Global In-Memory Database Marke

  • Report Code : 249742
  • Industry : Telecom and IT
  • Published On : Dec 2018
  • Pages : 133
  • Publisher : Verified Market Intelligence
  • Format: CMI Insight PPT FormatCMI Insight PDF Format

Impact Analysis of Covid-19

The complete version of the Report will include the impact of the COVID-19, and anticipated change on the future outlook of the industry, by taking into the account the political, economic, social, and technological parameters.

The Global In-Memory Database Market was valued at USD 2.95 billion in 2016 and is projected to reach USD 14.83 billion by 2025, growing at a CAGR of 19.65% from 2017 to 2025.

An in-memory database (IMDB) is a database whose data is stored in main memory to facilitate faster execution. In-memory databases are designed to attain minimal response time, as well as extremely high throughput for performance critical systems. IMDB technology is capable of supporting application-tier deployment, real-time data management and most ACID properties. Benefits of IMDB include â€" faster transactions, high stability, multi-user concurrency, no translation, big data management, real-time updates, and reduces IT costs.

Sample Infographics:




Market Dynamics:
1. Market Drivers
1.1 Growing need for real-time processing
1.2 Reducing RAM prices
1.3 Rising demand for faster data processing
1.4 Required exceptional performance for non-embedded applications
1.5 Advancements in hybrid transactional and analytical processing
1.6 Rapid data generation from various data sources
2. Market Restraints
2.1 Volatile nature of memory
2.2 Concerns for data security
2.3 Poor standards and regulations
2.4 Issues related to memory space

Market Segmentation:
The Global In-Memory Database Market is segmented on the organization size, data type, deployment model, application, processing type, vertical, and region.

1. Organization Size:
1.1 Large Enterprises
1.2 Small and Medium Organizations
2. Data Type:
2.1 Relational
2.2 NoSQL
2.3 NewSQL

3. By Deployment Mode:
3.1 On-demand
3.2 On-premises

4. By Application:
4.1 Analytics
4.2 Transaction
4.3 Reporting
4.4 Others

5. By Processing Type:
5.1 Online Transaction Processing (OLTP)
5.2 Online Analytical Processing (OLAP)

6. By Vertical:
6.1 Healthcare
6.2 Government and Defense
6.3 IT and Telecom
6.4 Banking, Financial Services, and Insurance (BFSI)
6.5 Transportation and Logistics
6.6 Retail and Consumer Goods
6.7 Manufacturing
6.8 Others

7. By Region:
7.1 North America (U.S., Canada, Mexico)
7.2 Europe (Germany, UK, France, Rest of Europe)
7.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
7.4 Latin America (Brazil, Argentina, Rest of Latin America)
7.5 Middle East & Africa

Competitive Landscape:
The major players in the market are as follows:
1. IBM Corporation
2. SAP
3. Teradata Corporation
4. Microsoft Corporation
5. Amazon Web Services
6. Pointillist
7. Oracle Corporation
8. Quadient
9. Mcobject LLC
10. Kitewheel
11. Datastax
12. Tableau Software
13. Kognitio Ltd.
14. Enea Ab

These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE:
Research study on the Global In-Memory Database Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.

To know more about the Research Methodology of Verified Market Intelligence and other aspects of the research study, kindly get in touch with our sales team

INTRODUCTION OF GLOBAL IN-MEMORY DATABASE MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL IN-MEMORY DATABASE MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework

5 GLOBAL IN-MEMORY DATABASE MARKET , BY ORGANIZATION SIZE
5.1 Overview
5.2 Large Enterprises
5.3 Small and Medium Organizations

6 GLOBAL IN-MEMORY DATABASE MARKET , BY DATA TYPE
6.1 Overview
6.2 Relational
6.3 NoSQL
6.4 NewSQL

7 GLOBAL IN-MEMORY DATABASE MARKET , BY DEPLOYMENT MODE
7.1 Overview
7.2 On-demand
7.3 On-premises

8 GLOBAL IN-MEMORY DATABASE MARKET , BY APPLICATION
8.1 Overview
8.2 Analytics
8.3 Transaction
8.4 Reporting
8.5 Others

9 GLOBAL IN-MEMORY DATABASE MARKET , BY PROCESSING TYPE
9.1 Overview
9.2 Online Transaction Processing (OLTP)
9.3 Online Analytical Processing (OLAP)

10 GLOBAL IN-MEMORY DATABASE MARKET , BY VERTICAL
10.1 Overview
10.2 Healthcare
10.3 Government and Defense
10.4 IT and Telecom
10.5 Banking, Financial Services, and Insurance (BFSI)
10.6 Transportation and Logistics
10.7 Retail and Consumer Goods
10.8 Manufacturing
10.9 Others

11 GLOBAL IN-MEMORY DATABASE MARKET , BY GEOGRAPHY
11.1 Overview
11.2 North America Regional Market Estimates and Forecasts, 2012 - 2025
11.2.1 U.S.
11.2.2 Canada
11.2.3 Mexico
11.3 Europe Regional Market Estimates and Forecasts, 2012 - 2025
11.3.1 Germany
11.3.2 U.K.
11.3.3 France
11.3.4 Rest of Europe
11.4 Asia Pacific Regional Market Estimates and Forecasts, 2012 - 2025
11.4.1 China
11.4.2 Japan
11.4.3 India
11.4.4 Rest of Asia Pacific
11.5 Latin America Regional Market Estimates and Forecasts, 2012 - 2025
11.5.1 Brazil
11.5.2 Argentina
11.6 Rest of the World Regional Market Estimates and Forecasts, 2012 â€" 2025

12 GLOBAL IN-MEMORY DATABASE MARKET COMPETITIVE LANDSCAPE
12.1 Overview
12.2 Company Market Share
12.3 Vendor Landscape
12.4 Key Development Strategies

13 COMPANY PROFILES
13.1 IBM Corporation
13.1.1 Overview
13.1.2 Financial Performance
13.1.3 Product Outlook
13.1.4 Key Developments

13.2 SAP
13.2.1 Overview
13.2.2 Financial Performance
13.2.3 Product Outlook
13.2.4 Key Developments

13.3 Teradata Corporation
13.3.1 Overview
13.3.2 Financial Performance
13.3.3 Product Outlook
13.3.4 Key Developments

13.4 Microsoft Corporation
13.4.1 Overview
13.4.2 Financial Performance
13.4.3 Product Outlook
13.4.4 Key Developments

13.5 Amazon Web Services
13.5.1 Overview
13.5.2 Financial Performance
13.5.3 Product Outlook
13.5.4 Key Developments

13.6 Pointillist
13.6.1 Overview
13.6.2 Financial Performance
13.6.3 Product Outlook
13.6.4 Key Developments

13.7 Oracle Corporation
13.7.1 Overview
13.7.2 Financial Performance
13.7.3 Product Outlook
13.7.4 Key Developments

13.8 Quadient
13.8.1 Overview
13.8.2 Financial Performance
13.8.3 Product Outlook
13.8.4 Key Developments

13.9 Mcobject LLC
13.9.1 Overview
13.9.2 Financial Performance
13.9.3 Product Outlook
13.9.4 Key Developments

13.10 Kitewheel
13.10.1 Overview
13.10.2 Financial Performance
13.10.3 Product Outlook
13.10.4 Key Developments

13.11 Datastax
13.11.1 Overview
13.11.2 Financial Performance
13.11.3 Product Outlook
13.11.4 Key Developments

13.12 Tableau Software
13.12.1 Overview
13.12.2 Financial Performance
13.12.3 Product Outlook
13.12.4 Key Developments

13.13 Kognitio Ltd.
13.13.1 Overview
13.13.2 Financial Performance
13.13.3 Product Outlook
13.13.4 Key Developments

13.14 Enea Ab
13.14.1 Overview
13.14.2 Financial Performance
13.14.3 Product Outlook
13.14.4 Key Developments

14 Appendix
14.1 Related Reports

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