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市場調查報告書
商品編碼
2030219
工業物聯網平台市場-全球產業規模、佔有率、趨勢、機會、預測:按產品、應用、地區和競爭格局分類,2021-2031年IIoT Platform Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering, By Application, By Region & Competition, 2021-2031F |
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全球工業物聯網平台市場預計將從 2025 年的 112.2 億美元成長到 2031 年的 231.2 億美元,複合年成長率為 12.81%。
工業物聯網 (IIoT) 平台作為整合軟體框架,透過促進操作技術和工業資產的安全連接、資料收集和分析,顯著提升製造營運的監控和管理水準。這項市場成長的主要驅動力來自全球對工業自動化日益成長的需求、預測性維護以減少設備停機時間的必要性,以及各行各業對即時營運洞察日益成長的需求。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 112.2億美元 |
| 市場規模:2031年 | 231.2億美元 |
| 複合年成長率:2026-2031年 | 12.81% |
| 成長最快的細分市場 | 業務流程最佳化 |
| 最大的市場 | 北美洲 |
底層自動化技術的投資激增與工業物聯網(IIoT)平台的普及直接相關。根據自動化促進協會(A3)的報告,預計2025年上半年北美地區的機器人訂單將成長4.3%,相關收入將年增7.5%,這表明工業領域的數位轉型正在進行中。然而,阻礙市場進一步成長的主要障礙包括對嚴格網路安全措施的擔憂以及將各種舊有系統整合到現代工業物聯網網路中的難度。
連接框架的進步,特別是5G網路的持續部署,是全球工業物聯網(IIoT)平台市場的主要驅動力。 5G提供的卓越頻寬、低延遲和廣泛的設備支持,對於實現眾多智慧型設備和工業感測器之間的即時數據共用至關重要,從而支持自主製造和高解析度影片分析等高級應用場景。這種增強的連結性是邊緣運算和分散式架構的基礎,也是複雜IIoT環境平穩運作的關鍵。正如愛立信移動報告所述,預計到2025年,全球5G人口覆蓋率將達到60%,同年還將新增4億人口接入5G網路,凸顯了推動行業數位化轉型的關鍵基礎設施建設。
將人工智慧 (AI) 和機器學習 (ML) 整合到工業物聯網 (IIoT) 平台中,正在顯著改變工業數據的使用方式,使其從單純的觀察轉向處方和預測分析。這些先進功能使平台能夠評估大量數據、檢測異常、預測機器故障並自主最佳化運行設置,從而顯著降低成本並提高生產效率。例如,羅克韋爾自動化於 2025 年 6 月發布的第十份年度《智慧製造現況》報告顯示,95% 的製造商已經投資或計劃在未來五年內投資 AI 和 ML 技術。這凸顯了這些工具在獲取營運洞察方面的價值已被廣泛認可。為了體現對工業數位化基礎設施的廣泛投入,ABB 於 2025 年 9 月宣布向其美國子公司投資 1.1 億美元,以加強其在先進電氣化領域的製造能力和研發,而先進電氣化是工業數位化轉型不可或缺的一部分。
對強大網路安全措施的持續擔憂是全球工業物聯網(IIoT)平台市場進一步成長的主要障礙。長期以來,工業環境一直優先考慮業務連續性而非數位保護,導致漏洞增多,阻礙了互聯IIoT平台的普及。由於網路脆弱性增加,企業擔心業務中斷、智慧財產權竊盜和資料外洩等風險,因此對採用新的數位化創新仍持謹慎態度。這種擔憂導致IIoT系統的評估週期延長,投資也隨之延後。
此外,將各種舊有系統整合到目前的營運技術 (OT) 框架中是一項複雜的任務,也是一大障礙。這些老舊系統通常依賴過時的架構和協議,與現代工業物聯網 (IIoT) 的安全要求存在固有的不相容,因此需要投入大量資源和專業知識才能實現安全整合。正如國際自動化協會 (ISA) 所指出的,到 2025 年,將有 1506 人獲得「ISA/IEC 62443 網路安全基礎專家」認證。這凸顯了產業需要持續進行大規模工作,以應對工業控制系統不斷演變的安全狀況。這些整合難題會延長專案工期並增加實施成本,從而降低許多工業企業採用 IIoT 平台的意願。
全球工業物聯網 (IIoT) 平台市場正受到向混合和雲端原生平台轉變的影響,這些平台為工業活動提供了更強的可擴展性和適應性。此類部署策略確保了操作技術(OT) 和資訊技術 (IT) 基礎架構的無縫整合,使企業能夠在私有環境中管理敏感資訊,同時利用公共雲端的強大功能。這種方法還提高了 IIoT 環境的響應速度,透過在雲端資料中心和邊緣節點之間靈活分配工作負載,提高了效率並最大限度地降低了延遲,尤其是在即時應用中。正如 DataBank 在 2026 年 2 月的報告所述,混合工具和供應商解決方案正在迅速成熟,從而降低了營運成本和整合挑戰。這透過確保跨私有網路和雲端網路的統一安全、監控和編配,加速了向混合模式的轉變。
另一個大趨勢是數位雙胞胎技術的日益普及,該技術能夠產生實體系統、流程和資產的虛擬副本。透過利用來自工業物聯網 (IIoT) 感測器的即時數據,這些數位雙胞胎能夠提供詳盡的洞察,從而支援整個工業生命週期中的複雜模擬、預測分析和最佳化。製造商正在利用這項創新技術在不中斷生產的情況下進行變更試點,預測潛在的品質缺陷,並在模擬環境中最佳化維護計劃。這項功能顯著降低了營運風險,並改善了策略決策流程。根據 Instandart 2026 年 3 月發布的報告,全球數位雙胞胎市場價值約為 360 億美元,預計在未來十年內將顯著成長,這主要得益於人工智慧、進階分析和物聯網連接的廣泛應用。
The Global IIoT Platform Market is expected to expand from USD 11.22 Billion in 2025 to USD 23.12 Billion by 2031, reflecting a compound annual growth rate of 12.81%. Functioning as a unified software framework, an Industrial Internet of Things (IIoT) platform facilitates secure connectivity, data collection, and analytics for operational technology and industrial assets, significantly improving oversight and management of manufacturing operations. The market's growth is primarily fueled by the rising worldwide need for industrial automation, the vital requirement for predictive maintenance to reduce equipment downtime, and the growing demand for real-time operational insights across diverse industrial sectors.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 11.22 Billion |
| Market Size 2031 | USD 23.12 Billion |
| CAGR 2026-2031 | 12.81% |
| Fastest Growing Segment | Business Process Optimization |
| Largest Market | North America |
The surge in foundational automation investments is directly linked to the widespread adoption of IIoT platforms. As reported by the Association for Advancing Automation (A3), North American robot orders grew by 4.3% in the first half of 2025, with related revenues increasing by 7.5% year-over-year, pointing to an ongoing digital transformation in the industrial sector. Nevertheless, major hurdles hindering wider market growth include ongoing anxieties over stringent cybersecurity measures and the difficult integration of varied legacy systems into modern IIoT networks.
Market Driver
Progress in connectivity frameworks, especially the continuous rollout of 5G networks, acts as a primary catalyst for the Global IIoT Platform Market. The superior bandwidth, reduced latency, and greater device support provided by 5G are vital for enabling instantaneous data sharing across numerous smart devices and industrial sensors, which in turn supports advanced use cases such as autonomous manufacturing and high-definition video analysis. This upgraded connectivity is fundamental for running intricate IIoT environments smoothly, backing edge computing and distributed architectures. As noted in the Ericsson Mobility Report, global 5G population coverage was projected to hit 60 percent in 2025, reaching an extra 400 million individuals that year, highlighting the essential infrastructure development driving industrial digitalization.
Incorporating Artificial Intelligence and Machine Learning into IIoT platforms is drastically changing industrial data utilization, shifting from basic observation to prescriptive and predictive analytics. These sophisticated features empower platforms to evaluate massive amounts of data, detect irregularities, predict machinery breakdowns, and streamline operational settings autonomously, yielding major cost savings and productivity boosts. Illustrating this trend, Rockwell Automation's 10th Annual State of Smart Manufacturing Report from June 2025 revealed that 95% of manufacturers had invested or intended to invest in AI and ML technologies over the subsequent five years, emphasizing the recognized worth of these tools for operational insight. Mirroring this expansive commitment to industrial digital infrastructure, ABB announced in September 2025 a US$110 million investment into its US branches for the year to boost manufacturing capacity and research and development in advanced electrification, an essential element of industrial digital transformation.
Market Challenge
Ongoing worries concerning strong cybersecurity measures pose a major obstacle to the wider growth of the Global IIoT Platform Market. Because industrial settings were historically built to prioritize operational continuity over digital protection, they now confront growing vulnerabilities that discourage the implementation of interconnected IIoT platforms. Companies remain reluctant to adopt fresh digital innovations because of the increased dangers of operational interruptions, intellectual property theft, and data leaks associated with vulnerable networks. This apprehension leads to extended assessment periods and delayed financial commitments to IIoT systems.
Moreover, the intricate merging of diverse legacy systems into current operational technology frameworks acts as a significant hurdle. These aging systems frequently rely on obsolete architectures and protocols that inherently clash with contemporary IIoT security requirements, demanding considerable resources and expert knowledge to integrate safely. As highlighted by the International Society of Automation, 1,506 individuals newly acquired the ISA/IEC 62443 Cybersecurity Fundamentals Specialist certification in 2025, emphasizing the massive and continuous effort needed by the industry to tackle the shifting security environment of industrial control systems. These integration difficulties inflate project schedules and deployment expenses, thereby reducing the appeal of IIoT platform adoption for numerous industrial organizations.
Market Trends
The Global IIoT Platform Market is heavily shaped by the transition toward hybrid and cloud-native platforms, which provide enhanced scalability and adaptability for industrial activities. Such deployment strategies ensure a smooth combination of operational technology with information technology infrastructure, empowering companies to handle confidential information in private settings while utilizing the robust features of public clouds. This method also boosts the responsiveness of IIoT environments, permitting fluid workload distribution between cloud data centers and edge nodes to improve efficiency and minimize delays, especially in real-time applications. As reported by DataBank in February 2026, hybrid tools and vendor solutions have matured quickly, lowering operational overhead and integration difficulties, thus speeding up the shift to hybrid models by ensuring uniform security, monitoring, and orchestration across private and cloud networks.
A further major trend is the growing use of digital twin technology, involving the generation of virtual counterparts for physical systems, processes, and assets. By utilizing live data from IIoT sensors, these digital twins deliver in-depth insights that support complex simulations, predictive analytics, and optimization across the whole industrial lifespan. Manufacturers apply this innovation to trial modifications without halting production, anticipate possible quality defects, and refine maintenance timetables within a simulated setting. This capability dramatically lowers operational hazards and improves strategic decision-making processes. According to Instandart in March 2026, the worldwide digital twin market was valued at roughly USD 36 billion, with forecasts pointing to substantial expansion over the coming decade driven by the integration of artificial intelligence, advanced analytics, and pervasive IoT connectivity.
Report Scope
In this report, the Global IIoT Platform Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global IIoT Platform Market.
Global IIoT Platform Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: