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数位化精实製造市场:按组件、解决方案、技术支援、应用划分 - 2024-2030 年全球预测Digital Lean Manufacturing Market by Component (Hardware, Services, Software), Solution (Change Management, Consistency in Process, Technology Enablement), Technology Enablement, Application - Global Forecast 2024-2030 |
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预计2023年数位化精实製造市场规模将达9,906.5亿美元,2024年将达1,1093.3亿美元,2030年将达22,357.6亿美元,复合年增长率为12.33%。
数位化精益製造可以最好地定义为精益製造原则和先进数位技术的整合。精益製造是一种透过消除浪费、提高品质和提高效率来优化製造流程和增强价值创造的创新方法。越来越多地采用精益製造来减少生产过剩,以及提高业务效率的需求不断增长是市场的驱动因素。此外,工业 4.0 技术在製造工厂中的快速整合以转变精益製造流程也推动了市场的成长。实施数位技术的高昂初始成本、对熟练人员的需求以及将新系统整合到现有工作流程中的复杂性给采用数位精益原则带来了挑战。物联网 (IoT)、人工智慧 (AI) 和巨量资料分析的发展进步为製造商提供了有效实施数位精益方法的先进工具。绿色製造实践的出现预计将为市场带来成长机会。
主要市场统计 | |
---|---|
基准年[2023] | 9906.5亿美元 |
预测年份 [2024] | 1,109,330 百万美元 |
预测年份 [2030] | 22,357.6 亿美元 |
复合年增长率(%) | 12.33% |
扩大零件最终用户对数位化精益製造服务的使用
数位精益製造硬体包括生产过程中使用的实体工具和设备。这包括机器、感测器、物联网设备、机器人等。硬体对于自动化和执行精确的重复性任务至关重要。虽然涉及较大的资本支出,但对于製造的具体实施至关重要。数位精益製造服务包括咨询、实施、培训和支援。这些对于在整个组织中有效部署精实策略和数位解决方案是必要的。服务部门通常在订阅或合约的基础上运作,提供持续的协作和适应,以满足不断变化的製造需求。软体构成了精益製造的数位化核心,可实现资料分析、製造过程模拟、即时监控和决策支援。这使得製造商能够从其硬体和自动化流程产生的大量资料中获得见解。与硬体不同,软体通常具有扩充性和弹性的特性。它需要的初始投资比硬体少,但通常会产生经常性成本,例如许可证和订阅。数位化精益製造的每个组成部分在製造车间都有独特的用途。生产的物理方面需要硬件,软体促进资料驱动的决策和过程控制,服务有效地管理精益实践的整合和持续改进。
解决方案 更多采用技术实施解决方案以实现高业务效率
实施数位化精实製造需要强大的变革管理策略来平稳过渡并采用新流程和技术。有效的变革管理需要清晰的沟通、培训和支持结构来解决员工的阻力。这个过程对于创造有利于变革的环境、培育持续改善的文化和实现卓越营运至关重要。流程一致性是精实製造的基本原则,但数位解决方案增加了跨营运一致性的可能性。组织可以透过实施标准化数位工作流程和利用即时资料分析来最大程度地减少变化并提高品管。技术支援是数位化精实製造的基石,提供支援减少浪费和优化价值流的工具和系统。物联网、人工智慧和云端运算等先进技术对于实现即时监控和决策至关重要。这里的比较分析着重于技术投资的投资报酬率及其对业务效率的影响。
技术支援:3D 列印技术的大量普及
3D 列印(积层製造)透过实现快速原型製作和无浪费地创建复杂的客製化产品,彻底改变了生产流程。提供设计弹性,缩短新产品的上市时间,并符合精实製造原则。离散控制系统 (DCS) 是数位化精实製造的基础,为机器和流程的自动化控制提供基本功能。这些系统有利于製造作业的高精度和客製化,从而实现高效的生产运作并适应各种生产场景。 ERP(企业资源计画)系统整合了多个业务流程和业务,包括供应链、采购、销售和财务。在数位化精实製造的背景下,ERP 解决方案透过支援资料主导的决策、改善跨部门协作和简化流程来消除浪费并提高效率。人机介面 (HMI) 技术增强了操作员与製造设备之间的互动。它透过直观地显示资讯、更轻鬆地控制复杂操作并在监控系统性能和诊断问题方面发挥关键作用,帮助您实现精益製造目标。机器执行系统 (MES) 帮助管理工厂车间运作和更先进的业务系统。 MES 透过追踪和记录製造过程中原材料的变化来支援精益製造,提供即时资料和分析以帮助优化生产并减少浪费。机器视觉系统对于数位精益製造的品质保证至关重要。这些系统能够自动检查和分析产品缺陷和偏差,从而减少错误,并根据精益製造原则,以最少的干预确保高品质的输出。工厂资产管理 (PAM) 工具对于维护和优化製造设备的性能至关重要。 PAM 透过最大限度地减少停机时间和延长资产寿命来促进精益原则,从而实现持续的生产力。产品生命週期管理 (PLM) 平台可协助您管理产品的端到端生命週期,从概念到设计、生产和生命週期结束。 PLM 透过促进协作、缩短上市时间并让所有相关人员获得一致的资料。可程式逻辑控制器 (PLC) 是工业自动化的主力,可为製造流程提供强大的控制。这些数位计算机专为在恶劣环境中即时使用而设计,透过提高操作可靠性和效率,在实现精益目标方面发挥关键作用。监控和资料采集 (SCADA) 系统用于进阶製程监控管理。 SCADA 系统提供集中控制、即时资料收集和流程视觉化,透过优化流程控制、能源管理和资源利用来增强精益製造工作。
应用汽车和航太领域的需求不断增长
航太和国防领域的数位化精实製造专注于优化生产、维护和供应链流程。利用虚拟实境 (VR) 和数数位双胞胎进行设计和测试,显着减少对实体原型的需求。预测分析有助于预测设备故障和库存需求,确保飞机和机队的高度准备。在汽车和运输行业,数位化精益製造利用自动化、物联网 (IoT) 和人工智慧 (AI) 来简化组装和物流。从连网机器收集的即时资料可以即时调整生产,最大限度地减少浪费和停机时间。高科技电子产业采用数位化精实製造来满足快速的产品生命週期和大量生产需求,同时确保品质和创新。用于需求预测的高级分析和模组化设计使製造商能够快速响应市场变化。数位精益製造透过实施感测器和连接来监控机器健康状况、预测故障并促进主动维护策略,正在改变工业机械产业。增强的资料分析支援营运效率和产品定制,这对于该领域的客户特定解决方案至关重要。数位化精益製造引入了智慧电网技术和先进控制,以优化公共事业和流程工业的能源使用和资源管理。由物联网和人工智慧支援的公共事业基础设施预测维护计划可以帮助减少停电并延长关键资产的使用寿命。
区域洞察
美国因其大量製造设施和较早采用工业 4.0 技术而成为主要贡献者。重点是在製造过程中采用物联网、人工智慧和云端运算。此外,该地区对永续製造实践的兴趣日益浓厚,进一步加速了数位精实系统的采用。在欧洲、中东和非洲地区,对数位化精益製造的需求受到严格的监管标准以及对品质和精度的关注的影响,特别是在德国和斯堪地那维亚製造领域。欧洲正在引进数位双胞胎和即时资料分析等先进技术来优化生产线。儘管该领域仍处于发展阶段,但中东地区凭藉其快速成长的製造业和智慧城市倡议展现出了未来性。亚太地区对数位化精实製造的需求成长最快,其中中国和印度因其庞大的製造地而成为主要驱动力。为了在全球市场上保持竞争力,追求提高生产力和降低生产成本是关键因素。
FPNV定位矩阵
FPNV 定位矩阵对于评估数位化精实製造市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对数位精实製造市场中供应商的现状进行深入而深入的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。这种详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4. 竞争评估和情报:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况和製造能力进行全面评估。
5. 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1. 数位化精实製造市场的市场规模与预测是多少?
2.在数位精益製造市场的预测期内,有哪些产品、细分市场、应用程式和领域需要考虑投资?
3. 数位化精实製造市场的技术趋势和法规结构是什么?
4.数位化精实製造市场主要厂商的市场占有率是多少?
5.进入数位化精益製造市场的合适型态和策略手段是什么?
[182 Pages Report] The Digital Lean Manufacturing Market size was estimated at USD 990.65 billion in 2023 and expected to reach USD 1,109.33 billion in 2024, at a CAGR 12.33% to reach USD 2,235.76 billion by 2030.
Digital lean manufacturing can be aptly defined as the confluence of lean production principles and advanced digital technologies. It is an innovative approach to optimizing manufacturing processes and enhancing value creation by reducing wastage, improving quality, and increasing efficiency. The rising implementation of lean manufacturing to reduce overproduction and the increasing need for greater operational efficiency are the driving factors in the market. Moreover, the rapid integration of Industry 4.0 technologies in manufacturing plants to transform lean processes also fuels market growth. High initial costs of deploying digital technologies, the need for skilled personnel, and the complexity associated with integrating new systems into existing workflows offer challenges in adopting digital lean principles. The ongoing development of IoT (Internet of Things), AI (Artificial Intelligence), and big data analytics provides manufacturers with advanced tools to effectively implement a digital lean methodology. The emergence of green manufacturing practices is expected to create growth opportunities in the market.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 990.65 billion |
Estimated Year [2024] | USD 1,109.33 billion |
Forecast Year [2030] | USD 2,235.76 billion |
CAGR (%) | 12.33% |
Component: Increasing utilization of digital lean manufacturing services by end-users
Hardware in digital lean manufacturing encompasses the physical tools and equipment that are used in the production process. This includes machinery, sensors, IoT devices, and robotics. Hardware is critical for automation and the execution of precise and repetitive tasks. Comparatively, it represents a significant capital expenditure but is essential for the tangible execution of manufacturing. Services in digital lean manufacturing include consultation, implementation, training, and support. These are necessary for effectively deploying lean strategies and digital solutions throughout an organization. The services sector often operates on a subscription or contract basis, offering ongoing collaboration and adaptation to meet evolving manufacturing needs. Software forms the digital core of lean manufacturing, enabling data analysis, process simulation, real-time monitoring, and decision support. It allows manufacturers to gain insights from the vast data generated by hardware and automate processes. Unlike hardware, software is typically characterized by its scalability and flexibility. It requires a lower upfront investment than hardware but normally includes recurring costs like licenses or subscriptions. Each component of Digital Lean Manufacturing serves a unique purpose within the manufacturing landscape. Hardware is necessary for the physical aspects of production; software facilitates data-driven decision-making and process control, while services ensure that the integration and continuous improvement of lean practices are effectively managed.
Solution: Growing adoption of technology enablement solutions to achieve high operational efficiency
Embracing digital lean manufacturing requires robust change management strategies to ensure a smooth transition and acceptance of new processes and technologies. Effective change management involves clear communication, training, and support systems to address employee resistance. This process is vital in creating an environment conducive to change, fostering a culture of continuous improvement, and achieving operational excellence. Consistency in the process is a fundamental principle of lean manufacturing, yet digital solutions elevate the potential for uniformity across operations. Organizations can minimize variations and improve quality control by implementing standardized digital workflows and leveraging real-time data analytics. Technology enablement is the linchpin of digital lean manufacturing, providing the tools and systems that support waste reduction and value stream optimization. Advanced technologies such as IoT, AI, and cloud computing are crucial in enabling real-time monitoring and decision-making. The comparative analysis here focuses on the ROI of technology investments and their impact on operational efficiency.
Technology Enablement: Significant penetration of 3D printing technology
3D Printing, or additive manufacturing, revolutionizes production processes by allowing for rapid prototyping and creating complex and customized products with less waste. It provides flexibility in design and reduces the time to market for new products, aligning with lean manufacturing principles. Discrete Control Systems (DCS) are fundamental in digital lean manufacturing, providing essential functions for the automated control of machinery and processes. These systems facilitate high precision and customization in manufacturing operations, allowing for efficient production runs and adaptability to various production scenarios. Enterprise Resource Planning (ERP) systems integrate multiple business processes and operations, including supply chain, procurement, sales, and finance. In the digital lean manufacturing context, ERP solutions enable data-driven decision-making, improve cross-departmental collaboration, and streamline processes, reducing waste and increasing efficiency. Human Machine Interface (HMI) technology enhances interactions between human operators and manufacturing equipment. It presents information intuitively, facilitates the control of complex operations, and plays a vital role in monitoring system performance and diagnosing issues, thus contributing to lean manufacturing goals. Machine Execution Systems (MES) assist in conducting plant floor operations and managing higher-level business systems. They track and document the transformation of raw materials through the manufacturing process, supporting lean practices by providing real-time data and analytics that aid in optimizing production and reducing waste. Machine Vision systems are crucial to quality assurance in digital lean manufacturing. These systems enable automated inspection and analysis for product defects or deviations, resulting in reduced errors and ensuring high-quality outputs with minimal intervention, aligning with lean manufacturing principles. Plant Asset Management (PAM) tools are essential for maintaining and optimizing manufacturing equipment performance. PAM contributes to lean principles by minimizing downtime and prolonging asset life, leading to sustained productivity. Product Lifecycle Management (PLM) platforms help manage the end-to-end lifecycle of a product from conception to design, production, and end-of-life. PLM facilitates collaboration, reduces time to market, and ensures all stakeholders access consistent data, enabling lean methodologies by fostering continuous improvement and eliminating redundancies. Programmable Logic Controllers (PLCs) are the workhorses of industrial automation, providing robust control over manufacturing processes. These digital computers are designed for real-time use in harsh environments, and they play a crucial role in achieving lean objectives by enhancing reliability and efficiency in operations. Supervisory Control and Data Acquisition (SCADA) systems are utilized for high-level process supervisory management. They offer centralized control, real-time data acquisition, and process visualization, which empower lean manufacturing efforts by optimizing process control, energy management, and resource utilization.
Application: Proliferating demand from automotive & aerospace sector
Digital lean manufacturing in the aerospace & defense sector focuses on optimizing production, maintenance, and supply chain processes. Virtual Reality (VR) and digital twins are leveraged for designing and testing, significantly reducing the need for physical prototypes. Predictive analytics helps forecast equipment malfunctions and inventory needs, ensuring high aircraft and fleet readiness levels. In the Automotive & transportation industry, digital lean manufacturing capitalizes on automation, IoT (Internet of Things), and AI (Artificial Intelligence) to streamline assembly lines and logistics. Real-time data collected from connected machinery allows for immediate adjustments in production, minimizing waste and downtime. The Hi-tech Electronics sector employs digital lean manufacturing to adapt to rapid product life cycles and high-volume needs while assuring quality and innovation. Advanced analytics for demand forecasting and modular design enable manufacturers to respond quickly to market shifts. Digital lean manufacturing transforms the Industrial Machinery industry by implementing sensors and connectivity to monitor machine health, predict failures, and facilitate proactive maintenance strategies. Enhanced data analytics support operational efficiency and product customization, which is critical for this sector's customer-specific solutions. Digital lean manufacturing introduces smart grid technologies and advanced controls to optimize energy usage and resource management for the utilities and processes industry. Predictive maintenance programs for utility infrastructure, enabled by IoT and AI, help reduce outages and extend the lifespan of critical assets.
Regional Insights
The United States is a significant contributor, owing to the presence of many manufacturing facilities and early adoption of Industry 4.0 technologies. There is a strong emphasis on adopting IoT, AI, and cloud computing in manufacturing processes. Additionally, the region shows a growing concern for sustainable manufacturing practices, further accelerating the deployment of digital lean systems. In EMEA, the demand for digital lean manufacturing is influenced by stringent regulatory standards and a focus on quality and precision, especially in German and Scandinavian manufacturing sectors. Europe leads in adopting advanced technologies, such as digital twins and real-time data analytics, to optimize production lines. While still developing in this field, the Middle East shows promise with its burgeoning manufacturing sectors and smart city initiatives. The APAC region witnesses the fastest growth in digital lean manufacturing demand, with China and India being the primary drivers due to their massive manufacturing bases. Pursuing higher productivity and lower production costs to stay competitive in global markets is a significant factor.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Digital Lean Manufacturing Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Digital Lean Manufacturing Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Digital Lean Manufacturing Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., Amphenol Corporation, Autodesk, Inc., Caterpillar Inc., Dassault Systemes S.E., Deere & Company, Emerson Electric Co., Ford Motor Company, General Electric Company, Hitachi, Ltd., Honeywell International Inc., Infowise Solutions Ltd., InSource Solutions, Leansuite.com Corp., Mevisio AB, Omron Corporation, Oracle Corporation, Parker-Hannifin Corporation, Robert Bosch GmbH, Rockwell Automation Inc., SAP SE, Schneider Electric SE, Siemens AG, SMART LEAN SOLUTIONS S.L., Snowflake Inc., Stratasys Ltd., Textron Inc., Toyota Industries Corporation, Tulip Interfaces, Inc., and WITTI Technology Limited.
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Digital Lean Manufacturing Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Digital Lean Manufacturing Market?
3. What are the technology trends and regulatory frameworks in the Digital Lean Manufacturing Market?
4. What is the market share of the leading vendors in the Digital Lean Manufacturing Market?
5. Which modes and strategic moves are suitable for entering the Digital Lean Manufacturing Market?