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Rapid Growth In Data Volume And Complexity Driving Market Due To Need For Efficient Data Organization And Analysis: Core Growth Enabler in the Knowledge Graph Market, 2025
Knowledge Graph
What Will the Knowledge Graph Industry Market Size Be by 2025?
Over the years, there has been an explosive growth in the market size of the knowledge graph. Its size is projected to escalate from $1.31 billion in 2024 to $1.61 billion the following year with a Compound Annual Growth Rate (CAGR) of 22.7%. The previously observed growth can be ascribed to factors such as escalating data intricacy, the emergence of big data, increasing acceptance in enterprises, the broadening of semantic search and more intense needs for data integration.
What's the Long-Term Growth Forecast for the Knowledge Graph Market Size Through 2029?
The market size of the knowledge graph is predicted to undergo significant expansion within the next several years, culminating in an estimated total of $3.65 billion by 2029. This translates to a compound annual growth rate (CAGR) of 22.7%. Contributors to this growth during the prophesied period include the swift adoption of artificial intelligence, proliferation of IoT, an increasing request for real-time information, digital transformation development, and a growing necessity for the governance of data. Predicted trends within this period comprise of LLM integration, the automation of knowledge extraction, advancements within AI, updates to knowledge bases in real-time, and a rising demand for explainable AI.
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What Are the Key Growth Drivers Fueling the Knowledge Graph Market Expansion?
The surge in the volume and intricacy of data is predicted to fuel the expansion of the knowledge graph market. The term data volume refers to all the data generated, while data complexity relates to its variety and the difficulties in understanding and organizing it due to its connections. The explosion in data volume can be attributed to the widespread utilization of the internet and digital devices, which consistently churn out vast quantities of information. Knowledge graphs aid in managing large volumes of complex data by structuring information into related entities and relationships, facilitating effective data retrieval, assimilation, and analysis. For instance, a report by The Linux Foundation, a non-profit consortium based in the US, noted that in December 2022, the data growth for an average end-user organization rocketed to 2,208 TB, signifying a jump of 215.43%, almost tripling the 700 TB noted in 2021. Consequently, the swift increase in data volume and complexity is bolstering the growth of the knowledge graph market.
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What Are the Key Trends Driving Knowledge Graph Market Growth?
Companies that are key players in the knowledge graph market are now emphasizing the integration of artificial intelligence technologies, notably the convergence of knowledge graphs and data lakehouse technology. This amalgamation aids in refining data handling, scalability, and insights by correlating varying data types. Data lakehouse technology combines the storage capabilities of a data lake and the structured organization of a data warehouse, providing businesses a single platform for storing, managing, and analyzing diverse data types. An example is Kobai Inc., a software company based in the US that introduced kobai saturn in March 2023. This is the inaugural knowledge graph tailored to leverage the structure of data lakehouse for improved scalability and efficiency. Kobai saturn merges all data use cases into a singular semantic layer, ensuring information is readily accessible and aids in decision-making. This integration empowers companies to combine structured knowledge graphs with data lakehouses' flexibility, thereby enhancing data processing and garnering deeper insights.
How Is the Knowledge Graph Market Segmented?
The knowledge graphmarket covered in this report is segmented -
1) By Type: General Knowledge Graph, Industry Knowledge Graph
2) By Deployment Type: On-Premises, Cloud-Based, Hybrid
3) By Organization Size: Large Enterprises, Small And Medium-Sized Enterprises
4) By Application: Data Analytics And Business Intelligence, Data Governance And Master Data Management, Infrastructure And Asset Management, Process Optimization And Resource Management, Product And Configuration Management, Risk Management, Compliance, And Regulatory, Virtual Assistants, Self-Service Data, And Digital
5) By End-User: Healthcare, E-Commerce And Retail, Banking, Financial Services, And Insurance (BFSI), Government, Media And Entertainment, Other End-Users
Subsegments:
1) By General Knowledge Graph: Semantic Search, Recommendation Systems, Virtual Assistants, Question Answering Systems
2) By Industry Knowledge Graph: Healthcare Knowledge Graphs, Financial Knowledge Graphs, Retail Knowledge Graphs, Telecom Knowledge Graphs, Manufacturing Knowledge Graphs, Media And Entertainment Knowledge Graphs, Legal And Compliance Knowledge Graphs
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Which Companies Are Leading the Charge in Knowledge Graph Market Innovation?
Major companies operating in the knowledge graph market are Amazon Web Services, Google LLC, International Business Machines Corporation (IBM Corporation), Oracle Corporation, SAP SE, Altair Engineering Inc., Neo4j Inc., DataStax Inc., MarkLogic Corporation, Cambridge Semantics Inc., ArangoDB GmbH, TigerGraph Inc., Ontotext AD, Stardog Union Inc., Fluree PBC, Semantic Web Company GmbH, Datavid Limited, OpenLink Software Inc., Bitnine Co. Ltd., Franz Inc., Diffbot Technologies Corporation, Redis Inc.
Which Regions Are Leading the Global Knowledge Graph Market in Revenue?
North America was the largest region in the knowledge graph market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the knowledge graph market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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