AI in Chemicals Market worth $3.8 billion by 2029- Exclusive Report by MarketsandMarkets - Seite 2

Geographies covered

North America, Europe, Asia Pacific, Middle East & Africa, Latin America

Companies covered

IBM (US), Microsoft (US), Schneider Electric (France), AWS (US), Google (US), SAP (Germany), NVIDIA (US), C3.ai (US), GE Vernova (US), Siemens (Germany), Hexagon (Sweden), Engie Impact (US), TrendMiner (Belgium), Xylem (US), NobleAI (US), Iktos (France), Kebotix (US), Uptime AI (US), Canvass AI (Canada), Nexocode (Poland), SandboxAQ (US), Deepmatter (England), Zapata AI (US), Citirne Informatics (US), Chemical.AI (China), Augury (Israel), Intellegens (UK), Ripik.AI (India), Tractian (US), Polymerize (Singapore), ScienceDesk (Germany), OptiSol Business Solutions (India), NuWater (Africa) and VROC (Australia).

By component, the services segment to account for higher CAGR during the forecast period.

AI services, including professional and managed services, are transforming the chemicals market by providing expertise, support, and solutions tailored to AI-driven initiatives. Professional services encompass consulting, implementation, and customization of AI solutions, assisting organizations in defining AI strategies, selecting appropriate technologies, and integrating AI into existing workflows. Managed services, on the other hand, offer ongoing support, monitoring, and maintenance of AI systems, enabling organizations to focus on core operations while outsourcing AI management to experts. Managed services providers offer proactive monitoring, troubleshooting, and optimization of AI infrastructure and applications, ensuring reliability, scalability, and security. Both professional and managed services play a crucial role in accelerating AI adoption, driving innovation, and maximizing the benefits of AI technologies in the chemicals industry.

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By Business Application, the production segment is expected to hold the largest market size for the year 2024.

The chemical industry is currently undergoing significant transformation, due to the widespread adoption of artificial intelligence. This revolutionary technology is driving efficiency, promoting innovation, and streamlining production processes in the sector. By utilizing AI-powered solutions such as machine learning algorithms, advanced analytics, and real-time data analysis, chemical companies are optimizing their manufacturing operations like never before. From production planning to quality control, AI is enhancing product quality, maximizing yields, and resulting in significant cost reductions and increased enhances product quality, maximizes yields, significantly reduces costs, and increases productivity. In addition, AI's ability to analyze vast datasets allows companies to adapt to changing market demands quickly adapt to changing market demands, reducing inventory losses, and optimizing offerings. Furthermore, AI technologies are playing a crucial role in promoting environmental sustainability by minimizing waste and energy consumption. As more organizations recognize the potential benefits of AI integration, the chemical industry is poised for further advancement.