Global In-Memory Computing Market Size to Reach USD 86.67 Billion in 2032 | Emergen Research

Vancouver, Nov. 01, 2023 (GLOBE NEWSWIRE) -- 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. Growing need for simplifying database architecture is expected to drive revenue growth of the global in-memory computing market to a significant extent over the forecast period. Increasing need to optimize Total Cost Of Ownership (TOC) is another key factor expected to augment growth of the global in-memory computing market going ahead. Rising demand for in-memory computing systems in the e-commerce sector is also expected to boost market revenue growth over the forecast period.

However, lack of skilled professionals to operate in-memory computing systems is a key factor expected to hamper market growth to a certain extent over the forecast period.

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Scope of Research

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Major Companies and Competitive Landscape

The global in-memory computing market is fairly fragmented, with a number of large and medium-sized companies accounting for major revenue share. Key players are adopting various strategies, entering into mergers and acquisitions, strategic agreements and contracts, as well as developing and deploying more advanced technologies in in-memory computing systems, and introducing new and more efficient solutions in the market. Some prominent players operating in the in-memory computing market 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
• Teradata Corporation

Strategic Development

In February 2020, Giga Spaces, which is a provider of fastest in-memory real-time analytics processing platform named Insight Edge, announced that Insight Edge would be available as a managed service on Google cloud platform. Applications and services can query data from any source for a real-time view using Insight Edge on Giga Spaces Cloud, easily connecting all structured, semi-structured, and unstructured data to achieve a comprehensive view of the business.

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Some Key Highlights in the Report

• Rising adoption of cloud-based in-memory computing across various industries for reliability and fast data sharing is driving revenue growth of the cloud segment, which is expected to register a significantly rapid CAGR over the forecast period.
• In terms of revenue, the data stream processing segment is expected to register significant growth over the forecast period due to increasing adoption of data stream processing solutions across various industries for accelerating data delivery to enable real-time analytics.
• In terms of market share, predictive analytics segment is expected to register a significantly large revenue share during the forecast period due to rising adoption of in-memory computing systems for predictive analysis among end-users to automate manual business processes at faster speeds.
• The transportation & logistics segment is expected to register significant growth during the forecast period due to increasing usage of in-memory computing systems for predictive analytics in the transportation & logistics industry.
• Asia Pacific is expected to register fastest revenue growth rate during the forecast period due to increasing implementation of in-memory computing systems across SMEs for advanced analytics in countries in the region.

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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; 2019–2032)
  • On-premises
  • Cloud
• Solution Outlook (Revenue, USD Billion; 2019–2032)
  • In-Memory Database
  • Data Stream Processing
  • In-Memory Data Grid
• Application Outlook (Revenue, USD Billion; 2019–2032)
  • GIS Processing
  • Predictive Analytics
  • Sales & Marketing
  • Sentiment Analysis
  • Supply Chain Management
  • Risk Management & Fraud Detection
  • Others
• End-use Outlook (Revenue, USD Billion; 2019–2032)
  • Government
  • IT and telecom
  • Healthcare 
  • BFSI
  • Transportation & Logistics
  • Energy and Utilities
  • Retail & E-commerce
  • Others
• Regional Outlook (Revenue, USD Billion; 2019–2032)
  • North America
    1. U.S.
    2. Canada
    3. Mexico
  • Europe
    1. Germany
    2. France
    3. U.K.
    4. Italy
    5. Spain
    6. BENELUX
    7. Rest of Europe
  • Asia Pacific
    1. China
    2. India
    3. Japan
    4. South Korea
    5. Rest of APAC
  • Latin America
    1. Brazil
    2. Rest of LATAM
  • Middle East & Africa
    1. Saudi Arabia
    2. UAE
    3. South Africa
    4. Turkey
    5. Rest of MEA

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