Data Fabric Market Size & Share Analysis - Trends, Drivers, Competitive Landscape, and Forecasts (2024-2030)

Data Fabric Market Size

Data Fabric Market Trends & Drivers

• A data fabric provides the opportunity to combine and evaluate various sets of information. Information from various sources, including sensors, geo-location, machines, and weblogs and social media, is rapidly expanding. To acquire real-time insights from this growing volume and variety of information, the majority of the top companies across industries are deploying such solutions.
• Such solutions and services make it possible for information to come from a number of sources, thus helping businesses store vast volumes and enabling seamless analysis at one location. The ability to sort all types of structured and unstructured sets, extract value from them, and gain centralized access to them from a single, unified platform is a key advantage that this ecosystem offers.
• Organizations can benefit from such technology in a variety of ways. Essentially, such systems increase operational efficiency by reducing delays and eliminating paperwork. Analytics also shows how well corporate activities work, thus enabling the achievement of business goals, price risk analysis, and usage of resources more efficiently. Thus, proper use of analytics can transform efficiency into a favorable return on investment (RoI) in multiple ways.

Data Fabric Market Analysis

The demand for such disk-based services and solutions globally is being driven by the need to store the enormous volume and variety of data in centralized repositories, to make its management and location easy.

Hence, with a share of more than 79% in 2022, the disk-based category led the type segment. This has been due to the growing need for data management across various repositories, as well as the lower costs associated with data compliance and ownership in this type of this fabric.

Moreover, the in-memory category will likely experience the higher CAGR, of around 26%, during forecast period.

In the coming years, the demand for low-latency data access, to support real-time predictive analytics, will cause the in-memory data fabric to expand quickly. It offers essential data storage facilities for various business applications and functions between applications and various sources. It offers in-memory computing components that can be used separately, while being properly integrated with one another.

Since in-memory databases store the information in hardware memory and may be used in the cloud or on-premises with commodity hardware ecosystems, they save time while processing the information. Seeing the growing demand for these systems, Oracle released Oracle Coherence version 14.1.1 in March 2020, which introduced vital new applications to the sector. Moreover, container and orchestration ecosystems, such as Kubernetes and Docker, are completely compatible with the platform.

Services Category Is Expected To Register Higher Growth Rate

During the projection period, the services category is set to have a significant growth. Market participants provide clients with a range of services as due to the demand for real-time connectivity, traditional data integration cannot satisfy the needs of today's enterprises. Despite the fact that many companies are capable of gathering data from diverse sources, they often struggle to integrate, process, curate, and transform it.

In 2022, the solution category held over 82% data fabric market share. The rise in the popularity of such platforms can be attributed to the surging need for improvement in business management. By reducing the obstacles created by data loss and enabling real-time streaming analytics, the architecture supports business agility.

With a revenue share of around 70% in 2022, the large enterprises category was dominant. Larger firms use a lot of digital information, the volume of which is continuously growing. Additionally, these firms frequently integrate and manage their information in different sets. Thus, there is a need for an architecture to maximize the management of the huge volumes of the data existing in data silos, with the introduction of numerous management technologies, including pipelining, governance, orchestration, and data catalogs.

Over the forecast period, the SMEs category is expected to expand significantly, as a result of the growing need of such firms for analytics and the optimization of the data. Management procedures are standardized by data fabric across on-premises, cloud, and edge devices. Additionally, promotional offerings, such as free trials, would accelerate the adoption of the data fabric architecture in small and medium-sized enterprises.

Regional Outlook

North America dominates the market as it was the first to adopt the technology. Moreover, in the region, the U.S. held more than 85% share in 2022. Because of the rising use of databases in various BI tools and the increasing penetration of digital technologies in the BFSI, telecom & IT, healthcare, and manufacturing sectors, the usage of such solutions in the country is predicted to rise quickly throughout the projection period. Additionally, the economy of the U.S. is rather strong, and the country has seen significant investments in digital infrastructure of late.

Moreover, the region’s quickness in adopting new and innovative technologies is expected to present opportunities for vendors. This will essentially be due to the exponential growth in the amount of information generated by IT devices and the strict laws and regulations enacted in the region to protect it. The development in the market would further be aided by the investments in a number of technologies, including AI, IoT, and big data.

Moreover, the adoption of data management services is increasing in Europe as big data technologies advance at an exceedingly rapid rate. Daily, large sets of information are generated by social and economic activity, due to the increasing use of electronic devices and networks, advancements in information and communication technology, and the digitization of production processes. The U.K., Germany, France, Russia, Nordic countries, and Italy are some of the key countries in Europe with a significant penetration of such technologies.

Additionally, APAC is predicted to experience a significant growth rate, due to the rampant construction of data centers and a rapid transition toward digitalization. China is the second-largest country in the world behind the U.S. in terms of data center adoption. Therefore, as data center setup, IoT adoption, and innovations in analytics technologies pick up, the data fabric technology will receive deeper penetration around the globe.

Report Breakdown

Based on Component

• Solutions
• Services

Based on Type

• Disk-Based
• In-Memory

Based on Organization Size

• Large Enterprises
• SMEs

Based on Deployment Mode

• On-Premises
• Cloud

Based on Applications

• Fraud Detection & Security Management
• Government, Risk & Compliance Management
• Customer Intelligence
• Sales & Marketing Management
• Business Process Management
• Preventative Maintenance Analysis

Based on Verticals

• BFSI
• Government, Defense & Public Agencies
• Manufacturing
• Healthcare & Life Sciences
• Energy & Mining
• Telecom
• Media & Entertainment
• Retail & eCommerce

Geographical Analysis

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • U.K.
  • France
  • Italy
  • Spain
• Asia-Pacific
  • Japan
  • China
  • India
  • South Korea
  • Australia
• Latin America
  • Brazil
  • Mexico
• Middle East and Africa
  • Saudi Arabia
  • South Africa
  • U.A.E.

Top Data Fabric Solution and Service Providers