A latest survey on Artificial Intelligence in Indian Manufacturing Market is conducted to provide hidden gems performance analysis. The study is a perfect mix of qualitative and quantitative information covering market size breakdown of revenue and volume (if applicable) by important segments. The report bridges the historical data from 2015 to 2020 and forecasted till 2026*. The outbreak of latest scenario in global market have made companies uncertain about their future outlook as the disturbance in supply chain and production line have made serious economic slump. Some are the key & emerging players that are part of coverage and have being profiled are Abee Research Labs Pvt. Ltd., EroNkan Technologies Pvt. Ltd., Flutura Business Solutions Pvt. Ltd., LivNSense Technologies Pvt. Ltd., Universal Robots (India) Pvt. Ltd., Altizon Systems Pvt. Ltd., IBM India Pvt. Ltd..
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The automated manufacturing machines use AI solutions to identify faults in the manufacturing process and notify the production team to eliminate product quality issues. Manufacturing companies are also installing AI-enabled predictive maintenance systems that are capable of self-monitoring and reporting malfunctions in real time. IBM has developed cognitive assistants using its cognitive computing platform Watson, for manufacturers to reduce errors and improve product quality. Similarly, Qualitas Technologies has developed the Eagle Eye Inspection System, which uses an AI-based vision controller to check the quality of products.
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Over the past few years, venture capital firms and global companies like GVFL Ltd., Boschand Hitachi High-Tech Solutions Corporation have invested in Indian AI start-ups serving the manufacturing industry. These investment activities have supported the development of AI-based solutions, as a result, propelling the growth of AI in the Indian manufacturing industry. Indian manufacturers are continuously harnessing the power of Industrial Internet of Things (IIoT) by incorporating intelligent controls, sensors and smart switches in their production units. Use of IIoT, together with AI and data analytics, is expected to benefit the manufacturing industry by providing real-time insights for faster decision making.
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