ASIA PACIFIC ENTERPRISE DATABASE MANAGEMENT SYSTEM (DBMS) MARKET FORECAST 2017-2020
KEY FINDINGS
The Enterprise Database Management Systems market is fast gaining popularity in the multinational market circuit. Many big market players are increasingly generating a significant amount of data. A growing need for storing and archiving this data for the smooth and efficient functioning of the company has been witnessed in recent years. Over the forecast years of 2017-2020, the Asia-Pacific enterprise DBMS market is likely to grow with a CAGR percentage of 9%.
MARKET INSIGHTS
The segmentation of the Asia-Pacific database management system market is done by delivery model, type, and end-users. Countries like India, Japan, and China are significant contributors to this region. The financial sector is a major end-user for this market. Several established, as well as emerging financial industries, are adopting these tools to store their business-related data in the cloud. Also, several initiatives by various governments in this region to digitalize their enterprise programs are also supporting the market’s expansion in this region.
COMPETITIVE INSIGHTS
Some of the prominent players in this market are Cloudera, SAP SE, Oracle, Enterprise DB, Amazon Web Services and International Business Machine (IBM) Corporation. Most of these companies employ cloud-based portals for securing their company information and lower the ownership costs.
The Enterprise Database Management Systems market is fast gaining popularity in the multinational market circuit. Many big market players are increasingly generating a significant amount of data. A growing need for storing and archiving this data for the smooth and efficient functioning of the company has been witnessed in recent years. Over the forecast years of 2017-2020, the Asia-Pacific enterprise DBMS market is likely to grow with a CAGR percentage of 9%.
MARKET INSIGHTS
The segmentation of the Asia-Pacific database management system market is done by delivery model, type, and end-users. Countries like India, Japan, and China are significant contributors to this region. The financial sector is a major end-user for this market. Several established, as well as emerging financial industries, are adopting these tools to store their business-related data in the cloud. Also, several initiatives by various governments in this region to digitalize their enterprise programs are also supporting the market’s expansion in this region.
COMPETITIVE INSIGHTS
Some of the prominent players in this market are Cloudera, SAP SE, Oracle, Enterprise DB, Amazon Web Services and International Business Machine (IBM) Corporation. Most of these companies employ cloud-based portals for securing their company information and lower the ownership costs.
1. RESEARCH SCOPE
1.1. STUDY GOALS
1.2. SCOPE OF THE MARKET STUDY
1.3. WHO WILL FIND THIS REPORT USEFUL?
1.4. STUDY AND FORECASTING YEARS
2. RESEARCH METHODOLOGY
2.1. SOURCES OF DATA
2.1.1. SECONDARY DATA
2.1.2. PRIMARY DATA
2.2. TOP-DOWN APPROACH
2.3. BOTTOM-UP APPROACH
2.4. DATA TRIANGULATION
3. EXECUTIVE SUMMARY
3.1. MARKET SUMMARY
3.2. KEY FINDINGS
3.2.1. PROLIFERATION OF DATA
3.2.2. INCREASE IN MOBILITY SOLUTIONS
3.2.3. ADVENT OF HYBRID STORAGE SYSTEMS
3.2.4. RAPID EVOLUTION OF THE NOSQL SYSTEM
4. MARKET DYNAMICS
4.1. MARKET DEFINITION
4.2. DRIVERS
4.3. RESTRAINTS
4.4. OPPORTUNITIES
4.5. CHALLENGES
5. MARKET BY TYPE
5.1. RELATIONAL
5.2. NOSQL
6. MARKET BY END-USERS
6.1. FINANCIAL SERVICES
6.2. GOVERNMENT AND PUBLIC SECTOR
6.3. HEALTHCARE AND LIFE SCIENCES
6.4. TELECOMMUNICATIONS
6.5. OTHERS
7. MARKET BY DELIVERY MODEL
7.1. ON PREMISE
7.2. HYBRID
7.3. CLOUD
8. KEY ANALYTICS
8.1. PORTER’S 5 FORCE ANALYSIS
8.1.1. THREAT OF NEW ENTRANTS
8.1.2. THREAT OF SUBSTITUTE PRODUCTS
8.1.3. BARGAINING POWER OF BUYERS
8.1.4. BARGAINING POWER OF SUPPLIERS
8.1.5. INTENSITY OF COMPETITIVE RIVALRY
8.2. VENDOR LANDSCAPE
8.3. KEY TRENDS
8.3.1. EMERGENCE OF CLOUD BROKERAGE SERVICES
8.3.2. INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DBMS
8.4. OPPORTUNITY MATRIX
9. GEOGRAPHICAL ANALYSIS
9.1. CHINA
9.2. INDIA
9.3. JAPAN
9.4. SOUTH KOREA
9.5. AUSTRALIA
9.6. INDONESIA
9.7. PHILIPPINES
9.8. TAIWAN
9.9. ROAPAC
10. COMPANY PROFILES
10.1. ORACLE
10.1.1. OVERVIEW
10.1.2. PRODUCT PORTFOLIO
10.1.3. STRATEGIC MOVES
10.1.4. SCOT ANALYSIS
10.2. SAP SE
10.2.1. OVERVIEW
10.2.2. PRODUCT PORTFOLIO
10.2.3. STRATEGIC MOVES
10.2.4. SCOT ANALYSIS
10.3. ENTERPRISE DB
10.3.1. OVERVIEW
10.3.2. PRODUCT PORTFOLIO
10.3.3. STRATEGIC MOVES
10.3.4. SCOT ANALYSIS
10.4. INTERNATIONAL BUSINESS MACHINE (IBM) CORPORATION
10.4.1. OVERVIEW
10.4.2. PRODUCT PORTFOLIO
10.4.3. STRATEGIC MOVES
10.4.4. SCOT ANALYSIS
10.5. AMAZON WEB SERVICES
10.5.1. OVERVIEW
10.5.2. PRODUCT PORTFOLIO
10.5.3. STRATEGIC MOVES
10.5.4. SCOT ANALYSIS
10.6. CLOUDERA
10.6.1. OVERVIEW
10.6.2. PRODUCT PORTFOLIO
10.6.3. STRATEGIC MOVES
10.6.4. SCOT ANALYSIS
1.1. STUDY GOALS
1.2. SCOPE OF THE MARKET STUDY
1.3. WHO WILL FIND THIS REPORT USEFUL?
1.4. STUDY AND FORECASTING YEARS
2. RESEARCH METHODOLOGY
2.1. SOURCES OF DATA
2.1.1. SECONDARY DATA
2.1.2. PRIMARY DATA
2.2. TOP-DOWN APPROACH
2.3. BOTTOM-UP APPROACH
2.4. DATA TRIANGULATION
3. EXECUTIVE SUMMARY
3.1. MARKET SUMMARY
3.2. KEY FINDINGS
3.2.1. PROLIFERATION OF DATA
3.2.2. INCREASE IN MOBILITY SOLUTIONS
3.2.3. ADVENT OF HYBRID STORAGE SYSTEMS
3.2.4. RAPID EVOLUTION OF THE NOSQL SYSTEM
4. MARKET DYNAMICS
4.1. MARKET DEFINITION
4.2. DRIVERS
4.3. RESTRAINTS
4.4. OPPORTUNITIES
4.5. CHALLENGES
5. MARKET BY TYPE
5.1. RELATIONAL
5.2. NOSQL
6. MARKET BY END-USERS
6.1. FINANCIAL SERVICES
6.2. GOVERNMENT AND PUBLIC SECTOR
6.3. HEALTHCARE AND LIFE SCIENCES
6.4. TELECOMMUNICATIONS
6.5. OTHERS
7. MARKET BY DELIVERY MODEL
7.1. ON PREMISE
7.2. HYBRID
7.3. CLOUD
8. KEY ANALYTICS
8.1. PORTER’S 5 FORCE ANALYSIS
8.1.1. THREAT OF NEW ENTRANTS
8.1.2. THREAT OF SUBSTITUTE PRODUCTS
8.1.3. BARGAINING POWER OF BUYERS
8.1.4. BARGAINING POWER OF SUPPLIERS
8.1.5. INTENSITY OF COMPETITIVE RIVALRY
8.2. VENDOR LANDSCAPE
8.3. KEY TRENDS
8.3.1. EMERGENCE OF CLOUD BROKERAGE SERVICES
8.3.2. INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DBMS
8.4. OPPORTUNITY MATRIX
9. GEOGRAPHICAL ANALYSIS
9.1. CHINA
9.2. INDIA
9.3. JAPAN
9.4. SOUTH KOREA
9.5. AUSTRALIA
9.6. INDONESIA
9.7. PHILIPPINES
9.8. TAIWAN
9.9. ROAPAC
10. COMPANY PROFILES
10.1. ORACLE
10.1.1. OVERVIEW
10.1.2. PRODUCT PORTFOLIO
10.1.3. STRATEGIC MOVES
10.1.4. SCOT ANALYSIS
10.2. SAP SE
10.2.1. OVERVIEW
10.2.2. PRODUCT PORTFOLIO
10.2.3. STRATEGIC MOVES
10.2.4. SCOT ANALYSIS
10.3. ENTERPRISE DB
10.3.1. OVERVIEW
10.3.2. PRODUCT PORTFOLIO
10.3.3. STRATEGIC MOVES
10.3.4. SCOT ANALYSIS
10.4. INTERNATIONAL BUSINESS MACHINE (IBM) CORPORATION
10.4.1. OVERVIEW
10.4.2. PRODUCT PORTFOLIO
10.4.3. STRATEGIC MOVES
10.4.4. SCOT ANALYSIS
10.5. AMAZON WEB SERVICES
10.5.1. OVERVIEW
10.5.2. PRODUCT PORTFOLIO
10.5.3. STRATEGIC MOVES
10.5.4. SCOT ANALYSIS
10.6. CLOUDERA
10.6.1. OVERVIEW
10.6.2. PRODUCT PORTFOLIO
10.6.3. STRATEGIC MOVES
10.6.4. SCOT ANALYSIS
LIST OF TABLES
Table 1 ASIA PACIFIC ENTERPRISE DBMS MARKET BY COUNTRY 2017-2020 ($ MILLION)
Table 2 ADVANTAGES OF DATABASE MANAGEMENT SYSTEM
Table 3 ASIA PACIFIC ENTERPRISE DBMS MARKET BY TYPE 2017-2020 ($ MILLION)
Table 4 ASIA PACIFIC ENTERPRISE DBMS MARKET BY END-USERS 2017-2020 ($ MILLION)
Table 5 ASIA PACIFIC ENTERPRISE DBMS MARKET BY DELIVERY MODEL 2017-2020 ($ MILLION)
Table 6 ASIA PACIFIC ENTERPRISE DBMS MARKET BY COUNTRY 2017-2020 ($ MILLION)
Table 1 ASIA PACIFIC ENTERPRISE DBMS MARKET BY COUNTRY 2017-2020 ($ MILLION)
Table 2 ADVANTAGES OF DATABASE MANAGEMENT SYSTEM
Table 3 ASIA PACIFIC ENTERPRISE DBMS MARKET BY TYPE 2017-2020 ($ MILLION)
Table 4 ASIA PACIFIC ENTERPRISE DBMS MARKET BY END-USERS 2017-2020 ($ MILLION)
Table 5 ASIA PACIFIC ENTERPRISE DBMS MARKET BY DELIVERY MODEL 2017-2020 ($ MILLION)
Table 6 ASIA PACIFIC ENTERPRISE DBMS MARKET BY COUNTRY 2017-2020 ($ MILLION)
LIST OF FIGURES
Figure 1 ASIA PACIFIC ENTERPRISE DBMS MARKET BY TYPES 2017-2020 ($ MILLION)
Figure 2 ASIA PACIFIC RELATIONAL DBMS MARKET 2017-2020 ($ MILLION)
Figure 3 ASIA PACIFIC NOSQL DATABASE MARKET 2017-2020 ($ MILLION)
Figure 4 ASIA PACIFIC FINANCIAL SERVICES MARKET 2017-2020 ($ MILLION)
Figure 5 ASIA PACIFIC GOVERNMENT AND PUBLIC SECTOR MARKET 2017-2020 ($ MILLION)
Figure 6 ASIA PACIFIC HEALTHCARE AND LIFE SCIENCES MARKET 2017-2020 ($ MILLION)
Figure 7 ASIA PACIFIC TELECOMMUNICATIONS MARKET 2017-2020 ($ MILLION)
Figure 8 ASIA PACIFIC OTHER ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 9 ADVANTAGES OF ON-PREMISE DATABASE
Figure 10 ASIA PACIFIC ON-PREMISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 11 ASIA PACIFIC HYBRID DBMS MARKET 2017-2020 ($ MILLION)
Figure 12 ASIA PACIFIC CLOUD DBMS MARKET 2017-2020 ($ MILLION)
Figure 13 CHINA ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 14 INDIA ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 15 JAPAN ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 16 AUSTRALIA ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 17 SOUTH KOREA ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 18 INDONESIA ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 19 PHILIPPINES ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 20 TAIWAN ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 21 ROAPAC ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 1 ASIA PACIFIC ENTERPRISE DBMS MARKET BY TYPES 2017-2020 ($ MILLION)
Figure 2 ASIA PACIFIC RELATIONAL DBMS MARKET 2017-2020 ($ MILLION)
Figure 3 ASIA PACIFIC NOSQL DATABASE MARKET 2017-2020 ($ MILLION)
Figure 4 ASIA PACIFIC FINANCIAL SERVICES MARKET 2017-2020 ($ MILLION)
Figure 5 ASIA PACIFIC GOVERNMENT AND PUBLIC SECTOR MARKET 2017-2020 ($ MILLION)
Figure 6 ASIA PACIFIC HEALTHCARE AND LIFE SCIENCES MARKET 2017-2020 ($ MILLION)
Figure 7 ASIA PACIFIC TELECOMMUNICATIONS MARKET 2017-2020 ($ MILLION)
Figure 8 ASIA PACIFIC OTHER ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 9 ADVANTAGES OF ON-PREMISE DATABASE
Figure 10 ASIA PACIFIC ON-PREMISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 11 ASIA PACIFIC HYBRID DBMS MARKET 2017-2020 ($ MILLION)
Figure 12 ASIA PACIFIC CLOUD DBMS MARKET 2017-2020 ($ MILLION)
Figure 13 CHINA ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 14 INDIA ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 15 JAPAN ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 16 AUSTRALIA ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 17 SOUTH KOREA ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 18 INDONESIA ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 19 PHILIPPINES ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 20 TAIWAN ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
Figure 21 ROAPAC ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
