In-Memory Computing Market Business Scenario, Product, Technology, Share and Forecasts 2020 – 2028

The global in-memory computing market size reached USD 11.55 Billion in 2020 and is expected to register a CAGR of 18.4%, during the forecast period, according to latest analysis by Emergen Research. Global in-memory computing market revenue is expected to increase significantly over the forecast period due to rising demand for faster processing and analytics on big data. Rising need for unifying transactional and analytical processing for real-time insights and closed-loop analytics is expected to further augment revenue growth of the global in-memory computing market going ahead. Increasing introduction of Artificial Intelligence (AI) and Machine Learning (ML)-based technologies for gaining real-time actionable consumer insights is expected to boost global in-memory computing market growth in the near future.

Significant driving forces shaping the future of the In-Memory Computing market for the forecast period 2020 - 2028 find a special mention in the study and are backed by a real-time statistics. Thorough segmentation of the industry by type, application, classification, and geography works as an impetus towards increasing the sale figures and boosting business prospects alongside the hindrances that often restrict the industry's growth. In addition, bifurcation of the market on the basis of consumption volume, customer preference, end-user, and production capacity is explained through important resources including but not limited to charts, graphic images, and tables.

Some Key Highlights in the Report

• The on-premises segment revenue is expected to expand at a significant CAGR during the forecast period. Increasing implementation of on-premises-based in-memory computing systems across various industries to improve data security is expected to boost revenue growth of this segment going ahead.
• In terms of revenue share, the in-memory database segment is expected to register significant growth over the forecast period due to increasing adoption of in-memory database solutions to improve performance and scalability and develop real-time applications.
• Increasing need for improving risk intelligence abilities to fight risk exposures in organizations is expected to drive revenue growth of the risk management & fraud detection segment, which is expected to lead in terms of revenue contribution to the global in-memory computing market during the forecast period.
• In terms of revenue share, the BFSI segment is expected to register significant growth over the forecast period due to increasing adoption of in-memory computing systems for various applications in the BFSI sector.
• Factors such as increasing application of predictive analytics using in-memory computing by small and medium-sized enterprises and government entities in countries in North America is expected to drive growth of the market in the region during the forecast period.
• Key players in the market include Microsoft Corporation, Oracle Corporation, SAP SE, International Business Machines Corporation, TIBCO Software Inc., Intel Corporation, MongoDB Inc., Giga Spaces Technologies Inc., Grid Gain Systems, and Teradata Corporation.
• In July 2019, Intel and SAP announced a technology strategic alliance focused on optimizing Intel platforms, such as Intel Xeon Scalable chipsets and Intel Optane DC persistent memory, for end-to-end SAP enterprise software programs, such as SAP S/4HANA. The strategic alliance will utilize Intel systems to strengthen the SAP platform technologies, which facilitate business applications such as in-memory computing, streaming Big Data analytics, blockchain technology, augmented and virtual reality, ML, and AI.

To get leading market solutions, visit the link below: https://www.emergenresearch.com/industry-report/in-memory-computing-market

Emergen Research has segmented the global in-memory computing market on the basis of deployment, solution, application, end-use, and region:

• Deployment Outlook (Revenue, USD Billion; 2018–2028)
  • On-premises
  • Cloud

• Solution Outlook (Revenue, USD Billion; 2018–2028)
  • In-Memory Database
  • Data Stream Processing
  • In-Memory Data Grid

• Application Outlook (Revenue, USD Billion; 2018–2028)
  • GIS Processing
  • Predictive Analytics
  • Sales & Marketing
  • Sentiment Analysis
  • Supply Chain Management
  • Risk Management & Fraud Detection
  • Others

• End-use Outlook (Revenue, USD Billion; 2018–2028)
  • Government
  • IT and telecom
  • Healthcare 
  • BFSI
  • Transportation & Logistics
  • Energy and Utilities
  • Retail & E-commerce
  • Others