INDONESIA ENTERPRISE DATABASE MANAGEMENT SYSTEM (DBMS) MARKET FORECAST 2017-2020

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INDONESIA ENTERPRISE DATABASE MANAGEMENT SYSTEM (DBMS) MARKET FORECAST 2017-2020

The Indonesia enterprise DBMS market was valued at $184 million in 2016 and is expected to reach $268 million by 2020. The market is growing at a CAGR of 10.00% over the forecast period. The base year considered for the analysis of the market is 2016. The forecast period is from 2016 to 2020. Increase in the application areas in financial services and healthcare industry and rising acceptance of cloud computing amid the small-scale organizations is majorly responsible for the growth of the enterprise DBMS market in Indonesia.

INDONESIA ENTERPRISE DATABASE MANAGEMENT SYSTEM (DBMS) MARKET FORECAST 2017-2020

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The Indonesia enterprise DBMS market was valued at $184 million in 2016 and is expected to reach $268 million by 2020. The market is growing at a CAGR of 10.00% over the forecast period. The base year considered for the analysis of the market is 2016. The forecast period is from 2016 to 2020. Increase in the application areas in financial services and healthcare industry and rising acceptance of cloud computing amid the small-scale organizations is majorly responsible for the growth of the enterprise DBMS market in Indonesia.

A technology that collects, modifies, stores, and obtains information from the database is known as database management system. DBMS plays a crucial role in the communication and IT industry. The ever-growing digital content across the globe is significantly boosting the requirement of the database management. Moreover, the advent of cloud computing with regards to enormous data management is further propelling the demand for DBMS in varied industries.

The dominant players in the enterprise DBMS market are Oracle, Sap Se, Enterprise DB, International Business Machine (IBM) Corporation, Amazon Web Services, and Cloudera.

 

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  1. RESEARCH SCOPE
    • STUDY GOALS
    • SCOPE OF THE MARKET STUDY
    • WHO WILL FIND THIS REPORT USEFUL?
    • STUDY AND FORECASTING YEARS
  2. RESEARCH METHODOLOGY
    • SOURCES OF DATA
      • SECONDARY DATA
      • PRIMARY DATA
    • TOP-DOWN APPROACH
    • BOTTOM-UP APPROACH
    • DATA TRIANGULATION
  3. EXECUTIVE SUMMARY
    • MARKET SUMMARY
    • KEY FINDINGS
      • PROLIFERATION OF DATA
      • INCREASE IN MOBILITY SOLUTIONS
      • ADVENT OF HYBRID STORAGE SYSTEMS
      • RAPID EVOLUTION OF THE NOSQL SYSTEM
  1. MARKET DYNAMICS
    • MARKET DEFINITION
    • DRIVERS
    • RESTRAINTS
    • OPPORTUNITIES
    • CHALLENGES
  2. MARKET BY TYPE
    • RELATIONAL
    • NOSQL
  3. MARKET BY END-USERS
    • FINANCIAL SERVICES
    • GOVERNMENT AND PUBLIC SECTOR
    • HEALTHCARE AND LIFE SCIENCES
    • TELECOMMUNICATIONS
    • OTHERS
  4. MARKET BY DELIVERY MODEL
    • ON PREMISE
    • HYBRID
    • CLOUD
  5. KEY ANALYTICS
    • PORTER’S 5 FORCE ANALYSIS
      • THREAT OF NEW ENTRANTS
      • THREAT OF SUBSTITUTE PRODUCTS
      • BARGAINING POWER OF BUYERS
      • BARGAINING POWER OF SUPPLIERS
      • INTENSITY OF COMPETITIVE RIVALRY
    • VENDOR LANDSCAPE
    • KEY TRENDS
      • EMERGENCE OF CLOUD BROKERAGE SERVICES
      • INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DBMS
    • OPPORTUNITY MATRIX
  6. GEOGRAPHICAL ANALYSIS
    • INDONESIA
  7. COMPANY PROFILES
    • ORACLE
      • OVERVIEW
      • PRODUCT PORTFOLIO
      • STRATEGIC MOVES
      • SCOT ANALYSIS
    • SAP SE
      • OVERVIEW
      • PRODUCT PORTFOLIO
      • STRATEGIC MOVES
      • SCOT ANALYSIS
    • ENTERPRISE DB
      • OVERVIEW
      • PRODUCT PORTFOLIO
      • STRATEGIC MOVES
      • SCOT ANALYSIS
    • INTERNATIONAL BUSINESS MACHINE (IBM) CORPORATION
      • OVERVIEW
      • PRODUCT PORTFOLIO
      • STRATEGIC MOVES
      • SCOT ANALYSIS
    • AMAZON WEB SERVICES
      • OVERVIEW
      • PRODUCT PORTFOLIO
      • STRATEGIC MOVES
      • SCOT ANALYSIS
    • CLOUDERA
      • OVERVIEW
      • PRODUCT PORTFOLIO
      • STRATEGIC MOVES
      • SCOT ANALYSIS

TABLE LIST

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)

FIGURES LIST

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)

  1. GEOGRAPHICAL ANALYSIS
    • INDONESIA
  2. MARKET BY TYPE
    • RELATIONAL
    • NOSQL
  3. MARKET BY END-USERS
    • FINANCIAL SERVICES
    • GOVERNMENT AND PUBLIC SECTOR
    • HEALTHCARE AND LIFE SCIENCES
    • TELECOMMUNICATIONS
    • OTHERS
  4. MARKET BY DELIVERY MODEL
    • ON PREMISE
    • HYBRID
    • CLOUD

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