Report Content
Chapter 1 Methodology & Scope
1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 Knowledge graph market 360º synopsis, 2018 - 2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM), 2023 - 2032
2.3 Regional trends
2.4 Type trends
2.5 Task type trends
2.6 Data source trends
2.7 Organization size trends
2.8 Application trends
2.9 End-use trends
Chapter 3 Knowledge Graph Industry Insights
3.1 Impact of COVID-19
3.2 Impact of the Russia-Ukraine war
3.3 Industry ecosystem analysis
3.4 Vendor matrix
3.5 Profit margin analysis
3.6 Technology & innovation landscape
3.7 Patent analysis
3.8 Key news and initiatives
3.8.1 Partnership/Collaboration
3.8.2 Merger/Acquisition
3.8.3 Investment
3.8.4 Product launch & innovation
3.9 Regulatory landscape
3.10 Impact forces
3.10.1 Growth drivers
3.10.1.1 Increasing need for seamless data integration across various sources
3.10.1.2 Growth of artificial intelligence and machine learning applications
3.10.1.3 Improved search accuracy and personalized recommendations
3.10.1.4 Proliferation of Internet of Things (IoT) devices and the generation of massive volumes of data
3.10.2 Industry pitfalls & challenges
3.10.2.1 Data privacy and security challenges
3.10.2.2 Complex implementation
3.11 Growth potential analysis
3.12 Porter’s analysis
3.13 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
4.3.1 AWS
4.3.2 Cambridge Semantics
4.3.3 Franz Inc.
4.3.4 Google
4.3.5 IBM Corporation
4.3.6 Microsoft
4.3.7 Stardog
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022
Chapter 5 Knowledge Graph Market Estimates & Forecast, By Type (Revenue)
5.1 Key trends, by type
5.2 Context-rich knowledge graphs
5.3 External-sensing knowledge graphs
5.4 NLP Knowledge graphs
Chapter 6 Knowledge Graph Market Estimates & Forecast, By Task Type (Revenue)
6.1 Key trends, by task type
6.2 Link prediction
6.3 Entity resolution
6.4 Link-based clustering
Chapter 7 Knowledge Graph Market Estimates & Forecast, By Data Source (Revenue)
7.1 Key trends, by data source
7.2 Structured data
7.3 Unstructured data
7.4 Semi-structured data
Chapter 8 Knowledge Graph Market Estimates & Forecast, By Organization Size (Revenue)
8.1 Key trends, by organization size
8.2 SMEs
8.3 Large enterprises
Chapter 9 Knowledge Graph Market Estimates & Forecast, By Application (Revenue)
9.1 Key trends, by application
9.2 Semantic search
9.3 Recommendation systems
9.4 Data integration
9.5 Knowledge management
9.6 AI & machine learning
Chapter 10 Knowledge Graph Market Estimates & Forecast, By End-Use (Revenue)
10.1 Key trends, by end-use
10.2 Healthcare
10.3 E-commerce & retail
10.4 BFSI
10.5 Government
10.6 Media & entertainment
10.7 Manufacturing
10.8 Transportation & logistics
10.9 Others
Chapter 11 Knowledge Graph Market Estimates & Forecast, By Region (Revenue)
11.1 Key trends, by region
11.2 North America
11.2.1 U.S.
11.2.2 Canada
11.3 Europe
11.3.1 UK
11.3.2 Germany
11.3.3 France
11.3.4 Italy
11.3.5 Spain
11.3.6 Nordics
11.4 Asia Pacific
11.4.1 China
11.4.2 India
11.4.3 Japan
11.4.4 Australia
11.4.5 South Korea
11.4.6 Southeast Asia
11.5 Latin America
11.5.1 Brazil
11.5.2 Mexico
11.5.3 Argentina
11.6 MEA
11.6.1 UAE
11.6.2 Saudi Arabia
11.6.3 South Africa
Chapter 12 Company Profiles
12.1 AllegroGraph
12.2 Amazon Web Services (AWS)
12.3 Cambridge Semantics
12.4 Crayon Data
12.5 DataStax
12.6 Franz Inc.
12.7 Google
12.8 Grakn Labs
12.9 IBM
12.10 Microsoft
12.11 Neo4j
12.12 Ontotext
12.13 Oracle
12.14 PoolParty
12.15 Stardog
