Global Data Fabric Market Soars to US$ 2 Billion in 2023, Poised for Remarkable US$ 15 Billion Growth by 2033

In 2023, the global data fabric market boasts a valuation of US$ 2 billion and anticipates a remarkable surge to reach US$ 15 billion by the conclusion of 2033, driven by an impressive compound annual growth rate (CAGR) of 22.3% forecasted for the period spanning 2023 to 2033.

The utility of data fabric lies in its capacity for efficient data management, facilitating the integration of data from various sources and enabling centralized analysis. Enterprises frequently employ data fabric to gain a holistic view of their business and customers across the organization, seamlessly merging diverse data sets—both real-time and historical—while streamlining automation processes.

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Data Fabric: A Smart Investment for Business Efficiency

"Significant Return on Investment with Data Fabric"

Data fabric offers substantial returns on investment (ROI) for businesses across a range of dimensions. At its core, data fabric systems drive operational efficiency improvements. They streamline processes by eliminating paper-based documentation and reducing handover delays. Analytical systems, in turn, enhance operational efficiency by helping organizations pinpoint the most promising opportunities, assess risks more accurately, and optimize resource allocation.

Data fabric consistently translates these efficiency gains into positive ROI in several ways. It delivers higher throughput and lower latency compared to traditional low-latency IP-based middleware. Moreover, data fabric provides remarkable speed while minimizing CPU overhead, enabling business applications to execute critical tasks more swiftly. Ultimately, it allows businesses to allocate their most valuable resources to areas where they can have the greatest impact, delivering tangible value to the overall solution.

"Integration of Machine Learning and AI in Data Integration Tools"

The rapid growth of online platforms and digital transformation has accelerated data generation, resulting in dispersed data storage and insights across various ecosystems. Data management providers face challenges in ensuring timely access to data in these distributed environments, especially as commercial data assets become more diverse.

According to the 2021 Data and Analytics Adoption Trends Study, businesses are planning to automate 45% of data integration tools and 35% of data preparation tools. Consequently, data analytics firms are investing in innovative technologies to streamline data management processes. This has led to a surge in demand for data fabric architectures powered by machine learning (ML) and artificial intelligence (AI).

ML/AI-driven solutions provide instant data access, supporting companies in developing new marketing strategies and identifying potential customers. They offer comprehensive insights into suppliers and customers, ultimately driving increased sales rates.

For instance, in June 2021, IBM Corporation introduced IBM Cloud Pak for Data 4.0, featuring automation, AI lifecycle integration, and intelligent data management solutions to empower businesses with cutting-edge data capabilities.

Competitive landscape:

The data fabric space has witnessed numerous new developments in recent years. Key players in the data fabric market are collaborating to combine their technological skills in cloud integration, analytics, and AI to provide superior insights to consumers based on their needs.

Likewise, to extend their market presence, these players are investing in improvements and innovations. The innovation can be a new service, a new product, or an enhancement to an existing product designed to generate market demand and provide a solution to the needs of customers or partners.

Moreover, key players are also collaborating with start-ups to increase their offerings.

  • In July 2022IBM Corporation, a US-based technology business, paid an undisclosed sum for Databand. The acquisition of Databand expands IBM's existing data fabric offering while also building on IBM's R&D expenditures and key acquisitions in AI and automation. Databand, located in Israel, is a data fabric market provider of an observability platform for data and machine learning pipelines.

Key Segments of Data Fabric Industry Research:

  • By Component :
    • Software
    • Services
  • By Type :
    • Disk-based
    • In-memory
  • By End User :
    • BFSI
    • Retail & e-Commerce
    • Healthcare & Life Sciences
    • Manufacturing
    • IT & Telecom
    • Government
    • Others
  • By Region :
    • North America
    • Latin America
    • Europe
    • Asia Pacific & China
    • Middle East & Africa

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