Computer Vision (CV) models are increasingly being used across various industries, with hundreds of use cases and commercial applications. The market for CV-based applications is expected to continue growing, with innovations and new applications emerging every year. CV models are trained on large datasets, often requiring significant resources and expertise, but can provide valuable insights and improve efficiency in fields such as insurance, manufacturing, sports analytics, identity verification, agriculture, energy and infrastructure, medical and healthcare, mobility and automotive, retail, and geospatial analysis. In 2024, we can expect to see advancements in areas such as active learning pipelines, generative AI, Edge AI, and data-centric computer vision models, which will drive commercial applications and adoption of this technology forward.