In-memory Analytics Market cover

In-memory Analytics Market by Applications (Design & Innovation, Operation Optimization, Customer Experience Management, Marketing Management, Real-time Analysis & Decision-making, and Others), Verticals (Government & Defense, Manufacturing, BFSI, Retail & E-commerce, Healthcare, Telcos & ITES, and Others), End-users (Large Enterprises and Small & Medium Enterprises), and Regions (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2021 – 2028

  • Report ID: MC-3245
  • Author: Growth Market Reports
  • Rating: 4.2
  • Total Reviews: 2
  • No. Of Pages: 193
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  • Pub. Date: Upcoming
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The global in-memory analytics market size is anticipated to register a considerable CAGR during the forecast period, 2021-2028. The growth of the market is attributed to the growing need for self-service business intelligence.

In-memory Analytics Market summary

In-memory analytics is a Business Intelligence (BI) application, which is used significantly to solve time-bound and complex business situations. It is performed mainly by boosting the performance, speed, and consistency of data validation. It also manages risks, increases revenue, and assists in new product or service innovation. Furthermore, organizations are adopting in-memory analytics as it allows them to spend less time on processes, such as aggregate table design, cube building, query analysis, and other tasks.

The COVID-19 outbreak has brought negative impact on the market due to regulation by government bodies for complete lockdown and temporarily shutdown of industries worldwide. The market is expected to recover soon with an uptrend operation due to subsiding the COVID cases gradually across the globe.

Market Trends, Drivers, Restraints, and Opportunities

  • Digital transformation of enterprises using real-time data analytics is one of the key factors driving the market growth.
  • Technological advancement in computing power is expected to boost the market growth in the coming years.
  • Growing trend for self-service BI tools is anticipated to boost the market expansion during the projected period.
  • Lack of awareness for analytical tools across several industries present a major challenge. This is likely to hinder the market growth during the forecast period.
  • Improved security and scalability with cloud-based in-memory analytics is to create significant growth opportunities for the market in the near future.

Scope of the Report

The report on the global in-memory analytics market includes an assessment of the market, trends, segments, and regional markets. Overview and dynamics have also been included in the report.

Attributes

Details

Report Title

In-memory Analytics Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast

Base Year

2020

Historic Data

2018–2019

Forecast Period

2021–2028

Segmentation

Applications (Design & Innovation, Operation Optimization, Customer Experience Management, Marketing Management, Real-Time Analysis & Decision-making, and Others), Verticals (Government & Defense, Manufacturing, BFSI, Retail & E-commerce, Healthcare, Telcos & ITES, and Others), and End-users (Large Enterprises and Small & Medium Enterprises)

Regional Scope

Asia Pacific, North America, Latin America, Europe, and Middle East & Africa

Report Coverage

Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, and Trends, and Revenue Forecast

Key Players Covered in the Report

Qlik; Information Builders Inc.; Kognitio Ltd.; Oracle Corp.; SAP SE; MicroStrategy Inc.; IBM Corp.; Software AG; SAS Institute Inc.; and Amazon Web Services, Inc.

Market Segment Insights

Customer experience management segment to grow at a rapid pace

Based on applications, the global in-memory analytics market is divided into design & innovation, operation optimization, customer experience management, marketing management, real-time analysis & decision-making, and others. The customer experience management segment is expected to grow at a rapid pace during the forecast period owing to increasing competition in the market, adoption of this management by enterprises offers competitive advantage over their rivals. However, the operation optimization segment is anticipated to hold a key share of the market in the coming years due to the ability it offers in supply chain management to the enterprises.

Large amount of data to drive BFSI segment

In terms of verticals, the market is segregated into government & defense, manufacturing, BFSI, retail & e-commerce, healthcare, telcos & ITES, and others. The BFSI segment is projected to expand at a considerable CAGR during the forecast period attributed to the need of banking & financial institutes for compilation of large amounts of data from multiple sources. Additionally, the in-memory analytics enables the end-user to detect fraud and manage risks in real-time data, which helps user to make instant decisions, is major driver of the segment.

In-memory Analytics Market verticles

Small & medium enterprises segment to hold significant market share

On the basis of end-users, the global in-memory analytics market is bifurcated into large enterprises and small & medium enterprises. The small & medium enterprises segment is anticipated to hold significant market share in the coming years owing to the transition from use of traditional analytical tools to advanced analytical tools. Furthermore, the need for handling large amounts of data from multiple sources has been increased in recent years, which is expected to boost the segment growth further.

North America to constitute a key market share

In terms of regions, the global in-memory analytics market is classified as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. North America is expected to constitute a key share of the market during the projected period attributed to the presence of key global players in the region. However, the market of Asia Pacific is anticipated to expand at a rapid pace during the forecast period owing to increasing investments by governments in advancement of technology across the region.

In-memory Analytics Market region

Segments

Segments Covered in the Report

The global in-memory analytics market has been segmented on the basis of

Applications

  • Design & Innovation
  • Operation Optimization
  • Customer Experience Management
  • Marketing Management
  • Real-Time Analysis & Decision-making
  • Others

Verticals

  • Government & Defense
  • Manufacturing
  • BFSI
  • Retail & E-commerce
  • Healthcare
  • Telcos & ITES
  • Others

End-users

  • Large Enterprises
  • Small & Medium Enterprises

Regions

  • Asia Pacific
  • North America
  • Latin America
  • Europe
  • Middle East & Africa

Key Players

  • Qlik
  • Information Builders Inc.
  • Kognitio Ltd.
  • Oracle Corp.
  • SAP SE
  • MicroStrategy Inc.
  • IBM Corp.
  • Software AG
  • SAS Institute Inc.
  • Amazon Web Services, Inc.

Competitive Landscape

Key players competing in the global in-memory analytics market are Qlik; Information Builders Inc.; Kognitio Ltd.; Oracle Corp.; SAP SE; MicroStrategy Inc.; IBM Corp.; Software AG; SAS Institute Inc.; and Amazon Web Services, Inc. As part of their efforts to expand their client base and acquire a competitive advantage over competitors, manufacturers operating in the market have adopted various strategic initiatives, such as partnerships, collaborations, and mergers & acquisitions. Moreover, companies are focusing on investment in R&D for development and launching of new products to maintain their competitive positions in the market.

In-memory Analytics Market keyplayers

For instance, in 2016, SAP SE and Samsung operated a combined research center and conducted R&D for solutions related to memory in the upcoming in-memory computing domain. In 2017, MicroStrategy Inc. introduced the MicroStrategy platform on Amazon Web Services to offer users access to on-demand BI solutions spontaneously.

1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. In-memory Analytics Market Overview
  4.1. Introduction
     4.1.1. Market Taxonomy
     4.1.2. Market Definition
  4.2. Macro-Economic Factors
     4.2.1. Industry Outlook
  4.3. In-memory Analytics Market Dynamics
     4.3.1. Market Drivers
     4.3.2. Market Restraints
     4.3.3. Opportunity
     4.3.4. Market Trends
  4.4. In-memory Analytics Market - Supply Chain
  4.5. Global In-memory Analytics Market Forecast
     4.5.1. In-memory Analytics Market Size (US$ Mn) and Y-o-Y Growth
     4.5.2. In-memory Analytics Market Size (000’ Units) and Y-o-Y Growth
     4.5.3. In-memory Analytics Market Absolute $ Opportunity
5. Global In-memory Analytics Market Analysis and Forecast by Region
  5.1. Market Trends
  5.2. Introduction
     5.2.1. Basis Point Share (BPS) Analysis by Region
     5.2.2. Y-o-Y Growth Projections by Region
  5.3. In-memory Analytics Market Size and Volume Forecast by Region
     5.3.1. North America
     5.3.2. Latin America
     5.3.3. Europe
     5.3.4. Asia Pacific
     5.3.5. Middle East and Africa (MEA)
  5.4. Absolute $ Opportunity Assessment by Region
  5.5. Market Attractiveness/Growth Potential Analysis by Region
  5.6. Global In-memory Analytics Demand Share Forecast, 2019-2026
6. North America In-memory Analytics Market Analysis and Forecast
  6.1. Introduction
     6.1.1. Basis Point Share (BPS) Analysis by Country
     6.1.2. Y-o-Y Growth Projections by Country
  6.2. North America In-memory Analytics Market Size and Volume Forecast by Country
     6.2.1. U.S.
     6.2.2. Canada
  6.3. Absolute $ Opportunity Assessment by Country
  6.4. Market Attractiveness/Growth Potential Analysis
     6.4.1. By Country
     6.4.2. By Product Type
     6.4.3. By Application
  6.5. North America In-memory Analytics Demand Share Forecast, 2019-2026
7. Latin America In-memory Analytics Market Analysis and Forecast
  7.1. Introduction
     7.1.1. Basis Point Share (BPS) Analysis by Country
     7.1.2. Y-o-Y Growth Projections by Country
     7.1.3. Latin America Average Pricing Analysis
  7.2. Latin America In-memory Analytics Market Size and Volume Forecast by Country
      7.2.1. Brazil
      7.2.2. Mexico
      7.2.3. Rest of Latin America
   7.3. Absolute $ Opportunity Assessment by Country
  7.4. Market Attractiveness/Growth Potential Analysis
     7.4.1. By Country
     7.4.2. By Product Type
     7.4.3. By Application
  7.5. Latin America In-memory Analytics Demand Share Forecast, 2019-2026
8. Europe In-memory Analytics Market Analysis and Forecast
  8.1. Introduction
     8.1.1. Basis Point Share (BPS) Analysis by Country
     8.1.2. Y-o-Y Growth Projections by Country
     8.1.3. Europe Average Pricing Analysis
  8.2. Europe In-memory Analytics Market Size and Volume Forecast by Country
     8.2.1. Germany
     8.2.2. France
     8.2.3. Italy
     8.2.4. U.K.
     8.2.5. Spain
     8.2.6. Russia
     8.2.7. Rest of Europe
  8.3. Absolute $ Opportunity Assessment by Country
  8.4. Market Attractiveness/Growth Potential Analysis
     8.4.1. By Country
     8.4.2. By Product Type
     8.4.3. By Application
  8.5. Europe In-memory Analytics Demand Share Forecast, 2019-2026
9. Asia Pacific In-memory Analytics Market Analysis and Forecast
  9.1. Introduction
     9.1.1. Basis Point Share (BPS) Analysis by Country
     9.1.2. Y-o-Y Growth Projections by Country
     9.1.3. Asia Pacific Average Pricing Analysis
  9.2. Asia Pacific In-memory Analytics Market Size and Volume Forecast by Country
     9.2.1. China
     9.2.2. Japan
     9.2.3. South Korea
     9.2.4. India
     9.2.5. Australia
     9.2.6. Rest of Asia Pacific (APAC)
  9.3. Absolute $ Opportunity Assessment by Country
  9.4. Market Attractiveness/Growth Potential Analysis
     9.4.1. By Country
     9.4.2. By Product Type
     9.4.3. By Application
  9.5. Asia Pacific In-memory Analytics Demand Share Forecast, 2019-2026
10. Middle East & Africa In-memory Analytics Market Analysis and Forecast
  10.1. Introduction
     10.1.1. Basis Point Share (BPS) Analysis by Country
     10.1.2. Y-o-Y Growth Projections by Country
     10.1.3. Middle East & Africa Average Pricing Analysis
  10.2. Middle East & Africa In-memory Analytics Market Size and Volume Forecast by Country
     10.2.1. Saudi Arabia
     10.2.2. South Africa
     10.2.3. UAE
     10.2.4. Rest of Middle East & Africa (MEA)
  10.3. Absolute $ Opportunity Assessment by Country
  10.4. Market Attractiveness/Growth Potential Analysis
     10.4.1. By Country
     10.4.2. By Product Type
     10.4.3. By Application
  10.5. Middle East & Africa In-memory Analytics Demand Share Forecast, 2019-2026
11. Competition Landscape
  11.1. Global In-memory Analytics Market: Market Share Analysis
  11.2. In-memory Analytics Distributors and Customers
  11.3. In-memory Analytics Market: Competitive Dashboard
  11.4. Company Profiles (Details: Overview, Financials, Developments, Strategy)
     11.4.1. Qlik
     11.4.2. Information Builders Inc.
     11.4.3. Kognitio Ltd.
     11.4.4. Oracle Corp.
     11.4.5. SAP SE
     11.4.6. MicroStrategy Inc.
     11.4.7. IBM Corp.

Segments Covered in the Report

The global in-memory analytics market has been segmented on the basis of

Applications

  • Design & Innovation
  • Operation Optimization
  • Customer Experience Management
  • Marketing Management
  • Real-Time Analysis & Decision-making
  • Others

Verticals

  • Government & Defense
  • Manufacturing
  • BFSI
  • Retail & E-commerce
  • Healthcare
  • Telcos & ITES
  • Others

End-users

  • Large Enterprises
  • Small & Medium Enterprises

Regions

  • Asia Pacific
  • North America
  • Latin America
  • Europe
  • Middle East & Africa

Key Players

  • Qlik
  • Information Builders Inc.
  • Kognitio Ltd.
  • Oracle Corp.
  • SAP SE
  • MicroStrategy Inc.
  • IBM Corp.
  • Software AG
  • SAS Institute Inc.
  • Amazon Web Services, Inc.

Key players competing in the global in-memory analytics market are Qlik; Information Builders Inc.; Kognitio Ltd.; Oracle Corp.; SAP SE; MicroStrategy Inc.; IBM Corp.; Software AG; SAS Institute Inc.; and Amazon Web Services, Inc. As part of their efforts to expand their client base and acquire a competitive advantage over competitors, manufacturers operating in the market have adopted various strategic initiatives, such as partnerships, collaborations, and mergers & acquisitions. Moreover, companies are focusing on investment in R&D for development and launching of new products to maintain their competitive positions in the market.

In-memory Analytics Market keyplayers

For instance, in 2016, SAP SE and Samsung operated a combined research center and conducted R&D for solutions related to memory in the upcoming in-memory computing domain. In 2017, MicroStrategy Inc. introduced the MicroStrategy platform on Amazon Web Services to offer users access to on-demand BI solutions spontaneously.

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