PHILIPPINES ENTERPRISE DATABASE MANAGEMENT SYSTEM (DBMS) MARKET FORECAST 2017-2020
KEY FINDINGS
The enterprise DBMS market in the Philippines is expected to hit $130 million by 2020, growing at a CAGR of 12.83% throughout the forecast period 2017-2020. The revenue generated in the year 2016 was $81 million. Enhancement in quality and decision making are the two major advantages of enterprise DBMS.
MARKET INSIGHTS
The enterprise database management system market is segmented into type, end-user, and delivery model. The enterprise DBMS market by type is further classified into Relational and NoSQL. The end-user segment includes financial services, telecommunications, Healthcare and life sciences, and Government and Public Sector. The delivery model market is segregated into on-premise, cloud, and hybrid.
COMPETITIVE INSIGHTS
Amazon Web Services, Enterprise DB, Sap Se, International Business Machine (IBM) Corporation, Oracle, and Cloudera are the dominant players in the enterprise DBMS market.
The enterprise DBMS market in the Philippines is expected to hit $130 million by 2020, growing at a CAGR of 12.83% throughout the forecast period 2017-2020. The revenue generated in the year 2016 was $81 million. Enhancement in quality and decision making are the two major advantages of enterprise DBMS.
MARKET INSIGHTS
The enterprise database management system market is segmented into type, end-user, and delivery model. The enterprise DBMS market by type is further classified into Relational and NoSQL. The end-user segment includes financial services, telecommunications, Healthcare and life sciences, and Government and Public Sector. The delivery model market is segregated into on-premise, cloud, and hybrid.
COMPETITIVE INSIGHTS
Amazon Web Services, Enterprise DB, Sap Se, International Business Machine (IBM) Corporation, Oracle, and Cloudera are the dominant players in the enterprise DBMS market.
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. PHILIPPINES
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. PHILIPPINES
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 ADVANTAGES OF DATABASE MANAGEMENT SYSTEM
TABLE 2 PHILIPPINES ENTERPRISE DBMS MARKET BY TYPE 2017-2020 ($ MILLION)
TABLE 3 PHILIPPINES ENTERPRISE DBMS MARKET BY END-USERS 2017-2020 ($ MILLION)
TABLE 4 PHILIPPINES ENTERPRISE DBMS MARKET BY DELIVERY MODEL 2017-2020 ($ MILLION)
TABLE 1 ADVANTAGES OF DATABASE MANAGEMENT SYSTEM
TABLE 2 PHILIPPINES ENTERPRISE DBMS MARKET BY TYPE 2017-2020 ($ MILLION)
TABLE 3 PHILIPPINES ENTERPRISE DBMS MARKET BY END-USERS 2017-2020 ($ MILLION)
TABLE 4 PHILIPPINES ENTERPRISE DBMS MARKET BY DELIVERY MODEL 2017-2020 ($ MILLION)
LIST OF FIGURES
FIGURE 1 PHILIPPINES ENTERPRISE DBMS MARKET BY TYPES 2017-2020 ($ MILLION)
FIGURE 2 PHILIPPINES RELATIONAL DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 3 PHILIPPINES NOSQL DATABASE MARKET 2017-2020 ($ MILLION)
FIGURE 4 PHILIPPINES FINANCIAL SERVICES MARKET 2017-2020 ($ MILLION)
FIGURE 5 PHILIPPINES GOVERNMENT AND PUBLIC SECTOR MARKET 2017-2020 ($ MILLION)
FIGURE 6 PHILIPPINES HEALTHCARE AND LIFE SCIENCES MARKET 2017-2020 ($ MILLION)
FIGURE 7 PHILIPPINES TELECOMMUNICATIONS MARKET 2017-2020 ($ MILLION)
FIGURE 8 PHILIPPINES OTHER ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 9 ADVANTAGES OF ON-PREMISE DATABASE
FIGURE 10 PHILIPPINES ON-PREMISE DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 11 PHILIPPINES HYBRID DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 12 PHILIPPINES CLOUD DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 13 PHILIPPINES ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
COMPANIES MENTIONED
1. ORACLE
2. SAP SE
3. ENTERPRISE DB
4. INTERNATIONAL BUSINESS MACHINE (IBM) CORPORATION
5. AMAZON WEB SERVICES
6. CLOUDERA
FIGURE 1 PHILIPPINES ENTERPRISE DBMS MARKET BY TYPES 2017-2020 ($ MILLION)
FIGURE 2 PHILIPPINES RELATIONAL DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 3 PHILIPPINES NOSQL DATABASE MARKET 2017-2020 ($ MILLION)
FIGURE 4 PHILIPPINES FINANCIAL SERVICES MARKET 2017-2020 ($ MILLION)
FIGURE 5 PHILIPPINES GOVERNMENT AND PUBLIC SECTOR MARKET 2017-2020 ($ MILLION)
FIGURE 6 PHILIPPINES HEALTHCARE AND LIFE SCIENCES MARKET 2017-2020 ($ MILLION)
FIGURE 7 PHILIPPINES TELECOMMUNICATIONS MARKET 2017-2020 ($ MILLION)
FIGURE 8 PHILIPPINES OTHER ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 9 ADVANTAGES OF ON-PREMISE DATABASE
FIGURE 10 PHILIPPINES ON-PREMISE DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 11 PHILIPPINES HYBRID DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 12 PHILIPPINES CLOUD DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 13 PHILIPPINES ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
COMPANIES MENTIONED
1. ORACLE
2. SAP SE
3. ENTERPRISE DB
4. INTERNATIONAL BUSINESS MACHINE (IBM) CORPORATION
5. AMAZON WEB SERVICES
6. CLOUDERA
