-- 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.
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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.
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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.
Table of Contents
1. Executive Summary
2. Vertical Outlook
2.1. Vertical Overview
2.2. Vertical Trends
3. Market Snapshot
4. Market Outlook
5. Deployment Mode: Market Size & Analysis
6. Application: Market Size & Analysis
7. Vertical: Market Size & Analysis
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
10. Geography: Market Size & Analysis
11. Competitive Landscape
12. Vendor Profiles
13. Companies to Watch
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
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