Table of Contents
Historical Data, Premium Insights, Market Dynamic, Analysis and Projection, By Product, Analysis and Projection, By Application, Analysis and Projection, By End-Use, Analysis and Projection, By Regional Analysis, Competitive Landscape, Company Profiles, Market Revenue, Sale & Price Analysis
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According to a research report published by Spherical Insights & Consulting, The Global Artificial Intelligence in Manufacturing Market Size is Expected to Grow from USD 4.05 Billion in 2023 to USD 149.95 Billion by 2033, at a CAGR of 43.5% during the forecast period 2023-2033.
Browse key industry insights spread across 210 pages with 110 Market data tables and figures & charts from the report on the Global Artificial Intelligence in Manufacturing Market Size, Share, and COVID-19 Impact Analysis, By Technology (Machine Learning (ML), Computer Vision, Context Awareness, and Natural Language Processing), By Application (Material Movement, Predictive Maintenance & Machinery Inspection, Production Planning, Field Services, Quality Control & Reclamation, and Others), By End-Use (Semiconductor & Electronics, Energy & Power, Medical Devices, Automobile, Heavy Metal & Machine Manufacturing, and Others), and By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2023 – 2033.
Artificial intelligence in manufacturing refers to the use of machine learning (ML) solutions and deep learning neural networks to optimize manufacturing processes with improved data analysis and decision-making. AI is helping the manufacturing industry by improving efficiency, reducing costs, enhancing product quality, optimizing inventory management, and predicting maintenance needs. The various benefits of AI are anticipated to create opportunities for market players where manufacturing industries largely rely upon conventional techniques and technologies. The growing adoption of smart manufacturing and focus on predictive maintenance & quality control are driving the market demand. Further, the increasing demand for automation and greater efficiency across manufacturing processes are expected to propel artificial intelligence in the manufacturing market. On the contrary, the absence of professional standards and certifications in AI/ML technologies is challenging the market.
The machine learning (ML) segment held the largest revenue share of artificial intelligence in the manufacturing market in 2023.
Based on the technology, the global artificial intelligence in the manufacturing market is divided into machine learning (ML), computer vision, context awareness, and natural language processing. Among these, the machine learning (ML) segment held the largest revenue share of artificial intelligence in the manufacturing market in 2023. Machine learning in manufacturing commonly powers predictive analytics, robotics, predictive maintenance, and automated processes.
The production planning segment dominated the market with the largest market share in 2023.
Based on the application, the global artificial intelligence in the manufacturing market is divided into material movement, predictive maintenance & machinery inspection, production planning, field services, quality control & reclamation, and others. Among these, the production planning segment dominated the market with the largest market share in 2023. Production planning and scheduling processes are essential for aligning manufacturing activities with business objectives, ensuring the resources are efficiently allocated and products are delivered on time.
The medical devices segment dominated the global artificial intelligence in the manufacturing market in 2023.
Based on the end-use, the global artificial intelligence in the manufacturing market is divided into semiconductor & electronics, energy & power, medical devices, automobile, heavy metal & machine manufacturing, and others. Among these, the medical devices segment dominated the global artificial intelligence in the manufacturing market in 2023. The segment comprises data management, remote surgery, diagnostic and procedural assisting, clinical trials, and more. Through ML, AI can lower risk and increase the efficiency of medical device manufacturing.
North America is projected to hold the largest share of the global artificial intelligence in the manufacturing market over the forecast period.
North America is projected to hold the largest share of the global artificial intelligence in the manufacturing market over the forecast period. The advancement in technology and increased investment are the factors that are significantly driving the market for artificial intelligence in manufacturing. The increasing use of cloud-based manufacturing solutions is anticipated to propel the market for AI in manufacturing.
Asia Pacific is predicted to grow at the fastest CAGR in the artificial intelligence manufacturing market over the forecast period. The growing adoption of AI technologies in the manufacturing sector and AI technology advancements in the industry are driving market growth. The surging demand for automation, industrial robots, and Industry 4.0 technologies in the manufacturing sector is driving the market demand.
Company Profiling
Major key players in the artificial intelligence manufacturing market include AIBrain Inc., Amazon Web Services, Aquant Inc., Cisco Systems Inc., General Electric Company, General Vision Inc., Google LLC (Alphabet Inc.), IBM Corporation, Intel Corporation, Micron Technology Inc., Microsoft Corporation, Mitsubishi Electric Corporation, NVIDIA Corporation, Oracle Corporation, Rethink Robotics, Rockwell Automation Inc., SAP SE, Siemens AG, Sight Machine, Spark Cognition Inc., and Others.
Key Target Audience
Recent Developments
Market Segment
This study forecasts revenue at global, regional, and country levels from 2023 to 2033. Spherical Insights has segmented the global artificial intelligence in manufacturing market based on the below-mentioned segments:
Global Artificial Intelligence in Manufacturing Market, By Technology
Global Artificial Intelligence in Manufacturing Market, By Application
Global Artificial Intelligence in Manufacturing Market, By End-Use
Global Artificial Intelligence in Manufacturing Market, Regional Analysis
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