In-Memory Analytics Market - Forecasts from 2018 to 2023

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 Component



By Deployment Model



By Enterprise Size




By Application

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


By Geography

North America

United States




South America










Middle East and Africa

Saudi Arabia




Asia Pacific







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.

1. Introduction
2. Research Methodology  
2.1. Research Process And Design
2.2. Research Assumptions
3. Executive Summary
4. Market Dynamics
4.1. Market Segmentation
4.2. Market Drivers
4.3. Market Restraints
4.4. Market Opportunities
4.5. Porter’s Five Force Analysis
4.5.1. Bargaining Power Of Suppliers
4.5.2. Bargaining Power Of Buyers
4.5.3. Threat Of New Entrants
4.5.4. Threat Of Substitutes
4.5.5. Competitive Rivalry In The Industry
4.6. Life Cycle Analysis- Regional Snapshot
4.7. Market Attractiveness
5. In-Memory Analytics Market by Component
5.1. Software
5.2. Services
6. In-Memory Analytics Market by Deployment Model
6.1. On-premise
6.2. Cloud
7. In-Memory Analytics Market by Enterprise Size
7.1. Small
7.2. Medium
7.3. Large
8. In-Memory Analytics Market by Application
8.1. Risk Management and Fraud Detection 
8.2. Sales and Marketing Optimization 
8.3. Supply Chain Optimization 
8.4. Product and Process Management 
8.5. Others
9. In-Memory Analytics Market by End-User Industry
9.1. BFSI 
9.2. Retail 
9.3. Government 
9.4. Communication and Technology
9.5. Transportation & Logistics 
9.6. Others
10. In-Memory Analytics Market by Geography
10.1. North America
10.1.1. United States
10.1.2. Canada
10.1.3. Mexico
10.1.4. Others
10.2. South America
10.2.1. Brazil
10.2.2. Argentina
10.2.3. Others
10.3. Europe
10.3.1. UK
10.3.2. Germany
10.3.3. France
10.3.4. Italy
10.3.5. Others
10.4. Middle East and Africa
10.4.1. Saudi Arabia
10.4.2. UAE
10.4.3. Israel
10.4.4. Others
10.5. Asia Pacific
10.5.1. Japan
10.5.2. China
10.5.3. India
10.5.4. Australia
10.5.5. Others
11. Competitive Intelligence
11.1. Investment Analysis
11.2. Recent Deals
11.3. Strategies of Key Players
12. Company Profiles
12.1. Google, Inc.
12.2. IBM Corporation
12.3. Microsoft Corporation
12.4. ESRI
12.5. Telstra
12.6. *List is not exhaustive
List of Figures
List of Tables

Google, Inc.

IBM Corporation

Microsoft Corporation



*List is not exhaustive

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  • Publishing Date: 2018-10-29
  • Product Code: 1
  • Availability: In Stock
  • $3,800.00
  • Ex Tax: $3,800.00

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