市場調查報告書
商品編碼
1298719
圖形數據庫市場:2023-2028年全球行業趨勢、佔有率、規模、成長、機會及預測Graph Database Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028 |
2022年,全球圖形數據庫市場規模達到14億美元。展望未來,IMARC Group預計到2028年,該市場規模將達到48億美元,2023-2028年期間的年復合成長率(CAGR)將達到21.2%。
圖數據庫是一種數據模型符合圖、網路或鏈接結構的數據庫。它將數據存儲在節點和邊的集合中,而不是列和行。目前,圖數據庫在全球範圍內廣泛應用於客戶分析、推薦引擎、主數據管理、身份和訪問管理以及欺詐檢測和風險管理。
圖數據庫解決方案在零售、資訊技術(IT)、電信、製造、運輸以及銀行、金融服務和保險(BFSI)等不同垂直行業的應用不斷增加,這是推動市場成長的關鍵因素之一。此外,這些解決方案還可用於智慧電網,因為它們針對圖形數據模型進行了最佳化。它們還可用於供應鏈管理、社交媒體資料探勘和銷售,以確定客戶線上行為之間的相互聯繫。除此以外,圖數據庫解決方案還具有固有的靈活性,可以通過新的頂點和邊類型輕鬆擴展圖。除此之外,它們還有助於避免生成和複製許多表格,從而降低數據庫的複雜性並提高數據的可訪問性。此外,與傳統數據庫解決方案相比,它們在索引、計算能力、存儲和查詢方面具有競爭優勢。這一點,再加上基於人工智慧(AI)的圖數據庫工具和服務在全球範圍內的應用日益廣泛,推動了市場的發展。此外,基於圖數據庫解決方案的醫療保健系統可提供整體、統一的健康數據視圖,幫助醫生快速診斷和預測疾病。這一點,以及對雲端運算技術的日益依賴,正在催化全球對圖數據庫解決方案的需求。
The global graph database market size reached US$ 1.4 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 4.8 Billion by 2028, exhibiting a growth rate (CAGR) of 21.2% during 2023-2028.
A graph database is a database wherein the data model conforms to a graph, network, or link structure. It stores data in collections of nodes and edges instead of columns and rows. It currently finds extensive applications in customer analytics, recommendation engines, master data management, identity and access management, and fraud detection and risk management worldwide.
The rising usage of graph database solutions in different industry verticals, such as retail, information technology (IT), telecommunications, manufacturing, transportation, and banking, financial services and insurance (BFSI), represents one of the key factors propelling the market growth. Moreover, these solutions are used in smart grids as they are optimized for graph data models. They are also utilized in supply chain management, data mining of social media data, and sales to determine interconnections between the online actions of a customer. Apart from this, graph database solutions are inherently flexible, and graphs can be extended with new vertices and edge types with ease. Besides this, they assist in avoiding the generation and replication of many tables, thereby reducing complexity in a database and enhancing data accessibility. In addition, they have a competitive advantage over traditional database solutions in terms of indexing, computing power, storage, and querying. This, coupled with the growing adoption of artificial intelligence (AI) based graph database tools and services around the world, is driving the market. Furthermore, healthcare systems based on graph database solutions provide a holistic and unified view of health data, which helps doctors diagnose and predict diseases quickly. This, along with the increasing reliance on cloud computing technology, is catalyzing the demand for graph database solutions across the globe.
IMARC Group provides an analysis of the key trends in each sub-segment of the global graph database market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on component, type of database, analysis type, deployment model, application and industry vertical.
Software
Services
Relational (SQL)
Non-Relational (NoSQL)
Path Analysis
Connectivity Analysis
Community Analysis
Centrality Analysis
On-premises
Cloud-based
Fraud Detection and Risk Management
Master Data Management
Customer Analytics
Identity and Access Management
Recommendation Engine
Privacy and Risk Compliance
Others
BFSI
Retail and E-Commerce
IT and Telecom
Healthcare and Life Science
Government and Public Sector
Media and Entertainment
Manufacturing
Transportation and Logistics
Others
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
The competitive landscape of the industry has also been examined along with the profiles of the key players being Amazon Web Services Inc. (Amazon.com Inc.), Datastax Inc., Franz Inc., International Business Machines Corporation, Marklogic Corporation, Microsoft Corporation, Neo4j Inc., Objectivity Inc., Oracle Corporation, Stardog Union, Tibco Software Inc. and Tigergraph Inc.
Key Questions Answered in This Report
1. What was the size of the global graph database market in 2022?
2. What is the expected growth rate of the global graph database market during 2023-2028?
3. What are the key factors driving the global graph database market?
4. What has been the impact of COVID-19 on the global graph database market?
5. What is the breakup of the global graph database market based on the component?
6. What is the breakup of the global graph database market based on the type of database?
7. What is the breakup of the global graph database market based on the analysis type?
8. What is the breakup of the global graph database market based on the deployment model?
9. What is the breakup of the global graph database market based on the industry vertical?
10. What are the key regions in the global graph database market?
11. Who are the key players/companies in the global graph database market?