Increasing demand for real-time data processing and AI-driven applications is fueling the growth of the In-Memory Computing market.
Pune, Feb. 05, 2025 (GLOBE NEWSWIRE) — In-Memory Computing Market Size Analysis:
“The SNS Insider report indicates that the
Major Players Analysis Listed in this Report are:
- SAP SE – SAP HANA
- IBM – IBM Db2 with BLU Acceleration
- Microsoft – Azure SQL Database In-Memory
- Oracle Corporation – Oracle TimesTen In-Memory Database
- Intel – Intel Optane DC Persistent Memory
- Microsoft – SQL Server In-Memory OLTP
- GridGain Systems – GridGain In-Memory Computing Platform
- VMware – VMware vSphere with Virtual Volumes
- Amazon Web Services (AWS) – Amazon ElastiCache
- Pivotal Software – Pivotal GemFire
- TIBCO Software Inc.– TIBCO ActiveSpaces
- Redis Labs – Redis Enterprise
- Hazelcast – Hazelcast IMDG (In-Memory Data Grid)
- Cisco – Cisco In-Memory Analytics
- Qlik – Qlik Data integration
In-Memory Computing Market Report Scope:
Report Attributes | Details |
Market Size in 2023 | USD 10.9 Billion |
Market Size by 2032 | USD 45.0 Billion |
CAGR | CAGR of 17.08% From 2024 to 2032 |
Base Year | 2023 |
Forecast Period | 2024-2032 |
Historical Data | 2020-2022 |
Key Regional Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe [Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
Key Growth Drivers | • Increasing demand for AI-driven applications, especially in data centers, is accelerating the need for high-speed memory processing. • Businesses require ultra-low latency solutions for big data analytics, financial transactions, and real-time decision-making. |
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By Components: Hardware Segment Dominates the Market, Software Segment Registers Fastest CAGR
The hardware segment dominated the market and accounted for the largest revenue share of more than 45% in 2023, due to the increasing demand for high-performance memory modules such as dynamic random-access memory and high-bandwidth memory. With businesses across the globe embracing real-time analytics and AI-driven applications, the demand for faster memory solutions only grows.
The software segment is anticipated to observe the fastest CAGR during the forecast period. As many businesses have started adopting AI and machine learning, they are now looking for solutions that can fine-tune the in-memory computing systems. This is an-important aspect to ensure that the solutions are all-needed for data processing management, performance improvement, and compatibility with new hardware technologies.
By Application: Fraud Detection Segment Dominates, Real-Time Analytics Registers Fastest CAGR
Fraud detection dominated the In-Memory Computing market with revenue share of more than 41% in 2023. This key part necessitates real-time data processing to detect and prevent fraudulent activities in sectors such as banking and e-commerce. As cyber threats continue to rise, the requirement of quick actions will increase along with this, so for the next couple of following years, the demand for real-time fraud detection will grow gradually.
Real-time analytics is anticipated to grow at the highest CAGR during the forecast period. With industries betting more and more on data-driven insights to make decisions, the demand for real-time analytics solutions is skyrocketing. With applications in sectors like healthcare, retail, and manufacturing, real-time data processing helps businesses analyze masses of data rapidly and obtain actionable insights.
By Vertical: BFSI Segment Dominates, Healthcare Registers Fastest CAGR
The BFSI sector holds the largest share of the In-Memory Computing market as there is a growing demand for real-time data processing in financial transactions, fraud detection, and risk management. High data usage and the increased role of AI in fintechs are the major drivers for the demand of in-memory computing within the sector.
The healthcare sector is anticipated to exhibit the fastest growth rate during the projected period. The adoption of digital health technologies has resulted in the need for real-time patient data analysis while in-memory computing solutions are being embraced by the healthcare sector at a rapid pace. They are important to drive operational efficiency, patient outcomes, and real-time decision making in critical care.
In-Memory Computing Market Segmentation:
By Components
- Hardware
- Software
- Services
By Application
- Fraud detection
- Risk management
- Real-time analytics
- High-frequency trading
By Vertical
- BFSI
- Healthcare
- Retail
- Telecoms
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Regional Analysis: North America Dominates the Market, APAC Registers Fastest CAGR
North America continues to be the leading region in the In-Memory Computing market owing to factors such as the presence of global technology pioneers coupled with advanced infrastructure and rapid adoption of AI, big data analytics, and IoT applications over the last few years. In particular, the U.S. is dominating the market as the finance, healthcare, and retail sectors are fuelling the growth of in-memory computing solutions.
The fastest CAGR during the forecast period, will be recorded by the Asia-Pacific region, due to the rapid pace of technology development and the significant investments in digital infrastructure, especially in countries, such as China and India, and the growing adoption of artificial intelligence in the region. However, the increasing demand for in-memory computing solutions in the automobile, communications, manufacturing, and other industries in China, Japan, India, and prominent countries with effective manufacturing process are expected to fuel the growth of the market.
Advancements in Data Processing: SAP HANA and Intel Optane DC Memory Lead the Way in 2024
January 2024, SAP introduced new capabilities to its HANA platform to enhance real-time analytics for large-scale data environments.
February 2024, Intel announced advancements in its Optane DC memory, offering improved performance for high-performance computing applications.
Table of Contents – Major Key Points
1. Introduction
2. Executive Summary
3. Research Methodology
4. Market Dynamics Impact Analysis
5. Statistical Insights and Trends Reporting
6. Competitive Landscape
7. In Memory Computing Market Segmentation, By Component
8. In Memory Computing Market Segmentation, by Application
9. In Memory Computing Market Segmentation, by End-User
10. Regional Analysis
11. Company Profiles
12. Use Cases and Best Practices
13. Conclusion
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