Middle East & Africa, and South America). This market report provides a thorough analysis of the rapid advances that are currently taking place across all industry sectors. Facts and figures, illustrations, and presentations are used to provide key data analysis for the historical period from 2018 to 2022. The report investigates the Global Data Fabric market's drivers, limitations, prospects, and barriers. This MMR report includes investor recommendations based on a thorough examination of the Global Data Fabric market's contemporary competitive scenario.

 

 

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Data Fabric Market Dynamics:

The increase in the businesses is leading to the growth of the market:

 

There is a major surge in big data analytics and data analytics which is one of the crucial factors leading to the rise in the growth of the market. As it can collocate disparate data sources and provide analytics on the collected data. The rising businesses and data accessibility have led to the rise in the adoption of the data fabric platform. It enables the applications and provides a wide range of interfaces deployed by businesses. The rise in digitalization in emerging economies across the globe is profitable for the data fabric market growth.

 

The rise in the excess of connected devices has proportionately increased the variety with the volume of business data that is generated from these devices. Some of the devices like cameras and sensors that are deployed for monitoring continuously collect local data. The requirement for businesses to gather meaningful insights from the collected data has risen significantly. This, in turn, leads to the adoption of data analytics in businesses. Also, this is widely used for the spread of intrusion into the analytics framework. This is also accountable for data integration and management within a single environment from diverse sources. These are the major factors that are driving the growth of the market during the forecast period. 

 

Lack of workforce and the awareness among people are restraining market growth:                                                           

 

There is a lack of skilled workforce with a lack of awareness among the people are some of the factors that hamper the growth of the market to a certain extent. The high cost of deployment is also one of the major issues. Also, there are some factors that are limiting the growth of the market such as no data history, these systems do not retain a history of transactional data; rather, they change existing transactions as new transactions occur. A different kind of labor intensiveness is also a concern that is affecting negatively. These are some of the restraining factors that are affecting the growth of the Data Fabrics Market through the forecast period.

 

Global Data Fabric Market Trends:

The fabric switches are playing a major role in reducing the infrastructural cost by combining the data centers. Businesses are opting for big data solutions that collect data and provide prompt access to information. With the capabilities of big data platforms that increasingly create new opportunities for industries, data accessibility has shifted the need from the adoption of big data platforms to a rapid data access device such as data fabric. For instance, Data fabric has witnessed significant growth as it provides a complete approach to managing data securely, efficiently, and future-proof data transactions. This, in turn, supports business agility and data accessibility at a significant rate. As a result, these factors are boosting the growth of the global market in the coming years through the forecast period.

 

Data Fabric Market Segment Analysis:

Based on Deployment, the Data Fabric Market is segmented into On-premise and Cloud. The Cloud segment has dominated the largest market share accounting for 74.9% in 2023 and is expected to grow at a CAGR of 15.8% during the forecast period as it is widely used for integrating cloud-based data sources as it leverages data sources that reside at disparate locations. This is one of the major reasons that is expected to drive the growth of the market during the forecast period.

 

Based on Organizational size, the Data Fabric Market is segmented into Small and Medium Enterprises and Large Enterprises. The Large size enterprises have dominated the largest market share accounting for 48.2% in 2023, and are expected to grow at a CAGR of 7% during the forecast period. As high cost is associated with the deployment of the Data fabrics, hence the large size enterprises can afford its deployment.

 

 

Global Data Fabric Market Regional Insights:

The North American region held the largest market share accounting for 41% in 2023. This is a developed region with rapidly adopting advanced technologies for enhancing business productivity. Also, owing to the rise in the need to transform the digital data ecosystem among businesses operating in North America. There are many major key players existing in the market from this region. These factors are driving the market’s growth through the forecast period.

 

The Asia Pacific region is expected to witness significant growth at a CAGR of 23% through the forecast period as this region is highly IT spending capability of the developing countries in the Asia-Pacific to stay competitive in the global market. Also, this is because of the rapid advancement in the emerging technologies with an early adoption rate of the data fabric software in this region.

 

Data Fabric Market Key Players Insights:

The market is characterized by the existence of a number of well-known firms. These companies control a large portion of the market, have a wide product portfolio, and have a global presence. In addition, the market comprises small to mid-sized competitors that sell a limited variety of items, some of which are self-publishing organizations.

 

The market's major companies have a significant impact because most of them have extensive global networks through which they can reach their massive client bases. To drive revenue growth and strengthen their positions in the global market, key players in the market, particularly in North America and Europe, are focusing on strategic initiatives such as acquisitions, new collection launches, and partnerships.

 

The objective of the report is to present a comprehensive analysis of the Global Data Fabric Market to the stakeholders in the industry. The report provides trends that are most dominant in the Global Data Fabric Market and how these trends will influence new business investments and market development throughout the forecast period. The report also aids in the comprehension of the Global Data Fabric Market dynamics and competitive structure of the market by analyzing market leaders, market followers, and regional players.

 

The qualitative and quantitative data provided in the Global Data Fabric Market report is to help understand which market segments, regions are expected to grow at higher rates, factors affecting the market, and key opportunity areas, which will drive the industry and market growth through the forecast period. The report also includes the competitive landscape of key players in the industry along with their recent developments in the Global Data Fabric Market. The report studies factors such as company size, market share, market growth, revenue, production volume, and profits of the key players in the Global Data Fabric Market.

 

The report provides Porter's Five Force Model, which helps in designing the business strategies in the market. The report helps in identifying how many rivals exist, who they are, and how their product quality is in the Global Data Fabric Market. The report also analyses if the Global Data Fabric Market is easy for a new player to gain a foothold in the market, do they enter or exit the market regularly, if the market is dominated by a few players, etc.

 

The report also includes a PESTEL Analysis, which aids in the development of company strategies. Political variables help in figuring out how much a government can influence the Global Data Fabric Market. Economic variables aid in the analysis of economic performance drivers that have an impact on the Global Data Fabric Market. Understanding the impact of the surrounding environment and the influence of environmental concerns on the Global Data Fabric Market is aided by legal factors.

 

Data Fabric Market Scope:

 

Data Fabric Market
Market Size in 2023	USD 1.58 Bn.
Market Size in 2030	USD 8.05 Bn.
CAGR (2024-2030)	26.1 %
Historic Data	2018-2022
Base Year	2023
Forecast Period	2024-2030
Segment Scope	by  Component Software Services
	by Data Fabric Type Disk-based data fabric In-Memory data fabric
	by Deployment Mode Cloud On-premises
	by Organization Size Large enterprises Small and medium-sized enterprises
	by Vertical BFSI Telecommunications and IT Retail and E-Commerce Healthcare and Life Sciences Manufacturing Government Energy and Utilities Media and Entertainment Other Verticals
	by Application Fraud Detection and Security Management Governance, Risk, and Compliance Management Customer Experience Management Sales and Marketing Management Business Process Management Other Applications
Regional Scope	North America- United States, Canada, and Mexico Europe – UK, France, Germany, Italy, Spain, Sweden, Austria, and Rest of Europe Asia Pacific – China, India, Japan, South Korea, Australia, ASEAN, Rest of APAC Middle East and Africa - South Africa, GCC, Egypt, Nigeria, Rest of the Middle East and Africa South America – Brazil, Argentina, Rest of South America

 

Data Fabric Market Key Players: 

• Denodo Technologies
• Global IDs
• IBM Corporation
• Informatica
• NetApp
• Oracle Corporation
• SAP SE
• Software AG
• Splunk
• Talend
• Dell Technologies
• HP Enterprise
• Teradata Corporation
• TIBCO Software
• Precisely
• Idera
• Nexla
• Stardog
• Gluent
• Starburst Data
• HEXstream
• QOMPLX
• CluedIn
• Iguazio
• Cinchy