Graph Database Market

Graph Database Market by Type (RDF and Property Graph), Application (Risk Management & Fraud Detection, Customer Analytics, Recommendation Engines), Component (Tools and Services), Deployment Type, Industry Vertical, and Region - Global Forecast to 2023

Report Code: TC 6341 Jun, 2018, by marketsandmarkets.com

[165 Pages Report] The global graph database market is expected to grow from USD 821.8 Million in 2018 to USD 2,409.1 Million by 2023, at a CAGR of 24.0% during the forecast period. A graph database management system is an online database management system with Create, Read, Update, and Delete (CRUD) methods. These are generally built for use with transactional systems. Graph databases have become a mainstream technology in data management for enterprises and find applications in every industry sector. The graph database technology offers several advantages to overcome large and complex data challenges, compared to other database solutions. The benefits include the ability to scale more naturally to large data sets, flexibility for evolving data structures and being faster for related data sets. The base year considered for the study is 2017, and the forecast has been provided for the period between 2018 and 2023.

Graph Database Market Dynamics

Drivers

  • Increasing need for better response time and accuracy to discover new data correlations
  • Multi-dimensional data management with real-time query support
  • AI-enhanced graph database tools and services

Restraints

  • Lack of technical expertise
  • High setup costs

Opportunities

  • Rapid use of virtualization for big data analytics

Challenges

  • Functionality constraints
  • Data integration impacts on insight timeliness

Use of graph database in healthcare and life sciences vertical to drive the growth of the market

Graph database tools play an important role in the healthcare and life sciences industry vertical, starting from recording patients’ information from different sources to discharging patients. Healthcare-focused startups, such as Zephyr Health, leverage the graph database technology for fulfilling the unmet needs of their customers. Healthcare organizations and institutions use graph database tools and services to improve their operational efficiency, enhance the safety, improvise the quality of patient care, and reduce costs. Industry regulations, such as HIPPA and HITECH, provide guidelines for healthcare data privacy and the safe transmission of electronic health data.

Graph Database Market

The following are the major objectives of the study:

The main objective of this report is to define, describe, and forecast the global graph database market by types, applications, components, deployment models, organization sizes, verticals, and regions. The report analyzes the major factors influencing the market growth, such as drivers, restraints, opportunities, and challenges. It aims to strategically analyze the micromarkets with respect to individual growth trends, prospects, and their contribution to the market. The report attempts to forecast the market size for 5 major regions, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. It contains key vendor profiles and comprehensively analyzes their core competencies. Moreover, the report tracks and analyzes competitive developments, including partnerships, collaborations, acquisitions, new product developments, and R&D activities in the graph database market.

The research methodology used to estimate and forecast the graph database market starts with data collection through secondary research on the key vendors. The sources referred for secondary research include journals and magazines, such as D&B Hoovers, Bloomberg, EconoTimes, Factiva, and OneSource. The vendor offerings were taken into consideration to determine the market segmentation. The bottom-up procedure was employed to arrive at the overall market size of the global graph database market from the revenue of the key players in the market. Post-estimation of overall market size, the total market was divided into several segments and subsegments, which were then verified through primary research by conducting extensive interviews with the key personnel, such as Chief Marketing Officers (CMOs), Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all the segments and subsegments. The breakdown of primary profiles is depicted in the below figure:

Graph Database Market

To know about the assumptions considered for the study, download the PDF brochure

The key vendors of the graph database market are IBM (US), Microsoft (US), Oracle (US), AWS (US), Neo4j (US), OrientDB (UK), TIBCO Software (US), Franz (US), Teradata Corporation (US), OpenLink Software (US), MarkLogic (US), TigerGraph (US), DataStax (US), Ontotext (Bulgaria), Stardog (US), Cray (US), ArangoDB (Germany), Sparcity Technologies (Spain), Memgraph (UK), Bitnine (Korea), Objectivity (US), MongoDB (US), Cambridge Semantics (US), Fluree (US), and Blazegraph (US).

Major Graph Database Market Developments:

  1. In October, 2017, Oracle added AI capabilities into its big data cloud. The new capabilities help enterprises improve their business insights, enabling consumers to refine their decision-making skills.
  2. In May 2018, Neo4j released Neo4j 3.4 with added capabilities of multi-clustering, adding date/time and 3D geospatial search functions to Cypher, and horizontal scaling.
  3. In November, 2017 TIBCO Software acquired Alpine Data, a provider of innovative, cloud-based data science and social collaboration platform. This acquisition would help customers act on data-driven insights more quickly than before.

Target Audience:

  • Consulting companies
  • Government agencies
  • Investors and venture capitalists
  • Small and Medium-sized Enterprises (SMEs) and large enterprises
  • Third-party providers
  • Consultants/consultancies/advisory firms
  • Professional service providers

Scope of the Report:

By Type:

  • RDF
  • Property Graph

By Application:

  • Customer Analytics
  • Risk Management & Fraud Detection
  • Recommendation Engines
  • Others

By Component:

  • Tools
  • Services

By Deployment Model:

  • On-premises
  • Cloud

By Organization Size:

  • Large enterprises
  • Small and Medium-sized Enterprises (SMEs)

By Vertical:

  • BFSI
  • Telecom and IT
  • Retail and eCommerce
  • Healthcare and Life Sciences
  • Manufacturing
  • Government and Public
  • Transportation and Logistics
  • Energy and Utilities
  • Others

By Region:

  • North America
  • Europe
  • MEA
  • APAC
  • Latin America

Critical questions which the report answers:

  • What are new application areas which the graph database companies are exploring?
  • Which are the key players in the market and how intense is the competition?

Available Customizations:

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix gives a detailed comparison of the product portfolio of each company

Company Information

  • Detailed analysis and profiling of additional market players upto 5

The global graph database market is expected to grow from USD 821.8 Million in 2018 to USD 2,409.1 Million by 2023, at a CAGR of 24.0% during the forecast period. An emerging need to have precision and better response time to discover new correlations and multi-dimensional data management with real-time query support are some of the driving factors of the global market. Graph databases have become a mainstream technology in data management for enterprises and find applications in every industry sector. The graph database technology offers several advantages to overcome large and complex data challenges, compared to other database solutions. The benefits include the ability to scale more naturally to large data sets, flexibility for evolving data structures and being faster for related data sets.

Graph databases find their applications in as linguistics, chemistry, and social networks. For instance, the integration of the technology allows the user to demonstrate the relationship between people and their organizations. Companies operating in the market have come up with several use cases to describe specific graph database applications in multiple industry verticals. It has also created a new landscape of tools and technologies, which can be useful beyond social networks, such as recommendation engines, logistics, and genomic sequencing. The companies operating in the market provide radically new approaches to link heterogeneous data, connect billions of pieces of connected data, create new sources of value for customers, and increase the operational agility for customer service.

The adoption of graph database tools is expected to be increasing in APAC and Latin America, due to the rapid generation of data across industry verticals and the increasing investments in new technologies, such as Machine Learning (ML) and AI. Factors such as rapid economic developments, globalization, digitalization, and increased adoption of high-end technologies are expected to drive the adoption of graph database tools and services, in turn, driving the overall market growth in the APAC region.

Graph Database Market

Graph database applications in BFSI, retail & ecommerce, and healthcare & life sciences to drive the growth of the graph database market

Banking, Financial Services, and Insurance (BFSI)

Technology empowers banks and other financial associations to manage their operations and processes. Technological infrastructures provide a centralized pathway that facilitates business units and back office tasks, and ultimately helps serve customers better. The major factors that are expected to be hindering the adoption of graph database tools and services are the outdated systems and architecture because of the pressure to earn more profits. As the BFSI industry vertical handles important customer data consisting of transaction passwords, account numbers, and card details, the need to keep the data protected from external and internal threats is of high priority. With the increasing number of financial industry regulatory requirements, such as PCI DSS and SOX, organizations require advanced security technologies to meet these regulations. The best way to reduce the operational complexities and enhance the business growth of an organization is to upgrade its systems and technology architecture.

Healthcare & Life Sciences

Enterprises in the healthcare and life sciences industry vertical face many compliance challenges, as it is one of the most regulated industry vertical. To comply with various regulations, the healthcare sector startups have started adopting graph database tools and services. Graph database tools, with a data model predicated on nodes/vertices and relationships/edges, provide a strong means to examine the connections between data entities. This facilitates scientists to conduct ad-hoc queries and discover the required insights from the collected data. Graph database tools play an important role in the healthcare and life sciences industry vertical, starting from recording patients’ information from different sources to discharging patients.

Retail & eCommerce

Retail and eCommerce companies are constantly making use of technology to enhance their users’ experience and ensure that their customers do not switch to any of their competitors. Global eCommerce vendors are coming up with innovative applications by integrating AI and ML in their portals. The need to maintain customer trust and improve the brand image is forcing the retail and eCommerce vendors to adopt advanced solutions for faster business operations. Such companies are using graph database tools and services to extract customer data from suppliers and manufacturers in the form of user-generated product reviews and social media comments. The robust recommendation engine applications help extract product, customer, inventory, supplier, and social sentiment data into a graph database to identify customers’ buying patterns and provide better and smarter recommendations.

Critical questions the report answers:

  • What are the potential applications of graph database for different industries in the near future?
  • Which development strategies companies are adopting to increase their share in the graph database market?

The major vendors in the graph database market include Oracle Corporation (Oracle), IBM Corporation (IBM), Amazon Web Services, Inc. (AWS), DataStax, Ontotext, Stardog Union (Stardog), Cray Inc. (Cray), Teradata Corporation (Teradata), ArangoDB, Blazegraph, Microsoft Corporation (Microsoft), Openlink Software, MarkLogic Corporation (MarkLogic), TIBCO Software, Inc. (TIBCO), Sparcity technologies, Neo4j, Inc. (Neo4j), OrientDB LTD. (OrientDB), MongoDB, Inc. (MongoDB), Cambridge Semantics, and Fluree.

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 18)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
    1.4 Years Considered for the Study
    1.5 Currency
    1.6 Stakeholders

2 Research Methodology (Page No. - 22)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakdown of Primaries
                    2.1.2.2 Key Industry Insights
    2.2 Graph Database Market Size Estimation
    2.3 Research Assumptions
    2.4 Limitations

3 Executive Summary (Page No. - 29)

4 Premium Insights (Page No. - 34)
    4.1 Attractive Opportunities in the Graph Database Market
    4.2 Market Share, By Region
    4.3 Market By Industry Vertical and Region
    4.4 Best Market to Invest In, By Region, 2018

5 Graph Database Market Overview (Page No. - 38)
    5.1 Market Overview
           5.1.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Increasing Need for Better Response Time and Accuracy to Discover New Data Correlations
                    5.2.1.2 Multi-Dimensional Data Management With Real-Time Query Support
                    5.2.1.3 Ai-Enhanced Graph Database Tools and Services
           5.2.2 Restraints
                    5.2.2.1 Lack of Technical Expertise
                    5.2.2.2 High Setup Costs
           5.2.3 Opportunities
                    5.2.3.1 Rapid Use of Virtualization for Big Data Analytics
           5.2.4 Challenges
                    5.2.4.1 Functionality Constraints
                    5.2.4.2 Data Integration Impacts on Insight Timeliness
    5.3 Graph Database: Use Cases
           5.3.1 Use Case #1: Real-Time Graph Queries in Media and Advertising Industry
           5.3.2 Use Case #2: Revolutionizing Business Cards
           5.3.3 Use Case #3: Allowing Scale Knowledge-Based Analytics, Classification, Pattern Recognition, Predictive Modeling, and Simulations
           5.3.4 Use Case #4: Investigating the Biggest Data Leak in History
           5.3.5 Regulations
                    5.3.5.1 General Data Protection Regulation
                    5.3.5.2 Health Insurance Portability and Accountability Act of 1996
                    5.3.5.3 Basel Committee on Banking Supervision 239 Compliance
                    5.3.5.4 Sarbanes-Oxley Act of 2002

6 Graph Database Market, By Type (Page No. - 46)
    6.1 Introduction
    6.2 Resource Description Framework
    6.3 Property Graph

7 Graph Database Market, By Application (Page No. - 50)
    7.1 Introduction
    7.2 Customer Analytics
    7.3 Risk Management and Fraud Detection
    7.4 Recommendation Engines
    7.5 Others

8 Graph Database Market, By Component (Page No. - 55)
    8.1 Introduction
    8.2 Tools
    8.3 Services
           8.3.1 Managed Services
           8.3.2 Professional Services
                    8.3.2.1 Consulting Services
                    8.3.2.2 Support and Maintenance Services
                    8.3.2.3 Deployment and Integration Services

9 Graph Database Market, By Deployment Type (Page No. - 63)
    9.1 Introduction
    9.2 Cloud
    9.3 On-Premises

10 Graph Database Market, By Organization Size (Page No. - 67)
     10.1 Introduction
     10.2 Large Enterprises
     10.3 Small and Medium-Sized Enterprises

11 Graph Database Market, By Industry Vertical (Page No. - 71)
     11.1 Introduction
     11.2 Banking, Financial Services, and Insurance
     11.3 Telecom and It
     11.4 Healthcare and Lifesciences
     11.5 Transportation and Logistics
     11.6 Retail and Ecommerce
     11.7 Energy and Utilities
     11.8 Government and Public
     11.9 Manufacturing
     11.10 Others

12 Graph Database Market, By Region (Page No. - 82)
     12.1 Introduction
     12.2 North America
             12.2.1 North America By Type
             12.2.2 North America By Application
             12.2.3 North America By Component
             12.2.4 North America By Service
             12.2.5 North America By Deployment Type
             12.2.6 North America By Organization Size
             12.2.7 North America By Industry Vertical
             12.2.8 North America By Country
                        12.2.8.1 United States
                        12.2.8.2 Canada
     12.3 Europe
             12.3.1 Europe By Type
             12.3.2 Europe By Application
             12.3.3 Europe By Component
             12.3.4 Europe By Service
             12.3.5 Europe By Deployment Type
             12.3.6 Europe By Organization Size
             12.3.7 Europe By Industry Vertical
             12.3.8 Europe By Country
                        12.3.8.1 United Kingdom
                        12.3.8.2 Germany
                        12.3.8.3 France
                        12.3.8.4 Rest of Europe
     12.4 Asia Pacific
             12.4.1 Asia Pacific By Type
             12.4.2 Asia Pacific By Application
             12.4.3 Asia Pacific By Component
             12.4.4 Asia Pacific By Service
             12.4.5 Asia Pacific By Deployment Type
             12.4.6 Asia Pacific By Organization Size
             12.4.7 Asia Pacific By Industry Vertical
             12.4.8 Asia Pacific By Country
                        12.4.8.1 China
                        12.4.8.2 Japan
                        12.4.8.3 Australia and New Zealand
                        12.4.8.4 Rest of Asia Pacific
     12.5 Latin America
             12.5.1 Latin America By Type
             12.5.2 Latin America By Application
             12.5.3 Latin America By Component
             12.5.4 Latin America By Service
             12.5.5 Latin America By Deployment Type
             12.5.6 Latin America By Organization Size
             12.5.7 Latin America By Industry Vertical
             12.5.8 Latin America By Country
                        12.5.8.1 Mexico
                        12.5.8.2 Brazil
                        12.5.8.3 Rest of Latin America
     12.6 Middle East and Africa
             12.6.1 Middle East and Africa By Type
             12.6.2 Middle East and Africa By Application
             12.6.3 Middle East and Africa By Component
             12.6.4 Middle East and Africa By Service
             12.6.5 Middle East and Africa By Deployment Type
             12.6.6 Middle East and Africa By Organization Size
             12.6.7 Middle East and Africa By Industry Vertical
             12.6.8 Middle East and Africa By Country
                        12.6.8.1 United Arab Emirates
                        12.6.8.2 Kingdom of Saudi Arabia
                        12.6.8.3 Qatar
                        12.6.8.4 South Africa
                        12.6.8.5 Rest of Middle East and Africa

13 Competitive Landscape (Page No. - 109)
     13.1 Overview
     13.2 Key Players in the Graph Database Market
     13.3 Competitive Scenario
             13.3.1 New Product Launches and Product Upgradations
             13.3.2 Partnerships, Collaborations, and Agreements
             13.3.3 Acquisitions

14 Company Profiles (Page No. - 113)
(Business Overview, Solutions Offered, Recent Developments, SWOT Analysis & MnM View)*
     14.1 IBM
     14.2 Microsoft
     14.3 Oracle
     14.4 AWS
     14.5 Neo4j
     14.6 Orientdb
     14.7 Teradata Corporation
     14.8 Tibco Software
     14.9 Franz
     14.10 Openlink Software
     14.11 Marklogic
     14.12 Tigergraph
     14.13 MongoDB 
     14.14 Cray
     14.15 Datastax
     14.16 Ontotext
     14.17 Stardog
     14.18 Arangodb
     14.19 Sparcity Technologies
     14.20 Bitnine
     14.21 Objectivity
     14.22 Cambridge Semantics
     14.23 Fluree
     14.24 Blazegraph
     14.25 Memgraph

*Details on Business Overview, Solutions Offered, Recent Developments, SWOT Analysis & MnM View Might Not Be Captured in Case of Unlisted Companies.

15 Appendix (Page No. - 156)
     15.1 Discussion Guide
     15.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
     15.3 Introducing RT: Real Time Market Intelligence
     15.4 Available Customizations
     15.5 Related Reports
     15.6 Author Details


List of Tables (79 Tables)

Table 1 United States Dollar Exchange Rate, 2014–2017
Table 2 Graph Database Market Size and Growth Rate, 2016–2023 (USD Million, Y-O-Y %)
Table 3 Market Size By Type, 2016–2023 (USD Million)
Table 4 Resource Description Framework: Market Size By Region, 2016–2023 (USD Million)
Table 5 Property Graph: Market Size By Region, 2016–2023 (USD Million)
Table 6 Graph Database Market Size By Application, 2016–2023 (USD Million)
Table 7 Customer Analytics: Market Size By Region, 2016–2023 (USD Million)
Table 8 Risk Management and Fraud Detection: Market Size By Region, 2016–2023 (USD Million)
Table 9 Recommendation Engines: Market Size By Region, 2016–2023 (USD Million)
Table 10 Others: Market Size By Region, 2016–2023 (USD Million)
Table 11 Graph Database Market Size, By Component, 2016–2023 (USD Million)
Table 12 Tools: Market Size By Region, 2016–2023 (USD Million)
Table 13 Services: Market Size By Region, 2016–2023 (USD Million)
Table 14 Services: Market Size By Type, 2016–2023 (USD Million)
Table 15 Managed Services: Market Size By Region, 2016–2023 (USD Million)
Table 16 Professional Services: Graph Database Market Size By Region, 2016–2023 (USD Million)
Table 17 Professional Services: Market Size By Type, 2016–2023 (USD Million)
Table 18 Consulting Services Market Size, By Region, 2016–2023 (USD Million)
Table 19 Support and Maintenance Services Market Size, By Region, 2016–2023 (USD Million)
Table 20 Deployment and Integration Services Market Size, By Region, 2016–2023 (USD Million)
Table 21 Graph Database Market Size, By Deployment Type, 2016–2023 (USD Million)
Table 22 Cloud: Market Size By Region, 2016–2023 (USD Million)
Table 23 On-Premises: Market Size By Region, 2016–2023 (USD Million)
Table 24 Market Size By Organization Size, 2016–2023 (USD Million)
Table 25 Large Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 26 Small and Medium-Sized Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 27 Graph Database Market Size, By Industry Vertical, 2016–2023 (USD Million)
Table 28 Banking, Financial Services, and Insurance: Market Size, By Region, 2018-2023 (USD Million)
Table 29 Telecom and It: Market Size By Region, 2016–2023 (USD Million)
Table 30 Healthcare and Life Sciences: Market Size By Region, 2016–2023 (USD Million)
Table 31 Transportation and Logistics: Graph Database Market Size By Region, 2016–2023 (USD Million)
Table 32 Retail and Ecommerce: Market Size By Region, 2016–2023 (USD Million)
Table 33 Energy and Utilities: Market Size By Region, 2016–2023 (USD Million)
Table 34 Government and Public: Market Size By Region, 2016–2023 (USD Million)
Table 35 Manufacturing: Market Size By Region, 2016–2023 (USD Million)
Table 36 Others: Graph Database Market Size, By Region, 2016–2023 (USD Million)
Table 37 North America: Market Size By Type, 2016–2023 (USD Million)
Table 38 North America: Market Size By Application, 2016–2023 (USD Million)
Table 39 North America: Market Size By Component, 2016–2023 (USD Million)
Table 40 North America: Market Size By Service, 2016–2023 (USD Million)
Table 41 North America: Market Size By Deployment Type, 2016–2023 (USD Million)
Table 42 North America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 43 North America: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 44 North America: Market Size By Country, 2016–2023 (USD Million)
Table 45 Europe: Graph Database Market Size, By Type, 2016–2023 (USD Million)
Table 46 Europe: Market Size By Application, 2016–2023 (USD Million)
Table 47 Europe: Market Size By Component, 2016–2023 (USD Million)
Table 48 Europe: Market Size By Service, 2016–2023 (USD Million)
Table 49 Europe: Market Size By Deployment Type, 2016–2023 (USD Million)
Table 50 Europe: Market Size By Organization Size, 2016–2023 (USD Million)
Table 51 Europe: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 52 Europe: Market Size By Country, 2016–2023 (USD Million)
Table 53 Asia Pacific: Graph Database Market Size, By Type, 2016–2023 (USD Million)
Table 54 Asia Pacific: Market Size By Application, 2016–2023 (USD Million)
Table 55 Asia Pacific: Market Size By Component, 2016–2023 (USD Million)
Table 56 Asia Pacific: Market Size By Service, 2016–2023 (USD Million)
Table 57 Asia Pacific: Market Size By Deployment Type, 2016–2023 (USD Million)
Table 58 Asia Pacific: Market Size By Organization Size, 2016–2023 (USD Million)
Table 59 Asia Pacific: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 60 Asia Pacific: Market Size By Country, 2016–2023 (USD Million)
Table 61 Latin America: Graph Database Market Size, By Type, 2016–2023 (USD Million)
Table 62 Latin America: Market Size By Application, 2016–2023 (USD Million)
Table 63 Latin America: Market Size By Component, 2016–2023 (USD Million)
Table 64 Latin America: Market Size By Service, 2016–2023 (USD Million)
Table 65 Latin America: Market Size By Deployment Type, 2016–2023 (USD Million)
Table 66 Latin America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 67 Latin America: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 68 Latin America: Market Size By Country, 2016–2023 (USD Million)
Table 69 Middle East and Africa: Graph Database Market Size, By Type, 2016–2023 (USD Million)
Table 70 Middle East and Africa: Market Size By Application, 2016–2023 (USD Million)
Table 71 Middle East and Africa: Market Size By Component, 2016–2023 (USD Million)
Table 72 Middle East and Africa: Market Size By Service, 2016–2023 (USD Million)
Table 73 Middle East and Africa: Market Size By Deployment Type, 2016–2023 (USD Million)
Table 74 Middle East and Africa: Market Size By Organization Size, 2016–2023 (USD Million)
Table 75 Middle East and Africa: Market Size By Industry Vertical, 2016–2023 (USD Million)
Table 76 Middle East and Africa: Market Size By Country, 2016–2023 (USD Million)
Table 77 New Product Launches and Product Upgradations, 2016–2018
Table 78 Partnerships, Collaborations, and Agreements, 2015–2018
Table 79 Graph Database Market: Acquisitions, 2015–2017


List of Figures (39 Figures)

Figure 1 Graph Database Market Segmentation
Figure 2 Regional Scope
Figure 3 Graph Database Market Research Design
Figure 4 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 5 Data Triangulation
Figure 6 Market Size Estimation Methodology: Bottom-Up Approach
Figure 7 Market Size Estimation Methodology: Top-Down Approach
Figure 8 Graph Database Market: Assumptions
Figure 9 Global Graph Database Market is Expected to Witness Significant Growth During the Forecast Period
Figure 10 Market Snapshot By Component (2018 vs 2023)
Figure 11 Market Snapshot By Service (2018 vs 2023)
Figure 12 Market Snapshot By Type (2018 vs 2023)
Figure 13 Market Snapshot By Application (2018 vs 2023)
Figure 14 Market Snapshot By Deployment Type (2018 vs 2023)
Figure 15 Market Snapshot By Organization Size (2018 vs 2023)
Figure 16 Market Snapshot By Industry Vertical (2018 vs 2023)
Figure 17 The Increasing Need for Better Response Time and Accuracy to Discover New Data Correlations is Expected to Drive the Growth of the Graph Database Market
Figure 18 North America is Estimated to Have the Largest Market Share in 2018
Figure 19 Banking, Financial Services, and Insurance Industry Vertical and North American Region are Estimated to Have the Largest Market Shares in 2017
Figure 20 Best Market to Invest In, By Region, 2018
Figure 21 Graph Database Market: Drivers, Restraints, Opportunities, and Challenges
Figure 22 Property Segment is Expected to Grow at A Higher During the Forecast Period
Figure 23 Recommendation Engines Application is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 24 Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 25 Managed Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 26 Support and Maintenance Services Segment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 27 Cloud Deployment Type is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 28 Small and Medium-Sized Enterprises are Expected to Grow at A Higher CAGR During the Forecast Period
Figure 29 Banking, Financial Services, and Insurance Industry Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 30 North America: Graph Database Market Snapshot
Figure 31 Asia Pacific: Graph Database Market Snapshot
Figure 32 Key Developments By the Leading Players in the Graph Database Market, 2017–2018
Figure 33 IBM: Company Snapshot
Figure 34 Microsoft: Company Snapshot
Figure 35 Oracle: Company Snapshot
Figure 36 AWS: Company Snapshot
Figure 37 Teradata Corporation: Company Snapshot
Figure 38 Mongodb: Company Snapshot
Figure 39 Cray: Company Snapshot


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TC 6341
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