Market Overview:
The global artificial industrial in manufacturing market is expected to grow at a CAGR of 6.5% during the forecast period from 2018 to 2030. The growth of this market can be attributed to the increasing demand for artificial intelligence (AI) in manufacturing applications, rising adoption of Industry 4.0 and IIoT technologies, and growing need for improved quality and productivity in manufacturing processes. The hardware segment is expected to account for the largest share of the global artificial industrial in manufacturing market during the forecast period, followed by software. The hardware segment includes sensors, controllers, actuators, motors, and other components used in industrial automation systems. The software segment includes AI-based applications such as machine learning algorithms that are used to improve process efficiency and product quality. The semiconductor and electronics application segment is expected to account for the largest share of the global artificial industrial in manufacturing market during the forecast period. This application segment is driven by increasing demand from end-use industries such as automotive, aerospace & defense, telecommunications & ITES,, medical devices,, consumer electronics,, etc.
Product Definition:
The term "artificial industrial" in manufacturing generally refers to the use of machines, tools and other equipment to produce or modify products. This type of industry is important because it helps to increase productivity and efficiency while also reducing costs. Additionally, it can help companies to better compete in the global marketplace.
Hardware:
Hardware is the physical devices or tools which are used to produce industrial automation products. It includes machines, robots, computer systems and other electronic devices. Hardware is an important part of artificial intelligence in manufacturing (AI) as it helps in carrying out the instructions program by performing certain tasks which are done by software only.
Hardware acts as a bridge between man & machine; helping humans to work more efficiently and effectively with machines for production purposes.
Software:
Software is a set of instructions which are used to direct and control the operations of an industrial process. It helps in carrying out various manufacturing processes such as designing, planning, controlling and monitoring. The software is used by the industries for automation purposes to increase their production capacity with less human intervention.
Application Insights:
The application segment is segregated into seven sub-segments, namely semiconductor and electronics; energy and power; pharmaceuticals; automobile manufacturing; heavy metals and machinery manufacturing; food beverages, textiles, aerospace and other. The semiconductor and electronics segment accounted for the largest market share in 2017 owing to the growing demand for electronic devices across the globe. This trend is expected to continue over the forecast period as various governments are investing heavily in research & development activities related to artificial intelligence (AI) technology.
The AI-enabled robots can be deployed on a large scale in automated factories as they are more efficient than humans at repetitive tasks that require minimal monitoring such as sensor cleaning or replacement. Moreover, these robots can be trained easily with little effort by providing them with digital images of how products should look like after they have been manufactured successfully which will result in increased adoption of such systems over the coming years.
Regional Analysis:
Asia Pacific is expected to emerge as the fastest-growing region over the forecast period. The growth can be attributed to increasing investments in R&D and implementation of advanced technologies across various industries. In addition, favorable government policies are anticipated to drive regional market growth during the forecast period. Increasing demand for electronics in emerging economies such as China and India is also expected to contribute toward industry expansion over the next eight years.
The European artificial intelligence (AI) manufacturing technology market was dominated by Germany, which accounted for a revenue share of 23% in 2017 owing to high investments made by companies operating within this region towards research & development activities related AI-based production processes across numerous industries such as automotive, aerospace components, pharmaceuticals, etc.
Growth Factors:
- Increasing demand for artificial intelligence in manufacturing to improve quality and efficiency of processes.
- Growing number of industrial robots due to the increasing demand from automotive and electronics industries.
- Rising adoption of additive manufacturing or 3D printing technology for rapid prototyping and customised products.
- Proliferation of IIoT and big data analytics to drive operational efficiency in factories.
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Industrial in Manufacturing Market Research Report
By Type
Hardware, Software
By Application
Semiconductor and Electronics, Energy and Power, Pharmaceuticals, Automobile, Heavy Metals and Machine Manufacturing, Food and Beverages, Textiles, Aerospace, Others
By Companies
Intel Corporation, Siemens AG, IBM Corporation, Alphabet Inc, Microsoft Corporation, Cisco Systems, General Electric Company, Data RPM, Sight Machine, General Vision, Rockwell, Automation Inc, Intel Corporation, Oracle Corporation, SAP SE
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
206
Number of Tables & Figures
145
Customization Available
Yes, the report can be customized as per your need.
Global Artificial Industrial in Manufacturing Market Report Segments:
The global Artificial Industrial in Manufacturing market is segmented on the basis of:
Types
Hardware, Software
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Semiconductor and Electronics, Energy and Power, Pharmaceuticals, Automobile, Heavy Metals and Machine Manufacturing, Food and Beverages, Textiles, Aerospace, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Intel Corporation
- Siemens AG
- IBM Corporation
- Alphabet Inc
- Microsoft Corporation
- Cisco Systems
- General Electric Company
- Data RPM, Sight Machine
- General Vision
- Rockwell, Automation Inc
- Intel Corporation
- Oracle Corporation
- SAP SE
Highlights of The Artificial Industrial in Manufacturing Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Hardware
- Software
- By Application:
- Semiconductor and Electronics
- Energy and Power
- Pharmaceuticals
- Automobile
- Heavy Metals and Machine Manufacturing
- Food and Beverages
- Textiles
- Aerospace
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Industrial in Manufacturing Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Artificial industrial in manufacturing is a type of industry that uses machines and technology to create products.
Some of the key players operating in the artificial industrial in manufacturing market are Intel Corporation, Siemens AG, IBM Corporation, Alphabet Inc, Microsoft Corporation, Cisco Systems, General Electric Company, Data RPM, Sight Machine, General Vision, Rockwell, Automation Inc, Intel Corporation, Oracle Corporation, SAP SE.
The artificial industrial in manufacturing market is expected to grow at a compound annual growth rate of 6.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Industrial in Manufacturing Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Artificial Industrial in Manufacturing Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Artificial Industrial in Manufacturing Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Artificial Industrial in Manufacturing Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Artificial Industrial in Manufacturing Market Size & Forecast, 2020-2028 4.5.1 Artificial Industrial in Manufacturing Market Size and Y-o-Y Growth 4.5.2 Artificial Industrial in Manufacturing Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Hardware
5.2.2 Software
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Semiconductor and Electronics
6.2.2 Energy and Power
6.2.3 Pharmaceuticals
6.2.4 Automobile
6.2.5 Heavy Metals and Machine Manufacturing
6.2.6 Food and Beverages
6.2.7 Textiles
6.2.8 Aerospace
6.2.9 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Artificial Industrial in Manufacturing Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Artificial Industrial in Manufacturing Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Hardware
9.6.2 Software
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Semiconductor and Electronics
9.10.2 Energy and Power
9.10.3 Pharmaceuticals
9.10.4 Automobile
9.10.5 Heavy Metals and Machine Manufacturing
9.10.6 Food and Beverages
9.10.7 Textiles
9.10.8 Aerospace
9.10.9 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Hardware
10.6.2 Software
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Semiconductor and Electronics
10.10.2 Energy and Power
10.10.3 Pharmaceuticals
10.10.4 Automobile
10.10.5 Heavy Metals and Machine Manufacturing
10.10.6 Food and Beverages
10.10.7 Textiles
10.10.8 Aerospace
10.10.9 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Hardware
11.6.2 Software
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Semiconductor and Electronics
11.10.2 Energy and Power
11.10.3 Pharmaceuticals
11.10.4 Automobile
11.10.5 Heavy Metals and Machine Manufacturing
11.10.6 Food and Beverages
11.10.7 Textiles
11.10.8 Aerospace
11.10.9 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Hardware
12.6.2 Software
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Semiconductor and Electronics
12.10.2 Energy and Power
12.10.3 Pharmaceuticals
12.10.4 Automobile
12.10.5 Heavy Metals and Machine Manufacturing
12.10.6 Food and Beverages
12.10.7 Textiles
12.10.8 Aerospace
12.10.9 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Hardware
13.6.2 Software
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Semiconductor and Electronics
13.10.2 Energy and Power
13.10.3 Pharmaceuticals
13.10.4 Automobile
13.10.5 Heavy Metals and Machine Manufacturing
13.10.6 Food and Beverages
13.10.7 Textiles
13.10.8 Aerospace
13.10.9 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Artificial Industrial in Manufacturing Market: Competitive Dashboard
14.2 Global Artificial Industrial in Manufacturing Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Intel Corporation
14.3.2 Siemens AG
14.3.3 IBM Corporation
14.3.4 Alphabet Inc
14.3.5 Microsoft Corporation
14.3.6 Cisco Systems
14.3.7 General Electric Company
14.3.8 Data RPM, Sight Machine
14.3.9 General Vision
14.3.10 Rockwell, Automation Inc
14.3.11 Intel Corporation
14.3.12 Oracle Corporation
14.3.13 SAP SE