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1547732

全球圖數據庫市場研究報告 - 2024 年至 2032 年行業分析、規模、佔有率、成長、趨勢和預測

Global Graph Database Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

出版日期: 2024年07月01日 | 出版商:

Value Market Research | 英文 170 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

全球圖資料庫市場需求預計將從 2023 年的 37.9 億美元達到近 232.4 億美元的市場規模，2024-2032 年研究期間複合年成長率為 22.33%。

圖資料庫是旨在處理資料之間關係的資料庫。它使用圖結構進行語義查詢，透過節點、邊和屬性來表徵和儲存資料。它的目的是保存資料而不將其壓縮到預先定義的模型。它最適合儲存在傳統關係型資料庫中無法儲存的複雜資料結構。它允許在圖中包含不同類型的物件和不同類型的關係。圖資料庫適合處理實體之間相互依賴關係的應用程式。一些已知的圖形資料庫範例包括 OrientDB、Neo4j、Amazon Neptune、ArangoDB、FlockDB、DataStax 等。

市場動態

具有互聯資料的業務應用程式不斷成長，以及對能夠處理全球低延遲查詢的系統的需求不斷增加，是推動圖資料庫市場的主要因素。不斷擴大的企業資料量加上從現有資料中創建洞察力的新興重要性，促進了圖資料庫市場的成長。此外，對資料貨幣化解決方案的日益關注以及對主資料管理解決方案的高需求正在對圖資料庫市場的成長產生積極影響。此外，虛擬化在巨量資料分析中的快速使用以及圖數據庫技術的進步可能會在未來幾年為圖數據庫市場的主要參與者提供盈利成長機會。

研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外，這些工具也對全球圖資料庫市場的每個細分市場進行了包容性評估。圖資料庫產業的成長和趨勢為本研究提供了整體方法。

市場區隔

圖資料庫市場報告的這一部分提供了國家和地區層面細分市場的詳細資料，從而幫助策略家確定相應產品或服務的目標人口統計數據以及即將到來的機會。

按組件

解決方案
服務

按類型

SQL
非SQL

按最終用途

BFSI
零售與電子商務

區域分析

本節涵蓋區域前景，重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲圖數據庫市場當前和未來的需求。此外，該報告重點關注所有主要地區各個應用領域的需求、估計和預測。

該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。圖資料庫市場的主要參與者包括 Oracle Corporation、IBM、Neo4j Inc.、Stardog、Amazon Web Services Inc.、Microsoft、ArangoDB Inc.、TigerGraph、Progress Software Corporation (MarkLogic)、DataStax。本節包含競爭格局的整體視圖，包括各種策略發展，例如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。

如果您有任何客製化要求，請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。

區域展望
介紹
北美銷售分析
- 概覽、歷史與預測資料銷售分析
- 北美按細分市場銷售分析
- 北美按國家銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 歐洲按細分市場銷售分析
- 歐洲按國家銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概覽、歷史與預測資料銷售分析
- 亞太地區按細分市場銷售分析
- 亞太地區按國家銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 拉丁美洲按細分市場銷售分析
- 拉丁美洲按國家銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 中東和非洲按細分市場銷售分析
- 中東和非洲按國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東其他地區和非洲銷售分析

第 9 章：圖數據庫公司的競爭格局

圖資料庫市場競爭
夥伴關係/協作/協議
併購
新產品發布
其他發展

第 10 章：公司簡介

頂級公司市佔率分析
市場集中度
Oracle Corporation

公司概況
公司收入
產品
最新動態

公司概況
公司收入
產品
最新動態

Neo4j Inc.

公司概況
公司收入
產品
最新動態

Stardog

公司概況
公司收入
產品
最新動態

Amazon Web Services Inc.

公司概況
公司收入
產品
最新動態

Microsoft

公司概況
公司收入
產品
最新動態

ArangoDB Inc.

公司概況
公司收入
產品
最新動態

TigerGraph

公司概況
公司收入
產品
最新動態

Progress Software Corporation (MarkLogic)

公司概況
公司收入
產品
最新動態

DataStax

公司概況
公司收入
產品
最新動態

註 - 在公司概況中，財務詳細資訊和最新發展視情況而定，或對私人公司而言可能不包括在內

簡介目錄圖表

Product Code: VMR11213602

The global demand for Graph Database Market is presumed to reach the market size of nearly USD 23.24 Billion by 2032 from USD 3.79 Billion in 2023 with a CAGR of 22.33% under the study period 2024-2032.

A graph database is a database intended to treat the relationships between data. It uses graph structures for semantic queries with nodes, edges, and properties to characterize and store data. It is intended to hold data without compressing it to a pre-defined model. It is best for storing complex data structures that would be infeasible to store in a traditional relational database. It allows including diverse kinds of objects and different kinds of relationships in the graph. Graph databases are suited for applications that deal with the interdependencies between entities. Some of the known graph database examples are OrientDB, Neo4j, Amazon Neptune, ArangoDB, FlockDB, DataStax, etc.

MARKET DYNAMICS

The growing business applications with connected data and increasing demand for systems capable of processing low latency queries worldwide are the primary factors driving the graph database market. The expanding enterprise data volumes coupled with emergent significance to create insight from existing data, contributing to the graph database market's growth. Also, the rising focus on data monetization solutions and high demand for master data management solutions are positively impacting the growth of the graph database market. Moreover, the rapid use of virtualization for big data analytics and technological advancements in graph database technology is likely to provide profitable growth opportunities for key players of the graph database market in the coming years.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of Graph Database. The growth and trends of Graph Database industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the Graph Database market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

Solution
Service

By Type

SQL
Non-SQL

By End-Use

BFSI
Retail & E-commerce

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Graph Database market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Graph Database market include Oracle Corporation, IBM, Neo4j Inc., Stardog, Amazon Web Services Inc., Microsoft, ArangoDB Inc., TigerGraph, Progress Software Corporation (MarkLogic), DataStax. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. GRAPH DATABASE - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Type
- 3.7.3 Market Attractiveness Analysis By End-Use
- 3.7.4 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL GRAPH DATABASE MARKET ANALYSIS BY COMPONENT

5.1. Overview By Component
5.2. Historical and Forecast Data
5.3. Analysis By Component
5.4. Solution Historic and Forecast Sales By Regions
5.5. Service Historic and Forecast Sales By Regions

6. GLOBAL GRAPH DATABASE MARKET ANALYSIS BY TYPE

6.1. Overview By Type
6.2. Historical and Forecast Data
6.3. Analysis By Type
6.4. SQL Historic and Forecast Sales By Regions
6.5. Non-SQL Historic and Forecast Sales By Regions

7. GLOBAL GRAPH DATABASE MARKET ANALYSIS BY END-USE

7.1. Overview By End-Use
7.2. Historical and Forecast Data
7.3. Analysis By End-Use
7.4. BFSI Historic and Forecast Sales By Regions
7.5. Retail & E-commerce Historic and Forecast Sales By Regions

8. GLOBAL GRAPH DATABASE MARKET ANALYSIS BY GEOGRAPHY

8.1. Regional Outlook
8.2. Introduction
8.3. North America Sales Analysis
- 8.3.1 Overview, Historic and Forecast Data Sales Analysis
- 8.3.2 North America By Segment Sales Analysis
- 8.3.3 North America By Country Sales Analysis
- 8.3.4 United States Sales Analysis
- 8.3.5 Canada Sales Analysis
- 8.3.6 Mexico Sales Analysis
8.4. Europe Sales Analysis
- 8.4.1 Overview, Historic and Forecast Data Sales Analysis
- 8.4.2 Europe By Segment Sales Analysis
- 8.4.3 Europe By Country Sales Analysis
- 8.4.4 United Kingdom Sales Analysis
- 8.4.5 France Sales Analysis
- 8.4.6 Germany Sales Analysis
- 8.4.7 Italy Sales Analysis
- 8.4.8 Russia Sales Analysis
- 8.4.9 Rest Of Europe Sales Analysis
8.5. Asia Pacific Sales Analysis
- 8.5.1 Overview, Historic and Forecast Data Sales Analysis
- 8.5.2 Asia Pacific By Segment Sales Analysis
- 8.5.3 Asia Pacific By Country Sales Analysis
- 8.5.4 China Sales Analysis
- 8.5.5 India Sales Analysis
- 8.5.6 Japan Sales Analysis
- 8.5.7 South Korea Sales Analysis
- 8.5.8 Australia Sales Analysis
- 8.5.9 South East Asia Sales Analysis
- 8.5.10 Rest Of Asia Pacific Sales Analysis
8.6. Latin America Sales Analysis
- 8.6.1 Overview, Historic and Forecast Data Sales Analysis
- 8.6.2 Latin America By Segment Sales Analysis
- 8.6.3 Latin America By Country Sales Analysis
- 8.6.4 Brazil Sales Analysis
- 8.6.5 Argentina Sales Analysis
- 8.6.6 Peru Sales Analysis
- 8.6.7 Chile Sales Analysis
- 8.6.8 Rest of Latin America Sales Analysis
8.7. Middle East & Africa Sales Analysis
- 8.7.1 Overview, Historic and Forecast Data Sales Analysis
- 8.7.2 Middle East & Africa By Segment Sales Analysis
- 8.7.3 Middle East & Africa By Country Sales Analysis
- 8.7.4 Saudi Arabia Sales Analysis
- 8.7.5 UAE Sales Analysis
- 8.7.6 Israel Sales Analysis
- 8.7.7 South Africa Sales Analysis
- 8.7.8 Rest Of Middle East And Africa Sales Analysis

9. COMPETITIVE LANDSCAPE OF THE GRAPH DATABASE COMPANIES

9.1. Graph Database Market Competition
9.2. Partnership/Collaboration/Agreement
9.3. Merger And Acquisitions
9.4. New Product Launch
9.5. Other Developments

10. COMPANY PROFILES OF GRAPH DATABASE INDUSTRY

10.1. Top Companies Market Share Analysis
10.2. Market Concentration Rate
10.3. Oracle Corporation
- 10.3.1 Company Overview
- 10.3.2 Company Revenue
- 10.3.3 Products
- 10.3.4 Recent Developments
10.4. IBM
- 10.4.1 Company Overview
- 10.4.2 Company Revenue
- 10.4.3 Products
- 10.4.4 Recent Developments
10.5. Neo4j Inc.
- 10.5.1 Company Overview
- 10.5.2 Company Revenue
- 10.5.3 Products
- 10.5.4 Recent Developments
10.6. Stardog
- 10.6.1 Company Overview
- 10.6.2 Company Revenue
- 10.6.3 Products
- 10.6.4 Recent Developments
10.7. Amazon Web Services Inc.
- 10.7.1 Company Overview
- 10.7.2 Company Revenue
- 10.7.3 Products
- 10.7.4 Recent Developments
10.8. Microsoft
- 10.8.1 Company Overview
- 10.8.2 Company Revenue
- 10.8.3 Products
- 10.8.4 Recent Developments
10.9. ArangoDB Inc.
- 10.9.1 Company Overview
- 10.9.2 Company Revenue
- 10.9.3 Products
- 10.9.4 Recent Developments
10.10. TigerGraph
- 10.10.1 Company Overview
- 10.10.2 Company Revenue
- 10.10.3 Products
- 10.10.4 Recent Developments
10.11. Progress Software Corporation (MarkLogic)
- 10.11.1 Company Overview
- 10.11.2 Company Revenue
- 10.11.3 Products
- 10.11.4 Recent Developments
10.12. DataStax
- 10.12.1 Company Overview
- 10.12.2 Company Revenue
- 10.12.3 Products
- 10.12.4 Recent Developments