The AI In Computer Vision Market is being driven by Proliferation of advanced multimodal and generative AI models
The AI In Computer Vision Market is expected to grow at a CAGR of 17.8% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 26675.5 million. The global AI in computer vision market is experiencing a pivotal shift with the emergence of large multimodal and foundation models. This transition signifies a substantial advancement from mono-function, task-specific models to all-encompassing, versatile systems. These advanced models enable simultaneous perception, reasoning, and content generation across various data types, such as images, videos, text, and audio. This evolution broadens the computer vision landscape from rudimentary object recognition to sophisticated visual and contextual comprehension. The proliferation of these robust models, both commercially and open-source, is democratizing access to capabilities previously confined to theory. A notable instance of this trend's impact occurred in late 2023, when OpenAI's GPT-4V model, offering API access through Microsoft Azure AI, gained considerable traction.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
255 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 17.8% |
Market growth 2025-2029 |
USD 26675.5 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
17.2 |
Key countries |
US, China, Germany, UK, South Korea, Canada, France, Japan, Australia, and India |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI in Computer Vision market encompasses neural network architectures, image sensor technology, and camera calibration methods, with a focus on data annotation services for model training. Performance is optimized through model evaluation metrics, benchmarking, and processing speed techniques. Scalability, deployment infrastructure, and privacy-preserving techniques are crucial for large-scale applications. Cloud-based vision platforms and on-device inference engines offer different advantages. Security protocols, dataset bias mitigation, and robustness testing ensure model reliability. Explainable AI methods and model explainability metrics promote transparency and ethical considerations. Bias detection algorithms, fairness metrics, and regulatory compliance address ethical concerns. Data governance frameworks and privacy-enhancing technologies maintain data security.
In the dynamic and innovative realm of IT software, the application software market segment holds significant weight, particularly within Computer Vision. This sector encompasses companies specializing in the development and production of software solutions for object detection algorithms, image classification models, deep learning frameworks, and convolutional neural networks. These technologies form the backbone of Computer Vision pipelines, enabling advanced functionalities such as facial recognition, traffic monitoring, and industrial inspection. The global Computer Vision application software market size is calculated based on the combined revenue generated by these companies, contributing to the broader IT application software industry.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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