In-Memory Analytics Market Size, Share & Trends Analysis Report By Application, By End-Use (SMEs, Large Enterprises), By Vertical, By Region, And Segment Forecasts, 2018 - 2025

Industry Insights

The global in-memory analytics market size was valued at USD 1,054.5 million in 2016 and is expected to grow at a CAGR of 23.8% over the forecast period. The growing need for self-service business intelligence and advanced technologies are the factors driving the growth of the market. Additionally, the decrease in hardware costs and competitive rivalry has created a gateway for the market.

The growing emphasis on cost optimization, massive storage for complex data, and innovation have boosted the usage of in-memory analytics. It enables obtaining real-time information, thus allowing enterprises to make improved decisions for profit maximization.

The implementation of in-memory analytics provides numerous benefits such as fast processing, real-time insights, and safety & security, among others. However, for it to work seamlessly, it needs proper expertise at all levels. The lack of experts, especially in developing economies, is one of the significant challenges for the market. Moreover, concerns related to data privacy and data security might hinder the growth prospects for the market.

In the U.S., the customer experience management application segment dominated the in-memory analytics market in 2016, followed by the operational efficiency application segment. The in-memory analytics help customers to get real-time experience. It also aids in reducing the time and increasing the understanding of users for making better operational and marketing decisions.

Application Insights

The customer experience management segment is expected to be the fastest-growing segment, and it held the largest market share in 2016. It enables enterprises to manage customer insights and provide customized services. Increasing competition is encouraging enterprises to adopt in-memory analytics that gives them a competitive advantage over rivals.

Additionally, operations optimization enables real-time visibility of operations such as product, process, and workforce management. Furthermore, the supply chain management is also enhanced. Thus, the market for operational optimization is expected to grow steadily over the forecast period.

Vertical Insights

Real-time analysis and decision-making have enabled enterprises to make better strategic decisions. All the sectors such as BFSI, healthcare, telecommunications, government & defense, and others require real-time data to keep updating the status of their customers and customizing products and services accordingly.

BFSI is projected to be the fastest-growing vertical over the forecast period. The banking and insurance sector compiles large amounts of data from many sources. The in-memory analytics enables the user to manage risks and detect fraud in real-time data, which facilitates users to make quick decisions.

End-Use Insights

Regarding end-use, the Small & Medium Enterprises (SMEs) are expected to grow at a higher rate than large enterprises, over the estimated period. The primary factor driving the growth of small enterprises is the paradigm shift from using traditional analytical tools to advanced analytical tools.

Competitive rivalry and decreased hardware costs also account for the development of SMEs. Additionally, the need for handling large amounts of data from many sources has risen in recent years.

Regional Insights

North America dominated the market in 2016 and is anticipated to continue to dominate over the forecast years, owing to the presence of prominent players such as SAP SE, Software AG, Kognitio Ltd, and others.

The region has significantly contributed to the adoption of in-memory analytics due to the presence of strong wireless connectivity. Early adoption of the latest technologies in various sectors, such as BFSI, retail & e-commerce, telcos & ITES, healthcare, and others, has positively influenced the overall market growth.

In-Memory Analytics Market Share Insights  

Prominent players operating in the market include Oracle, SAP SE, MicroStrategy Inc., International Business Machines (IBM), Software AG, Amazon Web Services, SAS Institute Inc., Qlik, Information Builders Inc., and Kognitio Ltd, among others.

Players in the market are primarily focusing on innovation and cost-efficiency. Companies have also increased their R&D spending to develop innovative solutions and to gain strategic advantages over competitors. Apart from new product development and building partnerships, dominant market players have adopted mergers & acquisitions as the key strategy to gain traction in the market. For instance, in 2016, SAP SE and Samsung opened a joint research center to conduct research & development for memory solutions in the upcoming in-memory computing domain. In June 2017, MicroStrategy Inc. released the MicroStrategy platform on Amazon Web Services to facilitate users to access on-demand BI solutions quickly.

Report Scope

Segments Covered in the Report

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the industry trends in each of the sub-segments from 2014 to 2025. For this study, Grand View Research has segmented the global in-memory analytics market based on application, end-use, vertical, and region:

• Application Outlook (Revenue, USD Million; 2014 - 2025)

  • Customer Experience Management

  • Design & Innovation

  • Operation Optimization

  • Marketing Management

  • Real-Time Analysis and Decision-making

  • Others

• End-Use Outlook (Revenue, USD Million; 2014 - 2025)

  • SMEs

  • Large Enterprises

• Vertical Outlook (Revenue, USD Million; 2014 - 2025)

  • BFSI

  • Retail & E-commerce

  • Government & Defense

  • Healthcare

  • Manufacturing

  • Telcos & ITES

  • Others

• Regional Outlook (Revenue, USD Million; 2014 - 2025)

  • North America

    • The U.S.

    • Canada

  • Europe

    • The U.K.

    • Germany

  • Asia Pacific

    • China

    • Japan

  • Latin America

  • Middle East & Africa (MEA)