The latest research report by Emergen Research, named ‘Global In-Memory Computing Market - Forecast to 2028, entails a comprehensive review of the global In-Memory Computing market’s present and future trends. The report gathers viable information on the most established industry players, sales and distribution channels, regional spectrum, estimated market share and size, and revenue estimations over the forecast timeframe. The study is inclusive of a profound analysis of this business sphere focuses on the overall remuneration of the market over the projected period. The study also includes significant information pertinent to the In-Memory Computing industry, particularly the current COVID-19 scenario. Exhaustive coverage of the COVID-19 impact on the In-Memory Computing industry is a major attraction of the report. The global health emergency has beleaguered the global economy, thereby disrupting this particular business domain’s functioning mechanism. It assesses the present market scenario and forecasts the pandemic’s aftermath in this business sector to help organizations boost their COVID-19 preparedness. The market intelligence report takes a closer view of the global market share, estimated growth rate, future market trends, entry-level barriers, fundamental market drivers, restraints, challenges, and opportunities. The report clearly defines the In-Memory Computing market position on a global level. The detailed insights into the market’s geographical spectrum offered by the report make it an excellent source of knowledge about the In-Memory Computing industry.

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.

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Global In-Memory Computing Market Geographical Landscape - Synopsis:

• The report closely studies the growth trajectory of the global In-Memory Computing market. It brings to light the global dominance of the leading regional segments, including North America, Asia Pacific, Europe, Latin America, and the Middle East & Africa.
• The study elaborates on the crucial information pertaining to the regional market share. It simultaneously focuses on the significant details about the growth patterns of each regional market.
• Moreover, the report encases an exhaustive geographical study of the market, emphasizing the business growth prospects and market barriers for each of the key market regions.

Key Companies Profiled 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

To learn more details about the Global In-Memory Computing Market report, visit @ https://www.emergenresearch.com/industry-report/in-memory-computing-market

Furthermore, the report provides the analytical data in an organized format segmented into charts, tables, graphs, figures, and diagrams. This enables readers to understand the market scenario in an easy and beneficial manner. Moreover, the report aims to impart a prospective outlook and draw an informative conclusion to assist the reader in making lucrative business decisions. The report, in conclusion, provides a detailed analysis of the segments expected to dominate the market, the regional bifurcation, the estimated market size and share, and comprehensive SWOT analysis and Porter’s Five Forces Analysis.

On the basis of type, the market is segmented into

• 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

Unfolding the prime factors prompting global market growth:

• The study offers an in-depth analysis of the product outlook, which depicts the latest production growth trends and profit valuation. It further fragments the global In-Memory Computing market into a broad product spectrum.
• The study covers essential data related to these products’ application landscape, the demand for and market share held by each application type, and their growth rate analysis over the estimated period.
• A detailed description of the distribution channels, including distributors, producers, and buyers, is one of the report’s key market highlights.

Elucidating the competitive landscape of the Global In-Memory Computing Market:

• The global In-Memory Computing market report offers viable insights into the competitive spectrum of the In-Memory Computing business sphere.
• The report systematically profiles the company information of each market player.
• It identifies the estimated industry share, production facilities, development prospects, and geographies served by each market player.
• The study showcases the extensive product portfolios of the prominent market contenders.
• It offers critical data & information about the product application scope and the end-user landscape.
• The study provides salient information about the pricing models of the products offered by these companies. Moreover, it determines the gross profits and losses experienced by them throughout their market tenures.

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