In-Memory Analytics Market - Forecasts from 2018 to 2023
The in-memory analytics market was valued at US$XX.XX billion in 2017 and is expected to grow at a CAGR of XX.XX% over the forecast period to reach a total market size of US$XX.XX billion by 2023. Technological advancements in computing is one of the major drivers of in-memory analytics market. Growing volume of big data globally is also fueling the growth of in-memory analytics market. Rapid digital transformation with the use of real-time data analytics is further boosting the demand for in-memory analytics solutions across various industry verticals. Declining costs of main memory hardware will continue to support the growth of in-memory analytics market. Higher adoption by SMBs also provides a great opportunity for the expansion of in-memory analytics market in the coming years. However, factors such as lack of awareness across different industries and skilled professionals to deploy BI applications are restraining the growth of in-memory analytics 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 analyticsvalue 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 analyticsmarket.
Major industry players profiled as part of the report areGoogle, Inc., IBM Corporation, Microsoft Corporation, ESRI and Telstra among others.
TheIn-memory analytics market is segmented bycomponent, deployment model, enterprise size, application, end-user industryand geography.
By Deployment Model
By Enterprise Size
Risk Management and Fraud Detection
Sales and Marketing Optimization
Supply Chain Optimization
Product and Process Management
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 2018 to 2023?
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.
*List is not exhaustive