市場調查報告書
商品編碼
1466589
智慧製造市場:按技術、組件和最終用戶分類 - 2024--2030 年全球預測Smart Manufacturing Market by Technology (3D Printing, Discrete Control Systems, Enterprise Resource Planning), Component (Hardware, Services, Software), End User - Global Forecast 2024-2030 |
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預計2023年智慧製造市場規模為2,070.2億美元,預估2024年將達2,265億美元,2030年將達4,914億美元,複合年成長率為13.14%。
智慧製造是指利用整合的、資料主導的智慧來提高製造效率、生產力和彈性的先進製造方法。智慧製造的核心是物聯網(IoT)框架內操作技術(OT)和資訊科技(IT)的結合。這種融合將實現高度互聯的製造生態系統,其中機器和設備可以透過即時資料交換和分析進行自我最佳化。對可減少時間和成本的軟體系統的需求不斷成長,以及鼓勵製造流程現代化的法規和政策正在推動市場成長。然而,採用智慧技術的高昂初始投資成本以及與物聯網和雲端基礎的系統相關的安全風險可能會阻礙市場成長。也就是說,越來越重視供應鏈最佳化和擴大採用數位雙胞胎(使用實體設備的虛擬副本進行模擬和分析),預計智慧製造市場將出現成長潛力。
主要市場統計 | |
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基準年[2023] | 2070.2億美元 |
預測年份 [2024] | 2265億美元 |
預測年份 [2030] | 4914億美元 |
複合年成長率(%) | 13.14% |
技術 使用離散控制系統來管理和控制單一零件的生產正在迅速增加。
3D 列印(積層製造)是指在電腦控制下將材料分層以創建3D物體的各種過程。智慧製造用於製造複雜的幾何形狀、快速原型製作和產品客製化。離散控制系統管理和控制製造過程中各零件的生產。這些系統包括專為重複性和精確性任務量身定做的機器人控制設備和自動化系統。企業資源規劃 (ERP) 系統將公司的各個方面整合到整個組織均可存取的完整資訊系統中。 ERP系統包括財務、人力資源、生產、供應鏈等模組。人機介面 (HMI) 包括允許操作員與機器和自動化系統互動並控制機器和自動化系統的設備和介面。 HMI 的範圍從簡單的螢幕到複雜的互動式面板。機器執行系統 (MES) 軟體即時控制和監控生產,彌合工廠車間運作和企業系統之間的差距。 MES 解決方案管理工作流程、確保品質合規性並追蹤生產。機器視覺系統利用相機、處理器和軟體演算法來自動執行製造過程中複雜的視覺檢查、引導和分析任務。工廠資產管理 (PAM) 系統監督製造資產的最佳化和使用,以提高運作、資產壽命和營運績效。產品生命週期管理 (PLM) 是一個方法過程,處理產品從設計和開發到最終處置和處置所經歷的一系列變化。可程式邏輯控制器(PLC)是一種電腦控制系統,它不斷掃描輸入設備的狀態,根據自訂程式做出決策,並控制輸出設備的狀態。監控和資料採集 (SCADA) 是一個由硬體和軟體元素組成的系統,允許工業組織在本地或遠端控制流程並監控、收集和處理即時資料。
最終用戶:汽車產業採用智慧製造的進展
在航太和國防工業中,智慧製造對於管理複雜的生產過程、確保零件製造的精度以及保持嚴格的法規遵循至關重要。根據您的需求,有偏好,例如先進的機器人技術、用於預測性維護的人工智慧以及用於製造複雜零件的積層製造。智慧農具正積極融入農業。基於需求的偏好包括精密農業工具、作物監測物聯網以及種植和收穫自動化機械。汽車產業正經歷以智慧製造為核心的重大變革。他的主要偏好是網實整合系統、用於設計和培訓的擴增實境(XR) 以及智慧自動化。在化學和材料行業,智慧製造提高了安全性,減少了對環境的影響並加強了品管。該領域迫切需要先進的分析工具、閉合迴路系統和敏捷製造方法來最佳化流程。食品和飲料產業越來越依賴智慧製造來確保食品安全、可追溯性和永續性。優點包括包裝自動化、即時供應鏈分析和節能系統。採礦業的智慧製造著重於提高安全性、營運效率和減少對環境的影響。自動運輸卡車、即時地質資料分析和能源管理系統的使用越來越多。石油和天然氣產業的智慧製造對於管理風險、最大限度地提高資源開採和最佳化供應鏈至關重要。該行業青睞用於地震探勘、鑽機數位雙胞胎和預測分析的高性能計算。製藥業智慧製造的主要需求是法令遵循、產品品質和藥物快速開發。連續製造、機器人技術和藥物發現人工智慧等技術的需求很大。醫藥產業對智慧製造的主要需求集中在法令遵循、產品品質和藥物快速開發。連續製造、機器人技術和藥物發現人工智慧等技術的需求很大。
區域洞察
在美洲,對效率和生產力的追求以及對工業自動化、人工智慧和物聯網(IIoT)的大規模投資推動了智慧製造。最近的專利展示了預測性維護、網實整合系統和機器人技術的創新。美國標準與技術研究所 (NIST) 等組織的主要研發工作繼續支持產業標準和最佳實踐的發展。投資加拿大計劃等政府舉措預計將為能夠增強競爭力並減少環境足跡的新技術提供資金。在歐盟,客戶的需求極為苛刻,要求遵守嚴格的監管標準和永續性。智慧製造是實現更高資源效率和客製化能力的重要手段。在中東和非洲,人們越來越有興趣擺脫對石油的依賴,而智慧製造被視為這項轉變的關鍵。沙烏地阿拉伯的「2030 年願景」等措施將智慧工廠納入其中,以提高生產力並創造高價值就業機會,並越來越關注航太、國防和汽車製造等發展產業。非洲聯盟《2063 年議程》等舉措設想透過強大和永續的產業來實現非洲大陸的轉型。客戶購買行為著重於基礎技術的採用和流程的改進。然而,如果該地區要充分發揮智慧製造潛力,對基礎設施和技能開發的投資至關重要。亞太地區以中國、日本、印度等國家為代表,智慧製造技術快速普及,呈現獨特的消費者需求與購買行為。亞太國家擁有龐大的製造業部門,這些部門正在「中國製造2025」、「社會5.0」和「印度製造」等政府舉措的宣傳活動下迅速轉型。由於迫切需要克服勞動力短缺和提高產品質量,製造商正在大力投資機器人、人工智慧和5G技術。
FPNV定位矩陣
FPNV定位矩陣對於評估智慧製造市場至關重要。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,可以對智慧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。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.競爭評估及資訊: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、製造能力等進行綜合評估。
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.智慧製造市場規模及預測如何?
2.智慧製造市場預測期內需要考慮投資的產品、細分市場、應用和領域有哪些?
3. 智慧製造市場的技術趨勢和法規結構是什麼?
4.智慧製造市場主要廠商的市場佔有率如何?
5.進入智慧製造市場的合適型態和策略手段是什麼?
[188 Pages Report] The Smart Manufacturing Market size was estimated at USD 207.02 billion in 2023 and expected to reach USD 226.50 billion in 2024, at a CAGR 13.14% to reach USD 491.40 billion by 2030.
Smart manufacturing refers to an advanced approach to production that utilizes integrated, data-driven intelligence to improve manufacturing efficiency, productivity, and flexibility. At its core, smart manufacturing is the combination of operational technology (OT) and information technology (IT) within an Internet of Things (IoT) framework. This convergence enables a highly interconnected manufacturing ecosystem where machinery and equipment can self-optimize through real-time data exchange and analytics. Rising demand for software systems that reduce time and cost and supportive regulations and policies that encourage modernization of the manufacturing process foster market growth. However, high initial investment costs for adopting smart technologies and security risks associated with IoT and cloud-based systems may impede market growth. Nevertheless, rising emphasis on supply chain optimization and the adoption of digital twins, where virtual replicas of physical devices are used for simulation and analysis, is anticipated to create potential opportunities for the smart manufacturing market growth.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 207.02 billion |
Estimated Year [2024] | USD 226.50 billion |
Forecast Year [2030] | USD 491.40 billion |
CAGR (%) | 13.14% |
Technology: Burgeoning utilization of discrete control systems to manage and control individual parts production
3D printing, or additive manufacturing, refers to various processes to create three-dimensional objects by layering material under computer control. It is used in smart manufacturing to produce complex geometries, rapid prototyping, and customization of products. Discrete control systems manage and control the production of individual parts in manufacturing. These systems include robotic controllers and automation systems tailored for repetitive and precise tasks. Enterprise Resource Planning (ERP) systems integrate all facets of an enterprise into one complete information system that individuals across the organization can access. They encompass modules including finance, HR, production, and supply chain. Human Machine Interface (HMI) encompasses the devices and interfaces that allow human operators to interact with and control machines and automation systems. HMIs can range from simple screens to sophisticated interactive panels. Machine Execution Systems (MES) software controls and monitors production in real time, bridging the gap between plant floor operations and enterprise systems. MES solutions manage workflows, ensure quality compliance, and track production. Machine vision systems utilize cameras, processors, and software algorithms to automate complex visual inspections, guidance, and analysis tasks in manufacturing processes. Plant Asset Management (PAM) systems oversee the optimization and usage of manufacturing assets to improve uptime, asset longevity, and operational performance. Product Lifecycle Management (PLM) is a methodical process of handling the series of changes a product moves through, from its design and development to its ultimate retirement or disposal. A programmable logic controller (PLC) is a computer control system that constantly scans the state of input devices and drives decisions based on a custom program to control the state of output devices. Supervisory Control and Data Acquisition (SCADA) is a system of hardware and software elements that permits industrial organizations to control processes locally or at remote locations and monitor, gather, and process real-time data.
End User: Evolving adoption of smart manufacturing in automotive industry
In the aerospace and defense industry, smart manufacturing is critical for managing complex production processes, ensuring precision in component fabrication, and maintaining stringent regulatory compliance. Need-based preferences include advanced robotics, artificial intelligence for predictive maintenance, and additive manufacturing for producing complex parts. Smart farming tools are actively being incorporated into the agriculture industry. The need-based preferences include precision agriculture tools, IoT for crop monitoring, and automated machinery for planting and harvesting. The automotive industry is transforming significantly, with smart manufacturing at its core. Key preferences are cyber-physical systems, extended reality (XR) for design and training, and intelligent automation. In the chemical and materials industry, smart manufacturing improves safety, reduces environmental impact, and increases quality control. The segment craves advanced analytic tools for process optimization, closed-loop systems, and agile production methods. The food and beverage sector increasingly relies on smart manufacturing to ensure food safety, traceability, and sustainability. Preferences include automation in packaging, real-time supply chain analytics, and energy-efficient systems. Smart manufacturing in mining focuses on safety enhancements, operational efficiency, and reducing environmental impact. There is increasing use for autonomous haul trucks, real-time geological data analysis, and energy management systems. Smart manufacturing is essential for risk management, maximizing resource extraction, and optimizing supply chains in oil and gas. The industry favors high-performance computing for seismic exploration, digital twinning of rigs, and predictive analytics. The pharmaceutical industry's primary needs for smart manufacturing revolve around compliance regulation, product quality, and expedited drug development. Technologies such as continuous manufacturing, robotics, and AI for drug discovery are in high demand. The pharmaceutical industry's primary needs for smart manufacturing revolve around compliance regulation, product quality, and expedited drug development. Technologies such as continuous manufacturing, robotics, and AI for drug discovery are in high demand.
Regional Insights
In the Americas, smart manufacturing is driven by the quest for efficiency and productivity, significant investments in industrial automation, artificial intelligence, and the Industrial Internet of Things (IIoT). Recent patents have shown innovation in predictive maintenance, cyber-physical systems, and robotics. Major research initiatives, such as those by the National Institute of Standards and Technology (NIST), continue to underpin the development of industry standards and best practices. Government initiatives, such as the Investing in Canada Plan, are expected to fund new smart manufacturing technologies that could enhance competitiveness and reduce environmental footprints. In the EU, customer needs are highly sophisticated, strongly emphasizing compliance with strict regulatory standards and sustainability. Smart manufacturing is a crucial enabler for greater resource efficiency and customization capabilities. The Middle East and Africa have shown increasing interest in diversifying away from oil dependence, with smart manufacturing seen as pivotal in this transition. There is a growing focus on developing sectors such as aerospace, defense, and automotive manufacturing, with initiatives including Saudi Arabia's Vision 2030 incorporating smart factories to enhance productivity and create high-value jobs. Initiatives such as the African Union's Agenda 2063 envision a transformed continent with robust and sustainable industries. The customer purchasing behavior focuses on basic technology adoption and process improvements. However, infrastructure and skills development investments are critical for the region to harness the full potential of smart manufacturing. The Asia-Pacific region is distinguished by its rapid adoption of smart manufacturing technologies, led by countries such as China, Japan, and India, demonstrating unique consumer needs and purchasing behaviors. Countries in the Asia-Pacific possess enormous manufacturing sectors that are rapidly transforming through government initiatives, including "Made in China 2025", "Society 5.0," and "Make in India" campaigns. With a pressing need to overcome labor shortages and enhance product quality, manufacturers heavily invest in robotics, AI, and 5G technologies.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Smart 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 Smart 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 Smart Manufacturing Market, highlighting leading vendors and their innovative profiles. These include 3D Systems Corporation, ABB Ltd., Altair Engineering, Inc., Andea Solutions Sp. z o.o., Augury Inc., Bright Machines, Inc., Cisco Systems, Inc., Cognex Corporation, Emerson Electric Co., Epicor Software Corporation, Fanuc Corporation, Fruitcore Robotics GmbH, Fujitsu Limited, General Electric Company, General Vision Inc., Honeywell International Inc., International Business Machines Corporation, Mitsubishi Electric Corporation, Nvidia Corporation, Oracle Corporation, Path Robotics, Inc., Progress Software Corporation, Rockwell Automation, Inc., SAP SE, Schneider Electric SE, Siemens AG, SparkCognition, Inc., Stratasys Ltd., Telefonaktiebolaget LM Ericsson, Texas Instruments Incorporated, Xometry Europe GmbH, 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 Manufacturing Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Smart Manufacturing Market?
3. What are the technology trends and regulatory frameworks in the Smart Manufacturing Market?
4. What is the market share of the leading vendors in the Smart Manufacturing Market?
5. Which modes and strategic moves are suitable for entering the Smart Manufacturing Market?