Global Semantic Knowledge Graphing
Market Report
2024
Semantic Knowledge Graphing Market Size Will Be USD 1512.2 Million In 2024 And Will Expand At a Compound Annual Growth Rate (CAGR) of 14.80% From 2024 to 2031.
The base year for the calculation is 2023 and 2019 to 2023 will be historical period. The year 2024 will be estimated one while the forecasted data will be from year 2025 to 2031. When we deliver the report that time we updated report data till the purchase date.
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According to Cognitive Market Research, the global semantic knowledge graphing market size is USD 1512.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 14.80% from 2024 to 2031.
Base Year | 2023 |
Historical Data Time Period | 2019-2023 |
Forecast Period | 2024-2031 |
Global Semantic Knowledge Graphing Market Sales Revenue 2024 | $ 1512.2 Million |
Global Semantic Knowledge Graphing Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 14.8% |
North America Semantic Knowledge Graphing Market Sales Revenue 2024 | $ 604.88 Million |
North America Semantic Knowledge Graphing Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 13% |
Europe Semantic Knowledge Graphing Market Sales Revenue 2024 | $ 453.66 Million |
Europe Semantic Knowledge Graphing Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 13.3% |
Asia Pacific Semantic Knowledge Graphing Market Sales Revenue 2024 | $ 347.81 Million |
Asia Pacific Semantic Knowledge Graphing Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 16.8% |
Middle East and Africa Semantic Knowledge Graphing Market Sales Revenue 2024 | $ 30.24 Million |
Middle East and Africa Semantic Knowledge Graphing Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 14.5% |
Market Split by Types |
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Market Split by Verticals |
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Market Split by Tasks |
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Market Split by Knowledge Graphs |
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Market Split by Data Sources |
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List of Competitors |
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Regional Analysis |
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Country Analysis |
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Key Qualitative Information Covered |
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Semantic Knowledge Graphing Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
Semantic Knowledge Graphing refers to the process of structuring and organizing information into a network of interconnected data points, where each node represents a distinct concept or entity, and edges signify the relationships between them. It leverages semantic technologies to capture and encode meaning within the graph, enabling machines to understand and reason over complex datasets. This approach facilitates advanced data analytics, natural language processing, and knowledge discovery tasks by providing a contextually rich representation of information. Semantic Knowledge Graphing plays a crucial role in various domains such as artificial intelligence, data integration, information retrieval, and semantic web applications, fostering deeper insights and more intelligent decision-making processes.
Advancements in Artificial Intelligence (AI) are poised to significantly increase sales in the Semantic Knowledge Graphing market. AI technologies such as machine learning and natural language processing are continually improving, enabling semantic knowledge graphing systems to offer more accurate insights and intelligent capabilities. These advancements enhance the value proposition of semantic knowledge graphing solutions, making them indispensable for businesses seeking to derive actionable insights from complex datasets. With AI-driven functionalities such as automated data integration, context-aware search, and predictive analytics, organizations can unlock new opportunities for innovation, efficiency gains, and competitive advantage, driving higher adoption rates and sales in the market.
In December 2023, Neo4j announced a multi-year Strategic Collaboration Agreement (SCA) with AWS, focusing on enhancing generative AI (GenAI) outcomes for enterprises. Through a blend of knowledge graphs, native vector search, and AWS integrations, Neo4j and AWS aim to improve the accuracy, transparency, and explainability of GenAI results. This collaboration aims to accelerate positive GenAI outcomes while addressing existing challenges, such as reducing hallucinations commonly associated with AI processes.
The global demand for semantic knowledge graphing is escalating in response to the exponential growth of structured, semi-structured, and unstructured data. Enterprises are inundated with vast amounts of data from diverse sources such as social media, IoT devices, and enterprise applications. Structured data from databases, semi-structured data like XML and JSON, and unstructured data from documents, emails, and multimedia files present significant challenges in terms of organization, analysis, and deriving actionable insights. Semantic knowledge graphing addresses these challenges by providing a unified framework for representing, integrating, and analyzing disparate data types. By leveraging semantic technologies, businesses can unlock the value hidden within their data, enabling advanced analytics, natural language processing, and knowledge discovery. As organizations increasingly recognize the importance of harnessing data for strategic decision-making, the demand for semantic knowledge graphing solutions continues to surge globally.
The burgeoning demand for contextual insights is propelling the growth of semantic knowledge graphing solutions. In today's data-driven landscape, businesses are striving to extract deeper contextual meaning from their vast datasets to gain a competitive edge. Semantic knowledge graphing enables organizations to connect disparate data points, understand relationships, and derive valuable insights within the appropriate context. This contextual understanding is crucial for various applications such as personalized recommendations, predictive analytics, and targeted marketing campaigns. By leveraging semantic technologies, companies can not only enhance decision-making processes but also improve customer experiences and operational efficiency. As industries across sectors increasingly recognize the importance of contextual insights in driving innovation and business success, the adoption of semantic knowledge graphing solutions is poised to witness significant growth. This trend underscores the pivotal role of semantic technologies in unlocking the true potential of data for strategic advantage in today's dynamic marketplace.
Stringent Data Privacy Regulations to Hinder the Market Growth
Stringent data privacy regulations present a significant hurdle to the growth of the Semantic Knowledge Graphing market. Regulations such as GDPR (General Data Protection Regulation) in Europe and CCPA (California Consumer Privacy Act) in the United States impose strict requirements on how organizations collect, store, process, and share personal data. Compliance with these regulations necessitates robust data protection measures, including anonymization, encryption, and access controls, which can complicate the implementation of semantic knowledge graphing systems. Moreover, concerns about data breaches and privacy violations loom large, leading organizations to proceed cautiously with the adoption of technologies that involve handling sensitive information. As a result, businesses may hesitate to fully leverage semantic knowledge graphing solutions, fearing potential regulatory fines, legal liabilities, and reputational damage associated with non-compliance or data misuse, thereby slowing market growth.
The COVID-19 pandemic has had a negative impact on the Semantic Knowledge Graphing market. The crisis disrupted business operations worldwide, leading to budget constraints and delays in technology investments. Many organizations diverted resources to address immediate challenges such as remote work arrangements and supply chain disruptions, deprioritizing long-term projects like semantic knowledge graphing implementations. Additionally, uncertainties surrounding the economic outlook prompted caution among businesses, resulting in postponed or canceled IT projects. The reduced demand from industries heavily affected by the pandemic, such as travel and hospitality, further dampened market growth. Moreover, challenges in conducting in-person consultations and training sessions hindered the adoption and deployment of semantic knowledge graphing solutions. Overall, the pandemic-induced economic slowdown and shifting priorities have contributed to a negative impact on the Semantic Knowledge Graphing market.
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The competitive landscape of the Semantic Knowledge Graphing market is characterized by intense rivalry among players striving to innovate and differentiate their offerings. Key factors include technological advancements, pricing strategies, service quality, and market penetration, influencing market share and positioning within the industry.
In July 2022, Mitsubishi Electric released a new technology leveraging its Maisart AI technology. This innovation automatically builds knowledge graphs by extracting key phrases, authors, citation relationships, and whole-part relationships from diverse materials, including figures and tables. The resulting visualization highlights the relevance of information, enabling users to swiftly and intuitively identify crucial insights. With this advancement, users are poised to significantly decrease the time spent on information gathering, streamlining their workflows and enhancing productivity.
(Source:https://www.mitsubishielectric.com/our-stories/articles/xx_ww_x_in2207_02/)
Top Companies Market Share in Semantic Knowledge Graphing Industry: (In no particular order of Rank)
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According to Cognitive Market Research, North America dominated the market in 2024 and accounted for around 40% of the global revenue due to several factors. Firstly, the region boasts a robust technological infrastructure and a high level of digitalization across various industries, driving demand for advanced semantic knowledge graphing solutions. Additionally, stringent data privacy regulations necessitate sophisticated data management and analytics tools, further propelling market growth. Moreover, the presence of major technology companies and a strong focus on innovation foster a competitive landscape conducive to market expansion.
Asia-Pacific is the fastest-growing region due to several reasons. Firstly, expanding digitalization efforts across emerging economies in the region, coupled with a burgeoning start-up ecosystem, are driving adoption. Secondly, increasing investments in AI and data analytics by governments and enterprises to enhance operational efficiency and customer experiences fuel market expansion. Moreover, growing awareness of the benefits of semantic knowledge graphing solutions in improving data-driven decision-making processes is accelerating adoption.
The current report Scope analyzes Semantic Knowledge Graphing Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
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According to Cognitive Market Research, the global semantic knowledge graphing market size was estimated at USD 1512.2 Million out of which North America held the major market of around 40% of the global revenue with a market size of USD 604.88 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.0% from 2024 to 2031. Sales of semantic knowledge graphing in North America are set to rise due to several factors. Firstly, the region's strong technological infrastructure and high adoption rate of advanced analytics drive demand. Additionally, stringent data privacy regulations necessitate sophisticated data management solutions, boosting sales. Furthermore, the presence of major tech hubs and a culture of innovation foster market growth. Moreover, increasing investment in AI and machine learning technologies by enterprises drives adoption. Lastly, in North America, semantic search graphing holds the highest market share, driven by the demand for accurate and contextually relevant search results, enhancing user experience and productivity.
Country Analysis
According to Cognitive Market Research, with a market value of USD 1512.2 million in 2024 and projected to expand at a compound annual growth rate (CAGR) of 13.3% from 2024 to 2031. Europe accounted for a share of around 30% of the global market size of USD 453.66 million. Semantic knowledge graphing sales in Europe are poised for growth owing to various factors. Firstly, the region's diverse industries, from finance to healthcare, seek advanced data analytics solutions for competitive advantage. Additionally, GDPR compliance mandates robust data management tools, fuelling adoption. Furthermore, Europe's rich history in semantic technologies fosters innovation and expertise. Moreover, growing awareness of the importance of context-rich knowledge graphing drives demand. Lastly, in Europe, structured graphing holds the highest market share, driven by the need for effective organization and analysis of structured data, crucial for industries like banking and manufacturing.
According to Cognitive Market Research, the global semantic knowledge graphing market size was estimated at USD 1512.2 Million out of which Asia Pacific held the market of around 23% of the global revenue with a market size of USD 347.81 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.8% from 2024 to 2031. The Asia Pacific region anticipates significant growth in semantic knowledge graphing sales due to distinct reasons. Firstly, rapid digitalization efforts across emerging economies drive demand for advanced analytics solutions. Additionally, the region's expanding start-up ecosystem fosters innovation and entrepreneurship in semantic technologies. Furthermore, rising investments in AI and data analytics by governments and enterprises boost adoption. Moreover, in Asia Pacific, natural language processing knowledge graphing experiences the fastest growth, driven by the need for advanced NLP capabilities in diverse languages and contexts. Lastly, contextual insights are crucial for businesses across the region, enhancing decision-making processes and customer experiences.
According to Cognitive Market Research, the global semantic knowledge graphing market size was estimated at USD 1512.2 Million out of which Latin America market of around 5% of the global revenue with a market size of USD 75.61 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.2% from 2024 to 2031. Sales of semantic knowledge graphing in Latin America are expected to increase owing to several unique factors. Firstly, the region's diverse industries, from e-commerce to agriculture, seek to harness the power of data analytics for growth. Additionally, growing adoption of cloud computing and AI technologies drives demand for semantic solutions. Furthermore, in Latin America, entity resolution semantic graphing experiences rapid growth, addressing challenges in reconciling and duplicating data across various sources. Moreover, the region's dynamic business environment fosters innovation and entrepreneurship, driving market expansion. Lastly, in Latin America, Brazil dominates the market share, reflecting the country's technological advancements and market potential.
According to Cognitive Market Research, the global semantic knowledge graphing market size was estimated at USD 1512.2 Million out of which Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 30.24 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.5% from 2024 to 2031. The MEA region anticipates significant growth in semantic knowledge graphing sales due to distinctive reasons. Firstly, increasing digital transformation initiatives across industries drive demand for advanced data analytics solutions. Additionally, the region's unique geopolitical landscape fosters collaborations and partnerships in semantic technologies. Furthermore, rising investments in AI and machine learning technologies by governments and enterprises accelerate adoption. Moreover, in MEA, the GCC countries lead in market share, reflecting their focus on innovation and technology adoption. Lastly, in the region, link-based clustering semantic graphing experiences rapid growth, enabling businesses to uncover hidden patterns and relationships within their data.
Global Semantic Knowledge Graphing Market Report 2024 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing Semantic Knowledge Graphing Industry growth. Semantic Knowledge Graphing market has been segmented with the help of its Types, Verticals Tasks, and others. Semantic Knowledge Graphing market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
According to Cognitive Market Research, semantic search graphing held the major market share over the forecast period due to rising demand for more accurate and contextually relevant search results. Businesses are increasingly focused on improving user experience and productivity, driving the adoption of semantic search solutions. Moreover, the exponential growth of digital content necessitates advanced search capabilities to sift through vast datasets effectively. Additionally, the integration of semantic technologies enables deeper understanding of user intent and content context, enhancing the value proposition of semantic search graphing solutions.
Semantic question and answer machine graphing is the fastest-growing category over the forecast period due to several factors. Firstly, businesses are seeking to enhance customer service and support through intelligent question answering systems, driving adoption. Secondly, the proliferation of conversational AI and virtual assistants in various industries necessitates advanced semantic question answering capabilities. Additionally, the growing volume of unstructured data requires sophisticated techniques for extracting actionable insights, further fuelling demand for semantic question and answer machine graphing solutions.
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According to Cognitive Market Research, banking financial service and insurance (BFSI) hold a prominent market share due to various factors. Firstly, stringent regulatory requirements demand robust data management and analytics solutions, driving adoption. Secondly, the BFSI sector faces increasing cyber security threats, necessitating advanced semantic knowledge graphing for threat detection and prevention. Additionally, growing competition in the financial industry compels organizations to leverage data-driven insights for strategic decision-making, boosting the demand for semantic knowledge graphing solutions within the sector.
Healthcare is the fastest-growing category over the forecast period. Firstly, the healthcare industry generates vast amounts of data from patient records, medical imaging, and research, necessitating advanced semantic knowledge graphing solutions for data integration and analysis. Secondly, the increasing focus on personalized medicine and patient-centric care drives demand for semantic knowledge graphing to derive actionable insights from diverse datasets. Furthermore, the adoption of electronic health records (EHR) and telemedicine expands the scope for semantic knowledge graphing applications in healthcare, propelling market growth in the sector.
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According to Cognitive Market Research, entity resolution semantic graphing hold a prominent market share due to several factors. Firstly, businesses across various sectors face challenges in reconciling and reduplicating data from multiple sources, driving demand for advanced entity resolution solutions. Secondly, regulatory compliance requirements mandate accurate and reliable data matching processes, boosting adoption. Additionally, the proliferation of customer relationship management (CRM) systems and big data analytics necessitates robust entity resolution capabilities for effective data management and analysis, further fuelling market growth in this segment.
Link-based clustering semantic graphing is the fastest-growing category over the forecast period due to several reasons. Firstly, businesses seek to uncover hidden patterns and relationships within their data for strategic insights, driving adoption. Secondly, the growing complexity and interconnectedness of data require advanced clustering techniques to identify meaningful clusters and subgroups effectively. Additionally, the increasing focus on network analysis and social network mining in various industries boosts demand for link-based clustering semantic graphing solutions.
According to Cognitive Market Research, context-rich knowledge graphing hold a prominent market share due to various factors. Firstly, businesses require comprehensive contextual insights to drive informed decision-making, leading to higher adoption. Secondly, context-rich knowledge graphing enables organizations to capture and represent complex relationships between entities, enhancing data understanding and analysis capabilities. Additionally, the demand for personalized user experiences and targeted recommendations drives the need for contextual data processing, further propelling market growth in this segment.
Natural language processing knowledge graphing is the fastest-growing category over the forecast period due to multiple reasons. Firstly, the increasing volume of unstructured text data from various sources necessitates advanced NLP capabilities for effective analysis. Secondly, the proliferation of conversational AI and chat-bot applications drives demand for NLP-based semantic knowledge graphing solutions. Additionally, the ability to extract insights from natural language text enhances decision-making processes and enables more intelligent interactions with users, fuelling market growth in this segment.
According to Cognitive Market Research, structured graphing hold a prominent market share due to several factors. Firstly, structured data remains the backbone of many organizations, driving continuous demand for solutions to manage and analyse such data effectively. Secondly, structured graphing enables businesses to derive actionable insights from structured datasets, enhancing decision-making processes. Additionally, the scalability and reliability of structured graphing solutions make them indispensable for industries with large-scale data processing needs, further consolidating their market share.
Semi-structured graphing is the fastest-growing category over the forecast period due to various reasons. Firstly, the increasing prevalence of semi-structured data types, such as XML and JSON, necessitates advanced solutions for integration and analysis. Secondly, semi-structured graphing enables organizations to derive insights from diverse data formats, enhancing flexibility and agility in data management. Additionally, the growing adoption of NoSQL databases and schema-less data models fuels demand for semi-structured graphing solutions, driving market growth in this segment.
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Types | Semantic Search Graphing, Semantic Question and Answer Machine Graphing, Semantic Information Retrieval Graphing, Semantic Electronic Reading Graphing, Semantic Online Learning Graphing |
Verticals | Banking Financial Service And Insurance (BFSI), Manufacturing, E-Commerce, Healthcare, Government, Others |
Tasks | Link Prediction Semantic Graphing, Entity Resolution Semantic Graphing, Link-Based Clustering Semantic Graphing |
Knowledge Graphs | Context-Rich Knowledge Graphing, External-Sensing Knowledge Graphing, Natural Language Processing Knowledge Graphing |
Data Sources | Unstructured Graphing, Structured Graphing, Semi-Structured Graphing |
List of Competitors | Amazon.com Inc., Baidu Inc., Facebook Inc, Google LLC, Microsoft Corporation, Mitsubishi Electric Corporation, NELL, Semantic Web Company, YAGO, Yandex |
This chapter will help you gain GLOBAL Market Analysis of Semantic Knowledge Graphing. Further deep in this chapter, you will be able to review Global Semantic Knowledge Graphing Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
Chapter 2 North America Market Analysis
Chapter 3 Europe Market Analysis
Chapter 4 Asia Pacific Market Analysis
Chapter 5 South America Market Analysis
Chapter 6 Middle East and Africa Market Analysis
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Chapter 7 Top 10 Countries Analysis (Only Available with Corporate User License)
Competitor's Market Share and Revenue (Subject to Data Availability for Private Players)
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Types Analysis 2019 -2031, will provide market size split by Types. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Types Analysis 2019 -2031
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Chapter 11 Market Split by Verticals Analysis 2019 -2031
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Chapter 12 Market Split by Tasks Analysis 2019 -2031
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Chapter 13 Market Split by Knowledge Graphs Analysis 2019 -2031
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Chapter 14 Market Split by Data Sources Analysis 2019 -2031
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Semantic Knowledge Graphing market
Chapter 15 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Why Semantic Search Graphing have a significant impact on Semantic Knowledge Graphing market? |
What are the key factors affecting the Semantic Search Graphing and Semantic Question and Answer Machine Graphing of Semantic Knowledge Graphing Market? |
What is the CAGR/Growth Rate of Banking Financial Service And Insurance (BFSI) during the forecast period? |
By type, which segment accounted for largest share of the global Semantic Knowledge Graphing Market? |
Which region is expected to dominate the global Semantic Knowledge Graphing Market within the forecast period? |
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