In-Memory Analytics Market consists 154 pages, top 10 global players, 72 tables and 40 figures as well as In-Memory analytics market report helps stakeholders to understand the pulse of the market and provides the information on key market drivers, restraints, challenges, & opportunities.
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The in-memory analytics ecosystem comprises vendors, such as SAP SE (Germany), Oracle Corporation (U.S.), Kognitio (England), MicroStrategy Inc. (U.S.), SAS Institute, Inc. (U.S.), ActiveViam (UK), IBM Corporation (U.S.), Information Builders, Inc. (U.S.), Hitachi Group Company (Japan), Software AG (Germany), Amazon Web Services (U.S.), Qlik Technologies Inc. (U.S.), ADVIZOR Solutions, Inc. (U.S.), and Exasol (Germany).
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Other stakeholders of the in-memory analytics market includes system integrators, Value-Added Resellers (VARs), service providers & distributors, cloud BI platform vendors, Information Technology (IT) service providers, consulting service providers, managed service providers, market research & consulting firms, and cloud service providers.
The target audience of the in-memory analytics market report is given below:
- Service providers and distributors
- In-memory analytics application builders
- Independent Software Vendors (ISVs)
- Analytics consulting companies
Ask for In-Memory Analytics Market by Component (Software, Services), Application (Risk Management & Fraud Detection, Sales & Marketing Optimization, and Financial Management), Deployment, Organization Size, Vertical, Region - Global Forecast to 2022 at
The report provides detailed insights into the global in-memory analytics market, which is segmented by component, application, deployment model, organization size, vertical, and region. In the component segment, the in-memory analytics software is expected to have the largest market share during the forecast period.
Among applications, risk management and fraud detection is expected to continue to its dominance during the forecast period. The use of in-memory analytics is increasing among businesses to enhance their risk intelligence capabilities and proactively avoid major operational & financial risks.
The on-premises deployment model has exhibited a higher adoption, compared to the cloud deployment model. The need to protect sensitive business data has fostered the adoption of on-premises solutions.
However, the cloud deployment model would grow at higher a CAGR owing to improving scalability and security with cloud-based in-memory analytics solutions.
The report segments the in-memory analytics market based on components, which include software and services; the services segment is further segmented into managed services and professional services. Under professional services, the report is further segmented into support & maintenance and consulting services.
Browse complete report on in-memory analytics market based on components, available at
Based on the deployment model, the market is segmented into on-premises and cloud. Under organization size, it is segmented into Small and Medium-Sized Businesses (SMBs) and large enterprises, whereas under applications segment, the market is segmented into risk management and fraud detection, sales &marketing optimization, financial management, supply chain optimization, predictive asset management, product &process management ,and others.
Under verticals, the market includes Banking, Financial Services, & Insurance(BFSI), telecommunications & Information Technology(IT), retail & eCommerce, healthcare & life sciences, manufacturing, government & defense, energy & utilities, media & entertainment, transportation & logistics, and others (research, education, travel & hospitality, and outsourcing), whereas in regions, it is segmented into North America, Europe, APAC, Middle East & Africa (MEA), and Latin America.
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