In-Memory Computing Market Report 2025

The in-memory computing market size has grown rapidly in recent years. It will grow from $27.11 billion in 2024 to $32.45 billion in 2025 at a compound annual growth rate (CAGR) of 19.7%. The growth in the historic period can be attributed to increased data volumes, increased demand for real-time insights, digital transformation initiatives, explosion of big data, cybersecurity needs.

The in-memory computing market size is expected to see exponential growth in the next few years. It will grow to $76.81 billion in 2029 at a compound annual growth rate (CAGR) of 24%. The growth in the forecast period can be attributed to accelerated digital transformation, expansion of cloud-based solutions, greater emphasis on real-time decision support, financial sector applications, database performance optimization. Major trends in the forecast period include edge computing requirements, big data handling, IoT data processing, ai and machine learning, enhanced customer experience.

An increase in data volumes across various industries is anticipated to drive the growth of the in-memory computing market in the coming years. Factors such as rising data volumes, the shift of data to cloud-based solutions, and the growing number of IT users have contributed to an increase in data generation. As more employees are likely to be hired during periods of economic expansion, the need for additional software subscriptions arises, leading to further data accumulation. This escalating demand for data has consequently boosted the demand for in-memory computing, which allows data to be stored in RAM across a cluster of computers and processed in parallel, facilitating quicker and simpler operations. For instance, a report by Sky's The Limit (STL), a leading global optical and digital solutions company based in the US, estimated that the global data generated in 2021 reached 79 zettabytes. By 2025, this figure is expected to rise to approximately 150 zettabytes, doubling the expectations set in 2022. Therefore, the increase in data volumes will significantly propel the growth of the in-memory computing market.

An increase in cloud adoption is expected to drive the growth of the in-memory computing market in the future. In the context of computing and technology, the term 'cloud' refers to a network of remote servers hosted on the internet that stores, manages, and processes data, rather than relying on a local personal computer or server. In the realm of cloud adoption, in-memory computing plays a crucial role in enhancing data processing performance and efficiency. As organizations transition their operations to the cloud, in-memory computing technologies facilitate faster, real-time analytics by allowing data to be stored and retrieved directly from the system's memory. This method eliminates the delays typically associated with accessing data from traditional disk-based storage systems, enabling quicker decision-making and improved responsiveness. For example, a January 2023 article from Google, a US-based multinational technology company, indicated that 26% of individuals reported using multiple public clouds in 2022, up from 21% in 2021. Additionally, the use of hybrid cloud solutions rose from 25% to 42.5% in 2022. Therefore, the increase in cloud adoption is significantly driving the in-memory computing market.

Technological advancements stand as a prominent trend shaping the landscape of the in-memory computing market. Leading firms within this domain are pushing the boundaries of innovation, focusing on AI acceleration chips that serve as potent, high-performance parallel computation machines. These advancements are tailored for efficient processing, as seen in Samsung Electronics' January 2022 announcement of the world's inaugural MRAM-based in-memory computing. This breakthrough showcases an MRAM array chip, revolutionizing the conventional in-memory computing architecture by introducing a novel resistance sum design, effectively resolving issues related to individual MRAM device resistances.

Key players in the in-memory computing sector are rolling out pioneering products like the 64-core mixed-signal in-memory computing chip to fortify their market position. This chip, leveraging phase-change memory devices, exhibits enhanced support for deep neural network computations. For instance, in August 2023, the International Business Machines Corporation (IBM) launched its 64-core mixed-signal in-memory computing chip. This innovation is squarely aimed at maintaining the accuracy of deep learning algorithms while significantly reducing computation durations and energy usage. Comprising phase-change memory (PCM)-based cores integrated with digital computing processors, the chip's interconnectedness through an on-chip digital communication network enhances its functionality. With 64 analog PCM-based cores, each housing a 256-by-256 crossbar array of synaptic unit cells, this chip signifies a substantial stride toward an end-to-end analog AI inference accelerator chip.

In July 2022, Nordic Semiconductor, a Norway-based semiconductor company, completed the acquisition of Mobile Semiconductor for an undisclosed sum. This strategic move positions Nordic Semiconductor strongly to develop forthcoming products with high optimization capabilities. Mobile Semiconductor, based in the US, specializes in highly optimized embedded memory technology for microcontrollers (MCUs) and Systems-on-Chip (SoCs) and now operates as part of Nordic Semiconductor.

Major companies operating in the in-memory computing market are Microsoft Corporation, Oracle Corporation, SAP SE, International Business Machines Corporation, SAS Institute Inc., TIBCO Software Inc., Software AG, Gridgain Systems Inc., Altibase Corporation, Hazelcast Inc., Gigaspaces Technologies Inc., Intel Corporation, HCL Technologies Ltd., Exasol AG, Red Hat Inc., Aerospike Inc., Couchbase Inc., McObject LLC, Teradata Corporation, Fujitsu Ltd., MongoDB Inc., Oracle Corporation, Alachisoft, ArangoDB GmbH, Couchbase Inc., Redis Labs Inc., VoltDB Inc., Kognitio Ltd., MicroStrategy Inc., Actian Corporation.

North America was the largest region in the in-memory computing market share in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the in-memory computing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the in-memory computing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

In-memory computing represents a methodology focused on executing all computer calculations within computer memory, notably in RAM, rather than relying on slower disc drives within complex relational databases. Its primary aim is to swiftly aid business clients in identifying patterns, analyzing extensive data volumes, and conducting operations efficiently.

Comprising distinct facets of solutions and services, the key constituents of in-memory computing encompass the solution component. This segment involves solutions tailored to deliver real-time application performance and substantial scalability by transferring data from disk-based databases into RAM. These solutions find deployment across both cloud-based and on-premises setups, catering to enterprises of varying scales, including large corporations, small businesses, and medium-sized entities. They find wide-ranging applications in diverse business domains such as risk management, fraud detection, sentiment analysis, geospatial/GIS processing, sales and marketing optimization, predictive analysis, and supply chain management. Industries benefiting from these solutions span across Banking, Financial Services and Insurance (BFSI), IT and telecom, retail and e-commerce, healthcare and life sciences, transportation and logistics, government and defense, energy and utilities, media and entertainment, and other sectors.

The in-memory computing market research report is one of a series of new reports that provides in-memory computing market statistics, including in-memory computing industry global market size, regional shares, competitors with an in-memory computing market share, detailed in-memory computing market segments, market trends and opportunities, and any further data you may need to thrive in the in-memory computing industry. This in-memory computing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The in-memory computing market includes revenues earned by entities by providing in-memory data management and in-memory application components and services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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