Global Artificial Intelligence in Manufacturing Market Research Report 2023

Report Format: PDF   |   Report ID: 5659124   |   Published Date: January 2023   |   Pages:  300  

Global Artificial Intelligence in Manufacturing Market Size was estimated at USD 2538.09 million in 2022 and is projected to reach USD 42948.47 million by 2028, exhibiting a CAGR of 49.79% during the forecast period.
Global Artificial Intelligence in Manufacturing Market Overview:
Global Artificial Intelligence in Manufacturing Market Report 2022 comes with the extensive industry analysis  development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2022-2028.This research study of Artificial Intelligence in Manufacturing involved the extensive usage of both primary and secondary data sources. This includes the study of various parameters affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry.
Scope of the Artificial Intelligence in Manufacturing Market
The Artificial Intelligence in Manufacturing Market Research report incorporate value chain analysis for each of the product type. Value chain analysis offers in depth information about value addition at each stage.The study includes drivers and restraints for Artificial Intelligence in Manufacturing Market along with their impact on demand during the forecast period. The study also provides key market indicators affecting thegrowth of the market. Research report includes major key player analysis with shares of each player inside market, growth rate and market attractiveness in different endusers/regions. Our study Artificial Intelligence in Manufacturing Market helps user to make precise decision in order to expand their market presence and increase market share.
Impact of COVID-19 on Artificial Intelligence in Manufacturing Market
Report covers Impact of Coronavirus COVID-19: Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost every country around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Artificial Intelligence in Manufacturing market in 2020. The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor/outdoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future.
Global Artificial Intelligence in Manufacturing Market Segmentation
Global Artificial Intelligence in Manufacturing Market Research report comprises of Porter's five forces analysis to do the detail study about its each segmentation like Product segmentation, End user/application segment analysis and Major key players analysis mentioned as below;
By Type, Artificial Intelligence in Manufacturing market has been segmented into:
PLC
SCADA|HMI
MES
ERP
By Application, Artificial Intelligence in Manufacturing market has been segmented into:
Ferrous Metallurgy
Non-ferrous Metallurgy
Mining
Oil and Gas
Chemical
Others
Regional Analysis:
North America (U.S., Canada, Mexico)
Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
Competitive Landscape:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Artificial Intelligence in Manufacturing market study focused on including all the primary level, secondary level and tertiary level competitors in the report. The data generated by conducting the primary and secondary research.The report covers detail analysis of driver, constraints and scope for new players entering the Artificial Intelligence in Manufacturing market.
Top Key Players Covered in Artificial Intelligence in Manufacturing market are:
IBM
SAS
SAP SE
Siemens
Oracle
Microsoft
Mitsubishi Electric Corporation
Huawei
General Electric Company
Intel
Amazon Web Services
Google
Cisco Systems
PROGRESS DataRPM
Salesforce
NVIDIA
Autodesk
Objective to buy this Report:
1. Artificial Intelligence in Manufacturing analysis predicts the representation of this market, supply and demand, capacity, detailed investigations, etc.
2. Even the report, along with the international series, conducts an in-depth study of rules, policies and current policy.
3. In addition, additional factors are mentioned: imports, arrangement of commodity prices for the market, supply and demand of industry products, major manufacturers.
4. The report starts with Artificial Intelligence in Manufacturing market statistics and moves to important points, with dependent markets categorized by market trend by application.
5. Applications of market may also be assessed based on their performances.
6. Other market attributes, such as future aspects, limitations and growth for all departments.
Chapter 1: Introduction
 1.1 Research Objectives
 1.2 Research Methodology
 1.3 Research Process
 1.4 Scope and Coverage
  1.4.1 Market Definition
  1.4.2 Key Questions Answered
 1.5 Market Segmentation

Chapter 2:Executive Summary

Chapter 3:Growth Opportunities By Segment
 3.1 By Type
 3.2 By Application

Chapter 4: Market Landscape
 4.1 Porter's Five Forces Analysis
  4.1.1 Bargaining Power of Supplier
  4.1.2 Threat of New Entrants
  4.1.3 Threat of Substitutes
  4.1.4 Competitive Rivalry
  4.1.5 Bargaining Power Among Buyers
 4.2 Industry Value Chain Analysis
 4.3 Market Dynamics
  4.3.1 Drivers
  4.3.2 Restraints
  4.3.3 Opportunities
  4.5.4 Challenges
 4.4 Pestle Analysis
 4.5 Technological Roadmap
 4.6 Regulatory Landscape
 4.7 SWOT Analysis
 4.8 Price Trend Analysis
 4.9 Patent Analysis
 4.10 Analysis of the Impact of Covid-19
  4.10.1 Impact on the Overall Market
  4.10.2 Impact on the Supply Chain
  4.10.3 Impact on the Key Manufacturers
  4.10.4 Impact on the Pricing

Chapter 5: Artificial Intelligence in Manufacturing Market by Type
 5.1 Artificial Intelligence in Manufacturing Market Overview Snapshot and Growth Engine
 5.2 Artificial Intelligence in Manufacturing Market Overview
 5.3 PLC
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size (2016-2028F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 PLC: Geographic Segmentation
 5.4 SCADA|HMI
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size (2016-2028F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 SCADA|HMI: Geographic Segmentation
 5.5 MES
  5.5.1 Introduction and Market Overview
  5.5.2 Historic and Forecasted Market Size (2016-2028F)
  5.5.3 Key Market Trends, Growth Factors and Opportunities
  5.5.4 MES: Geographic Segmentation
 5.6 ERP
  5.6.1 Introduction and Market Overview
  5.6.2 Historic and Forecasted Market Size (2016-2028F)
  5.6.3 Key Market Trends, Growth Factors and Opportunities
  5.6.4 ERP: Geographic Segmentation

Chapter 6: Artificial Intelligence in Manufacturing Market by Application
 6.1 Artificial Intelligence in Manufacturing Market Overview Snapshot and Growth Engine
 6.2 Artificial Intelligence in Manufacturing Market Overview
 6.3 Ferrous Metallurgy
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size (2016-2028F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 Ferrous Metallurgy: Geographic Segmentation
 6.4 Non-ferrous Metallurgy
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size (2016-2028F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Non-ferrous Metallurgy: Geographic Segmentation
 6.5 Mining
  6.5.1 Introduction and Market Overview
  6.5.2 Historic and Forecasted Market Size (2016-2028F)
  6.5.3 Key Market Trends, Growth Factors and Opportunities
  6.5.4 Mining: Geographic Segmentation
 6.6 Oil and Gas
  6.6.1 Introduction and Market Overview
  6.6.2 Historic and Forecasted Market Size (2016-2028F)
  6.6.3 Key Market Trends, Growth Factors and Opportunities
  6.6.4 Oil and Gas: Geographic Segmentation
 6.7 Chemical
  6.7.1 Introduction and Market Overview
  6.7.2 Historic and Forecasted Market Size (2016-2028F)
  6.7.3 Key Market Trends, Growth Factors and Opportunities
  6.7.4 Chemical: Geographic Segmentation
 6.8 Others
  6.8.1 Introduction and Market Overview
  6.8.2 Historic and Forecasted Market Size (2016-2028F)
  6.8.3 Key Market Trends, Growth Factors and Opportunities
  6.8.4 Others: Geographic Segmentation

Chapter 7: Company Profiles and Competitive Analysis
 7.1 Competitive Landscape
  7.1.1 Competitive Positioning
  7.1.2 Artificial Intelligence in Manufacturing Sales and Market Share By Players
  7.1.3 Industry BCG Matrix
  7.1.4 Heat Map Analysis
  7.1.5 Artificial Intelligence in Manufacturing Industry Concentration Ratio (CR5 and HHI)
  7.1.6 Top 5 Artificial Intelligence in Manufacturing Players Market Share
  7.1.7 Mergers and Acquisitions
  7.1.8 Business Strategies By Top Players
 7.2 IBM
  7.2.1 Company Overview
  7.2.2 Key Executives
  7.2.3 Company Snapshot
  7.2.4 Operating Business Segments
  7.2.5 Product Portfolio
  7.2.6 Business Performance
  7.2.7 Key Strategic Moves and Recent Developments
  7.2.8 SWOT Analysis
 7.3 SAS
 7.4 SAP SE
 7.5 SIEMENS
 7.6 ORACLE
 7.7 MICROSOFT
 7.8 MITSUBISHI ELECTRIC CORPORATION
 7.9 HUAWEI
 7.10 GENERAL ELECTRIC COMPANY
 7.11 INTEL
 7.12 AMAZON WEB SERVICES
 7.13 GOOGLE
 7.14 CISCO SYSTEMS
 7.15 PROGRESS DATARPM
 7.16 SALESFORCE
 7.17 NVIDIA
 7.18 AUTODESK

Chapter 8: Global Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2016-2028
 8.1 Market Overview
 8.2 Historic and Forecasted Market Size By Type
  8.2.1 PLC
  8.2.2 SCADA|HMI
  8.2.3 MES
  8.2.4 ERP
 8.3 Historic and Forecasted Market Size By Application
  8.3.1 Ferrous Metallurgy
  8.3.2 Non-ferrous Metallurgy
  8.3.3 Mining
  8.3.4 Oil and Gas
  8.3.5 Chemical
  8.3.6 Others

Chapter 9: North America Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2016-2028
 9.1 Key Market Trends, Growth Factors and Opportunities
 9.2 Impact of Covid-19
 9.3 Key Players
 9.4 Key Market Trends, Growth Factors and Opportunities
 9.4 Historic and Forecasted Market Size By Type
  9.4.1 PLC
  9.4.2 SCADA|HMI
  9.4.3 MES
  9.4.4 ERP
 9.5 Historic and Forecasted Market Size By Application
  9.5.1 Ferrous Metallurgy
  9.5.2 Non-ferrous Metallurgy
  9.5.3 Mining
  9.5.4 Oil and Gas
  9.5.5 Chemical
  9.5.6 Others
 9.6 Historic and Forecast Market Size by Country
  9.6.1 U.S.
  9.6.2 Canada
  9.6.3 Mexico

Chapter 10: Europe Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2016-2028
 10.1 Key Market Trends, Growth Factors and Opportunities
 10.2 Impact of Covid-19
 10.3 Key Players
 10.4 Key Market Trends, Growth Factors and Opportunities
 10.4 Historic and Forecasted Market Size By Type
  10.4.1 PLC
  10.4.2 SCADA|HMI
  10.4.3 MES
  10.4.4 ERP
 10.5 Historic and Forecasted Market Size By Application
  10.5.1 Ferrous Metallurgy
  10.5.2 Non-ferrous Metallurgy
  10.5.3 Mining
  10.5.4 Oil and Gas
  10.5.5 Chemical
  10.5.6 Others
 10.6 Historic and Forecast Market Size by Country
  10.6.1 Germany
  10.6.2 U.K.
  10.6.3 France
  10.6.4 Italy
  10.6.5 Russia
  10.6.6 Spain
  10.6.7 Rest of Europe

Chapter 11: Asia-Pacific Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2016-2028
 11.1 Key Market Trends, Growth Factors and Opportunities
 11.2 Impact of Covid-19
 11.3 Key Players
 11.4 Key Market Trends, Growth Factors and Opportunities
 11.4 Historic and Forecasted Market Size By Type
  11.4.1 PLC
  11.4.2 SCADA|HMI
  11.4.3 MES
  11.4.4 ERP
 11.5 Historic and Forecasted Market Size By Application
  11.5.1 Ferrous Metallurgy
  11.5.2 Non-ferrous Metallurgy
  11.5.3 Mining
  11.5.4 Oil and Gas
  11.5.5 Chemical
  11.5.6 Others
 11.6 Historic and Forecast Market Size by Country
  11.6.1 China
  11.6.2 India
  11.6.3 Japan
  11.6.4 Singapore
  11.6.5 Australia
  11.6.6 New Zealand
  11.6.7 Rest of APAC

Chapter 12: Middle East & Africa Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2016-2028
 12.1 Key Market Trends, Growth Factors and Opportunities
 12.2 Impact of Covid-19
 12.3 Key Players
 12.4 Key Market Trends, Growth Factors and Opportunities
 12.4 Historic and Forecasted Market Size By Type
  12.4.1 PLC
  12.4.2 SCADA|HMI
  12.4.3 MES
  12.4.4 ERP
 12.5 Historic and Forecasted Market Size By Application
  12.5.1 Ferrous Metallurgy
  12.5.2 Non-ferrous Metallurgy
  12.5.3 Mining
  12.5.4 Oil and Gas
  12.5.5 Chemical
  12.5.6 Others
 12.6 Historic and Forecast Market Size by Country
  12.6.1 Turkey
  12.6.2 Saudi Arabia
  12.6.3 Iran
  12.6.4 UAE
  12.6.5 Africa
  12.6.6 Rest of MEA

Chapter 13: South America Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2016-2028
 13.1 Key Market Trends, Growth Factors and Opportunities
 13.2 Impact of Covid-19
 13.3 Key Players
 13.4 Key Market Trends, Growth Factors and Opportunities
 13.4 Historic and Forecasted Market Size By Type
  13.4.1 PLC
  13.4.2 SCADA|HMI
  13.4.3 MES
  13.4.4 ERP
 13.5 Historic and Forecasted Market Size By Application
  13.5.1 Ferrous Metallurgy
  13.5.2 Non-ferrous Metallurgy
  13.5.3 Mining
  13.5.4 Oil and Gas
  13.5.5 Chemical
  13.5.6 Others
 13.6 Historic and Forecast Market Size by Country
  13.6.1 Brazil
  13.6.2 Argentina
  13.6.3 Rest of SA

Chapter 14 Investment Analysis

Chapter 15 Analyst Viewpoint and Conclusion


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Publisher: Introspective Market Research

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Global Artificial Intelligence in Manufacturing Market Size was estimated at USD 2538.09 million in 2022 and is projected to reach USD 42948.47 million by 2028.

IBM,SAS,SAP SE,Siemens,Oracle,Microsoft,Mitsubishi Electric Corporation,Huawei,General Electric Company,Intel,Amazon Web Services,Google,Cisco Systems,PROGRESS DataRPM,Salesforce,NVIDIA,Autodesk

North America,Europe,Asia-Pacific,South America,Middle East & Africa