주조 및 단조 로봇 시장 : 유형, 구성부품, 로봇 유형, 용도, 최종 이용 산업별 예측(2026-2032년)

The Foundry & Forging Robots Market is projected to grow by USD 738.45 million at a CAGR of 6.94% by 2032.

Foundry and forging robots are becoming essential assets in high-temperature metal production, where repeatability, uptime, and worker safety directly affect competitiveness. In foundries, robots support casting extraction, pouring, core handling, fettling, grinding, deburring, inspection, and machine tending. In forging operations, they automate billet loading, press tending, die lubrication, trimming, heat-treatment handling, and palletizing.

The market is supported by verified industrial trends: the International Federation of Robotics consistently identifies automotive, metal, machinery, and electronics as major robot-adopting industries, while OSHA and comparable safety agencies recognize foundries and forging shops as environments with elevated exposure to heat, noise, dust, fumes, molten metal, and ergonomic risk. As manufacturers pursue higher throughput with fewer quality defects, foundry automation and forging robotics are shifting from isolated workcells to connected, data-driven production systems that improve consistency across harsh metalworking environments.

Transformative Shifts in the Metal Automation Landscape

The landscape is being reshaped by labor shortages, reshoring strategies, electrification, and the need for safer heavy-industry workplaces. Automotive lightweighting, electric vehicle component demand, aerospace precision requirements, and infrastructure investment are pushing producers to improve consistency across casting and forged-metal workflows.

Robot OEMs and system integrators are responding with heat-resistant end effectors, force-controlled grinding, vision-guided bin picking, offline programming, simulation, and ruggedized controllers. The most transformative shift is the movement from stand-alone automation toward integrated cells that connect presses, furnaces, CNC machines, inspection systems, and manufacturing execution platforms, enabling better traceability, shorter changeovers, and more stable production quality.

Cumulative Impact of Artificial Intelligence

Artificial intelligence is expanding the value of foundry and forging robots beyond repetitive handling. AI-enabled vision improves part recognition in variable, dusty, and low-contrast environments, while machine learning supports adaptive deburring, grinding path optimization, predictive maintenance, anomaly detection, and closed-loop quality control.

The cumulative impact is measurable in operational terms: fewer unplanned stoppages, more consistent surface finishing, faster changeovers, improved energy awareness, and stronger traceability. AI does not replace the need for robust mechanical design in harsh environments; it enhances robotic cells by converting production data from sensors, cameras, drives, presses, furnaces, and inspection tools into actionable process intelligence.

Key Regional Insights for Foundry & Forging Robots

Asia-Pacific remains the strongest adoption engine for foundry and forging robots due to its concentration of automotive manufacturing, electronics production, machinery exports, shipbuilding, and steel-consuming industries. China, Japan, South Korea, India, and Australia combine large manufacturing bases with industrial modernization programs, making the region central to robotic casting, forging, die handling, heat-treatment handling, and post-processing automation.

North America is driven by reshoring, defense supply-chain resilience, automotive platform renewal, aerospace production, and safety-driven automation in metalworking facilities. Europe benefits from advanced machine-building expertise, strict worker-safety standards, skilled-labor constraints, and sustainability regulation that encourages energy-efficient, high-precision manufacturing. Latin America is led by automotive, mining-linked equipment, and agricultural machinery demand, especially where producers seek higher consistency in cast and forged components. The Middle East is building industrial diversification capacity through metals, aluminum, industrial cities, and infrastructure projects, while Africa remains an emerging opportunity, with adoption tied to mining, metals processing, maintenance repair operations, and gradual modernization of industrial supply chains.

Key Group Insights Across ASEAN, GCC, EU, BRICS, G7 & NATO

ASEAN is gaining relevance as global manufacturers diversify supply chains and expand automotive, electronics, and metal fabrication capacity across Thailand, Vietnam, Indonesia, Malaysia, and related production hubs. Robot deployment in this group is tied to export manufacturing, multinational production networks, industrial-park development, and rising demand for safer, higher-throughput metal processing.

The GCC is investing in metals, aluminum, industrial cities, and downstream manufacturing as part of economic diversification programs, strengthening the case for robotic foundry and forging cells in harsh, high-volume environments. The European Union supports adoption through safety regulation, digital manufacturing programs, industrial decarbonization policies, and advanced machinery ecosystems. BRICS economies represent significant long-term demand because of their scale in steel, automotive, infrastructure, mining, energy, and machinery production. G7 markets lead in advanced automation, inspection, quality control, workforce safety, and high-value manufacturing, while NATO countries are prioritizing resilient defense, naval, aerospace, and critical-equipment supply chains that require reliable casting and forging capacity.

Key Country Insights in Major Foundry & Forging Markets

The United States leads North American demand through automotive, aerospace, defense, oilfield equipment, heavy machinery, and reshoring investment. Canada supports adoption through automotive parts, mining equipment, energy infrastructure, and advanced manufacturing clusters, while Mexico benefits from nearshoring and strong vehicle assembly integration. Brazil is the leading Latin American opportunity due to its automotive, mining, steel, and agricultural machinery base.

In Europe, Germany remains a benchmark for industrial robotics, machine tools, automotive supply chains, and precision metalworking; Italy, France, Spain, and the United Kingdom add depth through foundry networks, aerospace, defense, rail, and specialized machinery. Russia maintains demand linked to heavy industry, energy equipment, and domestic manufacturing requirements, although technology access is affected by trade restrictions. In Asia-Pacific, China is the largest manufacturing-scale opportunity, India is accelerating automation in automotive and infrastructure-linked sectors, Japan and South Korea lead in high-precision robotics, automotive manufacturing, and electronics-linked automation, and Australia shows demand in mining equipment, defense, rail, and metals processing.

Actionable Recommendations for Industry Leaders

Industry leaders should prioritize robotic applications with the strongest safety and uptime impact: furnace tending, press loading, hot-part transfer, die lubrication, grinding, deburring, trimming, palletizing, and inspection. Early success depends on selecting rugged robots, heat-resistant tooling, protected cable routing, reliable part presentation, and cell layouts that account for dust, scale, vibration, thermal variation, and maintenance access.

Executives should also standardize data capture from robots, presses, furnaces, tooling, and quality systems. The most resilient programs combine automation roadmaps, operator upskilling, preventive maintenance, simulation-based deployment, spare-parts planning, and cybersecurity controls for connected production assets. Plants should validate each use case through cycle-time studies, safety-risk assessments, quality baselines, and total cost of ownership reviews before scaling across casting and forging lines.

Research Methodology

This executive summary is based on secondary research from recognized public and industry sources, including robotics adoption research, occupational-safety guidance, industrial production indicators, manufacturing policy publications, and materials-sector references. Sources commonly used for validation include the International Federation of Robotics, World Steel Association, OSHA, NIOSH, ISO standards, national statistical agencies, labor agencies, and manufacturing trade bodies.

The analysis applies triangulation across demand drivers, end-use industries, technology readiness, regional manufacturing capacity, supply-chain priorities, and regulatory factors. Findings are framed qualitatively where public market data varies by definition, ensuring that insights remain grounded in verifiable industrial evidence rather than unsupported market sizing, share estimates, or forecasts.

Conclusion

Foundry and forging robots are moving from optional productivity tools to strategic infrastructure for high-temperature metal manufacturing. Their value is strongest where safety exposure, labor scarcity, quality requirements, and production continuity intersect.

As AI, machine vision, simulation, force control, and connected controls mature, adoption will increasingly favor manufacturers that treat robotics as part of a broader digital manufacturing system. Organizations that invest in rugged automation, workforce capability, cybersecurity, and data-driven process control will be best positioned to compete in precision casting and forging markets.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Definition
• 1.3. Market Segmentation & Coverage
• 1.4. Years Considered for the Study
• 1.5. Currency Considered for the Study
• 1.6. Language Considered for the Study
• 1.7. Key Stakeholders

2. Research Methodology

• 2.1. Introduction
• 2.2. Research Design
  • 2.2.1. Primary Research
  • 2.2.2. Secondary Research
• 2.3. Research Framework
  • 2.3.1. Qualitative Analysis
  • 2.3.2. Quantitative Analysis
• 2.4. Market Size Estimation
  • 2.4.1. Top-Down Approach
  • 2.4.2. Bottom-Up Approach
• 2.5. Data Triangulation
• 2.6. Research Outcomes
• 2.7. Research Assumptions
• 2.8. Research Limitations

3. Executive Summary

• 3.1. Introduction
• 3.2. CXO Perspective
• 3.3. Market Size & Growth Trends
• 3.4. Market Share Analysis, 2025
• 3.5. FPNV Positioning Matrix, 2025
• 3.6. New Revenue Opportunities
• 3.7. Next-Generation Business Models
• 3.8. Industry Roadmap

4. Market Overview

• 4.1. Introduction
• 4.2. Industry Ecosystem & Value Chain Analysis
  • 4.2.1. Supply-Side Analysis
  • 4.2.2. Demand-Side Analysis
  • 4.2.3. Stakeholder Analysis
• 4.3. Market Dynamics
  • 4.3.1. Key Drivers
  • 4.3.2. Key Restraints
  • 4.3.3. Key Opportunities
  • 4.3.4. Key Challenges
• 4.4. Porter's Five Forces Analysis
• 4.5. PESTLE Analysis
• 4.6. Market Outlook
  • 4.6.1. Near-Term Market Outlook (0-2 Years)
  • 4.6.2. Medium-Term Market Outlook (3-5 Years)
  • 4.6.3. Long-Term Market Outlook (5-10 Years)
• 4.7. Go-to-Market Strategy

5. Market Insights

• 5.1. Consumer Insights & End-User Perspective
• 5.2. Consumer Experience Benchmarking
• 5.3. Opportunity Mapping
• 5.4. Distribution Channel Analysis
• 5.5. Pricing Trend Analysis
• 5.6. Regulatory Compliance & Standards Framework
• 5.7. ESG & Sustainability Analysis
• 5.8. Disruption & Risk Scenarios
• 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of Artificial Intelligence 2026

7. Foundry & Forging Robots Market, by Type

• 7.1. Electric Drive Robots
• 7.2. Hydraulic Robots

8. Foundry & Forging Robots Market, by Component

• 8.1. Hardware
  • 8.1.1. Controllers
  • 8.1.2. Robotic Arms
  • 8.1.3. Sensors & Vision Systems
• 8.2. Services
  • 8.2.1. Installation Services
  • 8.2.2. Maintenance & Support
  • 8.2.3. Training Services
• 8.3. Software

9. Foundry & Forging Robots Market, by Robot Type

• 9.1. Articulated Robots
• 9.2. Cartesian Robots
• 9.3. Collaborative Robots
• 9.4. Delta Robots
• 9.5. Dual-Arm Robots
• 9.6. SCARA Robots

10. Foundry & Forging Robots Market, by Application

• 10.1. Casting Extraction
• 10.2. Core Assembly
• 10.3. Deburring, Grinding, & Polishing
• 10.4. Ladling
• 10.5. Mold Handling

11. Foundry & Forging Robots Market, by End-Use Industry

• 11.1. Aerospace & Defense
• 11.2. Automotive
• 11.3. Consumer Goods
• 11.4. Electronics
• 11.5. Healthcare
• 11.6. Manufacturing & Heavy Industries

12. Foundry & Forging Robots Market, by Region

• 12.1. Asia-Pacific
• 12.2. North America
• 12.3. Latin America
• 12.4. Europe
• 12.5. Middle East
• 12.6. Africa

13. Foundry & Forging Robots Market, by Group

• 13.1. ASEAN
• 13.2. GCC
• 13.3. European Union
• 13.4. BRICS
• 13.5. G7
• 13.6. NATO

14. Foundry & Forging Robots Market, by Country

• 14.1. United States
• 14.2. Canada
• 14.3. Mexico
• 14.4. Brazil
• 14.5. United Kingdom
• 14.6. Germany
• 14.7. France
• 14.8. Russia
• 14.9. Italy
• 14.10. Spain
• 14.11. China
• 14.12. India
• 14.13. Japan
• 14.14. Australia
• 14.15. South Korea

15. Competitive Landscape

• 15.1. Market Concentration Analysis, 2025
  • 15.1.1. Concentration Ratio (CR)
  • 15.1.2. Herfindahl Hirschman Index (HHI)
• 15.2. Recent Developments & Impact Analysis, 2025
• 15.3. Product Portfolio Analysis, 2025
• 15.4. Benchmarking Analysis, 2025

16. Company Profiles

• 16.1. ABB Ltd.
• 16.2. Acieta, LLC.
• 16.3. BGR NEO Ltd.
• 16.4. Borunte Robot Co., Ltd.
• 16.5. Bosch Rexroth AG
• 16.6. Comau S.p.A.
• 16.7. Difacto Robotics and Automation Pvt. Ltd.
• 16.8. Doosan Robotics Inc
• 16.9. Doosan Robotics Inc.
• 16.10. ENGEL AUSTRIA GmbH
• 16.11. FANUC CORPORATION
• 16.12. Kawasaki Heavy Industries, Ltd.
• 16.13. KUKA AG
• 16.14. Mitsubishi Electric Corporation
• 16.15. Nachi-Fujikoshi Corp.
• 16.16. Seiko Epson Corporation
• 16.17. Siemens AG
• 16.18. Sintokogio, Ltd.
• 16.19. SIR Spa
• 16.20. Staubli International AG.
• 16.21. TECHMAN ROBOT INC.
• 16.22. Universal Robots A/S by Teradyne
• 16.23. Yamaha Motor Co., Ltd.
• 16.24. YASKAWA Electric Corporation