Graph analytics refers to network analysis, which is a systematic tool used to ascertain the direction and strength of the relationship between parameters in a graph. Graph analytics is rapidly being deployed for analytics work. This analysis is widely being utilized for social network influencer analysis. This software is used by marketing managers to spot out their prospective targets for marketing activities to buy products and services as well as used for the financial frauds such as money laundering. Growing preference for low-latency in query analyzing and incorporating technologies such as artificial intelligence, the internet of things, and blockchain are the aspects that are propelling the market growth. Graph Analytics Market is predicted to grow at a CAGR of 33.3% with a value expecting to reach $4,367.41 million by 2026.

Research Methodology:

The graph analytics market has been analyzed by utilizing the optimum combination of secondary sources and in-house methodology, along with an irreplaceable blend of primary insights. The real-time assessment of the market is an integral part of our market sizing and forecasting methodology. Our industry experts and panel of primary participants have helped in compiling relevant aspects with realistic parametric estimations for a comprehensive study. The participation share of different categories of primary participants is given below:

Market categories based on Deployment Mode:

• On-premises
• Cloud

Market categories based on Application:

• Customer Analytics
• Risk and Compliance Management
• Recommendation Engines
• Route Optimization
• Fraud Detection
• Others

Market segments based on Vertical:

• Banking, Financial Services, and Insurance
• Retail and eCommerce
• Telecom
• Healthcare and Life Sciences
• Government and Public Sector
• Manufacturing
• Transportation and Logistics
• Others

Market segments based on Organization Size:

• Large Enterprises 
• Small and Medium-Sized Enterprises

Market categories based on Component:

• Solutions

• Software Tools
• Platform

• Services

• Consulting
• System Integration
• Support and Maintenance

Market classification based on Geography:

• North America
• Europe
• Asia Pacific
• Rest of the World

As per the deployment mode, the market is bifurcated into on-premise and cloud the cloud deployment is the most adopted segment due to its advantages. In cloud deployment mode, the generated data is easily maintained, incurs low-cost, and features high expandability.

As per the application, the route optimization segment is having the largest share in the graph analytics market. Due to the rising need for discovering the fastest and secure and effective route in verticals, for instance, in the supply chain, optimize route planning assists in brands to meet customer demands better.

As in the vertical market, the healthcare and life sciences segment is anticipated to have the largest share in the graph analytics market. Because of the high demand for minimizing fraud in the healthcare data, aiming for better patient experience and delivering customize treatment in real-time graph analytics.

Large enterprises in the organization type segment are widely deploying the graph analytics solutions compared to the small and medium-sized enterprises. This is because the requirement of this enterprise to control the huge volume of data happening to generate from the various business entities and convert it into executable insights

 In the component market segmentation, the market is segregated into solutions and services component. The services segment has a high demand, and the services segment is further segregated among consulting, system integration, and support & maintenance. The demand for services segment is ascribed to the increasing adoption of software tools and platforms, which results in demand for pre and post-adoption of services.

In the regional market, the North American region is considered to dominate the graph analytics market. It is due to the vital developments that are observed in this region, the increasing utilization of the data technology, and rapidly increasing data volume in the verticals.

Globally, the graph analytics is widely used due to its cost-effective benefits such as to detect cybercrimes, applying to social networks as to keep track of statistics and to discover influencers, and to enhance the logistics in the manufacturing and transportation industries. The above benefits of graph analytics are projected to drive market growth. Although, few factors such as the dearth of technical skilled resource area likely to hamper the market growth.

Oracle, Microsoft, AWS, Neo4j, IBM TigerGraph, DataStax, Franz, TIBCO Software, Cray, Lynx Analytics, Linkurious, Teradata, Graphistry, Dataiku, Tom Sawyer Software, Objectivity, Kineviz, and Expero. These are the few market players which are dominating the graph analytics market.

Moreover, the Graph Analytics market is anticipated to reach the rate of the highest CAGR. The graph analytics are majorly adopted to identify the frauds or unlawful by the national intelligence agency. The graph analytics market report gives insights into drivers, opportunities, and restraints.

• This research assists the new entrants in this market with information on the adjacent expectations of the revenue for the overall graph analytics market and the segments.
• This report will assist shareholders in understanding the competitive edge and obtaining in-depth analysis to place their businesses better
• The graph analytics market report further helps the shareholders to project perfect market strategies.

1. Executive Summary

2. Vertical Outlook

2.1. Vertical Overview

2.2. Vertical Trends

3. Market Snapshot

3.1. Total Adressable Market

3.2. Segment Addressable Market

3.2.1. PEST Analysis

3.2.2. Porter Five Forces

3.3. Related Markets

3.4. Ecosystem

4. Market Outlook

4.1. Overview

4.1.1. Market Evolution

4.2. Market Trends and Impact

4.3. Pricing Analysis

4.4. Market Segmentation

4.5. Market Dynamics

4.5.1. Drivers

4.5.2. Restraints

4.5.3. Opportunities

4.6. DRO - Impact Analysis

5. Deployment Mode: Market Size & Analysis

5.1. Overview 

5.2. On-premises  

5.3. Cloud

6. Application: Market Size & Analysis

6.1. Overview 

6.2. Customer Analytics

6.3. Risk and Compliance Management

6.4. Recommendation Engines

6.5. Route Optimization

6.6. Fraud Detection

6.7. Others

7. Vertical: Market Size & Analysis

7.1. Overview 

7.2. Banking, Financial Services, and Insurance

7.3. Retail and eCommerce

7.4. Telecom  

7.5. Healthcare and Life Sciences

7.6. Government and Public Sector   

7.7. Manufacturing

7.8. Transportation and Logistics

7.9. Others

8. Organization Size: Market Size & Analysis

8.1. Overview 

8.2. Large Enterprises 

8.3. Small and Medium-Sized Enterprises

9. Component: Market Size & Analysis

9.1. Overview 

9.2. Solutions

9.2.1. Software Tools

9.2.2. Platform

9.3. Services

9.3.1. Consulting

9.3.2. System Integration

9.3.3. Support and Maintenance

10. Geography: Market Size & Analysis

10.1. Overview 

10.2. North America

10.3. Europe

10.4. Asia Pacific

10.5. Rest of the World

11. Competitive Landscape

11.1. Competitor Comparison Analysis

11.2. Market Developments

11.2.1. Mergers and Acquisitions, Legal, Awards, Partnerships

11.2.2. Product Launches and execution

12. Vendor Profiles

12.1. MICROSOFT

12.1.1. Overview

12.1.2. Business Units

12.1.3. Geographic Revenue

12.1.4. Product Offerings

12.1.5. Developments

12.1.6. Business Strategy

12.2. IBM

12.2.1. Overview

12.2.2. Business Units

12.2.3. Geographic Revenue

12.2.4. Product Offerings

12.2.5. Developments

12.2.6. Business Strategy

12.3. AWS

12.3.1. Overview

12.3.2. Business Units

12.3.3. Geographic Revenue

12.3.4. Product Offerings

12.3.5. Developments

12.3.6. Business Strategy

12.4. ORACLE

12.4.1. Overview

12.4.2. Business Units

12.4.3. Geographic Revenue

12.4.4. Product Offerings

12.4.5. Developments

12.4.6. Business Strategy

12.5. NEO4J

12.5.1. Overview

12.5.2. Business Units

12.5.3. Geographic Revenue

12.5.4. Product Offerings

12.5.5. Developments

12.5.6. Business Strategy

12.6. TIGERGRAPH

12.6.1. Overview

12.6.2. Business Units

12.6.3. Geographic Revenue

12.6.4. Product Offerings

12.6.5. Developments

12.6.6. Business Strategy

12.7. CRAY

12.7.1. Overview

12.7.2. Business Units

12.7.3. Geographic Revenue

12.7.4. Product Offerings

12.7.5. Developments

12.7.6.

12.7.7. Business Strategy

12.8. DATASTAX

12.8.1. Overview

12.8.2. Business Units

12.8.3. Geographic Revenue

12.8.4. Product Offerings

12.8.5. Developments

12.8.6. Business Strategy

12.9. TERADATA    

12.9.1. Overview

12.9.2. Business Units

12.9.3. Geographic Revenue

12.9.4. Product Offerings

12.9.5. Developments

12.9.6. Business Strategy

12.10. TIBCO SOFTWARE     

12.10.1. Overview

12.10.2. Business Units

12.10.3. Geographic Revenue

12.10.4. Product Offerings

12.10.5. Developments

12.10.6. Business Strategy

13. Companies to Watch

13.1. LYNX ANALYTICS 

13.1.1. Overview

13.1.2. Market

13.1.3. Business Strategy

13.2. LINKURIOUS

13.2.1. Overview

13.2.2. Market

13.2.3. Business Strategy

13.3. GRAPHISTRY

13.3.1. Overview

13.3.2. Market

13.3.3. Business Strategy

13.4. OBJECTIVITY

13.4.1. Overview

13.4.2. Market

13.4.3. Business Strategy

13.5. DATAIKU

13.5.1. Overview

13.5.2. Market

13.5.3. Business Strategy

13.6.  TOM SAWYER SOFTWARE

13.6.1. Overview

13.6.2. Market

13.6.3. Business Strategy

13.7. TOM SAWYER SOFTWARE.

13.7.1. Overview

13.7.2. Market

13.7.3. Business Strategy

13.8. KINEVIZ

13.8.1. Overview

13.8.2. Market

13.8.3. Business Strategy

13.9. FRANZ

13.9.1. Overview

13.9.2. Market

13.9.3. Business Strategy

13.10. EXPERO

13.10.1. Overview

13.10.2. Market

13.10.3. Business Strategy

14. Analyst Opinion

15. Annexure

15.1. Report Scope

15.2. Market Definitions

15.3. Research Methodology

15.3.1. Data Collation and In-house Estimation

15.3.2. Market Triangulation

15.3.3. Forecasting

15.4. Report Assumptions

15.5. Declarations

15.6. Stakeholders

15.7. Abbreviations