製造业市场的未来：数位工厂、微型工厂、超级工厂、技术、设计和网路安全 - 按地区（预测至 2030 年）

Future of Manufacturing Market by Digital Factory, Micro Factory, Giga Factory, Technology, Design, Cybersecurity - Global Forecast to 2030

出版日期: 2024年12月13日 | 出版商:

MarketsandMarkets | 英文 110 Pages | 订单完成后即时交付

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协作机器人透过实现更灵活、高效和人性化的生产环境，正在改变製造业的面貌。

与工业机器人不同，协作机器人旨在与人类操作员一起安全工作，协助完成重复性或体力需求较高的任务。这种协作使员工能够专注于推动创新的更复杂的任务，从而提高生产力。协作机器人易于编程和重新配置，使其成为高混合、小批量行业的理想选择，透过允许较小的製造商开始使用协作机器人实现自动化，降低了自动化的障碍。协作机器人配备了更好的感测器，可以在发生事故时安全地停止或减速，从而形成更和谐的工作空间。人们相信，协作机器人融合了人类创造力和机器人精度，将使製造变得更加敏捷，并创造出更具弹性和响应能力的製造环境，以满足不断变化的世界的需求。

数位双胞胎技术透过创新製造系统，专注于提高生产力和永续，在製造业转型中发挥关键作用。 Altair Engineering 对製造公司进行的最新全球数位双胞胎调查显示，71% 的製造商正在利用数位双胞胎技术的概念来了解其对业务转型的影响。技术的广泛使用可以提高供应链效率、缩短上市时间和提高质量，而不会浪费资源或承担社会责任。例如，波音公司将数位双胞胎应用到产品设计和测试以及产品维护中，以减少组装时间、降低维护成本并提高出错机率。 BMW利用数位双胞胎技术来整体重现、开发和优化车辆性能和安全性。各国政府也正在拥抱数位孪生，美国投资了半导体製造的数位孪生，英国建立了国家数位孪生中心。 BMW、达梭系统、LG Innotek 和 NVIDIA 的联合体正在将数位双胞胎应用到其他产业，以推动更智慧的工厂车间和数位转型。

物联网和边缘运算是创新的解决方案，使生产商能够不断追踪和分析设备状况、使用情况和潜在问题，从而迅速改变製造格局。这种即时资料收集是预后诊断和预防性维护的基础，可显着减少整体设备停机时间并延长机器的耐用性。研究表明，使用智慧组件作为解决方案可以减少 70% 的设备故障和 25% 的维护成本，同时提高能源效率和整体製造效率。例如，义大利水泥公司 Armal SpA 透过物联网追踪机器能源支出，能够将能源成本降低 40%。例如，好时透过製造过程中的物联网感测器，每 14,000 加仑批次的糖果尺寸每减少 1%，即可节省 50 万美元的成本。这些创新为全球智慧和优化製造环境铺平了道路。

本报告审视了全球製造业市场，总结了关键技术和趋势、区域趋势以及 2030 年及以后的前景。

Cobots are changing the face of manufacturing as they allow more flexible, efficient, and human-centric production environments. Unlike industrial robots, cobots are designed to safely work alongside human operators, helping with repetitive or physically demanding tasks. This collaboration boosts productivity by allowing workers to focus on more complex tasks that drive innovation. Since programming and reconfiguration are convenient for cobots and perfect for high-mix and low-volume industries, they lower the barriers of automation by letting smaller manufacturers take off on automation with them. They have superior sensors, making it safe to stop or slow movement for accidents, thus making for a more harmonious working space. Manufacturing will be more agile as they implement cobots, a blend of human creativity and robotic precision, to shape a more resilient and responsive manufacturing landscape to meet the changing global demands.

"Digital Twins are Driving the Future of Manufacturing by Enhancing Efficiency and Innovation"

Digital twin technology plays a vital role in the transformation of the manufacturing by innovating its manufacturing systems towards increased productivity and a focused orientation to sustainable development. The latest survey of the manufacturers conducted by Altair Engineering on the Global Digital Twin Survey revealed that 71% of the manufacturers are using the concept of digital twin technology with an understanding of the effect of transforming their operations. The use of technology is prevalent in increasing supply chain efficiency, decreasing the time to introduce products in the market, and enhancing their quality without risking the waste of resources and social responsibility. For instance, Boeing applies digital twins in product design and testing, in addition to its application in product maintenance, to lower assembly time and maintenance costs and improve the probability of errors. BMW uses digital twin technology to replicate, develop, and optimize the instantiation of cars with respect to their integrated performance and safety. They are also being adopted by governments, with the US putting money towards a semiconductor manufacturing digital twin and the United Kingdom creating a national digital twin center. A BMW- Dassault Systemes, LG Innotek, and NVIDIA combination is taking digital twins into other industries to make its industrial application more fatal to smartening factory floors and driving digital transformation.

"Transforming Manufacturing with IoT and Edge Computing Innovations"

IoT and edge computing are innovative solutions that are rapidly changing the landscape of the manufacturing by allowing producers always to track and analyze the status of the equipment and its usage as well as potential problems. Such real-time data collection is the basis of prognostics and preventative maintenance, vastly decreasing overall equipment downtime and lengthening the machines' durability. Based on research, using smart components as a solution can help companies decrease equipment failures by 70% and maintenance expenses by 25% while enhancing energy efficiency and all-around manufacturing effectiveness. For example, the Italian cement company Armal S.p.A., through IoT, managed to cut energy costs by 40 percent by tracking the energy spending of the machinery. For instance, Hershey realized cost savings of USD 0.5 million for every 1% decrease in candy size per 14,000-gallon batch through IoT sensors for production. These innovations are paving the way for smart and optimized manufacturing environments globally.

"North America is revolutionizing its manufacturing sector by embracing advanced technologies"

The manufacturing industry in North America is experiencing a special dynamic shift, predicting continued production dominance through the year 2030. The US, Canada, and Mexico are now focusing on manufacturing with innovative technologies and using sustainable resources to construct factories. Major improvements are noted in using various smart technologies such as artificial intelligence (AI) and digital twins. US Departments of Defense and Energy are funding AI projects that involve research into semiconductor material and improving the application of digital twins in manufacturing. On the other hand, Canada has been funding projects promoting new types of jobs - accelerating the industrial development of the manufacturing sector and promoting a more diverse population in the region's work market. These efforts are critical in building the strength of the region's manufacturing base and its sustainable and innovative future industry.

Research Coverage:

This report examines the future of manufacturing and considers what could happen in terms of advancing automation, smart factory capability, industrial hubs, and more sustainable manufacturing practices. Such an analysis would provide a forward-looking outlook for industry participants navigating the evolving landscape marked by technological innovation and environmental responsibility.

Report Scope

This report insightfully analyzes the transformation trends that will transform manufacturing beyond recognition. Major focus areas are integrating cognitive and immersive technologies, smart and sustainable factories, interconnected manufacturing hubs, innovative approaches toward operational efficiency, revenue diversification, improved production capabilities, and how manufacturing will support the circular economy. Such insights are invaluable for manufacturers, investors, technology providers, and policy-makers seeking to secure competitive advantage while keeping their strategies aligned with future developments in the industry.

1 EXECUTIVE SUMMARY

2 EVOLUTION OF MANUFACTURING

2.1 HISTORICAL CONTEXT: FROM INDUSTRY 1.0 TO 5.0
2.2 KEY DRIVERS SHAPING FUTURE OF MANUFACTURING

3 KEY TECHNOLOGIES AND TRENDS SHAPING FUTURE OF MANUFACTURING

3.1 DIGITAL FACTORY
- 3.1.1 AI IN MANUFACTURING
- 3.1.2 IOT AND EDGE COMPUTING
- 3.1.3 ADDITIVE MANUFACTURING
- 3.1.4 DIGITAL TWIN
- 3.1.5 CLOUD MANUFACTURING AND DECENTRALIZED MANUFACTURING
- 3.1.6 AR/VR
- 3.1.7 QUANTUM COMPUTING
- 3.1.8 BLOCKCHAIN
- 3.1.9 CONNECTIVITY (5G & 6G)
3.2 MICROFACTORIES
3.3 GIGAFACTORIES
3.4 COLLABORATIVE ROBOTS (COBOTS)

4 FUTURE OF MANUFACTURING: DEFINING CHARACTERISTICS

4.1 DATA-DRIVEN DECISION-MAKING
4.2 INTEROPERABILITY AND SYSTEM INTEGRATION
4.3 CYBERSECURITY AND RESILIENCE IN SMART FACTORIES
4.4 FOCUS ON SUSTAINABILITY

5 GLOBAL LANDSCAPE OF MANUFACTURING IN 2030

5.1 NORTH AMERICA
5.2 EUROPE
5.3 ASIA PACIFIC
- 5.3.1 INDIA
  - 5.3.1.1 Emerging Markets in India
    - 5.3.1.1.1 Semiconductor
    - 5.3.1.1.2 Gigafactories
    - 5.3.1.1.3 Defense and Aviation
    - 5.3.1.1.4 Data Centers
5.4 REST OF THE WORLD