Global Data Discovery Market

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.

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