Semantic Knowledge Graphing Market Size, Share & Trends Analysis Report By Data Source, By Knowledge Graph Type, By Task Type, By Application, By Organization Size, By Industry Vertical, By Region, And Segment Forecasts, 2023 - 2030

Semantic Knowledge Graphing Market Size, Share & Trends Analysis Report By Data Source, By Knowledge Graph Type, By Task Type, By Application, By Organization Size, By Industry Vertical, By Region, And Segment Forecasts, 2023 - 2030

Semantic Knowledge Graphing Market Growth & Trends

The global semantic knowledge graphing market size is expected to reach USD 3.66 billion by 2030, expanding at a compounded annual growth rate (CAGR) of 14.2% from 2023 to 2030, according to a new report by Grand View Research, Inc. The market has grown steadily in recent years as more organizations recognize the value of semantic technologies in organizing and analyzing large amounts of data. Semantic knowledge graphs are used in a variety of applications, including search engines, recommendation systems, and natural language processing.

The key trend in the market is the increasing adoption of graph database technologies. Graph databases are well-suited to representing and querying large, complex, and interconnected data sets, making them an ideal choice for building semantic knowledge graphs. Furthermore, the growing interest in knowledge graphs for use in artificial intelligence and machine learning applications is anticipated to increase the global market. By leveraging the structured data in a knowledge graph, AI and ML systems can make more accurate predictions and recommendations.

There is a growing focus on using knowledge graphs in specific industries, such as healthcare and finance. In these domains, knowledge graphs can help to integrate and analyze large amounts of complex data from multiple sources, improving decision-making and driving innovation. Moreover, there is also a trend toward interoperability and standardization in the market. There are now several widely used knowledge graph standards, such as the Resource Description Framework (RDF) and the Web Ontology Language (OWL), which enable data to be shared and reused across different applications and systems.

North America dominates the market for semantic knowledge graphs in 2022, with many companies and startups developing innovative applications of the technology. This is partly due to the presence of major technology hubs such as Silicon Valley and Seattle and the availability of venture capital funding. Asia Pacific is a region that is experiencing rapid growth in the market. Countries such as China, Japan, and South Korea have made significant investments in AI and big data technologies, driving the adoption of knowledge graphs in the region. Additionally, there is a growing interest in knowledge graphs for use in areas such as e-commerce and social media.

Semantic Knowledge Graphing Market Report Highlights

• The market growth is driven by a combination of technological advancements, changing customer expectations, and regulatory pressures. By providing a more sophisticated approach to data management and analysis, semantic knowledge graphs are helping businesses stay ahead of the curve and gain a competitive edge in today's data-driven economy
• The structured data source segment is projected to grow with the fastest CAGR of 15.6% from 2023 to 2030, the adoption of open standards, integration with machine learning and AI, and the growth of graph databases
• The Information Retrieval segment by application is expected to grow with a CAGR of 15.1% from 2023 to 2030, owing to the increasing demand for more sophisticated search functionality and the need for businesses to extract insights from large volumes of data
• The Asia Pacific region is expected to grow with the fastest CAGR of 16.4% from 2023 to 2030. The regional market is likely to witness a significant gain in revenue share over the forecast period due to growing interest in semantic knowledge graphs, particularly in countries like China and India

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