Global Graph Database Market (2021 to 2026) - Semantic Knowledge Graphs for Addressing Complex Scientific Research Presents Opportunities

DUBLIN, Aug. 10, 2021 /PRNewswire/ -- The "Graph Database Market with COVID-19 Impact Analysis, By Type (RDF and LPG), Application (Fraud Detection and Prevention, and Recommendation Engine), Component (Software and Services), Deployment Mode, Vertical, and Region - Global Forecast to 2026" report has been added to ResearchAndMarkets.com's offering.

The global graph database market size to grow from USD 1.9 billion in 2021 to USD 5.1 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 22.5% during the forecast period.

COVID-19's global impact has shown that interconnectedness plays an important role in international cooperation. As a result, several governments started rushing toward identifying, evaluating, and procuring reliable solutions powered by AI. graph databases and AI are invaluable to organizations managing uncertainty in real-time, but most predictive models rely on historical patterns. The use of graph database and AI has accelerated in the COVID-19 pandemic period. This has helped organizations engage customers through digital channels, manage fragile and complex supply chains, and support workers through disruption to their work and lives.

New practices, such as work from home and social distancing, have led to the requirement of graph database solutions and services and the development of digital infrastructures for large-scale technology deployments. The COVID-19 pandemic in 2020 brought accelerating changes in consumer preferences and behaviors and putting pressure on brands to keep pace and provide a personalized customer experience. Enterprises have witnessed a reduction in their operational spending and are now focusing more on business continuity and sustainability.

Technology and service providers have been facing significant disruption to their businesses from COVID-19. Hence, the COVID-19 pandemic has disrupted the global financial markets and has created panic, uncertainty, and distraction in the operations of global corporations.

The cloud segment to have the largest CAGR during the forecast period

By deployment mode, the graph database market has been segmented into on-premises and cloud. The CAGR of the cloud deployment mode is estimated to be the largest during the forecast period. The cloud-based deployment helps businesses more efficiently process and report data findings, enhance collaboration, and enable decision-makers to get faster access to business intelligence leading to its higher adoption in the graph database market.

The SMEs segment to hold higher CAGR during the forecast period

The graph database market has been segmented by organization size into large enterprises and SMEs. The market for SMEs is expected to register a higher CAGR during the forecast period as cloud-based solutions and services help them improve business performance and enhance productivity. Whereas the large enterprises segment is expected to hold a larger market share in the graph database market during the forecast period due to the affordability and the acceptance of emerging technologies.

Among regions, APAC to hold higher CAGR during the forecast period

APAC is expected to grow at a good pace during the forecast period. Opportunities for smaller graph database vendors to introduce graph database solutions for numerous sectors have also increased. All these factors are responsible for the expeditious growth of the graph database market in the region. Companies operating in APAC continue to focus on improving customer services to drive market competitiveness and revenue growth. China, Japan, and AnZ have displayed ample growth opportunities in the graph database market.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

5 Market Dynamics
5.1 Market Dynamics
5.1.1 Drivers
5.1.1.1 Need to Incorporate Real-Time Big Data Mining with Visualization of Result
5.1.1.2 Growing Demand for Solutions That Can Process Low-Latency Queries
5.1.1.3 Adoption of Ai-Based Graph Database Tools and Services to Drive the Market
5.1.2 Restraint
5.1.2.1 Lack of Standardization and Programming Ease
5.1.3 Challenges
5.1.3.1 Lack of Technical Expertise
5.1.4 Opportunity
5.1.4.1 Enterprise Data Unification and Rapid Proliferation of Knowledge Graphs
5.1.4.2 Semantic Knowledge Graphs for Addressing Complex Scientific Research
5.1.4.3 Emergence of Open Knowledge Networks
5.2 Graph Database Market Trends
5.2.1 Growing Popularity of Enterprise Knowledge Graph
5.2.2 Rapid Use of Virtualization for Big Data Analytics
5.2.3 Massive Data Generation Across Bfsi, Retail, and Media and Entertainment Industries to Drive the Adoption of Graph Database Software.
5.3 Case Study Analysis
5.4 Revenue Shift - Yc/Ycc Shift for Graph Database Market
5.5 Graph Database: Evolution
5.6 Graph Database: Architecture
5.7 Investments in Analytics
5.8 Acquisitions in the Market
5.9 Patent Analysis
5.10 Graph Database: Ecosystem/ Value/Supply Chain
5.11 Pricing Model Analysis
5.12 Technology Analysis
5.13 Porter's Five Forces Analysis
5.13.1 Threat of New Entrants
5.13.2 Threat of Substitutes
5.13.3 Bargaining Power of Suppliers
5.13.4 Bargaining Power of Buyers
5.13.5 Intensity of Competitive Rivalry
5.14 Regulatory Implications
5.14.1 General Data Protection Regulation
5.14.2 The International Organization for Standardization 27001
5.14.3 EU Data Governance Act
5.14.4 Health Insurance Portability and Accountability Act of 1996
5.14.5 Basel Committee on Banking Supervision 239 Compliance
5.14.6 Sarbanes-Oxley Act of 2002

6 Graph Database Market: COVID-19 Impact

7 Graph Database Market, by Component
7.1 Introduction
7.1.1 Component: Market Drivers
7.1.2 Component: COVID-19 Impact
7.2 Software
7.2.1 Demand to Harness Precise and In-Depth Data Connections to Drive the Adoption of Graph Database Software
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 Type
8.1 Introduction
8.2 Resource Description Framework
8.2.1 Demand for Intelligent Data Management Solutions to Drive the Growth of Resource Description Framework in the Market
8.3 Labeled Property Graph
8.3.1 Increasing Demand to Find Relationships Among Numerous Entities to Boost the Labeled Property Graph Segment Growth

9 Graph Database Market, by Deployment Mode
9.1 Introduction
9.1.1 Deployment Mode: COVID-19 Impact
9.1.2 Deployment Mode: Operational Drivers
9.2 Cloud
9.2.1 Reduced Operational Cost and Higher Scalability to Enable Growth in Cloud-Based Deployments
9.3 On-Premises
9.3.1 with Growing Threat of Data Theft, Organizations to Prefer Graph Database Solutions to Remain On-Premises

10 Graph Database Market, by Organization Size
10.1 Introduction
10.1.1 Organization Size: COVID-19 Impact
10.1.2 Organization Size: Operational Drivers
10.2 Large Enterprises
10.2.1 Advances in Graph Technology and Cloud Adoption to Drive the Market Across Large Enterprises
10.3 Small and Medium-Sized Enterprises
10.3.1 Robust Cloud-Based Deployments to Lead Small and Medium-Sized Enterprises to Record a Higher Growth Rate and Cost-Effective Solutions

11 Graph Database Market, by Application
11.1 Introduction
11.1.1 Applications: COVID-19 Impact
11.1.2 Applications: Market Drivers
11.2 Graph Database: Enterprise Use Cases
11.3 Customer Analytics
11.3.1 Growing Demand to Understand Customer Buying Behavior for Key Business Decisions to Drive the Market
11.4 Risk, Compliance, and Reporting Management
11.4.1 Demand to Secure Customers' Data and Meet Stringent Regulatory Compliance to Pave the Way for the Adoption of Graph Database
11.5 Recommendation Engines
11.5.1 Increasing Need to Provide Efficient, Accurate, and Personalized Services to Retain the Customers and Enhance Their Shopping Experience
11.6 Fraud Detection and Prevention
11.6.1 Growing Focus on Mitigating Risks and Reducing Loss to Drive the Adoption of Graph Database Tools and Services
11.7 Supply Chain Management
11.7.1 Demand to Track Inventory Levels and Shipments to Fuel the Growth of Graph Database Tools and Services in Supply Chain Management
11.8 Operations Management and Asset Management
11.8.1 Market: Drivers and Opportunities; Asset Management
11.9 Iot, Infrastructure Management, and Industry 4.0
11.9.1 with Advancements in Technologies, Such as Iot, Infrastructure Management, and Industry 4.0, the Use of Graph Database Technology is on the Rise
11.10 Knowledge Management
11.10.1 Demand to Track Inventory Levels and Shipments to Fuel the Growth of Graph Database Tools and Services in Supply Chain Management
11.11 Content Management, Data Extraction, and Search
11.11.1 Need to Gain Insights in Real Time to Fuel the Growth of Graph Database Solutions
11.12 Metadata and Masterdata Management
11.12.1 Need to Create a Central View of Data Assets to Drive the Growth of Graph Database Solutions
11.13 Scientific Data Management
11.14 Other Applications

12 Graph Database Market, by Vertical
12.1 Introduction
12.1.1 Verticals: COVID-19 Impact
12.1.2 Verticals: Market Drivers
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 Banking, Financial Services, and Insurance Industry Vertical
12.3 Retail and Ecommerce
12.3.1 Growing Demand to Identify Customer Behavior in Real Time to Fuel the Growth of the Graph Database Market in the Retail and Ecommerce Industry Vertical
12.4 Telecom and It
12.4.1 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
12.5 Healthcare, Pharmaceuticals, 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 Market in the Healthcare, Pharmaceuticals, and Life Sciences Industry Vertical
12.6 Government and Public Sector
12.6.1 Growing Demand for Enhanced Data Security and Advanced Intelligence to Drive the Graph Database Market in Government and Public Sector
12.7 Manufacturing and Automotive
12.7.1 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
12.8 Media and Entertainment
12.9 Energy and Utilities
12.10 Travel and Hospitality
12.11 Transportation and Logistics
12.11.1 Increasing Need to Gain Complete and Real-Time Visibility into Operations to Minimize Risks to Drive the Market in the Transportation and Logistics Industry Vertical
12.12 Other Verticals

13 Graph Database Market, by Region

14 Competitive Landscape

15 Company Profiles
15.1 Introduction
15.2 Key Players
15.2.1 Ibm
15.2.2 Oracle
15.2.3 Microsoft
15.2.4 Aws
15.2.5 Sap
15.2.6 Neo4J
15.2.7 Marklogic
15.2.8 Tigergraph
15.2.9 Stardog
15.2.10 Datastax
15.2.11 Hpe
15.2.12 Franz Inc
15.2.13 Ontotext
15.2.14 Openlink Software
15.2.15 Dgraph Labs
15.2.16 Tibco
15.2.17 Teradata
15.2.18 Redis Labs
15.2.19 Eccenca GmbH
15.2.20 Cambridge Semantics
15.2.21 Bitnine
15.2.22 Arangodb
15.2.23 Fluree
15.2.24 Blazegraph
15.2.25 Memgraph
15.2.26 Objectivity
15.2.27 Graphbase
15.2.28 Graph Story

16 Adjacent and Related Markets

17 Appendix

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