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In memory analytics tools leverage memory storage in a computer’s random access memory (RAM) instead of storing data on conventional hard disks. These tools can gather and analyze huge volumes and diverse datasets in various manufacturing industries to inform processes in real-time. They can significantly reduce query response times, allowing business intelligence (BI) and analytic applications to support faster business decisions. The growth of the in memory analytics tools market is attributed to the growing manufacturing industries and rising demand for faster and more accurate business decisions. It is reported that over 33% of large-scale companies used BI to make decisions in 2023. Investing in data analytics increases the speed of decision-making by 5 times.
• In March 2024, Samsung Electronics revealed the expansion of its Compute Express Link (CXL) memory module portfolio and showcased its latest HBM3E technology at Memcon 2024.
The high implementation cost hampers the in memory analytics tools market, limiting its use in SMEs. The future growth opportunities for the market include integrating AI and ML algorithms that can help organizations in predictive analysis, aiding faster decision-making and easily storing large, complex data.
By Component
By Deployment
By Enterprise Size
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For any questions about this dataset or to discuss customization options, please write to us at sales@statifacts.com
Stats ID: | 6557 |
Format: | Databook |
Published: | November 2024 |
Price | US$ 1550 |
Immediate Delivery
Stats ID: | 6557 |
Format: | Databook |
Published: | November 2024 |
Price | US$ 1550 |
Immediate Delivery
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