Data fabric is an architecture that facilitates the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems.
The global In-memory Data Fabric market was valued at US$ 386 million in 2023 and is anticipated to reach US$ 1922.7 million by 2030, witnessing a CAGR of 26.4% during the forecast period 2024-2030.
The data fabric market refers to the technology that enables seamless integration, management, and movement of data across various platforms, applications, and devices. It provides a unified view of data, making it easier for organizations to access and utilize their data assets. The data fabric market is growing rapidly, driven by various factors such as the increasing volume and variety of data, the need for real-time data insights, and the rise of cloud computing and hybrid IT environments. Companies are recognizing the importance of data as a strategic asset and are investing in data fabric solutions to derive valuable insights, enhance decision-making, and improve business outcomes. One of the key trends in the data fabric market is the adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies. By leveraging AI/ML algorithms, data fabric solutions can automate data integration, cleansing, and enrichment processes, enabling organizations to derive meaningful insights from large volumes of data in real-time. This trend is particularly prominent in industries such as healthcare, finance, and retail, where real-time analytics and personalized customer experiences are crucial. Another trend is the increasing adoption of cloud-based data fabric solutions. Cloud computing offers scalability, cost-effectiveness, and agility, making it an ideal platform for data fabric implementations. Cloud-based data fabric solutions can seamlessly connect on-premises and cloud-based data sources, enabling organizations to leverage the benefits of both environments. Privacy and security are also becoming major concerns in the data fabric market. With data being constantly moved and shared across various platforms and devices, organizations are focusing on ensuring data privacy and protection. Data fabric solutions that provide end-to-end encryption, access controls, and data governance capabilities are gaining traction in the market. In summary, the data fabric market is growing rapidly, driven by factors such as the increasing volume and variety of data, the need for real-time insights, and the rise of cloud computing. Adoption of AI/ML technologies, cloud-based solutions, and a focus on privacy and security are key trends in the market.
This report aims to provide a comprehensive presentation of the global market for In-memory Data Fabric, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding In-memory Data Fabric.
Report Scope
The In-memory Data Fabric market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global In-memory Data Fabric market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the In-memory Data Fabric companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Denodo Technologies (US)
Global IDS (US)
IBM (US)
Informatica (US)
Oracle Corp (US)
SAP SE (Germany)
Software AG (Germany)
Splunk (US)
Talend (US)
VMware (US)
Hewlett Packard Enterprise (US)
Teradata Corp (US)
K2View (Israel)
NetApp (US)
Tervela
Segment by Type
On-Premises
Cloud
Segment by Application
BFSI
Telecommunications and IT
Retail and ecommerce
Healthcare and life sciences
Manufacturing
Government
Energy and utilities
Media and entertainment
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of In-memory Data Fabric companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global In-memory Data Fabric Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premises
1.2.3 Cloud
1.3 Market by Application
1.3.1 Global In-memory Data Fabric Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 BFSI
1.3.3 Telecommunications and IT
1.3.4 Retail and ecommerce
1.3.5 Healthcare and life sciences
1.3.6 Manufacturing
1.3.7 Government
1.3.8 Energy and utilities
1.3.9 Media and entertainment
1.3.10 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global In-memory Data Fabric Market Perspective (2019-2030)
2.2 In-memory Data Fabric Growth Trends by Region
2.2.1 Global In-memory Data Fabric Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 In-memory Data Fabric Historic Market Size by Region (2019-2024)
2.2.3 In-memory Data Fabric Forecasted Market Size by Region (2025-2030)
2.3 In-memory Data Fabric Market Dynamics
2.3.1 In-memory Data Fabric Industry Trends
2.3.2 In-memory Data Fabric Market Drivers
2.3.3 In-memory Data Fabric Market Challenges
2.3.4 In-memory Data Fabric Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top In-memory Data Fabric Players by Revenue
3.1.1 Global Top In-memory Data Fabric Players by Revenue (2019-2024)
3.1.2 Global In-memory Data Fabric Revenue Market Share by Players (2019-2024)
3.2 Global In-memory Data Fabric Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by In-memory Data Fabric Revenue
3.4 Global In-memory Data Fabric Market Concentration Ratio
3.4.1 Global In-memory Data Fabric Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by In-memory Data Fabric Revenue in 2023
3.5 In-memory Data Fabric Key Players Head office and Area Served
3.6 Key Players In-memory Data Fabric Product Solution and Service
3.7 Date of Enter into In-memory Data Fabric Market
3.8 Mergers & Acquisitions, Expansion Plans
4 In-memory Data Fabric Breakdown Data by Type
4.1 Global In-memory Data Fabric Historic Market Size by Type (2019-2024)
4.2 Global In-memory Data Fabric Forecasted Market Size by Type (2025-2030)
5 In-memory Data Fabric Breakdown Data by Application
5.1 Global In-memory Data Fabric Historic Market Size by Application (2019-2024)
5.2 Global In-memory Data Fabric Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America In-memory Data Fabric Market Size (2019-2030)
6.2 North America In-memory Data Fabric Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America In-memory Data Fabric Market Size by Country (2019-2024)
6.4 North America In-memory Data Fabric Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe In-memory Data Fabric Market Size (2019-2030)
7.2 Europe In-memory Data Fabric Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe In-memory Data Fabric Market Size by Country (2019-2024)
7.4 Europe In-memory Data Fabric Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific In-memory Data Fabric Market Size (2019-2030)
8.2 Asia-Pacific In-memory Data Fabric Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific In-memory Data Fabric Market Size by Region (2019-2024)
8.4 Asia-Pacific In-memory Data Fabric Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America In-memory Data Fabric Market Size (2019-2030)
9.2 Latin America In-memory Data Fabric Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America In-memory Data Fabric Market Size by Country (2019-2024)
9.4 Latin America In-memory Data Fabric Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa In-memory Data Fabric Market Size (2019-2030)
10.2 Middle East & Africa In-memory Data Fabric Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa In-memory Data Fabric Market Size by Country (2019-2024)
10.4 Middle East & Africa In-memory Data Fabric Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Denodo Technologies (US)
11.1.1 Denodo Technologies (US) Company Detail
11.1.2 Denodo Technologies (US) Business Overview
11.1.3 Denodo Technologies (US) In-memory Data Fabric Introduction
11.1.4 Denodo Technologies (US) Revenue in In-memory Data Fabric Business (2019-2024)
11.1.5 Denodo Technologies (US) Recent Development
11.2 Global IDS (US)
11.2.1 Global IDS (US) Company Detail
11.2.2 Global IDS (US) Business Overview
11.2.3 Global IDS (US) In-memory Data Fabric Introduction
11.2.4 Global IDS (US) Revenue in In-memory Data Fabric Business (2019-2024)
11.2.5 Global IDS (US) Recent Development
11.3 IBM (US)
11.3.1 IBM (US) Company Detail
11.3.2 IBM (US) Business Overview
11.3.3 IBM (US) In-memory Data Fabric Introduction
11.3.4 IBM (US) Revenue in In-memory Data Fabric Business (2019-2024)
11.3.5 IBM (US) Recent Development
11.4 Informatica (US)
11.4.1 Informatica (US) Company Detail
11.4.2 Informatica (US) Business Overview
11.4.3 Informatica (US) In-memory Data Fabric Introduction
11.4.4 Informatica (US) Revenue in In-memory Data Fabric Business (2019-2024)
11.4.5 Informatica (US) Recent Development
11.5 Oracle Corp (US)
11.5.1 Oracle Corp (US) Company Detail
11.5.2 Oracle Corp (US) Business Overview
11.5.3 Oracle Corp (US) In-memory Data Fabric Introduction
11.5.4 Oracle Corp (US) Revenue in In-memory Data Fabric Business (2019-2024)
11.5.5 Oracle Corp (US) Recent Development
11.6 SAP SE (Germany)
11.6.1 SAP SE (Germany) Company Detail
11.6.2 SAP SE (Germany) Business Overview
11.6.3 SAP SE (Germany) In-memory Data Fabric Introduction
11.6.4 SAP SE (Germany) Revenue in In-memory Data Fabric Business (2019-2024)
11.6.5 SAP SE (Germany) Recent Development
11.7 Software AG (Germany)
11.7.1 Software AG (Germany) Company Detail
11.7.2 Software AG (Germany) Business Overview
11.7.3 Software AG (Germany) In-memory Data Fabric Introduction
11.7.4 Software AG (Germany) Revenue in In-memory Data Fabric Business (2019-2024)
11.7.5 Software AG (Germany) Recent Development
11.8 Splunk (US)
11.8.1 Splunk (US) Company Detail
11.8.2 Splunk (US) Business Overview
11.8.3 Splunk (US) In-memory Data Fabric Introduction
11.8.4 Splunk (US) Revenue in In-memory Data Fabric Business (2019-2024)
11.8.5 Splunk (US) Recent Development
11.9 Talend (US)
11.9.1 Talend (US) Company Detail
11.9.2 Talend (US) Business Overview
11.9.3 Talend (US) In-memory Data Fabric Introduction
11.9.4 Talend (US) Revenue in In-memory Data Fabric Business (2019-2024)
11.9.5 Talend (US) Recent Development
11.10 VMware (US)
11.10.1 VMware (US) Company Detail
11.10.2 VMware (US) Business Overview
11.10.3 VMware (US) In-memory Data Fabric Introduction
11.10.4 VMware (US) Revenue in In-memory Data Fabric Business (2019-2024)
11.10.5 VMware (US) Recent Development
11.11 Hewlett Packard Enterprise (US)
11.11.1 Hewlett Packard Enterprise (US) Company Detail
11.11.2 Hewlett Packard Enterprise (US) Business Overview
11.11.3 Hewlett Packard Enterprise (US) In-memory Data Fabric Introduction
11.11.4 Hewlett Packard Enterprise (US) Revenue in In-memory Data Fabric Business (2019-2024)
11.11.5 Hewlett Packard Enterprise (US) Recent Development
11.12 Teradata Corp (US)
11.12.1 Teradata Corp (US) Company Detail
11.12.2 Teradata Corp (US) Business Overview
11.12.3 Teradata Corp (US) In-memory Data Fabric Introduction
11.12.4 Teradata Corp (US) Revenue in In-memory Data Fabric Business (2019-2024)
11.12.5 Teradata Corp (US) Recent Development
11.13 K2View (Israel)
11.13.1 K2View (Israel) Company Detail
11.13.2 K2View (Israel) Business Overview
11.13.3 K2View (Israel) In-memory Data Fabric Introduction
11.13.4 K2View (Israel) Revenue in In-memory Data Fabric Business (2019-2024)
11.13.5 K2View (Israel) Recent Development
11.14 NetApp (US)
11.14.1 NetApp (US) Company Detail
11.14.2 NetApp (US) Business Overview
11.14.3 NetApp (US) In-memory Data Fabric Introduction
11.14.4 NetApp (US) Revenue in In-memory Data Fabric Business (2019-2024)
11.14.5 NetApp (US) Recent Development
11.15 Tervela
11.15.1 Tervela Company Detail
11.15.2 Tervela Business Overview
11.15.3 Tervela In-memory Data Fabric Introduction
11.15.4 Tervela Revenue in In-memory Data Fabric Business (2019-2024)
11.15.5 Tervela Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Denodo Technologies (US)
Global IDS (US)
IBM (US)
Informatica (US)
Oracle Corp (US)
SAP SE (Germany)
Software AG (Germany)
Splunk (US)
Talend (US)
VMware (US)
Hewlett Packard Enterprise (US)
Teradata Corp (US)
K2View (Israel)
NetApp (US)
Tervela
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*If Applicable.
