In-Memory Analytics Market by Component (Solution and Services), Deployment Model (On-Premise and Cloud), Organization Size (Large Enterprises and Small & Medium Enterprises), Application (Fraud and Security Management, Sales and Marketing Management, Predictive Asset Maintenance, Risk and Compliance Management, Supply Chain Management and Operations and Others), and Industry Vertical (BFSI, IT & Telecom, Retail, Healthcare, Energy & Utilities, Manufacturing, Government & Defense, and Others): Global Opportunity Analysis and Industry Forecast, 2019–2026

February 2020 | 242 pages | ID: I06B02492544EN
Allied Market Research

Abstracts

In-memory analytics is a business intelligence toolused to solve complex and time-sensitive business scenarios. In addition, in-memory analytics improves the speed of BI systems and provides users with a faster and reliable query processing system as compared to the traditional system. Furthermore, it has emerged as an affordable solution, which helps organizations to integrate the information and present a holistic view in front of their customers. In addition, in-memory analytics helps organizations to optimize their operational process cycle time, labor utilization, and equipment maintenance cost as well as reduce defect rates. This is a major factor expected to drive the adoption of in-memory analytics among the various industry vertical across the globe which, in turn, is expected to propel the growth of the global market.

Digital transformation using real-time analytics and growing volume of data are the major factors the drive the growth of the market. In addition, rise in trends for self-service BI tools and technological advancement in computing power fuels the growth of the market. However, lack of awareness among various industry verticals is expected to impede the market growth. Furthermore, improved scalability and security with cloud-based in-memory analytics and higher adoption by the small and medium enterprises (SMEs) are expected to present major opportunities for the expansion of the market in future.

The global in-memory analytics market is segmented on the basis of component, deployment mode, organization size, application, industry vertical, and region. In terms of component, it is bifurcated into solution and services. In terms of deployment mode, the market is divided into on-premise and cloud. As per organization size, it is classified into large enterprises and small & medium enterprises. In terms of application, the market is classified into fraud &security management, sales &marketing management, predictive asset maintenance, risk &compliance management, supply chain management &operations, and others. Based on industry vertical, it is classified into BFSI, IT & telecom, retail, healthcare, energy & utilities, manufacturing, government & defense, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The report analyzes the profiles of key players operating in the market. These include Amazon Web Services, Inc., SAP SE, Oracle Corporation, SAS Institute Inc., International Business Corporation, Hitachi, Ltd., Software AG, MicroStrategy Incorporated, Qlik Technologies, and Kognito Ltd.These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.

Key benefits for stakeholders

• The study provides an in-depth analysis of the global in-memory analytics market along with the current & future trends to elucidate the imminent investment pockets.
• Information about key drivers, restrains, and opportunities and their impact analysis on the market size is provided in the report.
• Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
• The quantitative analysis of the global in-memory analytics market from 2019 to 2026 is provided to determine the market potential.

Key market segments

By Component

• Solution
• Service

By Deployment Model

• On-Premise
• Cloud

By Organization Size

• Large Enterprises
• Small & Medium Enterprises

By Application

• Fraud &Security Management
• Sales & Marketing Management
• Predictive Asset Maintenance
• Risk &Compliance Management
• Supply Chain Management &Operations
• Others

By Industry vertical

• BFSI
• IT & Telecom
• Retail and Ecommerce
• Healthcare and Life Sciences
• Government and Defense
• Manufacturing
• Media and Entertainment
• Others

By Region

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Italy
• Rest of Europe
• Asia-Pacific
• China
• India
• Japan
• Australia
• Rest of Asia-Pacific
• LAMEA
• Latin America
• Middle East
• Africa

KEY MARKET PLAYERS

• Amazon Web Services, Inc.
• SAP SE
• Oracle Corporation
• SAS Institute Inc.
• International Business Corporation
• Hitachi Ltd.
• Software AG
• MicroStrategy Incorporated
• Qlik Technologies
• Kognito Ltd.

Contents

CHAPTER 1: INTRODUCTION

1.1. Report description
1.2. Key benefits for stakeholders
1.3. Research methodology
  1.3.1. Secondary research
  1.3.2. Primary research
  1.3.3. Analyst tools & models

CHAPTER 2: EXECUTIVE SUMMARY

2.1. Key findings
  2.1.1. Top impacting factors
  2.1.2. Top investment pockets
2.2. CXO perspective

CHAPTER 3: MARKET OVERVIEW

3.1. Market definition and scope
3.2. Key forces shaping global environmental monitoring market
3.3. Case Studies
  3.3.1. Finastra has adopted GridGain in-memory computing platform for enabling high-performance real-time data processing.
  3.3.2. CBE Group has adopted SAS Institute for managing large data set with the use of in-memory analytics.
3.4. Market dynamics
  3.4.1. Drivers
    3.4.1.1. Digital Transformation Using Real-Time Data Analytics
    3.4.1.2. Growing Volume of Data
    3.4.1.3. Growing Trend for Self-Service BI Tools
  3.4.2. Restraint
    3.4.2.1. Lack of Awareness Across Industries
  3.4.3. Opportunity
    3.4.3.1. Improved Scalability and Security with Cloud-Based In-Memory Analytics
    3.4.3.2. Higher Adoption by SME’s

CHAPTER 4: GLOBAL IN-MEMORY ANALYTICS MARKET, BY COMPONENT

4.1. Overview
4.2. Solutions
  4.2.1. Key market trends, growth factors and opportunities
  4.2.2. Market size and forecast, by region
  4.2.3. Market analysis by country
4.3. Services
  4.3.1. Key market trends, growth factors and opportunities
  4.3.2. Market size and forecast, by region
  4.3.3. Market analysis by country

CHAPTER 5: GLOBAL IN-MEMORY ANALYTICS MARKET, BY DEPLOYMENT MODE

5.1. Overview
5.2. On-premise
  5.2.1. Key market trends, growth factors and opportunities
  5.2.2. Market size and forecast, by region
  5.2.3. Market analysis by country
5.3. Cloud-Based
  5.3.1. Key market trends, growth factors and opportunities
  5.3.2. Market size and forecast, by region
  5.3.3. Market analysis by country

CHAPTER 6: IN-MEMORY ANALYTICS MARKET, BY ORGANIZATION SIZE

6.1. Overview
6.2. Large Enterprises
  6.2.1. Key market trends, growth factors and opportunities
  6.2.2. Market size and forecast, by region
  6.2.3. Market analysis by country
6.3. Small and medium Enterprises (SME’s)
  6.3.1. Key market trends, growth factors and opportunities
  6.3.2. Market size and forecast, by region
  6.3.3. Market analysis by country

CHAPTER 7: GLOBAL IN-MEMORY ANALYTICS MARKET, BY APPLICATION

7.1. Overview
7.2. Fraud & Security Management
  7.2.1. Key market trends, growth factors, and opportunities
  7.2.2. Market size and forecast, by region
  7.2.3. Market analysis by country
7.3. Sales and Marketing Optimization
  7.3.1. Key market trends, growth factors, and opportunities
  7.3.2. Market size and forecast, by region
  7.3.3. Market analysis by country
7.4. Predictive Asset Management
  7.4.1. Key market trends, growth factors, and opportunities
  7.4.2. Market size and forecast, by region
  7.4.3. Market analysis by country
7.5. Risk & compliance management
  7.5.1. Key market trends, growth factors, and opportunities
  7.5.2. Market size and forecast, by region
  7.5.3. Market analysis by country
7.6. Supply chain optimization
  7.6.1. Key market trends, growth factors, and opportunities
  7.6.2. Market size and forecast, by region
  7.6.3. Market analysis by country
7.7. Other
  7.7.1. Key market trends, growth factors, and opportunities
  7.7.2. Market size and forecast, by region
  7.7.3. Market analysis by country

CHAPTER 8: GLOBAL IN-MEMORY ANALYTICS MARKET, BY INDUSTRY VERTICAL

8.1. Overview
8.2. IT & TELECOM
  8.2.1. Key market trends, growth factors and opportunities
  8.2.2. Market size and forecast, by region
  8.2.3. Market analysis by country
8.3. BFSI
  8.3.1. Key market trends, growth factors, and opportunities
  8.3.2. Market size and forecast, by region
  8.3.3. Market analysis by country
8.5. Retail and E-commerce
  8.5.1. Key market trends, growth factors and opportunities
  8.5.2. Market size and forecast, by region
  8.5.3. Market analysis by country
8.6. Healthcare and Life Science
  8.6.1. Key market trends, growth factors and opportunities
  8.6.2. Market size and forecast, by region
  8.6.3. Market analysis by country
8.7. Government & Defense Sector
  8.7.1. Key market trends, growth factors and opportunities
  8.7.2. Market size and forecast, by region
  8.7.3. Market analysis by country
8.8. Manufacturing
  8.8.1. Key market trends, growth factors and opportunities
  8.8.2. Market size and forecast, by region
  8.8.3. Market analysis by country
8.9. Media and entertainment
  8.9.1. Key market trends, growth factors and opportunities
  8.9.2. Market size and forecast, by region
  8.9.3. Market analysis by country
8.10. Others
  8.10.1. Key market trends, growth factors and opportunities
  8.10.2. Market size and forecast, by region
  8.10.3. Market analysis by country

CHAPTER 9: GLOBAL IN-MEMORY ANALYTICS MARKET, BY REGION

9.1. Overview
  9.1.1. Market size and forecast, by region
9.2. North America
  9.2.1. Key market trends, growth factors and opportunities
  9.2.2. Market size and forecast, by component
  9.2.3. Market size and forecast, by deployment mode
  9.2.4. Market size and forecast, by organization size
  9.2.5. Market size and forecast, by application
  9.2.6. Market size and forecast, by industry vertical
  9.2.7. Market analysis by Country
    9.2.7.1. U.S.
      9.2.7.1.1. Market size and forecast, by component
      9.2.7.1.2. Market size and forecast, by deployment mode
      9.2.7.1.3. Market size and forecast, by organization size
  9.2.8. Market size and forecast, by application
      9.2.8.1.1. Market size and forecast, by industry vertical
    9.2.8.2. CANADA
      9.2.8.2.1. Market size and forecast, by component
      9.2.8.2.2. Market size and forecast, by deployment mode
      9.2.8.2.3. Market size and forecast, by organization size
  9.2.9. Market size and forecast, by application
      9.2.9.1.1. Market size and forecast, by industry vertical
9.3. Europe
  9.3.1. Key market trends, growth factors and opportunities
  9.3.2. Market size and forecast, by component
  9.3.3. Market size and forecast, by deployment mode
  9.3.4. Market size and forecast, by organization size
  9.3.5. Market size and forecast, by application
  9.3.6. Market size and forecast, by industry vertical
  9.3.7. Market analysis by Country
    9.3.7.1. UK
      9.3.7.1.1. Market size and forecast, by component
      9.3.7.1.2. Market size and forecast, by deployment mode
      9.3.7.1.3. Market size and forecast, by organization size
      9.3.7.1.4. Market size and forecast, by application
      9.3.7.1.5. Market size and forecast, by industry vertical
    9.3.7.2. GERMANY
      9.3.7.2.1. Market size and forecast, by component
      9.3.7.2.2. Market size and forecast, by deployment mode
      9.3.7.2.3. Market size and forecast, by organization size
      9.3.7.2.4. Market size and forecast, by application
      9.3.7.2.5. Market size and forecast, by industry vertical
    9.3.7.3. FRANCE
      9.3.7.3.1. Market size and forecast, by component
      9.3.7.3.2. Market size and forecast, by deployment mode
      9.3.7.3.3. Market size and forecast, by organization size
      9.3.7.3.4. Market size and forecast, by application
      9.3.7.3.5. Market size and forecast, by industry vertical
    9.3.7.4. ITALY
      9.3.7.4.1. Market size and forecast, by component
      9.3.7.4.2. Market size and forecast, by deployment mode
      9.3.7.4.3. Market size and forecast, by organization size
      9.3.7.4.4. Market size and forecast, by application
      9.3.7.4.5. Market size and forecast, by industry vertical
    9.3.7.5. REST OF EUROPE
      9.3.7.5.1. Market size and forecast, by component
      9.3.7.5.2. Market size and forecast, by deployment mode
      9.3.7.5.3. Market size and forecast, by organization size
      9.3.7.5.4. Market size and forecast, by application
      9.3.7.5.5. Market size and forecast, by industry vertical
  9.3.8. Asia-Pacific
  9.3.9. Key market trends, growth factors and opportunities
  9.3.10. Market size and forecast, by component
  9.3.11. Market size and forecast, by deployment mode
  9.3.12. Market size and forecast, by organization size
  9.3.13. Market size and forecast, by application
  9.3.14. Market size and forecast, by industry vertical
  9.3.15. Market analysis by Country
    9.3.15.1. CHINA
      9.3.15.1.1. Market size and forecast, by component
      9.3.15.1.2. Market size and forecast, by deployment mode
      9.3.15.1.3. Market size and forecast, by organization size
      9.3.15.1.4. Market size and forecast, by application
      9.3.15.1.5. Market size and forecast, by industry vertical
    9.3.15.2. JAPAN
      9.3.15.2.1. Market size and forecast, by component
      9.3.15.2.2. Market size and forecast, by deployment mode
      9.3.15.2.3. Market size and forecast, by organization size
      9.3.15.2.4. Market size and forecast, by application
      9.3.15.2.5. Market size and forecast, by industry vertical
    9.3.15.3. INDIA
      9.3.15.3.1. Market size and forecast, by component
      9.3.15.3.2. Market size and forecast, by deployment mode
      9.3.15.3.3. Market size and forecast, by organization size
      9.3.15.3.4. Market size and forecast, by application
      9.3.15.3.5. Market size and forecast, by industry vertical
    9.3.15.4. AUSTRALIA
      9.3.15.4.1. Market size and forecast, by component
      9.3.15.4.2. Market size and forecast, by deployment mode
      9.3.15.4.3. Market size and forecast, by organization size
      9.3.15.4.4. Market size and forecast, by application
      9.3.15.4.5. Market size and forecast, by industry vertical
    9.3.15.5. REST OF AISA-PACIFIC
      9.3.15.5.1. Market size and forecast, by component
      9.3.15.5.2. Market size and forecast, by deployment mode
      9.3.15.5.3. Market size and forecast, by organization size
      9.3.15.5.4. Market size and forecast, by application
      9.3.15.5.5. Market size and forecast, by industry vertical
9.4. LAMEA
  9.4.1. Key market trends, growth factors and opportunities
  9.4.2. Market size and forecast, by component
  9.4.3. Market size and forecast, by deployment mode
  9.4.4. Market size and forecast, by organization size
  9.4.5. Market size and forecast, by application
  9.4.6. Market size and forecast, by industry vertical
  9.4.7. Market analysis by Country
    9.4.7.1. LATIN AMERICA
      9.4.7.1.1. Market size and forecast, by component
      9.4.7.1.2. Market size and forecast, by deployment mode
      9.4.7.1.3. Market size and forecast, by organization size
      9.4.7.1.4. Market size and forecast, by application
      9.4.7.1.5. Market size and forecast, by industry vertical
    9.4.7.2. MIDDLE EAST
      9.4.7.2.1. Market size and forecast, by component
      9.4.7.2.2. Market size and forecast, by deployment mode
      9.4.7.2.3. Market size and forecast, by organization size
      9.4.7.2.4. Market size and forecast, by application
      9.4.7.2.5. Market size and forecast, by industry vertical
    9.4.7.3. AFRICA
      9.4.7.3.1. Market size and forecast, by component
      9.4.7.3.2. Market size and forecast, by deployment mode
      9.4.7.3.3. Market size and forecast, by organization size
      9.4.7.3.4. Market size and forecast, by application
      9.4.7.3.5. Market size and forecast, by industry vertical

CHAPTER 10: COMPETITIVE LANDSCAPE

10.1. Market player positioning, 2018
  10.1.1. Top winning strategies
10.2. Industry Roadmap
10.3. Competitive dashboard
10.4. Key Developments
  10.4.1. New product launches
  10.4.2. Partnership
  10.4.3. Collaboration
  10.4.4. Agreement
  10.4.5. Product development

CHAPTER 11: COMPANY PROFILE

11.1. Amazon Web Services, Inc.
  11.1.1. Company overview
  11.1.2. Key Executives
  11.1.3. Company snapshot
  11.1.4. Operating business segments
  11.1.5. Product portfolio
  11.1.6. Business performance
  11.1.7. Key strategic moves and developments
11.2. Hitachi, Ltd.
  11.2.1. Company overview
  11.2.2. Key Executives
  11.2.3. Company snapshot
  11.2.4. Operating business segments
  11.2.5. Product portfolio
  11.2.6. R&D Expenditure
  11.2.7. Business performance
  11.2.8. Key strategic moves and developments
11.3. International Business Machines Corporation
  11.3.1. Company overview
  11.3.2. Key Executives
  11.3.3. Company snapshot
  11.3.4. Operating business segments
  11.3.5. Product portfolio
  11.3.6. R&D Expenditure
  11.3.7. Business performance
  11.3.8. Key strategic moves and developments
11.4. Kognitio Ltd.
  11.4.1. Company overview
  11.4.2. Key Executives
  11.4.3. Company snapshot
  11.4.4. Product portfolio
11.5. MicroStrategy Incorporated
  11.5.1. Company overview
  11.5.2. Key Executives
  11.5.3. Company snapshot
  11.5.4. Product portfolio
  11.5.5. R&D Expenditure
  11.5.6. Business performance
  11.5.7. Key strategic moves and developments
11.6. Oracle Corporation
  11.6.1. Company overview
  11.6.2. Key Executives
  11.6.3. Company snapshot
  11.6.4. Operating business segments
  11.6.5. Product portfolio
  11.6.6. R&D Expenditure
  11.6.7. Business performance
  11.6.8. Key strategic moves and developments
11.7. Qlik Technologies
  11.7.1. Company overview
  11.7.2. Key Executives
  11.7.3. Company snapshot
  11.7.4. Product portfolio
  11.7.5. Key strategic moves and developments
11.8. SAP SE
  11.8.1. Company overview
  11.8.2. Key Executives
  11.8.3. Company snapshot
  11.8.4. Operating business segments
  11.8.5. Product portfolio
  11.8.6. R&D Expenditure
  11.8.7. Business performance
  11.8.8. Key strategic moves and developments
11.9. SAS Institute Inc.
  11.9.1. Company overview
  11.9.2. Key Executives
  11.9.3. Company snapshot
  11.9.4. Product portfolio
  11.9.5. Business performance
  11.9.6. Key strategic moves and developments
11.10. Software AG
  11.10.1. Company overview
  11.10.2. Key Executives
  11.10.3. Company snapshot
  11.10.4. Operating business segments
  11.10.5. Product portfolio
  11.10.6. R&D Expenditure
  11.10.7. Business performance
  11.10.8. Key strategic moves and developments

List Of Tables

LIST OF TABLES

TABLE 01. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($BILLION)
TABLE 02. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE FOR SOLUTION, BY REGION, 2018–2026 ($MILLION)
TABLE 03. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE FOR SERVICES, BY REGION, 2018–2026 ($MILLION)
TABLE 04. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018-2026 ($MILLION)
TABLE 05. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE FOR ON-PREMISE, BY REGION 2018–2026 ($MILLION)
TABLE 06. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE FOR CLOUD-BASED, BY REGION 2018–2026 ($MILLION)
TABLE 07. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2017–2025($MILLION)
TABLE 08. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION, 2018–2026 ($MILLION)
TABLE 09. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE FOR SME’S, BY REGION, 2018–2026($MILLION)
TABLE 10. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 11. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE FOR RISK MANAGEMENT & FRAUD DETECTION, BY REGION, 2017–2025 ($MILLION)
TABLE 12. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE FOR SALES & MARKETING, BY REGION, 2017–2025 ($MILLION)
TABLE 13. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE FOR PREDICTIVE ASSET MANAGEMENT, BY REGION, 2017–2025 ($MILLION)
TABLE 14. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE FOR RISK MANAGEMENT & FRAUD DETECTION, BY REGION, 2017–2025 ($MILLION)
TABLE 15. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE FOR SUPPLY CHAIN OPTIMIZATION, BY REGION, 2017–2025 ($MILLION)
TABLE 16. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE FOR OTHER, BY REGION, 2017–2025 ($MILLION)
TABLE 17. GLOBAL IN-MEMORY ANALYTICS SOFTWARE MARKET REVENUE, BY INDUSTRY VERTICAL, 2018-2026 ($MILLION)
TABLE 18. GLOBAL IN-MEMORY ANALYTICS SOFTWARE MARKET REVENUE FOR IT & TELECOM, BY REGION 2018–2026 ($MILLION)
TABLE 19. GLOBAL IN-MEMORY ANALYTICS SOFTWARE MARKET REVENUE FOR BFSI, BY REGION 2018–2026 ($MILLION)
TABLE 20. GLOBAL IN-MEMORY ANALYTICS SOFTWARE MARKET REVENUE FOR RETAIL, BY REGION 2018–2026 ($MILLION)
TABLE 21. GLOBAL IN-MEMORY ANALYTICS SOFTWARE MARKET REVENUE FOR HEALTHCARE, BY REGION 2018–2026 ($MILLION)
TABLE 22. GLOBAL IN-MEMORY ANALYTICS SOFTWARE MARKET REVENUE FOR GOVERNMENT AND PUBLIC SECTOR, BY REGION 2018–2026 ($MILLION)
TABLE 23. GLOBAL IN-MEMORY ANALYTICS SOFTWARE MARKET REVENUE FOR MANUFACTURING, BY REGION 2018–2026 ($MILLION)
TABLE 24. GLOBAL IN-MEMORY ANALYTICS SOFTWARE MARKET REVENUE FOR MEDIA AND ENTERTAINMENT, BY REGION 2018–2026 ($MILLION)
TABLE 25. GLOBAL IN-MEMORY ANALYTICS SOFTWARE MARKET REVENUE FOR OTHERS, BY REGION 2018–2026 ($MILLION)
TABLE 26. GLOBAL IN-MEMORY ANALYTICS MARKET REVENUE, BY REGION, 2018–2026 ($MILLION)
TABLE 27. NORTH AMERICA IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 28. NORTH AMERICA IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 29. NORTH AMERICA IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 30. NORTH AMERICA IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 31. NORTH AMERICA IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 32. NORTH AMERICA IN-MEMORY ANALYTICS MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 33. U.S. IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 34. U.S. IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 35. U.S. IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 36. U.S. IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 37. U.S. IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 38. CANADA IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 39. CANADA IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 40. CANADA IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 41. CANADA IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 42. CANADA IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 43. EUROPE IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 44. EUROPE IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 45. EUROPE IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 46. EUROPE IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 47. EUROPE IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 48. EUROPE IN-MEMORY ANALYTICS MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 49. UK IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 50. UK IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 51. UK IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 52. UK IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 53. UK IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 54. GERMANY IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 55. GERMANY IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 56. GERMANY IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 57. GERMANY IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 58. GERMANY IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 59. FRANCE IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 60. FRANCE IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 61. FRANCE IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 62. FRANCE IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 63. FRANCE IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 64. ITALY IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 65. ITALY IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 66. ITALY IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 67. ITALY IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 68. ITALY IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 69. REST OF EUROPE IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 70. REST OF EUROPE IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 71. REST OF EUROPE IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 72. REST OF EUROPE IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 73. REST OF EUROPE IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 74. ASIA-PACIFIC IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 75. ASIA-PACIFIC IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 76. ASIA-PACIFIC IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 77. ASIA-PACIFIC IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 78. ASIA-PACIFIC IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 79. ASIA-PACIFIC IN-MEMORY ANALYTICS MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 80. CHINA IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 81. CHINA IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 82. CHINA IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 83. CHINA IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 84. CHINA IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 85. JAPAN IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 86. JAPAN IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 87. JAPAN IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 88. JAPAN IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 89. JAPAN IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 90. INDIA IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 91. INDIA IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 92. INDIA IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 93. INDIA IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 94. INDIA IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 95. AUSTRALIA IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 96. AUSTRALIA IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 97. AUSTRALIA IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 98. AUSTRALIA IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 99. AUSTRALIA IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 100. REST OF AISA-PACIFIC IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 101. REST OF AISA-PACIFIC IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 102. REST OF AISA-PACIFIC IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 103. REST OF AISA-PACIFIC IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 104. REST OF AISA-PACIFIC IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 105. LAMEA IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 106. LAMEA IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 107. LAMEA IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 108. LAMEA IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 109. LAMEA IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 110. LAMEA IN-MEMORY ANALYTICS MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 111. LATIN AMERICA IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 112. LATIN AMERICA IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 113. LATIN AMERICA IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 114. LATIN AMERICA IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 115. LATIN AMERICA IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 116. MIDDLE EAST IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 117. MIDDLE EAST IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 118. MIDDLE EAST IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 119. MIDDLE EAST IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 120. MIDDLE EAST IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 121. AFRICA IN-MEMORY ANALYTICS MARKET REVENUE, BY COMPONENT, 2018–2026 ($MILLION)
TABLE 122. AFRICA IN-MEMORY ANALYTICS MARKET REVENUE, BY DEPLOYMENT MODE, 2018–2026 ($MILLION)
TABLE 123. AFRICA IN-MEMORY ANALYTICS MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 124. AFRICA IN-MEMORY ANALYTICS MARKET REVENUE, BY APPLICATION, 2018–2026 ($MILLION)
TABLE 125. AFRICA IN-MEMORY ANALYTICS MARKET REVENUE, BY INDUSTRY VERTICAL, 2018–2026 ($MILLION)
TABLE 126. KEY NEW PRODUCT LAUNCHES (2016-2019)
TABLE 127. PARTNERSHIP (2016-2019)
TABLE 128. COLLABORATION (2016-2019)
TABLE 129. AGREEMENT (2016-2019)
TABLE 130. PRODUCTDEVELOPMENT (2016-2019)
TABLE 131. AMAZON WEB SERVICES, INC.: KEY EXECUTIVES
TABLE 132. AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
TABLE 133. AMAZON WEB SERVICES, INC.: OPERATING SEGMENTS
TABLE 134. AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO
TABLE 135. HITACHI, LTD.: KEY EXECUTIVES
TABLE 136. HITACHI, LTD.: COMPANY SNAPSHOT
TABLE 137. HITACHI, LTD.: OPERATING SEGMENTS
TABLE 138. HITACHI LTD: PRODUCT PORTFOLIO
TABLE 139. INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 140. INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 141. INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 142. INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 143. KOGNITIO LTD.: KEY EXECUTIVES
TABLE 144. KOGNITIO LTD.: COMPANY SNAPSHOT
TABLE 145. KOGNITIO LTD.: PRODUCT PORTFOLIO
TABLE 146. MICROSTRATEGY INCORPORATED: KEY EXECUTIVES
TABLE 147. MICROSTRATEGY INCORPORATED: COMPANY SNAPSHOT
TABLE 148. MICROSTRATEGY INCORPORATED: PRODUCT PORTFOLIO
TABLE 149. ORACLE CORPORATION: KEY EXECUTIVES
TABLE 150. ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 151. ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 152. ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 153. ORACLE