In-Memory Analytics Market - Forecasts from 2019 to 2024

In-Memory Analytics Market - Forecasts from 2019 to 2024

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.

Segmentation

The In-memory analytics market is segmented by component, deployment model, enterprise size, end-user industry and geography.

By Component

Software

Services

By Deployment Model

On-premise

Cloud

 

By Enterprise Size

Small

Medium

Large

 

By End-User Industry

BFSI

Retail

Government

Communication and Technology

Transportation & Logistics

Others

 

By Geography

North America

United States

Canada

Mexico

Others

 

South America

Brazil

Argentina

Others

 

Europe

UK

Germany

France

Italy

Others

 

Middle East and Africa

Saudi Arabia

UAE

Israel

Others

 

Asia Pacific

Japan

China

India

Australia

Others

 

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.

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 End-User Industry
8.1. BFSI 
8.2. Retail 
8.3. Government 
8.4. Communication and Technology 
8.5. Transportation & Logistics 
8.6. Others
9. In-Memory Analytics Market by Geography
9.1. North America
9.1.1. United States
9.1.2. Canada
9.1.3. Mexico
9.1.4. Others
9.2. South America
9.2.1. Brazil
9.2.2. Argentina
9.2.3. Others
9.3. Europe
9.3.1. UK
9.3.2. Germany
9.3.3. France
9.3.4. Italy
9.3.5. Others
9.4. Middle East and Africa
9.4.1. Saudi Arabia
9.4.2. UAE
9.4.3. Israel
9.4.4. Others
9.5. Asia Pacific
9.5.1. Japan
9.5.2. China
9.5.3. India
9.5.4. Australia
9.5.5. Others
10. Competitive Intelligence
10.1. Investment Analysis
10.2. Recent Deals
10.3. Strategies of Key Players
11. Company Profiles
11.1. Google, Inc.
11.2. IBM Corporation
11.3. Microsoft Corporation
11.4. ESRI
11.5. Telstra
11.6. *List is not exhaustive
List of Figures
List of Tables
Disclaimer

Google, Inc.

IBM Corporation

Microsoft Corporation

ESRI

Telstra

*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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