Category

Artificial Intelligence In Manufacturing Market Size, Share, Opportunities And Trends By Offering (Hardware, Software, Services), By Technology (Machine Learning, Computer Vision, Context-Aware Computing, NLP), By Application, By Deployment (Cloud, On-Premise), By End-User And By Geography - Forecasts From 2019 To 2024

107 pages
Published on : Sep 2019
Report Code : KSI061612925

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Description

Artificial intelligence (AI), sometimes called machine intelligence, is the ability of a computer program and machines to think and learn. The fourth industrial revolution is said to be carried out by automation. The utilization of AI and robots in the manufacturing sector has revolutionized mass-production. Robots are capable of doing recurring activities, designing product models, eradicating human error and delivering superior levels of quality assurance, which has helped the people focus on more complex and innovative tasks. AI has helped in the business expansion by meeting the increasing demand of customers and by increasing the production capacity. It has been of great use in carrying out dangerous and overly laborious work. The growth of the AI in the manufacturing market can be substantiated by the increasing in data generation, growth in industrial automation, rise of cloud platforms and IoT devices. The other advantages it offers involves its use in predictive analysis, machinery inspection, quality control, and cybersecurity.

However, since the AI in manufacturing faces several challenges in the implementation of AI technology, the market could face constraints to its growth.

The “AI in Manufacturing Market – Forecasts from 2019 to 2024” is an exhaustive study of this niche technology market which aims to present the key market trends through various chapters focusing on different aspects of the market. The study provides a detailed market overview through the market dynamics sections which detail key market, drivers, restraints, and opportunities in the current market. The report analyzes key opportunity regional markets, and the current technology penetration through lifecycle analysis. The report also analyzes the market through comprehensive market segmentation by offering, technology, application, end-user, deployment, and geography. 

The AI in the manufacturing market has been segmented based on offering, technology, application, end-user, deployment, and geography. Based on offering the market has been segmented into Hardware, Software, and Services. By technology, the market has been classified into Machine Learning, Computer Vision, Context-Aware Computing, NLP. By application, the market has been classified into Material Movement, Predictive Maintenance & Machinery Inspection, Production Planning, Field Service. By end-user, the market has been classified into Semiconductor & Electronics, Energy & Power, Pharmaceutical, Automobile, Heavy Metal & machine Manufacturing, and others. By deployment, The market has been classified into Cloud and On-Premise.

Regional analysis has been provided with detailed analysis and forecast for the period 2018 to 2024. The global market has been broken down into North America, South America, Europe, Middle East and Africa, and the Asia Pacific regions. The report also analyzes 15 countries across these regions with thorough analysis and forecast along with prevailing market trends and opportunities which each of these countries present for the manufacturers/service providers.

Major players in the AI in manufacturing market have been covered along with their relative competitive position and strategies. The report also mentions recent deals and investments of different market players over the last year. The company profiles section details the business overview, financial performance for the past three years, key products and services being offered along with the recent developments of these important players in the AI in manufacturing market.

Segmentation:

By Offering

Hardware

Software

Services

 

By Technology

Machine Learning

Computer Vision

Context-Aware Computing

NLP

 

By Application

Material Movement

Predictive Maintenance & Machinery Inspection

Production Planning

Field Service

Quality Control & Reclamation

 

By Deployment

Cloud

On-Premise

 

By End-User

Semiconductor & Electronics

Energy & Power

Pharmaceutical

Automobile

Heavy Metal & Machine Manufacturing

Others

 

By Geography

North America

USA

Mexico

Canada

 

South America

Brazil

Argentina

Others

 

Europe

United Kingdom

Germany

France

Spain

Others

 

Middle East and Africa

Israel

Saudi Arabia

Others

 

Asia Pacific

China

Japan

South Korea

India

Others

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