In-Memory Computing Market Analysis and Revenue Growth: Gaining the Competitive Edge from Isha's blog

The global in-memory computing market size reached USD 11.55 Billion in 2020 and is expected to register a CAGR of 18.4%, during the forecast period, according to latest analysis by Emergen Research. 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.

The purpose of the In-Memory Computing is to provide intensive information about marketplace size, sales boom and marketplace dynamics to readers, stakeholders, organizations to reinforce their percentage withinside the worldwide In-Memory Computing marketplace. It additionally presents intensive data approximately key factors, restraints, limitations, demanding situations at the side of diverse marketplace segmentations consisting of product type, utility and local bifurcation.

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Competitive Terrain:

The global In-Memory Computing industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.

The leading market contenders listed in the report are:

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

Additional information offered by the report:

Along with a complete overview of the global In-Memory Computing market, the report provides detailed scrutiny of the diverse market trends observed on both regional and global levels.
The report elaborates on the global In-Memory Computing market size and share governed by the major geographies.
It performs a precise market growth forecast analysis, cost analysis, and a study of the micro- and macro-economic indicators.
It further presents a detailed description of the company profiles of the key market contenders.

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Segments Covered in this report are:

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

Radical Highlights of the In-Memory Computing Market Report:

Comprehensive overview of the In-Memory Computing market along with analysis of the changing dynamics of the market
Growth Assessment of various market segments throughout the forecast period
Regional and global analysis of the market players, including their market share and global position
Growth strategies adopted by key market players to combat the impact of the COVID-19 pandemic on the market
Impact of the technological developments and R&D advancements on the In-Memory Computing market
Information about profit-making strategies and developmental strategies of major companies and manufacturers
Insightful information for the new entrants willing to enter the market
Details and insights about business expansion strategies, product launches, and other collaborations
The report incorporates advanced analytical tools such as SWOT analysis, Porter’s Five Forces Analysis, feasibility analysis, and investment return analysis

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