Big Data Analytics for Industry 5.0

Abstract

The steam engine's power, the assembly line's efficiency, and the computer's processing speed: these disruptive new technologies were the driving forces behind the first three industrial revolutions. The fourth industrial revolution, also known as Industry 4.0, is propelled by intelligent technologies. Industry 5.0, the fifth industrial revolution, fosters collaboration between humans and robots, thereby enhancing Industry 4.0 technologies. It is anticipated that this will generate employment that is more valuable, thereby allowing individuals to engage in more creative and design-oriented activities. It is possible for factories to remain competitive and adjust to the changing requirements of their customers by implementing this change. With the implementation of suitable investments, Industry 5.0 has the potential to foster economic growth and establish a more sustainable, collaborative future for both humans and machines. Finance, healthcare, retail, and manufacturing are among the sectors that have already experienced this transformation. Industries 5.0 has been rendered feasible by technologies including blockchain, cloud computing, Big Data Analytics (BDA), Internet of Things (IoT), and 6G networks. The administration of substantial quantities of data is facilitated by BDA, in particular. To optimize the utilization of human resources and minimize waste and inefficiency, sophisticated big data management and analysis systems implement artificial intelligence and machine learning techniques. Furthermore, the enhanced customization, precision, and productivity of Industry 5.0, which is a component of the IoT, are ensured by the increased use of intelligent devices and sensors. This chapter outlines the current trends, design principles, and applications of Industry 5.0. This chapter outlines the fundamentals of Industry 5.0, its emergence, and the significance of BDA as a technology. Furthermore, this chapter outlines the architecture, design principles, and opportunities that are linked to Industry 5.0, including optimization of human efficiency, personalized services, enhanced automation, and higher-value employment. In this chapter, Industry 5.0 faces a variety of obstacles, such as a scarcity of qualified workers, a time-consuming process, a substantial budget requirement, and security and privacy concerns. Furthermore, this chapter provides a comprehensive analysis of the most recent developments in the field, the paradigm shift toward Industry 5.0, and a diverse array of prospective futures. This chapter outlines the primary challenges, interests, and problems of Industry 5.0 in relation to BDA. © 2025 by John Wiley & Sons Inc. All rights reserved.