The Global Data Discovery Market was valued at USD 4.53 billion in 2016 and is projected to reach USD 23.34 billion by 2025, growing at a CAGR of 19.98% from 2017 to 2025.
Data discovery is the process of extracting actionable patterns from data. The extraction is performed by humans or by artificial intelligence systems. Data discovery is a type of data use that relies on technologies that have enabled the aggregation and use of big data. Data discovery solution is easy to use, agile and flexible, reduces time to insights, allows easy handling of a high volume and variety of data, and provides real-time analytics.
Sample Infographics:
Market Dynamics:
1. Market Drivers
1.1 Rising usage of machine learning leads to rising data generation
1.2 Growing adoption by small and medium businesses
1.3 Increasing need for data-driven decision making
1.4 Increasing trend for self-service BI tools
1.5 Managing continuously growing data from multiple data sources
2. Market Restraints
2.1 Concerns for data security and privacy
2.2 Increasing complexities with data synchronization
Market Segmentation:
The Global Data Discovery Market is segmented on the organization size, component, deployment model, application, vertical, and region.
1. Organization Size:
1.1 Large Enterprises
1.2 Small and Medium Organizations
2. By Component:
2.1 Software
2.2 Services
2.2.1 Managed services
2.2.2 Professional services
2.2.2.1 Support and maintenance services
2.2.2.2 Consulting services
3. By Deployment Mode:
3.1 Cloud-based
3.2 On-premises
4. By Application:
4.1 Asset management
4.2 Risk management
4.3 Customer experience management
4.4 Social network analysis
4.5 Workforce management
4.6 Cost optimization
4.7 Network management and optimization
4.8 Supply chain management and procurement
4.9 Sales and marketing optimization
5. By Vertical:
5.1 Healthcare
5.2 Government and Defense
5.3 IT and Telecom
5.4 Banking, Financial Services, and Insurance (BFSI)
5.5 Transportation and Logistics
5.6 Retail and e-commerce
5.7 Media and Entertainment
5.8 Others
6. By Region:
6.1 North America (U.S., Canada, Mexico)
6.2 Europe (Germany, UK, France, Rest of Europe)
6.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
6.4 Latin America (Brazil, Argentina, Rest of Latin America)
6.5 Middle East & Africa
Competitive Landscape:
The major players in the market are as follows:
1. Oracle Corporation
2. SAP
3. Microstrategy, Inc.
4. Qlik Technologies, Inc.
5. Tibco Software Inc.
6. Platfora
7. Datameer, Inc
8. Cloudera, Inc.
9. Datawatch Corporation
10. Clearstory Data
11. Tableau Software, Inc.
12. Birst, Inc.
These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.
RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE:
Research study on the Global Data Discovery Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.
To know more about the Research Methodology of Verified Market Intelligence and other aspects of the research study, kindly get in touch with our sales team
INTRODUCTION OF GLOBAL DATA DISCOVERY MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions
2 EXECUTIVE SUMMARY
3 RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources
4 GLOBAL DATA DISCOVERY MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework
5 GLOBAL DATA DISCOVERY MARKET , BY ORGANIZATION SIZE
5.1 Overview
5.2 Large Enterprises
5.3 Small and Medium Organizations
6 GLOBAL DATA DISCOVERY MARKET , BY COMPONENT
6.1 Overview
6.2 Software
6.3 Services
6.3.1 Managed services
6.3.2 Professional services
6.3.2.1 Support and maintenance services
6.3.2.2 Consulting services
7 GLOBAL DATA DISCOVERY MARKET , BY DEPLOYMENT MODE
7.1 Overview
7.2 Cloud-based
7.3 On-premises
8 GLOBAL DATA DISCOVERY MARKET , BY APPLICATION
8.1 Overview
8.2 Asset management
8.3 Risk management
8.4 Customer experience management
8.5 Social network analysis
8.6 Workforce management
8.7 Cost optimization
8.8 Network management and optimization
8.9 Supply chain management and procurement
8.10 Sales and marketing optimization
9 GLOBAL DATA DISCOVERY MARKET , BY VERTICAL
9.1 Overview
9.2 Healthcare
9.3 Government and Defense
9.4 IT and Telecom
9.5 Banking, Financial Services, and Insurance (BFSI)
9.6 Transportation and Logistics
9.7 Retail and e-commerce
9.8 Media and Entertainment
9.9 Others
10 GLOBAL DATA DISCOVERY MARKET , BY GEOGRAPHY
10.1 Overview
10.2 North America Regional Market Estimates and Forecasts, 2012 - 2025
10.2.1 U.S.
10.2.2 Canada
10.2.3 Mexico
10.3 Europe Regional Market Estimates and Forecasts, 2012 - 2025
10.3.1 Germany
10.3.2 U.K.
10.3.3 France
10.3.4 Rest of Europe
10.4 Asia Pacific Regional Market Estimates and Forecasts, 2012 - 2025
10.4.1 China
10.4.2 Japan
10.4.3 India
10.4.4 Rest of Asia Pacific
10.5 Latin America Regional Market Estimates and Forecasts, 2012 - 2025
10.5.1 Brazil
10.5.2 Argentina
10.6 Rest of the World Regional Market Estimates and Forecasts, 2012 â€" 2025
11 GLOBAL DATA DISCOVERY MARKET COMPETITIVE LANDSCAPE
11.1 Overview
11.2 Company Market Share
11.3 Vendor Landscape
11.4 Key Development Strategies
12 COMPANY PROFILES
12.1 Oracle Corporation
12.1.1 Overview
12.1.2 Financial Performance
12.1.3 Product Outlook
12.1.4 Key Developments
12.2 SAP
12.2.1 Overview
12.2.2 Financial Performance
12.2.3 Product Outlook
12.2.4 Key Developments
12.3 Microstrategy, Inc.
12.3.1 Overview
12.3.2 Financial Performance
12.3.3 Product Outlook
12.3.4 Key Developments
12.4 Qlik Technologies, Inc.
12.4.1 Overview
12.4.2 Financial Performance
12.4.3 Product Outlook
12.4.4 Key Developments
12.5 Tibco Software Inc.
12.5.1 Overview
12.5.2 Financial Performance
12.5.3 Product Outlook
12.5.4 Key Developments
12.6 Platfora
12.6.1 Overview
12.6.2 Financial Performance
12.6.3 Product Outlook
12.6.4 Key Developments
12.7 Datameer, Inc
12.7.1 Overview
12.7.2 Financial Performance
12.7.3 Product Outlook
12.7.4 Key Developments
12.8 Cloudera, Inc.
12.8.1 Overview
12.8.2 Financial Performance
12.8.3 Product Outlook
12.8.4 Key Developments
12.9 Datawatch Corporation
12.9.1 Overview
12.9.2 Financial Performance
12.9.3 Product Outlook
12.9.4 Key Developments
12.10 Clearstory Data
12.10.1 Overview
12.10.2 Financial Performance
12.10.3 Product Outlook
12.10.4 Key Developments
12.11 Tableau Software, Inc.
12.11.1 Overview
12.11.2 Financial Performance
12.11.3 Product Outlook
12.11.4 Key Developments
12.12 Birst, Inc.
12.12.1 Overview
12.12.2 Financial Performance
12.12.3 Product Outlook
12.12.4 Key Developments
13 Appendix
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