7 New Industrial Technology Books Reshaping the Industry in 2025

When Eric Knapp dives into industrial network security, he brings decades of hands-on experience from roles at McAfee and Wurldtech, where he tackled real threats to critical infrastructure. His 3rd edition updates you on the latest cyber-attack methods like Trisis and Industroyer, while detailing protective measures tailored to SCADA and smart grid systems. You get a close look at OT cyber kill chains, risk management for cyber-physical systems, and practical guidance on network segmentation and threat detection. Whether you manage infrastructure security or research ICS vulnerabilities, this book lays out what’s necessary to defend vital systems today.

Michael Deng and Colin Koh challenge the conventional wisdom that AI in manufacturing is purely academic by delivering a grounded exploration of Industrial AI tailored for real-world plant environments. You’ll dive into specific techniques like using generative adversarial networks to enhance defect detection from small datasets, along with practical guidance on managing AI model development, deployment, and integration within manufacturing workflows. This book suits manufacturing executives, engineers, and operation managers eager to bridge the gap between cutting-edge AI research and tangible industrial applications, especially when infrastructure or data limitations exist. For example, the authors provide a framework for AI strategy adoption that emphasizes transparency and continuous innovation across complex manufacturing systems.

This tailored book explores step-by-step AI integration strategies specifically designed for industrial environments, focusing on your unique background and objectives. It examines the latest developments in AI applications for manufacturing, emphasizing practical adaptation to your facility's needs. By concentrating on your interests and aligning with recent 2025 discoveries, this personalized guide reveals how to effectively implement AI to enhance operational intelligence and automation. It also covers emerging research on industrial AI tools, ensuring you stay ahead of technological advances. This tailored approach enables you to deepen your understanding and apply AI innovations in ways that best suit your manufacturing context and goals.

Drawing from over two decades of hands-on manufacturing experience across North America, Dennis Kuzmenko offers a sharp analysis of how the 4th Industrial Revolution reshapes leadership in manufacturing. You’ll explore the interplay of historical revolutions with emerging technologies like AI, gaining concrete insights on integrating innovation into business strategies. The book challenges traditional leadership models by emphasizing adaptability and forward-thinking in a rapidly evolving industry. Chapters detailing AI's role in operational efficiency and decision-making provide practical context, making this a valuable read for executives and aspiring leaders aiming to navigate technological change effectively.

Marcio Venturelli draws on a decade of teaching automation engineering and industrial management to offer a clear-eyed view of Industry 4.0’s evolving landscape. You’ll explore how automation, industrial networks, and digital transformation intersect, gaining concrete insights into frontier technologies reshaping manufacturing. Chapters are organized around practical technical articles covering industrial automation, communication protocols, and the digital shifts defining modern industry. This book suits students and professionals aiming to understand cutting-edge industrial tech without fluff, offering a solid foundation for continued learning and project improvements in automation engineering.

After analyzing numerous industry cases and his own AI expertise, Dr. Markus Guerster developed a clear framework around the Industry 4.0 Flywheel that illustrates how AI-driven continuous innovation reshapes manufacturing. You’ll learn how AI and machine learning integrate into manufacturing workflows, driving efficiency and competitive advantage. The book breaks down complex AI concepts into accessible ideas without oversimplifying, making it suitable if you’re immersed in industrial operations or digital transformation roles. It’s especially useful for professionals seeking to understand the practical impact of AI on manufacturing processes and who want to anticipate future trends in Industry 4.0.

This tailored book explores advanced automation techniques tailored to your specific interests and background in industrial technology. It covers the latest developments in Industry 4.0 automation for 2025, examining emerging technologies and innovations shaping smart manufacturing. By focusing on your unique goals, this personalized guide reveals how new automation concepts integrate with current industrial systems, emphasizing practical understanding and forward-looking insights. You'll explore key elements from adaptive control to intelligent robotics, all matched to your experience level and learning objectives. This approach ensures that you gain relevant, up-to-date knowledge efficiently, diving deep where you want it most and keeping pace with rapid technological evolution.

Erik Oberg and his co-authors bring decades of mechanical engineering expertise to this 32nd edition, updating a century-old industrial classic with the latest manufacturing advances. You’ll find detailed insights on additive manufacturing including 3D printing techniques and materials, alongside refreshed standards for fasteners, machine elements, and CNC machining processes. The book’s expanded coverage of topics like calibrated measuring tools, polymer composites, and environmentally conscious material selection makes it an indispensable technical resource. Whether you’re an engineer, machinist, or industrial designer, this handbook equips you with precise, up-to-date data essential for modern manufacturing challenges.

What started as a detailed exploration of AI-driven recommendations became a clear framework for industrial recommender systems. The authors, experts in artificial intelligence and computer science, break down complex modules like content understanding, user profiling, recall, ranking, and re-ranking with precision. You’ll gain insight into challenges such as recommendation cold start and bias, alongside advanced topics like reinforcement learning and causal inference. This book suits professionals involved in computational advertising and search, as well as students and enthusiasts eager to understand how AI shapes technology interaction today.