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市场调查报告书
商品编码
1916694

全球图分析市场：预测至 2032 年－按组件、部署方式、组织规模、应用、最终用户和地区进行分析

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个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球图分析市场价值将达到 27.9 亿美元，到 2032 年将达到 148.8 亿美元，在预测期内的复合年增长率为 27%。

图分析是一种资料分析技术，它将资料建模为由节点（实体）和边（关係）组成的图，并专注于理解实体之间的关係和连结。这使得分析复杂的互连数据成为可能，揭示使用传统数值表格方法难以发现的模式、依赖关係和洞见。图分析被广泛用于识别关键节点、发现社群、分析网路行为以及揭示隐藏关係。透过提供更深层的脉络和关係洞察，它在诈欺侦测、建议系统、社交网路分析、网路安全、供应链优化和知识图谱等应用中发挥关键作用。

社交网路数据的使用日益广泛

各组织机构越来越依赖图分析来挖掘海量资料集中的关係和模式。平台能够提供消费行为、诈欺侦测和建议系统的深入洞察。供应商正在推出可扩展的图引擎，以提升效能和准确性。对即时分析日益增长的需求正在加速零售、电信和金融服务等行业的应用。社交网路数据的快速成长使图分析成为数位智慧的关键基础技术。

图分析专业知识有限

企业难以找到能够管理复杂图资料库和演算法的人才。与拥有完善培训体系的成熟企业相比，中小企业面临的挑战更大。图技术陡峭的学习曲线阻碍了其普及应用。供应商正加大对培训倡议和简化工具的投入，以减少对专业知识的依赖。熟练专业人员的短缺使得员工的技能水准成为图分析解决方案规模化发展的决定性因素。

人工智慧驱动的即时图智慧解决方案

对预测性洞察日益增长的需求正在推动人工智慧与图分析相结合的平台的普及。即时智慧能够实现诈欺防制、网路安全监控和动态个人化。供应商正在将机器学习演算法整合到图引擎中，以提升响应速度。对人工智慧驱动的分析技术的投资不断增加，正在推动银行、医疗保健和电子商务等行业的需求成长。即时图智慧的兴起正在将分析从静态重新定义为主动和自适应。

资料隐私和监管合规挑战

企业在处理敏感个人和财务资讯的系统方面面临日益严格的审查。与资源雄厚的产业巨头相比，小规模的供应商更难维持合规性。区域法规结构也增加了部署策略的复杂性。供应商正在整合加密和匿名化功能以增强信任。日益增长的监管负担正在重塑优先事项，使得隐私保护成为图分析成功的关键。

新冠疫情的感染疾病：

新冠疫情加速了对图分析的需求，因为企业需要更深入地了解不断变化的消费行为。一方面，供应链中断延缓了基础设施计划和现代化改造的进程；另一方面，对数位平台的日益依赖推动了基于图的智慧技术的应用。在动盪时期，企业越来越多地利用图分析来追踪诈欺、虚假资讯和出行模式。供应商整合了即时监控和人工智慧驱动的功能，以增强系统的韧性。疫情凸显了图分析在帮助企业根据快速变化的环境调整决策的必要性。

在预测期内，云端细分市场将占据最大的市场份额。

在对可扩展和灵活部署模式的需求驱动下，预计云端解决方案将在预测期内占据最大的市场份额。企业正在将云端图引擎整合到其工作流程中，以提高可存取性和效能。供应商正在开发整合即时分析、视觉化和管治功能的解决方案。对经济高效的基础设施日益增长的需求正在加速该领域的普及。企业将云端平台视为维持营运弹性和敏捷性的关键。云端解决方案的主导地位反映了其作为现代图分析生态系统基础的角色。

网路安全和威胁情报领域在预测期内将呈现最高的复合年增长率。

受对高阶安全分析日益增长的需求驱动，网路安全和威胁情报领域预计将在预测期内实现最高成长率。企业越来越需要基于图的智慧来侦测异常并预防网路攻击。供应商正在将即时监控和人工智慧驱动的检测整合到安全工作流程中。从中小企业到大型机构，都能受益于可应对各种威胁环境的可扩展解决方案。对网路安全韧性的持续投入正在推动该领域的需求。威胁情报的成长凸显了图分析作为第一道防线机制的重新定义作用。

占比最大的地区：

由于北美拥有成熟的数位基础设施和强大的企业级图分析应用，预计该地区在预测期内将保持最大的市场份额。美国和加拿大公司在投资增强诈欺侦测、个人化和网路安全的平台方面处于主导。主要技术提供商的存在进一步巩固了该地区的领先地位。对隐私法规合规性的日益增长的需求正在推动各行业采用相关技术。供应商正在整合先进的人工智慧驱动框架，以在竞争激烈的市场中脱颖而出。

年复合成长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率，这主要得益于快速的数位化、不断增长的行动网路普及率以及政府主导的智慧城市计划。中国、印度和东南亚国家等正在大幅增加对图分析的投资，以支援电子商务、行动旅游和金融服务。本地Start-Ups正在部署针对高密度城市环境客製化的、具成本效益的解决方案。企业正在采用预测分析来增强可扩展性并满足消费者需求。政府推行的数位转型和数据驱动创新计画正在加速这一进程。亚太地区的成长轨迹以其快速扩展分析创新的能力为特征，使其成为全球成长最快的图智能中心。

免费客製化服务：

订阅本报告的用户可从以下免费自订选项中选择一项：

  • 公司简介
    • 对最多三家其他公司进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
  • 竞争标竿分析
    • 基于产品系列、地域覆盖和策略联盟对主要企业进行基准分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
  • 分析材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球图分析市场（按组件划分）

  • 软体
    • 图资料库
    • 图表处理和查询引擎
    • 图分析与演算法平台
    • 图形视觉化和探索工具
  • 服务
    • 咨询和策略服务
    • 整合和实施服务
    • 託管服务、外包服务

第六章 全球图分析市场依部署方式划分

  • 基于云端的
  • 本地部署

7. 按组织规模分類的全球图分析市场

  • 大公司
  • 中小企业

第八章：全球图分析市场（按应用划分）

  • 诈欺和风险分析
  • 网路安全与威胁情报
  • 客户分析与方案分析
  • 供应链网路优化
  • 社会网络分析
  • 其他用途

9. 全球图分析市场（依最终用户划分）

  • BFSI
  • 医疗保健
  • 零售与电子商务
  • 资讯科技/通讯
  • 製造业
  • 政府/公共部门
  • 媒体与娱乐
  • 其他最终用户

第十章：全球图分析市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十二章：公司简介

  • 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.