AI in Steel Market
完整報告名稱與涵蓋範圍
AI in Steel Market Size, Share & Trends Analysis Report, By Application (Process Control and Metallurgical Optimization (Blast Furnace, EAF, Casting and Rolling), Predictive Maintenance and Asset Reliability, Quality Inspection, Surface Defect Detection and Yield Improvement, Energy, Emissions and Supply Chain Optimization), By Offering (Software Platforms and Analytics, AI-Enabled Automation and Sensor Systems, Services and Consulting), By End User (Integrated Steel Producers, Electric Arc Furnace and Mini-Mill Operators, Steel Processors, Service Centers and Equipment Suppliers), By Region, and Segment Forecasts, 2026-2035
報告摘要
The AI in steel market covers software platforms, AI-enabled automation and sensor systems and services that apply machine learning to process control and metallurgical optimisation, predictive maintenance, quality inspection and yield improvement and energy, emissions and supply chain optimisation across integrated producers, electric arc furnace operators and steel processors. Conventional plant automation and steelmaking equipment without AI functionality are excluded, and the industrial agentic AI market addressed in a separate InsightAce study is adjacent.
Steelmakers are adopting AI because margins are thin, energy and carbon costs are rising and the transition to electric arc furnaces, hydrogen-based reduction and higher scrap use introduces process variability that data-driven control can manage. Applications include blast furnace and converter models that optimise raw material and energy use, casting and rolling control that reduces defects, computer vision for surface inspection, prediction of equipment failures and scheduling that improves yield and delivery, while decarbonisation programs rely on analytics to track emissions and optimise green steel routes. Plant technology suppliers embed AI in automation packages, industrial software groups offer platforms and steel companies build internal data science teams, with data integration across legacy systems, operational technology security and workforce skills shaping adoption.
Asia Pacific dominates steel production and AI deployment through China, Japan, South Korea and India, with Europe driven by decarbonisation and North America by electric arc furnace investment. Competition involves metallurgical plant technology suppliers, industrial automation groups, enterprise software and cloud providers and steel-focused AI specialists.
The InsightAce study delivers revenue forecasts in US$ across all application, offering and end user and regional segments for 2026-2035, alongside segment-level trend analysis, competitive landscape assessment and detailed company profiling.
授權報價
| Single User | $4,500 USD |
| Enterprise / Global Site Licence | $9,500 USD |
目錄 Table of Contents
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI in Steel Market Snapshot
Chapter 4. Global AI in Steel Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Market Drivers
4.3. Market Challenges
4.4. Emerging Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis - Porter's Five Forces Analysis
4.7. Competitive Landscape and Market Positioning
4.8. Market Opportunity Analysis
Chapter 5. Market Segmentation 1: By Application Estimates & Trend Analysis
5.1. Application & Market Share, 2026 & 2035
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Application:
5.2.1. Process Control and Metallurgical Optimization (Blast Furnace, EAF, Casting and Rolling)
5.2.2. Predictive Maintenance and Asset Reliability
5.2.3. Quality Inspection, Surface Defect Detection and Yield Improvement
5.2.4. Energy, Emissions and Supply Chain Optimization
Chapter 6. Market Segmentation 2: By Offering Estimates & Trend Analysis
6.1. Offering & Market Share, 2026 & 2035
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Offering:
6.2.1. Software Platforms and Analytics
6.2.2. AI-Enabled Automation and Sensor Systems
6.2.3. Services and Consulting
Chapter 7. Market Segmentation 3: By End User Estimates & Trend Analysis
7.1. End User & Market Share, 2026 & 2035
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by End User:
7.2.1. Integrated Steel Producers
7.2.2. Electric Arc Furnace and Mini-Mill Operators
7.2.3. Steel Processors, Service Centers and Equipment Suppliers
Chapter 8. AI in Steel Market: Regional Estimates & Trend Analysis
8.1. North America
8.1.1. United States
8.1.2. Canada
8.2. Europe
8.2.1. Germany
8.2.2. United Kingdom
8.2.3. France
8.2.4. Italy
8.2.5. Spain
8.2.6. Rest of Europe
8.3. Asia Pacific
8.3.1. China
8.3.2. Japan
8.3.3. India
8.3.4. South Korea
8.3.5. Australia
8.3.6. Southeast Asia
8.3.7. Rest of Asia Pacific
8.4. Latin America
8.4.1. Brazil
8.4.2. Mexico
8.4.3. Rest of Latin America
8.5. Middle East & Africa
8.5.1. GCC Countries
8.5.2. South Africa
8.5.3. Rest of Middle East & Africa
Chapter 9. Competitive Landscape
9.1. Company Market Positioning Analysis
9.2. Strategic Developments (Partnerships, Expansions, Product Launches, M&A)
Chapter 10. Company Profiles
10.1. Primetals Technologies Limited
10.2. SMS group GmbH
10.3. Danieli & C. Officine Meccaniche S.p.A.
10.4. ABB Ltd.
10.5. Siemens AG
10.6. Microsoft Corporation
10.7. IBM Corporation
10.8. SAP SE
10.9. Fero Labs, Inc.
10.10. Smartex Legacy Programs
10.11. Tenova S.p.A.
10.12. POSCO Holdings Inc. (Smart Factory)
10.13. ArcelorMittal S.A. (Digital Programs)
10.14. Tata Steel Limited (Digital Programs)
10.15. Nippon Steel Corporation
圖表清單 List of Tables & Figures
Table 1. Global AI in Steel Market Revenue Forecast by Application, 2026-2035 (US$ Mn)
Figure 1. Global AI in Steel Market Segmentation Overview
Table 2. Global AI in Steel Market Revenue Forecast by Offering, 2026-2035 (US$ Mn)
Figure 2. Global AI in Steel Market Share by Application, 2026 & 2035
Table 3. Global AI in Steel Market Revenue Forecast by End User, 2026-2035 (US$ Mn)
Figure 3. AI Applications Across the Steelmaking Value Chain from Raw Materials to Finished Products
Table 4. North America AI in Steel Market Revenue by Country, 2026-2035 (US$ Mn)
Figure 4. Global AI in Steel Market Share by Offering, 2026 & 2035
Table 5. Europe AI in Steel Market Revenue by Country, 2026-2035 (US$ Mn)
Figure 5. Decarbonization and Process Transition Drivers of AI Adoption in Steel, 2026-2035
Table 6. Asia Pacific AI in Steel Market Revenue by Country, 2026-2035 (US$ Mn)
Figure 6. Asia Pacific AI in Steel Growth Opportunity Analysis
Table 7. Latin America AI in Steel Market Revenue by Country, 2026-2035 (US$ Mn)
Figure 7. Plant Technology Supplier, Software Group and In-House Approaches to Steel AI
Table 8. Middle East & Africa AI in Steel Market Revenue by Country, 2026-2035 (US$ Mn)
Figure 8. Competitive Positioning of Key AI in Steel Market Participants
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