查看購物車
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1917912

物聯網在化工產業的應用－2026-2031年預測

IoT in Chemical Industry Market - Forecast from 2026 to 2031
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 148 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

預計化學工業的物聯網市場將以 9.6% 的複合年成長率成長，從 2025 年的 923.26 億美元成長到 2031 年的 1,600.51 億美元。

化學工業物聯網 (IoT) 市場代表感測器網路、連接性和數據分析的創新性整合，旨在最佳化複雜且資本密集的生產流程。透過在從反應器和儲存槽到管道和成品處理等整個價值鏈中嵌入感測器，化學製造商能夠即時了解運行參數。這種互聯互通的生態系統能夠實現從營運績效到預測性和指導性營運的轉變，從而提升效率、安全性、品質和資產利用率。市場成長的驅動力在於，在競爭激烈且監管嚴格的環境下，業界迫切需要卓越營運、預測性維護、強化安全通訊協定和嚴格的品質保證。

物聯網應用的關鍵促進因素之一是對預測性維護的強烈需求，以確保資產可靠性並最大限度地減少非計劃性停機時間。化工廠運作老舊、複雜且至關重要的設備，這些設備的故障會帶來重大的安全風險和生產損失。物聯網感測器持續監測設備的健康指標，例如振動、溫度、壓力和流量。透過將機器學習演算法應用於這些即時資料流，操作人員可以檢測到設備劣化或異常行為的早期徵兆，並在故障發生之前進行預測。這種預測能力支持計劃性、基於狀態的維護，從而顯著減少代價高昂的緊急停機，延長資產壽命，並提高工廠的整體運轉率。

物聯網技術從根本上提升了營運智慧和品質保證水準。化工製造會產生海量的製程數據，而這些數據歷來未充分利用。物聯網平台能夠對這些數據進行聚合、關聯化和即時分析，涵蓋整個生產生命週期。透過整合來自不同系統的數據，企業可以進行高階分析，從而最佳化程式參數、識別變數之間的關聯性並確保產品品質的穩定性。這種數據驅動的洞察力能夠更有效地控制批次生產過程，降低變異性，最大限度地減少廢棄物和返工，並支持持續改進活動，從而直接提升產量和盈利。

化工生產流程固有的複雜性和風險性，使得物聯網賦能的監控和控制變得特別重要。涉及極端溫度、壓力和反應性物質的製程需要精確、持續的監控。物聯網感測器能夠提供關鍵製程變數（例如 pH 值、化學成分和反應器條件）的詳細即時數據，從而實現效率和安全性的動態最佳化。這種能力支持先進的工藝控制策略，確保工藝流程在安全限度內運行，並提供全面的數位化審核追蹤，以滿足法規遵從性和品質文件的要求。

物聯網賦能的遠端監控功能正在革新工廠管理與安全。透過連網的感測器和攝影機，工程師和管理人員可以從中央控制室或遠端位置監控設施狀況、設備狀態和環境參數。這不僅減少了高風險區域的人員配置，增強了異常情況下的態勢感知能力，還能讓世界各地的專家提供故障排除支援。遠端監控透過提供工廠健康狀況的統一視圖，縮短了事件回應時間，支援更有效率的人員配置，並提高了整體生產效率。

石油化學工業，尤其是其大規模一體化聯合裝置，是物聯網的關鍵應用領域。物聯網解決方案正被部署用於在龐大的基礎設施中進行高級數據採集，從而實現能源利用、材料效率和供應鏈物流的全面最佳化。應用實例包括：利用深度學習視覺系統進行產品檢測、監測火炬塔排放是否排放以及對龐大的管網進行健康狀況追蹤。

從區域來看，北美是關鍵市場，其特點是擁有龐大的化學企業群體、早期技術採用者，並且高度重視營運效率和安全文化。主要技術供應商的存在以及成熟的工業自動化生態系統正在進一步加速該地區的物聯網整合。

市場成長的主要阻礙因素是日益成長的網路安全風險，而網路安全風險的增加又與連接性的增強密切相關。化工廠由於可能發生營運中斷、安全事故和智慧財產權盜竊，因此是網路攻擊的高價值目標。透過物聯網將傳統上相互隔離的操作技術(OT) 網路連接到 IT 系統和雲端，會擴大攻擊面。確保強大的網路安全，包括網路分段、加密、存取控制和持續威脅監控，是採用物聯網的先決條件，這也增加了實施的複雜性和成本。

競爭格局包括工業自動化巨頭、專業的工業IoT軟體供應商和雲端平台公司。成功的解決方案需要強大的工業硬體、安全可靠的連接、針對化學製程的強大分析能力，以及與現有分散式控制系統 (DCS) 和業務線計劃 (ERP) 軟體的無縫整合。

總之，物聯網在化工產業的市場正從先導計畫走向成熟，成為數位轉型策略的核心要素。其提案在於將營運數據轉化為可執行的洞察，從而實現預測性維護、流程最佳化和安全性提升。未來的發展將受到以下因素的影響：人工智慧在自主決策中的應用、數位雙胞胎在流程模擬和培訓中的興起，以及為簡化多供應商部署而製定的互通性標準。隨著化學工業面臨獲利能力、安全性和永續性的壓力，物聯網已成為建立未來敏捷、高效且具韌性的化工廠的關鍵基礎技術。

本報告的主要優勢：

  • 深入分析：提供對主要和新興地區的深入市場洞察，重點關注客戶群、政府政策和社會經濟因素、消費者偏好、行業垂直領域和其他細分市場。
  • 競爭格局：了解全球主要企業的策略舉措，並了解透過正確的策略實現市場滲透的潛力。
  • 市場促進因素與未來趨勢：探索推動市場的動態因素和關鍵趨勢，以及它們將如何塑造未來的市場發展。
  • 可操作的建議：利用這些見解，在動態環境中做出策略決策，並開拓新的商機和收入來源。
  • 受眾廣泛：適用於Start-Ups、研究機構、顧問公司、中小企業和大型企業，且經濟實惠。

本報告的使用範例

產業與市場分析、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法規結構及影響、新產品開發、競爭情報

報告範圍：

  • 2021年至2025年的歷史數據和2026年至2031年的預測數據
  • 成長機會、挑戰、供應鏈前景、法規結構與趨勢分析
  • 競爭定位、策略和市場佔有率分析
  • 按業務板塊和地區（包括國家）分類的收入和預測評估
  • 公司概況（策略、產品、財務資訊、關鍵發展等）

目錄

第1章執行摘要

第2章 市場概覽

  • 市場概覽
  • 市場定義
  • 調查範圍
  • 市場區隔

第3章 商業情境

  • 市場促進因素
  • 市場限制
  • 市場機遇
  • 波特五力分析
  • 產業價值鏈分析
  • 政策與法規
  • 策略建議

第4章 技術展望

第5章 化工產業物聯網市場（依技術分類）

  • 介紹
  • 機器視覺
  • 3D列印
  • 數位雙胞胎
  • 工廠資產管理
  • 製造執行系統
  • 分散式控制系統
  • 工業機器人
  • 巨量資料
  • 人工智慧
  • 其他

第6章 化工產業物聯網市場（依化工細分市場分類）

  • 介紹
  • 礦業
  • 食品/飲料
  • 石油化工
  • 聚合物
  • 肥料
  • 紙漿和造紙
  • 其他

7. 各地區化工產業物聯網市場

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 其他
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 其他
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 印尼
    • 泰國
    • 其他

第8章 競爭格局與分析

  • 主要企業和策略分析
  • 市佔率分析
  • 合併、收購、協議和合作
  • 競爭對手儀錶板

第9章：公司簡介

  • Siemens AG
  • General Electric Company（GE）
  • Honeywell International Inc.
  • Cisco Systems, Inc.
  • Intel Corporation
  • SAP SE
  • IBM Corporation
  • Schneider Electric SE
  • Rockwell Automation, Inc.
  • Yokogawa Electric Corporation

第10章附錄

  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要收益
  • 調查方法
  • 簡稱
簡介目錄
Product Code: KSI061615835

The IoT in chemical industry market, with a 9.6% CAGR, is expected to grow to USD 160.051 billion in 2031 from USD 92.326 billion in 2025.

The Internet of Things (IoT) market within the chemical industry represents a transformative integration of sensor networks, connectivity, and data analytics to optimize complex and capital-intensive production processes. By embedding sensors across the value chain-from reactors and storage tanks to pipelines and finished product handling-chemical manufacturers gain real-time visibility into operational parameters. This connected ecosystem enables the shift from reactive to predictive and prescriptive operations, driving gains in efficiency, safety, quality, and asset utilization. The market's growth is propelled by the industry's urgent need for operational excellence, predictive maintenance, enhanced safety protocols, and stringent quality assurance in a competitive and regulated environment.

A primary driver for IoT adoption is the compelling demand for predictive maintenance to ensure asset reliability and minimize unplanned downtime. Chemical plants operate with aging, complex, and critical equipment where failures carry significant safety risks and production losses. IoT sensors continuously monitor equipment health indicators such as vibration, temperature, pressure, and flow rates. By applying machine learning algorithms to this real-time data stream, operators can detect early signs of equipment degradation or abnormal performance, forecasting failures before they occur. This predictive capability allows for scheduled, condition-based maintenance, dramatically reducing costly emergency shutdowns, extending asset life, and improving overall plant availability.

IoT technology is fundamentally enhancing operational intelligence and quality assurance. Chemical manufacturing generates vast volumes of process data that have historically been underutilized. IoT platforms enable the aggregation, contextualization, and real-time analysis of this data across the entire production lifecycle. By federating data from disparate systems, companies can perform advanced analytics to optimize process parameters, identify correlations between variables, and ensure consistent product quality. This data-driven intelligence allows for tighter control over batch processes, reduces variability, minimizes waste and rework, and supports continuous improvement initiatives, directly impacting yield and profitability.

The intrinsic complexity and hazard profile of chemical production processes create a powerful imperative for IoT-enabled monitoring and control. Processes involving extreme temperatures, pressures, and reactive substances require precise, constant oversight. IoT sensors provide granular, real-time data on critical process variables (e.g., pH, chemical composition, reactor conditions), enabling dynamic optimization for efficiency and safety. This capability supports advanced process control strategies, ensures operations remain within safe operating limits, and provides a comprehensive digital audit trail for regulatory compliance and quality documentation.

Remote monitoring capabilities, enabled by IoT, are revolutionizing plant management and safety. Connected sensors and cameras allow engineers and supervisors to monitor facility conditions, equipment status, and environmental parameters from centralized control rooms or off-site locations. This reduces the need for personnel in high-risk areas, enhances situational awareness during upsets, and enables expert support for troubleshooting from anywhere in the world. Remote monitoring improves response times to incidents, supports leaner staffing models, and boosts overall productivity by providing a unified view of plant health.

The petrochemical sector, with its vast, integrated complexes, represents a particularly significant application area. IoT solutions are deployed for advanced data collection across sprawling infrastructures, enabling holistic optimization of energy use, feedstock efficiency, and supply chain logistics. Applications include using vision systems with deep learning for product inspection, monitoring flare stacks for emissions compliance, and tracking the integrity of extensive pipeline networks.

Geographically, North America is a leading market, characterized by a large base of chemical manufacturers, early technology adoption, and a strong focus on operational efficiency and safety culture. The presence of major technology providers and a mature industrial automation ecosystem further accelerates IoT integration in this region.

A major restraint on market growth is the heightened cybersecurity risk associated with increased connectivity. Chemical plants are high-value targets for cyberattacks due to the potential for operational disruption, safety incidents, and theft of intellectual property. Connecting historically isolated operational technology (OT) networks to IT systems and the cloud via IoT expands the attack surface. Ensuring robust cybersecurity-including network segmentation, encryption, access controls, and continuous threat monitoring-is a non-negotiable prerequisite for IoT deployment, adding complexity and cost to implementations.

The competitive landscape features industrial automation giants, specialized industrial IoT software providers, and cloud platform companies. Successful solutions must offer robust industrial-grade hardware, secure and reliable connectivity, powerful analytics tailored to chemical processes, and seamless integration with existing distributed control systems (DCS) and enterprise resource planning (ERP) software.

In conclusion, the IoT market in the chemical industry is moving beyond pilot projects to become a core component of digital transformation strategies. Its value proposition lies in converting operational data into actionable intelligence for predictive maintenance, process optimization, and enhanced safety. Future development will be shaped by the integration of artificial intelligence for autonomous decision-making, the rise of digital twins for process simulation and training, and the need for interoperable standards to simplify multi-vendor deployments. As the industry faces pressures on margins, safety, and sustainability, IoT stands as a critical enabling technology for building the agile, efficient, and resilient chemical plants of the future.

Key Benefits of this Report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data from 2021 to 2025 & forecast data from 2026 to 2031
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information), and Key Developments among others.

IoT in Chemical Industry Market Segmentation

  • By Technology
  • Machine Vision
  • 3D Printing
  • Digital Twin
  • Plant Asset Management
  • Manufacturing Execution System
  • Distributed Control Systems
  • Industrial Robotics
  • Big Data
  • Artificial Intelligence
  • Others
  • By Chemical Vertical
  • Mining
  • Food and Beverages
  • Petrochemicals
  • Polymers
  • Fertilizers
  • Paper and Pulp
  • Others
  • By Geography
  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

  • 2.1. Market Overview
  • 2.2. Market Definition
  • 2.3. Scope of the Study
  • 2.4. Market Segmentation

3. BUSINESS LANDSCAPE

  • 3.1. Market Drivers
  • 3.2. Market Restraints
  • 3.3. Market Opportunities
  • 3.4. Porter's Five Forces Analysis
  • 3.5. Industry Value Chain Analysis
  • 3.6. Policies and Regulations
  • 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. IOT IN CHEMICAL INDUSTRY MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Machine Vision
  • 5.3. 3D printing
  • 5.4. Digital Twin
  • 5.5. Plant Asset Management
  • 5.6. Manufacturing Execution System
  • 5.7. Distributed Control Systems
  • 5.8. Industrial Robotics
  • 5.9. Big Data
  • 5.10. Artificial Intelligence
  • 5.11. Others

6. IOT IN CHEMICAL INDUSTRY MARKET BY CHEMICAL VERTICAL

  • 6.1. Introduction
  • 6.2. Mining
  • 6.3. Food and beverages
  • 6.4. Petrochemicals
  • 6.5. Polymers
  • 6.6. Fertilizers
  • 6.7. Paper and pulp
  • 6.8. Others

7. IOT IN CHEMICAL INDUSTRY MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. USA
    • 7.2.2. Canada
    • 7.2.3. Mexico
  • 7.3. South America
    • 7.3.1. Brazil
    • 7.3.2. Argentina
    • 7.3.3. Others
  • 7.4. Europe
    • 7.4.1. Germany
    • 7.4.2. France
    • 7.4.3. United Kingdom
    • 7.4.4. Spain
    • 7.4.5. Others
  • 7.5. Middle East and Africa
    • 7.5.1. Saudi Arabia
    • 7.5.2. UAE
    • 7.5.3. Others
  • 7.6. Asia Pacific
    • 7.6.1. China
    • 7.6.2. India
    • 7.6.3. Japan
    • 7.6.4. South Korea
    • 7.6.5. Indonesia
    • 7.6.6. Thailand
    • 7.6.7. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. Siemens AG
  • 9.2. General Electric Company (GE)
  • 9.3. Honeywell International Inc.
  • 9.4. Cisco Systems, Inc.
  • 9.5. Intel Corporation
  • 9.6. SAP SE
  • 9.7. IBM Corporation
  • 9.8. Schneider Electric SE
  • 9.9. Rockwell Automation, Inc.
  • 9.10. Yokogawa Electric Corporation

10. APPENDIX

  • 10.1. Currency
  • 10.2. Assumptions
  • 10.3. Base and Forecast Years Timeline
  • 10.4. Key Benefits for the Stakeholders
  • 10.5. Research Methodology
  • 10.6. Abbreviations