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レポート概要
| 360iResearch社発行の当市場調査レポートでは、2021年に1,233.44百万ドルであった世界のデータファブリック市場規模が、2022年に1,550.52百万ドルに達し、2027年には4,908.44百万ドルまでCAGR 25.88％で成長すると見込まれています。当レポートは、データファブリックの世界市場を多角的に調査し、序論、調査方法、エグゼクティブサマリー、市場概要、市場インサイト、コンポーネント別（サービス、ソフトウェア）分析、種類別（ディスク式、インメモリ式）分析、企業規模別（大企業、中小企業）分析、ビジネス用途別（ビジネスプロセス管理、カスタマーエクスペリエンス管理、不正検知＆セキュリティ管理、ガバナンス・リスク・コンプライアンス管理、その他）分析、地域別（南北アメリカ、アメリカ、カナダ、ブラジル、アジア太平洋、日本、中国、インド、韓国、台湾、ヨーロッパ/中東/アフリカ、イギリス、ドイツ、フランス、ロシア、その他）分析、競争状況など、以下の項目をまとめています。また、当書は、Cinchy、Cluedin、Dell Technologies、Denodo Technologies、Global IDS、Gluent、Hexstream、HPE、IBM、Idera、guazio、Informatica、Netapp, Inc.などの企業情報を含んでいます。 ・序論 ・調査方法 ・エグゼクティブサマリー ・市場概要 ・市場インサイト ・世界のデータファブリック市場規模：コンポーネント別 - サービスの市場規模 - ソフトウェアの市場規模 ・世界のデータファブリック市場規模：種類別 - ディスク式データファブリックの市場規模 - インメモリ式データファブリックの市場規模 ・世界のデータファブリック市場規模：企業規模別 - 大企業における市場規模 - 中小企業における市場規模 ・世界のデータファブリック市場規模：ビジネス用途別 - ビジネスプロセス管理における市場規模 - カスタマーエクスペリエンス管理における市場規模 - 不正検知＆セキュリティ管理における市場規模 - ガバナンス・リスク・コンプライアンス管理における市場規模 - その他ビジネス用途における市場規模 ・世界のデータファブリック市場規模：地域別 - 南北アメリカのデータファブリック市場規模 アメリカのデータファブリック市場規模 カナダのデータファブリック市場規模 ブラジルのデータファブリック市場規模 … - アジア太平洋のデータファブリック市場規模 日本のデータファブリック市場規模 中国のデータファブリック市場規模 インドのデータファブリック市場規模 韓国のデータファブリック市場規模 台湾のデータファブリック市場規模 … - ヨーロッパ/中東/アフリカのデータファブリック市場規模 イギリスのデータファブリック市場規模 ドイツのデータファブリック市場規模 フランスのデータファブリック市場規模 ロシアのデータファブリック市場規模 … - その他地域のデータファブリック市場規模 ・競争状況 ・企業情報 |
The Global Data Fabric Market size was estimated at USD 1,233.44 million in 2021 and expected to reach USD 1,550.52 million in 2022, and is projected to grow at a CAGR 25.88% to reach USD 4,908.44 million by 2027.
Market Statistics:
The report provides market sizing and forecast across 7 major currencies – USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.
Market Segmentation & Coverage:
This research report categorizes the Data Fabric to forecast the revenues and analyze the trends in each of the following sub-markets:
Based on Component, the market was studied across Services and Software.
Based on Type, the market was studied across Disk-Based Data Fabric and In-Memory Data Fabric.
Based on Organization Size, the market was studied across Large Enterprises and Small and Medium-Sized Enterprises.
Based on Business Application, the market was studied across Business Process Management, Customer Experience Management, Fraud Detection and Security Management, Governance, Risk, and Compliance Management, and Sales and Marketing Management.
Based on Deployment Mode, the market was studied across Cloud and On-Premises.
Based on Vertical, the market was studied across Banking, Financial Services, and Insurance, Energy and Utilities, Government, Healthcare and Life Sciences, Manufacturing, Media and Entertainment, Retail and E-Commerce, and Telecommunications and IT.
Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.
Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.
Cumulative Impact of 2022 Russia Ukraine Conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for Data Fabric market considering the current update on the conflict and its global response.
Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.
FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Data Fabric Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.
Competitive Scenario:
The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.
Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Data Fabric Market, including Cinchy, Cluedin, Dell Technologies, Denodo Technologies, Global IDS, Gluent, Hexstream, HPE, IBM, Idera, Iguazio, Informatica, Netapp, Inc., Nexla, Oracle, Precisely, Qomplx, SAP, Software Ag, Splunk, Inc., Starburst Data, Stardog, Talend, Teradata, and Tibco Software.
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:
1. What is the market size and forecast of the Global Data Fabric Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Data Fabric Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Data Fabric Market?
4. What is the competitive strategic window for opportunities in the Global Data Fabric Market?
5. What are the technology trends and regulatory frameworks in the Global Data Fabric Market?
6. What is the market share of the leading vendors in the Global Data Fabric Market?
7. What modes and strategic moves are considered suitable for entering the Global Data Fabric Market?
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Easy integration, and centralized access to multi-sourced data across an organization
5.1.1.2. Availability of real-time information and the easy replacement of legacy systems without disrupting business processes
5.1.1.3. Necessity of the data fabric architecture is the thresholds of traditional data management options
5.1.2. Restraints
5.1.2.1. Lack of infrastructure for data fibres intensity, and capability of responding to market changes, or in predicting risks or cyber-attacks, or in streamlining business processes requires the matching infrastructure of data fabric
5.1.3. Opportunities
5.1.3.1. Helps in enhancement of hybrid cloud to embrace newer customer channels and novel technology-driven opportunities
5.1.3.2. Facilitating AI-drive technologies for business management
5.1.4. Challenges
5.1.4.1. Effect of scaling the large available data leading to increasing information loss and administrative cost of maintaining clustered systems
5.2. Cumulative Impact of COVID-19
6. Data Fabric Market, by Component
6.1. Introduction
6.2. Services
6.3. Software
7. Data Fabric Market, by Type
7.1. Introduction
7.2. Disk-Based Data Fabric
7.3. In-Memory Data Fabric
8. Data Fabric Market, by Organization Size
8.1. Introduction
8.2. Large Enterprises
8.3. Small and Medium-Sized Enterprises
9. Data Fabric Market, by Business Application
9.1. Introduction
9.2. Business Process Management
9.3. Customer Experience Management
9.4. Fraud Detection and Security Management
9.5. Governance, Risk, and Compliance Management
9.6. Sales and Marketing Management
10. Data Fabric Market, by Deployment Mode
10.1. Introduction
10.2. Cloud
10.3. On-Premises
11. Data Fabric Market, by Vertical
11.1. Introduction
11.2. Banking, Financial Services, and Insurance
11.3. Energy and Utilities
11.4. Government
11.5. Healthcare and Life Sciences
11.6. Manufacturing
11.7. Media and Entertainment
11.8. Retail and E-Commerce
11.9. Telecommunications and IT
12. Americas Data Fabric Market
12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States
13. Asia-Pacific Data Fabric Market
13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam
14. Europe, Middle East & Africa Data Fabric Market
14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom
15. Competitive Landscape
15.1. FPNV Positioning Matrix
15.1.1. Quadrants
15.1.2. Business Strategy
15.1.3. Product Satisfaction
15.2. Market Ranking Analysis, By Key Player
15.3. Market Share Analysis, By Key Player
15.4. Competitive Scenario
15.4.1. Merger & Acquisition
15.4.2. Agreement, Collaboration, & Partnership
15.4.3. New Product Launch & Enhancement
15.4.4. Investment & Funding
15.4.5. Award, Recognition, & Expansion
16. Company Usability Profiles
16.1. Cinchy
16.1.1. Business Overview
16.1.2. Key Executives
16.1.3. Product & Services
16.2. Cluedin
16.2.1. Business Overview
16.2.2. Key Executives
16.2.3. Product & Services
16.3. Dell Technologies
16.3.1. Business Overview
16.3.2. Key Executives
16.3.3. Product & Services
16.4. Denodo Technologies
16.4.1. Business Overview
16.4.2. Key Executives
16.4.3. Product & Services
16.5. Global IDS
16.5.1. Business Overview
16.5.2. Key Executives
16.5.3. Product & Services
16.6. Gluent
16.6.1. Business Overview
16.6.2. Key Executives
16.6.3. Product & Services
16.7. Hexstream
16.7.1. Business Overview
16.7.2. Key Executives
16.7.3. Product & Services
16.8. HPE
16.8.1. Business Overview
16.8.2. Key Executives
16.8.3. Product & Services
16.9. IBM
16.9.1. Business Overview
16.9.2. Key Executives
16.9.3. Product & Services
16.10. Idera
16.10.1. Business Overview
16.10.2. Key Executives
16.10.3. Product & Services
16.11. Iguazio
16.11.1. Business Overview
16.11.2. Key Executives
16.11.3. Product & Services
16.12. Informatica
16.12.1. Business Overview
16.12.2. Key Executives
16.12.3. Product & Services
16.13. Netapp, Inc.
16.13.1. Business Overview
16.13.2. Key Executives
16.13.3. Product & Services
16.14. Nexla
16.14.1. Business Overview
16.14.2. Key Executives
16.14.3. Product & Services
16.15. Oracle
16.15.1. Business Overview
16.15.2. Key Executives
16.15.3. Product & Services
16.16. Precisely
16.16.1. Business Overview
16.16.2. Key Executives
16.16.3. Product & Services
16.17. Qomplx
16.17.1. Business Overview
16.17.2. Key Executives
16.17.3. Product & Services
16.18. SAP
16.18.1. Business Overview
16.18.2. Key Executives
16.18.3. Product & Services
16.19. Software Ag
16.19.1. Business Overview
16.19.2. Key Executives
16.19.3. Product & Services
16.20. Splunk, Inc.
16.20.1. Business Overview
16.20.2. Key Executives
16.20.3. Product & Services
16.21. Starburst Data
16.21.1. Business Overview
16.21.2. Key Executives
16.21.3. Product & Services
16.22. Stardog
16.22.1. Business Overview
16.22.2. Key Executives
16.22.3. Product & Services
16.23. Talend
16.23.1. Business Overview
16.23.2. Key Executives
16.23.3. Product & Services
16.24. Teradata
16.24.1. Business Overview
16.24.2. Key Executives
16.24.3. Product & Services
16.25. Tibco Software
16.25.1. Business Overview
16.25.2. Key Executives
16.25.3. Product & Services
17. Appendix
17.1. Discussion Guide
17.2. License & Pricing