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全球工业产业物联网市场：预测（2023-2028）
市场调查报告书
商品编码
1410166

全球工业产业物联网市场：预测（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个工作天内

价格
简介目录

全球化工产业物联网市场规模预计在预测期内将以 13.14% 的复合年增长率成长。

物联网感测器用于化学工业的物联网应用，以即时监控化学过程。因此，生产过程得到更好的控制和最佳化，从而提高品质、提高效率并降低成本。例如，物联网感测器可以追踪化学反应器中的温度、压力和 pH 值等参数。透过即时收集和分析这些资料，操作员可以优化製程条件并避免可能导致生产问题的波动。

化工产业对预测性维护的需求不断增长

随着化学设备老化并变得更加复杂，设备故障和停机的成本急剧增加。为了确保设备可靠性并减少停机时间，化学工业使用即时资料来预测设备何时可能发生故障，并主动采取措施防止其发生，我们依靠预测性维护。化工产业的预测性维护依赖物联网技术。例如，物联网感测器可以检查化学反应器中的温度和压力，追踪泵浦和马达中的振动水平以及管道中的洩漏。

营运情报和品质保证

化学公司在生产过程中产生大量资料，但通常只有一部分数据用于增强决策和创造价值。公司可以透过组合资料、即时分析数据并协作智慧型决策的结果来提高营运、安全和环境绩效。能够快速分析大量资料可以增强您的流程和品质保证。为了保持製程品质和控制，许多化学公司专注于最后 30 批次的原料。许多公司可以检查整个组织的批次结果，并使用更大的资料集来修改操作参数并提高品质。

对化学製造流程的高要求

化学产品的复杂製造过程需要精确的监控和控制，以确保品质、安全和效率。透过提供温度、压力和化学成分的即时资料，物联网技术可以帮助化学产业优化製造营运。这些资料可用于透过提高效率和消除浪费来优化生产流程。为了确保所生产产品的安全性和可行性，化学工业需要遵守更严格的监管标准。物联网技术可以监控环境条件和化学品生产过程，增加物联网在化学产业的市场占有率。

远端监控需求不断增长

物联网 (IoT) 作为远端製程监控和操作监控的工具广泛应用于化学产业。利用这项技术，公司可以在世界任何地方监控其设施和机械，从而减少发生事故的可能性并提高生产力。物联网感测器可用于监测泵浦、阀门和反应器等设备的运作状况。这些资料可用于在潜在问题导致事故或故障之前发现它们，这正在推动化学行业的物联网市场。

石化产业需求旺盛

物联网技术在传统石油石化产业中频繁使用，提供先进的资料撷取解决方案，不仅有利于石油产业资讯基础设施的发展，还能降低成本、提高效率，满足业务需求。此外，该公司现在正在将摄影机纳入高吸水性聚合物 (SAP) 的製造过程中，并使用深度学习演算法从影片中学习行为。这有助于防止与异物相关的生产线停机，并提高产品检查的有效性。

北美占有很大份额

预计在预测期内，北美将引领化学工业市场的物联网。该地区是化学工业物联网解决方案极其重要的市场，因为它是许多生产化学产品的公司的所在地，并以最早采用最尖端科技的公司之一而闻名。美国在该地区拥有最大的市场占有率。这种扩张是由于化学公司越来越多地采用物联网解决方案来提高业务的整体生产力和效率。然而，市场是动态的，未来可能会因各种原因而发生变化，包括经济状况、技术进步和监管规则。

网路安全疑虑抑制市场成长

依赖传输和保留大量资料的物联网系统可能容易受到骇客的攻击。化学工业的网路安全问题可能会严重阻碍物联网技术的采用，而违规可能会产生重大影响。由于其业务的敏感性和违规的潜在后果，化学行业特别容易受到网路攻击，使其成为骇客的高价值目标。网路攻击可能会损害关键资料、扰乱业务并使员工和邻居的安全面临风险。为了减轻这些担忧，化学公司需要确保其物联网解决方案在开发时考虑安全性。

市场产品推出

  • 2022年10月，西门子化工数位化企业套件是跨国科技公司西门子为化学产业提供的物联网解决方案之一。该套件使价值链的每一步（从生产计画到维护和服务实施）数位化成为可能。
  • 2021年3月，领先的化学品製造商BASF与物联网平台供应商Litmus Automation合作，建构化学品生产数位化系统。该技术提高了营运效率并允许持续监控生产营运。
  • 2021 年 2 月，跨国公司Honeywell宣布推出适用于化学产业的 Sentience 工业物联网 (IIoT) 系统。该平台提供持续追踪和预测分析，以改善製造流程并减少停机时间。

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第二章调查方法

  • 调查资料
  • 先决条件

第三章执行摘要

  • 研究亮点

第四章市场动态

  • 市场驱动因素
  • 市场抑制因素
  • 波特五力分析
  • 产业价值链分析

第五章化工产业物联网市场：依技术分类

  • 介绍
  • 机器视觉
  • 3D列印
  • 数位双胞胎
  • 工厂资产管理
  • 製造执行系统
  • 集散控制系统
  • 工业机器人
  • 巨量资料
  • 人工智慧
  • 其他的

第六章 化工产业物联网市场：依化学工业划分

  • 介绍
  • 矿业
  • 食品和饮料
  • 石化产品
  • 聚合物
  • 肥料
  • 纸浆
  • 其他的

第七章 化工产业物联网市场：依地区

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 其他的
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 以色列
    • 其他的
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 印尼
    • 台湾
    • 其他的

第八章竞争环境及分析

  • 主要企业及策略分析
  • 新兴企业和市场盈利
  • 併购/协议/合作
  • 供应商竞争力矩阵

第九章 公司简介

  • 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
简介目录
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