PUBLISHER: SkyQuest | PRODUCT CODE: 1210230
PUBLISHER: SkyQuest | PRODUCT CODE: 1210230
Global In-Memory Computing Market Size was valued at USD 13.57 billion in 2021 and is expected to reach USD 41.53 billion by 2028, at a CAGR of 17.45% over the forecast period (2022-2028).
Over the next seven years, it is anticipated that rising big data adoption will increase industry demand. The industry is characterized by technological advancement and is gradually transitioning from conventional disk-based to in-memory computing based on Dynamic Random Access Memory (DRAM) (IMC). Future growth is anticipated to be aided by hardware advancements like multi-core architecture, parallel servers, and NAND flash memory. Over the next few years, it is also anticipated that advancements in the software sector, such as column-centric databases, compression techniques, and handling aggregate tables, will stimulate industry growth. In the near future, industry growth is anticipated to be aided by the growing demand for speed and accuracy.
Top-down and bottom-up approaches were used to estimate and validate the size of Global in-memory computing Market used to estimate the market size includes the following details: The key players in the market were identified through secondary research and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined by using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Segments covered in this report:
Global in-memory computing market has been segmented based on component, organization size, vertical, application, and region. Based on component, the market is segmented into in-memory data management and in-memory application platform. On the basis of organization site, the market is segmented into small & medium business and large enterprise. According to verticals, global in-memory computing market is segmented into BSFI, transportation, government, retail, healthcare, IT & telecommunication and others. By application, the market is segmented into Risk Management & Fraud Detection, Sentiment Analysis, Geospatial/GIS Processing, Sales & Marketing Optimization, Predictive analysis, Supply Chain Management, Image Processing, and Route Optimization. Based on region, global in-memory computing market is classified into North America, Europe, Asia Pacific, Latin America, and MEA.
Driver
The demand for real-time insights and closed-loop analytics is also anticipated to increase demand for the unification of transactional and analytical processing during the forecast period. Collaborating business intelligence, analytics, and data from various sources is made possible by in-memory computing. In this situation, in-memory computing offers quicker analysis and accurate real-time data analysis. For instant insights, in-memory computing enables real-time advanced analytics and machine learning that can take advantage of colocated business intelligence with storage architecture. Any unfavorable event can have an impact on consumer behavior, business operations, legal compliance, and more, and in-memory computing can give an instant understanding of the impact and repercussions, enabling real-time response and decision-making.
Restraint
In-memory computing market growth will be constrained by a lack of skilled labor and the complexity of big data solutions during the forecast period. Additionally, businesses report difficulty obtaining value from structured, unstructured, or semi-structured data, which will hinder market expansion.
Market Trends
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