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市场调查报告书
商品编码
1896738
面向未来工厂的行动解决方案市场—全球及区域分析(按最终用户产业、车辆类型、解决方案类型、部署模式和国家划分)—分析与预测(2025-2035 年)Factory-of-the-Future Mobility Solutions Market - A Global and Regional Analysis: Focus on End-Use Industry, Vehicle Type, Solution Type, Deployment Model, and Country Level Analysis - Analysis and Forecast, 2025-2035 |
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2024 年,未来工厂行动解决方案市场价值 81.348 亿美元,预计到 2035 年将达到 586.814 亿美元,年复合成长率为 19.94%。
未来工厂移动解决方案的市场格局正受到几个关键趋势的影响。自主化技术正快速发展,基于视觉的导航、语义地图绘製和人工智慧驱动的路径规划等技术,使设备能够在动态和非结构化环境中可靠运作。互通性也不断提升,VDA-5050 和 ISO 3691-4 等框架的推动,使得自主移动机器人 (AMR)、自动导引车 (AGV)、自动堆高机和协作机器人能够在统一的管理平台上无缝协作。数位双胞胎的应用缩短了试运行週期,使布局检验和性能优化能够在几天内完成,而不是几週。在商业方面,自动化即服务 (AaaS) 和按绩效付费的定价模式降低了进入门槛,并使投资与营运绩效更加匹配。
| 关键市场统计数据 | |
|---|---|
| 预测期 | 2025-2035 |
| 2025 年评估 | 95.278亿美元 |
| 2035 年预测 | 586.814亿美元 |
| 复合年增长率 | 19.94% |
从合规和安全角度来看,碰撞避免和接近检测系统的集成,以及对协同驾驶标准(例如 ISO/TS 15066)的更高合规性,正在加速监管审批并带来保险收益。从结构上看,劳动力短缺和产能稳定的需求正在推动自动化投资,其中电子商务、半导体和电动车 (EV) 製造业尤其重视这些投资。
向市场推出面向未来工厂的行动解决方案
BIS Research 的一项研究指出,面向未来工厂的行动解决方案是电气化、自动化、数位化製造和永续性等迫切需求所驱动的结构性重组。传统的汽车生产模式(线性、资产密集型、预测主导)日益无法满足现代市场对速度、客製化、韧性和低碳排放的需求。这种转变正在加速「未来工厂」(FoF)的出现,这是一种高度互联、智慧化且适应性强的製造模式,专为下一代行动解决方案而设计。此外,面向未来工厂的行动解决方案市场中的「移动即服务(MaaS)」使製造商能够从资产密集型、固定的自动化投资转向基于使用量、软体优化的行动解决方案。这使得物流车辆、自主系统和机器人能够根据需求进行扩展,从而提高资本效率、柔软性和价值实现速度。
市场介绍
未来出行解决方案市场的工厂体现了先进製造技术、数据驱动决策和人性化的设计理念的融合。它并非单一的工厂蓝图,而是一个模组化、可扩展的营运模式,将网实整合系统整合到整个价值链中,涵盖从设计工程到生产、物流和售后服务的各个环节。未来工厂并非可有可无的创新,而是因应市场波动的策略性倡议。电池供应限制、半导体短缺和区域化生产政策暴露了传统製造模式的脆弱性。未来工厂架构能够实现弹性、在地化和需求响应式生产,使出行公司能够快速调整动力传动系统、平台和市场。一个恰当的比喻是优化内容流。正如智慧数位内容会根据使用者意图和通路表现进行调整一样,支援未来工厂的工厂能够根据即时讯号动态调整产能、劳动力和资源,从而最大限度地提高相关性、效率和投资回报率。
对产业的影响
未来工厂行动解决方案市场正在对整个移动出行製造业产生可衡量的系统性影响。它不仅带来效率的逐步提升,更从根本上改变了移动出行产品在其整个生命週期内的设计、生产、规模化和维护方式。这种影响可以从五个相互关联的维度来衡量:生产力、柔软性、成本结构、永续性和生态系统韧性。
市场区隔:
第一类:依车辆类型
自动导引车(AGV)在未来工厂的移动解决方案市场中占据领先地位(按车辆类型划分)。
自动导引车 (AGV) 预计将在未来工厂的移动解决方案市场中占据主导地位,因为它们与现代移动製造的结构性现实高度契合。汽车和电动汽车工厂的运作涉及高度可预测、高频次的物料流、生产线供料、托盘转移、电池组移动以及素车,在这些环节中,可重复性、安全性和运作比导航自由度更为重要。 AGV 在这些确定性环境中表现出色,尤其是在搬运 1-2 吨以上的重物时,其引导路径能够降低碰撞风险并确保流程稳定性。产业基准表明,AGV 驱动的内部物流可以将物料搬运效率提高 20-30%,同时将内部物流人事费用降低高达 40%。如同一个精心调校的内容传送引擎,优先考虑一致性和可靠性而非实验性,AGV主导了智慧工厂的营运基础,提供稳定、扩充性且经济高效的物料流,从而支持下一代移动工厂的大批量生产、合规性和零缺陷製造目标。
细分 2:按解决方案类型
软体平台驱动「未来工厂」行动解决方案市场(按解决方案类型划分)
随着製造业价值从有形资产转向数位智慧转移,软体平台将主导未来工厂行动解决方案市场。在先进的行动工厂中,竞争优势并非来自单一机器,而是来自将製造执行系统 (MES)、行动营运管理 (MOM)、数位双胞胎、人工智慧分析和工业IoT整合并协调到一个统一决策平台的软体层。
细分3:依部署模式
未来工厂的行动解决方案市场(按部署模式划分)以本地部署许可证为主。
预计未来工厂行动解决方案市场将以本地部署方式为主导,这主要是由于产业对资料主权、延迟控制和营运弹性有着严格的要求。行动製造环境会产生高频、关键任务数据,涉及机器人协作、安全系统、品质检测和电池可追溯性等许多方面,这些都无法容忍对网路的依赖或网路中断。
细分 4:按地区
欧洲未来工厂移动解决方案市场目前正经历显着成长,德国处于这一发展的前沿。德国拥有雄厚的移动出行生产基础,其国内乘用车产量目标为2024年达到约410万辆,并拥有密集的供应商和组装厂网路。这些条件正在加速工厂数位化转型,以保障品质、速度和竞争力。在自动化方面,德国是全球工业机器人密度最高的国家之一(根据IFR标准,每万名员工约有429台机器人),并已做好准备,在移动工厂中推广人工智慧驱动的检测、机器人技术和连网营运。最后,德国在工业4.0领域的製度性领先地位,以及国家层级专注于智慧和数位化生产的倡议,正在创造政策和标准化方面的有利条件,使其成为欧洲采用未来工厂行动解决方案(FoF)最具结构优势的市场。
需求——驱动因素、限制因素和机会
市场需求因素:提高营运效率与品质
推动机器人技术应用的关键因素之一是追求更高的营运效率和更优的产品品质。自动化系统和机器人能够以超越人类能力的精度和一致性完成任务,从而提高生产效率并降低错误率。透过消除人为错误和变异性,企业可以显着提升品管。近期一项产业调查发现,40%的製造商正优先考虑采用机器人技术来提升产品品质。机器人可以全天候不间断地运作,且不会疲劳,并保持稳定的性能,在提高生产效率的同时,也能维持高标准的品质。效率提升和品质改善的双重优势为投资机器人技术提供了强有力的理由,因为它们能够简化操作流程,并减少缺陷和返工造成的浪费。
市场挑战:初始资本投入高,整合难度高
儘管机器人应用具有长远的益处,但同时也面临许多挑战,其中最主要的是高昂的初始资本投入和复杂的整合。工业机器人和自动化系统通常需要大量的前期投资,包括购买机器人、维修厂房和新建基础设施,这对中小企业而言尤其构成障碍。由于投资回报期不确定,证明投资收益系统以及彼此之间进行通讯。这通常涉及客製化工程、系统整合工作以及安装过程中可能出现的停机时间。与现有系统的复杂整合是一个常见的障碍,需要专业知识和周详的计划才能避免中断。引入机器人可能需要公司重新配置楼层布局、升级电源和网路基础设施以及改变工作流程——所有这些都增加了实施的难度。这些因素使得机器人应用流程充满挑战,因为企业必须在未来的效率提升与高昂的前期成本和技术复杂性之间取得平衡。
市场机会:机器人即服务 (RaaS) 和订阅模式
新兴的经营模式,例如机器人即服务 (RaaS),为未来工厂的行动解决方案市场提供了加速成长的巨大机会,降低了采用门槛。企业无需直接购买机器人(这需要大量的资本支出),而是可以付费使用制或租赁机器人解决方案,有效地将机器人转化为营运成本。与传统的设备购买方式相比,这种模式为企业采用自动化提供了一种经济高效的解决方案,前期成本显着降低,投资回报期也更短。
例如,製造商可以按月或按使用量付费(例如按小时或按拣货次数),租用一批仓库机器人,这通常比一次性投入数十万美元更经济实惠。机器人即服务 (RaaS) 供应商通常会负责安装、维护和软体更新,从而减轻最终用户的技术负担。这带来了两大机会:一方面,客户可以柔软性扩充性(从小小规模起步,根据需要增加自动化规模,或在非高峰期缩减规模);另一方面,机器人供应商拥有更大的潜在市场(包括传统上无力承担自动化成本的中小型企业)。这种订阅模式与科技领域向「X即服务」模式的更广泛转变相契合。随着 RaaS 的普及,它有望像IT基础设施基础设施的云端服务一样,透过减轻高资本支出 (CapEx) 的挑战,使更多人能够使用机器人技术。未来几年,更多解决方案供应商将提供订阅模式和租赁选项,使机器人技术更容易被采用,并进一步促进市场扩张。
产品与创新策略-面向未来工厂的移动出行解决方案市场正在重塑产品与创新策略,以应对许多挑战,例如管理大规模的复杂性、多种动力传动系统、更短的车辆生命週期、监管压力以及需求波动。因此,主要企业正从单一产品转向整合式、软体主导的解决方案组合,以期随着时间的推移创造复合价值。主流策略是开发模组化、可互通的平台,而非孤立的工具。原始设备製造商 (OEM) 和技术供应商正在投资于製造平台,这些平台将数位双胞胎、製造执行系统 (MES)、物流协调、人工智慧分析和品管系统整合到单一控制层下。
成长/行销策略-未来工厂行动解决方案市场的成长动力并非来自一次性交易,而是企业采用、平台扩展和长期价值获取。领先企业正奉行「先入为主,后逐步扩展」的策略,透过数位双胞胎、AGV编配和基于人工智慧的品质测试等高影响力用例进入客户组织,随后在工厂内进行横向部署,并在各个职能部门之间进行纵向部署。产业分析师认为,这种方法可以将客户终身价值 (CLV) 提高 30-50%,因为软体平台自然地带动了对相关模组和服务的需求。
竞争策略-在未来工厂的行动出行解决方案市场中,竞争优势越来越取决于编配能力,而非单一技术领先地位。随着行动旅游製造商面临日益复杂的挑战,例如多种动力传动系统、车型组合丰富、监管压力以及成本波动等问题,供应商和OEM合作伙伴之间的竞争焦点在于如何有效地整合软体、自动化、数据和生态系统,从而建立一个统一的营运模式。
调查方法
数据预测和建模因素
市场估计与预测
该研究利用了广泛的二级资讯来源,如权威出版物、着名作者的报导、白皮书、公司年报、名录和关键资料库,收集有用且有效的信息,对未来工厂移动解决方案市场进行全面、技术性、市场导向性和商业性的研究。
市场工程流程包括市场统计数据计算、市场规模估算、市场预测、市场分析和数据三角验证(这些定量数据处理的调查方法将在后文讨论)。我们已进行关键的一手调查,以收集和检验有关市场区隔类型和主要市场参与者产业趋势的市场资料。
主要市场参与企业及竞争摘要
未来工厂行动解决方案市场中介绍的公司是根据领先专家的意见以及对公司覆盖范围、产品系列和市场渗透率的分析而选定的。
未来工厂行动解决方案市场的一些主要企业包括:
《未来工厂行动解决方案市场报告》的各个章节(如适用)也对不属于上述群体的公司进行了详细介绍。
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Factory-of-the-Future Mobility Solutions Market Overview
The factory-of-the-future mobility solutions market was valued at $8,134.8 million in 2024 and is projected to grow at a CAGR of 19.94%, reaching $58,681.4 million by 2035. The factory-of-the-future mobility solutions market landscape is being shaped by several decisive trends. Autonomy capabilities are advancing rapidly, with vision-based navigation, semantic mapping, and AI-enabled path planning enabling equipment to operate reliably in dynamic, less-structured environments. Interoperability is improving, driven by frameworks such as VDA-5050 and ISO 3691-4, allowing seamless mixed-fleet orchestration of AMRs, AGVs, automated forklifts, and cobots under unified management platforms. Digital twin deployment is shortening commissioning cycles, enabling layout validation and performance optimization in days rather than weeks. Commercially, automation-as-a-service and output-linked pricing models are lowering adoption barriers and aligning investment with operational performance.
| KEY MARKET STATISTICS | |
|---|---|
| Forecast Period | 2025 - 2035 |
| 2025 Evaluation | $9,527.8 Million |
| 2035 Forecast | $58,681.4 Million |
| CAGR | 19.94% |
From a compliance and safety standpoint, integration of collision-avoidance systems, proximity detection, and adherence to collaborative operation standards (such as ISO/TS 15066) is accelerating regulatory clearance and even unlocking insurance benefits. Structurally, labor constraints and the need for throughput stability are reinforcing automation investment, with e-commerce, semiconductor, and EV manufacturing as priority verticals.
Introduction of Factory-of-the-Future Mobility Solutions Market
The study conducted by BIS Research highlights factory-of-the-future mobility solutions as a structural reset driven by electrification, automation, digital manufacturing, and sustainability mandates. Traditional automotive production models, linear, asset-heavy, and forecast-driven, are increasingly misaligned with a market that now demands speed, customization, resilience, and lower carbon intensity. This shift has accelerated the emergence of the Factory-of-the-Future (FoF), a highly connected, intelligent, and adaptive manufacturing paradigm purpose-built for next-generation mobility solutions. In addition, Mobility-as-a-Service (MaaS) in the factory-of-the-future mobility solutions market enables manufacturers to shift from asset-heavy, fixed automation investments to usage-based, software-orchestrated mobility solutions, allowing intralogistics fleets, autonomous systems, and robotics to scale on demand while improving capital efficiency, flexibility, and time-to-value.
Market Introduction
The factory-of-the-future mobility solutions market represents a convergence of advanced manufacturing technologies, data-driven decision-making, and human-centric design. It is not a single factory blueprint, but a modular, scalable operating model that integrates cyber-physical systems across the value chain from design and engineering to production, logistics, and after-sales support. The Factory-of-the-Future is not an optional innovation; it is a strategic response to market volatility. Battery supply constraints, semiconductor shortages, and regionalized production policies have exposed the fragility of legacy manufacturing models. FoF architectures enable resilient, localized, and demand-responsive production, allowing mobility players to pivot faster across powertrains, platforms, and markets. An effective analogy is content flow optimization; just as high-performing digital content adapts to user intent and channel performance, FoF-enabled factories dynamically rebalance capacity, labor, and resources based on real-time signals, maximizing relevance, efficiency, and return on investment.
Industrial Impact
The factory-of-the-future mobility solutions market has been producing measurable, systemic impact across the mobility manufacturing landscape. Its influence extends beyond incremental efficiency gains, fundamentally reshaping how mobility products are designed, produced, scaled, and sustained across their lifecycle. The industrial impact can be assessed across five interrelated dimensions, namely, productivity, flexibility, cost structure, sustainability, and ecosystem resilience.
Market Segmentation:
Segmentation 1: by Vehicle Type
Automated Guided Vehicles to Dominate the Factory-of-the-Future Mobility Solutions Market (by Vehicle Type)
Automated guided vehicles (AGVs) are positioned to dominate the factory-of-the-future mobility solutions market landscape due to their alignment with the structural realities of modern mobility manufacturing. Automotive and EV plants operate on highly predictable, high-frequency material flows, line feeding, pallet transfer, battery pack movement, and body-in-white logistics, where repeatability, safety, and uptime outweigh the need for navigation freedom. AGVs excel in these deterministic environments, particularly for heavy payloads exceeding 1-2 tons, where guided paths reduce collision risk and ensure process stability. Industry benchmarks indicate that AGV-led intralogistics can improve material-handling efficiency by 20-30% while reducing internal logistics labor costs by up to 40%. Much like a well-orchestrated content distribution engine that prioritizes consistency and reliability over experimentation, AGVs form the operational backbone of smart factories, providing stable, scalable, and cost-efficient material flow that supports high-volume production, regulatory compliance, and zero-defect manufacturing objectives in next-generation mobility plants.
Segmentation 2: by Solution Type
Software Platform to Dominate the Factory-of-the-Future Mobility Solutions Market (by Solution Type)
Software platforms are set to dominate the factory-of-the-future mobility solutions market as manufacturing value increasingly shifts from physical assets to digital intelligence. In advanced mobility plants, competitive advantage no longer comes from individual machines, but from the software layer that orchestrates them, integrating MES, MOM, digital twins, AI analytics, and industrial IoT into a single decision-making backbone.
Segmentation 3: by Deployment Model
On-Premises License to Dominate the Factory-of-the-Future Mobility Solutions Market (by Deployment Model)
On-premises licensing is expected to dominate the factory-of-the-future mobility solutions market by deployment method, primarily due to the sector's stringent requirements around data sovereignty, latency control, and operational resilience. Mobility manufacturing environments generate high-frequency, mission-critical data, robot coordination, safety systems, quality inspection, and battery traceability that cannot tolerate network dependency or downtime.
Segmentation 4: by Region
Currently, Europe is considerably growing in the factory-of-the-future mobility solutions market, with Germany at the forefront of this advancement. Germany also retains a deep mobility production base, with roughly 4.1 million passenger cars manufactured domestically in 2024 and a dense network of suppliers and assembly sites, conditions that accelerate the adoption of factory digitization to protect quality, speed, and competitiveness. On the automation side, Germany is among the global leaders in industrial robotics intensity (robot density around ~429 robots per 10,000 employees, per IFR), reinforcing its readiness to scale AI-enabled inspection, robotics, and connected operations across mobility plants. Finally, Germany's institutional leadership in Industrie 4.0, supported through national initiatives focused on smart, digital production, creates a policy and standards tailwind that makes Germany the most structurally advantaged market for FoF mobility deployment in Europe.
Demand - Drivers, Limitations, and Opportunities
Market Demand Drivers: Operational Efficiency and Quality Enhancement
One of the primary drivers for robotics adoption is the pursuit of higher operational efficiency and superior product quality. Automated systems and robots can work with precision and consistency beyond human capability, leading to increased throughput and reduced error rates. By eliminating human errors and variability, companies significantly improve quality control; a recent industry survey found that 40% of manufacturers now prioritize adopting robots specifically to enhance quality. Robots can operate 24/7 without fatigue, ensuring consistent performance that boosts productivity while maintaining high-quality standards. This dual benefit of greater efficiency and improved quality makes a compelling case for investment in robotics, as it streamlines operations and reduces waste from defects or rework.
Market Challenges: High Up-Front CapEx and Integration Complexity
Despite its long-term benefits, robotics adoption comes with significant challenges, foremost among them the high initial capital expenditure and the complexity of integration. Industrial robots and automation systems often require a large up-front investment, which is needed for purchasing the robots, retrofitting facilities, and deploying new infrastructure, which can be a barrier, especially for small and mid-sized firms. Justifying the ROI can be difficult when the payback period is uncertain, and many companies find it challenging to justify the cost of robot installation at the outset. In addition, integrating robotics into existing operations is a complex task. Factories and warehouses must ensure new robots can communicate with legacy equipment, enterprise software, and each other. This often involves custom engineering, system integration work, and potential downtime during installation. The complexity of integration with existing systems is a common hurdle, requiring specialized expertise and careful planning to avoid disruptions. Companies may need to reconfigure floor layouts, upgrade power supplies or network infrastructure, and modify workflows to accommodate robots, all of which add to the implementation challenge. These factors make the adoption process daunting, as organizations must weigh the substantial initial costs and technical complexity against the future efficiency gains.
Market Opportunities: Robotics-as-a-Service and Subscription Models
Emerging business models like robotics-as-a-service (RaaS) present a promising opportunity to accelerate the factory-of-future mobility solutions market growth by lowering adoption barriers. Instead of purchasing robots outright (with large capital expenditure), companies can subscribe to robotic solutions on a pay-as-you-go or lease basis, effectively turning robotics into an operational expense. This model offers a cost-effective solution for companies to implement automation, with much lower upfront costs and faster ROI compared to the traditional approach of buying equipment.
For example, a manufacturer might pay a monthly fee or a usage-based rate (e.g., per hour or per pick) for a fleet of warehouse robots, which is often more budget-friendly than spending hundreds of thousands of dollars at once. RaaS providers typically handle installation, maintenance, and software updates as part of the service, reducing the technical burden on end users. The opportunity here is twofold: for customers, RaaS provides flexibility and scalability (they can start small and scale up automation as needed, or scale down during off-peak seasons), and for robotics vendors, it opens up a larger addressable market (including small and mid-sized businesses that previously couldn't afford automation). This subscription-based trend aligns with the broader shift toward X-as-a-Service models in technology. As awareness grows, RaaS is expected to democratize access to robotics by mitigating the high CapEx challenge, much like cloud computing services did for IT infrastructure. In the coming years, more solution providers are likely to offer subscription models or leasing options, making robotics adoption more accessible and driving further market expansion.
How can this report add value to an organization?
Product/Innovation Strategy: In the factory-of-the-future mobility solutions market, product and innovation strategies are increasingly shaped by the need to manage complexity at scale, multiple powertrains, shorter vehicle lifecycles, regulatory pressure, and volatile demand. As a result, leading companies are pivoting from standalone products toward integrated, software-led solution portfolios that deliver compounding value over time. The dominant strategy is the development of modular, interoperable platforms rather than isolated tools. OEMs and technology providers are investing in manufacturing platforms that unify digital twins, manufacturing execution, intralogistics orchestration, AI analytics, and quality systems under a single control layer.
Growth/Marketing Strategy: Growth in the factory-of-the-future mobility solutions market is being driven by enterprise adoption, platform expansion, and long-term value capture rather than transactional sales. Leading players are pursuing a land-and-expand strategy, entering customer organizations through a high-impact use case such as digital twins, AGV orchestration, or AI-based quality inspection, and then scaling horizontally across plants and vertically across functions. Industry analysis shows that this approach can increase customer lifetime value by 30-50%, as software platforms naturally pull demand for adjacent modules and services.
Competitive Strategy: Competitive advantage in the factory-of-the-future mobility solutions market is increasingly defined by orchestration capability rather than individual technology leadership. As mobility manufacturers manage growing complexity, multiple powertrains, high model mix, regulatory pressure, and cost volatility, vendors and OEM partners compete on how effectively they integrate software, automation, data, and ecosystems into a coherent operating model.
Research Methodology
Factors for Data Prediction and Modelling
Market Estimation and Forecast
This research study involves the usage of extensive secondary sources, such as certified publications, articles from recognized authors, white papers, annual reports of companies, directories, and major databases, to collect useful and effective information for an extensive, technical, market-oriented, and commercial study of the factory-of-the-future mobility solutions market.
The market engineering process involves the calculation of the market statistics, market size estimation, market forecast, market crackdown, and data triangulation (the methodology for such quantitative data processes has been explained in further sections). The primary research study has been undertaken to gather information and validate the market numbers for segmentation types and industry trends of the key players in the market.
Primary Research
The primary sources involve industry experts from the factory-of-the-future mobility solutions market and various stakeholders in the ecosystem. Respondents such as CEOs, vice presidents, marketing directors, and technology and innovation directors have been interviewed to obtain and verify both qualitative and quantitative aspects of this research study.
The key data points taken from primary sources include:
Secondary Research
This research study involves the usage of extensive secondary research, directories, company websites, and annual reports. It also makes use of databases, such as Hoovers, Bloomberg, Businessweek, and Factiva, to collect useful and effective information for an extensive, technical, market-oriented, and commercial study of the global market. In addition to the data sources, the study has been undertaken with the help of other data sources and websites, such as the International Federation of Robotics and the International Energy Agency (IEA).
Secondary research has been done to obtain crucial information about the industry's value chain, revenue models, the market's monetary chain, the total pool of key players, and the current and potential use cases and applications.
The key data points taken from secondary research include:
Key Market Players and Competition Synopsis
The companies that are profiled in the factory-of-the-future mobility solutions market have been selected based on inputs gathered from primary experts and by analyzing company coverage, product portfolio, and market penetration.
Some of the prominent names in the factory-of-the-future mobility solutions market are:
Companies that are not a part of the aforementioned pool have been well represented across different sections of the factory-of-the-future mobility solutions market report (wherever applicable).
Scope and Definition