Dublin, Oct. 28, 2022 (GLOBE NEWSWIRE) — The “Artificial Intelligence in Manufacturing Market by Supply (Hardware, Software and Services), Industry, Application, Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision) and Region – Global Forecast to 2027” Report has been added ResearchAndMarkets.com Offer.
The global market size for artificial intelligence in manufacturing is estimated at USD 2.3 billion in 2022 and is projected to reach USD 16.3 billion by 2027; Growing at a CAGR of 47.9% from 2022 to 2027. The growing demand for factors such as improving the computing power of AI chipsets is expected to lead the market to grow at an estimated growth rate.
The increasing adoption of AI has been observed as a new driver for semiconductor chipset manufacturers in recent years. GPU/CPU manufacturers such as NVIDIA, AMD, Intel, Qualcomm, Huawei and Samsung have invested heavily in AI hardware to develop chipsets compatible with AI-based technologies and solutions. In addition to CPUs and GPUs, application-specific integrated circuits (ASICs) and field-programmable gate arrays (FPGAs) are being developed for AI applications. For example, Google has built a new ASIC called the Tensor Processing Unit (TPU).
The computationally intensive chipset is one of the critical parameters for processing AI algorithms; The faster the chipset, the faster it can process the data needed to build an AI system. At present, AI chipsets are mainly used in data centers/high-end servers because end computers are currently unable to handle such massive workloads and lack sufficient power and timeframes. NVIDIA has a range of GPUs that offer GPU memory bandwidth based on the application. For example, GeForce GTX Titan X offers 336.5 GB/s memory bandwidth and is mainly used on desktops, while Tesla V100 16 GB offers 900 GB/s memory bandwidth and is used in AI applications.
Application of AI for intelligent business processes
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