A comprehensive study employed a multi-faceted approach to determine the market size of AI vision technology. The research initiated with extensive secondary data collection, delving into annual reports, press releases, investor presentations of key companies, alongside white papers, academic journals, and reputable industry publications. Websites, directories, and databases were also consulted to gather a broad spectrum of information. This secondary research phase focused on understanding the AI vision value chain, identifying key market participants, segmenting the market based on industry trends and geographical locations, and pinpointing crucial market and technology developments. Data from sources like the Institute of Electrical and Electronics Engineers (IEEE), Edge AI and Vision Alliance, and industry intelligence platforms such as Hoovers and Bloomberg Businessweek contributed to this initial market understanding. Following this, primary research was undertaken involving interviews with industry experts across the AI vision ecosystem. This included key industry players, subject matter experts, C-level executives, and consultants. These primary interviews aimed to validate and refine the data gathered from secondary sources. The research incorporated both top-down and bottom-up methodologies to estimate the overall market size and further segmented the market into smaller categories. Data triangulation was then applied, combining insights from both supply and demand side factors to ensure the accuracy of the market size estimations across various segments and subsegments. The study highlights that AI vision, which integrates artificial intelligence with computer vision, is being adopted across sectors like healthcare, manufacturing, transportation, retail, and agriculture, offering functionalities such as real-time object detection, image recognition, and enhanced analytical capabilities, thereby improving efficiency and decision-making. Key stakeholders involved in the AI vision market include raw data providers, cloud storage services, AI vision system and software developers, integrators, professional service providers, and research institutions.
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