A graph database is an online database management system where connected elements are linked together. It is an ideal solution to store data and to connect relationships between the data much more accurately than a relational database (RDBMS). A graph database is gathering of nodes and edges where every node represents a substance, for example, a person or business and each edge represents a connection or relationship between the two nodes. Each node in a graph database is characterized by a unique identifier, an arrangement of active edges as well as incoming edges and a set of properties communicated as key/value sets. In addition, each edge is characterized by a unique identifier, a beginning spot as well as ending-place node, and a set of properties.
Factors such as surge in adoption for graph database software in the healthcare sector, increase in application areas of graph database, increase in need for better response time & accuracy to discover new data correlations, and upsurge in penetration of connected data to optimize marketing performance fuel the growth of the graph database market. However, lack of technical expertise and high setup costs hinder the growth of graph database market. On the contrary, increase in use of virtualization for big data analytics and technological advancements in graph database technology are expected to provide lucrative opportunities for the market.
The global graph database market is segmented into component, deployment model, type of databases, analysis type, application, organization size, industry vertical, and region. Based on component, the market is bifurcated into software and services. Based on deployment mode, the market is divided into on-premise and cloud. Depending on analysis type, it is classified into path analysis, connectivity analysis, community analysis, and centrality analysis. Application segment includes fraud detection & risk management, master data management, customer analytics, identity and access management, recommendation engine, privacy and risk compliance, and others. As per organization size, it is categorized into large enterprises and small & medium enterprises. According to industry vertical, it is fragmented into BFSI, retail & ecommerce, IT & telecom, healthcare & life science, government & public sector, media & entertainment, manufacturing, transportation & logistics, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report analyzes the profiles of key players operating in the market. These include DataStax, Franz Inc., Neo4j, Inc., Oracle Corporation, OrientDB, MongoDB, Objectivity Inc., Stardog Union Inc., Teradata Corporation, and Microsoft Corporation.
KEY BENEFITS FOR STAKEHOLDERS
KEY MARKET SEGMENTS
BY COMPONENT
BY DEPLOYMENT MODEL
BY TYPE OF DATABASE
BY ANALYSIS TYPE
BY APPLICATION
BY ORGANIZATION SIZE
BY INDUSTRY VERTICAL
BY REGION
o Canada
o France
o UK
o Italy
o Rest of Europe
o China
o Australia
o India
o Rest of Asia-Pacific
o Middle East
o AfricaKEY MARKET PLAYERS
Factors such as surge in adoption for graph database software in the healthcare sector, increase in application areas of graph database, increase in need for better response time & accuracy to discover new data correlations, and upsurge in penetration of connected data to optimize marketing performance fuel the growth of the graph database market. However, lack of technical expertise and high setup costs hinder the growth of graph database market. On the contrary, increase in use of virtualization for big data analytics and technological advancements in graph database technology are expected to provide lucrative opportunities for the market.
The global graph database market is segmented into component, deployment model, type of databases, analysis type, application, organization size, industry vertical, and region. Based on component, the market is bifurcated into software and services. Based on deployment mode, the market is divided into on-premise and cloud. Depending on analysis type, it is classified into path analysis, connectivity analysis, community analysis, and centrality analysis. Application segment includes fraud detection & risk management, master data management, customer analytics, identity and access management, recommendation engine, privacy and risk compliance, and others. As per organization size, it is categorized into large enterprises and small & medium enterprises. According to industry vertical, it is fragmented into BFSI, retail & ecommerce, IT & telecom, healthcare & life science, government & public sector, media & entertainment, manufacturing, transportation & logistics, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report analyzes the profiles of key players operating in the market. These include DataStax, Franz Inc., Neo4j, Inc., Oracle Corporation, OrientDB, MongoDB, Objectivity Inc., Stardog Union Inc., Teradata Corporation, and Microsoft Corporation.
KEY BENEFITS FOR STAKEHOLDERS
- The study provides an in-depth analysis of the global graph database market and current & future trends to elucidate the imminent investment pockets.
- Information about key drivers, restraints, and opportunities and their impact analyses on the market is provided.
- Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the global graph database industry.
- The quantitative analysis of the market from 2018 to 2026 is provided to determine the market potential.
KEY MARKET SEGMENTS
BY COMPONENT
- Software
- Services
BY DEPLOYMENT MODEL
- On-premise
- Cloud
BY TYPE OF DATABASE
- Relational (SQL)
- Non-relational (NoSQL)
BY ANALYSIS TYPE
- Path Analysis
- Connectivity Analysis
- Community Analysis
- Centrality Analysis
BY APPLICATION
- Fraud Detection & Risk Management
- Master Data Management
- Customer Analytics
- Identity and Access Management
- Recommendation Engine
- Privacy and Risk Compliance
- Others
BY ORGANIZATION SIZE
- Large Enterprises
- Small & Medium Enterprises
BY INDUSTRY VERTICAL
- BFSI
- Retail and Ecommerce
- IT and Telecom
- Healthcare and Life Science
- Government and Public Sector
- Media & Entertainment
- Manufacturing
- Transportation & Logistics
- Others
BY REGION
- North America
o Canada
- Europe
o France
o UK
o Italy
o Rest of Europe
- Asia-Pacific
o China
o Australia
o India
o Rest of Asia-Pacific
- LAMEA
o Middle East
o AfricaKEY MARKET PLAYERS
- DataStax
- Franz Inc.
- Neo4j, Inc.
- Oracle Corporation
- OrientDB
- MongoDB
- Objectivity Inc.,
- Stardog Union Inc.
- Teradata Corporation
- Microsoft Corporation
Table of Contents
CHAPTER 1: INTRODUCTION1.1. Report description
1.2. Key benefits for stakeholders
1.3. Key market segments
1.4. Research methodology
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools & models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. Key findings
2.1.1. Top impacting factors
2.1.2. Top investment pockets
2.2. CXO perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key forces shaping graph database market
3.3. Value chain analysis
3.4. Case studies
3.4.1. Bonnier Corporation
3.4.2. Canal Digital
3.5. Market dynamics
3.5.1. Drivers
3.5.2. Restraints
3.5.3. Opportunities
CHAPTER 4: GRAPH DATABASE MARKET, BY COMPONENT
4.1. Overview
4.2. Software
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market analysis by country
4.3. Services
4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market analysis by country
CHAPTER 5: GRAPH DATABASE MARKET, BY DEPLOYMENT MODEL
5.1. Overview
5.2. On-premise
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market analysis by country
5.3. Cloud
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market analysis by country
CHAPTER 6: GRAPH DATABASE MARKET, BY TYPE OF DATABASE
6.1. Overview
6.2. Relational (SQL)
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market analysis by country
6.3. Non-relational (NoSQL)
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market analysis by country
CHAPTER 7: GRAPH DATABASE MARKET, BY ANALYSIS TYPE
7.1. Overview
7.2. Path analysis
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market size and forecast, by region
7.2.3. Market analysis by country
7.3. Connectivity analysis
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market size and forecast, by region
7.3.3. Market analysis by country
7.4. Community analysis
7.4.1. Key market trends, growth factors and opportunities
7.4.2. Market size and forecast, by region
7.4.3. Market analysis by country
7.5. Centrality analysis
7.5.1. Key market trends, growth factors and opportunities
7.5.2. Market size and forecast, by region
7.5.3. Market analysis by country
CHAPTER 8: GRAPH DATABASE MARKET, BY APPLICATION
8.1. Overview
8.2. Fraud Detection & Risk Management
8.2.1. Key market trends, growth factors and opportunities
8.2.2. Market size and forecast, by region
8.2.3. Market analysis by country
8.3. Master Data Management
8.3.1. Key market trends, growth factors and opportunities
8.3.2. Market size and forecast, by region
8.3.3. Market analysis by country
8.4. Customer Analytics
8.4.1. Key market trends, growth factors and opportunities
8.4.2. Market size and forecast, by region
8.4.3. Market analysis by country
8.5. Identity and access management
8.5.1. Key market trends, growth factors and opportunities
8.5.2. Market size and forecast, by region
8.5.3. Market analysis by country
8.6. Recommendation Engine
8.6.1. Key market trends, growth factors and opportunities
8.6.2. Market size and forecast, by region
8.6.3. Market analysis by country
8.7. Privacy and risk complianc
8.7.1. Key market trends, growth factors and opportunities
8.7.2. Market size and forecast, by region
8.7.3. Market analysis by country
8.8. Others
8.8.1. Key market trends, growth factors and opportunities
8.8.2. Market size and forecast, by region
8.8.3. Market analysis by country
CHAPTER 9: GRAPH DATABASE MARKET, BY ORGANIZATION SIZE
9.1. Overview
9.2. Large Enterprises
9.2.1. Key market trends, growth factors and opportunities
9.2.2. Market size and forecast, by region
9.2.3. Market analysis by country
9.3. Small & Medium Enterprises
9.3.1. Key market trends, growth factors and opportunities
9.3.2. Market size and forecast, by region
9.3.3. Market analysis by country
CHAPTER 10: GRAPH DATABASE MARKET, BY INDUSTRY VERTICAL
10.1. Overview
10.2. BFSI
10.2.1. Key market trends, growth factors and opportunities
10.2.2. Market size and forecast, by region
10.2.3. Market analysis by country
10.3. Retail and Ecommerce
10.3.1. Key market trends, growth factors and opportunities
10.3.2. Market size and forecast, by region
10.3.3. Market analysis by country
10.4. IT and Telecom
10.4.1. Key market trends, growth factors and opportunities
10.4.2. Market size and forecast, by region
10.4.3. Market analysis by country
10.5. Healthcare and Life science
10.5.1. Key market trends, growth factors and opportunities
10.5.2. Market size and forecast, by region
10.5.3. Market analysis by countr
10.6. Government and Public Sector
10.6.1. Key market trends, growth factors and opportunities
10.6.2. Market size and forecast, by region
10.6.3. Market analysis by country
10.7. Media & Entertainment
10.7.1. Key market trends, growth factors and opportunities
10.7.2. Market size and forecast, by region
10.7.3. Market analysis by country
10.8. Manufacturing
10.8.1. Key market trends, growth factors and opportunities
10.8.2. Market size and forecast, by region
10.8.3. Market analysis by country
10.9. Transportation & Logistics
10.9.1. Key market trends, growth factors and opportunities
10.9.2. Market size and forecast, by region
10.9.3. Market analysis by country
10.10. Others
10.10.1. Key market trends, growth factors and opportunities
10.10.2. Market size and forecast, by region
10.10.3. Market analysis by country
CHAPTER 11: GRAPH DATABASE MARKET, BY REGION
11.1. Overview
11.2. North America
11.2.1. Key market trends, growth factors and opportunities
11.2.2. Market size and forecast, by Component
11.2.3. Market size and forecast, by Deployment Model
11.2.4. Market size and forecast, by type of database
11.2.5. Market size and forecast, by analysis type
11.2.6. Market size and forecast, by Application
11.2.7. Market size and forecast, by organization size
11.2.8. Market size and forecast, by industry vertical
11.2.9. Market analysis by country
11.2.9.1. U.S.
11.2.9.1.1. Market size and forecast, by Component
11.2.9.1.2. Market size and forecast, by Deployment Model
11.2.9.1.3. Market size and forecast, by type of database
11.2.9.1.4. Market size and forecast, by analysis type
11.2.9.1.5. Market size and forecast, by Application
11.2.10. Market size and forecast, by organization size
11.2.10.1. Market size and forecast, by industry vertical
11.2.10.2. Canada
11.2.10.2.1. Market size and forecast, by Component
11.2.10.2.2. Market size and forecast, by Deployment Model
11.2.10.2.3. Market size and forecast, by type of database
11.2.10.2.4. Market size and forecast, by analysis type
11.2.10.2.5. Market size and forecast, by Application
11.2.11. Market size and forecast, by organization size
11.2.11.1.1. Market size and forecast, by industry vertical
11.3. Europe
11.3.1. Key market trends, growth factors and opportunities
11.3.2. Market size and forecast, by Component
11.3.3. Market size and forecast, by Deployment Model
11.3.4. Market size and forecast, by type of database
11.3.5. Market size and forecast, by analysis type
11.3.6. Market size and forecast, by Application
11.3.7. Market size and forecast, by organization size
11.3.8. Market size and forecast, by industry vertical
11.3.9. Market analysis by country
11.3.9.1. Germany
11.3.9.1.1. Market size and forecast, by Component
11.3.9.1.2. Market size and forecast, by Deployment Model
11.3.9.1.3. Market size and forecast, by type of database
11.3.9.1.4. Market size and forecast, by analysis type
11.3.9.1.5. Market size and forecast, by Application
11.3.9.1.6. Market size and forecast, by organization size
11.3.9.1.7. Market size and forecast, by industry vertical
11.3.9.2. France
11.3.9.2.1. Market size and forecast, by Component
11.3.9.2.2. Market size and forecast, by Deployment Model
11.3.9.2.3. Market size and forecast, by type of database
11.3.9.2.4. Market size and forecast, by analysis type
11.3.9.2.5. Market size and forecast, by Application
11.3.9.2.6. Market size and forecast, by organization size
11.3.9.2.7. Market size and forecast, by industry vertical
11.3.9.3. UK
11.3.9.3.1. Market size and forecast, by Component
11.3.9.3.2. Market size and forecast, by Deployment Model
11.3.9.3.3. Market size and forecast, by type of database
11.3.9.3.4. Market size and forecast, by analysis type
11.3.9.3.5. Market size and forecast, by Application
11.3.9.3.6. Market size and forecast, by industry vertical
11.3.9.4. Italy
11.3.9.4.1. Market size and forecast, by Component
11.3.9.4.2. Market size and forecast, by Deployment Model
11.3.9.4.3. Market size and forecast, by type of database
11.3.9.4.4. Market size and forecast, by analysis type
11.3.9.4.5. Market size and forecast, by Application
11.3.9.4.6. Market size and forecast, by organization size
11.3.9.4.7. Market size and forecast, by industry vertical
11.3.9.5. Rest of Europe
11.3.9.5.1. Market size and forecast, by Component
11.3.9.5.2. Market size and forecast, by Deployment Model
11.3.9.5.3. Market size and forecast, by type of database
11.3.9.5.4. Market size and forecast, by analysis type
11.3.9.5.5. Market size and forecast, by Application
11.3.9.5.6. Market size and forecast, by organization size
11.3.9.5.7. Market size and forecast, by industry vertical
11.4. Asia-Pacific
11.4.1. Key market trends, growth factors and opportunities
11.4.2. Market size and forecast, by Component
11.4.3. Market size and forecast, by Deployment Model
11.4.4. Market size and forecast, by type of database
11.4.5. Market size and forecast, by analysis type
11.4.6. Market size and forecast, by Application
11.4.7. Market size and forecast, by organization size
11.4.8. Market size and forecast, by industry vertical
11.4.9. Market analysis by country
11.4.9.1. Japan
11.4.9.1.1. Market size and forecast, by Component
11.4.9.1.2. Market size and forecast, by Deployment Model
11.4.9.1.3. Market size and forecast, by type of database
11.4.9.1.4. Market size and forecast, by analysis type
11.4.9.1.5. Market size and forecast, by Application
11.4.9.1.6. Market size and forecast, by organization size
11.4.9.1.7. Market size and forecast, by industry vertical
11.4.9.2. China
11.4.9.2.1. Market size and forecast, by Component
11.4.9.2.2. Market size and forecast, by Deployment Model
11.4.9.2.3. Market size and forecast, by type of database
11.4.9.2.4. Market size and forecast, by analysis type
11.4.9.2.5. Market size and forecast, by Application
11.4.9.2.6. Market size and forecast, by organization size
11.4.9.2.7. Market size and forecast, by industry vertical
11.4.9.3. Australia
11.4.9.3.1. Market size and forecast, by Component
11.4.9.3.2. Market size and forecast, by Deployment Model
11.4.9.3.3. Market size and forecast, by type of database
11.4.9.3.4. Market size and forecast, by analysis type
11.4.9.3.5. Market size and forecast, by Application
11.4.9.3.6. Market size and forecast, by organization size
11.4.9.3.7. Market size and forecast, by industry vertical
11.4.9.4. India
11.4.9.4.1. Market size and forecast, by Component
11.4.9.4.2. Market size and forecast, by Deployment Model
11.4.9.4.3. Market size and forecast, by type of database
11.4.9.4.4. Market size and forecast, by analysis type
11.4.9.4.5. Market size and forecast, by Application
11.4.9.4.6. Market size and forecast, by organization size
11.4.9.4.7. Market size and forecast, by industry vertical
11.4.9.5. Rest of Asia-pacific
11.4.9.5.1. Market size and forecast, by Component
11.4.9.5.2. Market size and forecast, by Deployment Model
11.4.9.5.3. Market size and forecast, by type of database
11.4.9.5.4. Market size and forecast, by analysis type
11.4.9.5.5. Market size and forecast, by Application
11.4.9.5.6. Market size and forecast, by organization size
11.4.9.5.7. Market size and forecast, by industry vertical
11.5. LAMEA
11.5.1. Key market trends, growth factors and opportunities
11.5.2. Market size and forecast, by Component
11.5.3. Market size and forecast, by Deployment Model
11.5.4. Market size and forecast, by type of database
11.5.5. Market size and forecast, by analysis type
11.5.6. Market size and forecast, by Application
11.5.7. Market size and forecast, by organization size
11.5.8. Market size and forecast, by industry vertical
11.5.9. Market analysis by country
11.5.9.1. Latin America
11.5.9.1.1. Market size and forecast, by Component
11.5.9.1.2. Market size and forecast, by Deployment Model
11.5.9.1.3. Market size and forecast, by type of database
11.5.9.1.4. Market size and forecast, by analysis type
11.5.9.1.5. Market size and forecast, by Application
11.5.9.1.6. Market size and forecast, by Application
11.5.9.1.7. Market size and forecast, by industry vertical
11.5.9.2. Middle East
11.5.9.2.1. Market size and forecast, by Component
11.5.9.2.2. Market size and forecast, by Deployment Model
11.5.9.2.3. Market size and forecast, by type of database
11.5.9.2.4. Market size and forecast, by analysis type
11.5.9.2.5. Market size and forecast, by Application
11.5.9.2.6. Market size and forecast, by Application
11.5.9.2.7. Market size and forecast, by industry vertical
11.5.9.3. Africa
11.5.9.3.1. Market size and forecast, by Component
11.5.9.3.2. Market size and forecast, by Deployment Model
11.5.9.3.3. Market size and forecast, by type of database
11.5.9.3.4. Market size and forecast, by analysis type
11.5.9.3.5. Market size and forecast, by Application
11.5.9.3.6. Market size and forecast, by Application
11.5.9.3.7. Market size and forecast, by industry vertical
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
LOADING...
