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 base year for this report is 2018, while the forecast period is 2019–2024. 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 is driving the growth of market. Moreover, need to identify complex patterns at maximum scale gaining traction, and rapid use of virtualization for big data analytics are expected to offer opportunities in this market. However, lack of standardization and programming ease are the factors hindering the growth of the market. The objective of the report is to define, describe, and forecast the graph database market trends based on component, application, type, deployment mode, organization size, industry vertical, and region. The report provides detailed information related to the major factors, such as drivers, restraints, opportunities, and challenges, influencing the market growth.

Graph Database Market

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.

Banking, Financial Services and Insurance industry vertical expected to hold the largest market size throughout the forecast period

Graph database has a wide variety of applications in the Banking, Financial Services and Insurance (BFSI) industry vertical, such as fraud detection, cash flow analysis, and transaction analysis. Banks and other financial institutions are prone to frauds, such as fraudsters demanding loans, credit cards, and unsecured bank credits with no intention of paying them back. In such cases, graph database tools and services help the bank detect and reduce the occurrence of such frauds. Moreover, 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.

Graph Database Market

North America is expected to dominate the graph database market during the forecast period

North America is expected to account for the largest market size, owing to the early adoption of graph database tools as well as prominent initiatives taken by industry players in the form of partnerships with different technology players to offer rapid analytics and data processing solutions. The major presence of graph database vendors as well as the widespread awareness about these solutions would continue to help the region sustain its largest market size during the forecast period.

Graph Database Market Dynamics

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 must 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.

Need to identify complex patterns at maximum scale is gaining traction

Organizations are beginning to take a deeper look at capturing data about continuous flowing data. The ability of organizations to act as soon as events are generated, improves operational responsiveness and organizational effectiveness. Integration of businesses with graph database tools and services provides flexibility to apply rich context to the events as they occur. Graph database can be used to improve operational efficiencies, reduce infrastructure costs, and provide faster insights and actions. Organizations in every industry have data available from applications, social media, sensors, devices, and websites. Analyzing this data in real time, rather than storing and analyzing it later, can provide critical, actionable insights in many operational and functional areas. Essentially, a graph database is all about extracting business value from data in motion, the same way traditional analytics tools make use of data at rest. Furthermore, a graph database should be a general-purpose solution that can be integrated with or embedded into other applications. Tight integration is required if the results derived are used to make real-time decisions or to take actions regarding customer service, security or fraud prevention, and product recommendations.

Rapid use of virtualization for big data analytics

Organizations intend to understand the impact of possible threats that could hamper their businesses. Moreover, organizations emphasize the betterment of their operations by being able to detect threats earlier and reduce the impact of the risk. To tackle this issue, a graphical representation of the analyzed information has been found as a suitable alternative. Graphical representation of data helps in finding the hidden relationships between data sets. Technological evolutions have resulted in increased awareness among users from various industry verticals. The adoption of technologies has been aiding in the explosion of data, and this has led it to be a vulnerable asset for any data-intensive organization. It has also become vital for SMEs and large enterprises to manage and secure their data to formulate more customer-centric business strategies. Moreover, owing to the availability of graph database software, organizations can securely utilize their data across any global location. Additionally, the virtualization of data analytics for threat detection, risk assessment, and decision-making helps users understand the significance of graphically representing their data. Large enterprises, such as banking and financial institutions and online retail stores, are more likely to leverage the advantages of data analytics, as they deal with huge customers data.

Scope of the Graph Database Market 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 Regions

Geographies covered

North America, Europe, APAC, 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)

The research report categorizes the graph database market to forecast the revenues and analyze the trends in each of the following sub-segments:

By component

  • Tool
  • Service
    • Managed services
    • Professional services
      • Consulting services
      • Deployment and integration services
      • Support and maintenance services

By application

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

By Type

  • Resource Description Framework
  • Property Graph

By Deployment Mode

  • On-premises
  • On-demand

By organization size

  • Large enterprises
  • Small and Medium Enterprises (SMEs)

By industry vertical

  • 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

By Region

  • North America
  • Europe
  • Asia Pacific (APAC)
  • Latin America
  • Middle East and Africa (MEA)

Key Market Players

The graph database vendors have implemented various types of organic as well as inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions, to strengthen their offerings in the market. The graph database ecosystem comprises vendors, 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.

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.   
  • In January 2018, Oracle partnered with DataStax. The partnership involves the integration of DataStax Enterprise (DSE) Graph with Oracle’s managed services environment.
  • In August 2019, IBM announced the first release of Python SDK and Node.js SDK for interacting with IBM’s Cloud Security Advisor service findings Application Programming Interface (API) to accelerate the customers’ platform integration with the service
  • In August 2019, Microsoft announced the launch of the second-generation HB-series (HBv2) Azure Virtual Machines for High-Performance Computing (HPC). It is designed to deliver leadership-class performance, Message Passing Interface (MPI) scalability, and cost efficiency for a variety of real-world HPC workloads
  • In January 2019, AWS has expanded its Amazon Neptune to the Australian market, allowing users to use advanced database for complex data relationships.
  • Franz has added Shapes Constraint Language (SHACL), a World Wide Web Consortium (W3C) into its graph database solution. This will help to validate the graph-based data against a set of parameters.
  • TIBCO released the TIBCO graph Database version 1.1.1. The solution supports fault-tolerant operations by configuring a pair of servers. The first server turns into the active state and the other server turns into the standby state. The active server accepts client connections.

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 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

Geographic analysis

  • Further breakup of the North American graph database market
  • Further breakup of the European market
  • Further breakup of the APAC market
  • Further breakup of the Latin American market
  • Further breakup of the MEA market

Company Information

  • Detailed analysis and profiling of additional market players up to 5

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

Table of Contents

1 Introduction
    1.1 Objective of Report
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Markets Covered
    1.4 Years Considered for the Study
    1.5 Currency Considered 
    1.6 Stakeholders

2 Research Methodology
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.1.2 Breakup of Primary Profiles
                    2.1.1.3 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

4 Premium Insights
    4.1 Attractive Market Opportunities in the Graph Database Market
    4.2 Market Top 3 Applications

5 Graph Database Market - Startup Scenario
    5.1 Startup Company Analysis By
           5.1.1 Global Footprint
           5.1.2 Revenue
           5.1.3 Market Ranking/Share Interval
           5.1.4 Venture Capital and Funding Scenario

6 Graph Database Market Overview and Industry Trends
    6.1 Introduction 
    6.2 Market Dynamics
           6.2.1 Drivers
                    6.2.1.1 Excellent Real-Time Big Data Mining With Visualization of Results to Drive the Market
                    6.2.1.2 Growing Demand for Systems That Can Process Low-Latency Queries
                    6.2.1.3 Adoption of Ai-Based Graph Database Tools and Services to Drive the Market
           6.2.2 Restraints
                    6.2.2.1 Lack of Standardization and Programming Ease
           6.2.3 Opportunities
                    6.2.3.1 Need to Identify Complex Patterns at Maximum Scale Gaining Traction
                    6.2.3.2 Rapid Use of Virtualization for Big Data Analytics
           6.2.4 Challenges
                    6.2.4.1 Lack of Technical Expertise
    6.3 Industry Trends
           6.3.1 Use Cases
           6.3.2 Use Case: Scenario 1
           6.3.3 Use Case: Scenario 2
           6.3.4 Use Case: Scenario 3
           6.3.5 Use Case: Scenario 4
           6.3.6 Use Case: Scenario 5
    6.4 Regulatory Implications
           6.4.1 General Data Protection Regulation
           6.4.2 Health Insurance Portability and Accountability Act of 1996
           6.4.3 Basel Committee on Banking Supervision 239 Compliance
           6.4.4 Sarbanes-Oxley Act of 2002

7 Graph Database Market By Type
    7.1 Introduction
           7.1.1 Market Estimates and Forecasts, 2017-2014(USD Million)
    7.2 Resource Description Framework
           7.2.1 Demand for Intelligent Data Management Solutions to Drive the Growth of RDF in the Market
           7.2.2 Market Estimates and Forecasts, 2017-2014(USD Million)
    7.3 Property Graph
           7.3.1 Increasing Demand to Find Relationships Among Numerous Entities to Boost the Property Graph Segment Growth
           7.3.2 Market Estimates and Forecasts, By Region, 2017-2014(USD Million)

8 Graph Database Market By Component
    8.1 Introduction
           8.1.1 Market Estimates and Forecasts, 2017-2014(USD Million)
    8.2 Tools
    8.3 Services
           8.3.1 Market Estimates and Forecasts, By Region, 2017-2014(USD Million)
           8.3.2 Managed Services
                    8.3.2.1 Market Estimates and Forecasts, By Region2017-2014(USD Million)
           8.3.3 Professional Services
                    8.3.3.1 Market Estimates and Forecasts, 2017-2014(USD Million)
                    8.3.3.2 Market Estimates and Forecasts, By Region, 2017-2014(USD Million)
           8.3.4 Consulting Services
                    8.3.4.1 Market Estimates and Forecasts, By Region, 2017-2014(USD Million)
           8.3.5 Support and Maintenance Services
                    8.3.5.1 Market Estimates and Forecasts, By Region, 2017-2014(USD Million)
           8.3.6 Deployment and Integration Services
                    8.3.6.1 Market Estimates and Forecasts, By Region, 2017-2014(USD Million)

9 Graph Database Market, By Application
    9.1 Introduction
           9.1.1 Market Estimates and Forecasts, 2017-2014(USD Million)
    9.2 Customer Analytics
           9.2.1 Growing Demand to Understand Customer Buying Behavior for Key Business Decisions to Drive the Graph Database Market
           9.2.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
    9.3 Risk and Compliance Management
           9.3.1 Demand to Secure Customers’ Data and Meet Stringent Regulatory Compliance to Pave the Way for the Adoption of Graph Database
           9.3.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
    9.4 Recommendation Engines
           9.4.1 Increasing Need to Provide Efficient, Accurate, and Personalized Services to Retain the Customers and Enhance Their Shopping Experience
           9.4.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
    9.5 Fraud Detection
           9.5.1 Growing Focus on Mitigating Risks and Reducing Loss to Drive the Adoption of Graph Database Tools and Services
           9.5.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
    9.6 Supply Chain Management
           9.6.1 Demand to Track Inventory Levels and Shipments to Fuel the Growth of Graph Database Tools and Services in Supply Chain Management
           9.6.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
    9.7 Others
           9.7.1 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)

10 Graph Database Market By Deployment Mode
     10.1 Introduction
             10.1.1 Market Estimates and Forecasts, 2017-2014(USD Million)
     10.2 Cloud
             10.2.1 Cost-Effectiveness and Scalability of Cloud Deployment to Boost Its Growth
             10.2.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
     10.3 On-Premises
             10.3.1 Data-Sensitive Organizations Preferring the On-Premises Deployment Mode for Graph Database Tools
             10.3.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)

11 Graph Database Market By Organization Size
     11.1 Introduction
             11.1.1 Market Estimates and Forecasts, 2017-2014(USD Million)
     11.2 Small and Medium-Sized Enterprises
             11.2.1 Availability of Viable Cloud-Based, Cost-Effective Solutions to Drive the Adoption of Graph Database in Small and Medium-Sized Enterprises
             11.2.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
     11.3 Large Enterprises
             11.3.1 Growing Demand to Analyze Voluminous Business Data to Drive the Adoption of Graph Database in Large Enterprises
             11.3.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)

12 Graph Database Market By Industry Vertical
     12.1 Introduction
             12.1.1 Market Estimates and Forecasts, 2017-2014(USD Million)
     12.2 Banking, Financial Services, and Insurance
             12.2.1 Growing Focus on Financial Standards and Compliance With Regulations to Drive the Market in the BFSI Industry Vertical
             12.2.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
     12.3 Telecom and It
             12.3.1 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
             12.3.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
     12.4 Retail and eCommerce
             12.4.1 Growing Demand to Identify Customer Behavior in Real Time to Fuel the Growth of the Market in the Retail and eCommerce Industry Vertical
             12.4.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
     12.5 Healthcare and Life Sciences
             12.5.1 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
             12.5.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
     12.6 Manufacturing
             12.6.1 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
             12.6.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
     12.7 Government and Public Sector
             12.7.1 Growing Demand for Enhanced Data Security and Advanced Intelligence to Drive the Market in Government and Public Sector
             10.1.1 11.2.2. Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
     12.8 Transportation and Logistics
             12.8.1 Increasing Need to Gain Complete and Real-Time Visibility Into Operations to Minimize Risks Driving the Market in the Transportation and Logistics Industry Vertical
             12.8.2 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)
     12.9 Others
             12.9.1 Market Estimates and Forecasts, By Region, 2017-2024 (USD Million)

13 Graph Database Market By Region
     13.1 Introduction
     13.2 North America
             13.2.1 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
             13.2.2 Market Estimates and Forecasts By Service, 2017-2024 (USD Million)
             13.2.3 Market Estimates and Forecasts By Professional Service, 2017-2024 (USD Million)
             13.2.4 Market Estimates and Forecasts, By Type, 2017-2024 (USD Million)
             13.2.5 Market Estimates and Forecasts, By Application, 2017-2024 (USD Million)
             13.2.6 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
             13.2.7 Market Estimates and Forecasts, By Organization Size, 2017-2024 (USD Million)
             13.2.8 Market Estimates and Forecasts, By Country, 2017-2024 (USD Million)
                        13.2.8.1 Us
                                     13.2.8.1.1 Government’s Focus on Innovation and Research to Fuel the Adoption of Graph Database Software in the Us
                                     13.2.8.1.2 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.2.8.1.3 Market Estimates and Forecasts, By Deployment Mode , 2017-2024 (USD Million)
                        13.2.6.2 Canada
                                     13.2.8.1.4 Increase in Investments and Research Activities to Drive Graph Database Software and Services Adoption in Canada
                                     13.2.8.1.5 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.2.8.1.6 Market Estimates and Forecasts, By Deployment Mode , 2017-2024 (USD Million)
     13.3 Europe
             13.3.1 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
             13.3.2 Market Estimates and Forecasts By Service, 2017-2024 (USD Million)
             13.3.3 Market Estimates and Forecasts By Professional Service, 2017-2024 (USD Million)
             13.3.4 Market Estimates and Forecasts, By Type, 2017-2024 (USD Million)
             13.3.5 Market Estimates and Forecasts, By Application, 2017-2024 (USD Million)
             13.3.6 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
             13.3.7 Market Estimates and Forecasts, By Organization Size, 2017-2024 (USD Million)
             13.3.8 Market Estimates and Forecasts, By Country, 2017-2024 (USD Million)
                        13.3.8.1 United Kingdom
                                     13.3.8.1.1 Government Focus on Innovation and Research to Fuel the Adoption of Graph Database Software in the Uk
                                     13.3.8.1.2 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.3.8.1.3 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
                        13.3.8.2 Germany
                                     13.3.8.2.1 Growing Investments By Tech-Giants to Provide Opportunities for the Development of Graph Database Software
                        13.3.8.3 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.3.8.3.1 Market Estimates and Forecasts, By Deployment Mode , 2017-2024 (USD Million)
                        13.3.8.4 France
                                     13.3.8.4.1 Focus on R&D and Heavy Inflow of Capital From Global Players and Investors to Drive the Market Growth in France
                                     13.3.8.4.2 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.3.8.4.3 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
                        13.3.8.5 Rest of Europe
                                     13.3.8.5.1 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.3.8.5.2 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
     13.4 Asia Pacific
             13.4.1 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
             13.4.2 Market Estimates and Forecasts By Service, 2017-2024 (USD Million)
             13.4.3 Market Estimates and Forecasts By Professional Service, 2017-2024 (USD Million)
             13.4.4 Market Estimates and Forecasts, By Type, 2017-2024 (USD Million)
             13.4.5 Market Estimates and Forecasts, By Application, 2017-2024 (USD Million)
             13.4.6 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
             13.4.7 Market Estimates and Forecasts, By Organization Size, 2017-2024 (USD Million)
             13.4.8 Market Estimates and Forecasts, By Country, 2017-2024 (USD Million)
                        13.4.8.1 China
                                     13.4.8.1.1 Increasing Focus on Integrating AI and Deep Learning Technologies to Drive the Adoption of Graph Database Software in China
                                     13.4.8.1.2 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.4.8.1.3 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
                        13.4.8.2 Japan
             13.4.9 Existing Market and Already Adopted Technology to Boost the Market in Japan
             13.4.10 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
             13.4.11 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
                        13.4.6.3 Australia and New Zealand
                                     13.4.6.3.1 Growth in Infrastructure Developments and Adoption of Connected Devices to Act as A Driving Factor for the Graph Database Market in Anz
                                     13.4.6.3.2 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.4.6.3.3 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
                        13.4.6.4 Rest of APAC
             13.4.7 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
             13.4.8 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
     13.5 Middle East and Africa
             13.5.1 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
             13.5.2 Market Estimates and Forecasts By Service, 2017-2024 (USD Million)
             13.5.3 Market Estimates and Forecasts By Professional Service, 2017-2024 (USD Million)
             13.5.4 Market Estimates and Forecasts, By Type, 2017-2024 (USD Million)
             13.5.5 Market Estimates and Forecasts, By Application, 2017-2024 (USD Million)
             13.5.6 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
             13.5.7 Market Estimates and Forecasts, By Organization Size, 2017-2024 (USD Million)
             13.5.8 Market Estimates and Forecasts, By Country, 2017-2024 (USD Million)
                        13.5.8.1 United Arab Emirates
                                     13.5.8.1.1 Advanced Analytics, Coupled With AI Adoption, to Drive the Market in the UAE
                                     13.5.8.1.2 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.5.8.1.3 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
                        13.5.8.2 Qatar
                                     13.5.8.2.1 Increasing R&D to Instigate the Need for Graph Database Technology in Qatar
                                     13.5.8.2.2 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.5.8.2.3 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
                        13.5.8.3 Kingdom of Saudi Arabia
                                     13.5.8.3.1 Government Initiatives and Investments to Drive the Adoption of the Market in Ksa
                                     13.5.8.3.2 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.5.8.3.3 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
                        13.5.8.4 South Africa
                                     13.5.8.4.1 Transformation in the Overall Infrastructure Industry to Boost the Adoption of Graph Database Tools in South Africa
                                     13.5.8.4.2 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.5.8.4.3 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
                        13.5.8.5 Rest of Middle East and Africa
                                     13.5.8.5.1 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.5.8.5.2 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
     13.6 Latin America
             13.6.1 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
             13.6.2 Market Estimates and Forecasts By Service, 2017-2024 (USD Million)
             13.6.3 Market Estimates and Forecasts By Professional Service, 2017-2024 (USD Million)
             13.6.4 Market Estimates and Forecasts, By Type, 2017-2024 (USD Million)
             13.6.5 Market Estimates and Forecasts, By Application, 2017-2024 (USD Million)
             13.6.6 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
             13.6.7 Market Estimates and Forecasts, By Organization Size, 2017-2024 (USD Million)
             13.6.8 Market Estimates and Forecasts, By Country, 2017-2024 (USD Million)
                        13.6.8.1 Brazil
                                     13.6.8.1.1 Investments By Multinational Companies to Drive the Market Growth in Brazil
                                     13.6.8.1.2 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.6.8.1.3 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
                        13.6.8.2 Mexico
                                     13.6.8.2.1 Government Initiatives and Increasing Demand for Graph Database Software and Services to Trigger the Market Growth in Mexico
                                     13.6.8.2.2 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.6.8.2.3 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)
                        13.6.8.3 Rest of Latin America
                                     13.6.8.3.1 Market Estimates and Forecasts By Component, 2017-2024 (USD Million)
                                     13.6.8.3.2 Market Estimates and Forecasts, By Deployment Mode, 2017-2024 (USD Million)

14 Competitive Landscape
     14.1 Competitive Leadership Mapping
     14.2 Visionary Leaders
     14.3 Innovators
     14.4 Dynamic Differentiators
     14.5 Emerging Companies
     14.6 Strength of Product Portfolio
     14.7 Business Strategy Excellence

15 Company Profiles
     15.1 IBM
             15.1.1 Business Overview
             15.1.2 Solutions/ Products & Services Offered
             15.1.3 Recent Developments
             15.1.4 SWOT Analysis
             15.1.5 MnM View
     15.2 Oracle
             15.2.1 Business Overview
             15.2.2 Solutions/ Products & Services Offered
             15.2.3 Recent Developments
             15.2.4 SWOT Analysis
             15.2.5 MnM View
     15.3 Microsoft
             15.3.1 Business Overview
             15.3.2 Solutions/ Products & Services Offered
             15.3.3 Recent Developments
             15.3.4 SWOT Analysis
             15.3.5 MnM View
     15.4 AWS
             15.4.1 Business Overview
             15.4.2 Solutions/ Products & Services Offered
             15.4.3 Recent Developments
             15.4.4 SWOT Analysis
             15.4.5 MnM View
     15.5 Neo4j
             15.5.1 Business Overview
             15.5.2 Solutions/ Products & Services Offered
             15.5.3 Recent Developments
             15.5.4 SWOT Analysis
             15.5.5 MnM View
     15.6 Orientdb
     15.7 Tibco
     15.8 Teradata
     15.9 Franz
     15.10 Openlink Software
     15.11 Marklogic
     15.12 Tigergraph
     15.13 Cray
     15.14 Datastax
     15.15 Ontotext
     15.16 Stardog
     15.17 Arangodb
     15.18 Bitnine
     15.19 Objectivity
     15.20 Cambridge Semantics
     15.21 Fluree
     15.22 Blazegraph
     15.23 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.

16 Appendix
     16.1 Discussion Guide
     16.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
     16.3 Available Customizations
     16.4 Related Reports
     16.5 Author Details


List of Tables (124 Tables)

Table 1 United States Dollar Exchange Rate, 2015–2017
Table 2 Factor Analysis
Table 3 Startup Scenario: Global Footprint, 2019
Table 4 Startup Scenario: Revenue, 2019
Table 5 Startup Scenario: Market Ranking/Share Interval, 2019
Table 6 Startup Scenario: Venture Capital/Funding, 2019
Table 7 Graph database Market Size and Growth Rate, 2017-2024 (USD Million, Y-O-Y %)
Table 8 Market Size By Type, 2017–2024 (USD Million)
Table 9 Resource Description Framework: Market Size By Region, 2017-2024 (USD Million)
Table 10 Property Graph: Market Size By Region, 2017-2024 (USD Million)
Table 11 Market Size By Component, 2017–2024 (USD Million)
Table 12 Services: Market Size By Service Type, 2017–2024 (USD Million)
Table 13 Services: Market Size By Region, 2017-2024 (USD Million)
Table 14 Managed Services: Market Size By Region, 2017-2024 (USD Million)
Table 15 Professional Services Market Size, By Type, 2017–2024 (USD Million)
Table 16 Professional Services: Market Size, By Region, 2017–2024 (USD Million)
Table 17 Consulting Services : Market Size, By Region, 2017–2024 (USD Million)
Table 18 Support and Maintenance Services : Market Size, By Region, 2017–2024 (USD Million)
Table 19 Deployment and Integration Services: Market Size, By Region, 2017–2024 (USD Million)
Table 20 Graph Database Market Size, By Application, 2017–2024 (USD Million)
Table 21 Customer Analytics : Market Size, By Region, 2017–2024 (USD Million)
Table 22 Risk and Compliance Management: Market Size, By Region, 2017–2024 (USD Million)
Table 23 Recommendation Engines: Market Size, By Region, 2017–2024 (USD Million)
Table 24 Fraud Detection: Market Size, By Region, 2017–2024 (USD Million)
Table 25 Supply Chain Management: Market Size, By Region, 2017–2024 (USD Million)
Table 26 Others: Market Size, By Region, 2017–2024 (USD Million)
Table 27 Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 28 Cloud: Market Size, By Region, 2017–2024 (USD Million)
Table 29 On-premises: Market Size, By Region, 2017–2024 (USD Million)
Table 30 Market Size By Organization Size, 2017–2024 (USD Million)
Table 31 SMALL and MEDIUM-SIZED ENTERPRISES: Market Size, By Region, 2017–2024 (USD Million)
Table 32 LARGE ENTERPRISES: Market Size, By Region, 2017–2024 (USD Million)
Table 33 Market Size By Industry Vertical, 2017-2024 (USD Million)
Table 34 BANKING, FINANCIAL SERVICES, and INSURANCE: Market Size By Region, 2017-2024 (USD Million)
Table 35 TELECOM and IT: Market Size By Region, 2017-2024 (USD Million)
Table 36 Retail and eCommerce: Market Size By Region, 2017-2024 (USD Million)
Table 37 Healthcare and Life Sciences: Market Size By Region, 2017-2024 (USD Million)
Table 38 Manufacturing: Market Size By Region, 2017-2024 (USD Million)
Table 39 Government and Public Sector: Market Size By Region, 2017-2024 (USD Million)
Table 40 Transportation and Logistics: Market Size By Region, 2017-2024 (USD Million)
Table 41 Others: Market Size By Region, 2017-2024 (USD Million)
Table 42 Market Size By Region, 2017–2024 (USD Million)
Table 43 North America: Graph Database Market Size, By Component, 2017–2024 (USD Million)
Table 44 North America: Market Size By Service, 2017–2024 (USD Million)
Table 45 North America: Market Size By Professional Service, 2017–2024 (USD Million)
Table 46 North America: Market Size By Application, 2017–2024 (USD Million)
Table 47 North America: Market Size By Type, 2017–2024 (USD Million)
Table 48 North America: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 49 North America: Market Size By Organization Size, 2017–2024 (USD Million)
Table 50 North America: Market Size By Industry Vertical, 2017–2024 (USD Million)
Table 51 North America: Market Size By Country, 2017–2024 (USD Million)
Table 52 United States: Graph database Market Size, By Component, 2017-2024 (USD Million)
Table 53 United States: Market Size By Deployment Mode, 2017-2024 (USD Million)
Table 54 Canada: Graph database Market Size, By Component, 2017-2024 (USD Million)
Table 55 Canada: Market Size By Deployment Mode, 2017-2014(USD Million)
Table 56 Europe: Market Size By Component, 2017–2024 (USD Million)
Table 57 Europe: Market Size By Service, 2017–2024 (USD Million)
Table 58 Europe: Market Size By Professional Service, 2017–2024 (USD Million)
Table 59 Europe: Market Size By Application, 2017–2024 (USD Million)
Table 60 Europe: Market Size By Type, 2017–2024 (USD Million)
Table 61 Europe: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 62 Europe: Market Size By Organization Size, 2017–2024 (USD Million)
Table 63 Europe: Market Size By Industry Vertical, 2017–2024 (USD Million)
Table 64 Europe: Market Size By Country, 2017–2024 (USD Million)
Table 65 United Kingdom: Graph database Market Size, By Component, 2017-2014(USD Million)
Table 66 United Kingdom: Market Size By Deployment Mode , 2017-2014(USD Million)
Table 67 Germany: Market Size By Component, 2017-2014(USD Million)
Table 68 Germany: Market Size By Deployment Mode , 2017-2014(USD Million)
Table 69 France: Graph database Market Size, By Component, 2017-2014(USD Million)
Table 70 France: Market Size By Deployment Mode , 2017-2014(USD Million)
Table 71 Rest of Europe: Graph database Market Size, By Component, 2017-2014(USD Million)
Table 72 Rest of Europe: Market Size By Deployment Mode , 2017-2014(USD Million)
Table 73 Asia Pacific: Graph Database Market Size, By Component, 2017–2024 (USD Million)
Table 74 Asia Pacific: Market Size By Service, 2017–2024 (USD Million)
Table 75 Asia Pacific: Market Size By Professional Service, 2017–2024 (USD Million)
Table 76 Asia Pacific: Market Size By Application, 2017–2024 (USD Million)
Table 77 Asia Pacific: Market Size By Type, 2017–2024 (USD Million)
Table 78 Asia Pacific: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 79 Asia Pacific: Market Size By Organization Size, 2017–2024 (USD Million)
Table 80 Asia Pacific: Market Size By Industry Vertical, 2017–2024 (USD Million)
Table 81 Asia Pacific: Market Size By Country, 2017–2024 (USD Million)
Table 82 China: Graph database Market Size, By Component, 2017-2014(USD Million)
Table 83 China: Market Size By Deployment Mode , 2017-2014(USD Million)
Table 84 Japan: Market Size By Component, 2017-2014(USD Million)
Table 85 Japan: Market Size By Deployment Mode , 2017-2014(USD Million)
Table 86 Australia and New Zealand: Graph database Market Size, By Component, 2017-2014(USD Million)
Table 87 Australia and New Zealand: Market Size By Deployment Mode, 2017-2014(USD Million)
Table 88 Rest of Asia Pacific: Market Size By Component, 2017-2014(USD Million)
Table 89 Rest of Asia Pacific: Market Size By Deployment Mode, 2017-2014(USD Million)
Table 90 Middle East and Africa: Graph Database Market Size, By Component, 2017–2024 (USD Million)
Table 91 Middle East and Africa: Market Size By Service, 2017–2024 (USD Million)
Table 92 Middle East and Africa: Market Size By Professional Service, 2017–2024 (USD Million)
Table 93 Middle East and Africa: Market Size By Application, 2017–2024 (USD Million)
Table 94 Middle East and Africa: Market Size By Type, 2017–2024 (USD Million)
Table 95 Middle East and Africa: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 96 Middle East and Africa: Market Size By Organization Size, 2017–2024 (USD Million)
Table 97 Middle East and Africa: Market Size By Industry Vertical, 2017–2024 (USD Million)
Table 98 Middle East and Africa: Market Size By Country, 2017–2024 (USD Million)
Table 99 United Arab Emirates: Graph database Market Size, By Component, 2017-2014(USD Million)
Table 100 United Arab Emirates: Market Size By Deployment Mode , 2017-2014(USD Million)
Table 101 Qatar: Graph database Market Size, By Component, 2017-2014(USD Million)
Table 102 Qatar: Market Size By Deployment Mode , 2017-2014(USD Million)
Table 103 Kingdom of Saudi Arabia: Graph database Market Size, By Component, 2017-2014(USD Million)
Table 104 Kingdom of Saudi Arabia: Market Size By Deployment Mode, 2017-2014(USD Million)
Table 105 South Africa: Market Size By Component, 2017-2014(USD Million)
Table 106 South Africa: Market Size By Deployment Mode , 2017-2014(USD Million)
Table 107 Rest of Middle East and Africa: Market Size By Component, 2017-2014(USD Million)
Table 108 Rest of Middle East and Africa: Market Size By Deployment Mode, 2017-2014(USD Million)
Table 109 Latin America: Graph Database Market Size, By Component, 2017–2024 (USD Million)
Table 110 Latin America: Market Size By Service, 2017–2024 (USD Million)
Table 111 Latin America: Market Size By Professional Service, 2017–2024 (USD Million)
Table 112 Latin America: Market Size By Application, 2017–2024 (USD Million)
Table 113 Latin America: Market Size By Type, 2017–2024 (USD Million)
Table 114 Latin America: Market Size By Deployment Mode, 2017–2024 (USD Million)
Table 115 Latin America: Market Size By Organization Size, 2017–2024 (USD Million)
Table 116 Latin America: Market Size By Industry Vertical, 2017–2024 (USD Million)
Table 117 Latin America: Market Size By Country, 2017–2024 (USD Million)
Table 118 Brazil: Graph database Market Size, By Component, 2017-2014(USD Million)
Table 119 Brazil: Market Size By Deployment Mode , 2017-2014(USD Million)
Table 120 Mexico: Market Size By Component, 2017-2014(USD Million)
Table 121 Mexico: Market Size By Deployment Mode , 2017-2014(USD Million)
Table 122 Rest of Latin America: Market Size By Component, 2017-2014(USD Million)
Table 123 Rest of Latin America: Market Size By Deployment Mode , 2017-2014(USD Million)
Table 124 Evaluation Criteria


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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Adjacent Markets

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Competitive Landscape

 
 
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