Global In-Memory Data Grid Market is valued approximately USD 2.32 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 12.81% over the forecast period 2023-2030. An in-memory data grid is a distributed data management technology that stores and manages data in the main memory of multiple interconnected servers or nodes. IMDGs provide fast and efficient access to data, making them ideal for high-performance applications that require low latency and high throughput. The In-Memory Data Grid market is expanding because of factors such as increasing demand for cloud and growing demand of IoT devices. IMDGs are often used in applications that require real-time data processing, such as financial trading, online gaming, and e-commerce. They can also be used in big data applications where large volumes of data need to be processed and analyzed quickly. Its importance has progressively increased during the last few decades.
According to the Statista, the market for cloud applications was worth USD 133.6 billion in 2021 and is projected to grow to USD 168.6 billion by 2025. A compound annual growth rate of 4.8% is predicted for the cloud applications software market. Furthermore, In the fourth quarter of 2022, the most popular vendor in the cloud infrastructure services market, Amazon Web Services accounts 32% of the entire market followed by Microsoft Azure with 23% of market share, and Google Cloud with 10% market share. Another important component driving space increase is demand of IoT devices. As per Statista, the number of Internet of Things devices worldwide is forecast to almost triple from 9.7 billion in 2020 to more than 29 billion IoT devices in 2030. In 2030, the highest number of IoT devices will be found in China with around 5 billion consumer devices. In addition, the consumer sector is anticipated to dominate in terms of number of Internet of Things connected devices in 2030, with 17 billion connected devices worldwide. Also, growing technological advancement in Big Data and rising number of social media platforms would create a lucrative growth prospectus for the market over the forecast period. However, the high cost of In-Memory Data Grid stifles market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global In-Memory Data Grid Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the increasing adoption of digitalization and technological advancement in the region. According to the Statista, the memory integrated circuits market in north America is estimated to reach USD 25.89 billion in 2023. Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as growing number of enterprises, particularly in China, Japan, and India, are focusing on managing massive volumes of data effectively in the market space.
Major market player included in this report are:
- GigaSpaces Technologies Inc
- GridGain Systems, Inc.
- Hazelcast, Inc.
- IBM Corporation
- Oracle Corporation
- Parallel Universe
- Red Hat, Inc.
- ScaleOut Software
- Software AG
- TIBCO Software Inc.
Recent Developments in the Market:
- In November 2022, IBM has launched a new software designed to help enterprises break down data and analytics silos. IBM Business Analytics Enterprise offers users a comprehensive view of data sources throughout their whole business through a set of business intelligence planning, budgeting, reporting, forecasting, and dashboard capabilities. This package also includes a new IBM Analytics Content Hub that makes it easier for customers to find and access analytics and planning tools from many vendors in a single, customized dashboard view.
Global In-Memory Data Grid Market Report Scope:
- Historical Data: 2020 - 2021
- Base Year for Estimation: 2022
- Forecast period: 2023-2030
- Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
- Segments Covered: Component, Deployment Type, End User Industry, Region
- Regional Scope: North America; Europe; Asia Pacific; Latin America; Middle East & Africa
- Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*
- The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below.
By Component
By Deployment Type
By End User Industry
- BFSI
- IT and Telecommunication
- Retail
- Healthcare
- Transportation and Logistics
- Others
By Region:
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Spain
- Italy
- ROE
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- RoAPAC
- Latin America
- Brazil
- Mexico
- Middle East & Africa
- Saudi Arabia
- South Africa
- Rest of Middle East & Africa
Table of Contents
Chapter 1. Executive Summary
- 1.1. Market Snapshot
- 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
- 1.2.1. In-Memory Data Grid Market, by Region, 2020-2030 (USD Billion)
- 1.2.2. In-Memory Data Grid Market, by Component, 2020-2030 (USD Billion)
- 1.2.3. In-Memory Data Grid Market, by Deployment Type, 2020-2030 (USD Billion)
- 1.2.4. In-Memory Data Grid Market, by End User Industry, 2020-2030 (USD Billion)
- 1.3. Key Trends
- 1.4. Estimation Methodology
- 1.5. Research Assumption
Chapter 2. Global In-Memory Data Grid Market Definition and Scope
- 2.1. Objective of the Study
- 2.2. Market Definition & Scope
- 2.2.1. Industry Evolution
- 2.2.2. Scope of the Study
- 2.3. Years Considered for the Study
- 2.4. Currency Conversion Rates
Chapter 3. Global In-Memory Data Grid Market Dynamics
- 3.1. In-Memory Data Grid Market Impact Analysis (2020-2030)
- 3.1.1. Market Drivers
- 3.1.1.1. Increasing demand for Cloud
- 3.1.1.2. Growing demand of IoT devices
- 3.1.2. Market Challenges
- 3.1.2.1. Maintaining Data Security of In-Memory Data Grid
- 3.1.3. Market Opportunities
- 3.1.3.1. Growing technological advancement in Big Data
- 3.1.3.2. Rising number of social media platforms
Chapter 4. Global In-Memory Data Grid Market Industry Analysis
- 4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.2. Porter's 5 Force Impact Analysis
- 4.3. PEST Analysis
- 4.3.1. Political
- 4.3.2. Economical
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
- 4.4. Top investment opportunity
- 4.5. Top winning strategies
- 4.6. COVID-19 Impact Analysis
- 4.7. Disruptive Trends
- 4.8. Industry Expert Perspective
- 4.9. Analyst Recommendation & Conclusion
Chapter 5. Global In-Memory Data Grid Market, by Component
- 5.1. Market Snapshot
- 5.2. Global In-Memory Data Grid Market by Component, Performance - Potential Analysis
- 5.3. Global In-Memory Data Grid Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
- 5.4. In-Memory Data Grid Market, Sub Segment Analysis
- 5.4.1. Solution
- 5.4.2. Services
Chapter 6. Global In-Memory Data Grid Market, by Deployment Type
- 6.1. Market Snapshot
- 6.2. Global In-Memory Data Grid Market by Deployment Type, Performance - Potential Analysis
- 6.3. Global In-Memory Data Grid Market Estimates & Forecasts by Deployment Type 2020-2030 (USD Billion)
- 6.4. In-Memory Data Grid Market, Sub Segment Analysis
- 6.4.1. On-premise
- 6.4.2. Cloud
Chapter 7. Global In-Memory Data Grid Market, by End User Industry
- 7.1. Market Snapshot
- 7.2. Global In-Memory Data Grid Market by End User Industry, Performance - Potential Analysis
- 7.3. Global In-Memory Data Grid Market Estimates & Forecasts by End User Industry 2020-2030 (USD Billion)
- 7.4. In-Memory Data Grid Market, Sub Segment Analysis
- 7.4.1. BFSI
- 7.4.2. IT and Telecommunication
- 7.4.3. Retail
- 7.4.4. Healthcare
- 7.4.5. Transportation and Logistics
- 7.4.6. Others
Chapter 8. Global In-Memory Data Grid Market, Regional Analysis
- 8.1. Top Leading Countries
- 8.2. Top Emerging Countries
- 8.3. In-Memory Data Grid Market, Regional Market Snapshot
- 8.4. North America In-Memory Data Grid Market
- 8.4.1. U.S. In-Memory Data Grid Market
- 8.4.1.1. Component breakdown estimates & forecasts, 2020-2030
- 8.4.1.2. Deployment Type breakdown estimates & forecasts, 2020-2030
- 8.4.1.3. End User Industry breakdown estimates & forecasts, 2020-2030
- 8.4.2. Canada In-Memory Data Grid Market
- 8.5. Europe In-Memory Data Grid Market Snapshot
- 8.5.1. U.K. In-Memory Data Grid Market
- 8.5.2. Germany In-Memory Data Grid Market
- 8.5.3. France In-Memory Data Grid Market
- 8.5.4. Spain In-Memory Data Grid Market
- 8.5.5. Italy In-Memory Data Grid Market
- 8.5.6. Rest of Europe In-Memory Data Grid Market
- 8.6. Asia-Pacific In-Memory Data Grid Market Snapshot
- 8.6.1. China In-Memory Data Grid Market
- 8.6.2. India In-Memory Data Grid Market
- 8.6.3. Japan In-Memory Data Grid Market
- 8.6.4. Australia In-Memory Data Grid Market
- 8.6.5. South Korea In-Memory Data Grid Market
- 8.6.6. Rest of Asia Pacific In-Memory Data Grid Market
- 8.7. Latin America In-Memory Data Grid Market Snapshot
- 8.7.1. Brazil In-Memory Data Grid Market
- 8.7.2. Mexico In-Memory Data Grid Market
- 8.8. Middle East & Africa In-Memory Data Grid Market
- 8.8.1. Saudi Arabia In-Memory Data Grid Market
- 8.8.2. South Africa In-Memory Data Grid Market
- 8.8.3. Rest of Middle East & Africa In-Memory Data Grid Market
Chapter 9. Competitive Intelligence
- 9.1. Key Company SWOT Analysis
- 9.1.1. Company 1
- 9.1.2. Company 2
- 9.1.3. Company 3
- 9.2. Top Market Strategies
- 9.3. Company Profiles
- 9.3.1. GigaSpaces Technologies Inc
- 9.3.1.1. Key Information
- 9.3.1.2. Overview
- 9.3.1.3. Financial (Subject to Data Availability)
- 9.3.1.4. Product Summary
- 9.3.1.5. Recent Developments
- 9.3.2. GridGain Systems, Inc.
- 9.3.3. Hazelcast, Inc.
- 9.3.4. IBM Corporation
- 9.3.5. Oracle Corporation
- 9.3.6. Parallel Universe
- 9.3.7. Red Hat, Inc.
- 9.3.8. ScaleOut Software
- 9.3.9. Software AG
- 9.3.10. TIBCO Software Inc.
Chapter 10. Research Process
- 10.1. Research Process
- 10.1.1. Data Mining
- 10.1.2. Analysis
- 10.1.3. Market Estimation
- 10.1.4. Validation
- 10.1.5. Publishing
- 10.2. Research Attributes
- 10.3. Research Assumption