INDONESIA ENTERPRISE DATABASE MANAGEMENT SYSTEM (DBMS) MARKET FORECAST 2017-2020
KEY FINDINGS
The market for enterprise DBMS in Indonesia is expected to proliferate from $184 million in 2016 to $268 million by 2020. The growth of the market is anticipated at a CAGR of 10.00% during 2017-2020. Improvement in sharing of data due to DBMS, less integration of data, and improved security of data are few of the key factors propelling the growth of the enterprise DBMS in Indonesia.
MARKET INSIGHTS
DBMS has given rise to varied areas like security, testing, and analytics. Testing includes the analysis of the efficiency and effectiveness of the application prior to the selling of the product. Information security provides solutions to the threat faced by the companies. Analytics of data is an evolving arena where different perception is being made with the aid of outstanding extent of data. Furthermore, DBMS provides security framework and privacy of information.
COMPETITIVE INSIGHTS
The major companies that are mentioned in the report are International Business Machine (IBM) Corporation, Oracle, Enterprise DB, Sap Se, Cloudera, and Amazon Web Services.
The market for enterprise DBMS in Indonesia is expected to proliferate from $184 million in 2016 to $268 million by 2020. The growth of the market is anticipated at a CAGR of 10.00% during 2017-2020. Improvement in sharing of data due to DBMS, less integration of data, and improved security of data are few of the key factors propelling the growth of the enterprise DBMS in Indonesia.
MARKET INSIGHTS
DBMS has given rise to varied areas like security, testing, and analytics. Testing includes the analysis of the efficiency and effectiveness of the application prior to the selling of the product. Information security provides solutions to the threat faced by the companies. Analytics of data is an evolving arena where different perception is being made with the aid of outstanding extent of data. Furthermore, DBMS provides security framework and privacy of information.
COMPETITIVE INSIGHTS
The major companies that are mentioned in the report are International Business Machine (IBM) Corporation, Oracle, Enterprise DB, Sap Se, Cloudera, and Amazon Web Services.
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. INDONESIA
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. INDONESIA
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 INDONESIA ENTERPRISE DBMS MARKET BY TYPE 2017-2020 ($ MILLION)
TABLE 3 INDONESIA ENTERPRISE DBMS MARKET BY END-USERS 2017-2020 ($ MILLION)
TABLE 4 INDONESIA ENTERPRISE DBMS MARKET BY DELIVERY MODEL 2017-2020 ($ MILLION)
TABLE 1 ADVANTAGES OF DATABASE MANAGEMENT SYSTEM
TABLE 2 INDONESIA ENTERPRISE DBMS MARKET BY TYPE 2017-2020 ($ MILLION)
TABLE 3 INDONESIA ENTERPRISE DBMS MARKET BY END-USERS 2017-2020 ($ MILLION)
TABLE 4 INDONESIA ENTERPRISE DBMS MARKET BY DELIVERY MODEL 2017-2020 ($ MILLION)
LIST OF FIGURES
FIGURE 1 INDONESIA ENTERPRISE DBMS MARKET BY TYPES 2017-2020 ($ MILLION)
FIGURE 2 INDONESIA RELATIONAL DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 3 INDONESIA NOSQL DATABASE MARKET 2017-2020 ($ MILLION)
FIGURE 4 INDONESIA FINANCIAL SERVICES MARKET 2017-2020 ($ MILLION)
FIGURE 5 INDONESIA GOVERNMENT AND PUBLIC SECTOR MARKET 2017-2020 ($ MILLION)
FIGURE 6 INDONESIA HEALTHCARE AND LIFE SCIENCES MARKET 2017-2020 ($ MILLION)
FIGURE 7 INDONESIA TELECOMMUNICATIONS MARKET 2017-2020 ($ MILLION)
FIGURE 8 INDONESIA OTHER ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 9 ADVANTAGES OF ON-PREMISE DATABASE
FIGURE 10 INDONESIA ON-PREMISE DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 11 INDONESIA HYBRID DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 12 INDONESIA CLOUD DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 13 INDONESIA 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 INDONESIA ENTERPRISE DBMS MARKET BY TYPES 2017-2020 ($ MILLION)
FIGURE 2 INDONESIA RELATIONAL DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 3 INDONESIA NOSQL DATABASE MARKET 2017-2020 ($ MILLION)
FIGURE 4 INDONESIA FINANCIAL SERVICES MARKET 2017-2020 ($ MILLION)
FIGURE 5 INDONESIA GOVERNMENT AND PUBLIC SECTOR MARKET 2017-2020 ($ MILLION)
FIGURE 6 INDONESIA HEALTHCARE AND LIFE SCIENCES MARKET 2017-2020 ($ MILLION)
FIGURE 7 INDONESIA TELECOMMUNICATIONS MARKET 2017-2020 ($ MILLION)
FIGURE 8 INDONESIA OTHER ENTERPRISE DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 9 ADVANTAGES OF ON-PREMISE DATABASE
FIGURE 10 INDONESIA ON-PREMISE DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 11 INDONESIA HYBRID DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 12 INDONESIA CLOUD DBMS MARKET 2017-2020 ($ MILLION)
FIGURE 13 INDONESIA 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
