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市場調查報告書
商品編碼
2021612
工業IoT感測器和邊緣電子市場預測至2034年—按產品、連接技術、部署模式、最終用戶和地區分類的全球分析Industrial IoT Sensors and Edge Electronics Market Forecasts to 2034 - Global Analysis By Offering, Connectivity Technology, Deployment, End User and By Geography |
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根據 Stratistics MRC 的數據,預計到 2026 年,全球工業IoT感測器和邊緣電子市場規模將達到 610 億美元,並在預測期內以 11.0% 的複合年成長率成長,到 2034 年將達到 1,407 億美元。
工業IoT感測器與邊緣電子技術的結合,透過實現即時資料收集、處理和現場決策,正在革新工業環境。這些設備能夠追蹤溫度、壓力、振動和濕度等關鍵變量,而邊緣系統則在更靠近資料來源的位置處理訊息,從而降低延遲和網路負載。這種協同作用能夠提高生產效率,支援預測性維護,並增強系統可靠性。減少對集中式雲端基礎架構的依賴,可以加快回應速度並提高資料保護水準。隨著自動化和智慧工業實踐的擴展,物聯網感測技術與邊緣運算的整合對於建構高效、反應迅速且互聯互通的工業系統變得日益重要。
根據IDC發布的《2024年全球物聯網支出指南》,預計到2026年,全球物聯網(包括工業IoT)支出將超過1.1兆美元,其中製造業和生產業將佔據最大佔有率。這表明工業IoT感測器和邊緣電子設備在更廣泛的物聯網生態系統中具有巨大的規模。
即時數據處理的需求日益成長
對即時數據處理的日益重視是工業IoT感測器和邊緣電子市場發展的關鍵驅動力。各行各業越來越依賴即時洞察來提升效能、減少停機時間並提高效率。由於基於雲端的系統可能存在延遲,邊緣運算對於在資料來源附近進行快速處理至關重要。工業環境中的物聯網感測器會產生大量的連續數據,需要快速分析才能做出有效的決策。邊緣電子技術能夠實現現場資料過濾和處理,從而提高響應速度。這種對即時、數據驅動型營運的強烈需求正在推動先進的物聯網感測和邊緣運算解決方案的廣泛應用。
與舊有系統整合的複雜性
工業IoT感測器和邊緣電子設備與傳統基礎設施整合的難度是限制市場成長的主要障礙。許多行業依賴過時的系統,這些系統與最新的物聯網連接和邊緣運算功能缺乏相容性。實現新設備與現有設備之間的無縫互通性通常需要大規模製化、中介軟體解決方案和系統增強,這增加了部署的技術難度和財務負擔。此外,對過渡期間可能中斷運作中營運的擔憂也阻礙了企業採用這些技術。
智慧城市和基礎設施擴建
智慧城市和現代基礎設施的進步為工業IoT感測器和邊緣電子市場帶來了巨大的成長機會。城市管理部門正日益部署智慧解決方案,以監控和管理交通、能源使用、廢棄物管理和公共安全等領域。物聯網感測器持續從城市系統中收集數據,邊緣電子元件則在數據來源附近分析這些數據,從而實現快速響應。這提高了城市環境的效率和服務交付水準。隨著全球對智慧基礎設施專案投資的不斷增加,對先進物聯網感測和邊緣運算技術的需求預計將顯著成長。
網路安全威脅日益加劇,攻擊手段也日益複雜。
日益嚴峻的網路安全風險和不斷湧現的複雜網路攻擊對工業IoT感測器和邊緣電子市場構成重大威脅。工業環境中日益增強的連結性帶來了許多漏洞,惡意攻擊者可利用這些漏洞進行攻擊。這些攻擊可能導致資料外洩、營運中斷或安全隱患。儘管邊緣運算分散了資料處理,但如果設備保護不足,安全隱患依然存在。企業被迫加強網路安全防護,這增加了複雜性和成本。持續存在的安全挑戰會阻礙邊緣運算的普及應用,尤其是在涉及高度敏感操作的領域,最終影響整個市場的成長。
新冠疫情對工業IoT感測器和邊緣電子市場產生了積極和消極的雙重影響。初期,供應鏈中斷、生產停滯和投資減少阻礙了市場擴張。由於財務不確定性,企業推遲或縮減了數位轉型計畫。然而,疫情也促使企業更加重視自動化、遠端操作和預測性維護,以在人員有限的情況下維持營運效率。物聯網感測器和邊緣運算實現了即時監控和現場決策,增強了營運韌性。隨著企業適應疫情帶來的變化,這些技術的應用加速,推動了市場復甦與未來的永續發展。
在預測期內,混合邊緣雲端細分市場預計將佔據最大佔有率。
混合邊緣雲端方案預計將在預測期內佔據最大的市場佔有率,因為它有效地整合了邊緣和雲端技術的優勢。此方案既能在資料來源附近進行即時資料處理,又能同時利用雲端基礎架構進行更深入的分析、儲存和集中監控。這種組合為工業環境提供了更高的柔軟性、擴充性和營運效率。企業可以享受低延遲、強大的資料保護和高效率的資源利用率等優勢。對於尋求最佳效能和管理的組織而言,混合方案是理想之選,因為它能夠應對複雜的流程,並實現跨多個系統的無縫連接。
在預測期內,醫療保健產業預計將呈現最高的複合年成長率。
在預測期內,醫療保健產業預計將呈現最高的成長率,這主要得益於互聯醫療技術和即時監測系統的日益普及。醫療機構擴大使用物聯網感測器進行患者追蹤、資產管理和最佳化營運流程。邊緣運算能夠實現資料來源的快速分析,這對於時間敏感型醫療應用至關重要。遠端醫療、遠距護理和智慧醫療系統的擴展正在推動市場需求。隨著人們對數位化醫療和先進診斷能力的日益關注,該行業正成為市場成長的主要驅動力。
在整個預測期內,北美預計將保持最大的市場佔有率。這主要歸功於其成熟的技術生態系統和對數位轉型的早期應用。該地區匯集了許多大型科技公司,並在自動化和智慧製造解決方案領域投入大量資金。製造業、能源和醫療保健等關鍵產業正在積極採用物聯網感測器和邊緣運算技術,以改善營運並促進數據驅動的決策。政府的支持政策和強大的研發實力正在支持這一領域的持續擴張。
在預測期內,亞太地區預計將呈現最高的複合年成長率,這主要得益於快速的工業成長、自動化技術的進步以及智慧製造解決方案的普及。中國、印度和日本等主要經濟體正在大力投資工業4.0計畫和數位基礎設施。製造業、能源和醫療保健等成長型產業正在利用物聯網感測器和邊緣運算技術進行即時監控、預測性維護和提高營運效率。政府支持、技術創新和不斷成長的工業支出正在推動這一成長,使亞太地區成為全球工業IoT感測器和邊緣電子市場成長最快的地區。
According to Stratistics MRC, the Global Industrial IoT Sensors and Edge Electronics Market is accounted for $61.0 billion in 2026 and is expected to reach $140.7 billion by 2034 growing at a CAGR of 11.0% during the forecast period. Industrial IoT sensors paired with edge electronics are revolutionizing industrial environments by facilitating immediate data acquisition, processing, and localized decision-making. These devices track critical variables like temperature, pressure, vibration, and moisture, while edge systems process information near the data source, lowering delays and network load. This synergy improves productivity, supports predictive upkeep, and strengthens system dependability. Reducing reliance on centralized cloud infrastructure allows quicker actions and enhances data protection. With the rise of automation and smart industry practices, integrating IoT sensing technologies with edge computing is increasingly vital for building efficient, responsive, and interconnected industrial systems.
According to IDC (Global IoT Spending Guide, 2024), Worldwide spending on IoT (including industrial IoT) is forecast to surpass USD 1.1 trillion by 2026, with manufacturing and production industries accounting for the largest share. This demonstrates the authoritative scale of Industrial IoT Sensors and Edge Electronics within the broader IoT ecosystem.
Rising demand for real-time data processing
The growing emphasis on real-time data handling is a key factor boosting the Industrial IoT sensors and edge electronics market. Industries increasingly depend on immediate insights to improve performance, minimize downtime, and boost efficiency. Cloud-based systems can introduce delays, which makes edge computing crucial for rapid processing near the data source. IoT sensors in industrial settings generate large amounts of continuous data that require swift analysis for effective decision-making. Edge electronics enable localized data filtering and processing, enhancing responsiveness. This strong need for instant, data-driven operations is driving the widespread implementation of advanced IoT sensing and edge computing solutions.
Complexity of integration with legacy systems
The difficulty of integrating Industrial IoT sensors and edge electronics with legacy infrastructure is a significant barrier to market growth. Many industries rely on older systems that lack compatibility with modern IoT connectivity and edge computing capabilities. Achieving smooth interoperability between new devices and existing equipment often demands extensive customization, middleware solutions, and system enhancements. This increases both the technical challenges and financial burden of implementation. Concerns about potential disruptions to ongoing operations during the transition also deter organizations from adopting these technologies.
Expansion of smart cities and infrastructure
The growing advancement of smart cities and modern infrastructure offers a major growth opportunity for the Industrial IoT sensors and edge electronics market. Urban authorities are increasingly implementing intelligent solutions to monitor and manage areas such as transportation, energy use, waste handling, and public security. IoT sensors gather continuous data from city systems, and edge electronics analyze it near the source to enable quick responses. This improves efficiency and service delivery in urban settings. With rising global investments in smart infrastructure projects, the need for sophisticated IoT sensing and edge computing technologies is expected to expand significantly.
Increasing cybersecurity threats and sophisticated attacks
Growing cybersecurity risks and the emergence of more advanced cyberattacks represent a significant threat to the Industrial IoT sensors and edge electronics market. Increased connectivity across industrial environments opens up numerous vulnerabilities that malicious actors can exploit. These attacks may lead to data breaches, operational disruptions, or safety hazards. While edge computing distributes data processing, it does not eliminate security concerns if devices are inadequately protected. Companies are required to strengthen their cybersecurity frameworks, adding to complexity and costs. Ongoing security challenges can discourage adoption, especially in sectors handling sensitive operations, thereby impacting the overall expansion of the market.
The COVID-19 outbreak had both negative and positive effects on the Industrial IoT sensors and edge electronics market. In the early stages, supply chain interruptions, production halts, and decreased investments hindered market expansion. Companies delayed or reduced digital initiatives due to financial uncertainties. Despite this, the crisis boosted the need for automation, remote operations, and predictive maintenance to maintain efficiency with limited workforce presence. IoT sensors and edge computing facilitated real-time monitoring and localized decision-making, enhancing operational resilience. As businesses adjusted to pandemic-driven changes, the adoption of these technologies grew, contributing to market recovery and sustained future development.
The hybrid edge-cloud segment is expected to be the largest during the forecast period
The hybrid edge-cloud segment is expected to account for the largest market share during the forecast period as it effectively integrates the advantages of both edge and cloud technologies. It allows immediate data processing near the source while utilizing cloud infrastructure for deeper analysis, storage, and centralized oversight. This combination offers greater flexibility, scalability, and operational effectiveness for industrial environments. Businesses gain from lower latency, stronger data protection, and efficient use of resources. The hybrid approach accommodates complex processes and enables smooth connectivity across multiple systems, making it a favoured solution for organizations aiming to achieve optimal performance and management.
The healthcare segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the healthcare segment is predicted to witness the highest growth rate, driven by the rising use of connected medical technologies and real-time monitoring systems. Healthcare facilities are increasingly utilizing IoT sensors for tracking patients, managing assets, and improving operational workflows. Edge computing allows quick data analysis at the source, which is essential for time-sensitive medical applications. The expansion of telemedicine, remote care, and smart healthcare systems is boosting demand. With increasing emphasis on digital healthcare and advanced diagnostic capabilities, this sector is emerging as a key contributor to market growth.
During the forecast period, the North America region is expected to hold the largest market share, primarily due to its well-established technological ecosystem and early embrace of digital transformation. The region is home to major technology firms and sees significant investment in automation and smart manufacturing solutions. Key industries, including manufacturing, energy, and healthcare, aктивнo adopt IoT sensors and edge technologies to improve operations and data-driven decisions. Favorable government policies and strong research and development efforts support continued expansion.
Over the forecast period, the Asia-Pacific region is anticipated to exhibit the highest CAGR due to rapid industrial growth, increasing automation, and the adoption of smart manufacturing solutions. Major economies, including China, India, and Japan, are making substantial investments in Industry 4.0 initiatives and digital infrastructure. Expanding sectors like manufacturing, energy, and healthcare are utilizing IoT sensors and edge computing for real-time monitoring, predictive maintenance, and operational efficiency. Government support, technological innovation, and increased industrial spending are driving this growth, making Asia-Pacific the fastest-growing region in the global Industrial IoT sensors and edge electronics market.
Key players in the market
Some of the key players in Industrial IoT Sensors and Edge Electronics Market include Texas Instruments, TE Connectivity, Broadcom, NXP Semiconductors, STMicroelectronics, Hewlett Packard Enterprise (HPE), IBM, Dell Technologies, Moxa Inc., ADLINK Technology, Digi International, Intel Corporation, Siemens AG, ABB Ltd., Bosch, Cisco, Advantech Co., Ltd. and Rockwell Automation.
In February 2026, STMicroelectronics (STM) unveiled an expanded multi-year, multi-billion-dollar collaboration with Amazon Web Services (AMZN), spanning multiple product lines, including a warrant issuance to AWS for up to 24.8 million ST shares. The collaboration establishes STMicroelectronics (STM) as a strategic supplier of advanced semiconductor technologies and products that AWS integrates into its compute infrastructure.
In December 2025, Dell Technologies is acquiring the Israeli company Dataloop AI for $120 million in an all-cash deal, Calcalist has learned. The deal marks a significant strategic step for the American computing giant, which in recent years has expanded its investments in artificial intelligence and is building end-to-end AI infrastructure solutions for corporate customers.
In February 2025, NXP Semiconductors has acquired AI chip startup Kinara in a $307 million all-cash agreement. NXP said the acquisition would enable it to "enhance and strengthen" its ability to provide scalable AI platforms by combining Kinara's NPUs and AI software with NXP's solutions portfolio. Kinara develops programmable neural processing units (NPUs) for Edge AI applications, including multi-modal generative AI models.
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.