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Graph Analytics Market

Graph Analytics Market: Information by Component, Deployment Mode (Cloud), Application (Customer Analytics), Organizational Size, Industry Vertical (SMEs), and Region — Forecast till 2030

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Market Overview

The graph analytics market was valued at USD 575.2 million in 2019 and is expected to reach USD 12,359 million by 2030, with a CAGR of 36.4% during the forecast period, 2020–2029.

Increasing demand for advanced analytical solutions by the enterprises to improve customer experience and surging number of innovations and product enhancement drive the market growth. Similarly, burgeoning demand for analytical solutions to explore relationships between data in real-time provides an impetus to the market growth. On the other hand, lack of technical expertise to develop a high computing algorithm and inefficient resources for standardization impede market growth.   

Market Snapshot

market snapshot
Base Year
: 2021
Study Period
: 2020-2030
: 36.4 %
Fastest Growing Market
: Europe
Largest Market
: North America
Market Size
: USD 12,359 million by 2030
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Market Dynamics

Graph analytics is one of the sub-segments of the analytical solution that constitutes big data analytics, advanced analytics, and Artificial Intelligence (AI). It is an analytical tool to determine the strength and direction of relationships between data nodes, vertical, links, and edges in a graphical format. The analytical solution provides a platform to identify the relationship between two objects at real-time and structural characteristics of the graph as a whole. There are four different types of graphical analyses, namely path analysis, connectivity analysis, community analysis, and centrality analysis. These graphical analyses aids in edging-out disinformation and bots on social media, credit card fraud, Vat fraud detection, and healthcare pandemic. Apart from this, the graph analytics are used in national security operations, social network analysis, and recommendation engines.

The graph analytics market is projected to witness exponential growth amidst the COVID-19 pandemic as implementing a graphical database facilitates the governments to track the spread of the virus. Recently, We-Yun, a China-based Big Data company, collaborated with Neo4 to build an application using the neo4J platform to track the citizens affected with the virus.

Segmental Analysis

Solution Segment to Dominate the Market during the Forecast Period

The solution segment held the largest market share in 2019 and is projected to dominate the market during the forecast period. The segment comprises software tools and platforms that help the data scientist to analyze and relate with other network nodes. These solutions are used to implement algorithms to provide a brief understanding of the graph databases and their relationships with each node. They are also used by telecom companies to analyze the telecom network and reduce congestion during peak hours. Thus, the need for an analytical solution to improve the service offering to the consumer drives the market growth. On the other hand, the services segment is projected to grow with the highest CAGR. The segment comprises consulting services, system integrating services, and support and maintenance services.

On-Premise Segment to Hold the Largest Market Share

The on-premise segment accounted for the largest market share in 2019 and will continue the same during the forecast period. The cloud segment, on the other hand, is expected to grow with the highest CAGR. The seamless turnkey solution offered by the cloud-based solution helps the data scientist to maintain the graphical database and effectively manage these solutions.

Large Enterprise Segment to Hold Three-Quarters of the Market Shares

The large enterprise segment holds about 75% of the market shares and is presumed to exhibit a significant CAGR during the forecast period. Large enterprises have strong infrastructure, coupled with skilled IT personnel, to maintain large volumes of graph database platform. On the other hand, the SME segment is expected to grow with the highest CAGR owing to the adoption of cloud-based software tools and platforms.


Customer Analytics Segment to Hold A Quarter of the Market Share

The customer analytics segment accounted for the largest market share of 31% and is presumed to exhibit a significant CAGR during the forecast period. Rising demand for advanced analytical solutions from media and entertainment and retail and e-commerce sectors to improve customer experience drive the segment growth. The fraud detection segment, on the other hand, is projected to exhibit the highest CAGR during the forecast period.

Regional Analysis

Burgeoning Number of Startups to Drive North America’s Graph Analytics Market

North America held the largest shares in the graph analytics market share in 2019 and is expected to dominate the market during the forecast period. Rising adoption of graphical analytical solutions across the healthcare sectors, an increasing number of merger and acquisition activities among prominent players, and a burgeoning number of startups drive the regional market growth. In April 2019, HPC funded Trovares, a startup based in Seattle, to develop xGT platform, a graphical analytical tool to address the challenges witnessed by the clients for a large number of data sets.


Europe Holds the Second Highest Share in the Graph Analytics Market

Europe holds the second highest shares in the graph analytics market and is expected to grow with a significant CAGR during the forecast period. Increasing demand for graphical analytical solutions by the telecom sector provides an impetus to the market growth as they address the massive network connectivity requirements of the region. As per the European Commission (EC), over 100,000 small and medium enterprises (SMEs) are expected to adopt a graphical database for business operations by 2020.

Graph Analytics Market Regional Analysis
Regional Growth Insights Download Free Sample

Top Key Players of Graph Analytics Market

  1. Microsoft Corporation
  2. Amazon Web Services
  3. Oracle Corporation
  4. IBM Corporation
  5. HP Development LP (Cray Inc)
  6. Teradata
  7. Lynx Analytics
  8. Tiger graph
  9. Neo4j
  10. Linkurious
  11. TIBCO Software
  12. DataStax
  13. FlockDB
  14. OrientDB
  15. Titan
  16. Tom Sawyer
  17. Objectivity
  18. Expero
  19. Kineviz

Report Scope

Report Metric Details
CAGR 36.4%
Forecast Period 2023-2031
Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, Environment & Regulatory Landscape and Trends
Segments Covered
  1. By Component
    1. Solution
    2. Services
      1. Consulting services
      2. Support and maintenance services
      3. System integrating services
  2. By Deployment Mode
    1. Cloud
    2. On-premise
  3. By Organization Size
    1. SMEs
    2. Large enterprises
  4. By Application
    1. Customer Analytics
    2. Risk and compliance management
    3. Recommendation engines
    4. Route optimization
    5. Fraud detection
  5. By Industry Vertical
    1. Retail and e-commerce
    2. Healthcare
    3. Telecom
    4. Manufacturing
    5. Government and public sector
    6. Banking, financial services, and insurance (BFSI)
    7. Transportation and logistics
Geographies Covered
  • North America
  • Europe
  • APAC
  • Middle East and Africa

Recent Developments

  • In April 2020, Neo4j, one of the leading players in offering graph analytics solutions, launched Neo4j for Graph Data Science, to harness the predictive power of relationships for enterprise deployments
  • In March 2020, TigerGraph, one of the prominent players in Graph Analytics, launched TigerGraph3.0 to unravel the relevant real-time data and develop scalable graph analytics
  • In September 2019, HP Development LP acquired Cray Inc to expand its product portfolio in high-performance computing (HPC) and artificial intelligence (AI)

Graph Analytics Market Segmentation

By Component

  • Solution

  • Services

    • Consulting services
    • Support and maintenance services
    • System integrating services

By Deployment Mode

  • Cloud
  • On-premise

By Organization Size

  • SMEs
  • Large enterprises

By Application

  • Customer Analytics
  • Risk and compliance management
  • Recommendation engines
  • Route optimization
  • Fraud detection

By Industry Vertical

  • Retail and e-commerce
  • Healthcare
  • Telecom
  • Manufacturing
  • Government and public sector
  • Banking, financial services, and insurance (BFSI)
  • Transportation and logistics
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