In-memory Data Grid Market by Deployment and Geography - Forecast and Analysis 2022-2026

The in-memory data grid market share is expected to increase by USD 1.51 billion from 2021 to 2026, and the market's growth momentum will accelerate at a CAGR of 11.65%.

This in-memory data grid market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers in-memory data grid market segmentation by deployment (on-premise and cloud) and geography (North America, APAC, Europe, South America, and Middle East and Africa). The in-memory data grid market report also offers information on several market vendors, including GigaSpaces Technologies Ltd., Alachisoft, GridGain Systems Inc., Hazelcast Inc., Hitachi Ltd., International Business Machines Corp., Kinetica DB Inc., Oracle Corp., PARIS Technologies International Inc., Red Hat Inc., Redis Inc., ScaleOut Software Inc., SingleStore Inc., Software AG, Splice Machine Inc., The Apache Software Foundation, TIBCO Software Inc., TmaxSoft Inc., and VMware Inc. among others.

What will the In-memory Data Grid Market Size be During the Forecast Period?

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In-memory Data Grid Market: Key Drivers, Trends, and Challenges

The growth of big data is notably driving the in-memory data grid market growth, although factors such as maintaining data security may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the in-memory data grid industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key In-memory Data Grid Market Driver

One of the key factors driving the global in-memory data grid industry growth is the growth of big data. Most businesses and consumer-based applications generate huge amounts of structured and unstructured data. This collected data of high volume, velocity, and variety is stored in data center storage infrastructure. Some data is also stored on-premise at the enterprise location. This data is used to derive insights, which help enterprises make crucial operational and managerial decisions. Big data analytical software is used to identify trends and patterns. A major driver for the increasing volume of data is the growth of the ecosystem of interrelated computing devices, objects, and machines, which do not require human intervention. Thus there is a need for big data, which will, in turn, drive the demand for in-memory data grids globally during the forecast period.

Key In-memory Data Grid Market Trend

Adoption of blockchain solutions is one of the key in-memory data grid market trends that is expected to impact the industry positively in the forecast period. Blockchain technology transports data in blocks and links data blocks with cryptography algorithms. Every data block contains timestamps, information about the previous block in the cryptographic form, and transaction data. The combination of blockchain with big data will further help enterprises track and store the information and data generated from various sensors. Using a combination of blockchain and big data solutions, enterprises can identify the reasons for failure in production without necessarily interrupting the operations. This will propel the demand for in-memory data grids globally during the forecast years.

Key In-memory Data Grid Market Challenge

One of the key challenges to the global in-memory data grid industry growth is maintaining data security. The existing security applications are unable to protect the huge volumes of data sets and manage dynamic and continuous data streams, which are used for big data analysis. Over the past few years, enterprises have been the targets of cyberattacks. For instance, in December 2018, Saipem Spa (Saipem) revealed that a cyberattack on its servers based in India, Italy, and the Middle East disrupted operations. Cybercriminals can use ingenious methods to undermine the quality of enterprise data so as to fabricate data. Thus, enterprises must ensure the security of their devices and applications, which will safeguard the data in the event of a network breach. The exposure of even one device in the network to the attackers can cause a severe data breach. Thus, this will restrict the market growth during the forecast period.

This in-memory data grid market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2022-2026.

Parent Market Analysis

Technavio categorizes the global in-memory data grid market as a part of the global technology hardware, storage, and peripherals market. Our research report has extensively covered external factors influencing the parent market growth potential in the coming years, which will determine the levels of growth of the in-memory data grid market during the forecast period.

Who are the Major In-memory Data Grid Market Vendors?

The report analyzes the market's competitive landscape and offers information on several market vendors, including:

 

• GigaSpaces Technologies Ltd.
• Alachisoft
• GridGain Systems Inc.
• Hazelcast Inc.
• Hitachi Ltd.
• International Business Machines Corp.
• Kinetica DB Inc.
• Oracle Corp.
• PARIS Technologies International Inc.
• Red Hat Inc.
• Redis Inc.
• ScaleOut Software Inc.
• SingleStore Inc.
• Software AG
• Splice Machine Inc.
• The Apache Software Foundation
• TIBCO Software Inc.
• TmaxSoft Inc.
• VMware Inc.

 

This statistical study of the in-memory data grid market encompasses successful business strategies deployed by the key vendors. The in-memory data grid market is fragmented and the vendors are deploying growth strategies such as partnerships and collaborations, new product launches, and mergers and acquisitions to compete in the market.

Product Insights and News

• Alachisoft - The company offers in-memory data grid solutions such as NCache which is an open-source in-memory distributed cache for .NET, Java, and Node.js applications and provides an extremely fast and linearly scalable distributed cache that caches application data and reduces expensive database trips. 
• Alachisoft - Under the unified segment, the company offers products such as TierDeveloper and Ncache. 

To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

The in-memory data grid market forecast report offers in-depth insights into key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.

In-memory Data Grid Market Value Chain Analysis

Our report provides extensive information on the value chain analysis for the in-memory data grid market, which vendors can leverage to gain a competitive advantage during the forecast period. The end-to-end understanding of the value chain is essential in profit margin optimization and evaluation of business strategies. The data available in our value chain analysis segment can help vendors drive costs and enhance customer services during the forecast period.

Which are the Key Regions for In-memory Data Grid Market?

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38% of the market's growth will originate from North America during the forecast period. The US is the key market for in-memory data grids in North America. Market growth in this region will be faster than the growth of the market in Middle East and Africa.

The rapid adoption of big data, due to the need to reduce operating expenses, will facilitate the in-memory data grid market growth in North America over the forecast period. This market research report entails detailed information on the competitive intelligence, marketing gaps, and regional opportunities in store for vendors, which will assist in creating efficient business plans.

COVID Impact and Recovery Analysis

The demand for in-memory data grids has increased during the COVID-19 crisis. In the US, the Centers for Disease Control and Prevention (CDC) uses big data analytics software to control COVID-19 and map the number of cases. The software is run in collaboration with the state, local, and territorial health departments, public health centers, commercial and clinical laboratories, and healthcare providers. The near real-time COVID-19 trackers that continuously pull data from sources around North America help healthcare workers, scientists, epidemiologists, and policymakers aggregate and synthesize incident data. Therefore, such factors are expected to increase in demand for in-memory data grids in the region, thereby driving the growth of the market in focus during the forecast period.

What are the Revenue-generating Deployment Segments in the In-memory Data Grid Market?

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The in-memory data grid market share growth by the on-premise segment will be significant during the forecast period. The major advantage of on-premise deployment is that it offers full client control over the functioning of hardware and software. Large companies that deal with critical business information prefer on-premise big data software solutions as they provide an optimum level of data security with physical access controls and security protocols. Such factors will support the segment growth in the coming years.

This report provides an accurate prediction of the contribution of all the segments to the growth of the in-memory data grid market size and actionable market insights on post COVID-19 impact on each segment.

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In-memory Data Grid Market Scope
Report Coverage	Details
Page number	120
Base year	2021
Forecast period	2022-2026
Growth momentum & CAGR	Accelerate at a CAGR of 11.65%
Market growth 2022-2026	$ 1.51 billion
Market structure	Fragmented
YoY growth (%)	11.11
Regional analysis	North America, APAC, Europe, South America, and Middle East and Africa
Performing market contribution	North America at 38%
Key consumer countries	US, China, Japan, Germany, and UK
Competitive landscape	Leading companies, Competitive strategies, Consumer engagement scope
Key companies profiled	GigaSpaces Technologies Ltd., Alachisoft, GridGain Systems Inc., Hazelcast Inc., Hitachi Ltd., International Business Machines Corp., Kinetica DB Inc., Oracle Corp., PARIS Technologies International Inc., Red Hat Inc., Redis Inc., ScaleOut Software Inc., SingleStore Inc., Software AG, Splice Machine Inc., The Apache Software Foundation, TIBCO Software Inc., TmaxSoft Inc., and VMware Inc.
Market dynamics	Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID 19 impact and recovery analysis and future consumer dynamics, Market condition analysis for forecast period
Customization purview	If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.

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What are the Key Data Covered in this In-memory Data Grid Market Report?

• CAGR of the market during the forecast period 2022-2026
• Detailed information on factors that will drive in-memory data grid market growth during the next five years
• Precise estimation of the in-memory data grid market size and its contribution to the parent market
• Accurate predictions on upcoming trends and changes in consumer behavior
• The growth of the in-memory data grid industry across North America, APAC, Europe, South America, and Middle East and Africa
• A thorough analysis of the market's competitive landscape and detailed information on vendors
• Comprehensive details of factors that will challenge the growth of in-memory data grid market vendors

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