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Artificial Intelligence (AI) in Chemical Market is Poised to Grow at Highest Pace Owing to Surging Adoption by Chemical Manufacturers

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Purvaja
Artificial Intelligence (AI) in Chemical Market is Poised to Grow at Highest Pace Owing to Surging Adoption by Chemical Manufacturers

The global artificial intelligence (AI) in chemical market is witnessing significant growth owing to the growing need for process optimization and enhanced productivity in the chemical industry. AI helps chemical companies optimize processes, improve quality, reduce costs and minimize environmental impact. AI enables real-time monitoring of plant operations, predictive maintenance of equipment, and accurate demand forecasting. AI algorithms can analyze huge volumes of production data and identify invisible patterns to help operators make improved decisions.

The Global Artificial Intelligence (AI) in Chemical Market Demand is estimated to be valued at US$ 1.40 BN in 2024 and is expected to exhibit a CAGR of 31% over the forecast period 2024 to 2031.

Key Takeaways

Key players operating in the artificial intelligence (AI) in chemical market are Manuchar N.V, IMCD N.V., Univar Solutions Inc., Brenntag S.E., Sojitz Corporation, ICC Industries Inc., Azelis Group NV, Tricon Energy Inc., Biesterfeld AG, Omya AG, HELM AG, Sinochem Corporation, and Petrochem Middle East. Growing environmental regulations and increasing focus on minimizing process risks are fueling demand for AI technology in the chemical industry. Major players are investing in R&D to develop new AI-powered tools and platforms to help chemical companies leverage big data for decision making. Technological advancements such as machine learning, deep learning, and computer vision are enabling more accurate predictive analytics and autonomous process control in chemical manufacturing.

Market Trends

Two major trends driving the artificial intelligence market in chemicals are predictive maintenance and process optimization. AI-powered predictive maintenance helps predict equipment failures and reduces downtime. By continuously monitoring equipment parameters, AI identifies anomalies and warns operators to schedule maintenance accordingly. This helps avoid unexpected breakdowns and improves asset utilization. AI is also being used for advanced process optimization. By learning from vast production data, AI models help optimize process parameters, recipe formulations, and operating conditions to enhance yields and product quality while minimizing costs, variability and waste.

Market Opportunities

Surging investments by chemical companies in digital transformation presents a key opportunity for AI vendors. Integrating AI solutions with Industry 4.0 technologies such as IoT, robotics, cloud and edge computing opens up new avenues for data-driven manufacturing. Growing deployment of AI-based virtual simulators and digital twins is another area that promises significant growth. They help operators train AI models for various "what-if" scenarios and safely test new recipes, materials or process changes before real-world implementation to maximize efficiency.

Impact of COVID-19 on Artificial Intelligence (AI) in Chemical Market

The ongoing coronavirus pandemic has impacted the growth of AI in chemical market significantly. Lockdowns imposed across various countries led to temporary halt in operations of chemical manufacturing facilities. This presented challenges in collection and annotation of large chemical data required for development and training of AI models. However, with work from home becoming a norm, researchers continued developing new AI algorithms and solutions using virtual collaboration tools. As lockdowns ease in different regions, chemical companies are leveraging AI more than ever to optimize operations, ensure safety of workers and address issues of supply chain disruptions caused due to pandemic. AI tools are being used for predictive maintenance of plants, simulation of new experiments without needing physical infrastructure and monitoring of chemical reactions in real-time with reduced staff presence on-site. Going forward, AI is expected to play a bigger role in supporting digital transformation initiatives of chemical industry to make operations more resilient against future crises.

Geographical Regions with Major Market Concentration for Artificial Intelligence (AI) in Chemical Market

North America region accounts for the largest share in terms of value contribution to global AI in chemical market. This is attributed to presence of major chemical companies and AI technology providers in countries like United States and Canada. Additionally, liberal research funding and growing adoption of Industry 4.0 technologies further aid market growth here. Asia Pacific region is emerging as the fastest growing market especially in countries such as China, India and Japan. Rising industrial automation, presence of large downstream chemical processing industries and government initiatives supporting development of AI and IoT are driving faster expansion of AI solutions across Asia Pacific chemical sector.

Fastest Growing Regional Market for Artificial Intelligence (AI) in Chemical

Asia Pacific region presents biggest opportunities for future growth of AI in chemical market. China, with world's largest chemical producing nation, is striving hard towards adoption of advanced manufacturing practices involving robotics, AI and big data analytics. Governments across Southeast Asian countries are promoting use of digital technologies like AI for sustainable development of chemical industry. Presence of emerging economies coupled with their thrust on innovation is fueling rise in AI investments across sectors including chemicals. This makes Asia Pacific the fastest growing regional market outpacing other global regions over coming years in terms of AI adoption within chemicals industry.

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