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Based on type, the market is divided into solution and services. The solution segment accounted for around 63% market share in 2022 and is anticipated to grow significantly in the coming years due to a surge in demand for diverse solutions. With AI, ML, and big data applications expanding across industries, the need for specialized vector database solutions is on the rise. This growth spans various solution types, such as open-source, cloud-based & proprietary databases, reflecting the increasing requirement for tailored solutions that efficiently manage high-dimensional data, thereby supporting a wide array of user needs and preferences.
Based on technology, the market is categorized into natural language processing, computer vision, and recommendation systems. The Natural Language Processing (NLP) segment accounted for a market share of around 45% in 2022. The segment is driving the vector database industry size by leveraging high-dimensional data handling. NLP technologies require efficient storage and analysis of complex data structures such as word embeddings & text vectors. As NLP applications expand across industries, the demand for vector databases capable of managing and processing text-based vectors rises. Growth in this segment propels the market by catering to the specific needs of NLP-driven applications and their data processing requirements.
North America vector database market accounted for a revenue share of around 35% in 2022 and is poised for substantial growth over the forecast period due to expanding AI & ML applications across various industries. With the region being an early adopter of advanced technologies, the demand for high-dimensional data management solutions including vector databases is on the rise. North America's robust technological infrastructure and inclination toward innovative solutions are key drivers contributing to the region's anticipated significant expansion in the vector database sector.