AI in Manufacturing Market Size to Reach $332.3 Billion by 2035

AI in manufacturing market is projected to grow from $15.6 billion in 2025 and is projected to reach $332.3 billion by 2035, growing at a CAGR of 35.8% during the forecast period 2026-2035. The global AI in manufacturing market is witnessing a steady transformation driven by the increasing integration of intelligent systems into production environments. Manufacturers are adopting advanced analytics, machine learning, and automation tools to improve process visibility and operational efficiency. A key trend shaping the market is the shift toward predictive and self-optimizing systems that can identify disruptions and adjust operations in real time. The growing complexity of supply chains is also encouraging wider use of AI-enabled decision support tools. In addition, the rising focus on reducing downtime and improving asset utilization is influencing adoption across multiple industrial sectors. Continuous improvements in computing infrastructure are further supporting the deployment of AI across manufacturing ecosystems.

Browse the full report description of “Artificial Intelligence (AI) in Manufacturing Market Size, Share & Trends Analysis By Component (Hardware, Software, and Services), By Technology (Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, and Others), By Deployment Mode (On-Premise and Cloud), By Application (Predictive Maintenance, Quality Inspection, Production Optimization, Supply Chain Optimization, and Industrial Automation), and By End-Use Industry (Automotive, Electronics & Semiconductors, Aerospace & Defense, Pharmaceuticals, Food & Beverage, Chemicals, Consumer Goods, and Others) Forecast Period (2026-2035)” at https://www.omrglobal.com/industry-reports/ai-in-manufacturing-market

Another important factor influencing the market is the increasing emphasis on digital transformation across industrial operations. Companies are integrating AI with robotics and connected devices to enable more coordinated and adaptive production environments. The expansion of edge computing capabilities is allowing faster data processing closer to the source of operations, reducing dependency on centralized systems. A notable trend is the growing use of AI in quality inspection and process optimization, where consistency and precision are critical. Workforce optimization and skill augmentation through AI-assisted systems are also gaining attention in manufacturing strategies. Overall, the market is evolving toward more autonomous and data-driven production models supported by continuous technological advancement.

Competitive Landscape of the AI in Manufacturing Market

The key players in the AI in manufacturing market are Siemens AG, Rockwell Automation Inc., ABB Ltd., Honeywell International Inc., and Schneider Electric SE., among others. The competitive landscape is shaped by established industrial technology providers that focus on integrating AI into automation, control systems, and connected manufacturing platforms. These companies are advancing capabilities in predictive analytics, process optimization, and intelligent robotics to support more efficient production environments. Strategic investments in digital ecosystems and software-driven solutions are also enabling broader adoption of AI across industrial operations. Collaboration with enterprise clients and technology partners continues to play a key role in strengthening solution deployment and scalability.

• In November 2025, Rockwell Automation expanded its industrial AI capabilities by enhancing its FactoryTalk platform with new generative and predictive intelligence features aimed at improving production visibility and operational decision-making. The updated offering integrates AI-driven analytics into control and monitoring systems, enabling manufacturers to detect anomalies, optimize workflows, and reduce unplanned downtime. The company also strengthened its collaboration with industrial software and cloud partners to improve interoperability across connected factory environments.

Market Coverage

• The market number available for – 2025-2035
• Base year- 2025
• Forecast period- 2026-2035
• Segment Covered-
  • By Component
  • By Technology
  • By Deployment Mode
  • By Application
  • By End-Use Industry
• Regions Covered-
  • North America
  • Europe
  • Asia-Pacific
  • Rest of the World
• Competitive Landscape - Siemens AG, Rockwell Automation Inc., ABB Ltd., Honeywell International Inc., and Schneider Electric SE., among others.

Key questions addressed by the report.

• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?

Global AI in Manufacturing Market Report Segment

By Component

• Hardware
• Software
• Services

By Technology

• Machine Learning
• Deep Learning
• Computer Vision
• NLP
• Generative AI
• Others

By Deployment Mode

• On-Premise
• Cloud

By Application

• Predictive Maintenance
• Quality Inspection
• Production Optimization
• Supply Chain Optimization
• Industrial Automation

By End-Use Industry

• Automotive
• Electronics & Semiconductors
• Aerospace & Defense
• Pharmaceuticals
• Food & Beverage
• Chemicals
• Consumer Goods
• Others

Global AI in Manufacturing Market Report Segment by Region

North America

• United States
• Canada

Europe

• UK
• Germany
• Italy
• Spain
• France
• Russia
• Rest of Europe

Asia-Pacific

• China
• India
• Japan
• South Korea
• Australia and New Zealand
• ASEAN Economies
• Rest of Asia-Pacific

Rest of the World

• Latin America
• Middle East & Africa

To learn more about this report request a sample copy @ https://www.omrglobal.com/request-sample/ai-in-manufacturing-market