DUBLIN--(BUSINESS WIRE)--The "Asia-Pacific Graph Database Market 2019-2027" report has been added to ResearchAndMarkets.com's offering.
Market Outlook
According to the research, the Asia-Pacific graph database market is expected to grow with a CAGR of 23.79% for the forecast period of 2019-2027.
Countries from the Asia-Pacific region offer one of the best prospects to make rapid progress in the consumer market. Japan is known for its highly advanced technological inventions. The country has made huge investments in graph technology to preserve its higher standards in the usage of Big Data in the Information Technology industry. Applying principles of Big Data in machine learning helps in predicting potential threats and providing solutions.
South Korea has been focusing on encouraging its usage of Big Data and AI by using it in various sectors like robotics, automobile, healthcare, finance, etc. For example, Samsung Card provides personalized discount service based on its Big Data analytics. Also, the rest of the Asia-Pacific countries like Thailand, Malaysia, Vietnam, and Singapore have high potential in terms of the advancement of graph technology. Graph database management systems help to categorize users by analyzing their preferences from stored data. This allows telecom companies to target new consumers and come up with new products & services. It will offer massive opportunities for the growth of the overall graph database market.
Key Topics Covered:
1. Asia-Pacific Graph Database Market - Summary
2. Industry Outlook
2.1. Market Definition
2.2. Key Insights
2.2.1. Cloud is the Fastest-Growing Deployment Model
2.2.2. Software is Dominant in the Component Segment of the Graph Database Market
2.2.3. Recommendation Engine is Rapidly Adopting Graph Database
2.2.4. Relational (Sql) Graph Database is the Prominent Database
2.2.5. Large Enterprises Are the Major Implementers of Graph Database
2.2.6. Transportation & Logistics Industrial Vertical is the Fastest-Growing User of Graph Database
2.3. Porter's Five Forces Analysis
2.3.1. Threat of New Entrants
2.3.2. Threat of Substitute
2.3.3. Bargaining Power of Suppliers
2.3.4. Bargaining Power of Buyers
2.3.5. Intensity of Competitive Rivalry
2.4. Market Attractiveness Index
2.5. Vendor Scorecard
2.6. Value Chain Analysis
2.7. Market Drivers
2.7.1. Increase in the Use of Graph Database in the Government Sector
2.7.2. Increasing Demand for Graphic Database in Data-Intensive Era
2.7.3. Rising Dependence of Business Decisions On Data
2.7.4. Growth in Online Marketing
2.8. Market Restraints
2.8.1. Availability of Skilled Workforce
2.8.2. Cost of Graph Database
2.9. Market Opportunities
2.9.1. Advancement in Technology
2.9.2. Blooming Big Data Scenario
2.10. Market Challenges
2.10.1. Data Security Concerns
2.10.2. Data Storage Capacity Concerns
3. Graph Database Market Outlook - By Component
3.1. Software
3.2. Services
4. Graph Database Market Outlook - By Deployment Model
4.1. On-Premise Deployment Model
4.2. Cloud Deployment Model
5. Graph Database Market Outlook - By Database Type
5.1. Relational (Sql) Database
5.2. Non-Relational (Nosql)
6. Graph Database Market Outlook - By Type of Analysis
6.1. Path Analysis
6.2. Connectivity Analysis
6.3. Community Analysis
6.4. Centrality Analysis
7. Graph Database Market Outlook - By Application
7.1. Fraud Detection & Risk Management
7.2. Master Data Management
7.3. Customer Analytics
7.4. Identity and Access Management
7.5. Recommendation Engine
7.6. Privacy and Risk Compliance
7.7. Other Applications
8. Graph Database Market Outlook - By Organization Size
8.1. Large Enterprises
8.2. Small & Medium Enterprises
9. Graph Database Market Outlook - By Industrial Vertical
9.1. BFSI
9.2. Retail and Ecommerce
9.3. IT and Telecom
9.4. Healthcare and Life Science
9.5. Government and Public Sector
9.6. Media & Entertainment
9.7. Manufacturing
9.8. Transportation & Logistics
9.9. Other Industrial Verticals
10. Graph Database Market - Asia-Pacific
10.1. China
10.2. Japan
10.3. India
10.4. South Korea
10.5. Asean Countries
10.6. Australia & New Zealand
10.7. Rest of Asia-Pacific
11. Competitive Landscape
11.1. Oracle Corporation
11.2. Teradata Corporation (Tdc)
11.3. Neo4J, Inc.
11.4. Orient Db (Acquired By Calliduscloud)
11.5. Datastax, Inc.
11.6. Mongodb Inc. (Mdb)
11.7. Microsoft, Inc.
11.8. Objectivity, Inc.
11.9. Franz Inc.
11.10. Stardog Union Inc.
12. Research Methodology & Scope
12.1. Research Scope & Deliverables
12.1.1. Objectives of Study
12.1.2. Scope of Study
12.2. Sources of Data
12.2.1. Primary Data Sources
12.2.2. Secondary Data Sources
12.3. Research Methodology
12.3.1. Evaluation of Proposed Market
12.3.2. Identification of Data Sources
12.3.3. Assessment of Market Determinants
12.3.4. Data Collection
12.3.5. Data Validation & Analysis
For more information about this report visit https://www.researchandmarkets.com/r/sh2df3
