The Semantic Knowledge Graphing Market size was estimated at US$ 1.36 Billion in 2022 it is predicted to grow at a CAGR of 14.23% from 2023 to 2032 to reach around US$ 5.14 Billion by the end of 2032.
The Semantic Knowledge Graphing Market report offers an exclusive study of the present state expected at the market dynamics, opportunities, market scheme, growth analysis and regional outlook. The report presents energetic visions to conclude and study the market size, market aspiration, and competitive environment. The research also focuses on the important achievements of the market, research & development, and regional (country by country) growth of the leading vendors operating in the market
The study offers intricate dynamics about different aspects of the global Semantic Knowledge Graphing Market, which aids companies operating in the market in making strategies development decisions. The study also elaborates on remarkable changes that are highly anticipated to configure growth of the global Semantic Knowledge Graphing Market during the forecast period. It also includes a key indicator analysis that highlights growth prospects of this market and approximate statistics related to growth of the market in terms of value (US$ Bn) and volume (tons).
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Report Scope of the Semantic Knowledge Graphing Market
| Report Coverage | Details |
| Revenue Share of North America in 2022 | 33% |
| CAGR of Asia Pacific from 2023 to 2032 | 16.43% |
| Revenue Forecast by 2032 | USD 5.14 billion |
| Growth Rate from 2023 to 2032 | CAGR of 14.23% |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Market Analysis (Terms Used) | Value (US$ Million/Billion) or (Volume/Units) |
| Companies Covered | Amazon.com Inc.; Baidu, Inc.; Facebook Inc; Google LLC; Microsoft Corporation; Mitsubishi Electric Corporation; NELL; Semantic Web Company; YAGO; Yandex |
This study covers an elaborate segmentation of the global Semantic Knowledge Graphing Market, along with important information and a competition outlook. The report mentions company profiles of players that are currently influence the global Semantic Knowledge Graphing Market, wherein various developments, expansions, and winning strategies practiced and execute by leading players have been presented in detail.
Key Players
Amazon.com Inc.; Baidu, Inc.; Facebook Inc; Google LLC; Microsoft Corporation; Mitsubishi Electric Corporation; NELL; Semantic Web Company; YAGO; Yandex
Market Segmentation
By Data Source
- Structured
- Unstructured
- Semi-structured
By Knowledge Graph Type
- Context-rich Knowledge Graphs
- External-sensing Knowledge Graphs
- NLP Knowledge Graphs
By Task Type
- Link Prediction
- Entity Resolution
- Link-based Clustering
By Application
- Semantic Search
- QnA Machines
- Information Retrieval
- Electronic Reading
- Others
By Organization Size
- SMEs
- Large Organizations
- By Industry
- BFSI
- Healthcare
- IT & Telecom
- Retail & E-commerce
- Government
- Others
By Regional
- North America
- U.S.
- Canada
- Europe
- U.K.
- Germany
- France
- Asia Pacific
- China
- India
- Japan
- South Korea
- Australia
- South America
- Brazil
- Mexico
- Middle East and Africa
- KSA
- UAE
- South Africa
Research Methodology
The research methodology acquire by analysts for assemble the global Semantic Knowledge Graphing Market report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts study numerous annual report declaration, white papers, market association declaration, and company websites to obtain the necessary understanding of the global Semantic Knowledge Graphing Market.
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Industry Vertical Procurement Analysis
4.3.2. Sales and Distribution Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Semantic Knowledge Graphing Market
5.1. COVID-19 Landscape: Semantic Knowledge Graphing Industry Impact
5.2. COVID 19 – Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Semantic Knowledge Graphing Market, By Data Source
8.1. Semantic Knowledge Graphing Market, by Data Source, 2023-2032
8.1.1. Structured
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Unstructured
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Semi-structured
8.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Semantic Knowledge Graphing Market, By Knowledge Graph Type
9.1. Semantic Knowledge Graphing Market, by Knowledge Graph Type, 2023-2032
9.1.1. Context-rich Knowledge Graphs
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. External-sensing Knowledge Graphs
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. NLP Knowledge Graphs
9.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Semantic Knowledge Graphing Market, By Task Type
10.1. Semantic Knowledge Graphing Market, by Task Type, 2023-2032
10.1.1. Link Prediction
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Entity Resolution
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Link-based Clustering
10.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Semantic Knowledge Graphing Market, By Application
11.1. Semantic Knowledge Graphing Market, by Application, 2023-2032
11.1.1. Semantic Search
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. QnA Machines
11.1.2.1. Market Revenue and Forecast (2020-2032)
11.1.3. Information Retrieval
11.1.3.1. Market Revenue and Forecast (2020-2032)
11.1.4. Electronic Reading
11.1.4.1. Market Revenue and Forecast (2020-2032)
11.1.5. Others
11.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Semantic Knowledge Graphing Market, By Organization Size
12.1. Semantic Knowledge Graphing Market, by Organization Size, 2023-2032
12.1.1. SMEs
12.1.1.1. Market Revenue and Forecast (2020-2032)
12.1.2. Large Organizations
12.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 13. Global Semantic Knowledge Graphing Market, By Industry Vertical
13.1. Semantic Knowledge Graphing Market, by Industry Vertical, 2023-2032
13.1.1. BFSI
13.1.1.1. Market Revenue and Forecast (2020-2032)
13.1.2. Healthcare
13.1.2.1. Market Revenue and Forecast (2020-2032)
13.1.3. IT & Telecom
13.1.3.1. Market Revenue and Forecast (2020-2032)
13.1.4. Retail & E-commerce
13.1.4.1. Market Revenue and Forecast (2020-2032)
13.1.5. Government
13.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 14. Global Semantic Knowledge Graphing Market, Regional Estimates and Trend Forecast
14.1. North America
14.1.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.1.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.1.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.1.4. Market Revenue and Forecast, by Application (2020-2032)
14.1.5. Market Revenue and Forecast, by Organization Size (2020-2032)
14.1.6. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.1.7. U.S.
14.1.7.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.1.7.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.1.7.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.1.7.4. Market Revenue and Forecast, by Application (2020-2032)
14.1.8. Market Revenue and Forecast, by Organization Size (2020-2032)
14.1.8.1. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.1.9.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.1.9.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.1.9.4. Market Revenue and Forecast, by Application (2020-2032)
14.1.10. Market Revenue and Forecast, by Organization Size (2020-2032)
14.1.11. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.1.11.1.
14.2. Europe
14.2.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.2.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.2.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.2.4. Market Revenue and Forecast, by Application (2020-2032)
14.2.5. Market Revenue and Forecast, by Organization Size (2020-2032)
14.2.6. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.2.7.
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.2.8.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.2.8.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.2.9. Market Revenue and Forecast, by Application (2020-2032)
14.2.10. Market Revenue and Forecast, by Organization Size (2020-2032)
14.2.10.1. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.2.11. Germany
14.2.11.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.2.11.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.2.11.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.2.12. Market Revenue and Forecast, by Application (2020-2032)
14.2.13. Market Revenue and Forecast, by Organization Size (2020-2032)
14.2.14. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.2.14.1.
14.2.15. France
14.2.15.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.2.15.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.2.15.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.2.15.4. Market Revenue and Forecast, by Application (2020-2032)
14.2.16. Market Revenue and Forecast, by Organization Size (2020-2032)
14.2.16.1. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.2.17. Rest of Europe
14.2.17.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.2.17.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.2.17.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.2.17.4. Market Revenue and Forecast, by Application (2020-2032)
14.2.18. Market Revenue and Forecast, by Organization Size (2020-2032)
14.2.18.1. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.3. APAC
14.3.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.3.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.3.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.3.4. Market Revenue and Forecast, by Application (2020-2032)
14.3.5. Market Revenue and Forecast, by Organization Size (2020-2032)
14.3.6. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.3.7. India
14.3.7.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.3.7.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.3.7.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.3.7.4. Market Revenue and Forecast, by Application (2020-2032)
14.3.8. Market Revenue and Forecast, by Organization Size (2020-2032)
14.3.9. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.3.10. China
14.3.10.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.3.10.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.3.10.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.3.10.4. Market Revenue and Forecast, by Application (2020-2032)
14.3.11. Market Revenue and Forecast, by Organization Size (2020-2032)
14.3.11.1. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.3.12. Japan
14.3.12.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.3.12.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.3.12.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.3.12.4. Market Revenue and Forecast, by Application (2020-2032)
14.3.12.5. Market Revenue and Forecast, by Organization Size (2020-2032)
14.3.12.6. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.3.13. Rest of APAC
14.3.13.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.3.13.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.3.13.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.3.13.4. Market Revenue and Forecast, by Application (2020-2032)
14.3.13.5. Market Revenue and Forecast, by Organization Size (2020-2032)
14.3.13.6. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.4. MEA
14.4.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.4.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.4.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.4.4. Market Revenue and Forecast, by Application (2020-2032)
14.4.5. Market Revenue and Forecast, by Organization Size (2020-2032)
14.4.6. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.4.7. GCC
14.4.7.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.4.7.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.4.7.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.4.7.4. Market Revenue and Forecast, by Application (2020-2032)
14.4.8. Market Revenue and Forecast, by Organization Size (2020-2032)
14.4.9. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.4.10. North Africa
14.4.10.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.4.10.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.4.10.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.4.10.4. Market Revenue and Forecast, by Application (2020-2032)
14.4.11. Market Revenue and Forecast, by Organization Size (2020-2032)
14.4.12. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.4.13. South Africa
14.4.13.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.4.13.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.4.13.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.4.13.4. Market Revenue and Forecast, by Application (2020-2032)
14.4.13.5. Market Revenue and Forecast, by Organization Size (2020-2032)
14.4.13.6. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.4.14. Rest of MEA
14.4.14.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.4.14.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.4.14.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.4.14.4. Market Revenue and Forecast, by Application (2020-2032)
14.4.14.5. Market Revenue and Forecast, by Organization Size (2020-2032)
14.4.14.6. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.5.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.5.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.5.4. Market Revenue and Forecast, by Application (2020-2032)
14.5.5. Market Revenue and Forecast, by Organization Size (2020-2032)
14.5.6. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.5.7. Brazil
14.5.7.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.5.7.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.5.7.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.5.7.4. Market Revenue and Forecast, by Application (2020-2032)
14.5.8. Market Revenue and Forecast, by Organization Size (2020-2032)
14.5.8.1. Market Revenue and Forecast, by Industry Vertical (2020-2032)
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Data Source (2020-2032)
14.5.9.2. Market Revenue and Forecast, by Knowledge Graph Type (2020-2032)
14.5.9.3. Market Revenue and Forecast, by Task Type (2020-2032)
14.5.9.4. Market Revenue and Forecast, by Application (2020-2032)
14.5.9.5. Market Revenue and Forecast, by Organization Size (2020-2032)
14.5.9.6. Market Revenue and Forecast, by Industry Vertical (2020-2032)
Chapter 15. Company Profiles
15.1. Amazon.com Inc.
15.1.1. Company Overview
15.1.2. Product Offerings
15.1.3. Financial Performance
15.1.4. Recent Initiatives
15.2. Baidu, Inc.
15.2.1. Company Overview
15.2.2. Product Offerings
15.2.3. Financial Performance
15.2.4. Recent Initiatives
15.3. Facebook Inc
15.3.1. Company Overview
15.3.2. Product Offerings
15.3.3. Financial Performance
15.3.4. Recent Initiatives
15.4. Google LLC
15.4.1. Company Overview
15.4.2. Product Offerings
15.4.3. Financial Performance
15.4.4. Recent Initiatives
15.5. Microsoft Corporation
15.5.1. Company Overview
15.5.2. Product Offerings
15.5.3. Financial Performance
15.5.4. Recent Initiatives
15.6. Mitsubishi Electric Corporation
15.6.1. Company Overview
15.6.2. Product Offerings
15.6.3. Financial Performance
15.6.4. Recent Initiatives
15.7. NELL
15.7.1. Company Overview
15.7.2. Product Offerings
15.7.3. Financial Performance
15.7.4. Recent Initiatives
15.8. Semantic Web Company
15.8.1. Company Overview
15.8.2. Product Offerings
15.8.3. Financial Performance
15.8.4. Recent Initiatives
15.9. YAGO
15.9.1. Company Overview
15.9.2. Product Offerings
15.9.3. Financial Performance
15.9.4. Recent Initiatives
15.10. Yandex
15.10.1. Company Overview
15.10.2. Product Offerings
15.10.3. Financial Performance
15.10.4. Recent Initiatives
Chapter 16. Research Methodology
16.1. Primary Research
16.2. Secondary Research
16.3. Assumptions
Chapter 17. Appendix
17.1. About Us
17.2. Glossary of Terms
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