Global Semantic Knowledge Graphing Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2023 to 2030

Description

List of Tables

The global demand for Semantic Knowledge Graphing Market is presumed to reach the market size of nearly USD 7.72 BN by 2030 from USD 2.37 BN in 2022 with a CAGR of 15.9% under the study period 2023 - 2030.

Semantic knowledge graphing is a technique that involves representing and organizing information in the form of a knowledge graph. A knowledge graph is a graph showcasing a structured representation of knowledge and captures entities, their attributes, and the relationships between them. It combines semantics and graph theory principles to create a network of interconnected data nodes that provide a rich and contextual understanding of information.

MARKET DYNAMICS:

The increasing complexity and volume of data across domains like healthcare, finance, and e-commerce create a need for structured and interconnected representations. Semantic knowledge graphing addresses this by effectively organizing and analyzing large and diverse datasets. Moreover, organizations are seeking advanced analytics and insights from their data, and this technique enables enhanced data discovery and exploration. The demand for tools and platforms supporting semantic knowledge graphing is rising to meet this need. Businesses face challenges in integrating and harmonizing data from multiple sources with different formats. This technique provides a standardized and interoperable framework, facilitating seamless connectivity and integration across disparate datasets and systems. Furthermore, the role of semantic knowledge graphing in artificial intelligence (AI) and machine learning applications is crucial. Knowledge graphs offer contextual understanding, improving AI systems' training, reasoning, and decision-making capabilities. Regulatory and compliance requirements also drive its adoption. Compliance efforts in industries such as healthcare and finance benefit from transparent and auditable data management provided by knowledge graphs. The market is further propelled by advancements in natural language processing and search technologies and industry-specific applications in healthcare, finance, retail, and manufacturing.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of semantic knowledge graphing. The growth and trends of semantic knowledge graphing industry provide a holistic approach to this study.

MARKET SEGMENTATION:

This section of the semantic knowledge graphing market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

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 Vertical

BFSI
Healthcare
IT & Telecom
Retail & E-Commerce
Government
Others

REGIONAL ANALYSIS:

This section covers the regional outlook, which accentuates current and future demand for the Semantic Knowledge Graphing market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the semantic knowledge graphing market include Amazon.com Inc., Baidu, Inc., Facebook Inc., Google LLC., Microsoft Corporation, Mitsubishi Electric Corporation, NELL, Semantic Web Company, YAGO, Yandex. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

Product Code: VMR112111605

1 . PREFACE

1.1. Report Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3 . SEMANTIC KNOWLEDGE GRAPHING - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Data Source
- 3.7.2 Market Attractiveness Analysis By Knowledge Graph Type
- 3.7.3 Market Attractiveness Analysis By Task Type
- 3.7.4 Market Attractiveness Analysis By Application
- 3.7.5 Market Attractiveness Analysis By Organization Size
- 3.7.6 Market Attractiveness Analysis By Industry Vertical
- 3.7.7 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend

5 . GLOBAL SEMANTIC KNOWLEDGE GRAPHING MARKET ANALYSIS BY DATA SOURCE

5.1 Overview by Data Source
5.2 Historical and Forecast Data
5.3 Analysis by Data Source
5.4 Structured Historic and Forecast Sales by Regions
5.5 Unstructured Historic and Forecast Sales by Regions
5.6 Semi-structured Historic and Forecast Sales by Regions

6 . GLOBAL SEMANTIC KNOWLEDGE GRAPHING MARKET ANALYSIS BY KNOWLEDGE GRAPH TYPE

6.1 Overview by Knowledge Graph Type
6.2 Historical and Forecast Data
6.3 Analysis by Knowledge Graph Type
6.4 Context-rich Knowledge Graphs Historic and Forecast Sales by Regions
6.5 External-sensing Knowledge Graphs Historic and Forecast Sales by Regions
6.6 NLP Knowledge Graphs Historic and Forecast Sales by Regions

7 . GLOBAL SEMANTIC KNOWLEDGE GRAPHING MARKET ANALYSIS BY TASK TYPE

7.1 Overview by Task Type
7.2 Historical and Forecast Data
7.3 Analysis by Task Type
7.4 Link Prediction Historic and Forecast Sales by Regions
7.5 Entity Resolution Historic and Forecast Sales by Regions
7.6 Link-based Clustering Historic and Forecast Sales by Regions

8 . GLOBAL SEMANTIC KNOWLEDGE GRAPHING MARKET ANALYSIS BY APPLICATION

8.1 Overview by Application
8.2 Historical and Forecast Data
8.3 Analysis by Application
8.4 Semantic Search Historic and Forecast Sales by Regions
8.5 QnA Machines Historic and Forecast Sales by Regions
8.6 Information Retrieval Historic and Forecast Sales by Regions
8.7 Electronic Reading Historic and Forecast Sales by Regions
8.8 Others Historic and Forecast Sales by Regions

9 . GLOBAL SEMANTIC KNOWLEDGE GRAPHING MARKET ANALYSIS BY ORGANIZATION SIZE

9.1 Overview by Organization Size
9.2 Historical and Forecast Data
9.3 Analysis by Organization Size
9.4 SMEs Historic and Forecast Sales by Regions
9.5 Large Organizations Historic and Forecast Sales by Regions

10 . GLOBAL SEMANTIC KNOWLEDGE GRAPHING MARKET ANALYSIS BY INDUSTRY VERTICAL

10.1 Overview by Industry Vertical
10.2 Historical and Forecast Data
10.3 Analysis by Industry Vertical
10.4 BFSI Historic and Forecast Sales by Regions
10.5 Healthcare Historic and Forecast Sales by Regions
10.6 IT & Telecom Historic and Forecast Sales by Regions
10.7 Retail & E-commerce Historic and Forecast Sales by Regions
10.8 Government Historic and Forecast Sales by Regions
10.9 Others Historic and Forecast Sales by Regions

11 . GLOBAL SEMANTIC KNOWLEDGE GRAPHING MARKET ANALYSIS BY GEOGRAPHY

11.1. Regional Outlook
11.2. Introduction
11.3. North America Sales Analysis
- 11.3.1. Overview, Historic and Forecast Data Sales Analysis
- 11.3.2. North America By Segment Sales Analysis
- 11.3.3. North America By Country Sales Analysis
- 11.3.4. United State Sales Analysis
- 11.3.5. Canada Sales Analysis
- 11.3.6. Mexico Sales Analysis
11.4. Europe Sales Analysis
- 11.4.1. Overview, Historic and Forecast Data Sales Analysis
- 11.4.2. Europe by Segment Sales Analysis
- 11.4.3. Europe by Country Sales Analysis
- 11.4.4. United Kingdom Sales Analysis
- 11.4.5. France Sales Analysis
- 11.4.6. Germany Sales Analysis
- 11.4.7. Italy Sales Analysis
- 11.4.8. Russia Sales Analysis
- 11.4.9. Rest Of Europe Sales Analysis
11.5. Asia Pacific Sales Analysis
- 11.5.1. Overview, Historic and Forecast Data Sales Analysis
- 11.5.2. Asia Pacific by Segment Sales Analysis
- 11.5.3. Asia Pacific by Country Sales Analysis
- 11.5.4. China Sales Analysis
- 11.5.5. India Sales Analysis
- 11.5.6. Japan Sales Analysis
- 11.5.7. South Korea Sales Analysis
- 11.5.8. Australia Sales Analysis
- 11.5.9. Rest Of Asia Pacific Sales Analysis
11.6. Latin America Sales Analysis
- 11.6.1. Overview, Historic and Forecast Data Sales Analysis
- 11.6.2. Latin America by Segment Sales Analysis
- 11.6.3. Latin America by Country Sales Analysis
- 11.6.4. Brazil Sales Analysis
- 11.6.5. Argentina Sales Analysis
- 11.6.6. Peru Sales Analysis
- 11.6.7. Chile Sales Analysis
- 11.6.8. Rest of Latin America Sales Analysis
11.7. Middle East & Africa Sales Analysis
- 11.7.1. Overview, Historic and Forecast Data Sales Analysis
- 11.7.2. Middle East & Africa by Segment Sales Analysis
- 11.7.3. Middle East & Africa by Country Sales Analysis
- 11.7.4. Saudi Arabia Sales Analysis
- 11.7.5. UAE Sales Analysis
- 11.7.6. Israel Sales Analysis
- 11.7.7. South Africa Sales Analysis
- 11.7.8. Rest Of Middle East And Africa Sales Analysis

12 . COMPETITIVE LANDSCAPE OF THE SEMANTIC KNOWLEDGE GRAPHING COMPANIES

12.1. Semantic Knowledge Graphing Market Competition
12.2. Partnership/Collaboration/Agreement
12.3. Merger And Acquisitions
12.4. New Product Launch
12.5. Other Developments

13 . COMPANY PROFILES OF SEMANTIC KNOWLEDGE GRAPHING INDUSTRY

13.1. Company Share Analysis
13.2. Market Concentration Rate
13.3. Amazon. com Inc.
- 13.3.1. Company Overview
- 13.3.2. Company Revenue
- 13.3.3. Products
- 13.3.4. Recent Developments
13.4. Baidu Inc.
- 13.4.1. Company Overview
- 13.4.2. Company Revenue
- 13.4.3. Products
- 13.4.4. Recent Developments
13.5. Facebook Inc.
- 13.5.1. Company Overview
- 13.5.2. Company Revenue
- 13.5.3. Products
- 13.5.4. Recent Developments
13.6. Google LLC.
- 13.6.1. Company Overview
- 13.6.2. Company Revenue
- 13.6.3. Products
- 13.6.4. Recent Developments
13.7. Microsoft Corporation
- 13.7.1. Company Overview
- 13.7.2. Company Revenue
- 13.7.3. Products
- 13.7.4. Recent Developments
13.8. Mitsubishi Electric Corporation
- 13.8.1. Company Overview
- 13.8.2. Company Revenue
- 13.8.3. Products
- 13.8.4. Recent Developments
13.9. NELL
- 13.9.1. Company Overview
- 13.9.2. Company Revenue
- 13.9.3. Products
- 13.9.4. Recent Developments
13.10. Semantic Web Company
- 13.10.1. Company Overview
- 13.10.2. Company Revenue
- 13.10.3. Products
- 13.10.4. Recent Developments
13.11. YAGO
- 13.11.1. Company Overview
- 13.11.2. Company Revenue
- 13.11.3. Products
- 13.11.4. Recent Developments
13.12. Yandex
- 13.12.1. Company Overview
- 13.12.2. Company Revenue
- 13.12.3. Products
- 13.12.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies