Global In-Memory Computing Market by Component (In-Memory Data Management (IMDM) and In-Memory Application Platform (IMAP)), Sub-Components (IMDB, IMDG), Solutions (OLAP, OLTP), Verticals (BFSI, Retail, Government, & others) - Forecast to 2027

Updated On: January, 2024
ID: 10271
Pages: 150

Global In-Memory Computing Market Size & Growth (2021 – 2026)

The global in-memory computing market size is foreseen to progress from $ 23.58 billion in 2020 to $ 43.15 billion by 2025, at an estimated compound annual growth rate (CAGR) of about 32.9% from 2020 to 2025

In-memory computing involves storing of data in the main memory (RAM) of dedicated servers instead of complex relational databases that work on slower disk drives. The type of components, such as in-memory data management and in-memory applications, are considered outside the scope of the report. In-memory applications include scan-to-memory and the in-memory application server.

To maintain a competitive advantage and meet the demands for an optimal customer experience in today's environment, companies are looking for solutions to deal with the ever-increasing amount of data available and endless demands for better and faster performance. This stimulates the development of in-memory computing technologies.

Over the past few years, companies across a wide range of industries have increasingly embraced in-memory computing platforms to achieve the performance and scalability of the applications they need to meet their digital transformation goals or omnichannel customer experience.

In-memory computing allows users to analyze large amounts of data faster and generally reduces storage latency. In-memory computation affects various processes such as integration, allowing faster decision making and lower costs. Thus, it is possible to take advantage of the large data volume. It is basically referred to the movement of data traditionally stored on hard drives into main memory. By storing data in main memory, processing latency is greatly reduced.

Recent Developments:

  • July 2019: Intel and SAP confirmed about their long-term technology collaboration that focuses on the optimization of Intel platforms, which comprises Intel Xeon Scalable processors and Intel Optane DC persistent memory, for the whole SAP enterprise software applications. end, including SAP S/4 HANA. The partnership will use Intel technologies to power the SAP platform technologies that underpin its business applications, including real-time in-memory computing, big data streaming and analytics, blockchain, virtual reality and augmented, machine learning and artificial intelligence, Internet of things and security.
  • May 2019: TIBCO acquires SnappyData, a provider of a data platform based on Spark. It is believed that the acquisition will allow data scientists with a highly scalable, high-speed in-memory data warehouse to explore new, larger data sets.

Impact of Covid-19 on In-Memory Computing Market:

The Covid-19 outbreak will affect the chip manufacturing industry in the short term, as several operations have been halted due to the global lockdown. At the same time, companies in this industry are merging to identify a cure for this pandemic with the help of advanced computing, that uses IMC for analysis. For example, Intel and Lenovo recently worked with Beijing-based BGI Genomics to apply their technology and expertise to further accelerate analysis of the genomic characteristics of COVID-19.

Market Growth and Trends:

In-memory data management to play a crucial role in the business growth in future

In-memory data management is the process of tracking and managing the storage retrieval and operations of data stored in the memory of a computer, server, or other computing device. In-memory technology has become a basic part of the world of data, now available from most major database vendors. In memory, workloads can be processed up to 100 times faster than disk-to-memory configurations, enabling companies to work at the speed of thought.

Databases and in-memory technologies allow decision makers to access the information they seek more quickly and easily. Although in-memory technology is in the market for several years, the need for smart, interactive experiences that require back-end systems and applications to support performance and incorporate faster data movement and delivery.

Additionally, the use of NoSQL platforms, including documents, charts, columns, and in-memory, which are still in the early days of adoption, will also see an increase, driven by new applications for the technology and greater availability of skills and experience.

Market Drivers and Restraints:

  • The features of in-memory computing technology to enhance speed, flexibility, scalability and availability at an affordable price has been the crucial driver for growth in the global marketplace. The lack of standards for migrating from traditional systems to newer IMC compliant systems can lead to compatibility issues, which should also be a major challenge for the industry. The high cost of migrating from the traditional to the sophisticated system should also be a problem.
  • There are several factors that are benefiting the growth of the in-memory computing market. These factors include the exponential growth of big data and better analytical performance. Another factor that positively affects the in-memory computing market is the reduction in the cost of RAM in the market. Data volatility and concerns about data security are factors restricting the growth of the overall market for in-memory computing.

GLOBAL IN-MEMORY COMPUTING MARKET REPORT COVERAGE:

REPORT METRIC

DETAILS

Market Size Available

2020 – 2026

Base Year

2020

Forecast Period

2022 - 2027

CAGR

32.9%

Segments Covered

By Component, Sub-Component, Solution, Vertical, and Region.

Various Analyses Covered

Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities

Regions Covered

North America, Europe, APAC, Latin America, Middle East & Africa

Market Leaders Profiled

IBM, Microsoft, SAP SE, Oracle, Altibase and Others.

 

Global In-Memory Computing Market segmentation:

The global in-memory computing market has been segmented by component, subcomponent, vertical, solution, and region.

Global In-Memory Computing Market - By Component:

The two main segments of the in-memory computing market are in-memory data management and the in-memory application platform.

Global In-Memory Computing Market - By Sub-Component:

In this market, the in-memory data grid, a subcomponent of the in-memory data management system, is expected to have the highest growth rate.

Global In-Memory Computing Market - By Solution:

Depending on the solutions, the worldwide market is bifurcated into OLAP and OLTP.

Global In-Memory Computing Market - By Vertical:

Based on the verticals, the global market is divided into BFSI, Retail, Government, & others.

Regional Analysis:

Geographically, the worldwide market is divided into the regions of North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.

The Asia-Pacific is estimated to be the fastest growing region, due to the presence of countries such as China, Japan and India. These countries serve as a hub for companies like BPO and KPO and are therefore known as the manufacturing plants of the world. The fundamental foundation of these organizations is the huge amounts of data that must be stored, analyzed and then used for decision making. This indicated the enormous growth potential of the IMC market in Asia-Pacific.

Key market players:

The market is consolidated with key players such as IBM, Microsoft, SAP SE, Oracle, Altibase and others.

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