The in-memory analytics market was valued at US$XX.XX billion in 2018 and is expected to grow at a CAGR of XX.XX% over the forecast period to reach a total market size of US$XX.XX billion by 2024. The growth of this market is majorly being fueled by rapid growth of big data analytics across all major geographies worldwide. Continuous digitization of business processes is adding to huge volumes of data generated every day. This is increasing the need among companies to adopt advanced solutions which can support their big data analytics functions. This is increasing the demand for in-memory analytics. This technology allows querying of data while it is in Random Access Memory (RAM) of a system, thus facilitating vastly shortened response times. As enterprises continue to increase their focus on Business Intelligence (BI) and faster decision-making, the demand for in-memory analytics is witnessing an impressive growth, which is fueling the growth of this market.
This research study examines the current market trends related to the demand, supply, and sales, in addition to the recent developments. Major drivers, restraints, and opportunities have been covered to provide an exhaustive picture of the market. The analysis presents in-depth information regarding the development, trends, and industry policies and regulations implemented in each of the geographical regions. Further, the overall regulatory framework of the market has been exhaustively covered to offer stakeholders a better understanding of the key factors affecting the overall market environment.
Identification of key industry players in the industry and their revenue contribution to the overall business or relevant segment aligned to the study has been covered as a part of competitive intelligence done through extensive secondary research. Various studies and data published by industry associations, analyst reports, investor presentations, press releases and journals among others have been taken into consideration while conducting the secondary research. Both bottom-up and top down approaches have been utilized to determine the market size of the overall market and key segments. The values obtained are correlated with the primary inputs of the key stakeholders in the in-memory analytics value chain. Last step involves complete market engineering which includes analysing the data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting.
Market intelligence is presented in the form of analysis, charts, and graphics to help the clients in gaining faster and efficient understanding of the in-memory analytics market.
Major industry players profiled as part of the report are Google, Inc., IBM Corporation, Microsoft Corporation, ESRI and Telstra among others.
The In-memory analytics market is segmented by component, deployment model, enterprise size, end-user industry and geography.
By Deployment Model
By Enterprise Size
By End-User Industry
Communication and Technology
Transportation & Logistics
Middle East and Africa
Key Questions answered by the report
What is the In-memory analytics market size from 2019 to 2024?
How are the major drivers and restraints affecting the In-memory analytics market and the opportunities which exist for the key vendors?
Which segment and region will drive or lead the market growth and why?
A comprehensive analysis of competitive landscape and key market participants behaviour
Key strategies being adopted by vendors, with in-depth analysis of their impact on competition and market growth.