"Software Composition Analysis Market by Component (Solution and Services (Professional and Managed)), Organization Size, Deployment Type (On-Premises and Cloud), Vertical (BFSI, Healthcare, Telecom & IT), and Region - Global Forecast to 2022"
In-memory database refers to the technology that stores the data fully or partially in the memory on either single or distributed servers. The In-Memory Database technology keeps the whole database in the main memory of the system. The technology supports the transactional, operational, and analytical workloads. It helps in reducing latency in the data, which further helps in extraction of data for its processing on real-time basis. Moreover, the massive amount of data (big data) is being generated across various industries. The need for analyzing this data in real time has been fulfilled by in-memory database solutions, as these solutions provide quick accessibility and processing of data.
Being a growing sub-set of the Database Management System (DBMS), in-memory database has the capability of working with data in memory rather than reading and writing it from the file system. With an in-built capability of performing data management functions at a faster magnitude, the in-memory database has lower memory and Central Processing Unit (CPU) requirements. Moreover, unlike traditional disk-based systems, the in-memory database system carries no file Input/output (I/O) burden. Due to the aforesaid features and capabilities of in-memory database systems, the market has shown significant growth in various enterprises.
[160 Pages Report] The overall in-memory database market is expected to grow from USD 2.10 billion in 2015 to USD 6.58 billion by 2021, at a CAGR of 19.3% from 2016 to 2021.
The base year considered for the study is 2015, and the forecast has been provided for the period between 2016 and 2021.
In-Memory Database Market Dynamics
Drivers
• Faster data processing
• Falling RAM prices
• Masive amount of data being generated from various industries
Restraints
• Memory space constraints
• Lack of standards
Opportunities
• Non-embedded applications requiring exceptional performance
• Emergence of Hybrid Transactional and Analytical Processing (HTAP)
• Increasing demand for real-time processing
Challenges
• Volatile nature of memory
• Data security concerns
Faster data processing, falling RAM prices, and massive amount of data being generated from various industries drives the global in-memory database market
BFSI, government & defense, and retail & consumer are few of the verticals which have shown tremendous adoption of in-memory database systems. This is due to the data-centric characteristics of these verticals. Apart from this, the healthcare and life sciences industry has shown significant growth rate during the forecast period. There are various opportunities prevailing in this market, which include non-embedded applications requiring exceptional performance, emergence of Hybrid Transactional & Analytical Processing (HTAP), and increasing demand for real-time processing. On the other hand, the market also has a few challenges, such as volatile nature of memory and data security concerns.
The following are the major objectives of the study.
• To describe and forecast the in-memory database market, in terms of value, by application, data type, processing type, deployment model, organization size, vertical and region
• To describe and forecast the market, in terms of volume, by type and application
• To describe and forecast the reed sensor market, in terms of value, by region–Asia Pacific (APAC), Europe, North America, Middle East and Africa (MEA), and Latin America along with their respective countries
• To provide detailed information regarding major factors influencing market growth (drivers, restraints, opportunities, and challenges)
• To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall market
• To study the complete value chain of in-memory database
• To analyze opportunities in the market for stakeholders by identifying the high-growth segments of the in-memory database ecosystem
• To strategically profile key players and comprehensively analyze their market position in terms of ranking and core competencies, along with detailing competitive landscape for market leaders
• To analyze strategic approaches such as product launches, acquisitions, contracts, agreements, and partnerships in the in-memory database market
To know about the assumptions considered for the study, download the pdf brochure
The overall in-memory database market is expected to grow from USD 2.10 billion in 2015 to USD 6.58 billion by 2021, at a CAGR of 19.3% from 2016 to 2021. Faster data processing, falling RAM prices, and massive amount of data being generated from various industries are the drivers that propel the growth of the market.
In-memory database refers to the technology that stores the data fully or partially in the memory on either single or distributed servers. The in-Memory Database technology keeps the whole database in the main memory of the system. The technology supports the transactional, operational, and analytical workloads. It helps in reducing latency in the data, which further helps in extraction of data for its processing on real-time basis. Moreover, the massive amount of data (big data) is being generated across various industries. The need for analyzing this data in real time has been fulfilled by in-memory database solutions, as these solutions provide quick accessibility and processing of data.
Key players considered in the analysis of the in-memory database market are Microsoft (US), IBM (US), Oracle (US), SAP SE (Germany), Teradata (US), Amazon Web Services (US), Tableau (US), Kognitio (UK), VoltDB (US), DataStax (US), ENEA (Sweden), McObject (US) and Altibase (South Korea). These players are increasingly undertaking product launches and product upgradations to develop and introduce new technologies and products in the market.
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