Graph Analytics Market
                     Market Highlights 
The analysis of MRFR reveals that the Global Graph Analytics Market is slated to register a CAGR of 
31.6% during the review period and reach a value of USD 2,885.2 Million in 2025. 
The that need for real-time analyzes of data and the convergence of the Internet of Things ( IoT), 
artificial intelligence, and blockchain technologies are major factors that drive market growth. An 
additional factor driving the global graph analytics market is the growing demand for the analysis 
of low-latency queries. In addition, the lack of technical skills regarding graph analytics is expected 
to be a challenge to this market 's growth. The rising need to identify complex patterns and the 
rapid use of Big Data Analytics virtualisation are the opportunities for the graph analysis market. 
Segmentation: 
The Global Graph Analytics Market has been segmented based on Deployment Type, Application, 
Organization Size, Vertical, Component, and Region/Country. 
The global market in graph analytics was divided into solution and service by Component. The 
service segment was further divided into consulting, system integration, and maintenance and 
support. 
The global graph analytics market was split into cloud and on-premise by Deployment Type. Most 
vendors in the graph analytics market offer cloud-based maintenance solutions to make maximum 
profits and effectively automate the process of maintenance of the equipment. It is expected that 
the adoption of cloud-based graph analytics solutions will increase due to benefits such as easy data 
maintenance, cost-effectiveness, scalability and effective management of these solutions. 
The global graph analytics market was divided into small and medium-sized enterprises ( SMEs) 
and large enterprise segments, based on Organization Size. 
The global graph analytics market, based on Application, was divided into risk and compliance 
management, customer analytics, route optimization, recommendation engines, fraud detection and 
others. The segment of route optimisation is expected to be the fastest growing segment on the 
market due to the increasing need to find the fastest and safest route in verticals, such as supply 
chain and logistics, transport, retail and eCommerce. 
Based on Vertical, the global graph analytics market has been segmented into transportation & 
logistics, banking, financial services & insurance, healthcare & life sciences, government, telecom, 
retail and e-commerce, manufacturing,and others.  
Regional Assessment 
It is estimated that the Global Graph Analytics Market will record a CAGR of 31.6 per cent over the 
forecast period. Europe , Asia-Pacific, Middle East & Africa , North America, and Latin America 
performed the regional study of the global graph analytics sector. 
North America has the largest market share as the key players in this region have been world 
leaders in technology advancement. Due to the high implementation of digital transformation, the 
US leads the market in North America; and the use of modern technologies such as big data and 
analytics, and the country's high adoption of cloud-based technologies. 
Due to the high need for real-time data analysis between companies across verticals, Europe is 
expected to be the second-largest market during the review period. During the forecast period Asia-
Pacific is expected to be the fastest-growing market on the global graph analytics market. The 
increasing demand for analysis of low-latency queries is the key driver for market growth in the 
Asia-Pacific region. 
Key Players 
The Key Players in the Global Graph Analytics Market are Linkurious (France), Objectivity (UK), 
Neo4j (US), Graphistry (US), Dataiku (US), TIBCO Software (US), Teradata (US), Microsoft 
Corporation (US), Lynx Analytics (Singapore), IBM Corporation (US), AWS (US), Cray, Inc. (US), 
TigerGraph (US), DataStax (US), and Oracle Corporation (US).  
The other players in the global graph analytics market include Kineviz (US), Franz (US), Tom 
Sawyer Software (US), and Expero (UK).