製造業市場的未來：數位工廠、微型工廠、超級工廠、技術、設計和網路安全 - 按地區（預測至 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 | 訂單完成後即時交付

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協作機器人透過實現更靈活、高效和人性化的生產環境，正在改變製造業的面貌。

與工業機器人不同，協作機器人旨在與人類操作員一起安全工作，協助完成重複性或體力需求較高的任務。這種協作使員工能夠專注於推動創新的更複雜的任務，從而提高生產力。協作機器人易於編程和重新配置，使其成為高混合、小批量行業的理想選擇，透過允許較小的製造商開始使用協作機器人實現自動化，降低了自動化的障礙。協作機器人配備了更好的感測器，可以在發生事故時安全地停止或減速，從而形成更和諧的工作空間。人們相信，協作機器人融合了人類創造力和機器人精度，將使製造變得更加敏捷，並創造出更具彈性和響應能力的製造環境，以滿足不斷變化的世界的需求。

數位雙胞胎技術透過創新製造系統，專注於提高生產力和永續，在製造業轉型中發揮關鍵作用。 Altair Engineering 對製造公司進行的最新全球數位雙胞胎調查顯示，71% 的製造商正在利用數位雙胞胎技術的概念來了解其對業務轉型的影響。技術的廣泛使用可以提高供應鏈效率、縮短上市時間和提高質量，而不會浪費資源或承擔社會責任。例如，波音公司將數位雙胞胎應用到產品設計和測試以及產品維護中，以減少組裝時間、降低維護成本並提高出錯機率。 BMW利用數位雙胞胎技術來整體重現、開發和最佳化車輛性能和安全性。各國政府也正在擁抱數位孿生，美國投資了半導體製造的數位孿生，英國建立了國家數位孿生中心。 BMW、達梭系統、LG Innotek 和 NVIDIA 的聯合體正在將數位雙胞胎應用到其他產業，以推動更智慧的工廠車間和數位轉型。

物聯網和邊緣運算是創新的解決方案，使生產商能夠不斷追蹤和分析設備狀況、使用情況和潛在問題，從而迅速改變製造格局。這種即時資料收集是預後診斷和預防性維護的基礎，可顯著減少整體設備停機時間並延長機器的耐用性。研究表明，使用智慧組件作為解決方案可以減少 70% 的設備故障和 25% 的維護成本，同時提高能源效率和整體製造效率。例如，義大利水泥公司 Armal SpA 透過物聯網追蹤機器能源支出，能夠將能源成本降低 40%。例如，好時透過製造過程中的物聯網感測器，每 14,000 加侖批次的糖果尺寸每減少 1%，即可節省 50 萬美元的成本。這些創新為全球智慧和最佳化製造環境鋪平了道路。

本報告審視了全球製造業市場，總結了關鍵技術和趨勢、區域趨勢以及 2030 年及以後的前景。

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