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全球圖分析市場：預測至 2032 年－按組件、部署方式、組織規模、應用、最終用戶和地區進行分析

Graph Analytics Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Deployment Model, Organization Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球圖分析市場價值將達到 27.9 億美元，到 2032 年將達到 148.8 億美元，在預測期內的複合年成長率為 27%。

圖分析是一種資料分析技術，它將資料建模為由節點（實體）和邊（關係）組成的圖，並專注於理解實體之間的關係和連結。這使得分析複雜的互連數據成為可能，揭示使用傳統數值表格方法難以發現的模式、依賴關係和洞見。圖分析被廣泛用於識別關鍵節點、發現社群、分析網路行為以及揭示隱藏關係。透過提供更深層的脈絡和關係洞察，它在詐欺偵測、建議系統、社交網路分析、網路安全、供應鏈最佳化和知識圖譜等應用中發揮關鍵作用。

社交網路數據的使用日益廣泛

各組織機構越來越依賴圖分析來挖掘海量資料集中的關係和模式。平台能夠提供消費行為、詐欺偵測和建議系統的深入洞察。供應商正在推出可擴展的圖引擎，以提升效能和準確性。對即時分析日益成長的需求正在加速零售、電信和金融服務等行業的應用。社交網路數據的快速成長使圖分析成為數位智慧的關鍵基礎技術。

圖分析專業知識有限

企業難以找到能夠管理複雜圖資料庫和演算法的人才。與擁有完善培訓體系的成熟企業相比，中小企業面臨的挑戰更大。圖技術陡峭的學習曲線阻礙了其普及應用。供應商正加大對培訓舉措和簡化工具的投入，以減少對專業知識的依賴。熟練專業人員的短缺使得員工的技能水準成為圖分析解決方案規模化發展的決定性因素。

人工智慧驅動的即時圖智慧解決方案

對預測性洞察日益成長的需求正在推動人工智慧與圖分析相結合的平台的普及。即時智慧能夠實現詐欺防制、網路安全監控和動態個人化。供應商正在將機器學習演算法整合到圖引擎中，以提升響應速度。對人工智慧驅動的分析技術的投資不斷增加，正在推動銀行、醫療保健和電子商務等行業的需求成長。即時圖智慧的興起正在將分析從靜態重新定義為主動和自適應。

資料隱私和監管合規挑戰

企業在處理敏感個人和財務資訊的系統方面面臨日益嚴格的審查。與資源雄厚的產業巨頭相比，小規模的供應商更難維持合規性。區域法規結構也增加了部署策略的複雜性。供應商正在整合加密和匿名化功能以增強信任。日益成長的監管負擔正在重塑優先事項，使得隱私保護成為圖分析成功的關鍵。

新冠疫情的感染疾病：

新冠疫情加速了對圖分析的需求，因為企業需要更深入地了解不斷變化的消費行為。一方面，供應鏈中斷延緩了基礎設施計劃和現代化改造的進程；另一方面，對數位平台的日益依賴推動了基於圖的智慧技術的應用。在動盪時期，企業擴大利用圖分析來追蹤詐欺、虛假資訊和出行模式。供應商整合了即時監控和人工智慧驅動的功能，以增強系統的韌性。疫情凸顯了圖分析在幫助企業根據快速變化的環境調整決策的必要性。

在預測期內，雲端細分市場將佔據最大的市場佔有率。

在對可擴展和靈活部署模式的需求驅動下，預計雲端解決方案將在預測期內佔據最大的市場佔有率。企業正在將雲端圖引擎整合到其工作流程中，以提高可存取性和效能。供應商正在開發整合即時分析、視覺化和管治功能的解決方案。對經濟高效的基礎設施日益成長的需求正在加速該領域的普及。企業將雲端平台視為維持營運彈性和敏捷性的關鍵。雲端解決方案的主導地位反映了其作為現代圖分析生態系統基礎的角色。

網路安全和威脅情報領域在預測期內將呈現最高的複合年成長率。

受對高階安全分析日益成長的需求驅動，網路安全和威脅情報領域預計將在預測期內實現最高成長率。企業越來越需要基於圖的智慧來偵測異常並預防網路攻擊。供應商正在將即時監控和人工智慧驅動的檢測整合到安全工作流程中。從中小企業到大型機構，都能受益於可應對各種威脅環境的可擴展解決方案。對網路安全韌性的持續投入正在推動該領域的需求。威脅情報的成長凸顯了圖分析作為第一道防線機制的重新定義作用。

佔比最大的地區：

由於北美擁有成熟的數位基礎設施和強大的企業級圖分析應用，預計該地區在預測期內將保持最大的市場佔有率。美國和加拿大公司在投資增強詐欺偵測、個人化和網路安全的平台方面處於主導。主要技術提供商的存在進一步鞏固了該地區的領先地位。對隱私法規合規性的日益成長的需求正在推動各行業採用相關技術。供應商正在整合先進的人工智慧驅動框架，以在競爭激烈的市場中脫穎而出。

年複合成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於快速的數位化、不斷成長的行動網路普及率以及政府主導的智慧城市計劃。中國、印度和東南亞國家等正在大幅增加對圖分析的投資，以支援電子商務、行動旅遊和金融服務。本地Start-Ups正在部署針對高密度城市環境客製化的、具成本效益的解決方案。企業正在採用預測分析來增強可擴展性並滿足消費者需求。政府推行的數位轉型和數據驅動創新計畫正在加速這一進程。亞太地區的成長軌跡以其快速擴展分析創新的能力為特徵，使其成為全球成長最快的圖智慧中心。

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訂閱本報告的用戶可從以下免費自訂選項中選擇一項：

  • 公司簡介
    • 對最多三家其他公司進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
  • 競爭標竿分析
    • 基於產品系列、地域覆蓋和策略聯盟對主要企業進行基準分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
  • 分析材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球圖分析市場（按組件分類）

  • 軟體
    • 圖資料庫
    • 圖表處理和查詢引擎
    • 圖分析與演算法平台
    • 圖形視覺化和探索工具
  • 服務
    • 諮詢和策略服務
    • 整合和實施服務
    • 託管服務、外包服務

第6章 全球圖分析市場依部署方式分類

  • 基於雲端的
  • 本地部署

7. 按組織規模分類的全球圖分析市場

  • 主要企業
  • 中小企業

第8章：全球圖分析市場（按應用分類）

  • 詐欺和風險分析
  • 網路安全與威脅情報
  • 客戶分析與方案分析
  • 供應鏈網路最佳化
  • 社會網路分析
  • 其他用途

9. 全球圖分析市場（依最終用戶分類）

  • BFSI
  • 醫療保健
  • 零售與電子商務
  • 資訊科技/通訊
  • 製造業
  • 政府/公共部門
  • 媒體與娛樂
  • 其他最終用戶

第10章：全球圖分析市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品上市
  • 業務拓展
  • 其他關鍵策略

第12章：公司簡介

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Amazon Web Services, Inc.
  • Google Cloud
  • SAP SE
  • Neo4j, Inc.
  • TigerGraph, Inc.
  • DataStax, Inc.
  • Teradata Corporation
  • Cloudera, Inc.
  • SAS Institute Inc.
  • TIBCO Software Inc.
  • Lynx Analytics Pte. Ltd.
  • Kineviz, Inc.
Product Code: SMRC33267

According to Stratistics MRC, the Global Graph Analytics Market is accounted for $2.79 billion in 2025 and is expected to reach $14.88 billion by 2032 growing at a CAGR of 27% during the forecast period. Graph analytics is a data analysis approach that focuses on understanding relationships and connections between entities by modeling data as graphs composed of nodes (entities) and edges (relationships). It enables the analysis of complex, interconnected data to uncover patterns, dependencies, and insights that are difficult to detect using traditional tabular methods. Graph analytics is widely used to identify influential nodes, detect communities, analyze network behavior, and discover hidden relationships. It plays a critical role in applications such as fraud detection, recommendation systems, social network analysis, cybersecurity, supply chain optimization, and knowledge graphs by providing deeper contextual and relational insights.

Market Dynamics:

Driver:

Growth in social network data usage

Organizations increasingly rely on graph analytics to uncover relationships and patterns within massive datasets. Platforms enable advanced insights into consumer behavior, fraud detection, and recommendation systems. Vendors are deploying scalable graph engines to strengthen performance and accuracy. Rising demand for real-time analysis is amplifying adoption across industries such as retail, telecom, and financial services. The surge in social network data usage is positioning graph analytics as a critical enabler of digital intelligence.

Restraint:

Limited skilled graph analytics professionals

Enterprises struggle to find talent capable of managing complex graph databases and algorithms. Smaller firms face higher challenges compared to incumbents with established training programs. The steep learning curve associated with graph technologies slows adoption. Vendors are investing in training initiatives and simplified tools to reduce reliance on specialized expertise. The shortage of skilled professionals is making workforce readiness a decisive factor for scaling graph analytics solutions.

Opportunity:

AI-driven real-time graph intelligence solutions

Demand for predictive insights is driving adoption of platforms that combine AI with graph analytics. Real-time intelligence enables fraud prevention, cybersecurity monitoring, and dynamic personalization. Vendors are embedding machine learning algorithms into graph engines to strengthen responsiveness. Rising investment in AI-powered analytics is amplifying demand across sectors such as banking, healthcare, and e-commerce. The growth of real-time graph intelligence is redefining analytics as proactive and adaptive rather than static.

Threat:

Data privacy and regulatory compliance challenges

Enterprises face rising scrutiny over systems that process sensitive personal and financial information. Smaller providers struggle to maintain compliance compared to incumbents with larger resources. Regulatory frameworks across regions add complexity to deployment strategies. Vendors are embedding encryption and anonymization features to strengthen trust. The growing regulatory burden is reshaping priorities making privacy resilience central to graph analytics success.

Covid-19 Impact:

The Covid-19 pandemic accelerated demand for graph analytics as enterprises sought deeper insights into shifting consumer behavior. On one hand, supply chain disruptions slowed infrastructure projects and delayed modernization efforts. On the other hand, rising reliance on digital platforms boosted adoption of graph-based intelligence. Enterprises increasingly relied on graph analytics to track fraud, misinformation, and mobility patterns during volatile conditions. Vendors embedded real-time monitoring and AI-driven features to strengthen resilience. The pandemic underscored graph analytics as essential for adapting decision-making to rapidly changing environments.

The cloud-based segment is expected to be the largest during the forecast period

The cloud-based segment is expected to account for the largest market share during the forecast period, driven by demand for scalable and flexible deployment models. Enterprises are embedding cloud-based graph engines into workflows to strengthen accessibility and performance. Vendors are developing solutions that integrate real-time analytics, visualization, and governance features. Rising demand for cost-effective infrastructure is amplifying adoption in this segment. Enterprises view cloud-based platforms as critical for sustaining operational resilience and agility. The dominance of cloud-based solutions reflects their role as the backbone of modern graph analytics ecosystems.

The cybersecurity & threat intelligence segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cybersecurity & threat intelligence segment is predicted to witness the highest growth rate, supported by rising demand for advanced security analytics. Enterprises increasingly require graph-based intelligence to detect anomalies and prevent cyberattacks. Vendors are embedding real-time monitoring and AI-driven detection into security workflows. SMEs and large institutions benefit from scalable solutions tailored to diverse threat landscapes. Rising investment in cybersecurity resilience is amplifying demand in this segment. The growth of threat intelligence highlights its role in redefining graph analytics as a frontline defense mechanism.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share by mature digital infrastructure and strong enterprise adoption of graph analytics. Enterprises in the United States and Canada are leading investments in platforms that strengthen fraud detection, personalization, and cybersecurity. The presence of major technology providers further enhances regional dominance. Rising demand for compliance with privacy regulations is amplifying adoption across industries. Vendors are embedding advanced AI-driven frameworks to differentiate offerings in competitive markets.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapid digitalization, expanding mobile penetration, and government-led smart city initiatives. Countries such as China, India, and Southeast Asia are investing heavily in graph analytics to support e-commerce, mobility, and financial services. Local startups are deploying cost-effective solutions tailored to dense urban environments. Enterprises are adopting predictive analytics to strengthen scalability and meet consumer demand. Government programs promoting digital transformation and data-driven innovation are accelerating adoption. Asia Pacific's trajectory is defined by its ability to scale analytics innovation quickly positioning it as the fastest-growing hub for graph intelligence worldwide.

Key players in the market

Some of the key players in Graph Analytics Market include IBM Corporation, Microsoft Corporation, Oracle Corporation, Amazon Web Services, Inc., Google Cloud, SAP SE, Neo4j, Inc., TigerGraph, Inc., DataStax, Inc., Teradata Corporation, Cloudera, Inc., SAS Institute Inc., TIBCO Software Inc., Lynx Analytics Pte. Ltd. and Kineviz, Inc.

Key Developments:

In October 2024, Microsoft and Neo4j announced a strategic collaboration to integrate Neo4j's graph database technology deeply within the Microsoft Azure ecosystem, including Azure Data Manager for Agriculture. This partnership aims to provide developers with native Azure integrations, simplifying the building of intelligent applications that leverage interconnected data for insights.

In November 2023, WS announced a strategic collaboration with Neo4j, integrating Neo4j's graph database technology with AWS services like Amazon SageMaker. This partnership aimed to provide customers with enhanced machine learning and graph analytics workflows on the cloud platform.

Components Covered:

  • Software
  • Services

Deployment Models Covered:

  • Cloud-Based
  • On-Premise

Organization Sizes Covered:

  • Large Enterprises
  • Small & Medium Enterprises (SMEs)

Applications Covered:

  • Fraud & Risk Analytics
  • Cybersecurity & Threat Intelligence
  • Customer & Recommendation Analytics
  • Supply Chain & Network Optimization
  • Social Network Analysis
  • Other Applications

End Users Covered:

  • BFSI
  • Healthcare
  • Retail & E-Commerce
  • IT & Telecommunications
  • Manufacturing
  • Government & Public Sector
  • Media & Entertainment
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Graph Analytics Market, By Component

  • 5.1 Introduction
  • 5.2 Software
    • 5.2.1 Graph Databases
    • 5.2.2 Graph Processing & Query Engines
    • 5.2.3 Graph Analytics & Algorithms Platforms
    • 5.2.4 Graph Visualization & Exploration Tools
  • 5.3 Services
    • 5.3.1 Consulting & Strategy Services
    • 5.3.2 Integration & Implementation Services
    • 5.3.3 Managed & Outsourced Services

6 Global Graph Analytics Market, By Deployment Model

  • 6.1 Introduction
  • 6.2 Cloud-Based
  • 6.3 On-Premise

7 Global Graph Analytics Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Large Enterprises
  • 7.3 Small & Medium Enterprises (SMEs)

8 Global Graph Analytics Market, By Application

  • 8.1 Introduction
  • 8.2 Fraud & Risk Analytics
  • 8.3 Cybersecurity & Threat Intelligence
  • 8.4 Customer & Recommendation Analytics
  • 8.5 Supply Chain & Network Optimization
  • 8.6 Social Network Analysis
  • 8.7 Other Applications

9 Global Graph Analytics Market, By End User

  • 9.1 Introduction
  • 9.2 BFSI
  • 9.3 Healthcare
  • 9.4 Retail & E-Commerce
  • 9.5 IT & Telecommunications
  • 9.6 Manufacturing
  • 9.7 Government & Public Sector
  • 9.8 Media & Entertainment
  • 9.9 Other End Users

10 Global Graph Analytics Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 IBM Corporation
  • 12.2 Microsoft Corporation
  • 12.3 Oracle Corporation
  • 12.4 Amazon Web Services, Inc.
  • 12.5 Google Cloud
  • 12.6 SAP SE
  • 12.7 Neo4j, Inc.
  • 12.8 TigerGraph, Inc.
  • 12.9 DataStax, Inc.
  • 12.10 Teradata Corporation
  • 12.11 Cloudera, Inc.
  • 12.12 SAS Institute Inc.
  • 12.13 TIBCO Software Inc.
  • 12.14 Lynx Analytics Pte. Ltd.
  • 12.15 Kineviz, Inc.

List of Tables

  • Table 1 Global Graph Analytics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Graph Analytics Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Graph Analytics Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global Graph Analytics Market Outlook, By Graph Databases (2024-2032) ($MN)
  • Table 5 Global Graph Analytics Market Outlook, By Graph Processing & Query Engines (2024-2032) ($MN)
  • Table 6 Global Graph Analytics Market Outlook, By Graph Analytics & Algorithms Platforms (2024-2032) ($MN)
  • Table 7 Global Graph Analytics Market Outlook, By Graph Visualization & Exploration Tools (2024-2032) ($MN)
  • Table 8 Global Graph Analytics Market Outlook, By Services (2024-2032) ($MN)
  • Table 9 Global Graph Analytics Market Outlook, By Consulting & Strategy Services (2024-2032) ($MN)
  • Table 10 Global Graph Analytics Market Outlook, By Integration & Implementation Services (2024-2032) ($MN)
  • Table 11 Global Graph Analytics Market Outlook, By Managed & Outsourced Services (2024-2032) ($MN)
  • Table 12 Global Graph Analytics Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 13 Global Graph Analytics Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 14 Global Graph Analytics Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 15 Global Graph Analytics Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 16 Global Graph Analytics Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 17 Global Graph Analytics Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 18 Global Graph Analytics Market Outlook, By Application (2024-2032) ($MN)
  • Table 19 Global Graph Analytics Market Outlook, By Fraud & Risk Analytics (2024-2032) ($MN)
  • Table 20 Global Graph Analytics Market Outlook, By Cybersecurity & Threat Intelligence (2024-2032) ($MN)
  • Table 21 Global Graph Analytics Market Outlook, By Customer & Recommendation Analytics (2024-2032) ($MN)
  • Table 22 Global Graph Analytics Market Outlook, By Supply Chain & Network Optimization (2024-2032) ($MN)
  • Table 23 Global Graph Analytics Market Outlook, By Social Network Analysis (2024-2032) ($MN)
  • Table 24 Global Graph Analytics Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 25 Global Graph Analytics Market Outlook, By End User (2024-2032) ($MN)
  • Table 26 Global Graph Analytics Market Outlook, By BFSI (2024-2032) ($MN)
  • Table 27 Global Graph Analytics Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 28 Global Graph Analytics Market Outlook, By Retail & E-Commerce (2024-2032) ($MN)
  • Table 29 Global Graph Analytics Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
  • Table 30 Global Graph Analytics Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 31 Global Graph Analytics Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 32 Global Graph Analytics Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 33 Global Graph Analytics Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.