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全球工業產業物聯網市場：預測（2023-2028）
市場調查報告書
商品編碼
1410166

全球工業產業物聯網市場：預測（2023-2028）

IoT in Chemical Industry Market - Forecasts from 2023 to 2028
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

全球化工產業物聯網市場規模預計在預測期內將以 13.14% 的複合年成長率成長。

物聯網感測器用於化學工業的物聯網應用，以即時監控化學過程。因此，生產過程得到更好的控制和最佳化，從而提高品質、提高效率並降低成本。例如，物聯網感測器可以追蹤化學反應器中的溫度、壓力和 pH 值等參數。透過即時收集和分析這些資料，操作員可以最佳化製程條件並避免可能導致生產問題的波動。

化工產業對預測性維護的需求不斷成長

隨著化學設備老化並變得更加複雜，設備故障和停機的成本急劇增加。為了確保設備可靠性並減少停機時間，化學工業使用即時資料來預測設備何時可能發生故障，並主動採取措施防止其發生，我們依靠預測性維護。化工產業的預測性維護依賴物聯網技術。例如，物聯網感測器可以檢查化學反應器中的溫度和壓力，追蹤泵浦和馬達中的振動水平以及管道中的洩漏。

營運情報和品質保證

化學公司在生產過程中產生大量資料，但通常只有一部分數據用於增強決策和創造價值。公司可以透過組合資料、即時分析數據並協作智慧型決策的結果來提高營運、安全和環境績效。能夠快速分析大量資料可以增強您的流程和品質保證。為了保持製程品質和控制，許多化學公司專注於最後 30 批次的原料。許多公司可以檢查整個組織的批次結果，並使用更大的資料集來修改操作參數並提高品質。

對化學製造流程的高要求

化學產品的複雜製造過程需要精確的監控和控制，以確保品質、安全和效率。透過提供溫度、壓力和化學成分的即時資料，物聯網技術可以幫助化學產業最佳化製造營運。這些資料可用於透過提高效率和消除浪費來最佳化生產流程。為了確保所生產產品的安全性和可行性，化學工業需要遵守更嚴格的監管標準。物聯網技術可以監控環境條件和化學品生產過程，增加物聯網在化學產業的市場佔有率。

遠端監控需求不斷成長

物聯網 (IoT) 作為遠端製程監控和操作監控的工具廣泛應用於化學產業。利用這項技術，公司可以在世界任何地方監控其設施和機械，從而減少發生事故的可能性並提高生產力。物聯網感測器可用於監測泵浦、閥門和反應器等設備的運作狀況。這些資料可用於在潛在問題導致事故或故障之前發現它們，這正在推動化學行業的物聯網市場。

石化產業需求旺盛

物聯網技術在傳統石油石化產業中頻繁使用，提供先進的資料擷取解決方案，不僅有利於石油產業資訊基礎設施的發展，還能降低成本、提高效率，滿足業務需求。此外，該公司現在正在將攝影機涵蓋高吸水性聚合物 (SAP) 的製造過程中，並使用深度學習演算法從影片中學習行為。這有助於防止與異物相關的生產線停機，並提高產品檢查的有效性。

北美佔有很大佔有率

預計在預測期內，北美將引領化學工業市場的物聯網。該地區是化學工業物聯網解決方案極其重要的市場，因為它是許多生產化學產品的公司的所在地，並以最早採用最尖端科技的公司之一而聞名。美國在該地區擁有最大的市場佔有率。這種擴張是由於化學公司擴大採用物聯網解決方案來提高業務的整體生產力和效率。然而，市場是動態的，未來可能會因各種原因而發生變化，包括經濟狀況、技術進步和監管規則。

網路安全疑慮抑制市場成長

依賴傳輸和保留大量資料的物聯網系統可能容易受到駭客的攻擊。化學工業的網路安全問題可能會嚴重阻礙物聯網技術的採用，而違規可能會產生重大影響。由於其業務的敏感性和違規的潛在後果，化學行業特別容易受到網路攻擊，使其成為駭客的高價值目標。網路攻擊可能會損害關鍵資料、擾亂業務並使員工和鄰居的安全面臨風險。為了減輕這些擔憂，化學公司需要確保其物聯網解決方案在開發時考慮安全性。

市場產品推出

  • 2022年10月，西門子化工數位化企業套件是跨國科技公司西門子為化學產業提供的物聯網解決方案之一。該套件使價值鏈的每一步（從生產計畫到維護和服務實施）數位化成為可能。
  • 2021年3月，領先的化學品製造商BASF與物聯網平台供應商Litmus Automation合作，建構化學品生產數位化系統。該技術提高了營運效率並允許持續監控生產營運。
  • 2021 年 2 月，跨國公司Honeywell宣布推出適用於化學產業的 Sentience 工業物聯網 (IIoT) 系統。該平台提供持續追蹤和預測分析，以改善製造流程並減少停機時間。

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表

第2章調查方法

  • 調查資料
  • 先決條件

第3章執行摘要

  • 研究亮點

第4章市場動態

  • 市場促進因素
  • 市場抑制因素
  • 波特五力分析
  • 產業價值鏈分析

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
  • 集散控制系統
  • 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：依化學工業分類

  • 介紹
  • 礦業
  • 食品和飲料
  • 石化產品
  • 聚合物
  • 肥料
  • 紙漿
  • 其他

第7章 化工產業物聯網市場：依地區

  • 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/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 以色列
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 印尼
    • 台灣
    • 其他

第8章競爭環境及分析

  • 主要企業及策略分析
  • 新興企業和市場盈利
  • 併購/協議/合作
  • 供應商競爭力矩陣

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
簡介目錄
Product Code: KSI061615835

The IoT in chemical industry market is estimated to grow at a CAGR of 13.14% during the forecast period.

IoT sensors are used in IoT applications in the chemical industry to monitor chemical processes in real-time. As a result, production processes can be better controlled and optimized, leading to improved quality, higher efficiency, and lower costs. IoT sensors, for instance, may track parameters in chemical reactors including temperature, pressure, and pH levels. Operators can optimize process conditions and avoid variations that could cause production problems by collecting and analyzing this data in real time.

Rising demand for predictive maintenance in the chemical industry

The expense of breakdowns in equipment and downtime has increased dramatically as chemical facilities have aged and gotten more complicated. Chemical industries have resorted and predictive maintenance, which is using real-time data to forecast when equipment is likely to break and proactively taking steps to avoid that failure from occurring, to assure equipment reliability and reduce downtime. Predictive maintenance in the chemical industry depends on IoT technologies. For instance, IoT sensors may check temperature and pressure in chemical reactors as well as track vibration levels in pumps and motors and pipeline leaks.

Operational intelligence and quality assurance

Chemical companies produce large amounts of data throughout production, but typically only use a small portion of it to enhance decision-making and provide value. Companies may enhance operational, safety, and environmental performance by combining the data, doing real-time analysis of it, and federating the results for intelligent decision-making. Processes and quality assurance can be enhanced by having the ability to quickly analyze vast amounts of data. To maintain process quality and controllability, a lot of chemical businesses concentrate on the last 30 batches of materials. Numerous businesses can examine batch outcomes throughout the entire organisation and use the larger data set to alter operational parameters and raise quality.

High demand for the chemical production process

To assure quality, safety, and efficiency during the complicated process of producing chemicals, exact monitoring and control are necessary. By delivering real-time data on temperature, pressure, and chemical composition, IoT technology can assist chemical industries in optimizing manufacturing operations. By using this data to improve efficiency and reduce waste, the production process can be optimized. To guarantee the safety and potential of the products manufactured, the chemical sector is additionally subject to stringent regulatory standards. IoT technology can keep an eye on environmental conditions and chemical production processes which increases the IoT in chemical industry market share.

Rising demand for remote monitoring

The chemical industry has made extensive use of the Internet of Things (IoT) as a tool for remote process and operation monitoring. With the use of this technology, businesses can keep an eye on their facilities and machinery from anywhere in the world, which can lower the likelihood of accidents and boost productivity. IoT sensors can be used to keep an eye on the health of equipment like pumps, valves, and reactors. Potential issues can be found using this data before they result in an accident or breakdown, which will in turn drive the IoT in Chemical Industry market.

High demand in the petrochemical industry

IoT technology is frequently utilised to provide cutting-edge data-gathering solutions in the traditional petroleum and petrochemical industry to satisfy the growth of the oil industry's information infrastructure as well as the needs of the business for cost reduction and efficiency advancement. Additionally, businesses now incorporate cameras into their super absorbent polymer (SAP) manufacturing processes, where a deep-learning algorithm is used to learn behaviours from moving images. This is assisting with foreign substance-related production line shutdowns and improving the effectiveness of product inspection.

North America holds a significant share of the market.

During the projected period, the North American region is anticipated to lead the IoT in Chemical Industry market. The region is a crucial market for IoT solutions in the chemical sector since it has a large number of businesses that manufacture chemicals and is renowned for adopting cutting-edge technology early. With the biggest market share in this region, the United States is the dominant nation. The expansion is attributable to chemical firms' growing embrace of IoT solutions to increase the general productivity and efficiency of their operations. The market is dynamic, though, and is likely to alter in the future due to a variety of reasons, including economic conditions, technology improvements, and regulatory rules.

Cybersecurity concerns restrain market growth

IoT systems that rely on the transfer and keeping of massive amounts of data can be vulnerable to hackers. The adoption of IoT technologies can be significantly hampered by cybersecurity worries in the chemical industry, where serious implications of a breach may result. Due to the delicate nature of its operations and the possible consequences of a breach, the chemical sector is especially vulnerable to cyberattacks and is therefore a high-value target for hackers. The cyberattack breaches important data, causes operations to be disrupted, and puts the safety of the staff and the neighbourhood at risk. Chemical businesses must make sure that their IoT solutions are developed with security in mind to allay these worries.

Market product launches

  • In October 2022, The Siemens Digital Enterprise Suite for Chemicals is one of the IoT solutions that the multinational technology corporation Siemens has offered for the chemical sector. The suite makes it possible to digitalize every step of the value chain, from planning production to performing maintenance and services.
  • In March 2021, Leading chemical giant BASF collaborated with IoT platform vendor Litmus Automation to create a digitalization system for chemical production. The technology will increase operational effectiveness and enable continuous surveillance of production operations.
  • In February 2021, Honeywell, a worldwide company, announced the release of its Sentience Industrial Internet of Things (IIoT) system for the chemical industry. To improve manufacturing procedures and decrease downtime, the platform offers continuous tracking and predictive analytics.

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
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Assumptions

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Force Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

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. Israel
    • 7.5.4. Others
  • 7.6. Asia Pacific
    • 7.6.1. China
    • 7.6.2. Japan
    • 7.6.3. India
    • 7.6.4. South Korea
    • 7.6.5. Indonesia
    • 7.6.6. Taiwan
    • 7.6.7. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Emerging Players and Market Lucrativeness
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Vendor Competitiveness Matrix

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