Artificial Intelligence in Manufacturing Market – Global Opportunities & Forecast, 2020-2027

1. Artificial Intelligence in Manufacturing Market

2. This report researches and evaluates the impact of COVID-19 outbreak on the market, including potential opportunities and challenges, drivers, and risks associated with the market. We present a detailed assessment of market growth based on numerous scenarios.

3. Market Overview The market report offers a detailed analysis of the market size, regional and country-level market size, segmentation, market growth, market share, competitive landscape, and the impact of domestic and global leading players.

4. Market Drivers The rising venture capital investments and the vast availability of big data at the global level are the significant factors contributing to the growth of artificial intelligence in manufacturing market size. Various artificial intelligence technologies are being widely adopted by manufacturers in numerous sectors, including pharmaceuticals, food and beverages, automotive, and energy & power. Moreover, the accelerating demand for automation and the rapidly evolving industries and industrial IoT is promoting the manufacturers towards the adoption of several AI-based technologies to cater the growing demand of the consumers.

5. The strong demand for hardware platforms and the rising needs for high- computing processors to run a wide range of AI software will further surge the market growth. In addition to this, the accelerating demand for machine learning technologies and computer vision to inspect various machines, along with the increasing adoption of AI technologies in factories to decrease machine downtime, enhance productivity, and reduce the operational cost will further promote the end-users to opt for various AI technologies in the manufacturing process. As per the artificial intelligence in manufacturing market report, with the emergence of the COVID-19 crisis, the demand for AI in manufacturing market will witness an upsurge in demand, especially in 2020. The rising focus on staying at homes and maintaining social distance is encouraging the manufacturers towards the adoption of AI technologies to bring automation in the manufacturing and minimize the physical contact between the workers, thereby minimizing the possibilities of the spread of the coronavirus.

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