The semantic knowledge graphing market has seen considerable growth due to a variety of factors.
• The market size of semantic knowledge graphing has experienced swift expansion in the previous years. Market growth is projected to rise from $1.49 billion in 2024 to $1.71 billion in 2025, marking a compound annual growth rate (CAGR) of 15.3%.
This growth during the historic period is driven by the surge in the need for interoperability, an increased demand for structured data, a proliferation of internet users, a soaring demand from the healthcare sector for semantic knowledge graphing, an escalating demand from the e-commerce industry, and an increasing desire for semantic knowledge graphing within the manufacturing sector.
The semantic knowledge graphing market is expected to maintain its strong growth trajectory in upcoming years.
• Expectations for the market size of semantic knowledge graphing are set to rocket in the coming years, reaching a value of $2.77 billion by 2029. This indicates a compound annual growth rate (CAGR) of 12.7%.
The drivers of this impressive growth during the forecast period are got attributed to the rising application of machine learning and natural language processing, growing requirement for data integration and analytics, escalating amount of internet data, increasing adoptions of knowledge graphs for efficient knowledge base searches, developments in solving issues related to data access and availability, modifications in client expectations, and heightening demand for 5G technology in up-and-coming markets. Major trends forecasted during this period comprise of technological advancements, cutting-edge solutions, a focus on innovation and excellence, business collaborations and partnerships, and synergy with other technologies.
The escalating demand for arranged data is forecasted to drive the expansion of the semantic knowledge graphing market in the future. Arranged data is essentially data that is sorted and designed in a manner that computer systems can easily distinguish and search. Semantic knowledge graphing elevates the significance and practicality of arranged data by offering a structure for arranging and linking data in a significant manner. For example, a study by Komprise, an American data management firm, revealed that 87% of IT leaders identified the management of unstructured data growth as a crucial focus in 2022, a rise from 70% in 2021. Thus, the escalating need for arranged data is propelling the expansion of the semantic knowledge graphing Market.
The semantic knowledge graphing market covered in this report is segmented –
1) By Knowledge Graph Type: Context-Rich Knowledge Graphs, External-Sensing Knowledge Graphs, Natural Language Processing (NLP) Knowledge Graphs
2) By Data Source: Structured, Unstructured, Semi-Structured
3) By Task Type: Link Prediction, Entity Resolution, Link-Based Clustering
4) By Application: Semantic Search, Question And Answer (Qna) Machines, Information Retrieval, Electronic Reading, Other Applications
5) By End-User: Banking, Financial Services And Insurance (BFSI), Healthcare, Manufacturing
Subsegments:
1) By Context-Rich Knowledge Graphs, Domain-Specific Knowledge Graphs, Enterprise Knowledge Graphs
2) By External-Sensing Knowledge Graphs: IoT-Integrated Knowledge Graphs, Sensor Data-Driven Knowledge Graphs
3) By Natural Language Processing (NLP) Knowledge Graphs: Textual Knowledge Extraction Graphs, Semantic Relationship Graphs
Leading businesses in the semantic knowledge graphing industry are promoting innovative products, like Amazon Neptune, to effectively manage and link both structured and unstructured data. Amazon Neptune, a graph database service, is designed to accommodate expansive interconnected datasets' storage and processing requirements. For instance, in October 2022, Amazon Web Services (AWS), an American corporation specializing in cloud computing, launched Amazon Neptune- an intent-built, high-performance graph database engine tailored to store billions of relationships and enable graph queries. This service utilizes semantic technologies to facilitate data querying and analysis, simplifying the building and operation of applications that deal with highly connected data.
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.