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ehteshamuniverse · 4 years ago

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In Memory Computing Market Research Report Countries, Growth Rate, Latest Trends, Future Technologies Forecast to 2026 | COVID-19 Impact

Market Highlights

Global In-Memory Computing Market is expected to perceive a decent rise in income in the upcoming period. In this report, Market Research Future (MRFR) includes the segmentation and dynamics of the market to offer a better glimpse of the coming years.

The in-memory computing market is substantially influenced due to the increasing pandemic situation of COVID-19 across the world. The COVID-19 pandemic has had a major impact on the global economy. The in-memory computing market is anticipated to grow significantly due to the increasing need for rapid data processing and the explosion of big data across various verticals.

Segmentation:

Global In-Memory Computing Market Size has been segmented based on Component, Application, Deployment Mode, Organization Size, Vertical, and Region.

Based on component, the in-memory computing market has been segmented into solutions and services. The solution segment is further divided into in-memory database (IMDB), in-memory data grid (IMDG), and data stream processing. The IMDB segment held the largest market share of the global in-memory computing market and is also expected to witness the highest CAGR during the forecast period. IMDB keeps the whole dataset in RAM instead of a disk drive to produce quicker response times. The in-memory database (IMDB) segment is further sub-classified into online analytical processing (OLAP) and online transaction processing (OLTP).

Based on application, the in-memory computing market has been segmented into sentiment analysis, geospatial/GIS processing, sales and marketing optimization, predictive analysis, risk management and fraud detection, supply chain management, and others. The risk management and fraud detection segment is expected to account for the highest market share during the forecast period. The highest market share of the risk management and fraud detection segment is accredited to a growing focus on enhancing risk intelligence capabilities to fight risk exposures.

Based on deployment mode, the in-memory computing market has been segmented into cloud and on-premises. The cloud segment is likely to have a larger market share in the in-memory computing market during the forecast period. This is mainly due to the cloud database solution that provides scalability, speed, and flexibility. It enables security, privacy, and anonymization with enterprise reliability

Based on organization size, the in-memory computing market has been segmented into SMEs, large enterprises. The SMEs segment held the larger market share of the global in-memory computing market. Increasing demand for big data and the growing number of SMEs drive the growth of the small and mid-size enterprises segment.

Based on vertical, the in-memory computing market has been segmented into BFSI, IT and telecom, retail and e-commerce, healthcare and life sciences, transportation and logistics, government and defense, energy and utilities, media and entertainment, and others. The BFSI segment accounted for the largest market share of the global in-memory computing market and is also expected to witness the highest CAGR during the study period owing to the increasing usage of mobile and Internet banking.

Regional Analysis

The regional analysis for the in-memory computing has been done for North America, Europe, Asia-Pacific, and the Middle East & Africa, and South America. The market in North America accounted for the largest share in 2019, and it is expected to register strong growth during the forecast period. The market in Asia-Pacific is expected to register the highest CAGR during the forecast period. This growth can be attributed to the increasing adoption of cloud and IoT and increasing use of the web.

Key Players

The key players of the global in-memory computing market are IBM (US), SAS Institute (US), TIBCO (US), Software AG (Germany), Intel (Germany), Qlik (US), Red Hat (US), Altibase (US), GigaSpaces (US), Teradata (US), Kognitio (UK), Salesforce (US), Workday (US), Enea (Sweden), Microsoft (US), Oracle (US), Hazelcast (US), MongoDB (US), Exasol (Germany), SAP (Germany), Fujitsu (Japan), GridGain (US), VoltDB (US), McObject (US), and MemSQL (US).

Browse Complete Report @ https://www.marketresearchfuture.com/reports/in-memory-computing-market-10383

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shradhaattumb · 4 years ago

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Global In-Memory Data Grids Software Market Updates, News and Data 2020-2026

Summary

A new market study, titled “Global In-Memory Data Grids Software Market Size, Status and Forecast 2020-2026” has been featured on WiseGuyReports.

This report focuses on the global In-Memory Data Grids Software status, future forecast, growth opportunity, key market and key players. The study objectives are to present the In-Memory Data Grids Software development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

The key players covered in this study Hazelcast Scaleout Software Inc Software AG GridGain Pivotal GigaSpaces Technologies TIBCO Software IBM Red Hat Fujitsu

ALSO READ: https://icrowdnewswire.com/2020/05/21/in-memory-data-grids-software-market-2020-global-covid-19-impact-analysis-trends-opportunities-and-forecast-to-2026/

Market segment by Type, the product can be split into Cloud-Based On-Premises Market segment by Application, split into Large Enterprises (1000+Users) Medium-Sized Enterprise (499-1000 Users) Small Enterprises (1-499Users)

Market segment by Regions/Countries, this report covers North America Europe China Japan Southeast Asia India Central & South America

The study objectives of this report are: To analyze global In-Memory Data Grids Software status, future forecast, growth opportunity, key market and key players. To present the In-Memory Data Grids Software development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America. To strategically profile the key players and comprehensively analyze their development plan and strategies. To define, describe and forecast the market by type, market and key regions.

In this study, the years considered to estimate the market size of In-Memory Data Grids Software are as follows: History Year: 2015-2019 Base Year: 2019 Estimated Year: 2020 Forecast Year 2020 to 2026 For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

FOR MORE DETAILS – https://www.wiseguyreports.com/reports/5215578-global-in-memory-data-grids-software-market-size-status-and-forecast-2020-2026

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techfuturemrfr · 4 years ago

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In-Memory Grid Market is set to grow Substantially during the Forecast Timeframe

Market Overview

In its research report, Market Research Future (MRFR), emphasizes that the global In-Memory Grid Market market 2020 is expected to grow exponentially, securing a substantial market valuation from USD 1.32 billion in 2017 to USD 2.25 billion by 2023, at a substantial CAGR of 11.25% over the review period.

Drivers and Restraints

The market for the in-memory grid is segmented according to feature, form of deployment, application, vertical and area. In-memory grid is a data system that is spread over many servers, offering high data availability while maintaining it in memory. The factor like that the need for a relational data model and database is driving the growth of the global data grid market in memory. In addition, enhancement of the analytical application efficiency and the need to achieve high throughput with real-time processing are expected to further fuel market growth. However, several developments in core systems to take advantage of low latency are increasing the scenario for in-memory data grids to be accepted in many industries. During the forecast period, the increasing number of concurrent transactions involving large volumes of operational data, increased use of real-time analytics across end-verticals, and the need for an effective replacement of relational data model and database remains the key drivers for the in-memory industry. This is generally adopted for the management of big data velocity, volatility, and quantity. Furthermore, the growing demand for distributed architecture that can upsurge the storage capacity of main memory fuel the growth of in-memory grid market.

Get Free Sample Copy Report of In-Memory Grid Market@ https://www.marketresearchfuture.com/sample_request/7366

Segmental Analysis

The demand for in-memory grids is divided into two categories of products, namely services and solutions. The market is bifurcated into cloud and on-premise by type of deployment. The type of on-premise deployment is projected to hold the largest market share over the forecast period. Because of the high critical and sensitive data stored in the system, major companies favor on-premise deployment.

The in-memory grid market is segmented by application into transaction processing, fraud and risk management, the supply chain, and sales and marketing.The category of transaction processing is expected to have the greatest market share in 2017. The growing initiative for digital transformation across industry verticals to facilitate faster and smoother transactions has led to increasing adoption of the transaction processing in-memory grid.

The market is segmented into BFSI, government, healthcare, IT and telecommunications, media & entertainment, retail, and others.

Regional study The global business regional overview was performed in four major regions namely Asia Pacific, North America, Europe and the rest of the world.Due to the rise in the adoption of the connected devices and subsequent rise in data volumes, Asia-Pacific is expected to be the fastest growing area during the prediction period. In addition, increased government initiatives to upgrade IT infrastructure and deploy cost-effective cloud-based solutions are expected to drive the in-memory grid market in Asia Pacific during the forecast period. North America is projected to have the largest market share and over the forecast period will dominate the market for in-memory grids. As a developing economy, the area has seen heavy investments in R&D activities to develop emerging technologies such as the Internet of Things (IoT), big data, and social media. In addition, the presence of the region’s best multinationals further drives growth in those regions.

Access Complete Report @ https://www.marketresearchfuture.com/reports/in-memory-grid-market-7366

Competitive Analysis

The major market players operating in the global in-memory grid market as identified by MRFR are TIBCO Software Inc. (US), Pivotal Software, Inc.(US), IBM Corporation (US), Oracle Corporation (US), Hazelcast, Inc. (US), Software AG (Germany), Red Hat, Inc. (US), Pivotal Software, Inc.(US), Hitachi, Ltd. (Japan), ScaleOut Software, Inc. (US), Hazelcast, Inc. (US), GigaSpaces Technologies Inc. (US).

About Market Research Future:

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients. Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help to answer all their most important questions.

In order to stay updated with technology and work process of the industry, MRFR often plans & conducts meet with the industry experts and industrial visits for its research analyst members.

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digitalconvo · 4 years ago

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In-Memory Data Grid Market – Global Industry Analysis, Size

In-memory Data Grid Market Introduction

An in-memory data grid is a data structure that is distributed across multiple servers of a system, however resides only in its RAM (random access memory). In-memory data grids are used in various data processes to enhance data processing systems of a business. The primary role that an in-memory data grid plays in a system is to avoid data processing delays associated with the traditional input/output bottlenecks in relational databases of a system, for which most developers make use of object-oriented designs.

The needs for external storage and electromechanical mass storage media have been obviated by the technological advancements in multicore, 64-bit systems that enable storing terabytes of data in RAM. Thereby, with the use of an in-memory data grid, end-users are aiming to enhanced performance of RAM by improving the speed of processing data on it. Thereby, a distributed cluster with an in-memory data grid residing in it can ensure both capacity of the system to access and process data by using scalability features provided by a cluster and speed, by storing data in-memory/in RAM.

Vendors in the in-memory data grid market are aiming to capitalize on sales opportunities by focusing on its applications in e-commerce, financial-instrument pricing in banks, cloud applications reservation systems in the transportation industry, and user-preference calculations in various web applications.

Get Brochure of the Report @ https://www.tmrresearch.com/sample/sample?flag=B&rep_id=4890

In-memory Data Grid Market – Notable Developments

In May 2018, Red Hat Inc. – an American multinational software company in the in-memory data grid market – entered a strategic partnership with another American multinational information technology company in the in-memory data grid market – IBM (International Business Machines Corporation). With the collaboration, the company aims to integrate services and technologies to focus on growth opportunities in a hybrid cloud sector. Both the companies also declared their mutual goals to offer their customers the combined benefits of technologies deployed by both, Red Hat and IBM, on private as well as public cloud.

In January 2019, GridGain Systems – a privately held, U.S.-based information technology company in the in-memory data grid market – announced the integration of automatic disk-based data persistence with GridGain Cloud, its in-memory-computing-platform-as-a-service (imcPaaS) solution. The new feature of GridGain’s in-memory data grid ensures immediate data access whenever there is no option to a cluster restart. The company is continually upgrading the consisting designs of its in-memory data grids to offers more scalability and speed through such initiatives that involve artificial intelligence and digital transformations.

In March 2018, Oracle Corporation – an American multinational computer technology corporation in the in-memory data grid market – announced that it has opened a state-of-the-art cloud campus with a 560,000-square-foot office building in Austin, Texas. With this expansion of its capabilities, the company is aiming to strengthen its position in the market by bolstering developments of next-generation technologies, such as machine learning and Artificial Intelligence (AI). In the new cloud campus, Oracle will provide all the necessary resources for the development of cloud technologies, which will ultimately help the company to expand its business operations in the in-memory data grid market.

Some of the most prominent competitors operating in the competitive landscape of global In-memory data grid market include –

Red Hat

IBM

Software AG

Hitachi

Oracle Alachisoft

Hazelcast

ScaleOut Software

GigaSpaces

Pivotal

GridGain

TmaxSoft

TIBCO

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In-memory Data Grid Market Dynamics

Growing Needs for Attaining Unprecedented Levels of Speed at Data Processing Drive the Market

Modern organizations across various industrial sectors are adopting Information Technology (IT) services to enhance their business operations by improving the digital quotient of their business. With the recent advancements in technologies, end-users are expecting unprecedented levels of speed and scalability at accessing and processing data. Furthermore, in-memory data grids offer extraordinary benefits over traditional disk-based data storage systems as, due to their high access latency, hard discs do not offer timely response. Thereby, taking into consideration the increasing needs for eliminating the need for relational database and improving the data storage and processing capability of RAM with a distributed architecture is expected to boost growth of the in-memory data grid market.

Vendors in the In-memory Data Grid Market to Capitalize on Lucrative Opportunities in the BFSI Sector

Financial organizations around the world have to deal with sensitive information involving critical financial transactions. As any error in the data access and processing systems can lead to severe implications in terms for financial as well as ethical problems. Thereby, financial organizations, including Banking, Financial Services, and Insurance (BFSI) institutions are inclined towards growing digitally. Thereby, adoption of in-memory data grids is likely to increase in the BFSI sector with an ultimate aim of building a flexible, lean, and efficient data processing system.

In-memory Data Grid Market Segmentation

Based on the components, the in-memory data grid market is segmented into,

Services

Solutions

Support and Maintenance

Consulting

Education

Based on the deployment types, the in-memory grid market is segmented into,

On-premises

Cloud

Based on the size of the organization, the in-memory data grid market is segmented into,

Large Enterprises

Small- and Medium-sized Enterprises (SMEs)

Based on its applications, the in-memory data grid market is segmented into,

Transaction Processing

Supply Chain Optimization

Fraud and Risk Management

Sales and Marketing Optimization

Based on end-use industries, the in-memory data grid market is segmented into,

Banking, Financial Services, and Insurance (BFSI)

Manufacturing

Transportation and Logistics

Media and Entertainment

Telecommunications and Information Technology

Healthcare and Life Sciences

Consumer Goods and Retail

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About TMR Research:

TMR Research is a premier provider of customized market research and consulting services to business entities keen on succeeding in today’s supercharged economic climate. Armed with an experienced, dedicated, and dynamic team of analysts, we are redefining the way our clients’ conduct business by providing them with authoritative and trusted research studies in tune with the latest methodologies and market trends.

#In-Memory Data Grid Market

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anitakumarigrewal · 5 years ago

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Corporations around the industry verticals are effectively observing a high level of business transformation to obtain the functional excellence and develop their business performance. New and disruptive technologies are fueling the organizations to redefine their business strategies by analyzing the data. In any case of their size, the organizations are rotating to in-memory data grid merchants for better and rapidly decision-making using analytics. Not only has this, the outburst of big data has prompted merchants to increase the systems to maintain ultra-low latency service and real-time data analytics.

According to the report analysis, ‘Global In-Memory Data Grids Market 2019 by Company, Regions, Type and Application, Forecast to 2024’ states that in the worldwide market of the in-memory data grids, there are numerous key players which are recently functioning more positively for leading the fastest market growth and registering the high value of market share around the globe during the short span of time while developing the specification of the technology, delivering the better consumer satisfaction, increasing the applications of the product and spreading the awareness of the applications includes IBM, Software AG, Hazelcast, Pivotal, GigaSpaces Technologies, Red Hat, TIBCO Software, Scaleout Software Inc and several others.

Moreover, the whole factors of the business include some form of transaction. Transactional benefits, such as shopping and retailer apps, demand the high-performance data management. Numerous industry verticals have undertaken initiatives for digital transformation, and it has led to an augment in the transactional benefits. The In-memory data grid aids transaction proceeding by delivering the high data consistency, thereby resulting in speedy and smoother transactions. It can even sustain a large number of concurrent transactions that include the terabytes of operational data. In-memory data grid suggests the elastic scalability, as the number of transactions augment. It can boom the efficiency of payment processing that is critical in locations of trading and online shopping apps.

Based on the region, the market of the in-memory data grid is spread across the globe more effectively which majorly involves North America, Europe, Asia Pacific Region, South America, Middle East and Africa and rest of the globe. However, the Asia-Pacific will inhabit for more market share in following years, particularly in China, also fast growing India and Southeast Asia economy. North America, particularly The United States, will still play an important role which cannot be unnoticed. Any transformations from United States might affect the development trend of In-Memory Data Grids.

Although, increasing digitalization are convincing financial organizations to build a lean, flexible, and efficient advance to cater to consumers. Financial institutions deal with serious information, which, if not appropriately processed, can lead to brutal financial and ethical implications. Therefore, the financial organizations around the globe are determining for in-memory data grid solutions, which can procedure the data in real time and advance the presentation of their business-critical benefits. The BFSI vertical includes corporations that are into banking services, namely the core banking, corporate, retail, investment; financial services that involve the payment gateways, stock broking, and mutual funds; and insurance services casing both life and non-life insurance. Trading systems with elevated the transaction rates are examples of surroundings the best-suited for the in-memory data grid. It allows the financial benefits with real-time analytics owing to sooner data access.

Therefore, in the near years, it is predicted that the market of the in-memory data grid will increase around the globe over the coming years more positively.

To know more, click on the link below:-

Global In-Memory Data Grids Market Research Report

Ken Research

Ankur Gupta, Head Marketing & Communications

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marketreportsmark-blog · 5 years ago

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In-Memory Data Grids Market Overview, Latest Analysis and Future Forecast 2025

The Global In-Memory Data Grids Market Analysis 2019 with forecast period 2020 to 2025 provides an in-depth analysis of market growth factors, future assessment, country-level analysis, In-Memory Data Grids industry distribution, and competitive landscape analysis of major industry players. The report exhibits both In-Memory Data Grids market quantitative as well as qualitative data with tables and figures displayed in the form of bar graphs, and pie charts. In-Memory Data Grids Market report 2019 comprises strategically vital information such as compounded annual growth rate, working capital, enterprise value and the book value of major companies operating in the market.

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Various business decision-makers and stakeholders like presidents, directors, CEOs, vendors, investors, global managers, and business analysts consider these types of information helpful for them to understand the current scenario and trend of In-Memory Data Grids market around the world. It also offers various In-Memory Data Grids market assessment tools, present, and future industry tendencies. It also clarifies brief In-Memory Data Grids information of situations arising players would surface along with the In-Memory Data Grids opportunities and encouraging conditions that will uphold their position in the industry.

Prominent Vendors in In-Memory Data Grids Market:

IBM, Software AG, Hazelcast, Pivotal, GigaSpaces Technologies, Red Hat, TIBCO Software, Scaleout Software Inc

Market Breakdown Data by Types:

Cloud Based

Web Based

Market Breakdown Data by Applications:

Large Enterprises

SMEs

Furthermore, the In-Memory Data Grids industry report entails different market efficiencies, measures, and inceptions. It conducts a significant analysis of the historic period, In-Memory Data Grids market scope studies the present situation to analyze impending plans and perspective. It also figures out global In-Memory Data Grids industry gross margin, import/export particulars, price/cost of the product, market share, growth, and revenue segmentation. It endorses In-Memory Data Grids information about a number of national and international merchants, traders, and dealers.

In-Memory Data Grids Market Breakdown Data by Region/Country:

North America Country (United States, Canada) South America Asia Country (China, Japan, India, Korea) Europe Country (Germany, UK, France, Italy) Other Country (Middle East, Africa, GCC)

The higher rate of rivalry in the worldwide In-Memory Data Grids market has led to peculiarness, efficiency, and contrivance among the top market-leading players. SWOT (Strengths, Weaknesses, Opportunities, and Threats) and In-Memory Data Grids market PEST (Political, Economic, Socio-cultural and technological) analysis conducted helps understanding In-Memory Data Grids market layouts. In addition to this, this report provides worldwide In-Memory Data Grids industry information about CAGR rate, safety responsibilities, floating frameworks of the market, In-Memory Data Grids developmental strategy, and execution of the plan.

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Global In-Memory Data Grids Market Outlook:

Global In-Memory Data Grids market requires the gathering of qualitative and quantitative data by using key strategies, display accurate market share, along with emerging markets on the regional and country level. It provides clear In-Memory Data Grids intuition of raising demands, modern, and future needs of the industry. In-Memory Data Grids market capacity, assessment, and growth component from 2019 to 2025 are also covered in this research.

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ehteshamuniverse · 4 years ago

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In-Memory Computing Market 2019 Global Recent Trends, Competitive Landscape, Size, Segments, Emerging Technologies and Industry Growth by Forecast to 2026

Market Highlights

Key Players

Segmentation:

Global In-Memory Computing Market has been segmented based on Component, Application, Deployment Mode, Organization Size, Vertical, and Region.

Regional Analysis

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