The global in-memory computing market size reached US$ 16.3 Billion in 2022. Looking forward, the publisher expects the market to reach US$ 41.3 Billion by 2028, exhibiting a growth rate (CAGR) of 16.8% during 2022-2028.
In-Memory Computing (IMC) refers to the process of storing information in the Random-Access Memory (RAM) of the dedicated servers instead of comparatively slower disk drives. It is a solution architecture that stores data in a number of clusters to deliver real-time processing insights. It is usually complemented by on-disk or solid-state storage for archiving, recovery and accessing historical data. It enables an organization to detect patterns, analyze large amounts of data and perform operations promptly. They are commonly used for services, such as investment banking, insurance claim modeling, social gaming, real-time advertising platforms, geospatial processing and medical imaging.
The emerging trend of digitization of business operations, along with the growing demand for real-time analysis of data, is one of the key factors driving the growth of the market. Organizations are adopting applications that can run advanced queries and perform complex analysis on large datasets. Moreover, IMC also aids in minimizing the load on the organization’s information technology (IT) infrastructure and overall operational costs while freeing up resources, boosting business insights and enhancing efficiencies. In line with this, increasing adoption of dynamic random-access memory (DRAM)-based IMC systems in the banking, financial services and insurance (BFSI) industry is also contributing to the market growth. Banks and other financial institutions use IMC for fraud detection, risk management, financial analysis and monitoring of transactions. Other factors, including improvements in the information technology (IT) sector, along with the rising demand for rapid data processing across industries, are projected to drive the market further.
In-Memory Computing (IMC) refers to the process of storing information in the Random-Access Memory (RAM) of the dedicated servers instead of comparatively slower disk drives. It is a solution architecture that stores data in a number of clusters to deliver real-time processing insights. It is usually complemented by on-disk or solid-state storage for archiving, recovery and accessing historical data. It enables an organization to detect patterns, analyze large amounts of data and perform operations promptly. They are commonly used for services, such as investment banking, insurance claim modeling, social gaming, real-time advertising platforms, geospatial processing and medical imaging.
The emerging trend of digitization of business operations, along with the growing demand for real-time analysis of data, is one of the key factors driving the growth of the market. Organizations are adopting applications that can run advanced queries and perform complex analysis on large datasets. Moreover, IMC also aids in minimizing the load on the organization’s information technology (IT) infrastructure and overall operational costs while freeing up resources, boosting business insights and enhancing efficiencies. In line with this, increasing adoption of dynamic random-access memory (DRAM)-based IMC systems in the banking, financial services and insurance (BFSI) industry is also contributing to the market growth. Banks and other financial institutions use IMC for fraud detection, risk management, financial analysis and monitoring of transactions. Other factors, including improvements in the information technology (IT) sector, along with the rising demand for rapid data processing across industries, are projected to drive the market further.
Key Market Segmentation:
The publisher provides an analysis of the key trends in each sub-segment of the global in-memory computing market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on component, organization size and vertical.Breakup by Component:
- In-Memory Data Management Solutions and Services
- Databases
- Data Grids
- In-Memory Computing Platforms
- Server Applications
- Analytics Applications
Breakup by Organization Size:
- Small and Medium Enterprises
- Large Enterprises
Breakup by Vertical:
- BFSI
- Healthcare
- IT and Telecom
- Government
- Others
Breakup by Region:
- North America
- United States
- Canada
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Others
- Europe
- Germany
- France
- United Kingdom
- Italy
- Spain
- Russia
- Others
- Latin America
- Brazil
- Mexico
- Others
- Middle East and Africa
Competitive Landscape:
The report has also analysed the competitive landscape of the market with some of the key players being Altibase Corp., Fujitsu Ltd., GigaSpaces Technologies Inc., GridGain Systems Inc., HCL Technologies Limited, International Business Machines Corporation, Microsoft Corporation, NTT DATA Corporation (Nippon Telegraph and Telephone), Oracle Corporation, SAP SE, SAS Institute Inc., Software AG, TIBCO Software Inc. (Vista Equity Partners), etc.Key Questions Answered in This Report:
- How has the global in-memory computing market performed so far and how will it perform in the coming years?
- What are the key regional markets?
- What has been the impact of COVID-19 on the global in-memory computing market?
- What is the breakup of the market based on the component?
- What is the breakup of the market based on the organization size?
- What is the breakup of the market based on the vertical?
- What are the various stages in the value chain of the industry?
- What are the key driving factors and challenges in the industry?
- What is the structure of the global in-memory computing market and who are the key players?
- What is the degree of competition in the industry?
Table of Contents
1 Preface3 Executive Summary11 Value Chain Analysis
2 Scope and Methodology
4 Introduction
5 Global In-Memory Computing Market
6 Market Breakup by Component
7 Market Breakup by Organization Size
8 Market Breakup by Vertical
9 Market Breakup by Region
10 SWOT Analysis
12 Porters Five Forces Analysis
13 Competitive Landscape
List of Figures
List of Tables
Companies Mentioned
- Altibase Corp.
- Fujitsu Ltd.
- GigaSpaces Technologies Inc.
- GridGain Systems Inc.
- HCL Technologies Limited
- International Business Machines Corporation
- Microsoft Corporation
- NTT DATA Corporation (Nippon Telegraph and Telephone)
- Oracle Corporation
- SAP SE
- SAS Institute Inc.
- Software AG and TIBCO Software Inc. (Vista Equity Partners)
Methodology
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