The global In-memory Data Fabric market size is expected to reach $ 1918 million by 2030, rising at a market growth of 25.2% CAGR 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.
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.
This report studies the global In-memory Data Fabric demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for In-memory Data Fabric, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2023 as the base year. This report explores demand trends and competition, as well as details the characteristics of In-memory Data Fabric that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global In-memory Data Fabric total market, 2019-2030, (USD Million)
Global In-memory Data Fabric total market by region & country, CAGR, 2019-2030, (USD Million)
U.S. VS China: In-memory Data Fabric total market, key domestic companies and share, (USD Million)
Global In-memory Data Fabric revenue by player and market share 2019-2024, (USD Million)
Global In-memory Data Fabric total market by Type, CAGR, 2019-2030, (USD Million)
Global In-memory Data Fabric total market by Application, CAGR, 2019-2030, (USD Million).
This reports profiles major players in the global In-memory Data Fabric market based on the following parameters 鈥� company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Denodo Technologies (US), Global IDS (US), IBM (US), Informatica (US), Oracle Corp (US), SAP SE (Germany), Software AG (Germany), Splunk (US) and Talend (US), etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World In-memory Data Fabric market.
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2019-2030 by year with 2023 as the base year, 2024 as the estimate year, and 2025-2030 as the forecast year.
Global In-memory Data Fabric Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global In-memory Data Fabric Market, Segmentation by Type
On-Premises
Cloud
Global In-memory Data Fabric Market, Segmentation by Application
BFSI
Telecommunications and IT
Retail and ecommerce
Healthcare and life sciences
Manufacturing
Government
Energy and utilities
Media and entertainment
Others
Companies Profiled:
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
Key Questions Answered
1. How big is the global In-memory Data Fabric market?
2. What is the demand of the global In-memory Data Fabric market?
3. What is the year over year growth of the global In-memory Data Fabric market?
4. What is the total value of the global In-memory Data Fabric market?
5. Who are the major players in the global In-memory Data Fabric market?
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1 Supply Summary
1.1 In-memory Data Fabric Introduction
1.2 World In-memory Data Fabric Market Size & Forecast (2019 & 2023 & 2030)
1.3 World In-memory Data Fabric Total Market by Region (by Headquarter Location)
1.3.1 World In-memory Data Fabric Market Size by Region (2019-2030), (by Headquarter Location)
1.3.2 United States In-memory Data Fabric Market Size (2019-2030)
1.3.3 China In-memory Data Fabric Market Size (2019-2030)
1.3.4 Europe In-memory Data Fabric Market Size (2019-2030)
1.3.5 Japan In-memory Data Fabric Market Size (2019-2030)
1.3.6 South Korea In-memory Data Fabric Market Size (2019-2030)
1.3.7 ASEAN In-memory Data Fabric Market Size (2019-2030)
1.3.8 India In-memory Data Fabric Market Size (2019-2030)
1.4 Market Drivers, Restraints and Trends
1.4.1 In-memory Data Fabric Market Drivers
1.4.2 Factors Affecting Demand
1.4.3 In-memory Data Fabric Major Market Trends
2 Demand Summary
2.1 World In-memory Data Fabric Consumption Value (2019-2030)
2.2 World In-memory Data Fabric Consumption Value by Region
2.2.1 World In-memory Data Fabric Consumption Value by Region (2019-2024)
2.2.2 World In-memory Data Fabric Consumption Value Forecast by Region (2025-2030)
2.3 United States In-memory Data Fabric Consumption Value (2019-2030)
2.4 China In-memory Data Fabric Consumption Value (2019-2030)
2.5 Europe In-memory Data Fabric Consumption Value (2019-2030)
2.6 Japan In-memory Data Fabric Consumption Value (2019-2030)
2.7 South Korea In-memory Data Fabric Consumption Value (2019-2030)
2.8 ASEAN In-memory Data Fabric Consumption Value (2019-2030)
2.9 India In-memory Data Fabric Consumption Value (2019-2030)
3 World In-memory Data Fabric Companies Competitive Analysis
3.1 World In-memory Data Fabric Revenue by Player (2019-2024)
3.2 Industry Rank and Concentration Rate (CR)
3.2.1 Global In-memory Data Fabric Industry Rank of Major Players
3.2.2 Global Concentration Ratios (CR4) for In-memory Data Fabric in 2023
3.2.3 Global Concentration Ratios (CR8) for In-memory Data Fabric in 2023
3.3 In-memory Data Fabric Company Evaluation Quadrant
3.4 In-memory Data Fabric Market: Overall Company Footprint Analysis
3.4.1 In-memory Data Fabric Market: Region Footprint
3.4.2 In-memory Data Fabric Market: Company Product Type Footprint
3.4.3 In-memory Data Fabric Market: Company Product Application Footprint
3.5 Competitive Environment
3.5.1 Historical Structure of the Industry
3.5.2 Barriers of Market Entry
3.5.3 Factors of Competition
3.6 Mergers, Acquisitions Activity
4 United States VS China VS Rest of the World (by Headquarter Location)
4.1 United States VS China: In-memory Data Fabric Revenue Comparison (by Headquarter Location)
4.1.1 United States VS China: In-memory Data Fabric Market Size Comparison (2019 & 2023 & 2030) (by Headquarter Location)
4.1.2 United States VS China: In-memory Data Fabric Revenue Market Share Comparison (2019 & 2023 & 2030)
4.2 United States Based Companies VS China Based Companies: In-memory Data Fabric Consumption Value Comparison
4.2.1 United States VS China: In-memory Data Fabric Consumption Value Comparison (2019 & 2023 & 2030)
4.2.2 United States VS China: In-memory Data Fabric Consumption Value Market Share Comparison (2019 & 2023 & 2030)
4.3 United States Based In-memory Data Fabric Companies and Market Share, 2019-2024
4.3.1 United States Based In-memory Data Fabric Companies, Headquarters (States, Country)
4.3.2 United States Based Companies In-memory Data Fabric Revenue, (2019-2024)
4.4 China Based Companies In-memory Data Fabric Revenue and Market Share, 2019-2024
4.4.1 China Based In-memory Data Fabric Companies, Company Headquarters (Province, Country)
4.4.2 China Based Companies In-memory Data Fabric Revenue, (2019-2024)
4.5 Rest of World Based In-memory Data Fabric Companies and Market Share, 2019-2024
4.5.1 Rest of World Based In-memory Data Fabric Companies, Headquarters (States, Country)
4.5.2 Rest of World Based Companies In-memory Data Fabric Revenue, (2019-2024)
5 Market Analysis by Type
5.1 World In-memory Data Fabric Market Size Overview by Type: 2019 VS 2023 VS 2030
5.2 Segment Introduction by Type
5.2.1 On-Premises
5.2.2 Cloud
5.3 Market Segment by Type
5.3.1 World In-memory Data Fabric Market Size by Type (2019-2024)
5.3.2 World In-memory Data Fabric Market Size by Type (2025-2030)
5.3.3 World In-memory Data Fabric Market Size Market Share by Type (2019-2030)
6 Market Analysis by Application
6.1 World In-memory Data Fabric Market Size Overview by Application: 2019 VS 2023 VS 2030
6.2 Segment Introduction by Application
6.2.1 BFSI
6.2.2 Telecommunications and IT
6.2.3 Retail and ecommerce
6.2.4 Healthcare and life sciences
6.2.5 Healthcare and life sciences
6.2.6 Government
6.2.7 Energy and utilities
6.2.8 Media and entertainment
6.2.9 Others
6.3 Market Segment by Application
6.3.1 World In-memory Data Fabric Market Size by Application (2019-2024)
6.3.2 World In-memory Data Fabric Market Size by Application (2025-2030)
6.3.3 World In-memory Data Fabric Market Size by Application (2019-2030)
7 Company Profiles
7.1 Denodo Technologies (US)
7.1.1 Denodo Technologies (US) Details
7.1.2 Denodo Technologies (US) Major Business
7.1.3 Denodo Technologies (US) In-memory Data Fabric Product and Services
7.1.4 Denodo Technologies (US) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.1.5 Denodo Technologies (US) Recent Developments/Updates
7.1.6 Denodo Technologies (US) Competitive Strengths & Weaknesses
7.2 Global IDS (US)
7.2.1 Global IDS (US) Details
7.2.2 Global IDS (US) Major Business
7.2.3 Global IDS (US) In-memory Data Fabric Product and Services
7.2.4 Global IDS (US) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.2.5 Global IDS (US) Recent Developments/Updates
7.2.6 Global IDS (US) Competitive Strengths & Weaknesses
7.3 IBM (US)
7.3.1 IBM (US) Details
7.3.2 IBM (US) Major Business
7.3.3 IBM (US) In-memory Data Fabric Product and Services
7.3.4 IBM (US) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.3.5 IBM (US) Recent Developments/Updates
7.3.6 IBM (US) Competitive Strengths & Weaknesses
7.4 Informatica (US)
7.4.1 Informatica (US) Details
7.4.2 Informatica (US) Major Business
7.4.3 Informatica (US) In-memory Data Fabric Product and Services
7.4.4 Informatica (US) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.4.5 Informatica (US) Recent Developments/Updates
7.4.6 Informatica (US) Competitive Strengths & Weaknesses
7.5 Oracle Corp (US)
7.5.1 Oracle Corp (US) Details
7.5.2 Oracle Corp (US) Major Business
7.5.3 Oracle Corp (US) In-memory Data Fabric Product and Services
7.5.4 Oracle Corp (US) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.5.5 Oracle Corp (US) Recent Developments/Updates
7.5.6 Oracle Corp (US) Competitive Strengths & Weaknesses
7.6 SAP SE (Germany)
7.6.1 SAP SE (Germany) Details
7.6.2 SAP SE (Germany) Major Business
7.6.3 SAP SE (Germany) In-memory Data Fabric Product and Services
7.6.4 SAP SE (Germany) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.6.5 SAP SE (Germany) Recent Developments/Updates
7.6.6 SAP SE (Germany) Competitive Strengths & Weaknesses
7.7 Software AG (Germany)
7.7.1 Software AG (Germany) Details
7.7.2 Software AG (Germany) Major Business
7.7.3 Software AG (Germany) In-memory Data Fabric Product and Services
7.7.4 Software AG (Germany) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.7.5 Software AG (Germany) Recent Developments/Updates
7.7.6 Software AG (Germany) Competitive Strengths & Weaknesses
7.8 Splunk (US)
7.8.1 Splunk (US) Details
7.8.2 Splunk (US) Major Business
7.8.3 Splunk (US) In-memory Data Fabric Product and Services
7.8.4 Splunk (US) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.8.5 Splunk (US) Recent Developments/Updates
7.8.6 Splunk (US) Competitive Strengths & Weaknesses
7.9 Talend (US)
7.9.1 Talend (US) Details
7.9.2 Talend (US) Major Business
7.9.3 Talend (US) In-memory Data Fabric Product and Services
7.9.4 Talend (US) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.9.5 Talend (US) Recent Developments/Updates
7.9.6 Talend (US) Competitive Strengths & Weaknesses
7.10 VMware (US)
7.10.1 VMware (US) Details
7.10.2 VMware (US) Major Business
7.10.3 VMware (US) In-memory Data Fabric Product and Services
7.10.4 VMware (US) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.10.5 VMware (US) Recent Developments/Updates
7.10.6 VMware (US) Competitive Strengths & Weaknesses
7.11 Hewlett Packard Enterprise (US)
7.11.1 Hewlett Packard Enterprise (US) Details
7.11.2 Hewlett Packard Enterprise (US) Major Business
7.11.3 Hewlett Packard Enterprise (US) In-memory Data Fabric Product and Services
7.11.4 Hewlett Packard Enterprise (US) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.11.5 Hewlett Packard Enterprise (US) Recent Developments/Updates
7.11.6 Hewlett Packard Enterprise (US) Competitive Strengths & Weaknesses
7.12 Teradata Corp (US)
7.12.1 Teradata Corp (US) Details
7.12.2 Teradata Corp (US) Major Business
7.12.3 Teradata Corp (US) In-memory Data Fabric Product and Services
7.12.4 Teradata Corp (US) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.12.5 Teradata Corp (US) Recent Developments/Updates
7.12.6 Teradata Corp (US) Competitive Strengths & Weaknesses
7.13 K2View (Israel)
7.13.1 K2View (Israel) Details
7.13.2 K2View (Israel) Major Business
7.13.3 K2View (Israel) In-memory Data Fabric Product and Services
7.13.4 K2View (Israel) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.13.5 K2View (Israel) Recent Developments/Updates
7.13.6 K2View (Israel) Competitive Strengths & Weaknesses
7.14 NetApp (US)
7.14.1 NetApp (US) Details
7.14.2 NetApp (US) Major Business
7.14.3 NetApp (US) In-memory Data Fabric Product and Services
7.14.4 NetApp (US) In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.14.5 NetApp (US) Recent Developments/Updates
7.14.6 NetApp (US) Competitive Strengths & Weaknesses
7.15 Tervela
7.15.1 Tervela Details
7.15.2 Tervela Major Business
7.15.3 Tervela In-memory Data Fabric Product and Services
7.15.4 Tervela In-memory Data Fabric Revenue, Gross Margin and Market Share (2019-2024)
7.15.5 Tervela Recent Developments/Updates
7.15.6 Tervela Competitive Strengths & Weaknesses
8 Industry Chain Analysis
8.1 In-memory Data Fabric Industry Chain
8.2 In-memory Data Fabric Upstream Analysis
8.3 In-memory Data Fabric Midstream Analysis
8.4 In-memory Data Fabric Downstream Analysis
9 Research Findings and Conclusion
10 Appendix
10.1 Methodology
10.2 Research Process and Data Source
10.3 Disclaimer
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.