- In-memory computing is mainly used for information storage.
- Demand for in-memory computing is largely driven by exponential growth of the big data.
- Rise in transactional and analytical needs across various end-use industries is expected to drive the in-memory computing market.
The global in-memory computing market is slated to offer attractive growth opportunities for all participant involved in the ecosystem, expanding at a double digit CAGR during the forecast period. In-memory computing refers to a middleware software that allows user to store data in Random Access Memory (RAM) and process information at a faster speed.
In-memory computing includes an architecture where the information is saved inside the memory of the computer rather on hard disk. By saving data in main memory, in-memory computing model improves speed of data crunching and addresses analytic requirements of business organizations in lesser time and at faster speed. In-memory computing has evolved over the years, making model inexpensive and practical for mainstream adoption.
Rising use of the internet services and mobile banking has resulted in demand for large data processing. Business organizations across the globe are in need of technologies that enable them to manage and analyze huge amount of data and at higher bandwidth. Nevertheless, managing and sharing large sized data is a concern for organizations. This has led to adoption of in-memory computing technology amongst business enterprises for addressing the aforementioned challenges.
Demand for in-memory computing is largely driven by exponential growth of the big data and rising need for accuracy and speed for data processing across business organizations. In-memory computing is mainly used for information storage and considerably reduces latency in data analysis and data transactions, thereby enhancing decision making of end-users in real time.
Thus, rise in transactional and analytical needs across various end-use industries coupled with its capability to provide accuracy, speed, and flexibility is expected to drive the in-memory computing market in the coming years.
The global In-memory computing market is segmented on the following bases:
Aerospace and Defense, Banking, Financial Services, and Insurance (BFSI), Healthcare, Government, IT and Telecom, Energy and Utilities, Others (Retail, Transportation, etc.)
North America, Europe, Asia-Pacific, Rest of World
Key Players Identified for In-memory computing Market Include but are Not Limited to:
IBM, Oracle Corporation, SAP SE, Microsoft, Altibase Corp., Red Hat, Inc., Fujitsu, GigaSpaces, Software AG, HCL Technologies Limited, GridGain Systems, Inc., and Exasol, TIBCO Software Inc., and Hazelcast, Inc.
This report offers:
- An overview of the global markets for In-memory computing
- Market trends assessment for the period 2016 – 2026, with historical information for 2016 to 2018, and projections through 2026, with respective CAGR during 2018 – 2026
- Qualitative assessment tools such as market drivers, challenges and future prospects in the market
- Market competition scrutiny tools such as market positioning analysis
- A general overview of the industry structure
- Company profiles highlighting key information about the major players operating in the in-memory computing market