An in-memory database is a database management system that primarily relies on main memory for computer data storage. It is contrasted with database management systems that employ a disk storage mechanism. In-memory databases are faster than disk-optimized databases because disk access is slower than memory access, the internal optimization algorithms are simpler and execute fewer CPU instructions. Accessing data in memory eliminates seek time when querying the data, which provides faster and more predictable performance than disk.
Scope of the Report:This report studies the In-Memory Database market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the In-Memory Database market by product type and applications/end industries.
The market in North America is expected to hold the largest share of the market. The APAC region is projected to have great opportunities in this market and would grow at the highest CAGR by 2023.
The global In-Memory Database market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of In-Memory Database.
Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.
Market Segment by Companies, this report covers Microsoft
IBM
Oracle
SAP
Teradata
Amazon Web Services
Tableau Software
Kognitio
VoltDB
Datastax
Enea Ab
Mcobject
Altibase
Starcounter
Market Segment by Regions, regional analysis covers North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers Online Analytical Processing (OLAP)
Online Transaction Processing (OLTP)
Market Segment by Applications, can be divided into BFSI
Government and Defense
Healthcare and Life Sciences
Retail and Consumer Goods
Transportation and Logistics
IT and Telecommunication
Manufacturing
Energy and Utility
Others
Frequently Asked Questions
The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.
Market is segmented on the basis:
- By Type
- By Application
- By Region
- By Country
- By Manufacturer
The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.
The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.