제조 시장 조사

Emerging from the Pandemic amid big changes

The Global Manufacturing Market emerged from the COVID pandemic, challenged by supply chain instability (headlined by a large-scale semiconductor shortage), rising freight and raw material costs, a workforce shortage, and an ever-expanding need for digital integrations and accessibility across all sectors. Furthermore, with US manufacturers reporting phishing or ransomware security incidents in the past 12 months, Cybersecurity has become a bigger need in the sector.

Manufacturers are building back fast despite these significant headwinds with rising demand, and are expected to return to pre-pandemic production within several years.

팬데믹으로 인해 제조업체는 옴니채널 접근 방식을 조정하고 고객과 함께 매력적인 경험을 창출하게 되었습니다. 따라서 효율성, 프로세스 개선 및 신기술 통합에 대한 적극적인 초점이 최고의 부문을 발전시키고 있습니다.

AI, IIoT 및 연결 기술

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 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.

향상된 운영 효율성의 데이터

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.