In-Memory Computing Market by Product Type, End-Users, and Geography (North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa): Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2024-2032

Description

Persistence Market Research presents an in-depth analysis of the global In-Memory Computing Market, offering insights into market dynamics, growth drivers, challenges, and emerging trends. This report serves as a comprehensive guide for stakeholders, providing detailed data and statistics from 2024 to 2032 to navigate the evolving landscape of in-memory computing.

The global in-memory computing market is poised for substantial growth, with a projected CAGR of 17.5% during the forecast period from 2024 to 2032. The market is expected to expand from an estimated value of USD 21.4 billion in 2024 to USD 77.7 billion by the end of 2032.

Key Insights:

Estimated Market Value (2024): USD 21.4 Billion
Projected Market Value (2032): USD 77.7 Billion
Global Market Growth Rate (CAGR 2024 to 2032): 17.5%

In-Memory Computing Market - Report Scope:

In-memory computing technology has gained significant traction across various industries due to its ability to process large volumes of data in real-time. The market is driven by the increasing demand for faster data processing, analytics, and insights to support decision-making in today's data-driven business environment. In-memory computing solutions offer speed, scalability, and reliability, enabling organizations to gain actionable insights from their data and enhance operational efficiency.

Market Growth Drivers:

The growth of the in-memory computing market is fueled by several factors, including the exponential growth of data, advancements in technology, and the proliferation of digital transformation initiatives. With the rapid digitization of businesses and the emergence of technologies such as IoT, AI, and machine learning, the volume, velocity, and variety of data continue to increase exponentially. In-memory computing enables organizations to analyze and derive insights from this vast amount of data in real-time, driving efficiency, innovation, and competitive advantage.

Market Restraints:

Despite its numerous benefits, the adoption of in-memory computing faces challenges such as high implementation costs, complexity, and data security concerns. Implementing in-memory computing solutions requires significant investment in hardware, software, and skilled personnel, which can be a barrier for small and medium-sized enterprises (SMEs). Moreover, the complexity of integrating in-memory computing with existing IT infrastructure and applications can hinder adoption. Additionally, data security and privacy concerns, particularly in industries such as healthcare and finance, pose challenges for widespread adoption of in-memory computing solutions.

Market Opportunities:

The in-memory computing market presents significant opportunities for innovation and growth, driven by emerging trends such as edge computing, real-time analytics, and in-memory databases. With the proliferation of IoT devices and edge computing solutions, there is a growing need for real-time data processing and analytics at the edge. In-memory computing enables organizations to process and analyze data closer to the source, reducing latency and enabling faster decision-making. Furthermore, the integration of in-memory computing with AI and machine learning technologies offers opportunities to derive actionable insights and drive intelligent automation across industries.

Key Questions Addressed in the Report:

What is the Expected Value CAGR of the In-Memory Computing Market?
What are the Key Factors Driving the Growth of the In-Memory Computing Market?
Which Industry Vertical Holds the Largest Market Share in the In-Memory Computing Market?
Who are the Key Players in the Global In-Memory Computing Market?
What Strategies are Adopted by Leading Companies to Sustain Growth in the In-Memory Computing Market?

Competitive Landscape and Business Strategies:

Leading players in the in-memory computing market include SAP SE, Oracle Corporation, and IBM Corporation. These companies focus on product innovation, strategic partnerships, and acquisitions to maintain their competitive edge. Strategies such as offering cloud-based in-memory computing solutions, expanding into emerging markets, and enhancing customer support and services are commonly employed to drive growth. Additionally, investment in research and development (R&D) to improve performance, scalability, and security of in-memory computing solutions is essential to meet evolving customer needs and stay ahead of the competition.

Key Companies Profiled:

SAP SE
Oracle Corporation
IBM Corporation
Microsoft Corporation
GridGain Systems, Inc.
TIBCO Software Inc.
Software AG
Intel Corporation
Hazelcast, Inc.
GigaSpaces Technologies Ltd.

In-Memory Computing Market Segmentation:

By Components

Solution

In-Memory Database (IMED)

In-Memory Data Grid (IMDG)

Service

Professional Services

Managed Services

By Application

Risk Management & Fraud Detection
Sentiment Analysis
Geospatial/GIS Processing
Sales & Marketing Optimization
Predictive analysis
Supply Chain Management
Image Processing
Route Optimization

By Deployment

On-premise
Cloud

By Vertical

BFSI
IT and Telecom
Manufacturing
Healthcare & Lifestyle
Education
Retail & E-Commerce
Transportation & Logistics
Government & Defense
Energy & Utilities
Media & Entertainment

By Region:

North America
Europe
Asia Pacific
Latin America
Middle East & Africa

Product Code: PMRREP33026

1. Executive Summary

1.1. Global Market Outlook
1.2. Summary of Statistics
1.3. Key Market Characteristics & Attributes
1.4. Fact.MR Analysis and Recommendations

2. Market Overview

2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations

3. Market Risks and Trends Assessment

3.1. Risk Assessment
- 3.1.1. COVID-19 Crisis and Impact on In-Memory Computing Demand
- 3.1.2. COVID-19 Impact Benchmark with Previous Crisis
- 3.1.3. Impact on Market Value (US$ Mn)
- 3.1.4. Assessment by Key Countries
- 3.1.5. Assessment by Key Market Segments
- 3.1.6. Action Points and Recommendation for Suppliers
3.2. Key Trends Impacting the Market
3.3. Formulation and Product Development Trends

4. Market Background

4.1. In-Memory Computing Market By Country, US$ Mn
4.2. In-Memory Computing Market Opportunity Assessment (US$ Mn)
- 4.2.1. Total Available Market
- 4.2.2. Serviceable Addressable Market
- 4.2.3. Serviceable Obtainable Market
4.3. Market Scenario Forecast
- 4.3.1. Demand in optimistic Scenario
- 4.3.2. Demand in Likely Scenario
- 4.3.3. Demand in Conservative Scenario
4.4. Investment Feasibility Analysis
- 4.4.1. Investment in Established Markets
  - 4.4.1.1. In Short Term
  - 4.4.1.2. In Long Term
- 4.4.2. Investment in Emerging Markets
  - 4.4.2.1. In Short Term
  - 4.4.2.2. In Long Term
4.5. Forecast Factors - Relevance & Impact
- 4.5.1. Top Companies Historical Growth
- 4.5.2. Global In-Memory Computing Market Growth
- 4.5.3. In-Memory Computing Adoption Rate, By Country
4.6. Market Dynamics
- 4.6.1. Market Driving Factors and Impact Assessment
- 4.6.2. Prominent Market Challenges and Impact Assessment
- 4.6.3. In-Memory Computing Market Opportunities
- 4.6.4. Prominent Trends in the Global Market & Their Impact Assessment

5. Key Success Factors

5.1. Manufacturers' Focus on Low Penetration High Growth Markets
5.2. Banking on with Segments High Incremental Opportunity
5.3. Peer Benchmarking

6. Global In-Memory Computing Market Demand Analysis 2019-2023 and Forecast, 2024-2032

6.1. Historical Market Analysis, 2019-2023
6.2. Current and Future Market Projections, 2024-2032
6.3. Y-o-Y Growth Trend Analysis

7. Global In-Memory Computing Market Value Analysis 2019-2023 and Forecast, 2024-2032

7.1. Historical Market Value (US$ Mn) Analysis, 2019-2023
7.2. Current and Future Market Value (US$ Mn) Projections, 2024-2032
- 7.2.1. Y-o-Y Growth Trend Analysis
- 7.2.2. Absolute $ Opportunity Analysis

8. Global In-Memory Computing Market Analysis 2019-2023 and Forecast 2024-2032, By Component

8.1. Introduction / Key Findings
8.2. Historical Market Value (US$ Mn) and Analysis By Component, 2019-2023
8.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Component, 2024-2032
- 8.3.1. Solutions
  - 8.3.1.1. In-Memory Database (IMDB)
  - 8.3.1.2. In-Memory Data Grid (IMDG)
  - 8.3.1.3. Data Stream Processing
- 8.3.2. Services
  - 8.3.2.1. Professional Services
  - 8.3.2.2. Managed Services
8.4. Market Attractiveness Analysis By Component

9. Global In-Memory Computing Market Analysis 2019-2023 and Forecast 2024-2032, By Organization Size

9.1. Introduction / Key Findings
9.2. Historical Market Value (US$ Mn) and Analysis By Organization Size, 2019-2023
9.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Organization Size, 2024-2032
- 9.3.1. Large Enterprises
- 9.3.2. Small and Medium-Sized Enterprises
9.4. Market Attractiveness Analysis By Organization Size

10. Global In-Memory Computing Market Analysis 2019-2023 and Forecast 2024-2032,By Deployment Mode

10.1. Introduction / Key Findings
10.2. Historical Market Value (US$ Mn) and AnalysisBy Deployment Mode, 2019-2023
10.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Deployment Mode, 2024-2032
- 10.3.1. Cloud
- 10.3.2. On-premises
10.4. Market Attractiveness AnalysisBy Deployment Mode

11. Global In-Memory Computing Market Analysis 2019-2023 and Forecast 2024-2032, By Vertical

11.1. Introduction / Key Findings
11.2. Historical Market Value (US$ Mn) and Analysis By Vertical, 2019-2023
11.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Vertical, 2024-2032
- 11.3.1. Banking Finance Services and Insurance (BFSI)
- 11.3.2. IT and Telecom
- 11.3.3. Media and Entertainment
- 11.3.4. Healthcare and Life Sciences
- 11.3.5. Retail and E-Commerce
- 11.3.6. Transportation and Logistics
- 11.3.7. Government and Defence
- 11.3.8. Energy and Utilities
- 11.3.9. Others (Education, Manufacturing, and Travel And Hospitality)
11.4. Market Attractiveness Analysis By Vertical

12. Global In-Memory Computing Market Analysis 2019-2023 and Forecast 2024-2032, By Application

12.1. Introduction / Key Findings
12.2. Historical Market Value (US$ Mn) and Analysis By Application, 2019-2023
12.3. Current and Future Market Value (US$ Mn) and Analysis and Forecast By Application, 2024-2032
- 12.3.1. Risk Management and Fraud Detection
- 12.3.2. Sentiment Analysis
- 12.3.3. Geospatial/GIS Processing
- 12.3.4. Sales and Marketing Optimization
- 12.3.5. Predictive Analysis
- 12.3.6. Supply Chain Management
- 12.3.7. Others (Image Processing, Route Optimization, Claim Processing and Modelling, and Trade Promotion Simulations)
12.4. Market Attractiveness Analysis By Application

13. Global In-Memory Computing Market Analysis 2019-2023 and Forecast 2024-2032, By Region

13.1. Introduction
13.2. Historical Market Value (US$ Mn) and Analysis By Region, 2019-2023
13.3. Current Market Size (US$ Mn) & Analysis and Forecast By Region, 2024-2032
- 13.3.1. North America
- 13.3.2. Latin America
- 13.3.3. Europe
- 13.3.4. Asia Pacific
- 13.3.5. Middle East and Africa (MEA)
13.4. Market Attractiveness Analysis By Region

14. North America In-Memory Computing Market Analysis 2019-2023 and Forecast 2024-2032

14.1. Introduction
14.2. Pricing Analysis
14.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2019-2023
14.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2032
- 14.4.1. By Country
  - 14.4.1.1. U.S.
  - 14.4.1.2. Canada
- 14.4.2. By Deployment Mode
- 14.4.3. By Component
- 14.4.4. By Organization Size
- 14.4.5. By Vertical
- 14.4.6. By Application
14.5. Market Attractiveness Analysis
- 14.5.1. By Country
- 14.5.2. By Deployment Mode
- 14.5.3. By Component
- 14.5.4. By Organization Size
- 14.5.5. By Vertical
- 14.5.6. By Application

15. Latin America In-Memory Computing Market Analysis 2019-2023 and Forecast 2024-2032

15.1. Introduction
15.2. Pricing Analysis
15.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2019-2023
15.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2032
- 15.4.1. By Country
  - 15.4.1.1. Brazil
  - 15.4.1.2. Mexico
  - 15.4.1.3. Rest of Latin America
- 15.4.2. By Deployment Mode
- 15.4.3. By Component
- 15.4.4. By Organization Size
- 15.4.5. By Vertical
- 15.4.6. By Application
15.5. Market Attractiveness Analysis
- 15.5.1. By Country
- 15.5.2. By Deployment Mode
- 15.5.3. By Component
- 15.5.4. By Organization Size
- 15.5.5. By Vertical
- 15.5.6. By Application

16. Europe In-Memory Computing Market Analysis 2019-2023 and Forecast 2024-2032

16.1. Introduction
16.2. Pricing Analysis
16.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2019-2023
16.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2032
- 16.4.1. By Country
  - 16.4.1.1. Germany
  - 16.4.1.2. France
  - 16.4.1.3. U.K.
  - 16.4.1.4. Italy
  - 16.4.1.5. Russia
  - 16.4.1.6. Rest of Europe
- 16.4.2. By Deployment Mode
- 16.4.3. By Component
- 16.4.4. By Organization Size
- 16.4.5. By Vertical
- 16.4.6. By Application
16.5. Market Attractiveness Analysis
- 16.5.1. By Country
- 16.5.2. By Deployment Mode
- 16.5.3. By Component
- 16.5.4. By Organization Size
- 16.5.5. By Vertical
- 16.5.6. By Application

17. Asia Pacific In-Memory Computing Market Analysis 2019-2023 and Forecast 2024-2032

17.1. Introduction
17.2. Pricing Analysis
17.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2019-2023
17.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2032
- 17.4.1. By Country
  - 17.4.1.1. China
  - 17.4.1.2. Japan
  - 17.4.1.3. South Korea
  - 17.4.1.4. Rest of Asia Pacific
- 17.4.2. By Deployment Mode
- 17.4.3. By Component
- 17.4.4. By Organization Size
- 17.4.5. By Vertical
- 17.4.6. By Application
17.5. Market Attractiveness Analysis
- 17.5.1. By Country
- 17.5.2. By Deployment Mode
- 17.5.3. By Component
- 17.5.4. By Organization Size
- 17.5.5. By Vertical
- 17.5.6. By Application

18. Middle East and Africa In-Memory Computing Market Analysis 2019-2023 and Forecast 2024-2032

18.1. Introduction
18.2. Pricing Analysis
18.3. Historical Market Value (US$ Mn) and Trend Analysis By Market Taxonomy, 2019-2023
18.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2032
- 18.4.1. By Country
  - 18.4.1.1. GCC Countries
  - 18.4.1.2. South Africa
  - 18.4.1.3. Turkey
  - 18.4.1.4. Rest of Middle East and Africa
- 18.4.2. By Deployment Mode
- 18.4.3. By Component
- 18.4.4. By Organization Size
- 18.4.5. By Vertical
- 18.4.6. By Application
18.5. Market Attractiveness Analysis
- 18.5.1. By Country
- 18.5.2. By Deployment Mode
- 18.5.3. By Component
- 18.5.4. By Organization Size
- 18.5.5. By Vertical
- 18.5.6. By Application

19. Key Countries In-Memory Computing Market Analysis 2019-2023 and Forecast 2024-2032

19.1. Introduction
- 19.1.1. Market Value Proportion Analysis, By Key Countries
- 19.1.2. Global Vs. Country Growth Comparison
19.2. US In-Memory Computing Market Analysis
- 19.2.1. Value Proportion Analysis by Market Taxonomy
- 19.2.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.2.2.1. By Deployment Mode
  - 19.2.2.2. By Component
  - 19.2.2.3. By Organization Size
  - 19.2.2.4. By Vertical
  - 19.2.2.5. By Application
19.3. Canada In-Memory Computing Market Analysis
- 19.3.1. Value Proportion Analysis by Market Taxonomy
- 19.3.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.3.2.1. By Deployment Mode
  - 19.3.2.2. By Component
  - 19.3.2.3. By Organization Size
  - 19.3.2.4. By Vertical
  - 19.3.2.5. By Application
19.4. Mexico In-Memory Computing Market Analysis
- 19.4.1. Value Proportion Analysis by Market Taxonomy
- 19.4.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.4.2.1. By Deployment Mode
  - 19.4.2.2. By Component
  - 19.4.2.3. By Organization Size
  - 19.4.2.4. By Vertical
  - 19.4.2.5. By Application
19.5. Brazil In-Memory Computing Market Analysis
- 19.5.1. Value Proportion Analysis by Market Taxonomy
- 19.5.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.5.2.1. By Deployment Mode
  - 19.5.2.2. By Component
  - 19.5.2.3. By Organization Size
  - 19.5.2.4. By Vertical
  - 19.5.2.5. By Application
19.6. Germany In-Memory Computing Market Analysis
- 19.6.1. Value Proportion Analysis by Market Taxonomy
- 19.6.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.6.2.1. By Deployment Mode
  - 19.6.2.2. By Component
  - 19.6.2.3. By Organization Size
  - 19.6.2.4. By Vertical
  - 19.6.2.5. By Application
19.7. France In-Memory Computing Market Analysis
- 19.7.1. Value Proportion Analysis by Market Taxonomy
- 19.7.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.7.2.1. By Deployment Mode
  - 19.7.2.2. By Component
  - 19.7.2.3. By Organization Size
  - 19.7.2.4. By Vertical
  - 19.7.2.5. By Application
19.8. Italy In-Memory Computing Market Analysis
- 19.8.1. Value Proportion Analysis by Market Taxonomy
- 19.8.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.8.2.1. By Deployment Mode
  - 19.8.2.2. By Component
  - 19.8.2.3. By Organization Size
  - 19.8.2.4. By Vertical
  - 19.8.2.5. By Application
19.9. Russia In-Memory Computing Market Analysis
- 19.9.1. Value Proportion Analysis by Market Taxonomy
- 19.9.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.9.2.1. By Deployment Mode
  - 19.9.2.2. By Component
  - 19.9.2.3. By Organization Size
  - 19.9.2.4. By Vertical
  - 19.9.2.5. By Application
19.10. UK In-Memory Computing Market Analysis
- 19.10.1. Value Proportion Analysis by Market Taxonomy
- 19.10.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.10.2.1. By Deployment Mode
  - 19.10.2.2. By Component
  - 19.10.2.3. By Organization Size
  - 19.10.2.4. By Vertical
  - 19.10.2.5. By Application
19.11. China In-Memory Computing Market Analysis
- 19.11.1. Value Proportion Analysis by Market Taxonomy
- 19.11.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.11.2.1. By Deployment Mode
  - 19.11.2.2. By Component
  - 19.11.2.3. By Organization Size
  - 19.11.2.4. By Vertical
  - 19.11.2.5. By Application
19.12. Japan In-Memory Computing Market Analysis
- 19.12.1. Value Proportion Analysis by Market Taxonomy
- 19.12.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.12.2.1. By Deployment Mode
  - 19.12.2.2. By Component
  - 19.12.2.3. By Organization Size
  - 19.12.2.4. By Vertical
  - 19.12.2.5. By Application
19.13. South Korea In-Memory Computing Market Analysis
- 19.13.1. Value Proportion Analysis by Market Taxonomy
- 19.13.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.13.2.1. By Deployment Mode
  - 19.13.2.2. By Component
  - 19.13.2.3. By Organization Size
  - 19.13.2.4. By Vertical
  - 19.13.2.5. By Application
19.14. GCC Countries In-Memory Computing Market Analysis
- 19.14.1. Value Proportion Analysis by Market Taxonomy
- 19.14.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.14.2.1. By Deployment Mode
  - 19.14.2.2. By Component
  - 19.14.2.3. By Organization Size
  - 19.14.2.4. By Vertical
  - 19.14.2.5. By Application
19.15. South Africa In-Memory Computing Market Analysis
- 19.15.1. Value Proportion Analysis by Market Taxonomy
- 19.15.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.15.2.1. By Deployment Mode
  - 19.15.2.2. By Component
  - 19.15.2.3. By Organization Size
  - 19.15.2.4. By Vertical
  - 19.15.2.5. By Application
19.16. Turkey In-Memory Computing Market Analysis
- 19.16.1. Value Proportion Analysis by Market Taxonomy
- 19.16.2. Value & Analysis and Forecast by Market Taxonomy, 2024-2032
  - 19.16.2.1. By Deployment Mode
  - 19.16.2.2. By Component
  - 19.16.2.3. By Organization Size
  - 19.16.2.4. By Vertical
  - 19.16.2.5. By Application
- 19.16.3. Competition Landscape and Player Concentration in the Country

20. Market Structure Analysis

20.1. Market Analysis by Tier of Companies
20.2. Market Concentration
20.3. Market Share Analysis of Top Players
20.4. Market Presence Analysis
- 20.4.1. By Regional footprint of Players
- 20.4.2. Product footprint by Players

21. Competition Analysis

21.1. Competition Dashboard
21.2. Competition Benchmarking
21.3. Competition Deep Dive
- 21.3.1. IBM
  - 21.3.1.1. Overview
  - 21.3.1.2. Product Portfolio
  - 21.3.1.3. Sales Footprint
  - 21.3.1.4. Strategy Overview
- 21.3.2. SAP
  - 21.3.2.1. Overview
  - 21.3.2.2. Product Portfolio
  - 21.3.2.3. Sales Footprint
  - 21.3.2.4. Strategy Overview
- 21.3.3. ORACLE
  - 21.3.3.1. Overview
  - 21.3.3.2. Product Portfolio
  - 21.3.3.3. Sales Footprint
  - 21.3.3.4. Strategy Overview
- 21.3.4. SAS INSTITUTE
  - 21.3.4.1. Overview
  - 21.3.4.2. Product Portfolio
  - 21.3.4.3. Sales Footprint
  - 21.3.4.4. Strategy Overview
- 21.3.5. MICROSOFT
  - 21.3.5.1. Overview
  - 21.3.5.2. Product Portfolio
  - 21.3.5.3. Sales Footprint
  - 21.3.5.4. Strategy Overview
- 21.3.6. TIBCO
  - 21.3.6.1. Overview
  - 21.3.6.2. Product Portfolio
  - 21.3.6.3. Sales Footprint
  - 21.3.6.4. Strategy Overview
- 21.3.7. ALTIBASE
  - 21.3.7.1. Overview
  - 21.3.7.2. Product Portfolio
  - 21.3.7.3. Sales Footprint
  - 21.3.7.4. Strategy Overview
- 21.3.8. GIGASPACES
  - 21.3.8.1. Overview
  - 21.3.8.2. Product Portfolio
  - 21.3.8.3. Sales Footprint
  - 21.3.8.4. Strategy Overview
- 21.3.9. SOFTWARE AG
  - 21.3.9.1. Overview
  - 21.3.9.2. Product Portfolio
  - 21.3.9.3. Sales Footprint
  - 21.3.9.4. Strategy Overview
- 21.3.10. INTEL
  - 21.3.10.1. Overview
  - 21.3.10.2. Product Portfolio
  - 21.3.10.3. Sales Footprint
  - 21.3.10.4. Strategy Overview
- 21.3.11. SALESFORCE
  - 21.3.11.1. Overview
  - 21.3.11.2. Product Portfolio
  - 21.3.11.3. Sales Footprint
  - 21.3.11.4. Strategy Overview
- 21.3.12. WORKDAY
  - 21.3.12.1. Overview
  - 21.3.12.2. Product Portfolio
  - 21.3.12.3. Sales Footprint
  - 21.3.12.4. Strategy Overview
- 21.3.13. FUJITSU
  - 21.3.13.1. Overview
  - 21.3.13.2. Product Portfolio
  - 21.3.13.3. Sales Footprint
  - 21.3.13.4. Strategy Overview
- 21.3.14. QLIK
  - 21.3.14.1. Overview
  - 21.3.14.2. Product Portfolio
  - 21.3.14.3. Sales Footprint
  - 21.3.14.4. Strategy Overview