This In-memory computing market report focuses on the leading competitors of the global market and provides information such as company overview, product portfolio, key developments, price, cost, value, volume, revenue, capacity, production and contact information. Upstream raw materials, equipment, and downstream demand analysis have also been carried out in this In-memory computing market report. The research report also analyzes the current development trends and patterns, as well as the distribution and marketing channel. In this In-memory computing market report, the feasibility of the new investment projects is evaluated and overall research conclusions are offered.
The In-memory computing market research report study enumerates the sales, channels chosen by the firm and distributors of the product. Geographically this In-memory computing market report studies the top producers and consumers, focuses on product capacity, production value, consumption, market share and growth opportunity in the key regions Covering North America, South America, Asia and Pacific region, Middle east and Africa.
Data Bridge Market Research analyses that the in-memory computing market will exhibit a CAGR of 24.00% for the forecast period of 2022-2029 and is expected to reach the market value of USD 117.5 million by 2029.
Definition
In-memory computing is the storage of information in the main random access memory (RAM) of dedicated servers instead of in difficult relative databases in operation, on relatively slow disk drives. In-memory computing serves as a database of storing crucial organizational information and protecting it against unwanted threats.
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Key Growth Drivers:
Transactions increases in enterprises is the major factor accelerating the growth of the in-memory computing market in the forecast period of 2022-2029. Furthermore, growing demand for faster processing and analytics on big data, the need for simplifying architecture as the number of various data sources increases and this would create large scope of growth for the market. Rising technological enhancements that are optimizing total cost of ownership is also expected to drive the growth of the in-memory computing market in the forecast period of 2022-2029. However, shortage of skilled workforce and complexity of big data solutions restrains the growth of in-memory computing market in the forecast period of 2022-2029. Also, organizations report trouble in extracting value from structured, unstructured, or semi-structured data which will challenge market growth in the above mentioned forecast period.
In addition, rising adoption of emerging technologies such as artificial intelligence and machine learning will create ample opportunities for the in-memory computing market in the above mentioned forecast period.
The report emphasizes the participation of key entities, notably:
- Microsoft
- IBM
- Alphabet Inc.
- Apple Inc.
- Qualcomm Technologies, Inc.
- Saffron Tech Pvt Ltd
- Sony Depthsensing Solutions SA/NV.
- Affectiva
- Elliptic Laboratories A/S
- Eyesight Technologies Ltd.
- Pyreos Limited
- Cognitec Systems GmbH
- Beyond Verbal
- Numenta
- GestureTek
- Sightcorp
- Sensum Co.
- REALEYES DATA SERVICES LIMITED
- Nemesysco Ltd
- Kairos AR, Inc.
Major Points in the Report
- Understanding the entirety of the in-memory computing marketlandscape thoroughly.
- Exploring the leading entities in this sector, delving into their range of products and core approaches.
- Examining the prominent geographical areas where in-memory computing marketdemonstrates significant growth.
- Keeping abreast of the latest shifts and advancements within the industry.
- Identifying specific areas or markets with high potential and promising expansion opportunities.
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Key Market Segmentation
By Component (Solutions and Services), Application (Risk Management and Fraud Detection, Sentiment Analysis, Geospatial/ Geographic Information System, Processing, Sales and Marketing, Optimization, Predictive Analysis, Supply Chain Management, Others), Deployment Mode (Cloud, On-premise), Organization Size (Small and mid-size nterprises, Large Enterprises), Vertical (Banking Financial Services and Insurance (BFSI), IT and Telecom, Retail and e-commerce, Healthcare and Life Sciences, Transportation and Logistics, Government and Defence, Energy and Utilities, Media and Entertainment, Others)
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