Market Overview:
The global in-memory grid 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 big data and analytics solutions, rising need for faster and reliable data processing, and growing trend of cloud-based deployments. The global in-memory grid market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into cloud-based and on-premise deployments. The cloud-based deployment segment is expected to grow at a higher CAGR during the forecast period as compared to the on-premise deployment segment. This can be attributed to factors such as lower costs associated with cloud deployments as compared to on-premise deployments, easy scalability and flexibility offered by cloud environments, and growing trend of moving business applications from on-premise environments to public clouds. On the basis of application,the in memory grid market is divided into transaction processing,, fraud & risk management,, supply chain management,, sales & marketing automation,. The transaction processing application segment dominates this market followed by fraud & risk management application Segment ., Additionally,.
Product Definition:
An in-memory grid is a clustered data store that provides high performance for read and write operations by caching data in memory. The importance of an in-memory grid is its ability to provide high performance for read and write operations. This makes it an ideal platform for applications that require real-time response or fast query performance.
Cloud:
Cloud is a shared pool of data that can be easily accessible and useful for the end-users. It helps in storing large amounts of data on remote servers with the help of virtualization technology. Cloud computing is an umbrella term used to define multiple technologies including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
On-premise:
On-premise is a term used for referring to the deployment of an application or service that requires high security and is operated directly by the organization. In many cases, on-premise applications are used in conjunction with cloud services; however, they are not limited to it. On-premise software generally requires more maintenance as compared to Software as a Service (SaaS) model but offers higher data security and reliability due to its physical installation at the organizational level.
Application Insights:
The application segment is segregated into transaction processing, fraud and risk management, supply chain, sales and marketing. The in-memory grid solutions are widely used in the financial sector for fraud management as it offers real-time insights on transactions. It also helps organizations to detect fraudulent activities earlier by providing detailed analysis of all the transactions that take place within an organization¢â‚¬â„¢s systems.
In 2017, the transaction processing segment accounted for a major market share and is estimated to expand at a CAGR exceeding 20% over the forecast period owing to increasing demand from various industries such as healthcare, retail and manufacturing. In addition, growing adoption of these solutions across public sectors including tax authorities is expected to drive growth over next seven years.
Regional Analysis:
North America dominated the global in-memory grid market with a revenue share of over 35% in 2017. This is attributed to the presence of prominent players such as SAP SE, Oracle Corporation, Microsoft Corporation and IBM Corporation. The growth can also be attributed to increasing investments by governments for developing innovative technologies that would reduce operational costs and enhance productivity. For instance, according to a white paper published by the U.S.-China Economic and Security Review Commission titled “The National Infrastructure Strategyâ€, China has invested heavily in its digital economy including cloud computing initiatives which are estimated at USD X billion between 2014-2016 period.
Asia Pacific is expected to witness significant growth over the forecast period owing to factors such as growing IT infrastructure spending especially on memory chips along with rising demand from emerging economies like China.
Growth Factors:
- Increasing demand for big data analytics and real-time insights
- Proliferation of Internet of Things (IoT) and connected devices
- Growing need for faster and more reliable data processing architectures
- Emergence of new applications that require in-memory computing capabilities
- Shifting business dynamics towards digital transformation
Scope Of The Report
Report Attributes
Report Details
Report Title
In-Memory Grid Market Research Report
By Type
Cloud, On-premise
By Application
Transaction Processing, Fraud and Risk Management, Supply Chain, Sales and Marketing
By Companies
IBM Corporation, Pivotal Software, Inc., Oracle Corporation, Hazelcast, Inc., Software AG, Alachisoft, Hitachi, Ltd., GridGain Systems, ScaleOut Software, Inc., TIBCO Software Inc., GigaSpaces Technologies Inc., TmaxSoft.
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
226
Number of Tables & Figures
159
Customization Available
Yes, the report can be customized as per your need.
Global In-Memory Grid Market Report Segments:
The global In-Memory Grid market is segmented on the basis of:
Types
Cloud, On-premise
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
Transaction Processing, Fraud and Risk Management, Supply Chain, Sales and Marketing
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 Corporation
- Pivotal Software, Inc.
- Oracle Corporation
- Hazelcast, Inc.
- Software AG
- Alachisoft
- Hitachi, Ltd.
- GridGain Systems
- ScaleOut Software, Inc.
- TIBCO Software Inc.
- GigaSpaces Technologies Inc.
- TmaxSoft.
Highlights of The In-Memory Grid 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:
- Cloud
- On-premise
- By Application:
- Transaction Processing
- Fraud and Risk Management
- Supply Chain
- Sales and Marketing
- 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 Grid 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
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
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?
An in-memory grid is a data structure that allows you to store large amounts of data in memory. This can be useful when you need to access the data quickly, or when you want to reduce the amount of storage space that your application needs.
Some of the major players in the in-memory grid market are IBM Corporation, Pivotal Software, Inc., Oracle Corporation, Hazelcast, Inc., Software AG, Alachisoft, Hitachi, Ltd., GridGain Systems, ScaleOut Software, Inc., TIBCO Software Inc., GigaSpaces Technologies Inc., TmaxSoft..
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 In-Memory Grid 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 Grid Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 In-Memory Grid 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 Grid 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 Grid Market Size & Forecast, 2018-2028
4.5.1 In-Memory Grid Market Size and Y-o-Y Growth
4.5.2 In-Memory Grid Market Absolute $ Opportunity
Chapter 5 Global In-Memory Grid 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 In-Memory Grid Market Size Forecast by Type
5.2.1 Cloud
5.2.2 On-premise
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global In-Memory Grid 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 In-Memory Grid Market Size Forecast by Applications
6.2.1 Transaction Processing
6.2.2 Fraud and Risk Management
6.2.3 Supply Chain
6.2.4 Sales and Marketing
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global In-Memory Grid 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 Grid 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 In-Memory Grid Analysis and Forecast
9.1 Introduction
9.2 North America In-Memory Grid 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 In-Memory Grid Market Size Forecast by Type
9.6.1 Cloud
9.6.2 On-premise
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 In-Memory Grid Market Size Forecast by Applications
9.10.1 Transaction Processing
9.10.2 Fraud and Risk Management
9.10.3 Supply Chain
9.10.4 Sales and Marketing
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 In-Memory Grid Analysis and Forecast
10.1 Introduction
10.2 Europe In-Memory Grid 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 In-Memory Grid Market Size Forecast by Type
10.6.1 Cloud
10.6.2 On-premise
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 In-Memory Grid Market Size Forecast by Applications
10.10.1 Transaction Processing
10.10.2 Fraud and Risk Management
10.10.3 Supply Chain
10.10.4 Sales and Marketing
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 In-Memory Grid Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific In-Memory Grid 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 In-Memory Grid Market Size Forecast by Type
11.6.1 Cloud
11.6.2 On-premise
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 In-Memory Grid Market Size Forecast by Applications
11.10.1 Transaction Processing
11.10.2 Fraud and Risk Management
11.10.3 Supply Chain
11.10.4 Sales and Marketing
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 In-Memory Grid Analysis and Forecast
12.1 Introduction
12.2 Latin America In-Memory Grid 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 In-Memory Grid Market Size Forecast by Type
12.6.1 Cloud
12.6.2 On-premise
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 In-Memory Grid Market Size Forecast by Applications
12.10.1 Transaction Processing
12.10.2 Fraud and Risk Management
12.10.3 Supply Chain
12.10.4 Sales and Marketing
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) In-Memory Grid Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) In-Memory Grid 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) In-Memory Grid Market Size Forecast by Type
13.6.1 Cloud
13.6.2 On-premise
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) In-Memory Grid Market Size Forecast by Applications
13.10.1 Transaction Processing
13.10.2 Fraud and Risk Management
13.10.3 Supply Chain
13.10.4 Sales and Marketing
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 Grid Market: Competitive Dashboard
14.2 Global In-Memory Grid Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM Corporation
14.3.2 Pivotal Software, Inc.
14.3.3 Oracle Corporation
14.3.4 Hazelcast, Inc.
14.3.5 Software AG
14.3.6 Alachisoft
14.3.7 Hitachi, Ltd.
14.3.8 GridGain Systems
14.3.9 ScaleOut Software, Inc.
14.3.10 TIBCO Software Inc.
14.3.11 GigaSpaces Technologies Inc.
14.3.12 TmaxSoft.
