Graph Database Market

Graph Database Market by Type (RDF and Property Graph), Application (Recommendation Engines, Fraud Detection, Risk and Compliance Management), Component (Tools and Services), Deployment Mode, Industry Vertical, and Region - Global Forecast to 2024

Report Code: TC 6341 Sep, 2019, by marketsandmarkets.com

[163 Pages Report] The graph database market size is expected to grow from USD 1.0 billion in 2019 to USD 2.9 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 22.2% during the forecast period. The major growth drivers of the graph database market include excellent real-time big data mining with visualizations of results, growing demand for systems’ capability of processing low latency queries, and the adoption of Artificial Intelligence (AI)-based graph database tools and services.

Graph Database Market

Selected Market Dynamics in Graph Database Market

Excellent real-time big data mining with visualization of results to drive the market

Graph database is designed to handle the relationships between complex and constantly changing data, to extract insights in real time, to deliver instantly actionable insights and superior experiences. It is deployed for customers to enable accurate decision-making processes in real time. Furthermore, it ensures customers can focus on the matters they want to prioritize. Graph database eases the distribution of any data across data centers or cloud regions, making business applications always-on, ready to scale, and able to create real-time insights and experiences. Moreover, it helps display insights through data visualizations and provides a real-time prediction for streaming data. Hence, the graph database is used to enhance business process, improve decision-making, and achieve the ability to automate, optimize, and direct decisions as per demands to reach set business goals. Companies that understand the importance of graph database are prioritizing the need to engage customers with their brands and monitor the customer’s thought process about the same. The growing consensus toward graph database is the most direct path to extract business decisions from the value found in the data.

Lack of standardization and programming ease

While graph databases are technically NoSQL databases, in practice, they cannot be implemented across a low-cost cluster, but have to run on a single machine. This is the reason behind the rapid performance degradation across a network. Another potential drawback is that developers have to write their queries using Java as there is no Standard Query Language (SQL) to retrieve data from graph databases, which means employing expensive programmers or developers use SparcQL or one of the other query languages that have been developed to support graph databases, but this means learning a new skill. This results in the lack of standardization and programming ease of graph database systems. There are visualization tools available for graph databases but they are relatively still in the developing stage.

Tools segment to hold a larger market size during the forecast period

The graph database market by component covers tools and services. Graph database tools are becoming prevalent among data-sensitive organizations to cope with the ever-increasing volumes of data. These organizations need to manage their data efficiently and effectively to enhance their productivity and maintain business continuity. The proliferation of data amounting to big data has forced vendors to design graph database software and help Information Technology (IT) teams simplify and manage their decision-making process.

Support and maintenance segment to grow at the highest CAGR during the forecast period

Organizations that seek support and maintenance services from third-party vendors expect a high-level of customer satisfaction, along with improved and rapid support, resulting in healthier margins, improved efficiency, and an optimized workforce with low attrition. Support and maintenance services provide technical support, repair and exchange services, field maintenance, and proactive services, thereby bringing about an improved performance while also being able to reduce the overall capital expenditure and operational expenditure.

Large enterprises to boost the adoption of graph database tools

Organizations with more than 1,000 employees are categorized as large enterprises. Large enterprises generate huge volumes of data every year, and these data volumes need to be effectively managed and governed to comply with government regulations. Graph database tools and services are adopted majorly by the large enterprises, as the tools and services effectively and intuitively provide insights into their data, which, in turn, would help enterprises in assessing the data handling capability. The implementation of these tools and services in large enterprises simplifies risk and compliance management tasks.

Graph Database Market

North America to account for the largest market size during the forecast period

The global graph database market by region covers 5 major geographic regions, namely, North America, Asia Pacific (APAC), Europe, Middle East and Africa (MEA), and Latin America. North America is expected to account for the largest market size during the forecast period. The adoption of graph database solutions is expected to be the highest in North America, as compared to the other regions. This is due to the increasing number of manufacturing firms, proliferation of Internet of Things (IoT) devices, and emergence of AI. The adoption of graph database tools is expected to increase 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.

Key Graph Database Market Players

The graph database market comprises major solution providers, such as IBM (US), Microsoft (US), Oracle (US), AWS (US), Neo4j (US), OrientDB (UK), TIBCO (US), Franz (US),  OpenLink Software (US), MarkLogic (US), TigerGraph (US), DataStax (US), Ontotext (Bulgaria), Stardog (US), Cray (US), ArangoDB (US), Bitnine (US), Objectivity (US), Memgraph (UK), Cambridge Semantics (US), Fluree (US), and Blazegraph (US).

The study includes an in-depth competitive analysis of these key players in the graph database market with their company profiles, recent developments, and key market strategies.

Scope of the report

Report Metric

Details

Market size available for years

2017–2024

Base year considered

2018

Forecast period

2019–2024

Forecast units

Million (USD)

Segments covered

Component, Application, Type, Deployment Mode, Organization Size, Industry Vertical, and Region

Geographies covered

North America, APAC, Europe, Latin America, and MEA

Companies covered

IBM (US), Microsoft (US), Oracle (US), AWS (US), Neo4j (US), OrientDB (UK), TIBCO (US), Franz (US),  OpenLink Software (US), MarkLogic (US), TigerGraph (US), DataStax (US), Ontotext (Bulgaria), Stardog (US), Cray (US), ArangoDB (US), Bitnine (US), Objectivity (US), Memgraph (UK), Cambridge Semantics (US), Fluree (US), and Blazegraph (US)

This research report categorizes the graph database market based on component, application, type, deployment model, organization size, vertical, and region.

Based on the Components, the graph database market has been segmented as follows:

  • Tools
  • Services
    • Managed Services
    • Professional Services
      • Support and Maintenance Services
      • Consulting Services
      • Deployment and Integration Services

Based on Applications, the Graph Database market has been segmented as follows:

  • Customer Analytics
  • Risk and Compliance Management
  • Fraud Detection
  • Supply Chain Management
  • Recommendation Engines
  • Others

Based on Type, the graph database market has been segmented as follows:

  • Resource Description Framework
  • Property Graph

Based on Deployment Mode, the graph database market has been segmented as follows:

  • On-premises
  • Cloud

Based on Organization sizes, the graph database market has been segmented as follows:

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

Based on Industry Verticals, the graph database market has been segmented as follows:

  • Banking, Financial Services and Insurance (BFSI)
  • Telecom and Information Technology (IT)
  • Retail and eCommerce
  • Healthcare and Life Sciences
  • Manufacturing
  • Government and Public
  • Transportation and Logistics
  • Others

Based on Regions, the graph database market has been segmented as follows:

  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • APAC
    • China
    • Japan
    • Australia and New Zealand
    • Rest of APAC
  • MEA
    • KSA
    • UAE
    • Qatar
    • South Africa
    • Rest of MEA
  • Latin America
    • Mexico
    • Brazil
    • Rest of Latin America

Recent Developments:

  • In July 2019, Neo4j partnered with Thales to provide a next-level experience to customers. Under this partnership, the companies will integrate their products, Neo4j Enterprise Edition and Thales Vormetric Transparent Encryption to offer data-at-rest encryption.   

Key Questions Addressed by the Report:

  • What are the opportunities in the graph database market?
  • What is the competitive landscape in the market?
  • What are the emerging technologies impacting the overall market?
  • What are the key use cases existing in the market?
  • What are the key trends and dynamics existing in the market?

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

Table of Contents

1 Introduction (Page No. - 20)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Market Segmentation
    1.4 Years Considered for the Study
    1.5 Currency Considered
    1.6 Stakeholders

2 Research Methodology (Page No. - 23)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakup of Primary Profiles
                    2.1.2.2 Key Industry Insights
    2.2 Market Breakup and Data Triangulation
    2.3 Market Size Estimation
           2.3.1 Top-Down Approach
           2.3.2 Bottom-Up Approach
    2.4 Market Forecast
    2.5 Competitive Leadership Mapping Research Methodology
           2.5.1 Vendor Inclusion Criteria
    2.6 Assumptions for the Study
    2.7 Limitations of the Study

3 Executive Summary (Page No. - 31)

4 Premium Insights (Page No. - 36)
    4.1 Attractive Market Opportunities in the Graph Database Market
    4.2 Market Top 3 Applications

5 Graph Database Market Overview and Industry Trends (Page No. - 38)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Excellent Real-Time Big Data Mining With Visualization of Results to Drive the Market
                    5.2.1.2 Growing Demand for Systems That Can Process Low-Latency Queries
                    5.2.1.3 Adoption of Ai-Based Graph Database Tools and Services to Drive the Market
           5.2.2 Restraints
                    5.2.2.1 Lack of Standardization and Programming Ease
           5.2.3 Opportunities
                    5.2.3.1 Need to Identify Complex Patterns at Maximum Scale Gaining Traction
                    5.2.3.2 Rapid Use of Virtualization for Big Data Analytics
           5.2.4 Challenges
                    5.2.4.1 Lack of Technical Expertise
    5.3 Industry Trends
           5.3.1 Use Cases
           5.3.2 Use Case: Scenario 1
           5.3.3 Use Case: Scenario 2
           5.3.4 Use Case: Scenario 3
           5.3.5 Use Case: Scenario 4
           5.3.6 Use Case: Scenario 5
    5.4 Regulatory Implications
           5.4.1 General Data Protection Regulation
           5.4.2 Health Insurance Portability and Accountability Act of 1996
           5.4.3 Basel Committee on Banking Supervision 239 Compliance
           5.4.4 Sarbanes-Oxley Act of 2002

6 Graph Database Market By Type (Page No. - 47)
    6.1 Introduction
    6.2 Resource Description Framework
           6.2.1 Demand for Intelligent Data Management Solutions to Drive the Growth of RDF in the Market
    6.3 Property Graph
           6.3.1 Increasing Demand to Find Relationships Among Numerous Entities to Boost the Property Graph Segment Growth

7 Graph Database Market By Component (Page No. - 50)
    7.1 Introduction
    7.2 Tools
           7.2.1 Demand to Harness Precise and In-Depth Data Connections to Drive the Adoption of Graph Database Tools
    7.3 Services
           7.3.1 Managed Services
                    7.3.1.1 Increasing Need for Monitoring and Maintaining Tool Operations and Reducing Overhead Costs to Drive the Growth of Managed Services in the Market
           7.3.2 Professional Services
                    7.3.2.1 Consulting Services
                               7.3.2.1.1 Technicalities Involved in Implementing Graph Database Tools and Services to Boost the Growth of Consulting Services
                    7.3.2.2 Deployment and Integration Services
                               7.3.2.2.1 Growing Need to Overcome System-Related Issues Effectively to Drive Deployment and Integration Services
                    7.3.2.3 Support and Maintenance Services
                               7.3.2.3.1 Growing Deployment of Graph Database Software to Drive the Demand for Support and Maintenance Services

8 Graph Database Market By Application (Page No. - 56)
    8.1 Introduction
    8.2 Customer Analytics
           8.2.1 Growing Demand to Understand Customer Buying Behavior for Key Business Decisions to Drive the Graph Database Market
    8.3 Risk and Compliance Management
           8.3.1 Demand to Secure Customers’ Data and Meet Stringent Regulatory Compliance to Pave the Way for the Adoption of Graph Database
    8.4 Recommendation Engines
           8.4.1 Increasing Need to Provide Efficient, Accurate, and Personalized Services to Retain the Customers and Enhance Their Shopping Experience
    8.5 Fraud Detection
           8.5.1 Growing Focus on Mitigating Risks and Reducing Loss to Drive the Adoption of Graph Database Tools and Services
    8.6 Supply Chain Management
           8.6.1 Demand to Track Inventory Levels and Shipments to Fuel the Growth of Graph Database Tools and Services in Supply Chain Management
    8.7 Others

9 Graph Database Market By Deployment Mode (Page No. - 61)
    9.1 Introduction
    9.2 Cloud
           9.2.1 Cost-Effectiveness and Scalability of Cloud Deployment to Boost Its Growth
    9.3 On-Premises
           9.3.1 Data-Sensitive Organizations Preferring the On-Premises Deployment Mode for Graph Database Tools

10 Graph Database Market By Organization Size (Page No. - 64)
     10.1 Introduction
     10.2 Small and Medium-Sized Enterprises
             10.2.1 Availability of Viable Cloud-Based, Cost-Effective Solutions to Drive the Adoption of Graph Database in Small and Medium-Sized Enterprises
     10.3 Large Enterprises
             10.3.1 Growing Demand to Analyze Voluminous Business Data to Drive the Adoption of Graph Database in Large Enterprises

11 Graph Database Market By Industry Vertical (Page No. - 67)
     11.1 Introduction
     11.2 Banking, Financial Services, and Insurance
             11.2.1 Growing Focus on Financial Standards and Compliance With Regulations to Drive the Market in the BFSI Industry Vertical
     11.3 Telecom and It
             11.3.1 Increasing Demand to Provide Improved Services for A Growing Customer Base to Boost the Adoption of the Market in the Telecom and It Industry Vertical
     11.4 Retail and eCommerce
             11.4.1 Growing Demand to Identify Customer Behavior in Real Time to Fuel the Growth of the Market in the Retail and eCommerce Industry Vertical
     11.5 Healthcare and Life Sciences
             11.5.1 Growing Demand to Achieve Better Patient Experience and Personalized Treatment in Real Time to Fuel the Growth of the Graph Database Market in the Healthcare and Life Sciences Industry Vertical
     11.6 Manufacturing
             11.6.1 Growing Need to Extend the Lifespan of Factory Equipment and Reduce the Risk of Production Delays to Fuel the Growth of the Graph Database Application in the Manufacturing Industry Vertical
     11.7 Government and Public Sector
             11.7.1 Growing Demand for Enhanced Data Security and Advanced Intelligence to Drive the Market in Government and Public Sector
     11.8 Transportation and Logistics
             11.8.1 Increasing Need to Gain Complete and Real-Time Visibility Into Operations to Minimize Risks Driving the Market in the Transportation and Logistics Industry Vertical
     11.9 Others

12 Graph Database Market By Region (Page No. - 74)
     12.1 Introduction
     12.2 North America
             12.2.1 United States
                        12.2.1.1 Government’s Focus on Innovation and Research to Fuel the Adoption of Graph Database Software in the US
             12.2.2 Canada
                        12.2.2.1 Increase in Investments and Research Activities to Drive Graph Database Software and Services Adoption in Canada
     12.3 Europe
             12.3.1 United Kingdom
                        12.3.1.1 Government Focus on Innovation and Research to Fuel the Adoption of Graph Database Software in the UK
             12.3.2 Germany
                        12.3.2.1 Growing Investments By Tech-Giants to Provide Opportunities for the Development of Graph Database Software
             12.3.3 France
                        12.3.3.1 Focus on R&D and Heavy Inflow of Capital From Global Players and Investors to Drive the Market Growth in France
             12.3.4 Rest of Europe
     12.4 Asia Pacific
             12.4.1 China
                        12.4.1.1 Increasing Focus on Integrating AI and Deep Learning Technologies to Drive the Adoption of Graph Database Software in China
             12.4.2 Japan
                        12.4.2.1 Existing Market and Already Adopted Technology to Boost the Market in Japan
             12.4.3 Australia and New Zealand
                        12.4.3.1 Growth in Infrastructure Developments and Adoption of Connected Devices to Act as A Driving Factor for the Graph Database Market in Anz
             12.4.4 Rest of APAC
     12.5 Middle East and Africa
             12.5.1 United Arab Emirates
                        12.5.1.1 Advanced Analytics, Coupled With AI Adoption, to Drive the Market in the UAE
             12.5.2 Qatar
                        12.5.2.1 Increasing R&D to Instigate the Need for Graph Database Technology in Qatar
             12.5.3 Kingdom of Saudi Arabia
                        12.5.3.1 Government Initiatives and Investments to Drive the Adoption of the Market in KSA
             12.5.4 South Africa
                        12.5.4.1 Transformation in the Overall Infrastructure Industry to Boost the Adoption of Graph Database Tools in South Africa
             12.5.5 Rest of Middle East and Africa
     12.6 Latin America
             12.6.1 Brazil
                        12.6.1.1 Investments By Multinational Companies to Drive the Market Growth in Brazil
             12.6.2 Mexico
                        12.6.2.1 Government Initiatives and Increasing Demand for Graph Database Software and Services to Trigger the Market Growth in Mexico
             12.6.3 Rest of Latin America

13 Competitive Landscape (Page No. - 108)
     13.1 Competitive Leadership Mapping
             13.1.1 Visionary Leaders
             13.1.2 Innovators
             13.1.3 Dynamic Differentiators
             13.1.4 Emerging Companies
     13.2 Strength of Product Portfolio
     13.3 Business Strategy Excellence

14 Company Profiles (Page No. - 112)
     14.1 IBM
(Business Overview, Solutions, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
     14.2 Oracle
     14.3 Microsoft
     14.4 AWS
     14.5 Neo4j
     14.6 OrientDB
     14.7 TIBCO
     14.8 Teradata
     14.9 Franz
     14.10 OpenLink Software
     14.11 MarkLogic
     14.12 TigerGraph
     14.13 Cray
     14.14 DataStax
     14.15 Ontotext
     14.16 Stardog
     14.17 ArangoDB
     14.18 Bitnine
     14.19 Objectivity
     14.20 Cambridge Semantics
     14.21 Fluree
     14.22 Blazegraph
     14.23 Memgraph

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

15 Appendix (Page No. - 155)
     15.1 Discussion Guide
     15.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
     15.3 Available Customizations
     15.4 Related Reports
     15.5 Author Details


List of Tables (57 Tables)

Table 1 Factor Analysis
Table 2 Evaluation Criteria
Table 3 Global Graph Database Market Size and Growth Rate, 2017–2024 (USD Million, Y-O-Y %)
Table 4 Market Size By Type, 2017–2024 (USD Million)
Table 5 Market Size By Component, 2017–2024 (USD Million)
Table 6 Services: Market Size By Service Type, 2017–2024 (USD Million)
Table 7 Professional Services Market Size, By Type, 2017–2024 (USD Million)
Table 8 Graph Database Market Size, By Application, 2017–2024 (USD Million)
Table 9 Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 10 Market Size By Organization Size, 2017–2024 (USD Million)
Table 11 Market Size By Industry Vertical, 2017-2024 (USD Million)
Table 12 Market Size By Region, 2017–2024 (USD Million)
Table 13 North America: Graph Database Market Size, By Component, 2017–2024 (USD Million)
Table 14 North America: Market Size By Service, 2017–2024 (USD Million)
Table 15 North America: Market Size By Professional Service, 2017–2024 (USD Million)
Table 16 North America: Market Size By Application, 2017–2024 (USD Million)
Table 17 North America: Market Size By Type, 2017–2024 (USD Million)
Table 18 North America: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 19 North America: Market Size By Organization Size, 2017–2024 (USD Million)
Table 20 North America: Market Size By Industry Vertical, 2017–2024 (USD Million)
Table 21 North America: Market Size By Country, 2017–2024 (USD Million)
Table 22 Europe: Graph Database Market Size, By Component, 2017–2024 (USD Million)
Table 23 Europe: Market Size By Service, 2017–2024 (USD Million)
Table 24 Europe: Market Size By Professional Service, 2017–2024 (USD Million)
Table 25 Europe: Market Size By Application, 2017–2024 (USD Million)
Table 26 Europe: Market Size By Type, 2017–2024 (USD Million)
Table 27 Europe: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 28 Europe: Market Size By Organization Size, 2017–2024 (USD Million)
Table 29 Europe: Market Size By Industry Vertical, 2017–2024 (USD Million)
Table 30 Europe: Market Size By Country, 2017–2024 (USD Million)
Table 31 Asia Pacific: Graph Database Market Size, By Component, 2017–2024 (USD Million)
Table 32 Asia Pacific: Market Size By Service, 2017–2024 (USD Million)
Table 33 Asia Pacific: Market Size By Professional Service, 2017–2024 (USD Million)
Table 34 Asia Pacific: Market Size By Application, 2017–2024 (USD Million)
Table 35 Asia Pacific: Market Size By Type, 2017–2024 (USD Million)
Table 36 Asia Pacific: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 37 Asia Pacific: Market Size By Organization Size, 2017–2024 (USD Million)
Table 38 Asia Pacific: Market Size By Industry Vertical, 2017–2024 (USD Million)
Table 39 Asia Pacific: Market Size By Country, 2017–2024 (USD Million)
Table 40 Middle East and Africa: Graph Database Market Size, By Component, 2017–2024 (USD Million)
Table 41 Middle East and Africa: Market Size By Service, 2017–2024 (USD Million)
Table 42 Middle East and Africa: Market Size By Professional Service, 2017–2024 (USD Million)
Table 43 Middle East and Africa: Market Size By Application, 2017–2024 (USD Million)
Table 44 Middle East and Africa: Market Size By Type, 2017–2024 (USD Million)
Table 45 Middle East and Africa: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 46 Middle East and Africa: Market Size By Organization Size, 2017–2024 (USD Million)
Table 47 Middle East and Africa: Market Size By Industry Vertical, 2017–2024 (USD Million)
Table 48 Middle East and Africa: Market Size By Country, 2017–2024 (USD Million)
Table 49 Latin America: Graph Database Market Size, By Component, 2017–2024 (USD Million)
Table 50 Latin America: Market Size By Service, 2017–2024 (USD Million)
Table 51 Latin America: Market Size By Professional Service, 2017–2024 (USD Million)
Table 52 Latin America: Market Size By Application, 2017–2024 (USD Million)
Table 53 Latin America: Market Size By Type, 2017–2024 (USD Million)
Table 54 Latin America: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 55 Latin America: Market Size By Organization Size, 2017–2024 (USD Million)
Table 56 Latin America: Market Size By Industry Vertical, 2017–2024 (USD Million)
Table 57 Latin America: Market Size By Country, 2017–2024 (USD Million)


List of Figures (46 Figures)

Figure 1 Graph Database Market: Research Design
Figure 2 Breakup of Primary Interviews: By Company, Designation, and Region
Figure 3 Market: Top-Down and Bottom-Up Approaches
Figure 4 Market Snapshot By Component
Figure 5 Market Snapshot By Type
Figure 6 Market Snapshot By Service
Figure 7 Market Snapshot By Professional Service
Figure 8 Market Snapshot By Deployment Mode
Figure 9 Market Snapshot By Organization Size
Figure 10 Graph Database Market Snapshot, By Application
Figure 11 Growing Demand for Systems That Can Process Low-Latency Queries to Drive the Overall Growth of the Graph Database Market During the Forecast Period
Figure 12 Supply Chain Management Application to Grow at the Highest CAGR During the Forecast Period
Figure 13 Market Snapshot By Industry Vertical
Figure 14 Market Snapshot By Region
Figure 15 Drivers, Restraints, Opportunities, and Challenges: Graph Database Market
Figure 16 Property Graph Segment to Grow at A Higher CAGR During the Forecast Period
Figure 17 Services Segment to Grow at A Higher CAGR During the Forecast Period
Figure 18 Managed Services Segment to Grow at A Higher CAGR During the Forecast Period
Figure 19 Support and Maintenance Services Segment to Grow at the Highest CAGR During the Forecast Period
Figure 20 Supply Chain Management Segment to Witness the Highest CAGR During the Forecast Period
Figure 21 Cloud Segment to Witness A Higher CAGR During the Forecast Period
Figure 22 Small and Medium-Sized Enterprises Segment to Grow at A Higher CAGR During the Forecast Period
Figure 23 Healthcare and Life Sciences Industry Vertical to Witness the Highest CAGR During the Forecast Period
Figure 24 North America to Account for the Largest Market Size During the Forecast Period
Figure 25 Qatar to Account for the Highest CAGR During the Forecast Period
Figure 26 Asia Pacific to Account for the Highest CAGR During the Forecast Period
Figure 27 North America: Market Snapshot
Figure 28 APAC to Grow at the Highest CAGR During the Forecast Period
Figure 29 Supply Chain Management Segment to Grow at the Highest CAGR During the Forecast Period in Europe
Figure 30 Asia Pacific: Market Snapshot
Figure 31 Supply Chain Management Segment to Grow at the Highest CAGR During the Forecast Period in Asia Pacific
Figure 32 Supply Chain Management Segment to Grow at the Highest CAGR During the Forecast Period in the Middle East and Africa
Figure 33 Supply Chain Management Segment to Grow at the Highest CAGR During the Forecast Period in Latin America
Figure 34 Graph Database Market (Global) Competitive Leadership Mapping, 2019
Figure 35 IBM: Company Snapshot
Figure 36 IBM: SWOT Analysis
Figure 37 Oracle: Company Snapshot
Figure 38 Oracle: SWOT Analysis:
Figure 39 Microsoft: Company Snapshot
Figure 40 Microsoft: SWOT Analysis
Figure 41 AWS: Company Snapshot
Figure 42 AWS: SWOT Analysis
Figure 43 Neo4j: SWOT Analysis
Figure 44 Orientdb: SWOT Analysis
Figure 45 Teradata: Company Snapshot
Figure 46 Cray: Company Snapshot

The study involved 4 major activities in estimating the current market size of graph database tools and services. An exhaustive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with the industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, market breakup and data triangulation were used to estimate the market size of segments and subsegments.

Secondary Research

In the secondary research process, various secondary sources, such as Bloomberg and BusinessWeek, have been referred for, to identify and collect information for this study. The secondary sources included annual reports, press releases, and investor presentations of companies; white papers; journals; and certified publications and articles from recognized authors, directories, and databases.

Primary Research

Various primary sources from both the supply and demand sides of the graph database market ecosystem were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply-side included industry experts, such as Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), Chief Operating Officers (COOs), Vice Presidents (VPs), Managing Directors (MDs), technology and innovation directors, and related key executives from various key companies and organizations operating in the graph database market, associated service providers, and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. Following is the breakup of primary respondents:

Graph Database Market

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

Graph Database Market Size Estimation

For making market estimates and forecasting the graph database market and the other dependent submarkets, the top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global graph database market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the market have been identified through extensive secondary research.
  • The market size, in terms of value, has been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakups have been determined using secondary sources and verified through primary sources.

Data Triangulation

With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using this study. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report Objectives

  • To define, describe, and forecast the graph database market by component (tools and services), application, type, deployment mode, organization size, industry vertical, and region
  • To provide detailed information about the major factors (drivers, opportunities, restraints, and challenges) influencing the growth of the graph database market
  • To analyze micromarkets with respect to individual growth trends, prospects, and contributions to the total market
  • To analyze the opportunities in the market for stakeholders by identifying high-growth segments of the graph database market
  • To forecast the market size of the market segments with respect to the 5 main regions, namely, North America, Europe, Middle East and Africa (MEA), Asia Pacific (APAC), and Latin America
  • To profile the key players of the graph database market and comprehensively analyze their market size and core competencies in the market
  • To track and analyze the competitive developments, such as new product launches; mergers and acquisitions; and partnerships, agreements, and collaborations, in the global graph database market

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 up to 5

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Report Code
TC 6341
Published ON
Sep, 2019
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