Knowledge Graph Market Size, By Task Type (Link Prediction, Entity Resolution, Link-based Clustering), By Data Source (Structured, Unstructured, Semi-structured), By Organization Size (SMEs, Large Enterprises), Application, Type, End Use, Forecast 2023 -

Knowledge Graph Market Size, By Task Type (Link Prediction, Entity Resolution, Link-based Clustering), By Data Source (Structured, Unstructured, Semi-structured), By Organization Size (SMEs, Large Enterprises), Application, Type, End Use, Forecast 2023 - 2032

Knowledge Graph Market size is projected to expand at over 13.5% CAGR from 2023-2032 driven by the ongoing development of smart cities and urban planning initiatives. Knowledge graphs enhance the efficiency of smart city projects by integrating data from sensors, traffic systems, and public services to offer optimized resource utilization and improved quality of life. With the intensifying urbanization, the demand for knowledge graphs integrated with geospatial information is further rising for making informed decision-making for smart city initiatives.

Furthermore, several market participants are developing advanced knowledge graphs to cater to diverse industries and foster optimized resource management, efficient planning, and improved operational insights, boosting the industry growth. For instance, in November 2023, Foursquare introduced its new geospatial knowledge graph as a revolutionary approach for organizing geographic datasets deploying graph technologies and the H3 grid system to alter the benefits from location data to organizations.

The overall industry is segmented into type, task type, data source, organization size, application, end-user, and region.

Based on type, the external sensing knowledge graph market is anticipated to record considerable growth from 2023-2032. External sensing technologies, such as IoT devices, sensors, and satellites, generate vast volumes of diverse data. To that end, knowledge graphs have turned essential for organizing, correlating, and deriving valuable insights from heterogeneous external data. The greater need to enhance decision-making processes by providing contextual connections is also fueling the product adoption across industries like healthcare, logistics, and smart cities.

In terms of end-use, the knowledge graph market from the media & entertainment segment is expected to witness high demand through 2032. With the increasing volumes of diverse content, knowledge graphs have gained traction for content organization, recommendation systems, and personalized user experiences. Furthermore, the development of AI and ML-integrated knowledge graphs is helping to optimize content distribution and refine audience targeting. The dynamic evolution of personalized and immersive digital experiences will further boost the segment expansion.

Asia Pacific knowledge graph industry is poised to exhibit over 16.5% growth rate from 2023-2032. The ongoing digital transformation is surging the demand for knowledge graphs across government, businesses, and research firms in the region. APAC is home to some of the leading e-commerce platforms. This is increasing the emphasis on employing knowledge graphs to fuel recommendation systems. Furthermore, the rising utilization of knowledge graphs in multifarious sectors, ranging from healthcare to banking, to interpret intricate and complicated data will boost regional industry growth.