Knowledge Graph Market Size, By Task Type, By Data Source, By Organization Size, Application, Type, End Use, Forecast 2023

Description

List of Tables

Knowledge Graph Market size is projected to expand at over 13.5% CAGR from 2023-2032 driven by the ongoing development of smart cities and urban planning initiatives. Knowledge graphs enhance the efficiency of smart city projects by integrating data from sensors, traffic systems, and public services to offer optimized resource utilization and improved quality of life. With the intensifying urbanization, the demand for knowledge graphs integrated with geospatial information is further rising for making informed decision-making for smart city initiatives.

Furthermore, several market participants are developing advanced knowledge graphs to cater to diverse industries and foster optimized resource management, efficient planning, and improved operational insights, boosting the industry growth. For instance, in November 2023, Foursquare introduced its new geospatial knowledge graph as a revolutionary approach for organizing geographic datasets deploying graph technologies and the H3 grid system to alter the benefits from location data to organizations.

The overall industry is segmented into type, task type, data source, organization size, application, end-user, and region.

Based on type, the external sensing knowledge graph market is anticipated to record considerable growth from 2023-2032. External sensing technologies, such as IoT devices, sensors, and satellites, generate vast volumes of diverse data. To that end, knowledge graphs have turned essential for organizing, correlating, and deriving valuable insights from heterogeneous external data. The greater need to enhance decision-making processes by providing contextual connections is also fueling the product adoption across industries like healthcare, logistics, and smart cities.

In terms of end-use, the knowledge graph market from the media & entertainment segment is expected to witness high demand through 2032. With the increasing volumes of diverse content, knowledge graphs have gained traction for content organization, recommendation systems, and personalized user experiences. Furthermore, the development of AI and ML-integrated knowledge graphs is helping to optimize content distribution and refine audience targeting. The dynamic evolution of personalized and immersive digital experiences will further boost the segment expansion.

Asia Pacific knowledge graph industry is poised to exhibit over 16.5% growth rate from 2023-2032. The ongoing digital transformation is surging the demand for knowledge graphs across government, businesses, and research firms in the region. APAC is home to some of the leading e-commerce platforms. This is increasing the emphasis on employing knowledge graphs to fuel recommendation systems. Furthermore, the rising utilization of knowledge graphs in multifarious sectors, ranging from healthcare to banking, to interpret intricate and complicated data will boost regional industry growth.

Product Code: 7266

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 360 degree 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 Market 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