グラフ分析の世界市場予測（～2024年）

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1 Introduction (Page No. – 19)
1.1 Objectives of the Study
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders
2 Research Methodology (Page No. – 23)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Market Breakup and Data Triangulation
2.3 Market Size Estimation
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
2.4 Market Forecast
2.5 Assumptions for the Study
2.6 Limitations of the Study
3 Executive Summary (Page No. – 31)
4 Premium Insights (Page No. – 37)
4.1 Attractive Market Opportunities in the Graph Analytics Market
4.2 Market: Top 3 Applications
4.3 Market: By Region
4.4 Market in North America, By Application and Vertical
5 Market Overview and Industry Trends (Page No. – 40)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Ability to Uncover Relationships Between Data in Real Time to Drive the Market
5.2.1.2 Growing Demand to Analyze Low-Latency Queries
5.2.1.3 Advancements in Graph Analytics By Integration of Ai, Iot, and Blockchain to Drive the Market
5.2.2 Restraints
5.2.2.1 Lack of Standardization and Programming Ease
5.2.3 Opportunities
5.2.3.1 Growing Need to Identify Complex Patterns From the Data in Motion
5.2.3.2 Rapid use of Virtualization for Big Data Analytics
5.2.4 Challenges
5.2.4.1 Lack of Technical Skills
5.3 Use Cases
5.3.1 Use Case: Scenario 1
5.3.2 Use Case: Scenario 2
5.3.3 Use Case: Scenario 3
5.3.4 Use Case: Scenario 4
5.4 Regulatory Implications
5.4.1 General Data Protection Regulation
5.4.2 Payment Card Industry Data Security Standard
5.4.3 Health Insurance Portability and Accountability Act of 1996
5.4.4 Basel Committee on Banking Supervision 239 Compliance
5.4.5 Sarbanes–Oxley Act of 2002
6 Graph Analytics Market, By Component (Page No. – 48)
6.1 Introduction
6.2 Solutions
6.2.1 Software Tools
6.2.1.1 Software Tools Enable Easy Integration of Graph Analytics in the Existing Business Architecture Leading to the Growth of the Market
6.2.2 Platform
6.2.2.1 Platform to Provide a Complete Foundation for Designing Graph Analytics Solutions in Various Applications
6.3 Services
6.3.1 Consulting
6.3.1.1 Technicalities in Graph Analytics Solutions to Drive the Demand for Consulting Services
6.3.2 System Integration
6.3.2.1 Need for Seamless Deployment of Graph Analytics Solutions to Drive the Adoption of System Integration Services
6.3.3 Support and Maintenance
6.3.3.1 Growing Deployment of Graph Analytics Solutions to Drive the Demand for Support and Maintenance Services
7 Graph Analytics Market, By Deployment Mode (Page No. – 57)
7.1 Introduction
7.2 Cloud
7.2.1 Cost-Effectiveness and Scalability Offered By Cloud-Based Solutions to Drive Its Adoption in the Market
7.3 On-Premises
7.3.1 Data Integrity and Security Offered By On-Premises Solutions to Drive Its Adoption in theMarket
8 Market, By Organization Size (Page No. – 61)
8.1 Introduction
8.2 Large Enterprises
8.2.1 Need to Manage Large Volumes of Data Being Generated From Multiple Business Units and Transform It Into Actionable Insights to Drive the Adoption of the Market in Large Enterprises
8.3 Small and Medium-Sized Enterprises
8.3.1 Development of Feasible Cloud-Based Graph Analytics Solutions to Drive the Adoption of the Market in Small and Medium-Sized Enterprises
9 Market, By Application (Page No. – 65)
9.1 Introduction
9.2 Customer Analytics
9.2.1 Growing Need to Understand Customer Buying Behavior and Optimize Customer Engagement to Drive the Adoption of the Graph Analytics Market in the Customer Analytics Application
9.3 Risk and Compliance Management
9.3.1 Demand to Secure Customer Data and Ensure Stringent Regulatory Compliances to Drive the Adoption of Graph Analytics
9.4 Recommendation Engines
9.4.1 Increasing Need to Provide Efficient, Accurate, and Personalized Customer Services for Customer Retention and Enhanced Experiences to Drive the Adoption of Graph Analytics Solutions
9.5 Route Optimization
9.5.1 Ability of Graph Analytics to Identify Shortest and Safest Routes to Drive Its Adoption in Route Optimization Application
9.6 Fraud Detection
9.6.1 Ability to Detect Real-Time Fraud Patterns to Drive the Adoption of Graph Analytics in Fraud Detection
9.7 Others
10 Graph Analytics Market, By Vertical (Page No. – 73)
10.1 Introduction
10.2 Banking, Financial Services and Insurance
10.2.1 Growing Focus to Control Frauds, Abide By Compliances, and Enable Data-Based Actionable Insights to Drive the Adoption of the Market in the Banking, Financial Services and Insurance Vertical
10.3 Retail and Ecommerce
10.3.1 Growing Demand to Enable Real-Time Customer Behavior-Based Experience to Drive the Adoption of Graph Analytics in the Retail and Ecommerce Vertical
10.4 Telecom
10.4.1 Ability of Graph Analytics to Visualize Complex Networks to Drive Its Adoption in the Telecom Vertical
10.5 Healthcare and Life Sciences
10.5.1 Growing Demand to Control Fraud, Achieve Better Patient Experience, and Offer Personalized Treatment in Real Time to Fuel the Growth of Graph Analytics in the Healthcare and Life Sciences Vertical
10.6 Government and Public Sector
10.6.1 Growing Demand for Greater Flexibility, Enhanced Data Security, and Advanced Intelligence to Drive the Market
10.7 Manufacturing
10.7.1 Growing Need to Extend the Lifespan of Factory Equipment, Enhance Product Quality, and Reduce the Risk of Production Delays to Fuel the Growth of the Graph Analytics Application in the Manufacturing Vertical
10.8 Transportation and Logistics
10.8.1 Growing Need to Get Complete and Real-Time Visibility Into Operations for Minimizing the Risks to Drive the Adoption of Graph Analytics in the Transportation and Logistics Vertical
10.9 Others
11 Graph Analytics Market, By Region (Page No. – 83)
11.1 Introduction
11.2 North America
11.2.1 United States
11.2.1.1 Government’s Focus on Innovation and Research to Fuel the Adoption of Graph Analytics Solutions in the United States
11.2.2 Canada
11.2.2.1 Increase in Investments and Research Activities to Drive Graph Analytics Solutions and Services Adoption in Canada
11.3 Europe
11.3.1 United Kingdom
11.3.1.1 Increasing Government Initiatives to Fuel the Adoption of Graph Analytics Solutions in the United Kingdom
11.3.2 Germany
11.3.2.1 Growing Investments By Tech Companies to Provide Opportunities for Development of Graph Analytics Solutions
11.3.3 France
11.3.3.1 Focus on R&D and Heavy Inflow of Capital From Global Players and Investors to Drive the Market Growth in France
11.3.4 Rest of Europe
11.4 Asia Pacific
11.4.1 China
11.4.1.1 Increasing Focus on Integrating Artificial Intelligence and Big Data Technologies to Drive the Adoption of Graph Analytics in China
11.4.2 Japan
11.4.2.1 Existing Market and Already Adopted Graph Technology to Boost the Graph Analytics Market Growth in Japan
11.4.3 Rest of Asia Pacific
11.5 Middle East and Africa
11.5.1 Israel
11.5.1.1 Regulatory Compliance Backed By Presence of Graph Analytics Vendors to Lead the Adoption of Graph Analytics Solutions
11.5.2 United Arab Emirates
11.5.2.1 Advanced Analytics Coupled With Ai Adoption to Drive the Market Growth in the United Arab Emirates
11.5.3 South Africa
11.5.3.1 Increasing Adoption of Graph Analytics Among Enterprises to Boost the Market Growth in South Africa
11.5.4 Rest of Middle East and Africa
11.6 Latin America
11.6.1 Brazil
11.6.1.1 Need to Offer Enhanced Customer Experience and Improved Business Processes to Drive the Market Growth in Brazil
11.6.2 Mexico
11.6.2.1 Investments By Multinational Companies to Drive the Market Growth in Brazil
11.6.3 Rest of Latin America
12 Competitive Landscape (Page No. – 128)
12.1 Overview
12.2 Competitive Leadership Mapping
12.2.1 Visionary Leaders
12.2.2 Innovators
12.2.3 Dynamic Differentiators
12.2.4 Emerging Companies
13 Company Profiles (Page No. – 130)
13.1 Introduction
(Business Overview, Platform, Solutions. Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.2 Microsoft
13.3 IBM
13.4 AWS
13.5 Oracle
13.6 Neo4j
13.7 TigerGraph
13.8 Cray
13.9 DataStax
13.10 Teradata
13.11 TIBCO Software
13.12 Lynx Analytics
13.13 Linkurious
13.14 Graphistry
13.15 Objectivity
13.16 Dataiku
13.17 Tom Sawyer Software
13.18 Kineviz
13.19 Franz
13.20 Expero
13.21 Cambridge Intelligence
13.22 Right-To-Win
*Details on Business Overview, Platform, Solutions. Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not be Captured in Case of Unlisted Companies.
14 Appendix (Page No. – 170)
14.1 Industry Experts
14.2 Discussion Guide
14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
14.4 Available Customizations
14.5 Related Reports
14.6 Author Details

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