Market Highlights
The global in-memory computing market has been segmented based on component, application, deployment mode, organization size, vertical, and region.
Based on the component, the in-memory computing market has been segmented into solutions and services. The solution segment is further divided into in-memory database (IMDB), in-memory data grid (IMDG), and data stream processing. The in-memory database (IMDB) segment is further sub-classified into online analytical processing (OLAP) and online transaction processing (OLTP). The service segment is divided into professional services and managed services. The professional services segment is further sub-segmented into consulting, system integration and implementation, support, and maintenance.
Based on application, the in-memory computing market has been segmented into risk management and fraud detection, sentiment analysis, geospatial/GIS processing, sales and marketing optimization, predictive analysis, supply chain management, others. The other segment is sub-segmented into image processing, route optimization, claim processing and modeling, and trade promotion simulations.
Based on deployment mode, the in-memory computing market has been segmented into cloud and on-premises.
Based on organization size, the in-memory computing market has been segmented into SMEs and large enterprises.
Based on vertical, the in-memory computing market has been segmented into BFSI, IT & telecom, retail & e-commerce, healthcare & life sciences, transportation & logistics, government & defense, energy & utilities, media & entertainment, and others. The other segment is sub-segmented into education, manufacturing, and travel & hospitality.
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Regional Analysis
The global in-memory computing market is expected to expand at an XX% CAGR during the forecast period, to reach XX million by 2026. The geographic analysis of the market has been conducted for North America, Europe, Asia-Pacific, the Middle East & Africa, and South America.
North America is expected to be the dominant region in terms of the rising demand for analytics and advanced analytics platforms across several industrial sectors. The market has been divided into the US, Canada, and Mexico. The market in the US is expected to have the largest market share during the forecast period. The main factor driving the in-memory computing market in this region is the strong presence of key industry players and technical expertise offering in-memory computing and growing demand for in-memory database systems for quick storage and the fast transfer of files. The US and Canada dominate the North American market due to the rising technological enhancements and the established IT industry.
Asia-Pacific is likely to be the fastest-growing region due to the ability to provide outsourcing services in real-time intelligence with advanced predictive analytics for various different applications. The region has been segmented into China, Japan, India, and the rest of Asia-Pacific. Moreover, increasing adoption of in-memory computing technology by different verticals, such as manufacturing and retail, is one of the major reasons driving the market growth in APAC.
For the purpose of analysis, the European market has been divided into the UK, Germany, France, and the rest of Europe. In terms of market size, Europe is expected to be the second-largest region. The UK is projected to be the leading country-level market, while Germany is expected to register the highest growth over the review period. An increase in transactional and analytical needs across various industries in the region is the main factor that drives the regional market's growth.
The market in the Middle East & Africa and South America is expected to register steady growth during the study period with the growing number of SMEs. The enterprises operating in the IT & Telecom and government verticals in this region are expected to adopt in-memory computing technology.
Key Players
The key players of the global in-memory computing market are Microsoft (US), Oracle (US), SAP (Germany), IBM (US), SAS Institute (US), TIBCO (US), Software AG (Germany), Fujitsu (Japan), Red Hat (US), Altibase (US), GigaSpaces (US), GridGain (US), Hazelcast (US), MongoDB (US), Exasol (Germany), Intel (Germany), Qlik (US), Salesforce (US), Workday (US), Teradata (US), Kognitio (UK), Enea (Sweden), VoltDB (US), McObject (US), and MemSQL (US).
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In-Memory Computing Market Research Report: Information By Component (Solutions (In-Memory Database (IMDB), (Online Analytical Processing (OLAP), Online Transaction Processing)(OLTP)), In-Memory Data Grid (IMDG) and Data Stream Processing), Services (Professional Services (Consulting, System Integration and Implementation, Support and Maintenance), Managed Services)), Application (Risk Management and Fraud Detection, Sentiment Analysis, Geospatial/GIS Processing, Sales and Marketing Optimization, Predictive Analysis, Supply Chain Management, Others (Image Processing, Route Optimization, Claim Processing and Modelling and Trade Promotion Simulations)), Deployment Mode (Cloud and On-Premises), Organization Size (SMEs and Large Enterprises), Vertical (BFSI, IT & Telecom, Retail & eCommerce, Healthcare & Life Sciences, Transportation & Logistics, Government & Defense, Energy & Utilities, Media & Entertainment, Others (Education, Manufacturing and Travel & Hospitality)) - Forecast till 2027
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