The report studies the factors influencing the growth of the industry in the global market and offers accurate predictions about the growth pattern. The report pays special attention to the key elements of the market, such as drivers, restraints, opportunities, threats, risks, limitations, and other aspects. The report covers a comprehensive analysis of the competitive landscape with a detailed analysis of the company profiles, product portfolio, and business expansion strategies.
Global in-memory computing market revenue is expected to increase significantly over the forecast period due to rising demand for faster processing and analytics on big data. Rising need for unifying transactional and analytical processing for real-time insights and closed-loop analytics is expected to further augment revenue growth of the global in-memory computing market going ahead. Increasing introduction of Artificial Intelligence (AI) and Machine Learning (ML)-based technologies for gaining real-time actionable consumer insights is expected to boost global in-memory computing market growth in the near future.
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Regional Overview:
The global In-Memory Computing market has been categorized on the basis of key geographical regions into North America, Asia Pacific, Europe, Latin America, and Middle East & Africa. It evaluates the presence of the global In-Memory Computing market in the major regions with regards to market share, market size, revenue contribution, sales network and distribution channel, and other key elements.
Leading companies profiled in the report:
Microsoft Corporation, Oracle Corporation, SAP SE, International Business Machines Corporation, TIBCO Software Inc., Intel Corporation, MongoDB Inc., Giga Spaces Technologies Inc., Grid Gain Systems, and Teradata Corporation.
Emergen Research has segmented the global in-memory computing market on the basis of deployment, solution, application, end-use, and region:
Deployment Outlook (Revenue, USD Billion; 2018–2028)
- On-premises
- Cloud
Solution Outlook (Revenue, USD Billion; 2018–2028)
- In-Memory Database
- Data Stream Processing
- In-Memory Data Grid
Application Outlook (Revenue, USD Billion; 2018–2028)
- GIS Processing
- Predictive Analytics
- Sales & Marketing
- Sentiment Analysis
- Supply Chain Management
- Risk Management & Fraud Detection
- Others
End-use Outlook (Revenue, USD Billion; 2018–2028)
- Government
- IT and telecom
- Healthcare
- BFSI
- Transportation & Logistics
- Energy and Utilities
- Retail & E-commerce
- Others
Key point summary of the report:
- The report offers a comprehensive overview of the market size, share, and growth rate in the forecast duration.
- It provides details about current scenario, historical data, giving an accurate market forecast for the coming years.
- The study categorizes the market on the basis of product types, applications, end users, market value and volume, business verticals, and 5 major regions.
- It also offers regional market analysis and forecast for prominent geographies in the sector viz., North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.
- Industry supply chain, sourcing strategy, upstream feedstock, and downstream demand analysis has also been undertaken in the research report.
- The study offers a comprehensive understanding of the demand and supply dynamics, including production and consumption rates, and mapping of the overall market.
- The report employs different analytical tools including, SWOT analysis, Porter’s five forces analysis, and pricing analysis, to give precise market information.
Regional segmentation comprises of a current and forecast estimation of the market in the key geographical regions such as North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
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About Us:
At Emergen Research, we believe in advancing with technology. We are a growing market research and strategy consulting company with an exhaustive knowledge base of cutting-edge and potentially market-disrupting technologies that are predicted to become more prevalent in the coming decade.
