Global Cognitive Data Management Market, By Component (Solutions and Service), Business Function (Operations, Sales & Marketing, Finance, Legal, Human Resource), Deployment Type (On-Premises, Cloud), Vertical (BFSI, Healthcare & Pharmaceuticals, Manufacturing, Telecom, IT, Media, Government & Legal Services, Others), Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa)– Industry Trends and Forecast to 2025
Market Analysis: Global Cognitive Data Management Market
The Global Cognitive Data Management Market was valued at USD 524.8 million in 2017 and is expected to reach USD 1,643.2 million in 2025, growing at a healthy CAGR of 30.1% for the forecast period of 2018 to 2025. The upcoming market report contains data for historic year 2016, the base year of calculation is 2017 and the forecast period is 2018 to 2025.
Market Definition: Global Cognitive Data Management Market
The data management is the primary and most important task of IT but is also been sadly undervalued and largely ignored. The cognitive data management helps in looking for leverages because of the recent advancements made in the cognitive computing to automate the overall manual activities within data management. As the technologies are being developed, the complex data volume is also increasing. To reduce the administrative burden that is imposed by data management the cognitive data management are used. For providing the contemporary data management strategy, synchronizing with the storage resources management engine, and data management policy framework, the cognitive management is used. In 2016, RAVN Systems launched RAVN Connect Enterprise with Google Search Appliance replacement program. This RAVN Connect Enterprise can connect enterprise which differs from other search solutions with its cognitive features and undertakes enterprise search and unstructured data management. Hence, the market for data management is increasing due developments in computing technology and advanced analytics.
- Raise in IoT based devices up-shifting the amount of digital data
- Adoption of cognitive computing technology and advanced analytics
- Increasing volume of complex data
- Streamlining business operations
- Prevailing data security anxieties
- Complex analytical process
Segmentation: Global Cognitive Data Management Market
- Data Integration & Migration
- Data Governance & Quality
- Consulting Services
- Integration Services
- Support & Maintenance Services
- Operations, Sales & Marketing
- Finance, Legal
- Human Resource
- Healthcare & Pharmaceuticals
- Telecom, IT, and Media
- Government & Legal Services
- North America
- United Kingdom
- Rest of Europe
- South Korea
- Rest of Asia-Pacific
- South America
- Rest of South America
- Middle East & Africa
- South Africa
- Saudi Arabia
- United Arab Emirates
- Rest of MEA
Competitive Landscape: Global Cognitive Data Management Market
The global cognitive data management market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of cognitive data management market for global, Europe, North America, Asia Pacific, South America and Middle East & Africa.
In 2018, Nlyte, a software vendor company collaborated with IBM to integrate Watson machine learning into its data centre infrastructure management (DCIM) product. This machine learning is a cognitive DCIM platform that helps in maintaining workloads before problems arises.
Key Market Competitors: Global Cognitive Data Management Market
The key players operating in the global cognitive data management market are –
- SAP SE
The other players in the market are Veritas, Wipro, Datum, Reltio, Talend, HPE, Oracle, Saksoft, Snaplogic, Strongbox Data Solutions, Immuta, Attivio, Sparkcognition, Expert System, Cogntivescale, Pingar, and many more.
Research Methodology: Global Cognitive Data Management Market
Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analysed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please Request an Analyst Call or can drop down your inquiry.
The key research methodology used by DBMR Research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. 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, drop in an inquiry to speak to our industry experts.
Key Insights in the report:
- Historical and current market size and projection up to 2025
- Market trends impacting the growth of the global cognitive data management market Analyze and forecast the cognitive data management market on the basis of component, business function, deployment type, and vertical
- Trends of key regional and country-level markets for component, business function, deployment type, and vertical
- Company profiling of key players which includes business operations, product and services, geographic presence, recent developments and key financial analysis