In-Memory Analytics Market Research By Global Survey, Analysis, Share, Company Profiles and Growth - Activeviam, Exasol, Oracle, Microstrategy

In-memory analytics is enterprise architecture framework solution used to enhance business intelligence reporting by querying data from system memory. It works by increasing the speed, performance and reliability when querying data. With the evolution of BI and RAM hardware technology, more BI platforms are available and affordable, including in-memory analytics tools used to facilitate enterprise decision making. Benefits of In-memory analytics include â€" high performance speed, cost efficient, and reduces the dependence on IT expert.

The Global In-Memory Analytics Market was valued at USD 1.08 billion in 2016 and is projected to reach USD 8.2 billion by 2025, growing at a CAGR of 25.35% from 2017 to 2025.

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Competitive Landscape:

The major players in the market are as follows:

1. IBM Corporation
2. SAP SE
3. Software AG
4. Information Builders, Inc.
5. Advizor Solutions, Inc.
6. Exasol
7. SAS Institute, Inc.
8. Amazon Web Services
9. Kognitio Ltd
10. Qlik Technologies, Inc.
11. Oracle Corporation
12. Activeviam
13. Hitachi Group Company
14. Microstrategy Incorporated
 

Key Highlights of the Report:

- Growth Opportunities in the global In-Memory Analytics Market across major regions during the forecast period.

- Role of emerging markets in the global In-Memory Analytics Market and the scenario during 2020-2025.

- Technological and product developments that influence the growth of the market.

- New trends and advancements in the global In-Memory Analytics Market.

- Insight on various product types and their respective market shares in the overall market.

Impact of Covid-19: Global In-Memory Analytics Market

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The report offers an in-depth assessment of the growth and other aspects of the In-Memory Analytics market in important countries (regions) including:

North America (USA, Canada, and Mexico)

Europe (Germany, France, UK, Russia, and Italy)

Asia Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)

South America (Brazil, Argentina, Colombia)

Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)

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Market Dynamics:
1. Market Drivers
1.1 Rising adoption by small and medium businesses
1.2 Improved security and scalability with cloud-based In-memory analytics
1.3 Low costs for main memory hardware
1.4 Increasing volume of data
1.5 Rising trend for self-service BI tools
1.6 Adoption of digital transformation using real-time data analytics
2. Market Restraints
2.1 Issues with management and maintenance of data quality
2.2 Lack of technical expertise to deploy BI applications
2.3 Poor knowledge about the technology across industries

Market Segmentation:
The Global In-Memory Analytics Market is segmented on the application, organization size, component, deployment model, vertical, and region.

1. Application:
1.1 Product and process management
1.2 Risk management and fraud detection
1.3 Sales and marketing optimization
1.4 Supply chain optimization
1.5 Financial management
1.6 Network management
1.7 Workforce management
1.8 Predictive asset management

2. Organization Size:
2.1 Large Enterprises
2.2 Small and Medium Organizations

3. By Component:
3.1 Software
3.2 Services
3.2.1 Managed services
3.2.2 Professional services
3.2.2.1 Support and maintenance services
3.2.2.2 Consulting services

4. By Deployment Mode:
4.1 Cloud-based
4.2 On-premises

5. By Vertical:
5.1 Healthcare
5.2 Government and Defense
5.3 IT and Telecom
5.4 Banking, Financial Services, and Insurance (BFSI)
5.5 Transportation and Logistics
5.6 Retail and e-commerce
5.7 Manufacturing
5.8 Others

The In-Memory Analytics Market report provides the overall structure and business outlook of global and regional industries. The study also includes the significant performance of the market, research and development, new product launches, product responses, and regional growth of key competitors operating in the market on both global and regional scale. The study provides information on growth and revenue over the historical and forecast period 2021-2025. The structured analysis includes graphical and schematic representations of the global In-Memory Analytics market along with specific geographic regions.

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