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Artificial Intelligence in Manufacturing and Supply Chain Market 2025-2032 | Latest Developments & Growth Opportunities

12-09-2025 12:42 PM CET | IT, New Media & Software

Press release from: DataM Intelligence 4Market Research

Artificial Intelligence in Manufacturing and Supply Chain Market

Artificial Intelligence in Manufacturing and Supply Chain Market

Market Overview:

The Global Artificial Intelligence in Manufacturing and Supply Chain Market is expected to grow at a CAGR of 8.1% during the forecasting period (2024-2031). According to DataM Intelligence Report.

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The Artificial Intelligence in Manufacturing and Supply Chain Market involves the adoption of AI technologies to optimize production processes, improve operational efficiency, reduce costs, and enhance decision-making. It includes AI-driven solutions such as predictive maintenance, robotics, demand forecasting, inventory management, and supply chain automation, enabling manufacturers and logistics providers to increase productivity, agility, and overall competitiveness in a rapidly evolving industrial landscape.

United States: Recent Developments of Artificial Intelligence in Manufacturing and Supply Chain Market

✅ In September 2025, Apple announced over $500 billion in U.S. investments over four years, including a new AI server manufacturing facility in Houston to support AI workloads and expanded partnerships with TSMC in Arizona for domestic silicon production, enhancing supply chain resilience.

✅ In October 2025, a KPMG survey of U.S. manufacturing CEOs revealed 68% prioritizing AI investments amid tariff uncertainties, with 69% planning to allocate up to 20% of budgets to AI for supply chain resilience, procurement automation, and agentic AI deployment.

✅ In November 2025, OpenAI partnered with Foxconn to manufacture AI hardware in the U.S., localizing the supply chain for AI servers and components previously reliant on overseas production to accelerate deployment.

Europe: Recent Developments of Artificial Intelligence in Manufacturing and Supply Chain Market

✅ In October 2025, the European Commission launched the Apply AI Strategy with flagship actions for manufacturing, including AI factories and data spaces to pool industrial data for frontier AI models tailored to production and supply chains.

✅ In November 2025, the EU unveiled a €1.1 billion strategy for AI sovereignty, promoting an "AI-first policy" in manufacturing and supply chains through open-source solutions, public sector adoption, and the RAISE virtual institute for AI research access.

✅ In November 2025, European tech investments shifted to AI-integrated manufacturing and robotics, with funding for companies like Quantum Systems (€180 million for drone production) and Ferroelectric Memory Company (€100 million for AI semiconductor fabrication).

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Major Players:

Key companies in the Artificial Intelligence in Manufacturing and Supply Chain market include:

Bosch
Cisco Systems, Inc.
General Electric Company
IBM Corporation
Intel Corporation
Microsoft Corporation
Mitsubishi Electric Corporation
NVIDIA Corporation
Oracle Corporation
Siemens AG.

Market Growth Drivers:

✅ Operational Efficiency Gains: AI drives growth through predictive maintenance, process optimization, and automation, reducing downtime and streamlining manufacturing operations while enhancing supply chain responsiveness.

✅ Supply Chain Optimization: AI improves demand forecasting, inventory management, logistics, and disruption prediction, enabling resilient networks and cost savings across manufacturing and distribution.

✅ Adoption of IIoT and Digital Twins: Integration of Industrial IoT with AI, alongside digital twin technology, supports real-time data analysis, quality control, and smart manufacturing for greater productivity.

Segments Covered in the Artificial Intelligence in Manufacturing and Supply Chain Market:

By Type: Software, Hardware, Others.

By Deployment: On-premise, Off-premise.

By End-User: Automotive, Aerospace, Construction, Chemicals, Others.

By Technology: Machine Learning, Computer Vision, Natural Language Processing, Others.

Regional Analysis for Artificial Intelligence in Manufacturing and Supply Chain Market:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

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Chapter Outline:

⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, Artificial Intelligence in Manufacturing and Supply Chain market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global Artificial Intelligence in Manufacturing and Supply Chain Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.

⏩ Companies Profiles: The global Artificial Intelligence in Manufacturing and Supply Chain market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.

⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.

⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the Artificial Intelligence in Manufacturing and Supply Chain Market.

⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.

⏩ Research Findings: This section of the report showcases the findings and analysis of the report.

⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.

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Frequently asked questions:

➠ What is the global sales value, production value, consumption value, import and export of Artificial Intelligence in Manufacturing and Supply Chain market?

➠ Who are the global key manufacturers of the Artificial Intelligence in Manufacturing and Supply Chain Industry? How is their operating situation (capacity, production, sales, price, cost, gross, and revenue)?

➠ What are the Artificial Intelligence in Manufacturing and Supply Chain market opportunities and threats faced by the vendors in the global Artificial Intelligence in Manufacturing and Supply Chain Industry?

➠ Which application/end-user or product type may seek incremental growth prospects? What is the market share of each type and application?

➠ What focused approach and constraints are holding the Artificial Intelligence in Manufacturing and Supply Chain market?

➠ What are the different sales, marketing, and distribution channels in the global industry?

Contact Us -
Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -
DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.
Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.

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