In-Memory Computing Market Size, Share, Growth Analysis, By Component (In-Memory Data Management, In-Memory Application Platform), By Deployment (On-Premises, Cloud), By Application (GIS Processing, Predictive Analytics), By End-Use Vertical, By Region - Industry Forecast 2025-2032

Global In-Memory Computing Market size was valued at USD 15.08 billion in 2022 and is poised to grow from USD 17.57 billion in 2023 to USD 59.61 billion by 2031, growing at a CAGR of 16.5% during the forecast period (2024-2031). 

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. 'SAP SE (Germany) ', 'Oracle Corporation (USA) ', 'Microsoft Corporation (USA) ', 'IBM Corporation (USA) ', 'TIBCO Software Inc. (USA) ', 'SAS Institute Inc. (USA) ', 'Altibase Corporation (South Korea) ', 'GridGain Systems, Inc. (USA) ', 'GigaSpaces Technologies Inc. (Israel) ', 'Hazelcast Inc. (USA) ', 'MongoDB Inc. (USA) ', 'DataStax Inc. (USA) ', 'Software AG (Germany) ', 'Teradata Corporation (USA) ', 'Amazon Web Services, Inc. (USA) ', 'Salesforce.com, Inc. (USA) ', 'Hewlett Packard Enterprise (HPE) (USA) ', 'Fujitsu Limited (Japan) ', 'Red Hat, Inc. (USA) ', 'Intel Corporation (USA) '

As the number of transactions increases in enterprises, the amount of data also increases. In verticals such as telecommunication, BFSI, online gaming, and entertainment, data generated per second is huge. Due to the increasing data volumes, organizations are facing huge problems in processing large amounts of information within a specific time frame. Therefore, the use of traditional disk-based data management systems and the manipulation of massive data becomes quite difficult. IMC- based solutions such as IMDG and in-memory computing platform built around big data can handle three Vs because of their speed and scalability. These solutions process big data with the type of latencies that produce actionable insights and machine-driven decision-making. Through In-Memory Computing, organizations store data in the main memory of servers; hence the time, which is wasted in input/output operations, can be utilized for data processing. Thus, In-Memory Computing helps speed up the process of analyzing all the structured and unstructured data. Organizations are creating, collecting, storing, and hoping to capitalize on structured and unstructured data, driving the overall IMC market growth. BFSI organizations can track the effect of market fluctuations on their portfolios (‘strategies’) of long and short equity positions in various markets, and immediately identify strategies requiring rebalancing through In-Memory Computing.

With the emergence of AI and ML based technologies to gain real-time actionable customer insights the advent of emerging technologies such as AI and ML, companies are witnessing huge opportunities as these technologies offer real-time insights with in-built automation. IMC solutions with the AI technology can automatically capture complete agent-customer interactions to offer hidden insights and opportunities. AI in IMC supports businesses to optimize outcomes through valuable customer insights. In-Memory Computing makes the identification of actionable insights possible through high-volume discovery, as it offers both high-level views and drill-down details. Real-time IMC provides the next best actionable guidance message to agents, post customer interactions are captured and analyzed, leading to improved customer interaction and operational efficiency. The benefits and features of IMC include measuring accurate performance metrics, discovering call patterns and trends, staffing and training problems, training and back-end issues, and discovering new revenue streams. The use cases of real-time IMC are increasingly witnessed across verticals, such as BFSI, healthcare and life sciences, and retail and eCommerce. Additionally, the growing introduction of machine learning (ML) & artificial intelligence (AI)-based technologies for gaining real-time actionable consumer insights is anticipated to promote global in-memory computing market growth in the forecast period.

North America accounted for a relatively higher revenue share than other regional markets in the global In-memory computing market. Attributed to the recent development in the region, North America is an important market for IMC allowing for near real-time calculation of analytical conclusions from raw data, it helps to increase flexibility in two dimensions: the integration of new data sources and the adjustment of the analysis. Developers can simply update analytical techniques without putting in a lot of effort because all that is necessary is a query modification. In addition, robust presence of major players such as Microsoft Corporation, Oracle Corporation, International Business Machines Corporation, TIBCO Software Inc., and Intel Corporation, among others in countries in the region, is expected to boost revenue growth of the market in the region.