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2160898

工業IoT市場預測至2034年－全球分析（按組件、連接方式、部署模式、技術、應用、最終用戶和地區分類）

Industrial IoT Market Forecasts to 2034 - Global Analysis By Component (Hardware, Software and Services), Connectivity, Deployment, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球工業IoT(IIoT) 市場規模將達到 2,162.3 億美元，在預測期內以 9.1% 的複合年成長率成長，到 2034 年將達到 4,340.3 億美元。

工業IoT(IIoT) 指的是將互聯的感測器、機械、軟體和通訊網路整合到整個工業環境中，以收集、交換和分析運作資料。這實現了即時監控、自動化、預測性維護、資產追蹤和流程最佳化。工業IoT廣泛應用於製造業、能源和公共產業、運輸、石油和天然氣、採礦和物流等產業。透過將工業設備連接到分析工具和雲端平台，工業物聯網可以幫助企業提高生產力、減少停機時間、增強安全性、最佳化資源利用並做出數據驅動的營運決策。

工業自動化需求日益成長

工業自動化需求的不斷成長正在加速製造業和製程工業對工業IoT）的採用。互聯的機器、感測器和智慧控制系統使企業能夠實現重複性任務的自動化、監控生產流程並提高營運效率。製造商正擴大採用物聯網技術來提高生產力、減少設備停機時間並最佳化勞動力配置。與人工智慧、機器學習、邊緣運算和雲端平台的整合進一步增強了自動化決策能力。這些功能正在推動傳統基礎設施的現代化改造，並促進各行業採用互聯的工業環境。

高昂的實施和整合成本

高昂的實施和整合成本可能成為工業IoT（IIoT）應用的主要障礙，尤其對於中小企業而言更是如此。部署互聯感測器、工業閘道器、通訊基礎設施、雲端平台、網路安全解決方案和分析系統通常需要大量的初期投資。此外，企業還可能面臨系統整合、員工培訓、維護和升級舊設備等額外成本。現有機械設備與新型物聯網平台之間的相容性問題也會進一步加劇實施難度。這些財務和技術障礙會延緩數位轉型進程，並限制成本敏感型工業領域的採用。

邊緣運算技術的擴展

邊緣運算技術的擴展，使得資料處理能夠更靠近連網機器和運作環境，從而為工業IoT市場創造了巨大的機會。邊緣平台可以本地分析訊息，減少對集中式雲端基礎設施的依賴，並最大限度地降低延遲。這種能力支援製造業和其他工業應用中的即時監控、預測性維護、品管和自動化決策。 5G網路、智慧感測器和邊緣設備的日益普及，進一步推動了分散式工業架構的發展。這些進步有望促進對更快、更可靠的數據處理需求的物聯網應用的成長。

網路安全漏洞增加

日益增多的網路安全漏洞對工業IoT的部署構成重大威脅。這是因為，隨著連網裝置數量的增加，惡意活動的潛在入口點也隨之增多。工業網路擴大連接操作技術(OT) 和企業系統、雲端平台、遠端監控工具以及外部設備，從而形成了一個複雜的安全環境。針對連網機械和控制系統的網路攻擊會擾亂生產、洩漏敏感的營運資訊並帶來安全風險。安全標準不足、工業設備陳舊、門禁控制薄弱以及網路安全專業知識有限等因素進一步加劇了這種風險，促使各組織加強其防護措施。

新型冠狀病毒（COVID-19）的影響：

新冠疫情初期，由於製造業停工、供應鏈中斷、勞動力短缺以及投資項目延期等問題，工業IoT的普及應用受到阻礙。然而，隨著各組織努力減少人工干預並維持業務永續營運，疫情危機加速了對遠端監控、預測性維護、自動化和互聯營運的需求。各行各業都在擴大採用雲端平台、感測器和遠端資產管理技術來支援分散式營運。在疫情後的復甦階段，數位轉型仍在持續，工業企業更加重視提升韌性、營運視覺性、自動化和數據驅動的決策。

在預測期內，基於雲端的細分市場預計將佔據最大的市場佔有率。

預計在預測期內，基於雲端的細分市場將佔據最大的市場佔有率，這主要得益於市場對可擴展、柔軟性且經濟高效的工業IoT基礎設施日益成長的需求。雲端部署使企業能夠跨多個設施收集和分析大量營運數據，並支援遠端存取和集中管理。進階分析、人工智慧、機器學習和數位孿生技術的日益普及進一步推動了雲端整合。基礎設施需求的降低、易於擴充性以及持續的軟體更新也促進了雲端技術在工業環境中的廣泛應用。

預計製造業板塊在預測期內將呈現最高的複合年成長率。

在預測期內，製造業預計將呈現最高的成長率，這主要得益於連網設備、工業自動化、智慧感測器和即時監控解決方案在生產設施中的廣泛應用。製造商正擴大採用工業IoT，預計製造業營運整體對工業IoT的強勁需求將持續存在。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其強大的先進製造業實力、完善的技術基礎設施以及工業自動化解決方案的早期應用。互聯機械、工業感測器、雲端平台和先進的分析技術已在製造業、能源、石油天然氣和物流等產業中廣泛應用。對智慧工廠、邊緣運算、網路安全和專用5G網路的投資不斷增加，進一步推動了工業IoT在關鍵工業設施中的應用，並加速了數位轉型進程。

複合年成長率最高的地區：

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化進程、不斷擴大的製造業活動以及對智慧工廠技術投資的增加。中國、日本、印度和韓國等國家正加速推動製造業、能源、運輸和物流等產業的自動化和數位轉型。工業感測器、雲端運算、人工智慧、邊緣運算和5G連接的日益普及正在增強該地區的工業IoT生態系統。政府主導的工業現代化舉措正在進一步推動互聯互通和自動化生產環境的發展。

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所有購買此報告的客戶均可選擇以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
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  • 競爭性標竿分析
    • 根據產品系列、企業發展和策略聯盟對重點公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球工業IoT市場：依組件分類

  • 硬體
  • 軟體
  • 服務

第6章 全球工業IoT市場：連結性

  • 有線連接
  • 無線連線

第7章 全球工業IoT市場：依部署方式分類

  • 現場
  • 基於雲端的
  • 混合

第8章 全球工業IoT市場：依技術分類

  • 工業感測器
  • 工業機器人
  • 機器間通訊
  • 工業人工智慧與分析
  • 工業連接和網路
  • 邊緣運算

第9章：全球工業IoT市場：依應用分類

  • 預測性保護
  • 遠端監控
  • 資產追蹤與管理
  • 品管和檢驗
  • 流程最佳化
  • 能源管理
  • 供應鏈管理

第10章：全球工業IoT市場：依最終用戶分類

  • 製造業
  • 能源公用事業
  • 石油和天然氣
  • 採礦和金屬
  • 醫療保健和生命科學
  • 運輸/物流
  • 其他最終用戶

第11章 全球工業IoT市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • Siemens AG
  • Rockwell Automation, Inc.
  • Honeywell International Inc.
  • ABB Ltd.
  • Schneider Electric SE
  • Emerson Electric Co.
  • Cisco Systems, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • Intel Corporation
  • PTC Inc.
  • SAP SE
  • Bosch Rexroth AG
  • Huawei Technologies Co., Ltd.
  • Advantech Co., Ltd.
  • Mitsubishi Electric Corporation
Product Code: SMRC40285

According to Stratistics MRC, the Global Industrial IoT Market is accounted for $216.23 billion in 2026 and is expected to reach $434.03 billion by 2034 growing at a CAGR of 9.1% during the forecast period. Industrial IoT (IIoT) refers to the integration of connected sensors, machines, software, and communication networks across industrial environments to collect, exchange, and analyze operational data. It enables real-time monitoring, automation, predictive maintenance, asset tracking, and process optimization. Industrial IoT is widely used in manufacturing, energy and utilities, transportation, oil and gas, mining, and logistics. By connecting industrial equipment with analytics and cloud platforms, IIoT helps organizations improve productivity, reduce downtime, enhance safety, optimize resource utilization, and support data-driven operational decisions.

Market Dynamics:

Driver:

Rising demand for industrial automation

Rising demand for industrial automation is accelerating the adoption of industrial IoT across manufacturing and process industries. Connected machines, sensors, and intelligent control systems enable organizations to automate repetitive activities, monitor production processes, and improve operational efficiency. Manufacturers are increasingly deploying IoT technologies to achieve greater productivity, reduce equipment downtime, and optimize labor utilization. Integration with artificial intelligence, machine learning, edge computing, and cloud platforms further enhances automated decision-making. These capabilities are encouraging industries to modernize legacy infrastructure and adopt connected industrial environments.

Restraint:

High implementation and integration costs

High implementation and integration costs can restrict industrial iot adoption, particularly among small and medium-sized enterprises. Deploying connected sensors, industrial gateways, communication infrastructure, cloud platforms, cybersecurity solutions, and analytics systems often requires substantial initial investment. Organizations may also face additional expenses related to system integration, employee training, maintenance, and upgrading legacy equipment. Compatibility challenges between existing machinery and newer IoT platforms can further increase deployment complexity. These financial and technical barriers may delay digital transformation initiatives and limit adoption across cost-sensitive industrial sectors.

Opportunity:

Expansion of edge computing technologies

Expansion of edge computing technologies creates significant opportunities for the industrial IoT market by enabling data processing closer to connected machines and operational environments. Edge platforms can analyze information locally, reducing dependence on centralized cloud infrastructure and minimizing latency. This capability supports real-time monitoring, predictive maintenance, quality control, and automated decision-making in manufacturing and other industrial applications. Growing deployment of 5g networks, intelligent sensors, and edge-enabled devices is further supporting distributed industrial architectures. These developments can expand IoT applications requiring faster and more reliable data processing.

Threat:

Increasing cybersecurity vulnerabilities

Increasing cybersecurity vulnerabilities represent a major threat to industrial iot deployments as connected equipment expands the number of potential entry points for malicious activities. Industrial networks increasingly connect operational technology with enterprise systems, cloud platforms, remote monitoring tools, and external devices, creating complex security environments. cyberattacks targeting connected machinery or control systems can disrupt production, compromise sensitive operational information, and create safety risks. insufficient security standards, outdated industrial equipment, weak access controls, and limited cybersecurity expertise can further increase exposure, encouraging organizations to strengthen protection measures.

Covid-19 Impact:

The covid 19 pandemic initially disrupted industrial IoT deployments as manufacturing shutdowns, supply chain interruptions, workforce restrictions, and investment delays affected technology projects. However, the crisis also accelerated demand for remote monitoring, predictive maintenance, automation, and connected operations as organizations sought to reduce physical intervention and maintain business continuity. Industries increasingly adopted cloud platforms, sensors, and remote asset management technologies to support decentralized operations. Post-pandemic recovery has continued encouraging digital transformation, with industrial organizations emphasizing resilience, operational visibility, automation, and data-driven decision-making.

The cloud-based segment is expected to be the largest during the forecast period

The cloud-based segment is expected to account for the largest market share during the forecast period, driven by the increasing demand for scalable, flexible, and cost-efficient industrial IoT infrastructure. Cloud-based deployment enables organizations to collect and analyze large volumes of operational data across multiple facilities while supporting remote access and centralized management. Growing adoption of advanced analytics, artificial intelligence, machine learning, and digital twin technologies is further encouraging cloud integration. Reduced infrastructure requirements, easier scalability, and continuous software updates are also supporting greater adoption across industrial environments.

The manufacturing segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the manufacturing segment is predicted to witness the highest growth rate, due to the extensive adoption of connected equipment, industrial automation, smart sensors, and real-time monitoring solutions across production facilities. Manufacturers are increasingly implementing industrial IoT to improve production efficiency, reduce equipment downtime, enhance product quality, and optimize resource utilization. Growing adoption of predictive maintenance, digital twins, robotics, and automated quality inspection is further supporting deployment. The increasing transition toward smart factories is expected to sustain strong industrial IoT demand across manufacturing operations.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by the strong presence of advanced manufacturing industries, established technology infrastructure, and early adoption of industrial automation solutions. The region has widespread deployment of connected machinery, industrial sensors, cloud platforms, and advanced analytics across manufacturing, energy, oil and gas, and logistics. Increasing investments in smart factories, edge computing, cybersecurity, and private 5g networks are further supporting industrial IoT adoption across major industrial facilities and accelerating digital transformation initiatives.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, propelled by rapid industrialization, expanding manufacturing activities, and increasing investments in smart factory technologies. Countries including China, Japan, India, and South Korea are accelerating automation and digital transformation across manufacturing, energy, transportation, and logistics industries. Growing adoption of industrial sensors, cloud computing, artificial intelligence, edge computing, and 5g connectivity is strengthening the regional industrial IoT ecosystem. Government-led industrial modernization initiatives are further encouraging connected and automated production environments.

Key players in the market

Some of the key players in Industrial IoT Market include Siemens AG, Rockwell Automation, Inc., Honeywell International Inc., ABB Ltd., Schneider Electric SE, Emerson Electric Co., Cisco Systems, Inc., IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc., Intel Corporation, PTC Inc., SAP SE, Bosch Rexroth AG, Huawei Technologies Co., Ltd., Advantech Co., Ltd., and Mitsubishi Electric Corporation.

Key Developments:

In Sep 2026, Huawei launched its new SCALE partner support system to help partners develop, verify, launch, deliver, and operate intelligent-industry solutions. The initiative is designed to accelerate large-scale adoption of AI and connected industrial technologies across multiple sectors.

In Jul 2026, Rockwell Automation and Cisco announced a strategic collaboration to advance software-defined manufacturing in India. The companies launched a full-stack software-defined manufacturing reference design and demonstration facility, alongside a joint digital-skills initiative for manufacturing professionals.

In Jun 2026, Siemens and IFS announced a strategic partnership connecting engineering intelligence with operational asset management through industrial AI. The collaboration aims to link production planning, engineering, asset performance, and field-service capabilities across the product lifecycle.

Components Covered:

  • Hardware
  • Software
  • Services

Connectivities Covered:

  • Wired Connectivity
  • Wireless Connectivity

Deployments Covered:

  • On-Premises
  • Cloud-Based
  • Hybrid

Technologies Covered:

  • Industrial Sensors
  • Industrial Robotics
  • Machine-to-Machine Communication
  • Industrial Artificial Intelligence and Analytics
  • Industrial Connectivity and Networking
  • Edge Computing

Applications Covered:

  • Predictive Maintenance
  • Remote Monitoring
  • Asset Tracking and Management
  • Quality Control and Inspection
  • Process Optimization
  • Energy Management
  • Supply Chain and Logistics Management

End Users Covered:

  • Manufacturing
  • Energy and Utilities
  • Oil and Gas
  • Mining and Metals
  • Healthcare and Life Sciences
  • Transportation and Logistics
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Industrial IoT Market, By Component

  • 5.1 Hardware
  • 5.2 Software
  • 5.3 Services

6 Global Industrial IoT Market, By Connectivity

  • 6.1 Wired Connectivity
  • 6.2 Wireless Connectivity

7 Global Industrial IoT Market, By Deployment

  • 7.1 On-Premises
  • 7.2 Cloud-Based
  • 7.3 Hybrid

8 Global Industrial IoT Market, By Technology

  • 8.1 Industrial Sensors
  • 8.2 Industrial Robotics
  • 8.3 Machine-to-Machine Communication
  • 8.4 Industrial Artificial Intelligence and Analytics
  • 8.5 Industrial Connectivity and Networking
  • 8.6 Edge Computing

9 Global Industrial IoT Market, By Application

  • 9.1 Predictive Maintenance
  • 9.2 Remote Monitoring
  • 9.3 Asset Tracking and Management
  • 9.4 Quality Control and Inspection
  • 9.5 Process Optimization
  • 9.6 Energy Management
  • 9.7 Supply Chain Management

10 Global Industrial IoT Market, By End User

  • 10.1 Manufacturing
  • 10.2 Energy and Utilities
  • 10.3 Oil and Gas
  • 10.4 Mining and Metals
  • 10.5 Healthcare and Life Sciences
  • 10.6 Transportation and Logistics
  • 10.7 Other End Users

11 Global Industrial IoT Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Siemens AG
  • 14.2 Rockwell Automation, Inc.
  • 14.3 Honeywell International Inc.
  • 14.4 ABB Ltd.
  • 14.5 Schneider Electric SE
  • 14.6 Emerson Electric Co.
  • 14.7 Cisco Systems, Inc.
  • 14.8 IBM Corporation
  • 14.9 Microsoft Corporation
  • 14.10 Amazon Web Services, Inc.
  • 14.11 Intel Corporation
  • 14.12 PTC Inc.
  • 14.14 SAP SE
  • 14.14 Bosch Rexroth AG
  • 14.15 Huawei Technologies Co., Ltd.
  • 14.16 Advantech Co., Ltd.
  • 14.17 Mitsubishi Electric Corporation

List of Tables

  • Table 1 Global Industrial IoT Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Industrial IoT Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Industrial IoT Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global Industrial IoT Market Outlook, By Software (2023-2034) ($MN)
  • Table 5 Global Industrial IoT Market Outlook, By Services (2023-2034) ($MN)
  • Table 6 Global Industrial IoT Market Outlook, By Connectivity (2023-2034) ($MN)
  • Table 7 Global Industrial IoT Market Outlook, By Wired Connectivity (2023-2034) ($MN)
  • Table 8 Global Industrial IoT Market Outlook, By Wireless Connectivity (2023-2034) ($MN)
  • Table 9 Global Industrial IoT Market Outlook, By Deployment (2023-2034) ($MN)
  • Table 10 Global Industrial IoT Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 11 Global Industrial IoT Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 12 Global Industrial IoT Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 13 Global Industrial IoT Market Outlook, By Technology (2023-2034) ($MN)
  • Table 14 Global Industrial IoT Market Outlook, By Industrial Sensors (2023-2034) ($MN)
  • Table 15 Global Industrial IoT Market Outlook, By Industrial Robotics (2023-2034) ($MN)
  • Table 16 Global Industrial IoT Market Outlook, By Machine-to-Machine Communication (2023-2034) ($MN)
  • Table 17 Global Industrial IoT Market Outlook, By Industrial Artificial Intelligence and Analytics (2023-2034) ($MN)
  • Table 18 Global Industrial IoT Market Outlook, By Industrial Connectivity and Networking (2023-2034) ($MN)
  • Table 19 Global Industrial IoT Market Outlook, By Edge Computing (2023-2034) ($MN)
  • Table 20 Global Industrial IoT Market Outlook, By Application (2023-2034) ($MN)
  • Table 21 Global Industrial IoT Market Outlook, By Predictive Maintenance (2023-2034) ($MN)
  • Table 22 Global Industrial IoT Market Outlook, By Remote Monitoring (2023-2034) ($MN)
  • Table 23 Global Industrial IoT Market Outlook, By Asset Tracking and Management (2023-2034) ($MN)
  • Table 24 Global Industrial IoT Market Outlook, By Quality Control and Inspection (2023-2034) ($MN)
  • Table 25 Global Industrial IoT Market Outlook, By Process Optimization (2023-2034) ($MN)
  • Table 26 Global Industrial IoT Market Outlook, By Energy Management (2023-2034) ($MN)
  • Table 27 Global Industrial IoT Market Outlook, By Supply Chain Management (2023-2034) ($MN)
  • Table 28 Global Industrial IoT Market Outlook, By End User (2023-2034) ($MN)
  • Table 29 Global Industrial IoT Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 30 Global Industrial IoT Market Outlook, By Energy and Utilities (2023-2034) ($MN)
  • Table 31 Global Industrial IoT Market Outlook, By Oil and Gas (2023-2034) ($MN)
  • Table 32 Global Industrial IoT Market Outlook, By Mining and Metals (2023-2034) ($MN)
  • Table 33 Global Industrial IoT Market Outlook, By Healthcare and Life Sciences (2023-2034) ($MN)
  • Table 34 Global Industrial IoT Market Outlook, By Transportation and Logistics (2023-2034) ($MN)
  • Table 35 Global Industrial IoT Market Outlook, By Other End Users (2023-2034) ($MN)

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.