Robots Are Taking Over Factories and Making Bank: The 25 Billion Dollar Manufacturing Tea
カートのアイテムが多すぎます
ご購入は五十タイトルがカートに入っている場合のみです。
カートに追加できませんでした。
しばらく経ってから再度お試しください。
ウィッシュリストに追加できませんでした。
しばらく経ってから再度お試しください。
ほしい物リストの削除に失敗しました。
しばらく経ってから再度お試しください。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
-
ナレーター:
-
著者:
概要
Industrial Robotics Weekly brings you the latest in manufacturing and AI updates. The self-reconfigurable robots market is projected to reach 3.96 billion dollars by 2030, growing at a compound annual growth rate of 20.5 percent, according to The Business Research Company, driven by Industry 4.0's push for smart manufacturing and flexible production lines. In automotive manufacturing, next-generation robotics is set to hit 24.87 billion dollars by 2030, with trends like collaborative human-robot workcells and vision-based quality inspections boosting efficiency, as reported by The Business Research Company.
PwC's Global Industrial Manufacturing Sector Outlook, released today, reveals that the share of manufacturers highly automating key processes will more than double to 50 percent by 2030, focusing on production and product design for growth and productivity gains. FANUC Corporation's recent embrace of the Robot Operating System 2 platform, in partnership with NVIDIA, unlocks physical AI for high-precision tasks, enhancing human-robot collaboration and safety through tactile sensors and vibration-damping materials, per Global Market Insights.
These advancements deliver clear productivity metrics: AI-powered robots cut cycle times and eliminate collisions via multi-modal sensor fusion, while Deloitte's 2026 outlook notes 80 percent of executives investing heavily in smart manufacturing for higher output and employee productivity. In warehouse automation, industrial and logistics robots will drive 60 to 65 percent of market growth through 2026, addressing worker shortages, as Novus Hi-Tech highlights.
Practical takeaways for listeners: Assess your ROI by piloting modular robotic cells for quick line changes, prioritize data literacy training for cross-functional teams, and integrate digital twins for predictive maintenance to optimize processes.
Looking ahead, agentic AI and IT/OT convergence promise autonomous systems reshaping factories, with humanoid robots tackling unstructured environments. Stay ahead by rethinking organizational structures for human-machine partnerships.
Thank you for tuning in to Industrial Robotics Weekly. Come back next week for more, and this has been a Quiet Please production. For me, check out Quiet Please Dot A I.
For more http://www.quietplease.ai
Get the best deals https://amzn.to/3ODvOta
This content was created in partnership and with the help of Artificial Intelligence AI
まだレビューはありません