Semantic Knowledge Graphing Market Report 2025

This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The semantic knowledge graphing market size has grown rapidly in recent years. It will grow from $1.49 billion in 2024 to $1.71 billion in 2025 at a compound annual growth rate (CAGR) of 15.3%. The growth in the historic period can be attributed to growing need for interoperability, growing need for structured data, increasing number of internet users, rising demand for semantic knowledge graphing in the healthcare sector, growing demand for semantic knowledge graphing in the e-commerce sector, rising demand for semantic knowledge graphing in the manufacturing sector.

The semantic knowledge graphing market size is expected to see rapid growth in the next few years. It will grow to $2.77 billion in 2029 at a compound annual growth rate (CAGR) of 12.7%. The growth in the forecast period can be attributed to increasing use of natural language processing and machine learning, increasing need for data integration and analytics, increasing volume of data on the internet, growing traction of knowledge graphs for quick knowledge base search, advancements in resolving data access and availability issues, changing in customer expectations, increasing demand for 5g technology in emerging economies. Major trends in the forecast period include technological advancements, innovative solutions, innovation and excellence, business partnership and collaboration, and integration with other technologies.

The projected growth of the semantic knowledge graphing market is driven by the increasing need for structured data. Structured data refers to well-organized and formatted information that is easily identifiable and searchable by computer systems. Semantic knowledge graphing plays a pivotal role in enhancing the value and utility of structured data by providing a framework for meaningful organization and connection of information. As per a survey conducted by Komprise, a US-based data management company, 87% of IT leaders in 2022 rated managing unstructured data growth as a top priority, showing a significant increase from 70% in 2021. This emphasizes the growing demand for structured data, a key driver propelling the growth of the semantic knowledge graphing market.

Prominent companies in the semantic knowledge graphing market are actively developing innovative products to effectively organize and connect both structured and unstructured data. An example is Amazon Neptune, introduced by Amazon Web Services (AWS), a US-based cloud computing company, in October 2022. Amazon Neptune is a purpose-built, high-performance graph database service designed to address the storage and processing needs of extensive interconnected datasets. Utilizing semantic technologies, Amazon Neptune facilitates efficient querying and analysis of data, making it easier to build and run applications that work seamlessly with highly connected data.

In July 2024, Squirro, a US-based Generative AI platform company, announced its acquisition of Synaptica for an undisclosed amount. This strategic move is intended to bolster Squirro's AI capabilities by integrating Synaptica's knowledge graph technologies, which will enhance accuracy, knowledge discovery, and business process automation. Synaptica is recognized for its expertise in developing structured taxonomies that provide a foundation for creating semantic knowledge graphs, thereby improving the understanding of relationships and meanings between various concepts. This acquisition positions Squirro to offer more advanced AI solutions, leveraging enhanced data comprehension and automation in its services.

Major companies operating in the semantic knowledge graphing market report are Amazon.com Inc., Google LLC, Microsoft Corporation, Facebook Inc., The International Business Machines Corporation, Oracle Corporation, Mitsubishi Electric Corporation, SAP SE, Thales Group, Baidu Inc., LinkedIn Corporation, Wipro Limited, Yandex N.V., OpenLink Software, Neo4j, MarkLogic, Bitnine, Datavid, Ontotext, Stardog Union, TopQuadrant, GraphAware, Cambridge Semantics, Memgraph, Franz Inc.

North America was the largest region in the semantic knowledge graphing market in 2024. The regions covered in the semantic knowledge graphing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the semantic knowledge graphing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The semantic knowledge graphing market consists of revenues earned by entities by providing services such as manage and extract data, improve efficiency, and deliver personalized experiences across various verticals, including healthcare, media and entertainment, financial services, e-commerce, and manufacturing. The market value includes the value of related goods sold by the service provider or included within the service offering. The semantic knowledge graphing market also includes sales of CPUs, GPUs, memory, storage, and network devices. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The IT market is segmented into IT services; computer hardware; telecom and software products.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

Semantic knowledge graphing involves the systematic creation of a visual representation of knowledge in a structured format. This representation utilizes semantic relationships between different concepts and entities. Semantic knowledge graphs find applications in various fields, including artificial intelligence, data management, and information retrieval. They are employed to effectively portray intricate relationships between data entities in a meaningful and interconnected manner.

In semantic knowledge graphing, the primary knowledge graph types include context-rich knowledge graphs, external-sensing knowledge graphs, and natural language processing (NLP) knowledge graphs. Context-rich knowledge graphs play a crucial role in integrating and analyzing data from IoT devices and sensors, offering advanced insights into complex systems and environments. Utilizing structured, unstructured, and semi-structured data sources, these knowledge graphs support applications such as link prediction, entity resolution, and link-based clustering. They find practical use in semantic search, question and answer (QNA) systems, information retrieval, electronic reading, and other applications, particularly in industries such as banking, financial services and insurance (BFSI), healthcare, and manufacturing.

The semantic knowledge graphing market research report is one of a series of new reports that provides semantic knowledge graphing market statistics, including semantic knowledge graphing industry global market size, regional shares, competitors with a semantic knowledge graphing market share, detailed semantic knowledge graphing market segments, market trends and opportunities, and any further data you may need to thrive in the semantic knowledge graphing industry. This semantic knowledge graphing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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