In-Memory Analytics Market 2028 By Component, Deployment Model, Organization Size, Application, Industry Vertical and Geography | The Insight Partners

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In-Memory Analytics Market Forecast to 2028 - COVID-19 Impact and Global Analysis by Component (Software, Service); Deployment Model (On-premises, Cloud); Organization Size (Small and Medium-Sized Businesses (SMBs), Large Enterprises); Application (Risk Management and Fraud Detection, Sales and Marketing Optimization, Financial Management, Supply Chain Optimization, Predictive Asset Management, Product and Process Management, Others); Industry Vertical (BFSI, Telecommunications and IT, Retail and E-commerce, Government and Defense, Energy and Utilities, Media and Entertainment, Transportation and Logistics, Others) and Geography

Report Code: TIPRE00011202 | No. of Pages: 150 | Category: Technology, Media and Telecommunications | Status: Upcoming


The in-memory analytics aids organization to enhance the overall speed in the BI system and offer different business intelligence clients with faster solutions as compared to traditional disk-based BI systems, especially for queries that take a long time for progression in a large database. Furthermore, the rise in the necessity for self-service business intelligence and advanced technologies are some of the factors that drive the growth of the in-memory analytics market.


The in-memory analytics market trends involve digital transformation utilizing real-time analytics, and increasing the volume of data are some of the significant factors that drive the growth of the in-memory analytics market. However, lack of awareness among different industry verticals is predicted to restrain the in-memory analytics market growth. Additionally, the increase in trends for self-service BI tools and technological progression in computing power fuels the growth of the in-memory analytics market.


The "Global In-Memory Analytics Market Analysis to 2028" is a specialized and in-depth study of the in-memory analytics market with a special focus on the global market trend analysis. The report aims to provide an overview of in-memory analytics market with detailed market segmentation by component, deployment model, organization size, application, industry vertical. The global in-memory analytics market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading in-memory analytics market players and offers key trends and opportunities in the in-memory analytics market.


The global in-memory analytics market is segmented on the basis of component, deployment model, organization size, application, industry vertical. On the basis of component, the market is segmented as software, service. On the basis of deployment model, the market is segmented as on-premises, cloud. On the basis of organization size, the market is segmented as small and medium-sized businesses (SMBs), large enterprises. On the basis of application, the market is segmented as risk management and fraud detection, sales and marketing optimization, financial management, supply chain optimization, predictive asset management, product and process management, others. On the basis of industry vertical, the market is segmented as BFSI, telecommunications and IT, retail and ecommerce, government and defense, energy and utilities, media and entertainment, transportation and logistics, others.


The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global in-memory analytics market based on various segments. It also provides market size and forecast estimates from year 2020 to 2028 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America. The in-memory analytics market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.

The report analyzes factors affecting in-memory analytics market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South America after evaluating political, economic, social and technological factors effecting the in-memory analytics market in these regions.

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The reports cover key developments in the in-memory analytics market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for expansion of business and customer base of market players. The market players from in-memory analytics market are anticipated to lucrative growth opportunities in the future with the rising demand for in-memory analytics market. Below mentioned is the list of few companies engaged in the in-memory analytics market.

The report also includes the profiles of key in-memory analytics market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information of last 3 years, key development in past five years.

  •  ActiveViam
  •  Amazon Web Services, Inc.
  •  Exasol
  •  IBM
  •  Information Builders
  •  MicroStrategy Incorporated
  •  Oracle
  •  SAS Institute Inc
  •  Software AG
  •  SAP SE

The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.

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The List of Companies

1. ActiveViam
2. Amazon Web Services, Inc.
3. Exasol
4. IBM
5. Information Builders
6. MicroStrategy Incorporated
7. Oracle
8. SAS Institute Inc
9. Software AG
10. SAP SE
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