Need for low-latency query processing solutions is growing, and graph database technology is being used more and more, is expected to drive market expansion in the near futureat a CAGR of 18.20% during the forecast period 2023 to 2032.
Market Research Future (MRFR) has published a cooked research report on the Graph Database Market that contains information from 2018 to 2032.TheGraph Database market is estimated to register a CAGR of 18.20% during the forecast period of 2023 to 2032.
MRFR recognizes the following companies as the key players in the Graph Database market— Oracle Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), DataStax (US), Ontotext (Bulgaria), Stardog Union (US), Hewlett Packard Enterprise (US), ArangoDB (US), Blazegraph (US), Microsoft Corporation (US), SAP SE (Germany), Teradata Corporation (US), Openlink Software (US), TIBCO Software, Inc. (US), Neo4j, Inc. (US), GraphBase (Australia), Cambridge Semantics (US), TigerGraph, Inc. (US), Objectivity Inc. (US), Bitnine Co, Ltd (US), Franz Inc. (US), Redis Labs (US), Graph Story (US) Dgraph Labs (US), Eccenca (Germany), and Fluree (US).
Market Highlights
The Graph Database market is accounted to register a CAGR of 18.20%during the forecast period and is estimated to reach USD 12.2 billion by 2032.
With applications across many industries and sectors, manufacturers heavily utilize graph database technology, especially for business data management. When examining complex and massive amounts of data, the graph database technology offers many advantages over traditional database systems, though in fact they cannot be spread in an affordable cluster, graph databases—which are NoSQL databases—must operate on a single server. A network's performance quickly deteriorates as a result of this. Hiring pricey programmers is necessary because there is no SQL to save data from graph databases, thus developers must code their queries in Java. This is another significant drawback. Those are among some of the main things impeding the market's expansion.
Segment Analysis
The Graph Database market has been segmented based Offering, Analysis Type, Model Type, and Vertical.
Based on Offering, the market is segmented into Solution (Solution Type, and Deployment mode), and Services (Professional Services, and Managed Services). The solution segment was attributed to holding the largest market share in 2022, because they can handle situations where relationships are just as important as the data.
Based on Analysis Type, the Graph Database market has been segmented into Community Analysis, Connectivity Analysis, Centrality Analysis, and Path Analysis. The connectivity analysis segment was expected to hold the largest market share in 2022. Graph databases are ideal for situations where relationships between data points are crucial since they are made to represent and store data as linked nodes and edges.
Based on Model Type, the market is segmented into RDF, Labeled Propert Graph, and Hypergraphs. The hypergraphs segment was attributed to holding the largest market share in 2022. The interest in hypergraphs is driven by the need for more advanced recommendation algorithms that take multi-entity interactions into account
Based on Vertical, the Graph Database market has been segmented into BFSI, Retail and eCommerce, Telecom and IT, Healthcare, Pharmaceuticals, and Life Sciences, Government and Public Sector, Manufacturing and Automotive, Media and Entertainment, Energy and Utilities, Travel and Hospitality, Transportation and Logistics, and Others. The telecom and IT segment was expected to hold the largest market share in 2022, due to improve customer experiences, optimize infrastructure, and manage networks better
Regional Analysis
The Graph Database market, based on region, has been divided into the North America, Europe, Asia-Pacific, and Rest of the World. North America consists of US and Canada. The Europe Graph Database market comprises of Germany, France, the UK, Italy, Spain, and the rest of Europe. The Graph Database market in Asia-Pacific has been segmented into China, India, Japan, Australia, South Korea, and the rest of Asia-Pacific. The Rest of the World Graph Database market comprises of Middle East, Africa, and Latin America.
The largest market share for Graph Database was maintained by the North American regional sector. The adoption of graph databases is aided by firms in North America having a better knowledge of them. Organizations are increasingly using graph databases into their data management strategies as they realize how beneficial they are for managing interconnected data. In North America, businesses are looking more and more for real-time insights from their data. Because they can do real-time connectivity analysis, graph databases are useful in situations were making decisions quickly and adaptably is crucial.
Moreover, the Europe market has been persistently growing over the forecast period. The rising use of connected data models is a result of the understanding of the significance of linkages and connections within data. Graph databases are well-suited for applications where relationships are important, like fraud detection, social networks, and recommendation systems, because they are excellent at representing and querying related data. The adoption of modern database technologies is supported by the increasing amount of money that European firms and organizations are investing in IT infrastructure. Graph databases are thought to be an important part of contemporary IT designs.
Additionally, Initiatives for digital transformation are being aggressively pursued by companies and governments in the Asia-Pacific area. Graph databases are becoming more popular because of the necessity to stay competitive by modernizing IT infrastructure and utilizing cutting-edge technologies. There are a ton of users in the Asia-Pacific area on social media and e-commerce sites. Businesses can evaluate user activities, preferences, and connections with the help of graph databases, which are well-suited to handle the interconnected data present in these platforms.
Furthermore, the rest of the world's Graph Database market is divided into the Middle East, Africa, and Latin America. This growth is attributed to the region's rising investments in research and development. Government support, a rise in investor interest, and the viability of the technology in the sector are all contributing factors to the market expansion.
Key Findings of the Study
- The Graph Database market is expected to reach USD 12.2 billion by 2032, at a CAGR of 18.20% during the forecast period.
- The Asia-Pacific region accounted for the fastest-growing market. Graph databases are becoming more popular because of the necessity to stay competitive by modernizing IT infrastructure and utilizing cutting-edge technologies
- Based on model type, the hypergraphs segment was attributed to holding the largest market in 2022.
- Oracle Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), DataStax (US), Ontotext (Bulgaria), Stardog Union (US), Hewlett Packard Enterprise (US), ArangoDB (US), Blazegraph (US), Microsoft Corporation (US), SAP SE (Germany), Teradata Corporation (US), Openlink Software (US), TIBCO Software, Inc. (US), Neo4j, Inc. (US), GraphBase (Australia), Cambridge Semantics (US), TigerGraph, Inc. (US), Objectivity Inc. (US), Bitnine Co, Ltd (US), Franz Inc. (US), Redis Labs (US), Graph Story (US) Dgraph Labs (US), Eccenca (Germany), and Fluree (US).
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Companies Covered | 15 |
Pages | 128 |
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