市場調查報告書
商品編碼
1466239
智慧工廠市場:按技術、組件和行業分類 - 2024-2030 年全球預測Smart Factory Market by Technology (Distributed Control System, Enterprise Resource Planning, Human-Machine Interface), Component (Industrial 3D Printing, Industrial Robots, Machine Vision), Industry - Global Forecast 2024-2030 |
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預計2023年智慧工廠市場規模為1,306.3億美元,預計2024年將達1,522億美元,2030年將達到4,001.3億美元,複合年成長率為17.34%。
智慧工廠融合了現代技術進步,代表了傳統製造和生產環境的演變。我們利用物聯網、人工智慧 (AI)、資料分析和機器人技術來創建高度數位化、連接生產設施、自我最佳化和通訊的先進生產系統。智慧工廠的核心目的是顯著提高製造業務的效率、生產力和彈性,同時減少浪費和營運成本。世界各國政府對工業自動化的支持以及工業數位轉型和工業 4.0 措施的快速轉變正在推動智慧工廠的成長。對提高生產力和效率的需求不斷成長,推動了企業採用智慧工廠解決方案,而人工智慧/機器學習和物聯網的持續技術進步正在為智慧工廠領域的創新創造空間。然而,將新系統與舊設備整合非常複雜,並且可能會阻礙市場成長。此外,連接性的增強增加了遭受網路攻擊的脆弱性,而隱私和潛在的資料外洩阻礙了智慧工廠的普及。然而,主要企業正在探索區塊鏈技術與新加密演算法的融合,以提高智慧工廠的安全和隱私功能。工廠中的智慧型能源系統可以帶來永續的實踐,而用於模擬和最佳化工廠營運的實體過程的虛擬表示可以為智慧工廠提供新的成長途徑。
主要市場統計 | |
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基準年[2023] | 1306.3億美元 |
預測年份 [2024] | 1522億美元 |
預測年份 [2030] | 4001.3億美元 |
複合年成長率(%) | 17.34% |
技術:分散式控制系統提供效率和可靠性的能力
分散式控制系統 (DCS) 是一種自動化控制系統,它將控制功能分散到多個分散式元件,而不是從單一位置管理它們。在智慧工廠中,DCS優先用於需要精確控制多條生產線的複雜多步驟製造。企業資源規劃 (ERP) 系統整合了營運的所有部分,包括產品開拓、規劃、製造流程以及銷售和行銷。智慧工廠採用 ERP 透過簡化整個組織的流程和資訊來提高業務效率。人機介面是連接人與機器、系統或設備的儀表板。在智慧工廠中,HMI 對於操作員與自動化系統互動和監控機器診斷非常重要。製造執行系統 (MES) 管理和監控工廠車間的在製品。在需要對製造過程進行詳細追蹤和控制以確保品質和效率的環境中,MES 是首選。工廠資產管理系統有助於監控和管理製造工廠的資產。這些系統是智慧工廠的首選,其中預測性維護和資產最佳化可減少停機時間並提高可靠性。產品生命週期管理 (PLM) 有助於管理產品的生命週期,從工程設計和製造階段到服務和處置。可程式邏輯控制器(PLC)是一種適用於控制製造過程的工業數位電腦。監控和資料採集 (SCADA) 系統對於尋求本地或遠端控制工業流程的工業組織至關重要。在智慧工廠中,SCADA適用於高階流程管理、即時資料收集以及大量互連流程的控制。
工業:利用智慧工廠概念在離散製造業中進行產品的大規模生產或客製化
離散製造業包括生產可分項的不同產品的製造商。航太和國防工業的特點是產品開發週期長、監管要求嚴格以及需要先進的製造技術來支援複雜的產品和系統。在汽車產業,智慧工廠概念增強了傳統生產線,最佳化了生產流程並提高了產品品質。汽車製造商正在轉向靈活的製造系統,以快速響應不斷變化的消費者需求,例如向電動車 (EV) 的轉變。機器製造是離散製造業的重要部門,涵蓋從簡單工具到複雜機器的廣泛產品。該領域智慧工廠的實施專注於可自訂性和快速生產調整。醫療設備產業需要高精度,遵守嚴格的品質和監管標準至關重要。智慧工廠使該領域能夠增強從原料到成品的可追溯性,並確保符合醫療法規。半導體和電子設備製造業需要嚴格的精度,製造環境通常需要無塵室。流程工業是指初級生產過程透過化學、物理或生物方式將材料轉化為新產品的製造活動。化學行業包括工業化學品的生產以及將原料轉化為具有各種特性的產品的過程。該行業對於塑膠、農藥、藥品、清潔劑、油漆等的生產至關重要。能源和電力領域的智慧工廠融合了再生能源來源、先進的電池儲存系統和智慧電網管理解決方案。在食品和飲料領域,智慧工廠措施正在最佳化供應鏈、提高食品安全和品質以及提高生產彈性。金屬和採礦部門正在探索智慧工廠技術,以提高提取和加工效率,同時解決永續性問題。在石油和天然氣領域,先進的感測器技術有助於監控管道完整性、偵測洩漏並預測維護需求。製藥業正在採用智慧技術來推動創新、保持合規性並簡化製造。
區域洞察
美洲地區,尤其是美國和加拿大,技術架構強大且高度發達,在資料分析、物聯網、人工智慧/機器學習和區塊鏈技術領域創新頻繁,有利於智慧工廠的普及。美洲消費者的需求圍繞著客製化產品、更快的交貨時間以及在不影響品質的情況下經濟高效的生產的需求。為此,製造商正在投資連網型系統,以促進靈活高效的營運。歐洲、中東和非洲地區,包括歐洲、中東和非洲,為智慧工廠解決方案提供了多元化的市場。歐盟 (EU) 國家憑藉其強大的製造基礎以及對創新和自動化的重視,在實施工業 4.0 方面處於領先地位。德國的工業 4.0 和歐盟的「歐洲地平線」計畫等舉措反映了對智慧製造的持續承諾。歐洲嚴格的資料隱私、網路安全和安全法規為合規智慧工廠的開發創造了高度標準化的環境。相較之下,中東地區正在利用其豐富的自然資源向製造業多元化發展,而智慧工廠在這項轉型中發揮關鍵作用。在亞太地區,中國、日本和印度是智慧工廠市場的主要參與企業。在政府「中國製造2025」計畫的支持下,中國正迅速加大智慧製造力度,以升級製造業。印度也緊跟其後,推出「印度製造」等舉措,促進其工業基礎設施的現代化。
FPNV定位矩陣
FPNV定位矩陣對於評估智慧工廠市場至關重要。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。最前線 (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,可以對智慧工廠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細分市場競爭特徵的寶貴見解,包括在研究基準年觀察到的累積、碎片化主導地位和合併特徵等因素。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:包括新產品發布、開拓地區、最新發展和投資的詳細資訊。
4.競爭評估與資訊: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、製造能力等進行全面評估。
5. 產品開發與創新:包括對未來技術、研發活動和突破性產品開發的見解。
1. 智慧工廠市場的市場規模與預測是多少?
2. 在智慧工廠市場預測期內,我們應該考慮投資哪些產品和應用?
3.智慧工廠市場的技術趨勢和法規結構是什麼?
4.智慧工廠市場主要廠商的市場佔有率是多少?
5.進入智慧工廠市場的合適型態和策略手段是什麼?
[199 Pages Report] The Smart Factory Market size was estimated at USD 130.63 billion in 2023 and expected to reach USD 152.20 billion in 2024, at a CAGR 17.34% to reach USD 400.13 billion by 2030.
A smart factory represents the evolution of the traditional manufacturing and production environment infused with modern technological advancements. It is a highly digitized and connected production facility that leverages the IoT), artificial intelligence (AI), data analytics, and robotics to create a sophisticated system of production that is both self-optimizing and intercommunicative. The core objective of a smart factory is to significantly improve the efficiency, productivity, and flexibility of manufacturing operations while reducing waste and operational costs. Support for industrial automation from governments worldwide and the shift towards rapid industrial digital transformation and Industry 4.0 initiatives have propelled the growth of smart factories. Rising demand for enhanced productivity and efficiency is promoting businesses to adopt smart factory solutions, and continuous technological advancements in AI/Ml and IoT have created scope for innovation in the field of smart factories. However, complexities in integrating new systems with legacy equipment can impede market growth. Additionally, increased connectivity raises vulnerabilities to cyber-attacks, and the possibility of privacy or data breaches hamper the widespread proliferation of smart factories. However, key players are exploring the integration of blockchain technologies and new encryption algorithms to improve the security and privacy features of smart factories. Smart energy systems in factories can lead to sustainable practices, and virtual representations of physical processes to simulate and optimize factory operations can provide new avenues of growth for smart factories.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 130.63 billion |
Estimated Year [2024] | USD 152.20 billion |
Forecast Year [2030] | USD 400.13 billion |
CAGR (%) | 17.34% |
Technology: Ability of distributed control systems to offer efficiency and reliability
A distributed control system (DCS) is an automated control system that distributes control functions across multiple decentralized elements rather than being managed from a single location. In smart factories, DCS is preferentially used for complex, multi-process manufacturing where precise control over multiple production lines is needed. Enterprise resource planning (ERP) systems integrate all parts of an operation, such as product development, planning, manufacturing processes, and sales and marketing. Smart factories adopt ERP to streamline processes and information across the organization, thereby increasing operational efficiency. Human-machine interface is a dashboard that connects a person to a machine, system, or device. In smart factories, HMIs are crucial for operators to interact with automation systems and monitor machine diagnostics. Manufacturing execution systems (MES) manage and monitor work-in-process on a factory floor. An MES is preferred in environments where detailed tracking and control of the manufacturing process is necessary to ensure quality and efficiency. Plant asset management systems help in the monitoring and management of assets in a manufacturing plant. These systems are preferred in smart factories where predictive maintenance and asset optimization lead to reduced downtime and increased reliability. Product life cycle management (PLM) helps manage the lifecycle of a product from the beginning through the engineering design and manufacturing steps to service and disposal. Programmable logic controllers (PLC) are industrial digital computers adapted for the control of manufacturing processes. Supervisory control and data acquisition (SCADA) systems are crucial for industrial organizations looking to control industrial processes locally or at remote locations. In smart factories, SCADA is preferred for high-level process management, real-time data collection, and control of numerous interconnected processes.
Industry: Utilization of smart factory concepts for the mass production or customization of products in the discrete industry
The discrete industry encompasses manufacturers that produce distinct products that can be itemized. The aerospace and defense industry is characterized by lengthy product development cycles, stringent regulatory requirements, and a need for advanced manufacturing techniques to accommodate complex products and systems. In the automotive industry, smart factory concepts enhance traditional manufacturing lines, help optimize production flow, and enhance product quality. Vehicle manufacturers are focusing on flexible manufacturing systems that can adapt quickly to changing consumer demands, including the shift toward electric vehicles (EVs). Machine manufacturing, encompassing a broad range of products from simple tools to complex machinery, is a pivotal sector within the discrete industry. Smart factory implementations in this area focus on customizability and rapid production adjustments. The medical device industry is marked by an imperative for high precision and adherence to strict quality and regulatory standards. Smart factories enable this sector to enhance traceability, from raw materials to finished products, and to ensure compliance with healthcare regulations. Semiconductor and electronics manufacturing demands exacting precision, with production environments often requiring cleanroom conditions. The process industry refers to manufacturing activities where the primary production processes involve the chemical, physical, or biological transformation of materials into new products. The chemical sector encompasses the production of industrial chemicals and the transformation of raw materials into products with different properties. This industry is crucial for producing plastics, agrochemicals, pharmaceuticals, detergents, and paints, among other essentials. Smart factories in the energy and power sector are incorporating renewable energy sources, advanced battery storage systems, and intelligent grid management solutions. In the food and beverage space, smart factory initiatives revolve around optimizing supply chains, improving food safety and quality, and increasing production flexibility. The metals and mining industry is exploring smart factory technologies to improve efficiency in extraction and processing while addressing sustainability concerns. Advanced sensor technologies in the oil and gas sector have helped monitor pipeline integrity, detect leaks, and predict maintenance requirements. The pharmaceutical sector has embraced smart technologies to foster innovation, maintain regulatory compliance, and streamline manufacturing.
Regional Insights
The Americas region, particularly the U.S. and Canada, is characterized by a robust and highly developed technological architecture with frequent innovations in the realm of data analytics, IoT, AI/Ml, and blockchain technologies, which has favorably shaped the proliferation of smart factories. Consumer needs in the Americas revolve around the demand for customized products, faster delivery times, and cost-effective production without compromising on quality. In response, manufacturers are investing in connected systems that facilitate flexible and efficient operations. The EMEA region, encompassing Europe, the Middle East, and Africa, presents a diverse market for smart factory solutions. European Union countries are leading in the adoption of Industry 4.0 due to their strong manufacturing base and the emphasis on innovation and automation. Initiatives such as Germany's Industrie 4.0 and the EU's Horizon Europe program are reflective of the ongoing commitment to smart manufacturing. Europe's stringent regulations for data privacy, cybersecurity, and security have created a highly standardized environment for the development of regulatory-compliant smart factories. In contrast, the Middle East is leveraging its wealth of natural resources to diversify into manufacturing, with smart factories playing a key role in this transition. In the Asia Pacific region, China, Japan, and India are key players in the smart factory market. China is witnessing a surge in smart manufacturing initiatives, supported by the government's Made in China 2025 plan, aiming to upgrade its manufacturing sector. India is following suit with initiatives such as 'Make in India', catalyzing the modernization of its industrial infrastructure.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Smart Factory 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 Smart Factory 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 Smart Factory Market, highlighting leading vendors and their innovative profiles. These include 3D Systems Corporation, ABB Ltd., Andea sp. z o.o., Cisco Systems, Inc., Cognex Corporation, Emerson Electric Co., Epicor Software Corporation, Fanuc Corporation, Fruitcore Robotics GmbH, Fujitsu Limited, General Electric Company, Hitachi, Ltd., Honeywell International Inc., HP Development Company, L.P., International Business Machines Corporation, KUKA AG by Midea Group, Microsoft Corporation, Mitsubishi Electric Corporation, NVIDIA Corporation, Oracle Corporation, Robert Bosch GmbH, Rockwell Automation, Inc., SAP SE, Schneider Electric SE, Siemens AG, Stratasys Ltd., TE Connectivity Ltd., Telefonaktiebolaget LM Ericsson, Texas Instruments Incorporated, Ubisense Ltd., and Yokogawa Electric Corporation.
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 Smart Factory Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Smart Factory Market?
3. What are the technology trends and regulatory frameworks in the Smart Factory Market?
4. What is the market share of the leading vendors in the Smart Factory Market?
5. Which modes and strategic moves are suitable for entering the Smart Factory Market?