Machine Learning in Manufacturing - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509247853

Publication Date:

September 26, 2024

Pages:

111

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Machine Learning in manufacturing can be used in visual quality control. Quality assurance in manufacturing is demanding and expensive, yes, but also absolutely crucial. After all, selling flawed goods results in returns and disappointed customers. Harnessing the power of image recognition and deep learning may significantly reduce the cost of visual quality control while also boosting overall process efficiency.
The global market for Machine Learning in Manufacturing was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for Machine Learning in Manufacturing was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Machine Learning in Manufacturing was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Machine Learning in Manufacturing was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Machine Learning in Manufacturing include Intel, IBM, Siemens, GE, Google, Microsoft, Micron Technology, Amazon Web Services (AWS) and Nvidia, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Machine Learning in Manufacturing, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Machine Learning in Manufacturing by region & country, by Type, and by Application.
The Machine Learning in Manufacturing market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Machine Learning in Manufacturing.
Market Segmentation
By Company
Intel
IBM
Siemens
GE
Google
Microsoft
Micron Technology
Amazon Web Services (AWS)
Nvidia
Sight Machine
Segment by Type:
Hardware
Software
Services
Segment by Application
Automobile
Energy and Power
Pharmaceuticals
Heavy Metals and Machine Manufacturing
Semiconductors and Electronics
Food & Beverages
Others
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Machine Learning in Manufacturing manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Machine Learning in Manufacturing in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Machine Learning in Manufacturing in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Machine Learning in Manufacturing Product Introduction
1.2 Global Machine Learning in Manufacturing Market Size Forecast
1.3 Machine Learning in Manufacturing Market Trends & Drivers
1.3.1 Machine Learning in Manufacturing Industry Trends
1.3.2 Machine Learning in Manufacturing Market Drivers & Opportunity
1.3.3 Machine Learning in Manufacturing Market Challenges
1.3.4 Machine Learning in Manufacturing Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Machine Learning in Manufacturing Players Revenue Ranking (2023)
2.2 Global Machine Learning in Manufacturing Revenue by Company (2019-2024)
2.3 Key Companies Machine Learning in Manufacturing Manufacturing Base Distribution and Headquarters
2.4 Key Companies Machine Learning in Manufacturing Product Offered
2.5 Key Companies Time to Begin Mass Production of Machine Learning in Manufacturing
2.6 Machine Learning in Manufacturing Market Competitive Analysis
2.6.1 Machine Learning in Manufacturing Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Machine Learning in Manufacturing Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Machine Learning in Manufacturing as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software
3.1.3 Services
3.2 Global Machine Learning in Manufacturing Sales Value by Type
3.2.1 Global Machine Learning in Manufacturing Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Machine Learning in Manufacturing Sales Value, by Type (2019-2030)
3.2.3 Global Machine Learning in Manufacturing Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Automobile
4.1.2 Energy and Power
4.1.3 Pharmaceuticals
4.1.4 Heavy Metals and Machine Manufacturing
4.1.5 Semiconductors and Electronics
4.1.6 Food & Beverages
4.1.7 Others
4.2 Global Machine Learning in Manufacturing Sales Value by Application
4.2.1 Global Machine Learning in Manufacturing Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Machine Learning in Manufacturing Sales Value, by Application (2019-2030)
4.2.3 Global Machine Learning in Manufacturing Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Machine Learning in Manufacturing Sales Value by Region
5.1.1 Global Machine Learning in Manufacturing Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Machine Learning in Manufacturing Sales Value by Region (2019-2024)
5.1.3 Global Machine Learning in Manufacturing Sales Value by Region (2025-2030)
5.1.4 Global Machine Learning in Manufacturing Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Machine Learning in Manufacturing Sales Value, 2019-2030
5.2.2 North America Machine Learning in Manufacturing Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Machine Learning in Manufacturing Sales Value, 2019-2030
5.3.2 Europe Machine Learning in Manufacturing Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Machine Learning in Manufacturing Sales Value, 2019-2030
5.4.2 Asia Pacific Machine Learning in Manufacturing Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Machine Learning in Manufacturing Sales Value, 2019-2030
5.5.2 South America Machine Learning in Manufacturing Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Machine Learning in Manufacturing Sales Value, 2019-2030
5.6.2 Middle East & Africa Machine Learning in Manufacturing Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Machine Learning in Manufacturing Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Machine Learning in Manufacturing Sales Value
6.3 United States
6.3.1 United States Machine Learning in Manufacturing Sales Value, 2019-2030
6.3.2 United States Machine Learning in Manufacturing Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Machine Learning in Manufacturing Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Machine Learning in Manufacturing Sales Value, 2019-2030
6.4.2 Europe Machine Learning in Manufacturing Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Machine Learning in Manufacturing Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Machine Learning in Manufacturing Sales Value, 2019-2030
6.5.2 China Machine Learning in Manufacturing Sales Value by Type (%), 2023 VS 2030
6.5.3 China Machine Learning in Manufacturing Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Machine Learning in Manufacturing Sales Value, 2019-2030
6.6.2 Japan Machine Learning in Manufacturing Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Machine Learning in Manufacturing Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Machine Learning in Manufacturing Sales Value, 2019-2030
6.7.2 South Korea Machine Learning in Manufacturing Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Machine Learning in Manufacturing Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Machine Learning in Manufacturing Sales Value, 2019-2030
6.8.2 Southeast Asia Machine Learning in Manufacturing Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Machine Learning in Manufacturing Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Machine Learning in Manufacturing Sales Value, 2019-2030
6.9.2 India Machine Learning in Manufacturing Sales Value by Type (%), 2023 VS 2030
6.9.3 India Machine Learning in Manufacturing Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Intel
7.1.1 Intel Profile
7.1.2 Intel Main Business
7.1.3 Intel Machine Learning in Manufacturing Products, Services and Solutions
7.1.4 Intel Machine Learning in Manufacturing Revenue (US$ Million) & (2019-2024)
7.1.5 Intel Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM Machine Learning in Manufacturing Products, Services and Solutions
7.2.4 IBM Machine Learning in Manufacturing Revenue (US$ Million) & (2019-2024)
7.2.5 IBM Recent Developments
7.3 Siemens
7.3.1 Siemens Profile
7.3.2 Siemens Main Business
7.3.3 Siemens Machine Learning in Manufacturing Products, Services and Solutions
7.3.4 Siemens Machine Learning in Manufacturing Revenue (US$ Million) & (2019-2024)
7.3.5 GE Recent Developments
7.4 GE
7.4.1 GE Profile
7.4.2 GE Main Business
7.4.3 GE Machine Learning in Manufacturing Products, Services and Solutions
7.4.4 GE Machine Learning in Manufacturing Revenue (US$ Million) & (2019-2024)
7.4.5 GE Recent Developments
7.5 Google
7.5.1 Google Profile
7.5.2 Google Main Business
7.5.3 Google Machine Learning in Manufacturing Products, Services and Solutions
7.5.4 Google Machine Learning in Manufacturing Revenue (US$ Million) & (2019-2024)
7.5.5 Google Recent Developments
7.6 Microsoft
7.6.1 Microsoft Profile
7.6.2 Microsoft Main Business
7.6.3 Microsoft Machine Learning in Manufacturing Products, Services and Solutions
7.6.4 Microsoft Machine Learning in Manufacturing Revenue (US$ Million) & (2019-2024)
7.6.5 Microsoft Recent Developments
7.7 Micron Technology
7.7.1 Micron Technology Profile
7.7.2 Micron Technology Main Business
7.7.3 Micron Technology Machine Learning in Manufacturing Products, Services and Solutions
7.7.4 Micron Technology Machine Learning in Manufacturing Revenue (US$ Million) & (2019-2024)
7.7.5 Micron Technology Recent Developments
7.8 Amazon Web Services (AWS)
7.8.1 Amazon Web Services (AWS) Profile
7.8.2 Amazon Web Services (AWS) Main Business
7.8.3 Amazon Web Services (AWS) Machine Learning in Manufacturing Products, Services and Solutions
7.8.4 Amazon Web Services (AWS) Machine Learning in Manufacturing Revenue (US$ Million) & (2019-2024)
7.8.5 Amazon Web Services (AWS) Recent Developments
7.9 Nvidia
7.9.1 Nvidia Profile
7.9.2 Nvidia Main Business
7.9.3 Nvidia Machine Learning in Manufacturing Products, Services and Solutions
7.9.4 Nvidia Machine Learning in Manufacturing Revenue (US$ Million) & (2019-2024)
7.9.5 Nvidia Recent Developments
7.10 Sight Machine
7.10.1 Sight Machine Profile
7.10.2 Sight Machine Main Business
7.10.3 Sight Machine Machine Learning in Manufacturing Products, Services and Solutions
7.10.4 Sight Machine Machine Learning in Manufacturing Revenue (US$ Million) & (2019-2024)
7.10.5 Sight Machine Recent Developments
8 Industry Chain Analysis
8.1 Machine Learning in Manufacturing Industrial Chain
8.2 Machine Learning in Manufacturing Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Machine Learning in Manufacturing Sales Model
8.5.2 Sales Channel
8.5.3 Machine Learning in Manufacturing Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Intel
IBM
Siemens
GE
Google
Microsoft
Micron Technology
Amazon Web Services (AWS)
Nvidia
Sight Machine

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