USD 15.08 billion
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
Report ID:
SQMIG45C2067 |
Region:
Global |
Published Date: February, 2024
Pages:
157
|Tables:
124
|Figures:
77
In-Memory Computing Market Insights
In-Memory Computing Market size was valued at USD 14.45 Billion in 2023 and is poised to grow from USD 16.26 Billion in 2024 to USD 45.56 Billion by 2032, growing at a CAGR of 12.5% during the forecast period (2025-2032).
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.
Market snapshot - 2024-2031
Global Market Size
Largest Segment
in-memory data management
Fastest Growth
in-memory application platform
Growth Rate
16.5% CAGR
Global In-memory Computing Market, 2021-2028 ($ Bn)
Country Share for North America Region- 2021 (%)
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In-Memory Computing Market Segmental Analysis
Global In-Memory Computing Market is segmented by component, deployment, application, end-use vertical and region. Based on component, the market is segmented into in-memory data management and in-memory application platform. Based on deployment, the market is segmented into on-premises and cloud. Based on application, the market is segmented into GIS processing, predictive analytics, sales & marketing, sentiment analysis, supply chain management, risk management & fraud detection and others. Based on end-use vertical, the market is segmented into BFSI (banking, financial services, and insurance), healthcare, IT & telecom, government, transportation & logistics, energy and utilities, retail & e-commerce and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
In-Memory Computing Market Analysis by Component
In-memory data management will remain the largest component segment, as it has faster processing speed than disk-to-memory configuration, and in-memory databases and technologies enable decision makers to get to the information they are seeking rapidly and more readily. An in-memory database management system (IMDBMS) is a database management system (DBMS) that stores manage and manipulates data mostly in the main memory. This minimizes the instruction set required to retrieve data while eliminating the latency and overhead of hard disc storage. While storing data in memory improves performance, it is a costly technique of data storage. To get the most out of in-memory storage while keeping costs down, keep only the most often used data in memory and the rest on disc. Some systems constantly change where data is kept dependent on the data’s consumption because there is no hard distinction between which data should be saved in memory and which should be stored on a drive. The market in North America is expected to hold the largest in-memory database market share during the forecast period.
In-Memory Computing Market Analysis by Organizational Size
The small and medium enterprises segment dominated the market and held the largest market share. This growth is attributed to the growing number of SMEs. This enables business analysts and end-users to develop bespoke reports and queries without the need for extensive training or knowledge. Many customers appreciate the ease of navigation and the ability to change queries on the fly. Users get access to real-time data and can build reports in minutes since these dashboards can be refreshed with fresh data. In-call centres and warehouse management, in-memory processing may be especially useful. China has emerged as the leading destination for MSMEs (Micro Small & Medium Enterprises).
In-Memory Computing Market Analysis by Verticals
BFSI segment revenue is projected to register a high CAGR during the forecast period. The BFSI segment is expected to lead in terms of revenue contribution to the global in-memory computing market over the forecast period due to rising adoption of in-memory computing systems for various applications such as risk management & fraud detection, predictive analysis, and sales & marketing in the BFSI sector. Banking, Financial Services, and Insurance is abbreviated as BFSI.
The transportation & logistics segment is expected to register significant growth in terms of revenue during the forecast period due to rising usage of in-memory computing systems for predictive analytics in the transportation & logistics industry. In-memory computing systems are used in the transportation & logistics industry to run predictive analytics on equipment when logging, processing, and streaming large volumes of data to monitor and detect possible faults and to assist operators in lowering cost of maintenance, improving preventive maintenance, and quickly redirecting vehicles. Personal and laptop computers with multiple processors and cores (many CPUs on a single integrated circuit) are now readily available, and are being increasingly used in lower-end markets as a result. The proposed architecture’s CPU and PIM cores share the same physical memory space Memory can be accessed in two ways by the CPU. The CPU cache is utilized to send data from the CPU to the memory.
Global In-memory Computing Market By component type, 2021 (%)
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In-Memory Computing Market Regional Insights
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.
Asia Pacific is expected to register a significantly faster revenue growth rate than other regional markets during the forecast period due to increasing deployment of in-memory computing systems across SMEs for advanced analytics in countries in the region. In addition, increasing adoption of advanced technology in BFSI, government, and retail & e-commerce sectors in countries such as China, Japan, South Korea, and India is expected to augment revenue growth of the market in Asia Pacific. India, China, and Japan, have various KPOs and BPOs. These centers are required to store huge data, analyze them, which are then needed for decision making. There is also huge potential for SME’s growth in this region. Furthermore, increasing investment by various incumbent technology players is one of the factors propelling the market growth in the APAC region.
Global In-memory Computing Market By Geography, 2021-2028
- Largest
- Fastest
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In-Memory Computing Market Dynamics
In-Memory Computing Market Drivers
- 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.
In-Memory Computing Market Restraints
- Lack of skilled workforce and complexity involved in data extraction as in-memory computing is a new standard in technology development. The availability of trained technical staff and consulting professionals is the major challenge of IMC implementation. Many organizations or technology adopters suffer typical challenges with radical technologies in early adoption phases. These challenges include the lack of general standards and absence of proven architectural patterns. With the emergence of successful vendors, increase in the network of implementation partners, and recent open-source momentum, skill availability challenges are expected to drop rapidly; however, for the interim period, In-Memory Computing continues to be a niche technology and skill availability continues to be a challenge. Due to reasons such as the shortage of skilled workforce and complexity of big data solutions, organizations report trouble in extracting value from structured, unstructured, or semi-structured data. The complete life cycle of data analytics in cloud goes through various processes, including data discovery, data modeling, data mining, and visualization. These processes make big data analytics-related projects quite complex. Such complexities faced by business organizations across verticals act as obstacles for IMC solution vendors in the Global In-memory computing Market. According to World Economic Forum’s Future of Jobs 20184, the demand is accelerating for a variety of wholly new specialist roles related to understanding and leveraging the latest emerging technologies. These specialist roles are big data specialists, AI and ML specialists, process automation experts, information security analysts, user experience and human-machine interaction designers, robotics engineers, and blockchain specialists.
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In-Memory Computing Market Competitive Landscape
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.
Top Players in the Global In-Memory Computing 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)
In-Memory Computing Market Recent Developments
- On 13 January 2021, Oracle announced that Oracle Database 21c, the latest version of the world’s leading converged database, is available on Oracle Cloud, including the Always Free tier of Oracle Autonomous Database. Oracle Database 21c contains more than 200 new innovations, including immutable blockchain tables, In-Database JavaScript, native JSON binary data type, AutoML for in-database machine learning (ML), and persistent memory store, as well as enhancements for in-memory, graph processing performance, sharding, multitenant, and security.
- In August 2022, Stanford engineers present new chip that ramps up AI computing efficiency, Stanford engineers created a more efficient and flexible AI chip, which could bring the power of AI into tiny edge devices.
In-Memory Computing Key Market Trends
- 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.
In-Memory Computing Market SkyQuest Analysis
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates, and Analyses the Data collected utilizing Primary Exploratory Research backed by the robust Secondary Desk research.
According to our global In-memory computing market analysis, the exponential growth of big data to improve machine-driven decision-making, decrease in the overall cost of RAM and TCO, and an increase in production with real-time and low-latency transactional processing to drive the growth of global in-memory computing market. In addition, rising adoption of emerging technologies such as artificial intelligence and machine learning will create ample opportunities for the global in-memory computing market in the above mentioned forecast period.
| Report Metric | Details |
|---|---|
| Market size value in 2022 | USD 15.08 billion |
| Market size value in 2031 | USD 59.61 billion |
| Growth Rate | 16.5% |
| Base year | 2023 |
| Forecast period | 2024-2031 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
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| Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
- Exhibit: Executive Summary – Chart on Market Overview
- Exhibit: Executive Summary – Data Table on Market Overview
- Exhibit: Executive Summary – Chart on In-Memory Computing Market Characteristics
- Exhibit: Executive Summary – Chart on Market by Geography
- Exhibit: Executive Summary – Chart on Market Segmentation
- Exhibit: Executive Summary – Chart on Incremental Growth
- Exhibit: Executive Summary – Data Table on Incremental Growth
- Exhibit: Executive Summary – Chart on Vendor Market Positioning
Parent Market Analysis
Market overview
Market size
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- SWOT Analysis
KEY MARKET INSIGHTS
- Technology Analysis
- (Exhibit: Data Table: Name of technology and details)
- Pricing Analysis
- (Exhibit: Data Table: Name of technology and pricing details)
- Supply Chain Analysis
- (Exhibit: Detailed Supply Chain Presentation)
- Value Chain Analysis
- (Exhibit: Detailed Value Chain Presentation)
- Ecosystem Of the Market
- Exhibit: Parent Market Ecosystem Market Analysis
- Exhibit: Market Characteristics of Parent Market
- IP Analysis
- (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
- Trade Analysis
- (Exhibit: Data Table: Import and Export data details)
- Startup Analysis
- (Exhibit: Data Table: Emerging startups details)
- Raw Material Analysis
- (Exhibit: Data Table: Mapping of key raw materials)
- Innovation Matrix
- (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
- Pipeline product Analysis
- (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
- Macroeconomic Indicators
COVID IMPACT
- Introduction
- Impact On Economy—scenario Assessment
- Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
- Revised Market Size
- Exhibit: Data Table on In-Memory Computing Market size and forecast 2021-2027 ($ million)
- Impact Of COVID On Key Segments
- Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
- COVID Strategies By Company
- Exhibit: Analysis on key strategies adopted by companies
MARKET DYNAMICS & OUTLOOK
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- Regulatory Landscape
- Exhibit: Data Table on regulation from different region
- SWOT Analysis
- Porters Analysis
- Competitive rivalry
- Exhibit: Competitive rivalry Impact of key factors, 2021
- Threat of substitute products
- Exhibit: Threat of Substitute Products Impact of key factors, 2021
- Bargaining power of buyers
- Exhibit: buyers bargaining power Impact of key factors, 2021
- Threat of new entrants
- Exhibit: Threat of new entrants Impact of key factors, 2021
- Bargaining power of suppliers
- Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
- Competitive rivalry
- Skyquest special insights on future disruptions
- Political Impact
- Economic impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact
Market Size by Region
- Chart on Market share by geography 2021-2027 (%)
- Data Table on Market share by geography 2021-2027(%)
- North America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- USA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Canada
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Europe
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Germany
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Spain
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- France
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- UK
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Europe
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Asia Pacific
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- China
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- India
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Japan
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Korea
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Asia Pacific
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Latin America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Brazil
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of South America
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Middle East & Africa (MEA)
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- GCC Countries
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Africa
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of MEA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
KEY COMPANY PROFILES
- Competitive Landscape
- Total number of companies covered
- Exhibit: companies covered in the report, 2021
- Top companies market positioning
- Exhibit: company positioning matrix, 2021
- Top companies market Share
- Exhibit: Pie chart analysis on company market share, 2021(%)
- Total number of companies covered
Methodology
For the In-Memory Computing Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the In-Memory Computing Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the In-Memory Computing Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the In-Memory Computing Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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