Knowledge Graph Market by Offering, Type, Model Type, Data Source, Application, Vertical

List of Tables

[185 Pages Report] The Knowledge Graph Market size was estimated at USD 1.05 billion in 2023 and expected to reach USD 1.24 billion in 2024, at a CAGR 17.07% to reach USD 3.19 billion by 2030.

A knowledge graph is a structured model of knowledge that incorporates entities, relationships, and attributes to create a semantic network. It is a way to organize and connect information in a manner easily computable and understandable by machines. Knowledge graphs play a crucial role in representing and organizing knowledge in a way that allows for efficient data retrieval, reasoning, and analysis. Factors influencing the market's growth entail increased demand for advanced analytics tools and soaring data generation. The rise is further driven by the growing need for businesses to offer improved customer satisfaction, seamless communication, and knowledge sharing. However, a lack of understanding about the benefits of knowledge graphs, the necessity for technically skilled professionals, and privacy concerns further hamper the market adoption. The emergence of powerful data management, integration, and analytics strategies offers great potential opportunities.

KEY MARKET STATISTICS
Base Year [2023]	USD 1.05 billion
Estimated Year [2024]	USD 1.24 billion
Forecast Year [2030]	USD 3.19 billion
CAGR (%)	17.07%

Regional Insights

The Americas have a significant landscape in the knowledge graph market owing to the region evinces substantial advancements in technology and strong consumer purchasing power. Firms have been engaging in research and development initiatives, confirmed by a surge in new patents in emerging technologies. In the EMEA region, Europe is the hub for major developments in the knowledge graph market. Several European Union directives encourage the use of knowledge graph technology for compliance with data privacy. Meanwhile, the Middle East and Africa, while still nascent in the knowledge graph market, show promising growth potential owing to the digital transformation initiatives and burgeoning tech startup culture, particularly in countries. The APAC region is rapidly emerging as a formidable player in the knowledge graph market, fueled by expansive technological advancements and swift digitalization across major economies. Countries are capitalizing on technology to strengthen data management in e-commerce, healthcare, and telecommunications industries. Moreover, robust support from governments to foster innovation and drive digital transformation bolstered this region's knowledge graph market growth.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the Knowledge Graph Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

Market Drivers
- Growing demand for efficient data integration and effective data management
- Expanding applications of knowledge graph in healthcare
- Proliferating use of knowledge graphs in eCommerce sector

Market Restraints
- Limited availability of skilled professionals

Market Opportunities
- Increased demand for advanced analytics tools
- Ongoing research to expand use of knowledge graph

Market Challenges
- Data privacy and security concerns associated with knowledge graph

Market Segmentation Analysis
- Offering: Potential use of knowledge graph solutions to address multi-layered business challenges
- Type: NLP knowledge graphs leverage the prowess of Natural Language Processing to interpret human language data
- Application: High adoption of knowledge graph in enterprise knowledge management applications
- Vertical: Significant demand for knowledge graph in the healthcare sector

Market Disruption Analysis
Porter's Five Forces Analysis
Value Chain & Critical Path Analysis
Pricing Analysis
Technology Analysis
Patent Analysis
Trade Analysis
Regulatory Framework Analysis

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Knowledge Graph Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Knowledge Graph Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

Ontotext and Ontopic Join Forces to Revolutionize Data Virtualization

Ontotext and Ontopic, two companies in graph-based technologies and semantic knowledge representations, have formed a strategic partnership to revolutionize data virtualization. The joint efforts of Ontotext and Ontopic result in improved automation capabilities, enabling customers to streamline their processes and drive cost savings. [Published On: 2023-11-15]

Foursquare Launches its Geospatial Knowledge Graph

Foursquare launched Graph Technology, which leverages geospatial data to generate real-time knowledge graphs. This powerful tool enables users to explore and uncover connections between various venues and other data points, such as services, locations, products, or experiences. This advanced technology is supported by open-source libraries, including DGL-KE, Geo2vec, and GKGX, ensuring its reliability and efficiency. [Published On: 2023-11-05]

Kobai Launches Saturn Knowledge Graph to Query Data at Lakehouse Scale

Kobai introduced the Saturn Knowledge Graph, which revolutionizes large-scale data querying. This cutting-edge graph empowers companies to extract valuable insights from their data quickly. By seamlessly integrating analytical tools and enterprise data with the power of artificial intelligence, the Saturn Knowledge Graph provides a powerful solution for businesses seeking to unlock the full potential of their data. [Published On: 2023-03-21]

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Knowledge Graph Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

Key Company Profiles

The report delves into recent significant developments in the Knowledge Graph Market, highlighting leading vendors and their innovative profiles. These include AllegroGraph by Franz Inc., Amazon Web Services, Inc., ArangoDB, Cambridge Semantics, Inc., Datavid Limited, Diffbot Technologies Corp., Fluree, Franz Inc., Google LLC by Alphabet Inc., International Business Machines Corporation, Microsoft Corporation, Mitsubishi Electric Corporation, Neo4j, Inc., Ontotext, Oracle Corporation, SciBite Limited, Semantic Web Company, Stardog Union, TIBCO by Cloud Software Group, Inc., TigerGraph, Inc., XenonStack Pvt. Ltd., and Yext, Inc..

Market Segmentation & Coverage

This research report categorizes the Knowledge Graph Market to forecast the revenues and analyze trends in each of the following sub-markets:

Offering
- Services
  - Managed Services
  - Professional Services

Solutions

Type
- Context-rich Knowledge Graphs
- External-sensing Knowledge Graphs
- NLP Knowledge Graphs

Model Type
- Conceptual Graph
- RDF Graph
- Semantic Graph

Data Source
- Semi-structured Data
- Structured Data
- Unstructured Data

Application
- Enterprise Knowledge Management
- Question Answering
- Recommendation Systems
- Semantic Search

Vertical
- BFSI
- Healthcare
- IT & ITES
- Media & Entertainment
- Retail & E-commerce
- Transportation & Logistics
- Travel & Hospitality

Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam

Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom

Product Code: MRR-92249FEC2CC5

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Growing demand for efficient data integration and effective data management
  - 5.1.1.2. Expanding applications of knowledge graph in healthcare
  - 5.1.1.3. Proliferating use of knowledge graphs in eCommerce sector
- 5.1.2. Restraints
  - 5.1.2.1. Limited availability of skilled professionals
- 5.1.3. Opportunities
  - 5.1.3.1. Increased demand for advanced analytics tools
  - 5.1.3.2. Ongoing research to expand use of knowledge graph
- 5.1.4. Challenges
  - 5.1.4.1. Data privacy and security concerns associated with knowledge graph
5.2. Market Segmentation Analysis
- 5.2.1. Offering: Potential use of knowledge graph solutions to address multi-layered business challenges
- 5.2.2. Type: NLP knowledge graphs leverage the prowess of Natural Language Processing to interpret human language data
- 5.2.3. Application: High adoption of knowledge graph in enterprise knowledge management applications
- 5.2.4. Vertical: Significant demand for knowledge graph in the healthcare sector
5.3. Market Disruption Analysis
5.4. Porter's Five Forces Analysis
- 5.4.1. Threat of New Entrants
- 5.4.2. Threat of Substitutes
- 5.4.3. Bargaining Power of Customers
- 5.4.4. Bargaining Power of Suppliers
- 5.4.5. Industry Rivalry
5.5. Value Chain & Critical Path Analysis
5.6. Pricing Analysis
5.7. Technology Analysis
5.8. Patent Analysis
5.9. Trade Analysis
5.10. Regulatory Framework Analysis

6. Knowledge Graph Market, by Offering

6.1. Introduction
6.2. Services
6.3. Solutions

7. Knowledge Graph Market, by Type

7.1. Introduction
7.2. Context-rich Knowledge Graphs
7.3. External-sensing Knowledge Graphs
7.4. NLP Knowledge Graphs

8. Knowledge Graph Market, by Model Type

8.1. Introduction
8.2. Conceptual Graph
8.3. RDF Graph
8.4. Semantic Graph

9. Knowledge Graph Market, by Data Source

9.1. Introduction
9.2. Semi-structured Data
9.3. Structured Data
9.4. Unstructured Data

10. Knowledge Graph Market, by Application

10.1. Introduction
10.2. Enterprise Knowledge Management
10.3. Question Answering
10.4. Recommendation Systems
10.5. Semantic Search

11. Knowledge Graph Market, by Vertical

11.1. Introduction
11.2. BFSI
11.3. Healthcare
11.4. IT & ITES
11.5. Media & Entertainment
11.6. Retail & E-commerce
11.7. Transportation & Logistics
11.8. Travel & Hospitality

12. Americas Knowledge Graph Market

12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States

13. Asia-Pacific Knowledge Graph Market

13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam

14. Europe, Middle East & Africa Knowledge Graph Market

14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom

15. Competitive Landscape

15.1. Market Share Analysis, 2023
15.2. FPNV Positioning Matrix, 2023
15.3. Competitive Scenario Analysis
- 15.3.1. Ontotext and Ontopic Join Forces to Revolutionize Data Virtualization
- 15.3.2. Foursquare Launches its Geospatial Knowledge Graph
- 15.3.3. Kobai Launches Saturn Knowledge Graph to Query Data at Lakehouse Scale
15.4. Strategy Analysis & Recommendation

16. Competitive Portfolio

16.1. Key Company Profiles
16.2. Key Product Portfolio