In Memory Computing Market Developments, Future Plans and Comprehensive Research Study Till 2027
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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