세계의 데이터 패브릭 시장 조사 보고서 : 산업 분석, 규모, 점유율, 성장, 동향, 예측(2023-2030년)

The global demand for Data Fabric Market is presumed to reach the market size of nearly USD 38.31 BN by 2030 from USD 5.72 BN in 2022 with a CAGR of 23.53% under the study period 2023 - 2030.

Data fabric is an architecture that promotes the end-to-end integration of cloud environments and data pipelines through advanced and automated systems. In simpler words, data fabric is defined as an end-to-end data integration & management solution that offers a convenient, unified user experience and access to data for each company employee throughout the globe and in real-time. It is a potent architecture that standardizes usage across on-premises, cloud, and edge devices and controls data management procedures.

MARKET DYNAMICS:

The data fabric architecture, which includes IT services capabilities that offer seamless, real-time integration and access across the data silos of a big data system, has become one of the most significant advancements in recent data exploration research. Hence, the increasing necessity to transform digital data & the surge in IT spending is driving the market growth of data fabric systems. The adoption of the data fabric system is anticipated to be driven by several factors, including the expanding volume and variety of business data, the increased need for business agility and accessibility, and the rising demand for real-time streaming analytics. The improved data security prospects and increasing adoption of machine learning and artificial intelligence tools in data management solutions are augmenting the market growth of data fabric systems.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of data fabric. The growth and trends of data fabric industry provide a holistic approach to this study.

MARKET SEGMENTATION:

This section of the data fabric market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

• Solution
• Services

By Deployment

• On-Premise
• Cloud

By Type

• Disk-Based Data Fabric
• In-Memory Data Fabric

By Enterprise Size

• Small And Medium Enterprise
• Large Enterprise

By Business Applications

• Fraud Detection And Security Management
• Governance, Risk And Compliance Management
• Customer Experience Management
• Sales And Marketing Management
• Business Process Management
• Other Applications

By Industry

• BFSI
• Telecommunications & IT
• Retail & Ecommerce
• Healthcare
• Manufacturing
• Transportation & Logistics
• Media & Entertainment
• Others

REGIONAL ANALYSIS:

This section covers the regional outlook, which accentuates current and future demand for the Data Fabric market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the data fabric market include Atlan Pte. Ltd, IBM, Oracle, Talend, SAP, Informatica Inc., Cloudera Inc., TIBCO Software Inc., Amazon Web Services, Inc., Data.world Inc. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

TABLE OF CONTENTS

1 . PREFACE

• 1.1. Report Description
  • 1.1.1. Objective
  • 1.1.2. Target Audience
  • 1.1.3. Unique Selling Proposition (USP) & offerings
• 1.2. Research Scope
• 1.3. Research Methodology
  • 1.3.1. Market Research Process
  • 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

• 2.1. Highlights of Market
• 2.2. Global Market Snapshot

3 . DATA FABRIC - INDUSTRY ANALYSIS

• 3.1. Introduction - Market Dynamics
• 3.2. Market Drivers
• 3.3. Market Restraints
• 3.4. Opportunities
• 3.5. Industry Trends
• 3.6. Porter's Five Force Analysis
• 3.7. Market Attractiveness Analysis
  • 3.7.1 Market Attractiveness Analysis By Component
  • 3.7.2 Market Attractiveness Analysis By Deployment
  • 3.7.3 Market Attractiveness Analysis By Type
  • 3.7.4 Market Attractiveness Analysis By Enterprise Size
  • 3.7.5 Market Attractiveness Analysis By Business Applications
  • 3.7.6 Market Attractiveness Analysis By Industry
  • 3.7.7 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

• 4.1. Value Chain Analysis
• 4.2. Raw Material Analysis
  • 4.2.1. List of Raw Materials
  • 4.2.2. Raw Material Manufactures List
  • 4.2.3. Price Trend of Key Raw Materials
• 4.3. List of Potential Buyers
• 4.4. Marketing Channel
  • 4.4.1. Direct Marketing
  • 4.4.2. Indirect Marketing
  • 4.4.3. Marketing Channel Development Trend

5 . IMPACT ANALYSIS OF COVID-19 OUTBREAK

6 . GLOBAL DATA FABRIC MARKET ANALYSIS BY COMPONENT

• 6.1 Overview by Component
• 6.2 Historical and Forecast Data
• 6.3 Analysis by Component
• 6.4 Solution Historic and Forecast Sales by Regions
• 6.5 Services Historic and Forecast Sales by Regions

7 . GLOBAL DATA FABRIC MARKET ANALYSIS BY DEPLOYMENT

• 7.1 Overview by Deployment
• 7.2 Historical and Forecast Data
• 7.3 Analysis by Deployment
• 7.4 On-premise Historic and Forecast Sales by Regions
• 7.5 Cloud Historic and Forecast Sales by Regions

8 . GLOBAL DATA FABRIC MARKET ANALYSIS BY TYPE

• 8.1 Overview by Type
• 8.2 Historical and Forecast Data
• 8.3 Analysis by Type
• 8.4 Disk-based Data Fabric Historic and Forecast Sales by Regions
• 8.5 In-memory Data Fabric Historic and Forecast Sales by Regions

9 . GLOBAL DATA FABRIC MARKET ANALYSIS BY ENTERPRISE SIZE

• 9.1 Overview by Enterprise Size
• 9.2 Historical and Forecast Data
• 9.3 Analysis by Enterprise Size
• 9.4 Small And Medium Enterprise Historic and Forecast Sales by Regions
• 9.5 Large Enterprise Historic and Forecast Sales by Regions

10 . GLOBAL DATA FABRIC MARKET ANALYSIS BY BUSINESS APPLICATIONS

• 10.1 Overview by Business Applications
• 10.2 Historical and Forecast Data
• 10.3 Analysis by Business Applications
• 10.4 Fraud Detection And Security Management Historic and Forecast Sales by Regions
• 10.5 Governance, Risk And Compliance Management Historic and Forecast Sales by Regions
• 10.6 Customer Experience Management Historic and Forecast Sales by Regions
• 10.7 Sales And Marketing Management Historic and Forecast Sales by Regions
• 10.8 Business Process Management Historic and Forecast Sales by Regions
• 10.9 Other Applications Historic and Forecast Sales by Regions

11 . GLOBAL DATA FABRIC MARKET ANALYSIS BY INDUSTRY

• 11.1 Overview by Industry
• 11.2 Historical and Forecast Data
• 11.3 Analysis by Industry
• 11.4 BFSI Historic and Forecast Sales by Regions
• 11.5 Telecommunications & IT Historic and Forecast Sales by Regions
• 11.6 Retail & Ecommerce Historic and Forecast Sales by Regions
• 11.7 Healthcare Historic and Forecast Sales by Regions
• 11.8 Manufacturing Historic and Forecast Sales by Regions
• 11.9 Transportation & Logistics Historic and Forecast Sales by Regions
• 11.1 Media & Entertainment Historic and Forecast Sales by Regions
• 11.11 Others Historic and Forecast Sales by Regions

12 . GLOBAL DATA FABRIC MARKET SALES ANALYSIS BY GEOGRAPHY

• 12.1. Regional Outlook
• 12.2. Introduction
• 12.3. North America Sales Analysis
  • 12.3.1. Overview, Historic and Forecast Sales Analysis
  • 12.3.2. North America By Segment Sales Analysis
  • 12.3.3. North America By Country Sales Analysis
  • 12.3.4. United State Sales Analysis
  • 12.3.5. Canada Sales Analysis
  • 12.3.6. Mexico Sales Analysis
• 12.4. Europe Sales Analysis
  • 12.4.1. Overview, Historic and Forecast Sales Analysis
  • 12.4.2. Europe by Segment Sales Analysis
  • 12.4.3. Europe by Country Sales Analysis
  • 12.4.4. United Kingdom Sales Analysis
  • 12.4.5. France Sales Analysis
  • 12.4.6. Germany Sales Analysis
  • 12.4.7. Italy Sales Analysis
  • 12.4.8. Russia Sales Analysis
  • 12.4.9. Rest Of Europe Sales Analysis
• 12.5. Asia Pacific Sales Analysis
  • 12.5.1. Overview, Historic and Forecast Sales Analysis
  • 12.5.2. Asia Pacific by Segment Sales Analysis
  • 12.5.3. Asia Pacific by Country Sales Analysis
  • 12.5.4. China Sales Analysis
  • 12.5.5. India Sales Analysis
  • 12.5.6. Japan Sales Analysis
  • 12.5.7. South Korea Sales Analysis
  • 12.5.8. Australia Sales Analysis
  • 12.5.9. Rest Of Asia Pacific Sales Analysis
• 12.6. Latin America Sales Analysis
  • 12.6.1. Overview, Historic and Forecast Sales Analysis
  • 12.6.2. Latin America by Segment Sales Analysis
  • 12.6.3. Latin America by Country Sales Analysis
  • 12.6.4. Brazil Sales Analysis
  • 12.6.5. Argentina Sales Analysis
  • 12.6.6. Peru Sales Analysis
  • 12.6.7. Chile Sales Analysis
  • 12.6.8. Rest of Latin America Sales Analysis
• 12.7. Middle East & Africa Sales Analysis
  • 12.7.1. Overview, Historic and Forecast Sales Analysis
  • 12.7.2. Middle East & Africa by Segment Sales Analysis
  • 12.7.3. Middle East & Africa by Country Sales Analysis
  • 12.7.4. Saudi Arabia Sales Analysis
  • 12.7.5. UAE Sales Analysis
  • 12.7.6. Israel Sales Analysis
  • 12.7.7. South Africa Sales Analysis
  • 12.7.8. Rest Of Middle East And Africa Sales Analysis

13 . COMPETITIVE LANDSCAPE OF THE DATA FABRIC COMPANIES

• 13.1. Data Fabric Market Competition
• 13.2. Partnership/Collaboration/Agreement
• 13.3. Merger And Acquisitions
• 13.4. New Product Launch
• 13.5. Other Developments

14 . COMPANY PROFILES OF DATA FABRIC INDUSTRY

• 14.1. Top Company Share Analysis
• 14.2. Market Concentration Rate
• 14.3. Atlan Pte. Ltd
  • 14.3.1. Company Overview
  • 14.3.2. Company Revenue
  • 14.3.3. Products
  • 14.3.4. Recent Developments
• 14.4. IBM
  • 14.4.1. Company Overview
  • 14.4.2. Company Revenue
  • 14.4.3. Products
  • 14.4.4. Recent Developments
• 14.5. Oracle
  • 14.5.1. Company Overview
  • 14.5.2. Company Revenue
  • 14.5.3. Products
  • 14.5.4. Recent Developments
• 14.6. Talend
  • 14.6.1. Company Overview
  • 14.6.2. Company Revenue
  • 14.6.3. Products
  • 14.6.4. Recent Developments
• 14.7. SAP
  • 14.7.1. Company Overview
  • 14.7.2. Company Revenue
  • 14.7.3. Products
  • 14.7.4. Recent Developments
• 14.8. Informatica Inc.
  • 14.8.1. Company Overview
  • 14.8.2. Company Revenue
  • 14.8.3. Products
  • 14.8.4. Recent Developments
• 14.9. Cloudera Inc.
  • 14.9.1. Company Overview
  • 14.9.2. Company Revenue
  • 14.9.3. Products
  • 14.9.4. Recent Developments
• 14.10. TIBCO Software Inc.
  • 14.10.1. Company Overview
  • 14.10.2. Company Revenue
  • 14.10.3. Products
  • 14.10.4. Recent Developments
• 14.11. Amazon Web Services Inc.
  • 14.11.1. Company Overview
  • 14.11.2. Company Revenue
  • 14.11.3. Products
  • 14.11.4. Recent Developments
• 14.12. Data.world Inc.
  • 14.12.1. Company Overview
  • 14.12.2. Company Revenue
  • 14.12.3. Products
  • 14.12.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies