市場調查報告書
商品編碼
1466315
數位化精實製造市場:按組件、解決方案、技術支援、應用分類 - 2024-2030 年全球預測Digital Lean Manufacturing Market by Component (Hardware, Services, Software), Solution (Change Management, Consistency in Process, Technology Enablement), Technology Enablement, Application - Global Forecast 2024-2030 |
※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。
預計2023年數位化精實製造市場規模將達9,906.5億美元,2024年將達1,1093.3億美元,2030年將達22,357.6億美元,複合年成長率為12.33%。
數位化精益製造可以最好地定義為精益製造原則和先進數位技術的整合。精益製造是一種透過消除浪費、提高品質和提高效率來最佳化製造流程和增強價值創造的創新方法。擴大採用精益製造來減少生產過剩,以及提高業務效率的需求不斷成長是市場的促進因素。此外,工業 4.0 技術在製造工廠中的快速整合以轉變精益製造流程也推動了市場的成長。實施數位技術的高昂初始成本、對熟練人員的需求以及將新系統整合到現有工作流程中的複雜性給採用數位精益原則帶來了挑戰。物聯網 (IoT)、人工智慧 (AI) 和巨量資料分析的發展進步為製造商提供了有效實施數位精益方法的先進工具。綠色製造實踐的出現預計將為市場帶來成長機會。
主要市場統計 | |
---|---|
基準年[2023] | 9906.5億美元 |
預測年份 [2024] | 1,109,330 百萬美元 |
預測年份 [2030] | 22,357.6 億美元 |
複合年成長率(%) | 12.33% |
擴大零件最終用戶對數位化精益製造服務的使用
數位精益製造硬體包括生產過程中使用的實體工具和設備。這包括機器、感測器、物聯網設備、機器人等。硬體對於自動化和執行精確的重複性任務至關重要。雖然涉及較大的資本支出,但對於製造的具體實施至關重要。數位精益製造服務包括諮詢、實施、培訓和支援。這些對於在整個組織中有效部署精實策略和數位解決方案是必要的。服務部門通常在訂閱或合約的基礎上運作,提供持續的協作和適應,以滿足不斷變化的製造需求。軟體構成了精益製造的數位化核心,可實現資料分析、製造過程模擬、即時監控和決策支援。這使得製造商能夠從其硬體和自動化流程產生的大量資料中獲得見解。與硬體不同,軟體通常具有擴充性和彈性的特性。它需要的初始投資比硬體少,但通常會產生經常性成本,例如許可證和訂閱。數位化精益製造的每個組成部分在製造車間都有獨特的用途。生產的物理方面需要硬體,軟體促進資料驅動的決策和過程控制,服務有效地管理精益實踐的整合和持續改進。
解決方案 更多採用技術實施解決方案以實現高業務效率
實施數位化精實製造需要強大的變革管理策略來平穩過渡並採用新流程和技術。有效的變革管理需要清晰的溝通、培訓和支持結構來解決員工的阻力。這個過程對於創造有利於變革的環境、培育持續改善的文化和實現卓越營運至關重要。流程一致性是精實製造的基本原則,但數位解決方案增加了跨營運一致性的可能性。組織可以透過實施標準化數位工作流程和利用即時資料分析來最大程度地減少變化並提高品管。技術支援是數位化精實製造的基石,提供支援減少浪費和最佳化價值流的工具和系統。物聯網、人工智慧和雲端運算等先進技術對於實現即時監控和決策至關重要。這裡的比較分析著重於技術投資的投資報酬率及其對業務效率的影響。
技術支援:3D 列印技術的大量普及
3D 列印(積層製造)透過實現快速原型製作和無浪費地創建複雜的客製化產品,徹底改變了生產流程。提供設計彈性,縮短新產品的上市時間,並符合精實製造原則。離散控制系統 (DCS) 是數位化精實製造的基礎,為機器和流程的自動化控制提供基本功能。這些系統有利於製造作業的高精度和客製化,從而實現高效的生產運作並適應各種生產場景。 ERP(企業資源計畫)系統整合了多個業務流程和業務,包括供應鏈、採購、銷售和財務。在數位化精實製造的背景下,ERP 解決方案透過支援資料主導的決策、改善跨部門協作和簡化流程來消除浪費並提高效率。人機介面 (HMI) 技術增強了操作員與製造設備之間的互動。它透過直覺地顯示資訊、更輕鬆地控制複雜操作並在監控系統性能和診斷問題方面發揮關鍵作用,幫助您實現精益製造目標。機器執行系統 (MES) 幫助管理工廠車間運作和更先進的業務系統。 MES 透過追蹤和記錄製造過程中原料的變化來支援精益製造,提供即時資料和分析以幫助最佳化生產並減少浪費。機器視覺系統對於數位精益製造的品質保證至關重要。這些系統能夠自動檢查和分析產品缺陷和偏差,從而減少錯誤,並根據精益製造原則,以最少的干涉確保高品質的輸出。工廠資產管理 (PAM) 工具對於維護和最佳化製造設備的性能至關重要。 PAM 透過最大限度地減少停機時間和延長資產壽命來促進精益原則,從而實現持續的生產力。產品生命週期管理 (PLM) 平台可協助您管理產品的端到端生命週期,從概念到設計、生產和生命週期結束。 PLM 透過促進協作、縮短上市時間並讓所有相關人員獲得一致的資料。可程式邏輯控制器 (PLC) 是工業自動化的主力,可為製造流程提供強大的控制。這些數位電腦專為在惡劣環境中即時使用而設計,透過提高操作可靠性和效率,在實現精益目標方面發揮關鍵作用。監控和資料採集 (SCADA) 系統用於進階製程監控管理。 SCADA 系統提供集中控制、即時資料收集和流程視覺化,透過最佳化流程控制、能源管理和資源利用來增強精益製造工作。
應用汽車和航太領域的需求不斷成長
航太和國防領域的數位化精實製造專注於最佳化生產、維護和供應鏈流程。利用虛擬實境 (VR) 和數位雙胞胎進行設計和測試,顯著減少對實體原型的需求。預測分析有助於預測設備故障和庫存需求,確保飛機和機隊的高度準備。在汽車和運輸行業,數位化精益製造利用自動化、物聯網 (IoT) 和人工智慧 (AI) 來簡化組裝和物流。從連網機器收集的即時資料可以即時調整生產,最大限度地減少浪費和停機時間。高科技電子產業採用數位化精實製造來滿足快速的產品生命週期和大量生產需求,同時確保品質和創新。用於需求預測的高級分析和模組化設計使製造商能夠快速響應市場變化。數位精益製造透過實施感測器和連接來監控機器健康狀況、預測故障並促進主動維護策略,正在改變工業機械產業。增強的資料分析支援營運效率和產品客製化,這對於該領域的客戶特定解決方案至關重要。數位化精益製造引入了智慧電網技術和先進控制,以最佳化公共事業和流程工業的能源使用和資源管理。由物聯網和人工智慧支援的公共事業基礎設施預測維護計劃可以幫助減少停電並延長關鍵資產的使用壽命。
區域洞察
美國因其大量製造設施和較早採用工業 4.0 技術而成為主要貢獻者。重點是在製造過程中採用物聯網、人工智慧和雲端運算。此外,該地區對永續製造實踐的興趣日益濃厚,進一步加速了數位精實系統的採用。在歐洲、中東和非洲地區,對數位化精益製造的需求受到嚴格的監管標準以及對品質和精度的關注的影響,特別是在德國和斯堪地那維亞製造領域。歐洲正在引進數位雙胞胎和即時資料分析等先進技術來最佳化生產線。儘管該領域仍處於發展階段,但中東地區憑藉其快速成長的製造業和智慧城市舉措展現出了未來性。亞太地區對數位化精實製造的需求成長最快,其中中國和印度因其龐大的製造地而成為主要驅動力。為了在全球市場上保持競爭力,追求提高生產力和降低生產成本是關鍵因素。
FPNV定位矩陣
FPNV 定位矩陣對於評估數位化精實製造市場至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對數位精實製造市場中供應商的現狀進行深入而深入的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴見解,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。這種詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1. 市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2. 市場開拓:我們深入研究利潤豐厚的新興市場,並分析其在成熟細分市場的滲透率。
3. 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4. 競爭評估和情報:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況和製造能力進行全面評估。
5. 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1. 數位化精實製造市場的市場規模與預測是多少?
2.在數位精益製造市場的預測期內,有哪些產品、細分市場、應用程式和領域需要考慮投資?
3. 數位化精實製造市場的技術趨勢和法規結構是什麼?
4.數位化精實製造市場主要廠商的市場佔有率是多少?
5.進入數位化精益製造市場的合適型態和策略手段是什麼?
[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 | |
---|---|
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?