AI Development Platforms offer developers and data scientists a comprehensive set of AI development tools, including integrated development environments (IDEs), libraries, and APIs that support various stages of AI model development. As a result, AI solutions can be developed and enhanced or scaled down based on business requirements and deployed across multiple environments. Moreover, development platforms can facilitate collaboration among development teams and reduce the time-to-market for AI solutions. These platforms serve to simplify the often complex processes involved in AI development, such as data preprocessing, model training, and deployment, so reducing manual effort and enhancing productivity.
In this report we also highlight the role of no-code AI platforms making AI accessible to individuals with limited technical expertise and extending its application across various fields. Additionally, we emphasise the educational impact of these platforms, which equip AI practitioners with essential tools and knowledge, fostering innovation and extending capabilities.
We further analyse these platforms using a four-quadrant framework to categorise them based on their market maturity and innovation, identifying pacemakers, contenders, disrupters and specialists in the space.
Overall, AI Development Platforms are a core aspect of the fast-evolving AI landscape. Their key role is to democratise AI development, making it more accessible and less constrained through the availability of AI resources or specific technical expertise.
