制造业市场研究

SIS 国际市场研究与战略

走出疫情，迎接巨大变革

全球制造业市场在新冠疫情中面临挑战，包括供应链不稳定（以大规模半导体短缺为首）、运费和原材料成本上涨、劳动力短缺以及各行各业对数字集成和可访问性的需求不断增长。此外，由于美国制造商在过去 12 个月中报告了网络钓鱼或勒索软件安全事件，网络安全已成为该行业的更大需求。

尽管面临巨大阻力，但随着需求不断增长，制造商仍在迅速恢复生产，预计将在几年内恢复到疫情前的生产水平。

疫情迫使制造商调整全渠道方法，为客户创造引人入胜的体验。因此，积极关注效率、流程改进和新技术集成正在推动最佳细分市场向前发展。

人工智能、工业物联网和互联技术

Artificial Intelligence and the Industrial Internet of Things (IoT) have graduated from buzzwords to a prioritized focus, driving post-pandemic manufacturing improvement. Improved sensor data and investment in using that data through IoT, machine learning algorithms, predictive maintenance, and customer experience optimization tools have a been a large driver in manufacturing’s improved efficiency. For many industries like healthcare, retail, automotive, and transport, the IIoT will significantly improve reliability, production, and customer satisfaction. Acceleration in digital technology adoption will bring operational efficiencies to scale.

Artificial Intelligence and the Industrial Internet of Things (IoT) have truly graduated from buzzwords to a prioritized focus, driving post-pandemic manufacturing improvement. Improved sensor data and investment in using that data through IoT, machine learning algorithms, predictive maintenance, and customer experience optimization tools have been a large driver in manufacturing’s improved efficiency. For many industries like healthcare, retail, automotive, and transport, the IIoT will significantly improve reliability, production, and customer satisfaction.

数据助力提高运营效率

SIS 国际市场研究与战略

Multi-pronged supply chain strategies will help protect companies from the vast challenges and rising costs of goods. Leveraging existing and recently enhanced data “fabrics” to connect the dots and work through complex scenarios will find the most efficient outcome in supply chain-related problems. Advancements in so-called “digital supply networks” and analytics systems help plan, provide additional reserve materials, and give manufacturers more isolation from the recent supply chain instability.

Furthermore, existing and additional new staffing data can help understand concerns, improve retention, and improve overall work efficiencies as remote work becomes a desired alternative, even in the manufacturing world.