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Dec 09, 2021 (Market Insight Reports) — Global Graph Database Market Report available at MarketStudyReport.com gives an overview of the Graph Database industry which covers product scope, market revenue, opportunities, growth rate, sales volumes and figures. The report also explores the worldwide players of the market and is segmented by region, type and application with forecast.
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MARKET OUTLOOK
According to the research conducted by , the global graph database market is estimated to reach a CAGR of 20.41% in terms of revenue for the period 2019-2027.
An increase in the use of graph database in various government sectors, rising demand for graphic database, and growth in online marketing drive the overall market. Graph database technology provides unseen data connections and data relationships, exposing deep & broad customer insights. It helps to increase the sales of products & services of the companies. In the business sector, the use of graph analytics is increasing to optimize unstructured and constantly changing data. There are some market restraints like the lack of availability of a skilled workforce and the high costs of setting up a graph database. As the usage of the internet is growing, a huge amount of data gets generated. The security and storage capacity of the data is one of the challenges faced by the market. It is predicted that growing big data schemes and advancements in technology will make the market reach its projected growth.
REGIONAL OUTLOOK
The global graph database market covers the regions of North America, Europe, Asia-Pacific, Latin America, the Middle East and Africa.
Among all the regions, Asia-Pacific indicates the highest possibility for the overall growth of the graph database market. Cloud computing solutions and growing preference to form competitive judgments from connected data from the BFSI and e-commerce sectors, majorly run the expansion of the market. Also, rising demand for smart grid systems under smart city projects in developing countries such as India is expanding the market for graph database in this region. Another reason for the growth of the market in this region is increasing investment in graph database technologies by countries like India, China, and Japan. The Indian government has launched its aEUR�?Big Data Management PolicyaEUR to execute the data generated by various government offices.
COMPETITIVE OUTLOOK
Some outstanding competitors in the graph database market are OrientDB (Acquired by CallidusCloud), MongoDB Inc. (MDB), Franz Inc., Neo4j, Inc., Teradata Corporation (TDC), Microsoft Inc., Oracle Corporation, Objectivity Inc., DataStax, Inc., and Stardog Union Inc.
Oracle Corporation is one of the leading companies in computer technologies, offering products and services to different governmental and educational institutions. The company marked revenues of $39,506 million in the year 2019. In the same year, Oracle invested $6 billion in research & development. It also announced the launch of its self-service application in July 2019, aEUR�?Oracle Spatial Studio,aEUR which creates interactive maps and executes spatial analysis on data.
Table Of Contents
1. Global Graph Database Market AEUR" 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 Fastest Growing User Of Graph Database Market
2.3. PorteraEURS 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 E-Commerce
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 AEUR" Regional Outlook
10.1. North America
10.1.1. Market By Component
10.1.2. Market By Deployment Model
10.1.3. Market By Database Type
10.1.4. Market By Type Of Analysis
10.1.5. Market By Application
10.1.6. Market By Organization Size
10.1.7. Market By Industrial Vertical
10.1.8. Country Analysis
10.1.8.1. United States
10.1.8.2. Canada
10.2. Europe
10.2.1. Market By Component
10.2.2. Market By Deployment Model
10.2.3. Market By Database Type
10.2.4. Market By Type Of Analysis
10.2.5. Market By Application
10.2.6. Market By Organization Size
10.2.7. Market By Industrial Vertical
10.2.8. Country Analysis
10.2.8.1. United Kingdom
10.2.8.2. Germany
10.2.8.3. France
10.2.8.4. Spain
10.2.8.5. Italy
10.2.8.6. Russia
10.2.8.7. Rest Of Europe
10.3. Asia-Pacific
10.3.1. Market By Component
10.3.2. Market By Deployment Model
10.3.3. Market By Database Type
10.3.4. Market By Type Of Analysis
10.3.5. Market By Application
10.3.6. Market By Organization Size
10.3.7. Market By Industrial Vertical
10.3.8. Country Analysis
10.3.8.1. China
10.3.8.2. Japan
10.3.8.3. India
10.3.8.4. South Korea
10.3.8.5. Asean Countries
10.3.8.6. Australia & New Zealand
10.3.8.7. Rest Of Asia-Pacific
10.4. Latin America
10.4.1. Market By Component
10.4.2. Market By Deployment Model
10.4.3. Market By Database Type
10.4.4. Market By Type Of Analysis
10.4.5. Market By Application
10.4.6. Market By Organization Size
10.4.7. Market By Industrial Vertical
10.4.8. Country Analysis
10.4.8.1. Brazil
10.4.8.2. Mexico
10.4.8.3. Rest Of Latin America
10.5. Middle East And Africa
10.5.1. Market By Component
10.5.2. Market By Deployment Model
10.5.3. Market By Database Type
10.5.4. Market By Type Of Analysis
10.5.5. Market By Application
10.5.6. Market By Organization Size
10.5.7. Market By Industrial Vertical
10.5.8. Country Analysis
10.5.8.1. The United Arab Emirates
10.5.8.2. Turkey
10.5.8.3. Saudi Arabia
10.5.8.4. South Africa
10.5.8.5. Rest Of Middle East & Africa
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
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