Semantic Knowledge Graphing Market Synopsis
The Global Semantic Knowledge Graphing Market Size Was Valued at USD 1.44 Billion in 2023 and is Projected to Reach USD 4.76 Billion by 2032, Growing at a CAGR of 14.21 % From 2024-2032.
Semantic Knowledge Graphing entails the organization and linkage of data to unveil significant connections among entities. It arranges information into a graph structure, with nodes representing concepts or entities, and edges indicating relationships. This methodology enables streamlined data retrieval, analysis, and inference, empowering diverse applications like search engines, recommendation systems, and natural language processing.
- The Semantic Knowledge Graphing involves organizing data into a graph structure where entities, relationships, and attributes are interconnected, facilitating advanced data analysis. Its applications span various domains, including natural language processing, recommendation systems, and data integration. In healthcare, it aids in diagnosing patients by correlating symptoms with medical conditions. E-commerce platforms use it to provide personalized product recommendations based on user preferences and purchase history.
- Semantic Knowledge Graphing is numerous. It improves data comprehension and enables semantic search, resulting in more accurate information retrieval. Additionally, it promotes interoperability among disparate data sources, leading to improved data integration and decision-making. Furthermore, it enables automated reasoning and inference, allowing systems to derive new insights from existing knowledge.
- Semantic Knowledge Graphing includes the adoption of machine learning techniques for graph embeddings, which enhance the representation of entities and relationships within the graph. Moreover, there is a growing emphasis on augmenting knowledge graphs through the inclusion of external knowledge sources like ontologies and linked data. Additionally, there is increasing interest in federated knowledge graphs, which enable organizations to collaborate and share knowledge while maintaining data sovereignty.
Semantic Knowledge Graphing Market Trend Analysis
Increased Demand for Efficient Information Retrieval
- The rising demand for effective information retrieval is driving the growth of the Semantic Knowledge Graphing market. data-driven world, businesses grapple with managing vast amounts of data spread across various sources. Traditional methods of retrieving information often prove inadequate in navigating this complexity, resulting in inefficiencies and missed opportunities. there is a growing acknowledgment of the necessity for advanced solutions to streamline data access and uncover valuable insights quickly and accurately.
- Semantic Knowledge Graphing addresses this need by providing a structured approach to organizing and linking data, thereby enabling more efficient information retrieval. By organizing data into a graph format with clearly defined entities and relationships, this technology facilitates intuitive navigation and exploration of complex datasets. Moreover, the semantic understanding embedded within the graph enables contextualized search capabilities, enhancing the relevance and precision of search results. As businesses increasingly rely on data-driven decision-making and seek competitive advantages through insights, the demand for Semantic Knowledge Graphing solutions continues to rise.
- Furthermore, the proliferation of diverse data sources and the complexity of modern datasets highlight the importance of Semantic Knowledge Graphing in meeting the evolving needs of businesses. With the integration of machine learning techniques and the inclusion of external knowledge sources like ontologies and linked data, Semantic Knowledge Graphing solutions are becoming more proficient at extracting meaningful insights from diverse and dynamic data environments.
Development of Cloud-Based Solutions
- The emergence of cloud-based solutions offers significant opportunities for the expansion of the Semantic Knowledge Graphing market. Cloud computing provides a scalable and adaptable infrastructure for hosting and processing large datasets, making it an optimal environment for deploying Semantic Knowledge Graphing solutions. By utilizing cloud-based platforms, businesses can access the necessary computational resources for implementing and managing complex knowledge graphs without the overhead of maintaining on-premises infrastructure.
- Cloud-based solutions facilitate seamless collaboration and integration among dispersed teams and data sources. This promotes the sharing and enhancement of knowledge graphs, resulting in more comprehensive and precise data representations. Furthermore, cloud platforms often come equipped with built-in support for data analytics and machine learning, empowering organizations to derive deeper insights and foster innovation through Semantic Knowledge Graphing implementations.
- The scalability and cost-effectiveness of cloud-based solutions render them accessible to businesses of all sizes, from startups to large enterprises. This democratization of technology reduces barriers to entry and encourages widespread adoption of Semantic Knowledge Graphing, thereby driving market growth. As the demand for efficient data management and advanced analytics continues to increase, the development of cloud-based solutions will remain crucial for unlocking the full potential of Semantic Knowledge Graphing across various industries.
Semantic Knowledge Graphing Market Segment Analysis:
Semantic Knowledge Graphing Market Segmented on the basis of Graph Type, Task Type, Source, Organization Size, Application, and Industry Vertical
By Task Type, Link prediction segment is expected to dominate the market during the forecast period
- The Link Prediction segment is positioned to lead the Semantic Knowledge Graphing market, given its critical function in revealing latent relationships and improving data comprehension. In today's interconnected landscape, identifying absent connections between entities is crucial for deriving holistic insights from knowledge graphs. Link prediction algorithms assess existing links within the graph to anticipate potential relationships, bridging gaps in the data and enriching the knowledge representation. This capability holds significant value across various sectors, including recommendation systems, social network analysis, and biomedical research, where uncovering concealed associations can drive actionable insights and enhance decision-making.
- Moreover, with businesses increasingly embracing data-driven approaches to stay competitive, the demand for sophisticated link prediction techniques is expected to rise. By harnessing machine learning and graph analytics, link prediction solutions offer scalable and effective means for identifying and prioritizing missing links, fueling the expansion of the Semantic Knowledge Graphing market.
By Organization Size, Large Organizations segment held the largest share of 74.4% in 2022
- The Semantic Knowledge Graphing market is predominantly led by large enterprises, owing to their expansive data ecosystems and intricate information management requirements. These organizations grapple with the substantial task of organizing, integrating, and extracting insights from vast volumes of data generated across diverse departments and systems. Semantic Knowledge Graphing emerges as a solution by offering a structured framework to connect and analyze disparate data sources, empowering these enterprises to obtain a comprehensive understanding of their data landscape.
- Furthermore, large enterprises possess the resources and capabilities to invest in advanced technologies such as Semantic Knowledge Graphing. They can allocate budgets for the implementation and upkeep of sophisticated data management solutions, thereby driving adoption in this segment. Additionally, the scalability and customizable features of Semantic Knowledge Graphing align with the varied needs and complexities encountered by large enterprises, making it the preferred option for addressing their information management challenges.
Semantic Knowledge Graphing Market Regional Insights:
North America is Expected to Dominate the Market Over the Forecast period
- North America is positioned to lead the Semantic Knowledge Graphing market due to several key factors. The region boasts a thriving ecosystem of technology firms, research institutions, and startups specializing in data science and artificial intelligence. With Silicon Valley as a global innovation hub, North American companies lead in developing state-of-the-art Semantic Knowledge Graphing solutions.
- North America demonstrates significant adoption of advanced technologies across various sectors like healthcare, finance, and e-commerce. Its mature infrastructure, coupled with a strong focus on digital transformation, fosters an environment conducive to Semantic Knowledge Graphing solution implementation. Moreover, the presence of large enterprises with extensive datasets drives demand for sophisticated data management and analytics tools, propelling the growth of the Semantic Knowledge Graphing market in the region.
Semantic Knowledge Graphing Market Top Key Players:
- Amazon.com Inc. (U.S.)
- Facebook Inc (U.S.)
- Google LLC (U.S.)
- Franz Inc. (U.S.)
- Stardog Union (U.S.)
- Microsoft Corporation (U.S.)
- Metaphacts GmbH (Germany)
- NELL (Norway)
- Semantic Web Company (Austria)
- Yandex (Russia)
- Ontotext (Bulgaria)
- YAGO (Taiwan)
- Mitsubishi Electric Corporation (Japan)
- Baidu, Inc. (China), and Other Major Players
Key Industry Developments in the Semantic Knowledge Graphing Market:
- In November 2023, Franz Inc., a pioneer in AI and Graph Database technology, has been honored with the “Best Knowledge Graph” title in the 2023 KMWorld Readers' Choice Awards. Known for its innovative Entity-Event Knowledge Graph solutions, AllegroGraph, Franz Inc.'s flagship product, was recognized for its advanced capabilities in managing complex relationships and data structures. This prestigious award highlights AllegroGraph's impact on industries leveraging AI, machine learning, and data integration.
- In January 2023, Digital Science completed the acquisition of metaphacts a knowledge graph and decision intelligence software company. which has become the newest member of the Digital Science family.
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Global Semantic Knowledge Graphing Market |
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Base Year: |
2023 |
Forecast Period: |
2024-2032 |
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Historical Data: |
2017 to 2023 |
Market Size in 2023: |
USD 1.44 Bn. |
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Forecast Period 2024-32 CAGR: |
14.21 % |
Market Size in 2032: |
USD 4.76 Bn. |
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Segments Covered: |
By Graph Type |
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By Task Type |
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By Source |
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By Organization Size |
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By Application |
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By Industry Vertical |
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By Region |
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Key Market Drivers: |
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Key Market Restraints: |
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Key Opportunities: |
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Companies Covered in the report: |
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Chapter 1: Introduction
1.1 Scope and Coverage
Chapter 2:Executive Summary
Chapter 3: Market Landscape
3.1 Market Dynamics
3.1.1 Drivers
3.1.2 Restraints
3.1.3 Opportunities
3.1.4 Challenges
3.2 Market Trend Analysis
3.3 PESTLE Analysis
3.4 Porter's Five Forces Analysis
3.5 Industry Value Chain Analysis
3.6 Ecosystem
3.7 Regulatory Landscape
3.8 Price Trend Analysis
3.9 Patent Analysis
3.10 Technology Evolution
3.11 Investment Pockets
3.12 Import-Export Analysis
Chapter 4: Semantic Knowledge Graphing Market by By Graph Type (2018-2032)
4.1 Semantic Knowledge Graphing Market Snapshot and Growth Engine
4.2 Market Overview
4.3 External-Sensing Knowledge Graphs
4.3.1 Introduction and Market Overview
4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
4.3.3 Key Market Trends, Growth Factors, and Opportunities
4.3.4 Geographic Segmentation Analysis
4.4 Context-Rich Knowledge Graphs
4.5 NLP Knowledge Graphs
Chapter 5: Semantic Knowledge Graphing Market by By Task Type (2018-2032)
5.1 Semantic Knowledge Graphing Market Snapshot and Growth Engine
5.2 Market Overview
5.3 Link prediction
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
5.3.3 Key Market Trends, Growth Factors, and Opportunities
5.3.4 Geographic Segmentation Analysis
5.4 Entity Resolution
5.5 Link-based Clustering
Chapter 6: Semantic Knowledge Graphing Market by By Source (2018-2032)
6.1 Semantic Knowledge Graphing Market Snapshot and Growth Engine
6.2 Market Overview
6.3 Structured
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
6.3.3 Key Market Trends, Growth Factors, and Opportunities
6.3.4 Geographic Segmentation Analysis
6.4 Unstructured
6.5 Semi-structured
Chapter 7: Semantic Knowledge Graphing Market by By Organization Size (2018-2032)
7.1 Semantic Knowledge Graphing Market Snapshot and Growth Engine
7.2 Market Overview
7.3 SMEs.
7.3.1 Introduction and Market Overview
7.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
7.3.3 Key Market Trends, Growth Factors, and Opportunities
7.3.4 Geographic Segmentation Analysis
7.4 Large Organizations
Chapter 8: Semantic Knowledge Graphing Market by By Application (2018-2032)
8.1 Semantic Knowledge Graphing Market Snapshot and Growth Engine
8.2 Market Overview
8.3 Semantic Search
8.3.1 Introduction and Market Overview
8.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
8.3.3 Key Market Trends, Growth Factors, and Opportunities
8.3.4 Geographic Segmentation Analysis
8.4 QnA Machines
8.5 Electronic Reading
8.6 Information Retrieval
Chapter 9: Semantic Knowledge Graphing Market by By Industry Vertical (2018-2032)
9.1 Semantic Knowledge Graphing Market Snapshot and Growth Engine
9.2 Market Overview
9.3 BFSI
9.3.1 Introduction and Market Overview
9.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
9.3.3 Key Market Trends, Growth Factors, and Opportunities
9.3.4 Geographic Segmentation Analysis
9.4 Healthcare
9.5 IT & telecom
9.6 Retail & E-commerce
9.7 Government
Chapter 10: Company Profiles and Competitive Analysis
10.1 Competitive Landscape
10.1.1 Competitive Benchmarking
10.1.2 Semantic Knowledge Graphing Market Share by Manufacturer (2024)
10.1.3 Industry BCG Matrix
10.1.4 Heat Map Analysis
10.1.5 Mergers and Acquisitions
10.2 KOPARI (UNITED STATES)
10.2.1 Company Overview
10.2.2 Key Executives
10.2.3 Company Snapshot
10.2.4 Role of the Company in the Market
10.2.5 Sustainability and Social Responsibility
10.2.6 Operating Business Segments
10.2.7 Product Portfolio
10.2.8 Business Performance
10.2.9 Key Strategic Moves and Recent Developments
10.2.10 SWOT Analysis
10.3 VIGON INTERNATIONAL (UNITED STATES)
10.4 HEALTH & BEAUTY NATURAL OILS (UNITED STATES)
10.5 THE MIDWEST SEA SALT COMPANY (UNITED STATES)
10.6 ORGANIC FIJI (UNITED STATES)
10.7 THE HAIN CELESTIAL GROUP INC. (UNITED STATES)
10.8 NUTIVA (UNITED STATES)
10.9 ORGANIC FIJI (UNITED STATES)
10.10 HERBIVORE BOTANICALS (UNITED STATES)
10.11 PALMER'S (UNITED STATES)
10.12 ORGANIC GEMINI (UNITED STATES)
10.13 BIONATAL (UNITED STATES)
10.14 SKINNY & CO. (UNITED STATES)
10.15 BIORIGINAL FOOD & SCIENCE CORPORATION (CANADA)
10.16 HELIOS INGREDIENTS (UNITED KINGDOM)
10.17 MARICO LIMITED (INDIA)
10.18 HIMALAYA WELLNESS (INDIA)
10.19 NMK HOLDINGS PRIVATE LIMITED (SRI LANKA)
10.20 GREENVILLE AGRO CORPORATION (PHILIPPINES)
Chapter 11: Global Semantic Knowledge Graphing Market By Region
11.1 Overview
11.2. North America Semantic Knowledge Graphing Market
11.2.1 Key Market Trends, Growth Factors and Opportunities
11.2.2 Top Key Companies
11.2.3 Historic and Forecasted Market Size by Segments
11.2.4 Historic and Forecasted Market Size By By Graph Type
11.2.4.1 External-Sensing Knowledge Graphs
11.2.4.2 Context-Rich Knowledge Graphs
11.2.4.3 NLP Knowledge Graphs
11.2.5 Historic and Forecasted Market Size By By Task Type
11.2.5.1 Link prediction
11.2.5.2 Entity Resolution
11.2.5.3 Link-based Clustering
11.2.6 Historic and Forecasted Market Size By By Source
11.2.6.1 Structured
11.2.6.2 Unstructured
11.2.6.3 Semi-structured
11.2.7 Historic and Forecasted Market Size By By Organization Size
11.2.7.1 SMEs.
11.2.7.2 Large Organizations
11.2.8 Historic and Forecasted Market Size By By Application
11.2.8.1 Semantic Search
11.2.8.2 QnA Machines
11.2.8.3 Electronic Reading
11.2.8.4 Information Retrieval
11.2.9 Historic and Forecasted Market Size By By Industry Vertical
11.2.9.1 BFSI
11.2.9.2 Healthcare
11.2.9.3 IT & telecom
11.2.9.4 Retail & E-commerce
11.2.9.5 Government
11.2.10 Historic and Forecast Market Size by Country
11.2.10.1 US
11.2.10.2 Canada
11.2.10.3 Mexico
11.3. Eastern Europe Semantic Knowledge Graphing Market
11.3.1 Key Market Trends, Growth Factors and Opportunities
11.3.2 Top Key Companies
11.3.3 Historic and Forecasted Market Size by Segments
11.3.4 Historic and Forecasted Market Size By By Graph Type
11.3.4.1 External-Sensing Knowledge Graphs
11.3.4.2 Context-Rich Knowledge Graphs
11.3.4.3 NLP Knowledge Graphs
11.3.5 Historic and Forecasted Market Size By By Task Type
11.3.5.1 Link prediction
11.3.5.2 Entity Resolution
11.3.5.3 Link-based Clustering
11.3.6 Historic and Forecasted Market Size By By Source
11.3.6.1 Structured
11.3.6.2 Unstructured
11.3.6.3 Semi-structured
11.3.7 Historic and Forecasted Market Size By By Organization Size
11.3.7.1 SMEs.
11.3.7.2 Large Organizations
11.3.8 Historic and Forecasted Market Size By By Application
11.3.8.1 Semantic Search
11.3.8.2 QnA Machines
11.3.8.3 Electronic Reading
11.3.8.4 Information Retrieval
11.3.9 Historic and Forecasted Market Size By By Industry Vertical
11.3.9.1 BFSI
11.3.9.2 Healthcare
11.3.9.3 IT & telecom
11.3.9.4 Retail & E-commerce
11.3.9.5 Government
11.3.10 Historic and Forecast Market Size by Country
11.3.10.1 Russia
11.3.10.2 Bulgaria
11.3.10.3 The Czech Republic
11.3.10.4 Hungary
11.3.10.5 Poland
11.3.10.6 Romania
11.3.10.7 Rest of Eastern Europe
11.4. Western Europe Semantic Knowledge Graphing Market
11.4.1 Key Market Trends, Growth Factors and Opportunities
11.4.2 Top Key Companies
11.4.3 Historic and Forecasted Market Size by Segments
11.4.4 Historic and Forecasted Market Size By By Graph Type
11.4.4.1 External-Sensing Knowledge Graphs
11.4.4.2 Context-Rich Knowledge Graphs
11.4.4.3 NLP Knowledge Graphs
11.4.5 Historic and Forecasted Market Size By By Task Type
11.4.5.1 Link prediction
11.4.5.2 Entity Resolution
11.4.5.3 Link-based Clustering
11.4.6 Historic and Forecasted Market Size By By Source
11.4.6.1 Structured
11.4.6.2 Unstructured
11.4.6.3 Semi-structured
11.4.7 Historic and Forecasted Market Size By By Organization Size
11.4.7.1 SMEs.
11.4.7.2 Large Organizations
11.4.8 Historic and Forecasted Market Size By By Application
11.4.8.1 Semantic Search
11.4.8.2 QnA Machines
11.4.8.3 Electronic Reading
11.4.8.4 Information Retrieval
11.4.9 Historic and Forecasted Market Size By By Industry Vertical
11.4.9.1 BFSI
11.4.9.2 Healthcare
11.4.9.3 IT & telecom
11.4.9.4 Retail & E-commerce
11.4.9.5 Government
11.4.10 Historic and Forecast Market Size by Country
11.4.10.1 Germany
11.4.10.2 UK
11.4.10.3 France
11.4.10.4 The Netherlands
11.4.10.5 Italy
11.4.10.6 Spain
11.4.10.7 Rest of Western Europe
11.5. Asia Pacific Semantic Knowledge Graphing Market
11.5.1 Key Market Trends, Growth Factors and Opportunities
11.5.2 Top Key Companies
11.5.3 Historic and Forecasted Market Size by Segments
11.5.4 Historic and Forecasted Market Size By By Graph Type
11.5.4.1 External-Sensing Knowledge Graphs
11.5.4.2 Context-Rich Knowledge Graphs
11.5.4.3 NLP Knowledge Graphs
11.5.5 Historic and Forecasted Market Size By By Task Type
11.5.5.1 Link prediction
11.5.5.2 Entity Resolution
11.5.5.3 Link-based Clustering
11.5.6 Historic and Forecasted Market Size By By Source
11.5.6.1 Structured
11.5.6.2 Unstructured
11.5.6.3 Semi-structured
11.5.7 Historic and Forecasted Market Size By By Organization Size
11.5.7.1 SMEs.
11.5.7.2 Large Organizations
11.5.8 Historic and Forecasted Market Size By By Application
11.5.8.1 Semantic Search
11.5.8.2 QnA Machines
11.5.8.3 Electronic Reading
11.5.8.4 Information Retrieval
11.5.9 Historic and Forecasted Market Size By By Industry Vertical
11.5.9.1 BFSI
11.5.9.2 Healthcare
11.5.9.3 IT & telecom
11.5.9.4 Retail & E-commerce
11.5.9.5 Government
11.5.10 Historic and Forecast Market Size by Country
11.5.10.1 China
11.5.10.2 India
11.5.10.3 Japan
11.5.10.4 South Korea
11.5.10.5 Malaysia
11.5.10.6 Thailand
11.5.10.7 Vietnam
11.5.10.8 The Philippines
11.5.10.9 Australia
11.5.10.10 New Zealand
11.5.10.11 Rest of APAC
11.6. Middle East & Africa Semantic Knowledge Graphing Market
11.6.1 Key Market Trends, Growth Factors and Opportunities
11.6.2 Top Key Companies
11.6.3 Historic and Forecasted Market Size by Segments
11.6.4 Historic and Forecasted Market Size By By Graph Type
11.6.4.1 External-Sensing Knowledge Graphs
11.6.4.2 Context-Rich Knowledge Graphs
11.6.4.3 NLP Knowledge Graphs
11.6.5 Historic and Forecasted Market Size By By Task Type
11.6.5.1 Link prediction
11.6.5.2 Entity Resolution
11.6.5.3 Link-based Clustering
11.6.6 Historic and Forecasted Market Size By By Source
11.6.6.1 Structured
11.6.6.2 Unstructured
11.6.6.3 Semi-structured
11.6.7 Historic and Forecasted Market Size By By Organization Size
11.6.7.1 SMEs.
11.6.7.2 Large Organizations
11.6.8 Historic and Forecasted Market Size By By Application
11.6.8.1 Semantic Search
11.6.8.2 QnA Machines
11.6.8.3 Electronic Reading
11.6.8.4 Information Retrieval
11.6.9 Historic and Forecasted Market Size By By Industry Vertical
11.6.9.1 BFSI
11.6.9.2 Healthcare
11.6.9.3 IT & telecom
11.6.9.4 Retail & E-commerce
11.6.9.5 Government
11.6.10 Historic and Forecast Market Size by Country
11.6.10.1 Turkiye
11.6.10.2 Bahrain
11.6.10.3 Kuwait
11.6.10.4 Saudi Arabia
11.6.10.5 Qatar
11.6.10.6 UAE
11.6.10.7 Israel
11.6.10.8 South Africa
11.7. South America Semantic Knowledge Graphing Market
11.7.1 Key Market Trends, Growth Factors and Opportunities
11.7.2 Top Key Companies
11.7.3 Historic and Forecasted Market Size by Segments
11.7.4 Historic and Forecasted Market Size By By Graph Type
11.7.4.1 External-Sensing Knowledge Graphs
11.7.4.2 Context-Rich Knowledge Graphs
11.7.4.3 NLP Knowledge Graphs
11.7.5 Historic and Forecasted Market Size By By Task Type
11.7.5.1 Link prediction
11.7.5.2 Entity Resolution
11.7.5.3 Link-based Clustering
11.7.6 Historic and Forecasted Market Size By By Source
11.7.6.1 Structured
11.7.6.2 Unstructured
11.7.6.3 Semi-structured
11.7.7 Historic and Forecasted Market Size By By Organization Size
11.7.7.1 SMEs.
11.7.7.2 Large Organizations
11.7.8 Historic and Forecasted Market Size By By Application
11.7.8.1 Semantic Search
11.7.8.2 QnA Machines
11.7.8.3 Electronic Reading
11.7.8.4 Information Retrieval
11.7.9 Historic and Forecasted Market Size By By Industry Vertical
11.7.9.1 BFSI
11.7.9.2 Healthcare
11.7.9.3 IT & telecom
11.7.9.4 Retail & E-commerce
11.7.9.5 Government
11.7.10 Historic and Forecast Market Size by Country
11.7.10.1 Brazil
11.7.10.2 Argentina
11.7.10.3 Rest of SA
Chapter 12 Analyst Viewpoint and Conclusion
12.1 Recommendations and Concluding Analysis
12.2 Potential Market Strategies
Chapter 13 Research Methodology
13.1 Research Process
13.2 Primary Research
13.3 Secondary Research
1.1 Scope and Coverage
Chapter 2:Executive Summary
Chapter 3: Market Landscape
3.1 Market Dynamics
3.1.1 Drivers
3.1.2 Restraints
3.1.3 Opportunities
3.1.4 Challenges
3.2 Market Trend Analysis
3.3 PESTLE Analysis
3.4 Porter's Five Forces Analysis
3.5 Industry Value Chain Analysis
3.6 Ecosystem
3.7 Regulatory Landscape
3.8 Price Trend Analysis
3.9 Patent Analysis
3.10 Technology Evolution
3.11 Investment Pockets
3.12 Import-Export Analysis
Chapter 4: Semantic Knowledge Graphing Market by By Graph Type (2018-2032)
4.1 Semantic Knowledge Graphing Market Snapshot and Growth Engine
4.2 Market Overview
4.3 External-Sensing Knowledge Graphs
4.3.1 Introduction and Market Overview
4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
4.3.3 Key Market Trends, Growth Factors, and Opportunities
4.3.4 Geographic Segmentation Analysis
4.4 Context-Rich Knowledge Graphs
4.5 NLP Knowledge Graphs
Chapter 5: Semantic Knowledge Graphing Market by By Task Type (2018-2032)
5.1 Semantic Knowledge Graphing Market Snapshot and Growth Engine
5.2 Market Overview
5.3 Link prediction
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
5.3.3 Key Market Trends, Growth Factors, and Opportunities
5.3.4 Geographic Segmentation Analysis
5.4 Entity Resolution
5.5 Link-based Clustering
Chapter 6: Semantic Knowledge Graphing Market by By Source (2018-2032)
6.1 Semantic Knowledge Graphing Market Snapshot and Growth Engine
6.2 Market Overview
6.3 Structured
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
6.3.3 Key Market Trends, Growth Factors, and Opportunities
6.3.4 Geographic Segmentation Analysis
6.4 Unstructured
6.5 Semi-structured
Chapter 7: Semantic Knowledge Graphing Market by By Organization Size (2018-2032)
7.1 Semantic Knowledge Graphing Market Snapshot and Growth Engine
7.2 Market Overview
7.3 SMEs.
7.3.1 Introduction and Market Overview
7.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
7.3.3 Key Market Trends, Growth Factors, and Opportunities
7.3.4 Geographic Segmentation Analysis
7.4 Large Organizations
Chapter 8: Semantic Knowledge Graphing Market by By Application (2018-2032)
8.1 Semantic Knowledge Graphing Market Snapshot and Growth Engine
8.2 Market Overview
8.3 Semantic Search
8.3.1 Introduction and Market Overview
8.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
8.3.3 Key Market Trends, Growth Factors, and Opportunities
8.3.4 Geographic Segmentation Analysis
8.4 QnA Machines
8.5 Electronic Reading
8.6 Information Retrieval
Chapter 9: Semantic Knowledge Graphing Market by By Industry Vertical (2018-2032)
9.1 Semantic Knowledge Graphing Market Snapshot and Growth Engine
9.2 Market Overview
9.3 BFSI
9.3.1 Introduction and Market Overview
9.3.2 Historic and Forecasted Market Size in Value USD and Volume Units
9.3.3 Key Market Trends, Growth Factors, and Opportunities
9.3.4 Geographic Segmentation Analysis
9.4 Healthcare
9.5 IT & telecom
9.6 Retail & E-commerce
9.7 Government
Chapter 10: Company Profiles and Competitive Analysis
10.1 Competitive Landscape
10.1.1 Competitive Benchmarking
10.1.2 Semantic Knowledge Graphing Market Share by Manufacturer (2024)
10.1.3 Industry BCG Matrix
10.1.4 Heat Map Analysis
10.1.5 Mergers and Acquisitions
10.2 KOPARI (UNITED STATES)
10.2.1 Company Overview
10.2.2 Key Executives
10.2.3 Company Snapshot
10.2.4 Role of the Company in the Market
10.2.5 Sustainability and Social Responsibility
10.2.6 Operating Business Segments
10.2.7 Product Portfolio
10.2.8 Business Performance
10.2.9 Key Strategic Moves and Recent Developments
10.2.10 SWOT Analysis
10.3 VIGON INTERNATIONAL (UNITED STATES)
10.4 HEALTH & BEAUTY NATURAL OILS (UNITED STATES)
10.5 THE MIDWEST SEA SALT COMPANY (UNITED STATES)
10.6 ORGANIC FIJI (UNITED STATES)
10.7 THE HAIN CELESTIAL GROUP INC. (UNITED STATES)
10.8 NUTIVA (UNITED STATES)
10.9 ORGANIC FIJI (UNITED STATES)
10.10 HERBIVORE BOTANICALS (UNITED STATES)
10.11 PALMER'S (UNITED STATES)
10.12 ORGANIC GEMINI (UNITED STATES)
10.13 BIONATAL (UNITED STATES)
10.14 SKINNY & CO. (UNITED STATES)
10.15 BIORIGINAL FOOD & SCIENCE CORPORATION (CANADA)
10.16 HELIOS INGREDIENTS (UNITED KINGDOM)
10.17 MARICO LIMITED (INDIA)
10.18 HIMALAYA WELLNESS (INDIA)
10.19 NMK HOLDINGS PRIVATE LIMITED (SRI LANKA)
10.20 GREENVILLE AGRO CORPORATION (PHILIPPINES)
Chapter 11: Global Semantic Knowledge Graphing Market By Region
11.1 Overview
11.2. North America Semantic Knowledge Graphing Market
11.2.1 Key Market Trends, Growth Factors and Opportunities
11.2.2 Top Key Companies
11.2.3 Historic and Forecasted Market Size by Segments
11.2.4 Historic and Forecasted Market Size By By Graph Type
11.2.4.1 External-Sensing Knowledge Graphs
11.2.4.2 Context-Rich Knowledge Graphs
11.2.4.3 NLP Knowledge Graphs
11.2.5 Historic and Forecasted Market Size By By Task Type
11.2.5.1 Link prediction
11.2.5.2 Entity Resolution
11.2.5.3 Link-based Clustering
11.2.6 Historic and Forecasted Market Size By By Source
11.2.6.1 Structured
11.2.6.2 Unstructured
11.2.6.3 Semi-structured
11.2.7 Historic and Forecasted Market Size By By Organization Size
11.2.7.1 SMEs.
11.2.7.2 Large Organizations
11.2.8 Historic and Forecasted Market Size By By Application
11.2.8.1 Semantic Search
11.2.8.2 QnA Machines
11.2.8.3 Electronic Reading
11.2.8.4 Information Retrieval
11.2.9 Historic and Forecasted Market Size By By Industry Vertical
11.2.9.1 BFSI
11.2.9.2 Healthcare
11.2.9.3 IT & telecom
11.2.9.4 Retail & E-commerce
11.2.9.5 Government
11.2.10 Historic and Forecast Market Size by Country
11.2.10.1 US
11.2.10.2 Canada
11.2.10.3 Mexico
11.3. Eastern Europe Semantic Knowledge Graphing Market
11.3.1 Key Market Trends, Growth Factors and Opportunities
11.3.2 Top Key Companies
11.3.3 Historic and Forecasted Market Size by Segments
11.3.4 Historic and Forecasted Market Size By By Graph Type
11.3.4.1 External-Sensing Knowledge Graphs
11.3.4.2 Context-Rich Knowledge Graphs
11.3.4.3 NLP Knowledge Graphs
11.3.5 Historic and Forecasted Market Size By By Task Type
11.3.5.1 Link prediction
11.3.5.2 Entity Resolution
11.3.5.3 Link-based Clustering
11.3.6 Historic and Forecasted Market Size By By Source
11.3.6.1 Structured
11.3.6.2 Unstructured
11.3.6.3 Semi-structured
11.3.7 Historic and Forecasted Market Size By By Organization Size
11.3.7.1 SMEs.
11.3.7.2 Large Organizations
11.3.8 Historic and Forecasted Market Size By By Application
11.3.8.1 Semantic Search
11.3.8.2 QnA Machines
11.3.8.3 Electronic Reading
11.3.8.4 Information Retrieval
11.3.9 Historic and Forecasted Market Size By By Industry Vertical
11.3.9.1 BFSI
11.3.9.2 Healthcare
11.3.9.3 IT & telecom
11.3.9.4 Retail & E-commerce
11.3.9.5 Government
11.3.10 Historic and Forecast Market Size by Country
11.3.10.1 Russia
11.3.10.2 Bulgaria
11.3.10.3 The Czech Republic
11.3.10.4 Hungary
11.3.10.5 Poland
11.3.10.6 Romania
11.3.10.7 Rest of Eastern Europe
11.4. Western Europe Semantic Knowledge Graphing Market
11.4.1 Key Market Trends, Growth Factors and Opportunities
11.4.2 Top Key Companies
11.4.3 Historic and Forecasted Market Size by Segments
11.4.4 Historic and Forecasted Market Size By By Graph Type
11.4.4.1 External-Sensing Knowledge Graphs
11.4.4.2 Context-Rich Knowledge Graphs
11.4.4.3 NLP Knowledge Graphs
11.4.5 Historic and Forecasted Market Size By By Task Type
11.4.5.1 Link prediction
11.4.5.2 Entity Resolution
11.4.5.3 Link-based Clustering
11.4.6 Historic and Forecasted Market Size By By Source
11.4.6.1 Structured
11.4.6.2 Unstructured
11.4.6.3 Semi-structured
11.4.7 Historic and Forecasted Market Size By By Organization Size
11.4.7.1 SMEs.
11.4.7.2 Large Organizations
11.4.8 Historic and Forecasted Market Size By By Application
11.4.8.1 Semantic Search
11.4.8.2 QnA Machines
11.4.8.3 Electronic Reading
11.4.8.4 Information Retrieval
11.4.9 Historic and Forecasted Market Size By By Industry Vertical
11.4.9.1 BFSI
11.4.9.2 Healthcare
11.4.9.3 IT & telecom
11.4.9.4 Retail & E-commerce
11.4.9.5 Government
11.4.10 Historic and Forecast Market Size by Country
11.4.10.1 Germany
11.4.10.2 UK
11.4.10.3 France
11.4.10.4 The Netherlands
11.4.10.5 Italy
11.4.10.6 Spain
11.4.10.7 Rest of Western Europe
11.5. Asia Pacific Semantic Knowledge Graphing Market
11.5.1 Key Market Trends, Growth Factors and Opportunities
11.5.2 Top Key Companies
11.5.3 Historic and Forecasted Market Size by Segments
11.5.4 Historic and Forecasted Market Size By By Graph Type
11.5.4.1 External-Sensing Knowledge Graphs
11.5.4.2 Context-Rich Knowledge Graphs
11.5.4.3 NLP Knowledge Graphs
11.5.5 Historic and Forecasted Market Size By By Task Type
11.5.5.1 Link prediction
11.5.5.2 Entity Resolution
11.5.5.3 Link-based Clustering
11.5.6 Historic and Forecasted Market Size By By Source
11.5.6.1 Structured
11.5.6.2 Unstructured
11.5.6.3 Semi-structured
11.5.7 Historic and Forecasted Market Size By By Organization Size
11.5.7.1 SMEs.
11.5.7.2 Large Organizations
11.5.8 Historic and Forecasted Market Size By By Application
11.5.8.1 Semantic Search
11.5.8.2 QnA Machines
11.5.8.3 Electronic Reading
11.5.8.4 Information Retrieval
11.5.9 Historic and Forecasted Market Size By By Industry Vertical
11.5.9.1 BFSI
11.5.9.2 Healthcare
11.5.9.3 IT & telecom
11.5.9.4 Retail & E-commerce
11.5.9.5 Government
11.5.10 Historic and Forecast Market Size by Country
11.5.10.1 China
11.5.10.2 India
11.5.10.3 Japan
11.5.10.4 South Korea
11.5.10.5 Malaysia
11.5.10.6 Thailand
11.5.10.7 Vietnam
11.5.10.8 The Philippines
11.5.10.9 Australia
11.5.10.10 New Zealand
11.5.10.11 Rest of APAC
11.6. Middle East & Africa Semantic Knowledge Graphing Market
11.6.1 Key Market Trends, Growth Factors and Opportunities
11.6.2 Top Key Companies
11.6.3 Historic and Forecasted Market Size by Segments
11.6.4 Historic and Forecasted Market Size By By Graph Type
11.6.4.1 External-Sensing Knowledge Graphs
11.6.4.2 Context-Rich Knowledge Graphs
11.6.4.3 NLP Knowledge Graphs
11.6.5 Historic and Forecasted Market Size By By Task Type
11.6.5.1 Link prediction
11.6.5.2 Entity Resolution
11.6.5.3 Link-based Clustering
11.6.6 Historic and Forecasted Market Size By By Source
11.6.6.1 Structured
11.6.6.2 Unstructured
11.6.6.3 Semi-structured
11.6.7 Historic and Forecasted Market Size By By Organization Size
11.6.7.1 SMEs.
11.6.7.2 Large Organizations
11.6.8 Historic and Forecasted Market Size By By Application
11.6.8.1 Semantic Search
11.6.8.2 QnA Machines
11.6.8.3 Electronic Reading
11.6.8.4 Information Retrieval
11.6.9 Historic and Forecasted Market Size By By Industry Vertical
11.6.9.1 BFSI
11.6.9.2 Healthcare
11.6.9.3 IT & telecom
11.6.9.4 Retail & E-commerce
11.6.9.5 Government
11.6.10 Historic and Forecast Market Size by Country
11.6.10.1 Turkiye
11.6.10.2 Bahrain
11.6.10.3 Kuwait
11.6.10.4 Saudi Arabia
11.6.10.5 Qatar
11.6.10.6 UAE
11.6.10.7 Israel
11.6.10.8 South Africa
11.7. South America Semantic Knowledge Graphing Market
11.7.1 Key Market Trends, Growth Factors and Opportunities
11.7.2 Top Key Companies
11.7.3 Historic and Forecasted Market Size by Segments
11.7.4 Historic and Forecasted Market Size By By Graph Type
11.7.4.1 External-Sensing Knowledge Graphs
11.7.4.2 Context-Rich Knowledge Graphs
11.7.4.3 NLP Knowledge Graphs
11.7.5 Historic and Forecasted Market Size By By Task Type
11.7.5.1 Link prediction
11.7.5.2 Entity Resolution
11.7.5.3 Link-based Clustering
11.7.6 Historic and Forecasted Market Size By By Source
11.7.6.1 Structured
11.7.6.2 Unstructured
11.7.6.3 Semi-structured
11.7.7 Historic and Forecasted Market Size By By Organization Size
11.7.7.1 SMEs.
11.7.7.2 Large Organizations
11.7.8 Historic and Forecasted Market Size By By Application
11.7.8.1 Semantic Search
11.7.8.2 QnA Machines
11.7.8.3 Electronic Reading
11.7.8.4 Information Retrieval
11.7.9 Historic and Forecasted Market Size By By Industry Vertical
11.7.9.1 BFSI
11.7.9.2 Healthcare
11.7.9.3 IT & telecom
11.7.9.4 Retail & E-commerce
11.7.9.5 Government
11.7.10 Historic and Forecast Market Size by Country
11.7.10.1 Brazil
11.7.10.2 Argentina
11.7.10.3 Rest of SA
Chapter 12 Analyst Viewpoint and Conclusion
12.1 Recommendations and Concluding Analysis
12.2 Potential Market Strategies
Chapter 13 Research Methodology
13.1 Research Process
13.2 Primary Research
13.3 Secondary Research
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Global Semantic Knowledge Graphing Market |
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Base Year: |
2023 |
Forecast Period: |
2024-2032 |
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Historical Data: |
2017 to 2023 |
Market Size in 2023: |
USD 1.44 Bn. |
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Forecast Period 2024-32 CAGR: |
14.21 % |
Market Size in 2032: |
USD 4.76 Bn. |
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Segments Covered: |
By Graph Type |
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By Source |
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By Region |
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Companies Covered in the report: |
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Frequently Asked Questions :
What would be the forecast period in the Semantic Knowledge Graphing Market research report?
The forecast period in the Semantic Knowledge Graphing Market research report is 2024-2032.
Who are the key players in the Semantic Knowledge Graphing Market?
Microsoft, Yandex, LinkedIn, Google, Franz, Semantic Web Company, Baidu, Wolfram Alpha and Other Major Players.
What are the segments of the Semantic Knowledge Graphing Market?
The Semantic Knowledge Graphing Market is segmented into Graph Type, Task Type, Source, Organization Size, Application, Industry Vertical, and Region. By Graph Type, the market is categorized into External-Sensing Knowledge Graphs, Context-Rich Knowledge Graphs, and NLP Knowledge Graphs. By Task Type, the market is categorized into Link prediction, Entity Resolution, and Link-based Clustering. By Source, the market is categorized into Structured, Unstructured, and Semi-structured. By Organization Size, the market is categorized into SMEs. and Large Organizations. By Application, the market is categorized into Semantic Search, QnA machines, Electronic Reading, and Information Retrieval. By Industry Vertical, the market is categorized into BFSI, Healthcare, IT & telecom, Retail & E-commerce, and Government. By region, it is analyzed across North America (U.S.; Canada; Mexico), Eastern Europe (Bulgaria; The Czech Republic; Hungary; Poland; Romania; Rest of Eastern Europe), Western Europe (Germany; UK; France; Netherlands; Italy; Russia; Spain; Rest of Western Europe), Asia-Pacific (China; India; Japan; Southeast Asia, etc.), South America (Brazil; Argentina, etc.), Middle East & Africa (Saudi Arabia; South Africa, etc.).
What is the Semantic Knowledge Graphing Market?
Semantic Knowledge Graphing entails the organization and linkage of data to unveil significant connections among entities. It arranges information into a graph structure, with nodes representing concepts or entities, and edges indicating relationships. This methodology enables streamlined data retrieval, analysis, and inference, empowering diverse applications like search engines, recommendation systems, and natural language processing.
How big is the Semantic Knowledge Graphing Market?
The Global Semantic Knowledge Graphing Market Size Was Valued at USD 1.44 Billion in 2023 and is Projected to Reach USD 4.76 Billion by 2032, Growing at a CAGR of 14.21 % From 2024-2032.
