Market Overview:
The global in-memory computing market is expected to grow at a CAGR of XX% during the forecast period from 2018 to 2030. The growth of this market can be attributed to the increasing demand for in-memory computing solutions from small and medium businesses, large enterprises, and government organizations across the globe. In addition, the growing need for real-time analytics and data processing is also fueling the growth of this market.
Product Definition:
In-memory computing is the practice of keeping data and applications in main memory instead of on disk, which can speed up performance by eliminating the need to go through the disk I/O process. This can be done in a number of ways, but all involve either replicating or caching data in memory so it’s available for processing as quickly as possible. In-memory computing can improve performance for certain types of applications, particularly those that require frequent access to large amounts of data or that perform a lot of calculations.
Small and Medium Businesses:
Small and medium-sized businesses (SMBs) are expected to be the primary adopters of in-memory computing technology. The primary factor driving their adoption is cost reduction. In addition, SMBs have a higher rate of innovation than large enterprises, which also contributes to market growth.
Large Enterprises:
Large enterprises are the primary end-users of in-memory computing technology. The term “in-memory computing” is used to collectively describe a set of techniques that involve storing data in memory and using it to perform various operations. This helps reduce latency, increase scalability, and provides faster processing power for enterprise applications.
The key drivers for this market include rising demand from large enterprises as well as small & medium businesses (SMBs).
Application Insights:
The others application segment includes media & entertainment, healthcare, telecom & IT and public sector. The growing demand for in-memory computing solutions to support the growing number of transactions and data volume in these sectors is expected to drive the market growth over the forecast period. In addition, increasing cloud adoption across these sectors is further driving demand for in-memory computing solutions.
The transportation industry has witnessed tremendous growth over recent years on account of increasing investments by companies such as Apple Inc., Google Inc., Microsoft Corporation and Facebook, Inc. These companies are focusing on developing self-driving cars that can operate without human intervention which is anticipated to increase traffic accidents resulting in increased need for tracking vehicle movements which will result in a higher adoption rate of infocenter systems thereby fueling market growth during the forecast period (2018 - 2030).
Regional Analysis:
North America dominated the global market in 2017. The growth can be attributed to the presence of a large number of players, increased investments in R&D, and high adoption rate of new technologies. Moreover, increasing demand for cloud-based services is expected to drive regional growth over the forecast period.
Asia Pacific is anticipated to witness significant growth over the next eight years owing to increasing government initiatives for developing smart cities and boosting digitalization across various sectors such as healthcare & life sciences, retail & e-commerce, manufacturing & automotive among others. Furthermore, growing penetration of smartphones coupled with rising internet usage rates are further fueling regional demand for in-memory computing solutions.
Growth Factors:
- Increasing demand for big data analytics and real-time insights: The in-memory computing market is expected to be driven by the increasing demand for big data analytics and real-time insights. In-memory computing can provide faster access to data and enable organizations to make better decisions in a timely manner.
- Proliferation of cloud services: The proliferation of cloud services is also expected to drive the growth of the in-memory computing market. Cloud services offer on-demand scalability, which allows businesses to increase or decrease their compute capacity as needed. This helps businesses reduce their IT costs while still being able to process large amounts of data quickly.
- Emergence of new applications: Another key driver for the in-memory computing market is the emergence of new applications that require fast access to large volumes of data, such as Internet of Things (IoT) applications and artificial intelligence (AI). In addition, traditional enterprise applications are also being ported over to run on in-memory platforms, which is further fueling market growth.
Scope Of The Report
Report Attributes
Report Details
Report Title
In-Memory Computing Market Research Report
By Type
Small and Medium Businesses, Large Enterprises
By Application
Government, BFSI, Retail, Transportation, Others
By Companies
IBM, SAP SE, Oracle, Microsoft, Altibase, ScaleOut Software, Gridgrain Systems, Red Hat, TIBCO, Fujitsu, Gigaspaces, Software AG, Hazelcast
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
190
Number of Tables & Figures
133
Customization Available
Yes, the report can be customized as per your need.
Global In-Memory Computing Market Report Segments:
The global In-Memory Computing market is segmented on the basis of:
Types
Small and Medium Businesses, Large Enterprises
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Government, BFSI, Retail, Transportation, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM
- SAP SE
- Oracle
- Microsoft
- Altibase
- ScaleOut Software
- Gridgrain Systems
- Red Hat
- TIBCO
- Fujitsu
- Gigaspaces
- Software AG
- Hazelcast
Highlights of The In-Memory Computing Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Small and Medium Businesses
- Large Enterprises
- By Application:
- Government
- BFSI
- Retail
- Transportation
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the In-Memory Computing Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
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- Product & Brand Management
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
In-memory computing is a term used to describe the use of computer systems that can access and store data in memory, rather than on disk. This allows for faster response times and increased efficiency because data can be accessed directly by the system's processors. In-memory computing also offers greater security because sensitive information cannot be easily compromised if it is stored on disk.
Some of the major players in the in-memory computing market are IBM, SAP SE, Oracle, Microsoft, Altibase, ScaleOut Software, Gridgrain Systems, Red Hat, TIBCO, Fujitsu, Gigaspaces, Software AG, Hazelcast.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 In-Memory Computing Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 In-Memory Computing Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 In-Memory Computing Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the In-Memory Computing Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global In-Memory Computing Market Size & Forecast, 2020-2028
4.5.1 In-Memory Computing Market Size and Y-o-Y Growth
4.5.2 In-Memory Computing Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Small and Medium Businesses
5.2.2 Large Enterprises
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Government
6.2.2 BFSI
6.2.3 Retail
6.2.4 Transportation
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global In-Memory Computing Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 In-Memory Computing Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Small and Medium Businesses
9.6.2 Large Enterprises
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Government
9.10.2 BFSI
9.10.3 Retail
9.10.4 Transportation
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Small and Medium Businesses
10.6.2 Large Enterprises
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Government
10.10.2 BFSI
10.10.3 Retail
10.10.4 Transportation
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Small and Medium Businesses
11.6.2 Large Enterprises
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Government
11.10.2 BFSI
11.10.3 Retail
11.10.4 Transportation
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Small and Medium Businesses
12.6.2 Large Enterprises
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Government
12.10.2 BFSI
12.10.3 Retail
12.10.4 Transportation
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Small and Medium Businesses
13.6.2 Large Enterprises
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Government
13.10.2 BFSI
13.10.3 Retail
13.10.4 Transportation
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 In-Memory Computing Market: Competitive Dashboard
14.2 Global In-Memory Computing Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM
14.3.2 SAP SE
14.3.3 Oracle
14.3.4 Microsoft
14.3.5 Altibase
14.3.6 ScaleOut Software
14.3.7 Gridgrain Systems
14.3.8 Red Hat
14.3.9 TIBCO
14.3.10 Fujitsu
14.3.11 Gigaspaces
14.3.12 Software AG
14.3.13 Hazelcast
