In-Memory Computing Market Size
| Study Period | 2019 - 2029 |
| Base Year For Estimation | 2023 |
| CAGR | 25.37 % |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
| Market Concentration | Medium |
Major Players
*Disclaimer: Major Players sorted in no particular order |
In-Memory Computing Market Analysis
The In-memory Computing Market was valued at USD 15.96 billion in 2020 and expected to reach USD 61.66 billion by 2026 and grow at a CAGR of 25.37% over the forecast period (2021-2026). Adoption of In-memory Computing, also known as IMC, is on the rise. This can be attributed to the growing demand for faster processing and analytics on big data, the need for simplifying architecture as the number of various data sources increases, and technology enhancements that are optimizing total cost of ownership (TCO).
- To maintain a competitive edge and meet the demands for optimal customer experience in the current scenario, enterprises are seeking for solutions to deal with the constant upsurge of available data and the never-ending demands for better and faster performance. This is boosting the development of In-Memory Computing technologies.
- Over the past several years, companies across a broad range of industries increasingly started adopting in-memory computing platforms to achieve the application performance and scalability they need to achieve their digital transformation or omnichannel customer experience goals.
- For instance, American Airlines is using in-memory computing to accelerate response times, automate processes and meet SLAs for business applications that process huge datasets from multiple sources.
- Further, developments with respect to peer-to-peer transactions, bitcoins and mobile wallets are an addition to the instant payment capabilities. This enables the service providers to ensure a level of reliability and scale capacity ahead of demand. And, in-memory computing platform helps them by offering low latency, scalability and resilience.
- The outbreak of Covid-19 will affect the chip manufacturing industry in the short-term as several operations have come to a halt because of global lockdown. But at the same time, companies are collaborating to find the cure of this pandemic using advance computing, which uses IMC, for analysis. For instance, recently Intel and Lenovo collaborated with the Beijing-based BGI Genomics to apply its technology and expertise, and further accelerate the analysis of genomic characteristics of COVID-19.
In-Memory Computing Market Trends
This section covers the major market trends shaping the In-memory Computing Market according to our research experts:
In-memory Data Management to Hold Significant Share
In-memory data management is the process of monitoring and managing the storage retrieval and operations of data stored within a computer, server or other computing device memory.
- In-memory technology has become a relied-upon part of the data world, now available through most major database vendors. In-memory can process workloads up to 100 times faster than disk-to-memory configurations, which enables business at the speed of thought.
- In-memory databases and technologies enable decision makers to get to the information they are seeking rapidly and more readily.
- While in-memory technology has been on the market for many years, currently, the demand for intelligent, interactive experiences requires back-end systems and applications operating at high performance, and incorporating movement and delivery of data faster than ever before.
- According to a recent Unisphere-AWS survey, over the next 3 years, 60% of IT managers, DBAs, and C-level executives expect to store more data in the cloud than on-premise. In addition, the use of NoSQL platforms, including document, graph, columnar, and in-memory, which are still in the relatively early days of adoption, will also see an increase, spurred by new applications for the technology and an increased availability of skills and expertise.
Asia-Pacific to Witness Fastest Growth
- Asia-Pacific is estimated to be the fastest-growing region, owing to the presence of countries, such as China, Japan, and India. These countries act as the hub for enterprises such as BPOs and KPOs, and hence are known as manufacturing factories of the world. The very basic foundation of such organizations is the huge quantities of data that need to be stored, analyzed, and then used for the purpose of decision-making. This indicated the huge growth potential for the IMC market in Asia-Pacific.
- The increased demand for big data and growing number of SME’s offers huge opportunities for growth in this region. Increasing investment by several incumbent technology players are some of the factors driving the market in the APAC region.
- The in-memory computing market is consolidated, with major players, such as SAP SE, Microsoft, Oracle, Altibase, and others. These players adopted various strategies, such as new product developments, in addition to collaborations and partnerships, and business expansions to accommodate the needs of the market. The major market players have adopted acquisitions and integrations as major strategy to expand their market shares, security portfolio, and customer base.
In-Memory Computing Industry Overview
The competitive rivalry in this industry is high and this market is highly fragmented. Market incumbents, such as SAP, SAS, and Oracle Corporation have considerable influence on the overall market. Vendors of in-memory computing are increasingly focusing on delivering enhanced solutions that can cater to various requirements.
- July 2019 - Intel and SAP announced a multi-year technology partnership focused on optimizing Intel's platforms, including Intel Xeon Scalable processors and Intel Optane DC persistent memory, for end-to-end SAP enterprise software applications, including SAP S/4HANA. The partnership will use technologies from Intel to boost the SAP platform technologies that underpin its enterprise applications, including: real-time in-memory computing, streaming and Big Data analytics, blockchain, augmented and virtual reality, machine learning and artificial intelligence, Internet of Things, and security.
- May 2019 - TIBCO acquired SnappyData, a provider of a Spark-based data platform. The acquisition is estimated to enable data scientists with a high-speed, highly scalable in-memory data store to explore new, larger data sets
In-Memory Computing Market Leaders
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SAP SE
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SAS Institute Inc.
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TIBCO Software Inc.
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Oracle Corporation
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Software AG
*Disclaimer: Major Players sorted in no particular order
In-Memory Computing Market Report - Table of Contents
1. INTRODUCTION
- 1.1 Study Assumptions and Market Definition
- 1.2 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
- 4.1 Market Overview
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4.2 Industry Attractiveness - Porter's Five Forces Analysis
- 4.2.1 Bargaining Power of Suppliers
- 4.2.2 Bargaining Power of Buyers
- 4.2.3 Threat of New Entrants
- 4.2.4 Threat of Substitutes
- 4.2.5 Intensity of Competitive Rivalry
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4.3 Market Drivers
- 4.3.1 Explosion of Big Data
- 4.3.2 Growing Need for Rapid Data Processing
- 4.4 Market Restraints
- 4.5 Assessment of Impact of Covid-19 on the Industry
5. MARKET SEGMENTATION
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5.1 By Component
- 5.1.1 In-memory Data Management
- 5.1.2 In-memory Application
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5.2 By End-user Vertical
- 5.2.1 BFSI
- 5.2.2 Healthcare
- 5.2.3 IT & Telecom
- 5.2.4 Government
- 5.2.5 Other End-user Verticals
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5.3 Geography
- 5.3.1 North America
- 5.3.2 Europe
- 5.3.3 Asia-Pacific
- 5.3.4 Latin America
- 5.3.5 Middle East and Africa
6. COMPETITIVE LANDSCAPE
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6.1 Company Profiles
- 6.1.1 SAP SE
- 6.1.2 Oracle Corporation
- 6.1.3 Altibase Corporation
- 6.1.4 GridGain Systems inc.
- 6.1.5 Software AG
- 6.1.6 TIBCO Software Inc.
- 6.1.7 Gigaspaces Technologies Inc.
- 6.1.8 SAS Institute
- 6.1.9 Hazelcast Inc.
- 6.1.10 IBM Corporation
- 6.1.11 Microsoft Corporation
- 6.1.12 Mongodb
- 6.1.13 Datastax Inc.
- *List Not Exhaustive
7. INVESTMENT ANALYSIS
8. MARKET OPPORTUNITIES AND FUTURE TRENDS
** Subject To AvailablityIn-Memory Computing Industry Segmentation
In-memory computing is the storage of information in the main random access memory (RAM) of dedicated servers rather than in complicated relational databases operating on comparatively slow disk drives. Type of components such as In-memory Data Management and In-memory Applications are considered unde the scope of the report. The In-memory Applications include in-memory analytics and in-memory application server.
| By Component | In-memory Data Management |
| In-memory Application | |
| By End-user Vertical | BFSI |
| Healthcare | |
| IT & Telecom | |
| Government | |
| Other End-user Verticals | |
| Geography | North America |
| Europe | |
| Asia-Pacific | |
| Latin America | |
| Middle East and Africa |
In-Memory Computing Market Research FAQs
What is the current In-memory Computing Market size?
The In-memory Computing Market is projected to register a CAGR of 25.37% during the forecast period (2024-2029)
Who are the key players in In-memory Computing Market?
SAP SE, SAS Institute Inc., TIBCO Software Inc., Oracle Corporation and Software AG are the major companies operating in the In-memory Computing Market.
Which is the fastest growing region in In-memory Computing Market?
Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029).
Which region has the biggest share in In-memory Computing Market?
In 2024, the North America accounts for the largest market share in In-memory Computing Market.
What years does this In-memory Computing Market cover?
The report covers the In-memory Computing Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the In-memory Computing Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.
In-memory Computing Industry Report
Statistics for the 2024 In-memory Computing market share, size and revenue growth rate, created by Mordor Intelligenceā¢ Industry Reports. In-memory Computing analysis includes a market forecast outlook 2029 and historical overview. Get a sample of this industry analysis as a free report PDF download.
