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市場調査レポート
商品コード
1715499
スマートマニュファクチャリング市場:技術、コンポーネント、タイプ、モジュール、展開タイプ、エンドユーザー、最終用途産業、用途別-2025~2030年世界予測Smart Manufacturing Market by Technology, Components, Type, Module, Deployment Type, End Users, End Use Industry, Application - Global Forecast 2025-2030 |
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スマートマニュファクチャリング市場:技術、コンポーネント、タイプ、モジュール、展開タイプ、エンドユーザー、最終用途産業、用途別-2025~2030年世界予測 |
出版日: 2025年04月01日
発行: 360iResearch
ページ情報: 英文 183 Pages
納期: 即日から翌営業日
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スマートマニュファクチャリング市場は、2023年に2,077億5,000万米ドルと評価され、2024年にはCAGR 13.27%で2,345億7,000万米ドルに成長し、2030年には4,972億米ドルに達すると予測されています。
主要市場の統計 | |
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基準年 2023年 | 2,077億5,000万米ドル |
推定年 2024年 | 2,345億7,000万米ドル |
予測年 2030年 | 4,972億米ドル |
CAGR(%) | 13.27% |
急速に進化する今日の産業環境において、スマートマニュファクチャリングは技術革新とオペレーショナル・エクセレンスの最前線に立っています。この新たなパラダイムは、先進技術と伝統的生産手法を統合し、適応性が高く、効率的で拡大性のあるシステムを構築するものです。製造オペレーションは、レガシーなプロセスからデジタル技術を駆使したデータ駆動型モデルへと移行しつつあり、意思決定の改善と市場力学への俊敏な対応を可能にしています。
この変革は、自動化、計算能力、接続性の絶え間ない進歩によって特徴付けられ、製造業者は生産プロセスをリアルタイムで最適化できるようになります。世界の競争が激化する中、企業はコスト削減、製品品質の向上、サプライチェーンの混乱に直面した際の回復力強化のために、スマート技術を取り入れる必要に迫られています。デジタルシステムと物理システムの融合は産業情勢を再定義し、メーカーにこれまで未開拓だった効率性を活用する力を与えています。
スマートマニュファクチャリングは、ハードウェア、ソフトウェア、サービスの融合によって支えられています。センサ技術、リアルタイム分析、コネクテッドデバイスの統合といった新たな動向は、生産手法を再構築する道を記載しています。こうした革新的なアプローチを活用することで、メーカーは操業パフォーマンスを向上させるだけでなく、俊敏性と精度が求められる市場での競合を獲得することができます。この詳細な概要を通じて、このエキサイティングな状況を形成している変革的シフト、セグメンテーション洞察、地域ダイナミックス、影響力のある市場参入企業をより深く探求するための舞台が整いました。
スマートマニュファクチャリングの情勢を再定義する変革的シフト
スマートマニュファクチャリングの状況は、最先端技術と革新的なビジネスモデルの急速な統合によって、変革的な変化を遂げつつあります。従来の製造プロセスは、オペレーションの中核とインテリジェントな分析と自動化システムをシームレスに接続するデジタルツールの出現によって破壊されつつあります。この進化は単なる漸進的なものではなく、生産の概念化と実行方法の根本的な変化です。
サイバー・フィジカルシステムとモノのインターネットの融合を含む技術の飛躍的進歩は、機械やセンサの広大なネットワーク間でのリアルタイムのデータ交換を可能にすることで、産業を前進させています。複雑なデータストリームがより効果的に活用されるようになるにつれ、生産戦略は、トラブルシューティングを事後的に行うものから、システムを事前に最適化するものへと移行しつつあります。このシフトは、故障を予測し、操作上洞察に基づいて動的にプロセスを調整するシステムへの移行に最も顕著に表れています。
この変革の中心にあるのは、よりスマートで応答性の高い生産環境への移行です。企業は、コストのかかるダウンタイムが発生する前にメンテナンスの必要性を予測するために、先進的分析を採用し、リアルタイムのモニタリングによって、エネルギー消費とリソース配分の正確な調整を可能にしています。さらに、拡張現実(AR)やロボット工学などの技術の統合は、製造業における従来の役割を再定義し、エンジニアリング、IT、マネジメントの専門知識を横断的に融合させることを必要としています。このような変化により、継続的改善の文化が推進され、敏捷性、効率性、データ主導洞察が現代の産業戦略の礎となっています。
市場セグメンテーション分析からの主要な洞察
深く掘り下げたセグメンテーション分析により、スマート製造市場の多面的な見解が明らかになりました。技術的な観点から評価すると、3Dプリンティング、機械学習によって拡大された人工知能、没入型の拡張現実と仮想現実体験、堅牢なビッグデータ分析、安全なブロックチェーンの実装、先進的クラウドとコグニティブコンピューティング環境など、さまざまなイノベーションに及んでいます。洞察はさらに、サイバーセキュリティ、モノの産業用インターネット、最先端のロボット工学と自動化システムの展開にまで及び、包括的な技術的大改革を反映しています。
コンポーネント分析ではさらに、市場をハードウェア、ソフトウェア、サービスの各領域に分類しています。ハードウェア領域では、接続機器、コントローラ、プロセッサ、センサとアクチュエータ、トランスミッターに焦点を当てた調査が行われます。サービスセグメントでは、コンサルティング、インテグレーション、継続的なサポートとメンテナンスに重点を置いています。一方、ソフトウェアセグメントは、企業資源計画、製造実行システム、製品ライフサイクル管理ソリューションに綿密に分類されています。このような多角的なアプローチにより、機械やメンテナンスから企業向けソフトウェアに至るまで、製造業のあらゆる側面を確実に捉え、全体的な洞察を提供しています。
製品タイプによるセグメンテーションでは、ディスクリート製造とプロセス製造を区別し、それぞれの製造スタイルに関連する独自の課題とソリューションを浮き彫りにしています。さらに市場は、自動化制御システム、通信システム、モニタリング・モニタリングシステムなどのモジュール別に細分化されており、前者には分散制御システム、産業用ロボット、プログラマブルロジックコントローラ、モニタリング制御データ収集システムなどが含まれます。モニタリング・モニタリングは、アクセス制御、状態モニタリング、予知保全、ビデオモニタリングシステムに細分化され、セキュリティと運用の回復力を詳細に評価します。
さらに、市場をオンクラウドソリューションとオンプレミスソリューションに分類する導入タイプや、大企業と中小企業を区別するエンドユーザーの検討など、市場セグメンテーションのレイヤーを追加しています。分析はさらに、航空宇宙・防衛、自動車、化学・材料、エレクトロニクス、食品・農業、医療医薬品、産業機器、石油・ガスなどの最終用途産業にまで及びます。最後に、アプリケーションベースのセグメンテーションは、状態モニタリング、エネルギー管理、在庫・倉庫管理、予知保全、生産プロセス最適化、品質管理、サプライチェーン・物流管理などの重要な機能をカバーしています。この階層的なセグメンテーションアプローチは、市場需要、投資セグメント、戦略的優先順位を理解するための詳細な枠組みを記載しています。
運用効率を確保し、ダウンタイムを最小限に抑える
The Smart Manufacturing Market was valued at USD 207.75 billion in 2023 and is projected to grow to USD 234.57 billion in 2024, with a CAGR of 13.27%, reaching USD 497.20 billion by 2030.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 207.75 billion |
Estimated Year [2024] | USD 234.57 billion |
Forecast Year [2030] | USD 497.20 billion |
CAGR (%) | 13.27% |
In today's rapidly evolving industrial environment, smart manufacturing stands at the forefront of technological innovation and operational excellence. This emerging paradigm integrates advanced technologies with traditional production methods to create adaptive, efficient, and scalable systems. Manufacturing operations are transitioning away from legacy processes towards digitally enabled, data-driven models, enabling improved decision-making and more agile responses to market dynamics.
This transformation is marked by relentless progress in automation, computational power, and connectivity, allowing manufacturers to optimize production processes in real time. As global competition intensifies, organizations are compelled to incorporate smart technologies to reduce costs, enhance product quality, and become more resilient in the face of supply chain disruptions. The convergence of digital and physical systems is redefining industrial landscapes, empowering manufacturers to harness previously untapped efficiencies.
The broader narrative of smart manufacturing is underpinned by the blending of hardware, software, and services, which collectively enable unprecedented levels of process visibility and control. Emerging trends such as the integration of sensor technology, real-time analytics, and connected devices offer pathways to reimagine production methodologies. By leveraging these innovative approaches, manufacturers not only enhance operational performance but also gain a competitive edge in a market that demands agility and precision. Through this detailed overview, the stage is set for a deeper exploration into the transformative shifts, segmentation insights, regional dynamics, and influential market players shaping this exciting landscape.
Transformative Shifts Redefining the Smart Manufacturing Landscape
The smart manufacturing landscape is undergoing transformative shifts driven by the rapid integration of cutting-edge technologies and innovative business models. Traditional manufacturing processes are being disrupted by the advent of digital tools that seamlessly connect the operational core with intelligent analytics and automation systems. This evolution is not merely incremental; it is a fundamental change in how production is conceptualized and executed.
Technological breakthroughs, including the convergence of cyber-physical systems and the Internet of Things, are propelling industry forward by enabling real-time data exchange across vast networks of machinery and sensors. As complex data streams are harnessed more effectively, production strategies are shifting from reactive troubleshooting to proactive system optimization. This shift is most apparent in the move towards systems that anticipate failures and adjust processes dynamically based on operational insights.
At the heart of this transformation is the move towards a smarter, more responsive production environment. Companies are embracing advanced analytics to predict maintenance needs before they result in costly downtime, while real-time monitoring allows for precise adjustments to energy consumption and resource allocation. Furthermore, the integration of technologies such as augmented reality and robotics is redefining traditional roles within manufacturing, requiring a cross-disciplinary blend of engineering, IT, and management expertise. These changes drive a culture of continuous improvement, where agility, efficiency, and data-driven insights form the cornerstone of modern industrial strategies.
Key Insights from Market Segmentation Analysis
Deep dive segmentation analysis reveals a multi-faceted view of the smart manufacturing market, where various factors come together to define the structure of the industry. When evaluated from a technological perspective, the study spans a range of innovations including 3D printing, artificial intelligence augmented by machine learning, immersive augmented and virtual reality experiences, robust big data analytics, secure blockchain implementations, and advanced cloud and cognitive computing environments. The insights extend further into cybersecurity, the industrial internet of things, and the deployment of cutting-edge robotics and automation systems, reflecting a comprehensive technological overhaul.
Component analysis further dissects the market into hardware, software, and services realms. In the hardware domain, there is a focused examination of connectivity devices, controllers, processors, sensors and actuators, and transmitters. The services component emphasizes consulting, integration, and ongoing support and maintenance. Meanwhile, the software segment is meticulously categorized into enterprise resource planning, manufacturing execution systems, and product lifecycle management solutions. This multi-dimensional approach ensures that every facet of manufacturing-from machinery and maintenance to enterprise software-is captured, providing holistic insights.
The segmentation based on type distinguishes between discrete and process manufacturing, highlighting the unique challenges and solutions associated with each production style. Moreover, the market is further segmented by modules such as automation control systems, communication systems, and monitoring and surveillance systems; where the former includes distributed control systems, industrial robotics, programmable logic controllers, and supervisory control and data acquisition systems. Monitoring and surveillance are refined into access control, condition monitoring, predictive maintenance, and video surveillance systems, ensuring an in-depth assessment of security and operational resilience.
Additional segmentation layers include the deployment types, dividing the market into on-cloud and on-premise solutions, and an examination of end users, distinguishing between large organizations and small to medium-sized enterprises. Analysis further extends to the end use industries such as aerospace and defence, automotive, chemicals and materials, electronics, food and agriculture, healthcare and pharmaceuticals, industrial equipment, and oil and gas. Finally, application-based segmentation covers essential functions like condition monitoring, energy management, inventory and warehouse management, predictive maintenance, production process optimization, quality management, and supply chain and logistics management. This layered segmentation approach provides a detailed framework to understand market demands, investment areas, and strategic priorities across the spectrum.
Based on Technology, market is studied across 3D Printing, AI and Machine Learning, Augmented Reality (AR) & Virtual Reality (VR), Big Data Analytics, Blockchain, Cloud Computing, Cognitive Computing, Cybersecurity, Industrial Internet of Things, and Robotics & Automation.
Based on Components, market is studied across Hardware, Services, and Software. The Hardware is further studied across Connectivity Devices, Controllers, Processors, Sensors and Actuators, and Transmitters. The Services is further studied across Consulting Services, Integration Services, and Support & Maintenance. The Software is further studied across Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES), and Product Lifecycle Management (PLM).
Based on Type, market is studied across Discrete Manufacturing and Process Manufacturing.
Based on Module, market is studied across Automation Control Systems, Communication Systems, and Monitoring & Surveillance Systems. The Automation Control Systems is further studied across Distributed Control Systems (DCS), Industrial Robotics, Programmable Logic Controllers (PLCs), and Supervisory Control and Data Acquisition (SCADA). The Monitoring & Surveillance Systems is further studied across Access Control Systems, Condition Monitoring Systems, Predictive Maintenance Systems, and Video Surveillance Systems.
Based on Deployment Type, market is studied across On-Cloud and On-Premise.
Based on End Users, market is studied across Large Organizations and Small & Medium-Sized Enterprises.
Based on End Use Industry, market is studied across Aerospace & Defence, Automotive, Chemicals & Materials, Electronics, Food & Agriculture, Healthcare & Pharmaceuticals, Industrial Equipment, and Oil & Gas.
Based on Application, market is studied across Condition Monitoring, Energy Management, Inventory & Warehouse Management, Predictive Maintenance, Production Process Optimization, Quality Management, and Supply Chain & Logistics Management.
Regional Dynamics Driving the Smart Manufacturing Market
Regional dynamics play a critical role in shaping the trajectory of smart manufacturing, where distinct economic and regulatory landscapes lead to unique market challenges and opportunities. In North America, the landscape is driven by a strong emphasis on technological integration and digital transformation, where established industries leverage advanced manufacturing solutions to maintain global leadership. Regions spanning Europe, the Middle East, and Africa reveal a blend of mature markets and emerging economies that are increasingly investing in smart infrastructure and industrial modernization.
Across the Asia-Pacific, rapid industrialization coupled with a robust technology adoption culture has fostered an environment where smart manufacturing initiatives are scaling quickly. These regions are characterized by a convergence of high production volumes and significant investments in research and development, resulting in accelerated deployment of smart systems. When analyzed collectively, these regional insights underscore the importance of adapting technology solutions to meet the local nuances of regulatory frameworks, infrastructure readiness, and market maturity, ensuring that global strategies are aligned with regional priorities.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.
Insights on Leading Enterprises Shaping the Market
The competitive landscape of smart manufacturing is defined by a robust cadre of leading enterprises that are guiding the evolution of industry practices on a global scale. Industry frontrunners such as 3D Systems Corporation and ABB Ltd. have long been recognized for their pioneering work in integrating advanced manufacturing techniques with digital solutions. The market also includes influential innovators like Altair Engineering, Inc. and Andea Solutions Sp. z o.o. who are leveraging precision engineering along with state-of-the-art automation skills.
Further adding to this dynamic ecosystem are companies including Augury Inc., Bright Machines, Inc., and Cisco Systems, Inc., whose contributions are setting benchmarks in communication and connectivity within the industrial domain. The advancement of vision and precision is further exemplified by the initiatives from Cognex Corporation and Emerson Electric Co., while Epicor Software Corporation and Fanuc Corporation bring forward comprehensive software and robotics solutions that reshape production paradigms.
Notably, companies such as Fruitcore Robotics GmbH, Fujitsu Limited, General Electric Company, and General Vision Inc. have all played pivotal roles in customizing manufacturing processes to meet industry-specific demands. Leaders like Honeywell International Inc., Intel Corporation, and International Business Machines Corporation continue to drive large-scale digital integration. The global scope of the market is further expanded by contributions from Kuka AG, Mitsubishi Electric Corporation, Nvidia Corporation, Oracle Corporation, Path Robotics, Inc., and Progress Software Corporation. This collective excellence is rounded out by notable players including PTC Inc., 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. Their strategic initiatives not only set industry standards but also foster a competitive environment where innovation remains the primary driver of transformation.
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., Intel Corporation, International Business Machines Corporation, Kuka AG, Mitsubishi Electric Corporation, Nvidia Corporation, Oracle Corporation, Path Robotics, Inc., Progress Software Corporation, PTC Inc., 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. Actionable Recommendations for Industry Leaders
Industry leaders must focus on embracing digital transformation by investing in scalable and flexible technology solutions that not only meet current needs but also future-proof their operations. It is crucial to align strategic priorities with advances in automation, sensor integration, and advanced analytics, which will support real-time decision-making and process optimization. Leaders should foster continuous development and invest in cross-functional teams that blend technical expertise with operational insights to drive efficiency and innovation.
Furthermore, the integration of systems that support predictive maintenance and advanced monitoring can significantly enhance operational uptime and reduce costs over time. Organizations are well-advised to seek partnerships with technology providers who offer comprehensive support across hardware, software, and service domains. By embedding an agile mindset into corporate strategies, decision-makers can navigate shifting market conditions, mitigate supply chain interruptions, and capitalize on emerging opportunities.
Innovation should be at the core of every strategic initiative, with ongoing investment in research and development to harness the full potential of technologies such as artificial intelligence, machine learning, and robotics. It is also recommended to adopt integrated platforms that facilitate seamless communication between disparate systems, ensuring a unified operational framework. These proactive measures will help in building a resilient and future-ready manufacturing infrastructure that stands poised to lead the market in the coming years.
Conclusion: Summarizing the Smart Manufacturing Outlook
In summary, the evolution of smart manufacturing is a multifaceted journey that encompasses transformative technology shifts, detailed segmentation insights, robust regional dynamics, and the influence of leading global enterprises. The integration of digital tools with traditional manufacturing methods is reshaping the industry, driving efficiency, innovation, and competitive advantage. As companies continue to adapt to these changes, the promise of enhanced productivity and operational excellence remains within reach.
This comprehensive overview underscores the critical importance of aligning strategy with technological advancement and regional market nuances. By embracing a holistic approach that integrates both hardware and software innovations along with dedicated service frameworks, organizations are well-equipped to thrive in this dynamic environment. The future of smart manufacturing is not just about adopting new technology, but about rethinking and redefining the entire production ecosystem.
to ensure operational efficiency and minimize downtime