Data Bridge Market Research analyses that the graph database market is expected to reach USD 7384.79 million by 2030, which is USD 1938.20 million in 2022, at a CAGR of 18.20% during the forecast period. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.

Graph Database Market business report is the key. This market analysis report strategically analyses the growth trends and future prospects. Besides, it endows with the company profile, product specifications, production value, contact information of manufacturer and market shares for company. The report gives details about the emerging trends along with key drivers, challenges and opportunities in the industry. Moreover, Graph Database market report also provides strategic profiling of top players in the industry, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market.

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Graph Database report conducts meticulous competitive research to provide better market insights. This market report performs wide-ranging study about industry and tells about the market status in the forecast period. This market analysis examines various segments which aids for the quickest development amid the estimated forecast frame. The universal report explains the moves of top market players and brands that range from developments, products launches, acquisitions, mergers, joint ventures, trending innovation, and business policies. Geographical areas such as North America, South America, Europe, Asia-Pacific and Middle East & Africa are also considered for the market analysis.

Product definition”

Graph Database refers to a type of a database which uses graph structures for semantic queries with nodes, edges and properties to store and represent the data. Each edge represents a connection or relationship and each node represents an entity between two nodes. Graph databases are those technologies that translate the relational online transaction processing (OLTP) databases.

Recent Development

• In 2021, Neo4j launched its new graph database, version 4.3 with incremental upgrades that highlight prior discoveries. As a result of enhanced relationship property indexes and smart IO scheduling, the most current version comprises relationship chain locking for faster write graph data science, transaction speed, and parallelized backup.
• In 2021, DataStax, Inc. announced the acquisition of Kafkaesque Technologies Inc., a cloud messaging service completely driven and managed by Apache Pulsar, to speed the delivery of open-source, cloud-native and scale-out streaming of business events for advanced data applications. This acquisition allows companies to provide modern data applications with unlimited scaling, cloud hosting and rapid development speed.

Some of the major players operating global Graph Database market are

• Teradata (U.S.)
• Hewlett Packard Enterprise Development LP (U.S.)
• IBM Corporation (U.S.)
• Microsoft (U.S.)
• Siemens AG (Germany)
• ANSYS, Inc (U.S.)
• SAP SE (Germany)
• Oracle (U.S.)
• Robert Bosch GmbH (Germany)
• Swim.ai, Inc. (U.S.)
• Atos S.E. (France)
• ABB (Switzerland)
• KELLTON TECH (India)
• AVEVA Group plc (U.K.)
• DXC Technology Company (U.S.)
• Altair Engineering, Inc (U.S.)
• Hexaware Technologies Limited (India)
• Tata Consultancy Services Limited (India)
• Infosys Limited (India)
• NTT DATA, Inc. (Japan)
• TIBCO Software Inc. (U.S.)

Key Market Segments Covered in Graph Database Market Industry Research

Type

• Resource Description Framework (RDF)
• Labeled Property Graph (LPG)

 Application

• Fraud Detection
• Prevention
• Recommendation Engine
• Database (Relational (SQL)
• Non-relational (NoSQL)

Deployment Model

• On-premise
• Cloud

Analysis Type

• Path Analysis
• Connectivity Analysis
• Community Analysis and Centrality Analysis

Size

• Large Enterprises
• Small and Medium Enterprises

Component

• Software
• Services
• Professional Services
• Managed Services

 End User

• Banking, Financial Services and Insurance
• Telecom and IT
• Healthcare and Lifesciences
• Transportation and Logistics
• Retail and Ecommerce
• Energy and Utilities
• Government and Public
• Manufacturing
• Others

Graph Database Market Regional Analysis/Insights

The graph database market is analyzed and market size insights and trends are provided by country, type, application, database, deployment model, analysis type, size, component and end user as referenced above.

The countries covered in the graph database market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America dominates the graph database market in terms of revenue and market share owing to the presence of well-established fintech solution and early growth of the technology. Furthermore, advancements in information technology will further boost the market growth in this region. 

Asia-Pacific will continue to project the highest compound annual growth rate during the forecast period of 2023-2030 because opportunities for the smaller graph database sellers to launch graph database solutions for many sectors have considerably increased in this region.

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Drivers

• Increasing demand for solutions with the capability to process low-latency queries

Graph database tools and services are extensively being used all over the globe, to the extent that numerous legacy database providers are endeavoring to assimilate graph database schemas into their main relational database infrastructures. Whereas, in theory the strategy might seem to save money, but actually it might degrade and slow down the performance of queries run beside the database. A graph database is altering traditional brick-and-mortar trades into digital business powerhouses in the terms of digital business activities. Therefore, increasing demand for solutions with the capability to process low-latency queries is anticipated to drive the growth rate of the market

• Growing usage of graph database technology

Manufacturers extensively use graph database technology, particularly for business data management, with applications in numerous industries and sectors. The graph database technology has a numerous advantages as compared to other database systems, for resolving problems that arise while evaluating complicated and large data. These systems have capacity to s manage and scale massive data or information sets that come naturally.

Opportunities

• Growing demand for low-latency query processing solutions

Businesses encounter problems when storing massive volumes of connected data in a database which is not suitable for any precise purpose. Now businesses deploy a real-time recommendation system that can handle low-latency queries rather than cumbersome batch process on top of a common relational database. It considerably outperforms conventional relational databases by enabling users to specially query prior purchases made by customers during an online visit to match session and historical data. There is less latency by using a graph database. Moreover, millions of connected records can be browsed with a reliable response time irrespective of database size meanwhile the links and nodes "point" to one another. To attain low latency, queries are divided into sub-queries that run instantaneously. Thus, growing demand for low-latency query processing solutions will create immense opportunities for market growth.

Restraints

• Complex programming and standardization

While graph databases are technically NoSQL databases that must run on a single server in practice because these databases cannot be distributed in a low-cost cluster. This is what causes a network's performance to rapidly decline. Another major disadvantage is that the developers must write their inquiries in Java as there is no SQL to save data from graph databases, which necessitates hiring expensive programmers. All these are some of the major factors restraining the market's growth.

This graph database market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the graph database market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

How does this Graph Database Market Insights Help?

• Global Graph Database Market share (regional, product, application, end-user) both in terms of volume and revenue along with CAGR
• The Key parameters which are driving this market and restraining its growth
• What all challenges manufacturers will face as well as new opportunities and threats faced by them
• To learn about the market strategies that are being adopted by your competitors and leading organizations
• To Increase insightful analyses of the market and have a comprehensive understanding of the “Graph Database Market” and its commercial landscape
   
   TABLE OF CONTENTS
• Part 01: Executive Summary
• Part 02: Scope Of The Report
• Part 03: Research Methodology
• Part 04: Market Landscape
• Part 05: Pipeline Analysis
• Part 06: Market Sizing
• Part 07: Five Forces Analysis
• Part 08: Market Segmentation
• Part 09: Customer Landscape
• Part 10: Regional Landscape
• Part 11: Decision Framework
• Part 12: Drivers And Challenges
• Part 13: Market Trends
• Part 14: Vendor Landscape
• Part 15: Vendor Analysis
• Part 16: Appendix

For Detailed TOC | Follow @  https://www.databridgemarketresearch.com/toc/?dbmr=global-graph-database-market

Queries Resolved In This Report:

1. Which will be the specialties at which Graph Database Market players profiling with intensive designs, financials, and furthermore, ongoing headways should set nearness?
2. Which will be the foreseen development rates for your own Graph Database economy out and out and furthermore for each portion inside?
3. Which will be the Graph Database application and sorts and estimate joined intently by makers?
4. Which will be the dangers which will attack growth?
5. The length of the global Graph Database market opportunity?
6. How Graph Database Market share advance vacillations their value from various assembling brands?

WHO SHOULD BUY THE GLOBAL GRAPH DATABASE REPORT?

People looking to enrich the decision-making capability by following points must buy the report:

1. Breakdown of market share of the top Graph Database industry players
2. Evaluations of market share for the regional and country level sectors
3. Estimation of Graph Database market for the forecast period of all the aforementioned classes, sub classes, and the domestic markets
4. Tactical recommendation for the newbies
5. Tactical recommendation in primary business industries based on the Graph Database market forecast

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