North America dominated the overall graph database market share in 2018, as the organizations operating in this region highly rely on data, which is driving the adoption of graph database tools and related technologies. However, the transportation & logistic industry is expected to witness highest CAGR during the graph database market forecast period, due to increase in adoption of graph database technology in this industry to compute fast, to enable localized door-to-door delivery of goods between buyers & sellers, and to scale their business to include the supply chain. This is attributed to the fact that telecommunication operators are increasingly focusing on this technology to achieve competitive gain, as many of the critical data sets in telecommunications are graphs, such as network graph, social graph, call center graph, and the master data graph. The IT & telecom industry dominated the graph database market in 2018, and is expected to continue this trend during the forecast period. ![]() However, the service segment is expected to witness the highest CAGR during the forecast period, due to increase in adoption of services among end users, as they ensure effective functioning of software and platforms throughout the process. The software segment dominated the overall graph database market in 2018, and is expected to continue this trend during the forecast period, owing to surge in need for software, as massive volume of data is continuously generated due to which managing data using a traditional relational database infrastructure is difficult for enterprises. The global graph database market size was valued at $651 million in 2018, and is projected to reach $3,731 million by 2026, growing at a CAGR of 24.5% from 2019 to 2026. These benefits and systems possess the ability for scaling and handling naturally large data sets. The graph database technology offers several advantages for overcoming problems faced while analyzing large and complex data as compared to other database solutions. It is a mainstream technology especially in data management for enterprises, which finds applications in numerous industries and sectors. The graph relates the data items in the store to a collection of nodes and edges the edges representing the relationships between the nodes. Graph database is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |