AI in Chemicals Market – Global Forecast to 2029
化学市場における AI : コンポーネント (ハードウェア、ソフトウェア (タイプ、テクノロジー、展開モード別) ＆サービス)、ビジネスアプリケーション、エンドユーザー (基礎化学物質、有効成分、塗料＆コーティング)、地域別 – 2029年までの世界予測
AI in Chemicals Market by Component (Hardware, Software (by Type, Technology, and Deployment Mode) and Services), Business Application, End User (Basic Chemicals, Active Ingredients, and Paints & Coatings) and Region – Global Forecast to 2029
The global AI in chemicals market is valued at USD 0.7 billion in 2024 and is estimated to reach USD 3.8 billion in 2029, registering a CAGR of 39.2% during the forecast period.
化学品における世界の AI 市場は、2024 年に 7 億米ドルと評価され、2029 年には 38 億米ドルに達すると推定されており、予測期間中に 39.2% の CAGR を記録します。
Optimizing chemical processes with AI-enabled solutions serves as a potential driver for accelerating the adoption of AI in the chemical sector. As more than 80% of chemical companies now prioritize sustainability alongside revenue growth, AI emerges as a crucial tool for achieving these goals. Notably, in 2022, two-thirds of companies actively developing AI strategies reported significant increases in both productivity and sustainability achievements. AI-powered predictive models offer precise recommendations for formulations and manufacturing processes, advancing sustainability objectives while significantly improving return on investment. Companies implementing AI strategies have witnessed notable cost reductions of up to 30% and impressive decreases of 20% in greenhouse gas emissions within their chemical workflows. Successful integration of AI relies on robust data foundations and effective training strategies. Ensuring data diversity and quality is paramount to maintaining accuracy and preventing model drift, safeguarding against suboptimal predictions and investments. Through enriched datasets and curated training sets, companies validate AI models, unlocking new insights and breakthroughs.
The report provides insights on the following pointers:
• Analysis of key drivers (Growing demand of AI for research & development, Rising demand for AI-enhanced chemical process optimization), restraints (High cost associated with AI implementation in chemical industry, Regulatory constraints posing obstacles to scalability of AI solutions in chemical sector), opportunities (Growing demand for AI-based predictive maintenance, Growing integration of generative AI to unlock unprecedented opportunities), and challenges (Issues related to converting chemical data into machine-readable data, Lack of skilled workforce) influencing the growth of the AI in chemicals market
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in chemicals market.
• Market Development: Comprehensive information about lucrative markets – the report analyses the AI in chemicals market across varied regions.
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in AI in chemicals market strategies; the report also helps stakeholders understand the pulse of the AI in chemicals market and provides them with information on key market drivers, restraints, challenges, and opportunities.
• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as IBM (US), Microsoft (US), Google (US), Schneider Electric (France), SAP (Germany) among others in the AI in chemicals market.