What is the Global market size of the In-Memory Computing Market?

Global In-Memory Computing Market size was valued at USD 12.79 billion in 2021 and is poised to grow from USD 14.45 billion in 2022 to USD 40.5 billion by 2030, growing at a CAGR of 12.5% in the forecast period (2023-2030).

Global In-Memory Computing Market Size, Share, Growth Analysis, By Component(In-memory Data Management, In-memory Application Platform), By Organization Size(Small & Medium Business, Large Enterprise), By Vertical(BSFI, Transportation), By Application(Risk Management & Fraud Detection, Sentiment Analysis) - Industry Forecast 2024-2031

Report ID: SQMIG45C2067 | Region: Global | Published Date: February, 2024
Pages: 157 | Tables: 124 | Figures: 77

Global In-Memory Computing Market Insights

In-Memory Computing Market size was valued at USD 12.79 billion in 2019 and is poised to grow from USD 14.45 billion in 2023 to USD 40.5 billion by 2031, growing at a CAGR of 12.5% in the forecast period (2024-2031).

In-memory computation (or in-memory computing) is the technique of running computer calculations entirely in computer memory (e.g., in RAM). This term typically implies large-scale, complex calculations which require specialized systems software to run the calculations on computers working together in a cluster. As a cluster, the computers pool together their RAM so the calculation is essentially run across computers and leverages the collective RAM space of all the computers together. Global In-memory computing market is growing excessively as the demand for fast processing memory systems and grids are rising, corporates add fast-paced in-memory computing system to improve the performance and expand their space in the respected market. In the fast-paced, performance-driven market eco-system, the concept of faster the better plays a vital part. Global in-memory computing market proliferates as it becomes a faster and better way to store data. An in-memory computing system saves time, costs and enhances the operability of any corporate space that deals with data.

Tech giants Lenovo and Intel tied up with Chinese BGI Genomics to use their technology on their platforms to accelerate the recovery process. This explains the mixed impact of covid-19 on the global in-memory computing market. 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 Omni channel customer experience goals. 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.

US In-Memory Computing Market is poised to grow at a sustainable CAGR for the next forecast year.

Global In-Memory Computing Market Report Snapshots

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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. 'GigaSpaces', 'GridGain Systems, Inc.', 'Hazelcast, Inc.', 'SAP SE', 'IBM Corporation', 'Oracle Corporation', 'Microsoft Corporation', 'Amazon Web Services, Inc.', 'Pivotal Software, Inc.', 'Software AG', 'Red Hat, Inc.', 'TIBCO Software Inc.', 'Altibase Corp.', 'ScaleOut Software, Inc.', 'Aerospike, Inc.', 'MemSQL, Inc.', 'Couchbase, Inc.', 'VoltDB, Inc.', 'Starcounter AB', 'Alachisoft'

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.

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