AI image processing is transforming industries by analyzing and interpreting visual information from digital images. The market size of AI image recognition was valued at $2.6 billion in 2021 and is projected to reach $6.6 billion by 2025. This growth is driven by the increasing adoption of AI in various fields, including healthcare, security, retail, and agriculture. AI image processing combines artificial intelligence and computer vision to understand and manipulate visual data, offering applications such as image enhancement, object detection, image intelligence, and image safety. The process involves data collection, preprocessing, feature extraction, model training, validation, inference, post-processing, and continuous learning. Recent applications of AI in image processing include healthcare, security, retail, and agriculture, where it is being used to improve accuracy, efficiency, and speed in various tasks such as medical diagnoses, surveillance, inventory management, and customer experience enhancement. However, challenges in AI image processing include data privacy and security, bias, robustness, interpretability, and integration with emerging technologies. Businesses can leverage AI image processing to automate data entry, extract valuable information, improve accuracy and precision, save costs, and enhance customer experience across various industries. Top AI image processors for businesses include Nanonets, Google Cloud Vision, Amazon Rekognition, IBM Watson Visual Recognition, Microsoft Azure Computer Vision, OpenCV, and DeepAI.