The global data discovery market size is expected to reach USD 30.35 Billion in 2030 and register a steady revenue CAGR of 15.6% over the forecast period, according to latest analysis by Emergen Research. Steady data discovery market revenue growth can be attributed to need to discover sensitive structured and unstructured data. Knowing customers data has much commercial importance as consumers are critical to modern digital businesses. Companies invest a lot of time trying to understand their consumers, first through Master Data Management (MDM) technology and to more recently using sophisticated big data analytics. However, as businesses increase the number of digital touch points beyond the desktop web and include smart devices, wearables, AI assistants, and IoT, previous approaches for centralizing data and combining knowledge become less viable. Currently, data ‘seeps’ through structured, semi-structured, and unstructured data repositories with ease. It also spreads across data centers and cloud, big data, data lakes, and numerous other internal and external applications. There is customer data everywhere, encoded in a variety of methods and languages. Hence, data discovery is necessary to find such data.
It also provides thorough coverage of various strategic alliances, including partnerships, joint ventures, product launches, brand promotions, and mergers and acquisitions. Key strategic alliances for product development and advancements is expected to add traction to market growth going ahead. The report also covers an in-depth analysis of the key competitors of the market along with their growth strategies and business expansion plans.
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Competitive Terrain:
The section on the competitive landscape offers valuable and actionable insights related to the business sphere of the Data Discovery market, covering extensive profiling of the key market players. The report offers information about market share, product portfolio, pricing analysis, and strategic alliances such as mergers and acquisitions, joint ventures, collaborations, partnerships, product launches and brand promotions, among others. The report also discusses the initiatives taken by the key companies to combat the impact of the COVID-19 pandemic.
The leading market contenders listed in the report are:
IBM, Microsoft, Oracle, Salesforce, Inc., SAS Institute, Inc., Google, Amazon Web Services, Inc., MicroStrategy, Micro Focus, Thales
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Emergen Research has segmented the global Data Discovery market on the basis of type, application, end-use, and region:
Component Outlook (Revenue, USD Million; 2019–2030)
- Solutions
- Services
- Professional Services
- Managed Services
Deployment Mode Outlook (Revenue, USD Million; 2019–2030)
- On-Premises
- Cloud
- Public Cloud
- Private Cloud
- Hybrid Cloud
Vertical Outlook (Revenue, USD Million; 2019–2030)
- Banking, Financial Services, Insurance
- Government
- Healthcare Life Sciences
- Retail
- Manufacturing
- Media Entertainment
- Telecommunications Information Technology
- Transportation Logistics
- Other Verticals
The various regions analyzed in the report include:
- North America (U.S., Canada)
- Europe (U.K., Italy, Germany, France, Rest of EU)
- Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
- Latin America (Chile, Brazil, Argentina, Rest of Latin America)
- Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
Key Objectives of the Report:
- Analysis and estimation of the Data Discovery Market size and share for the projected period of 2022-2030
- Extensive analysis of the key players of the market by SWOT analysis and Porter’s Five Forces analysis to impart a clear understanding of the competitive landscape
- Study of current and emerging trends, restraints, drivers, opportunities, challenges, growth prospects, and risks of the global Data Discovery Market
- Analysis of the growth prospects for the stakeholders and investors through the study of the promising segments
- Strategic recommendations to the established players and new entrants to capitalize on the emerging growth opportunities
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