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Europe In-Memory Analytics Market Size, Share & Trends Analysis Report By Deployment (Cloud, and On-Premises), By Organization Size (Large Enterprises, and SMEs), By Vertical, By Application, By Country and Growth Forecast, 2024 - 2031

Publisher Knowledge Based Value (KBV) Research
Published Nov 22, 2024
Length 154 Pages
SKU # KBV19363262

Description

Europe In-Memory Analytics Market Size, Share & Trends Analysis Report By Deployment (Cloud, and On-Premises), By Organization Size (Large Enterprises, and SMEs), By Vertical, By Application, By Country and Growth Forecast, 2024 - 2031


The Europe In-Memory Analytics Market would witness market growth of 18.5% CAGR during the forecast period (2024-2031).

The Germany market dominated the Europe In-Memory Analytics Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $605.1 million by 2031. The UK market is exhibiting a CAGR of 17.4% during (2024 - 2031). Additionally, The France market would experience a CAGR of 19.4% during (2024 - 2031).

The advent of real-time analytics has created innovative opportunities for businesses to interact with their consumers in a meaningful way. In-memory analytics enables personalized interactions by processing and analyzing customer data instantaneously. For example, retailers may implement this technology to suggest merchandise in accordance with their clients' browsing histories or purchasing habits. This level of personalization not only improves the customer experience but also drives revenue growth. In the telecommunications sector, companies leverage in-memory analytics to predict customer churn and tailor retention strategies, ensuring stronger relationships and loyalty.

The widespread adoption of Artificial Intelligence (AI) and Machine Learning (ML) has created a pressing need for technologies capable of processing vast datasets rapidly. In-memory analytics addresses this requirement by storing data directly in high-speed RAM, eliminating latency and enhancing the performance of AI and ML applications. For example, in the financial sector, AI-powered fraud detection systems analyze real-time transaction data using in-memory analytics to flag suspicious activity instantly. In the same vein, machine learning models analyze patient data in milliseconds to forecast the progression of disease and suggest treatment strategies, thereby enhancing the speed and precision of the process.

In the United Kingdom, the financial and professional services (FPS) industry contributed £278 billion to the economy in 2023, representing 12% of the UK’s total economic output and generating £100 billion in tax revenue, according to the UK government. The FPS sector relies heavily on in-memory analytics to process financial transactions, detect fraud, and manage risk in real-time. This technology also bolsters the sector's capacity to provide personalized financial services and enhance decision-making, thereby solidifying the United Kingdom's status as a global leader in financial innovation. Therefore, these developments are driving innovation across the continent.

Based on Deployment, the market is segmented into Cloud, and On-Premises. Based on Organization Size, the market is segmented into Large Enterprises, and SMEs. Based on Vertical, the market is segmented into BFSI, Retail & E-commerce, Manufacturing, Government & Defence, Healthcare, Telcos & ITES, and Other Vertical. Based on Application, the market is segmented into Operational Optimization, Marketing Management, Real-Time Analysis & Decision Making, Customer Experience Management, Design & Innovation, and Other Application. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

List of Key Companies Profiled
  • SAP SE
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Hitachi Vantara LLC (Hitachi Ltd.)
  • Google LLC (Alphabet Inc.)
  • SAS Institute Inc.
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • MicroStrategy, Inc.
  • Software AG
Europe In-Memory Analytics Market Report Segmentation

By Deployment
  • Cloud
  • On-Premises
By Organization Size
  • Large Enterprises
  • SMEs
By Vertical
  • BFSI
  • Retail & E-commerce
  • Manufacturing
  • Government & Defence
  • Healthcare
  • Telcos & ITES
  • Other Vertical
By Application
  • Operational Optimization
  • Marketing Management
  • Real-Time Analysis & Decision Making
  • Customer Experience Management
  • Design & Innovation
  • Other Application
By Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

Table of Contents

154 Pages
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe In-Memory Analytics Market, by Deployment
1.4.2 Europe In-Memory Analytics Market, by Organization Size
1.4.3 Europe In-Memory Analytics Market, by Vertical
1.4.4 Europe In-Memory Analytics Market, by Application
1.4.5 Europe In-Memory Analytics Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2020, Mar – 2024, Jun) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. Europe In-Memory Analytics Market by Deployment
5.1 Europe Cloud Market by Country
5.2 Europe On-Premises Market by Country
Chapter 6. Europe In-Memory Analytics Market by Organization Size
6.1 Europe Large Enterprises Market by Country
6.2 Europe SMEs Market by Country
Chapter 7. Europe In-Memory Analytics Market by Vertical
7.1 Europe BFSI Market by Country
7.2 Europe Retail & E-commerce Market by Country
7.3 Europe Manufacturing Market by Country
7.4 Europe Government & Defence Market by Country
7.5 Europe Healthcare Market by Country
7.6 Europe Telcos & ITES Market by Country
7.7 Europe Other Vertical Market by Country
Chapter 8. Europe In-Memory Analytics Market by Application
8.1 Europe Operational Optimization Market by Country
8.2 Europe Marketing Management Market by Country
8.3 Europe Real-Time Analysis & Decision Making Market by Country
8.4 Europe Customer Experience Management Market by Country
8.5 Europe Design & Innovation Market by Country
8.6 Europe Other Application Market by Country
Chapter 9. Europe In-Memory Analytics Market by Country
9.1 Germany In-Memory Analytics Market
9.1.1 Germany In-Memory Analytics Market by Deployment
9.1.2 Germany In-Memory Analytics Market by Organization Size
9.1.3 Germany In-Memory Analytics Market by Vertical
9.1.4 Germany In-Memory Analytics Market by Application
9.2 UK In-Memory Analytics Market
9.2.1 UK In-Memory Analytics Market by Deployment
9.2.2 UK In-Memory Analytics Market by Organization Size
9.2.3 UK In-Memory Analytics Market by Vertical
9.2.4 UK In-Memory Analytics Market by Application
9.3 France In-Memory Analytics Market
9.3.1 France In-Memory Analytics Market by Deployment
9.3.2 France In-Memory Analytics Market by Organization Size
9.3.3 France In-Memory Analytics Market by Vertical
9.3.4 France In-Memory Analytics Market by Application
9.4 Russia In-Memory Analytics Market
9.4.1 Russia In-Memory Analytics Market by Deployment
9.4.2 Russia In-Memory Analytics Market by Organization Size
9.4.3 Russia In-Memory Analytics Market by Vertical
9.4.4 Russia In-Memory Analytics Market by Application
9.5 Spain In-Memory Analytics Market
9.5.1 Spain In-Memory Analytics Market by Deployment
9.5.2 Spain In-Memory Analytics Market by Organization Size
9.5.3 Spain In-Memory Analytics Market by Vertical
9.5.4 Spain In-Memory Analytics Market by Application
9.6 Italy In-Memory Analytics Market
9.6.1 Italy In-Memory Analytics Market by Deployment
9.6.2 Italy In-Memory Analytics Market by Organization Size
9.6.3 Italy In-Memory Analytics Market by Vertical
9.6.4 Italy In-Memory Analytics Market by Application
9.7 Rest of Europe In-Memory Analytics Market
9.7.1 Rest of Europe In-Memory Analytics Market by Deployment
9.7.2 Rest of Europe In-Memory Analytics Market by Organization Size
9.7.3 Rest of Europe In-Memory Analytics Market by Vertical
9.7.4 Rest of Europe In-Memory Analytics Market by Application
Chapter 10. Company Profiles
10.1 Microsoft Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Product Launches and Product Expansions:
10.1.6 SWOT Analysis
10.2 IBM Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Regional & Segmental Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent strategies and developments:
10.2.5.1 Partnerships, Collaborations, and Agreements:
10.2.5.2 Product Launches and Product Expansions:
10.2.5.3 Acquisition and Mergers:
10.2.6 SWOT Analysis
10.3 SAP SE
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Regional Analysis
10.3.4 Research & Development Expense
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.5.2 Product Launches and Product Expansions:
10.3.6 SWOT Analysis
10.4 Oracle Corporation
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expense
10.4.5 Recent strategies and developments:
10.4.5.1 Product Launches and Product Expansions:
10.4.5.2 Acquisition and Mergers:
10.4.6 SWOT Analysis
10.5 Hitachi Vantara LLC (Hitachi Ltd.)
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expenses
10.5.5 SWOT Analysis
10.6 Google LLC (Alphabet Inc.)
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent strategies and developments:
10.6.5.1 Partnerships, Collaborations, and Agreements:
10.6.5.2 Acquisition and Mergers:
10.6.6 SWOT Analysis
10.7 SAS Institute, Inc.
10.7.1 Company Overview
10.7.2 SWOT Analysis
10.8 Amazon Web Services, Inc. (Amazon.com, Inc.)
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental Analysis
10.8.4 Recent strategies and developments:
10.8.4.1 Partnerships, Collaborations, and Agreements:
10.8.4.2 Product Launches and Product Expansions:
10.8.4.3 Acquisition and Mergers:
10.8.5 SWOT Analysis
10.9 MicroStrategy, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Regional Analysis
10.9.4 Research & Development Expenses
10.9.5 SWOT Analysis
10.10. Software AG
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Research & Development Expense

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