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Global In-Memory Computing Market – Industry Trends and Forecast to 2029

  • ICT
  • Upcoming Report
  • Feb 2022
  • Global
  • 350 Pages
  • No of Tables: 220
  • No of Figures: 60

Global In-Memory Computing Market, 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), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, U.A.E, Saudi Arabia, Egypt, South Africa, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2029

In-Memory Computing Market

Market Analysis and Insights of In-Memory Computing Market

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.

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.

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.

This in-memory computing market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on in-memory computing market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Global In-Memory Computing Market Scope and Market Size

The in-memory computing market is segmented on the basis of component, application, deployment mode, organisation size and vertical. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.

  • On the basis of component, the in-memory computing market is segmented into solutions and services. Solutions is further segmented into in-memory database, in-memory data grid, data stream processing. In-Memory Database is further sub-segmented into online analytical processing, online transaction processing. Services is segmented into professional services and managed services. Professional Services is further sub-segmented into consulting, system integration and implementation, support and maintenance.
  • On the basis of application, the in-memory computing market is segmented into risk management and fraud detection, sentiment analysis, geospatial/ geographic information system processing, sales and marketing, optimization, predictive analysis, supply chain management, others. Others are further sub-segmented into image processing, route optimization, claim processing and modelling, and trade promotion simulations.
  • On the basis of deployment mode, the in-memory computing market is segmented into cloud, on premise.
  • On the basis of organisation size, the in-memory computing market is segmented into small and mid-size enterprises, large enterprises.
  • On the basis of vertical, the in-memory computing market is segmented into 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 and others. Others is further sub-segmented into education, manufacturing, and travel and hospitality.

In-Memory Computing Market Country Level Analysis

The in-memory computing market is analysed and market size, volume information is provided by country, component, application, deployment mode, organisation size and vertical as referenced above.

The countries covered in the in-memory computing market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America dominates the in-memory computing market and will continue to flourish its trend of dominance during the forecast period due to increasing demand for analytics and advanced analytics platforms by small and medium businesses and government agencies in this region. Asia-Pacific will however, register the highest growth rate for this period due to the adoption of in-memory computing technology by different verticals, such as manufacturing and retail in this region.

The country section of the in-memory computing market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Competitive Landscape and In-Memory Computing Market Share Analysis

The in-memory computing market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points are only related to the companies’ focus on the in-memory computing market.

Some of the major players operating in the in-memory computing market are 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, and Kairos AR, Inc. among others.


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Research Methodology:

Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.

The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

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Customization Available:

Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.

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FREQUENTLY ASK QUESTIONS

In-Memory Computing Market grow at a CAGR of 24.00% during the forecast period of 2022 to 2029.
In-Memory Computing Market value to reach of USD 117.5 million during the forecast period of 2022 to 2029.
Global In-Memory Computing Market segmentation By Application such as Risk Management and Fraud Detection, Sentiment Analysis, Geospatial/ Geographic Information System, Processing, Sales and Marketing, Optimization, Predictive Analysis, Supply Chain Management, Others.
This in-memory computing market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market.
The major players operating in the in-memory computing market are 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, and Kairos AR, Inc. among others.
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