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
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
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