In this article, we’ve collected information on how AI has transformed manufacturing by automating routine tasks with never-sleeping machines and reducing operational costs. We will share some of the most promising use cases and look at the opportunities and challenges of implementing AI.
The state of AI adoption in manufacturing
The worldwide market for artificial intelligence in manufacturing stood at a valuation of US $17.5 billion in 2022 and is projected to surge to US $267.3 billion by 2030, expanding at an annual growth rate of 40.6% from 2024 to 2030.
According to Deloitte, the manufacturing sector is set to produce around 1,812 petabytes (PB) of data annually, surpassing the data output of the communications, finance, retail, and a range of other industries.
The increasing demand for AI in the American manufacturing sector is driven by the need to efficiently handle escalating production volumes and complexity of data. This movement is further emphasized by the adoption of cutting-edge manufacturing technologies and principles of Industry 4.0, as well as a shift toward smart factories.
In Europe, the robotics market in various sectors, including healthcare, manufacturing, and logistics, is experiencing significant growth, supported by government…
