Global In-Memory Computing Market Size, Trends & Analysis - Forecasts to 2026 By Component (Solutions [In-Memory Database (IMDB), In-Memory Data Grid (IMDG), and Data Stream Processing], Services [Professional Services, and Managed Services]); By Application (Supply Chain Management, Predictive Analysis, Sales and Marketing Optimization, Geospatial/GIS Processing, Sentiment Analysis, Risk Management, and Fraud Detection, and Others [Image Processing, Route Optimization, Claim Processing, and Modelling, and Trade Promotion Simulations]); By Deployment Mode (On-premises, and Cloud); By Organization Size (Large Enterprises, and SMEs); By Vertical (Media and Entertainment, Energy and Utilities, Government and Defence, Transportation and Logistics, Healthcare and Life Sciences, Retail and eCommerce, IT and Telecom, BFSI, and Others (Education, Manufacturing, and Travel And Hospitality); By Region (North America, Europe, Asia Pacific, MEA, and CSA); End-User Landscape, Vendor Landscape, and Company Market Share Analysis & Competitor Analysis
IMC is the capacity of data in the RAM of servers rather than the customary muddled information bases that work on generally more slow disk drives. The Computing encourages clients to break down enormous information volumes at snappier and generally speaking decrease the inactivity of capacity. In-Memory Computing influences a few cycles, for example, coordination, cost decrease, and empowering quicker dynamic. The remarkable development of huge information and the improved presentation of the investigation is making open doors for the IMC market.
Also, the reduction in the cost of RAM in the market and the growing use of internet services and mobile banking services has resulted in establishing the demand for large data processing. The rising need to handle huge data to facilitate real-time actionable customer insights and improved transaction processing offer lucrative opportunities for the IMC market to proliferate in the coming years.
The components of this market are solutions and service. The solution segment is further sub-divided into the in-memory database (IMDB), in-memory data grid (IMDG), and data stream processing. The in-memory database (IMDB) is the highest growing segment of the in-memory computing system. The reason behind the notable growth of the segment is due to the rising demand for boosting execution and versatility and building ongoing applications. The IMDB also facilitates help development and operational costs by standardizing on the IMC system.
Supply chain management, predictive analysis, sales, and marketing optimization, geospatial/GIS processing, sentiment analysis, risk management, and fraud detection, and others are the categorization of the in-memory computing system based on the application. Risk management and fraud detection will grow quicker than the other segments in the market. The rising need for organizations to keenly focus on the expanding of their risk intelligence capabilities to encounter risk exposures is the prime reason behind the growth of the segment.
On-premises and cloud are the bifurcations of the in-memory computing system based on the deployment model. The cloud segment has gained more popularity as compared to the on-premises segment as it offers allure and promise to provide newfound flexibility for enterprises, everything from saving time and money to enhance agility and scalability.
Based on the size of the companies using this product are large enterprises and SMEs. Out of the two SMEs offers more revenue to the in-memory computing system as compared to the other one as various developing regions such as APAC and North America has seen a huge increase in the SMEs thus offer huge opportunities for the growth of the segment in this region. The change in outlook from utilizing conventional analytical tools to cutting edge expository analytical tools is another factor driving the development of this segment in the estimated time frame.
The in-memory computing system based on the vertical component can be studied as media and entertainment, energy and utilities, government and defense, transportation and logistics, healthcare and life sciences, retail and eCommerce, IT and telecom, BFSI, and others. BFSI is the fastest-growing segment of the in-memory computing system. The banking and insurance sector will contribute to the market the most in terms of value sales.
Asia-Pacific is expected to record the fastest growth of in-memory computing system in the aforementioned period. The adoption of IMC by various verticals is the prime factor adding values to the growth of IMC in the APAC region. With the increasing number of new market entrants for this product, and SMEs, and high demand for big data analytics, the market is ought to grow faster during the study period. Regions like Asia-Pacific have a large number of commercial sectors including start-ups, BPOs. Consulting firms, KPOs, and others.
The key players operating in the market include Hazelcast, Intel, Salesforce, Workday, Teradata, Qlik, Kognitio, VoltDB, McObject, and MemSQL, Microsoft, Enea, Oracle, IBM, SAS Institute, TIBCO, Software AG, Fujitsu, SAP, Red Hat, Altibase, GigaSpaces, GridGain, MongoDB, and Exasol among others.
Please note: This is not an exhaustive list of companies profiled in the report.
In September 2020, SAS and RTI collaborated to tackle challenges faced in the market by bringing joint offerings to government agencies and other organizations.
In August 2020, IBM launched the next-generation IBM POWER central processing unit (CPU).
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The Global In-Memory Computing Market has been studied from the year 2017 till 2026. However, the CAGR provided in the report is from the year 2018 to 2026. The research methodology involved three stages: Desk research, Primary research, and Analysis & Output from the entire research process.
The desk research involved a robust background study which meant referring to paid and unpaid databases to understand the market dynamics; mapping contracts from press releases; identifying the key players in the market, studying their product portfolio, competition level, annual reports/SEC filings & investor presentations; and learning the demand and supply side analysis for the In-Memory Computing Market.
The primary research activity included telephonic conversations with more than 50 tier 1 industry consultants, distributors, and end-use product manufacturers.
Finally, based on the above thorough research process, an in-depth analysis was carried out considering the following aspects: market attractiveness, current & future market trends, market share analysis, SWOT analysis of the companies and customer analytics.
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