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
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
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
5. IOT IN CHEMICAL INDUSTRY MARKET, BY TECHNOLOGY
6. IOT IN CHEMICAL INDUSTRY MARKET, BY CHEMICAL VERTICAL
7. IOT IN CHEMICAL INDUSTRY MARKET, BY GEOGRAPHY
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
9. COMPANY PROFILES
Companies Mentioned
- 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
Methodology
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