The global market for AI in manufacturing is estimated to grow from $7 billion in 2025 to $35.8 billion by 2030, at a compound annual growth rate (CAGR) of 38.7% from 2025 to 2030.
The North American market for AI in manufacturing is estimated to grow from $2.5 billion in 2025 to $11.1 billion by 2030, at a CAGR of 34.4% from 2025 to 2030.
The European market for AI in manufacturing is estimated to grow from $2.1 billion in 2025 to $14.3 billion by 2030, at a CAGR of 46.2% from 2025 to 2030.
Report Scope
This report analyzes the global market for AI in manufacturing by component, technology, application, and end-use industry. The report discusses the technological, regulatory, competitive, and economic aspects that impact the market. The report provides a detailed patent analysis for AI in the global manufacturing market, which gives readers insight into the competitive dynamics.
The report also includes a regional analysis that covers North America, Europe, Asia-Pacific, the Middle East and Africa (MEA), and South America, and it further examines current and future factors influencing demand. The report concludes by providing detailed profiles of the major companies in the market. The year 2024 is considered a base year, 2025 is an estimated year, and market values are forecasted for five years through 2030. All market values are in million dollars ($).
Report Includes
- 73 data tables and 56 additional tables
- In-depth analysis of the global markets for artificial intelligence (AI) in the manufacturing industry
- Analyses of the global market trends, with revenue data for 2024, estimates for 2025, forecast for 2026 and 2029, and projections of CAGRs through 2030
- Estimates of the market's size and revenue growth prospects, accompanied by a market share analysis by component, technology type, application, end-user industry and region
- Facts and figures pertaining to market dynamics, opportunities and deterrents, technological advances, regulations, innovations and standards and the impacts of macroeconomic variables
- Impact analysis of U.S. tariff laws on the global market
- Insights derived from Porter's Five Forces model, as well as a global supply chain analysis
- Case studies on AI implementation to improve manufacturing processes and business operations
- A relevant patent analysis, featuring key granted and published patents
- Overview of sustainability trends and ESG developments, with emphasis on consumer attitudes, as well as the ESG risk ratings and practices of leading companies
- Analysis of the industry structure, including companies' market shares and rankings, strategic initiatives, M&A activity and a venture funding outlook
- Profiles of the leading companies, including Microsoft, Amazon Web Services Inc., Alphabet Inc. (Google Inc.), Rockwell Automation and Siemens
Table of Contents
Chapter 1 Executive Summary
- Market Outlook
- Scope of Report
- Market Summary
- Technological Advances and Applications
- Market Dynamics and Growth Factors
- Future Trends and Developments
- Segmental Analysis
- Regional Insights and Emerging Markets
- Conclusion
Chapter 2 Market Overview
- Current Market Overview
- Future Scenarios
- Macroeconomic Factors
- Global Economic Growth
- Global Increase in Industrial Output
- Impact of the U.S. Tariffs
- Value Chain Analysis
- Design and Prototyping
- Manufacturing Operations
- Supply Chain Management
- Marketing and Sales
- Support and Services
- Porter's Five Forces Analysis for AI in the Manufacturing Market
- Bargaining Power of Buyers
- Bargaining Power of Suppliers
- Potential for New Entrants to the Market
- Competition in the Industry
- Threat of Substitutes
- Regulatory Framework
- The U.S.
- Europe
- The U.K.
- Spain
- China
- Japan
- South Korea
- Key Use Cases
- Use Case 1: AI-powered Design in the Automotive Industry
- Use Case 2: AI-operated Supply Chain Optimization
- Use Case 3: AI Integration in the Semiconductor Industry
- Use Case 4: AI-powered Predictive Maintenance in the Manufacturing Industry
- Use Case 5: AI-powered Grid Stability in the Energy Sector
- Use Case 6: Walmart Leverages AI to Enhance Supply Chain Efficiency
Chapter 3 Market Dynamics
- Overview
- Market Drivers
- Growing Implementation of Production and Process Optimization Techniques
- Rising Demand for IIoT and Automation Technologies that Is Reshaping the Manufacturing Landscape
- Growing Shift toward Smart Manufacturing Across Industries
- Market Restraints
- Lack of Technical Knowledge and Expertise
- High Initial Investment
- Market Opportunities
- Increasing Adoption of AI to Achieve Smarter Supply Chain Optimization in Industries
- New Opportunities for Manufacturers Created by AI-powered Predictive Maintenance
Chapter 4 Emerging Technologies and Developments
- Overview
- Key Emerging Technologies
- Generative AI (GenAI)
- Explainable AI (XAI)
- Federated Learning
- Quantum AI
- AI-driven IoT (AIoT)
- Patent Analysis
- Overview
- Key Patents
- Key Findings
Chapter 5 Market Segmentation Analysis
- Segmentation Breakdown
- Global Market for AI in Manufacturing, by Component
- Overview
- Key Takeaways
- Services
- Software
- Hardware
- Global Market for AI in Manufacturing, by Technology
- Overview
- Key Takeaways
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Computer Vision
- Context-aware Computing
- Global Market for AI in Manufacturing, by Application
- Overview
- Key Takeaways
- Predictive Maintenance and Machinery Inspection
- Production Planning
- Quality Control
- Inventory Optimization
- Cybersecurity
- Field Services
- Others
- Global Market for AI in Manufacturing, by End-use Industry
- Overview
- Key Takeaways
- Automotive
- Semiconductor and Electronics
- Aerospace and Defense
- Energy and Power
- Metals and Heavy Machinery
- Pharmaceuticals
- Others
- Geographic Breakdown
- Global Market for AI in Manufacturing, by Region
- Key Takeaways
- North America
- Europe
- Asia-Pacific
- Middle East and Africa
- South America
Chapter 6 Competitive Intelligence
- Overview
- Market Share Analysis
- Microsoft
- Amazon Web Services (AWS) Inc.
- Alphabet Inc.
- Product Mapping Analysis
- Strategic Analysis
- Collaborations and Partnerships
- Investments
- Expansions
- Market Spending and Investment Scenario
- Market Spending and Forecasting Analysis
- Overview
- Market Spending and Forecasting Analysis in AI in Manufacturing
- Key Spending by Manufacturing Companies in AI
- VC Investment in AI-focused Industries
Chapter 7 Sustainability in the Market for AI in Manufacturing: An ESG Perspective
- Introduction to ESG
- Environmental Impact
- Social Impacts
- Governance Impacts
- Current Status of ESG in the Market
- Case Study: Examples of Successful Implementation of ESG
- Siemens
- Cisco Systems, Inc.
- Concluding Remarks from BCC Research
Chapter 8 Appendix
- Methodology
- Research Steps
- References
- Abbreviations
- Company Profiles
- ALPHABET INC. (GOOGLE INC.)
- AMAZON WEB SERVICES INC.
- CISCO SYSTEMS INC.
- GE VERNOVA
- IBM CORP.
- INTEL CORP.
- MICRON TECHNOLOGY INC.
- MICROSOFT
- MITSUBISHI ELECTRIC CORP.
- NVIDIA CORP.
- ORACLE
- ROCKWELL AUTOMATION
- SALESFORCE INC.
- SAP SE
- SIEMENS
- Emerging Companies in the Global AI in Manufacturing Market
