## 1 Introduction  
This literature review presents an enriched extension of our previous work: \"Manufacturing-as-a-Service: A Systematic Review of the Literature\" [1]. By integrating 37 additional publications in our literature under investigation derived from the Scopus database and extracting more insights, the role of MaaS is examined from a more comprehensive perspective. Manufacturing-as-a-service [2] is a pioneering technique to the manufacturing sector that is redefining the conventional manufacturing landscape. Due to the advent of digital technologies [3, 4, 5, 6] and the integration of the Internet of Things [7], MaaS consists of a new framework which provides on-demand manufacturing services to enterprises and individuals [8]. In this mechanism, manufacturing processes, machinery, and expertise become accessible through a service-based platform [9, 10, 11], giving the opportunity to customers to access manufacturing resources, saving them heavy capital investments or extensive infrastructure [12, 13]. MaaS evolves customization [14, 15], rapid prototyping [16, 17, 18], and decentralized manufacturing [19], enabling companies to streamline their supply chains [20, 21, 22], speed up time to market, and meet the changing demands of the contemporary market [23, 24]. In addition, MaaS integrates sustainability in the traditional industrial landscape, by strengthening regional economies, instead of mass production and long-distance transportation [25]. Technological development puts the spotlight [26] on the efficiency of industries by embedding digitalization [27], automation, robotics, or cyber-physical systems [28] in their operation. Moreover, the utilization of edge and cloud computing [29; 30] increases the profitability of the manufacturing sector with the facility of cloud manufacturing platforms [31; 32]. Purchasing with online bidding, progress update, or optimized delivery [33] are only some of the advancements MaaS offers to improve customers' satisfaction. This research presents a bibliometric report and literature review on MaaS, utilizing mathematical and statistical tools to analyze scholarly publications [34]. It provides a starting point for understanding MaaS evolution and its current state. Section 2 outlines the data sources and methods, while Section 3 presents statistical insights, including annual trends, key institutions, top journals, citation distribution, and highly cited papers. Additionally, keyword and co-citation analyses are included. Section 4 categorizes selected publications into three areas: MaaS theoretical approach, architectures, and data innovations. Section 5 summarizes findings and suggests future directions, while Section 6 discusses current limitations and emerging trends in MaaS. This research serves as a comprehensive guide for both researchers and industry professionals, offering a structured overview of MaaS literature. By analyzing statistical data, keyword networks, and key findings from publications, it provides a clear, aggregated view of the existing research landscape, encouraging further exploration and innovation. Key focal points of this study include the following:  
* What are the primary technologies enabling MaaS?--Exploring cloud computing, IoT, blockchain, and AI in MaaS implementation. * What are the biggest challenges to MaaS adoption?--Addressing issues such as data security, interoperability, and regulatory constraints. * Which industries are leading in MaaS implementation?--Highlighting case studies from manufacturing, healthcare, and automotive sectors. * What are the emerging trends in MaaS?--Identifying advancements in automation, sustainability, and decentralized production models. * How can businesses maximize the benefits of MaaS?--Providing actionable insights into cost reduction, supply chain efficiency, and service optimization. A bibliometric analysis was chosen as the most suitable approach, using quantitative techniques to assess research patterns and impact.