Graph Analytics Market Size And Forecast

Graph Analytics Market size was valued at USD 554.80 Million in 2019 and is projected to reach USD 5369.86 Million by 2027, growing at a CAGR of 32.64% from 2020 to 2027.

Growing demand to analyze low-latency queries and the ability to uncover relationships between data in real-time are expected to drive the growth of the Graph Analytics Market. The Global Graph Analytics Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global Graph Analytics Market Definition

Graph analytics is an emerging and interesting new area for analytics workloads and it is also known as network analysis. Its ability to be utilized for the purpose of social network influencer analysis has generated ample growth opportunities for the Graph Analytics Market. Marketing managers are particularly interested in the identification of social network influencers as they are potential targets for social media marketing campaigns. Connecting with influencers could set off chain reactions amongst the social network communities and trigger the sale of services and products.

There are different kind of graph analytics which includes path analysis, connectivity analysis, community analysis, and centrality analysis. Graph Analytics are analytic tools used to determine the strength and direction of relationships between objects in a graph. The focus of graph analytics is on the pairwise relationship between two objects at a time and the structural characteristics of the graph as a whole. Graph analytics, built on the mathematics of graph theory, is used to model pairwise relationships between people, objects, or nodes in a network. It can uncover insights into the strength and direction of the relationship.

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Global Graph Analytics Market Overview

Growing demand to analyze low-latency queries and the ability to uncover relationships between data in real-time are expected to drive the growth of the Graph Analytics Market. The Global Graph Analytics Market is estimated to be driven by the rising demand for analysis of low-latency queries and augmented integration of advanced technologies like the Internet of Things and Artificial Intelligence. Furthermore, the ability of graph analytics to reveal relationships between the data in real-time or near real-time is likely to work in favor of the Global Graph Analytics Market.

In addition, the increasing need to analyze data in real-time and the integration of artificial intelligence, the Internet of Things (IoT), and blockchain technologies are major factors that are responsible for driving the market growth. It finds extensive use in many verticals. In comparison with other analytical solutions for relational databases, graph analytics technology provides many benefits to overcome various challenges of complex and large data. It assists in the processing of the set of complicated where relational databases are unable to traverse efficiently between relationships.

Furthermore, the rising need to identify complex patterns and the rapid use of virtualization for big data analytics are opportunities for the Graph Analytics Market. Graph analytics has gained popularity, particularly amongst marketers, and has become a mainstream technology in various enterprises for data management. However, the lack of technical expertise to develop a high computing algorithm and inefficient resources for standardization impede the market growth. The shortage of technical skills regarding graph analytics is a major problem for market growth.

Global Graph Analytics Market: Segmentation Analysis

The Global Graph Analytics Market is Segmented on the basis of Component, Deployment Mode, Organization Size, And Geography.

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Graph Analytics Market, By Component

• Solutions
• Services
• Others

Based on Component, The market is bifurcated into Solutions, Services, and Others. The Solution segment is expected to inflate the market growth. The segment comprises software tools and platform that helps the data scientist to analyze and relate with other network nodes. These solutions are used to implement algorithms to provide a brief understanding of graph databases and their relationship with each node.

Graph Analytics Market, By Deployment Mode

• Cloud
• On-Premises

Based on Deployment Mode, The market is bifurcated into Cloud and On-Premises. The On-Premises is anticipated to become the fastest-growing market in the forecast duration.

Graph Analytics Market, By Organization Size

• Large Enterprises
• Small and Medium-Sized Enterprises

Based on Organization Size, The market is bifurcated into Large Enterprises and Small and Medium-Sized Enterprises. Large Enterprises are anticipated to become the fastest-growing market in the forecast duration. Large Enterprises have a strong infrastructure, coupled with skilled IT personnel, to maintain a large volume of graph database platforms.

Graph Analytics Market, By Geography

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

On the basis of Geography, The Global Graph Analytics Market is classified into North America, Europe, Asia Pacific, and Rest of the world. North America is expected to hold the largest market share in the forecast period. The growth of the market in the region is attributed to the augmented use of big data technology. In addition, increasing investment by several companies in real-time analytics and a huge amount of data across several verticals are forecasted to support market growth.

Key Players

The “Global Graph Analytics Market” study report will provide valuable insight with an emphasis on the global market. The major players in the market are Linkurious, Graphistry, Objectivity, Dataiku, Neo4j, Teradata, TIBCO Software, Lynx Analytics, Microsoft Corporation, and IBM Corporation. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

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