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市場調查報告書
商品編碼
1776745
2032 年工業IoT(IIoT) 市場預測:按組件、部署模式、連接技術、組織規模、應用、最終用戶和地區進行的全球分析Industrial IoT Market Forecasts to 2032 - Global Analysis by Component, Deployment Mode, Connectivity Technology, Organization Size, Application, End User and Geography |
根據 Stratistics MRC 的數據,全球工業IoT(IIoT) 市場預計在 2025 年達到 2,230.6 億美元,到 2032 年將達到 9,554.9 億美元,預測期內的複合年成長率為 23.1%。
工業IoT(IIoT) 是指將智慧感測器、設備和機器與雲端基礎的軟體和分析技術相整合,以改善工業流程。它支援製造、能源和物流等領域的即時數據共用、預測性維護和自動化。透過連接設備和系統,IIoT 幫助企業提高效率、減少停機時間,並做出更明智的數據主導決策,從而實現長期成長和創新。
據 ZipDo 稱,75% 的企業正在投資物聯網以提高業務效率,60% 的企業報告資產利用率顯著提高,90% 的企業表示採用物聯網後生產力提高。
工業4.0和智慧製造的興起
工業 4.0 的興起標誌著向智慧互聯製造系統的轉型,該系統利用先進技術最佳化生產流程。隨著企業尋求透過即時監控和預測分析來提高業務效率、減少停機時間並提升產品質量,智慧製造計劃正在推動對工業物聯網 (IIoT) 解決方案的巨大需求。此外,人工智慧、機器學習和先進感測器的融合使製造商能夠實現前所未有的自動化水平和數據主導的決策能力,這使得工業物聯網成為跨工業領域數位轉型的基礎技術。
初期投資成本高
部署全面的工業物聯網 (IIoT) 系統需要大量的資本支出,用於硬體基礎設施、軟體平台、系統整合以及技術純熟勞工的培訓。許多組織在考慮採用工業IoT技術時面臨巨大的財務障礙,尤其是預算有限的小型製造商。此外,將舊有系統整合到現代物聯網基礎設施中非常複雜,通常需要大量的客製化和專業服務,這進一步增加了初始投資需求。此外,投資回報時間和持續維護成本的不確定性,也導致決策者猶豫不決,並減緩了市場採用。
開發客製化的整合解決方案
隨著各行各業尋求能夠應對特定營運挑戰和監管要求的專用應用,對客製化工業物聯網 (IIoT) 解決方案的需求日益成長,這創造了巨大的成長機會。企業正在尋求集設備管理、數據分析和雲端連接於一體的整合平台,以提供全面的價值提案。此外,邊緣運算、5G 連接和人工智慧等新技術的融合,為創新工業物聯網應用創造了新的可能性。
網路攻擊與惡意攻擊
工業物聯網生態系統的互聯互通特性擴大了攻擊面,網路犯罪分子會積極利用這些攻擊面來擾亂業務、竊取敏感資料或對工業基礎設施造成物理損壞。工業系統面臨高階威脅,包括惡意軟體注入、未授權存取和拒絕服務攻擊,這些威脅可能導致嚴重的生產損失和安全隱患。此外,網路事件可能導致網際網路絡發生連鎖故障,對業務連續性和公共構成重大風險。
新冠疫情最初阻礙了工業物聯網 (IIoT) 市場的成長,因為主要工業地區的製造業務暫停,導致生產中斷和供應鏈中斷。企業面臨採購挑戰、價格上漲和運輸延誤,影響了維持業務效率的能力。然而,疫情加速了遠端監控和預測性維護解決方案的長期採用,企業也意識到在中斷期間保持彈性、數位化營運的重要性。這場危機最終強化了工業物聯網技術對業務永續營運連續性和供應鏈可視性的戰略價值。
預計硬體部分將成為預測期內最大的部分
預計硬體部分將在預測期內佔據最大的市場佔有率。硬體組件是基礎架構,透過感測器、致動器、工業閘道器和邊緣運算設備,實現工業環境中的工業物聯網 (IIoT) 連接、資料收集和通訊。這些實體組件對於整個製造業務的即時監控、設備控制和資料傳輸至關重要。此外,處理器技術、感測器功能和連接解決方案的持續進步,正在推動工業設施對硬體升級和擴展的持續需求。
預計在預測期內,雲端基礎的部分將以最高的複合年成長率成長。
預計雲端基礎的細分市場將在預測期內實現最高成長率。雲端基礎的工業物聯網 (IIoT) 解決方案具備擴充性、靈活性和更低的基礎設施成本,對於希望避免在本地硬體上進行大量投資的組織而言極具吸引力。這些平台支援遠端資料儲存、進階分析和機器學習功能,從而支援預測性維護和營運最佳化。此外,雲端解決方案能夠促進地理位置分散的團隊之間更輕鬆的協作,並提供即時洞察,從而實現敏捷決策。數位轉型計畫的推進和遠端監控功能的日益普及,正在推動雲端基礎的工業物聯網部署持續快速成長。
在預測期內,北美預計將佔據最大的市場佔有率,這得益於其早期的技術採用、強大的工業基礎設施以及政府對各工業領域數位化舉措的大力支持。該地區受益於先進的技術生態系統、強勁的研發投入以及有利於工業物聯網 (IIoT) 應用的良好法規環境。此外,領先的科技公司和製造業領導者的存在也促進了創新和市場發展。此外,美國對工業自動化、智慧製造和供應鏈彈性的重視鞏固了北美的主導地位。
預計亞太地區在預測期內的複合年成長率最高。這得歸功於快速的工業化進程、製造業投資的增加以及政府支持新興經濟體數位轉型的措施。印度和中國等國家正在實施雄心勃勃的經濟發展計劃,優先發展先進製造技術和智慧基礎設施。此外,該地區不斷擴大的製造業基礎,加上不斷上漲的人事費用,為透過採用工業物聯網 (IIoT) 實現自動化和效率提升創造了強大的獎勵。此外,電信業者和技術供應商之間的合作正在建立強大的 5G 網路,這將支援先進的工業物聯網應用和連接解決方案。
According to Stratistics MRC, the Global Industrial IoT (IIoT) Market is accounted for $223.06 billion in 2025 and is expected to reach $955.49 billion by 2032 growing at a CAGR of 23.1% during the forecast period. Industrial IoT (IIoT) refers to the integration of smart sensors, devices, and machines with cloud-based software and analytics to improve industrial processes. It enables real-time data sharing, predictive maintenance and automation across sectors like manufacturing, energy, and logistics. By connecting equipment and systems, IIoT helps businesses boost efficiency, reduce downtime, and make smarter, data-driven decisions for long-term growth and innovation.
According to ZipDo, 75% of enterprises invest in IoT to improve operational efficiency, 60% report significant gains in asset utilization, and 90% cite productivity increases resulting from IoT implementation.
Rise of industry 4.0 and smart manufacturing
The emergence of Industry 4.0 represents a transformative shift toward intelligent, interconnected manufacturing systems that leverage advanced technologies to optimize production processes. Smart manufacturing initiatives drive substantial demand for IIoT solutions as companies seek to enhance operational efficiency, reduce downtime, and improve product quality through real-time monitoring and predictive analytics. Furthermore, the integration of artificial intelligence, machine learning, and advanced sensors enables manufacturers to achieve unprecedented levels of automation and data-driven decision-making, positioning IIoT as a cornerstone technology for digital transformation across industrial sectors.
High upfront investment costs
The implementation of comprehensive IIoT systems requires substantial capital expenditure for hardware infrastructure, software platforms, system integration, and skilled workforce training. Many organizations face significant financial barriers when considering the adoption of industrial IoT technologies, particularly smaller manufacturers with limited budgets. Additionally, the complexity of integrating legacy systems with modern IoT infrastructure often necessitates extensive customization and professional services, further escalating initial investment requirements. Moreover, the uncertain return on investment timeline and ongoing maintenance costs create hesitation among decision-makers, slowing market penetration.
Development of customized and integrated solutions
The increasing demand for tailored IIoT solutions presents significant growth opportunities as industries seek specialized applications that address specific operational challenges and regulatory requirements. Companies are pursuing integrated platforms that combine device management, data analytics, and cloud connectivity to deliver comprehensive value propositions. Furthermore, the convergence of emerging technologies such as edge computing, 5G connectivity, and artificial intelligence creates new possibilities for innovative IIoT applications.
Cyberattacks and malicious exploitation
The interconnected nature of IIoT ecosystems creates expanded attack surfaces that cybercriminals actively exploit to disrupt operations, steal sensitive data, or cause physical damage to industrial infrastructure. Industrial systems face sophisticated threats, including malware injection, unauthorized access, and denial-of-service attacks that can result in significant production losses and safety hazards. Moreover, the potential for cyber incidents to cause cascading failures across interconnected networks poses substantial risks to operational continuity and public safety.
The COVID-19 pandemic initially disrupted IIoT market growth as manufacturing operations were suspended across major industrial hubs, leading to production slowdowns and supply chain disruptions. Companies faced procurement challenges, pricing spikes, and delayed shipments that impacted their ability to maintain operational efficiency. However, the pandemic accelerated long-term adoption of remote monitoring and predictive maintenance solutions as organizations recognized the critical importance of resilient, digitally enabled operations during disruptions. The crisis ultimately reinforced the strategic value of IIoT technologies for business continuity and supply chain visibility.
The hardware segment is expected to be the largest during the forecast period
The hardware segment is expected to account for the largest market share during the forecast period. Hardware components serve as the fundamental infrastructure enabling IIoT connectivity, data collection, and communication within industrial environments through sensors, actuators, industrial gateways, and edge computing devices. These physical components are essential for real-time monitoring, equipment control, and data transmission across manufacturing operations. Moreover, continuous advancements in processor technology, sensor capabilities, and connectivity solutions drive sustained demand for hardware upgrades and expansions across industrial facilities.
The cloud-based segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate. Cloud-based IIoT solutions offer scalability, flexibility, and reduced infrastructure costs that appeal to organizations seeking to avoid substantial on-premises hardware investments. These platforms enable remote data storage, advanced analytics, and machine learning capabilities that support predictive maintenance and operational optimization. Furthermore, cloud solutions facilitate easier collaboration across geographically dispersed teams and provide access to real-time insights for agile decision-making. The ongoing digital transformation initiatives and increasing adoption of remote monitoring capabilities continue to drive rapid growth in cloud-based IIoT deployments.
During the forecast period, the North America region is expected to hold the largest market share due to early technology adoption, robust industrial infrastructure, and strong governmental support for digitalization initiatives across industrial sectors. The region benefits from advanced technology ecosystems, substantial research and development investments, and favorable regulatory environments that encourage IIoT implementation. Additionally, the presence of major technology companies and manufacturing leaders drives innovation and market development. Moreover, the United States' focus on industrial automation, smart manufacturing, and supply chain resilience reinforces North America's leadership position.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid industrialization, increasing manufacturing investments, and government initiatives supporting digital transformation across emerging economies. Countries like India and China are implementing ambitious economic development plans that prioritize advanced manufacturing technologies and smart infrastructure development. Furthermore, the region's expanding manufacturing base, coupled with rising labor costs, creates strong incentives for automation and efficiency improvements through IIoT adoption. Additionally, collaborative efforts between telecommunications companies and technology providers are establishing robust 5G networks that enable advanced IIoT applications and connectivity solutions.
Key players in the market
Some of the key players in Industrial IoT (IIoT) Market include Siemens AG, General Electric Company, IBM Corporation, Cisco Systems, Inc., Microsoft Corporation, Bosch Group, Schneider Electric SE, Rockwell Automation, Inc., Honeywell International Inc., Intel Corporation, Amazon Web Services, Inc., ABB Ltd., PTC Inc., Hitachi, Ltd., Emerson Electric Co., SAP SE, Mitsubishi Electric Corporation and Advantech Co., Ltd.
In July 2025, Siemens Smart Infrastructure announced a collaboration agreement with Microsoft to transform access to Internet of Things (IoT) data for buildings. The collaboration will enable interoperability between Siemens' digital building platform, Building X, and Microsoft Azure IoT Operations enabled by Azure Arc. Azure IoT Operations, a component of this adaptive cloud approach, provides tools and infrastructure to connect edge devices while integrating data, enabling organizations to optimize their operations and utilize the potential of their IoT environments.
In June 2025, Siemens and NVIDIA announced an expansion of their partnership to accelerate the next era of industrial AI and digitalization and enable the factory of the future. "Modern manufacturers face mounting pressure to boost efficiency, enhance quality and adapt swiftly to changing market demands," said Jensen Huang, founder and CEO of NVIDIA. "Our partnership with Siemens is bringing NVIDIA AI and accelerated computing to the world's leading enterprises and opening new opportunities for the next wave of industrial AI."
In April 2024, Rockwell Automation, Inc. the world's largest company dedicated to industrial automation and digital transformation has announced it is working with Microsoft on three significant technology innovations that will be on display at Hannover Messe, 22-26 April.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.