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Global Machine Intelligence Market Research Report 2024
Synopsis
Machine intelligence is an extension of the new generation of automation, used to assist humans, change the nature of work, and make work more efficient. The basis of machine intelligence is computing, and the core is a machine that can learn, which brings humans into an intelligent society. Machine intelligence imitates many human abilities:
1. Perception, such as AI’s visual function and image recognition ability;
2. Mobility, allowing the machine to act like a human, such as handling object handling tasks in a variety of different situations;
3. Human IQ, based on the research of network models and algorithms, uses artificial neural networks to form practical application systems. When a machine has human IQ and can think and handle problems like a human, this is also a high degree of artificial intelligence;
4. Creativity. Creativity is actually the ability to learn. If a machine wants to have the ability to learn and create like a human, it also needs to learn. We call it "deep learning." The motivation is to build a neural network that can simulate the human brain for analytical learning. It imitates the mechanism of the human brain to interpret data.
The global Machine Intelligence market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Machine Intelligence is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Machine Intelligence is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Machine Intelligence in Healthcare is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Machine Intelligence include Bsh Hausgeräte, Fanuc, Hanson Robotics, Harman International Industries, IBM, Intel, Cisco Systems, ABB and Fanuc, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Machine Intelligence, 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 Intelligence.
Report Scope
The Machine Intelligence market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Machine Intelligence market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Machine Intelligence companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Bsh Hausgeräte
Fanuc
Hanson Robotics
Harman International Industries
IBM
Intel
Cisco Systems
ABB
Fanuc
Segment by Type
Hardware
Software
Services
Segment by Application
Healthcare
Manufacturing
Automotive
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Machine Intelligence companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Machine intelligence is an extension of the new generation of automation, used to assist humans, change the nature of work, and make work more efficient. The basis of machine intelligence is computing, and the core is a machine that can learn, which brings humans into an intelligent society. Machine intelligence imitates many human abilities:
1. Perception, such as AI’s visual function and image recognition ability;
2. Mobility, allowing the machine to act like a human, such as handling object handling tasks in a variety of different situations;
3. Human IQ, based on the research of network models and algorithms, uses artificial neural networks to form practical application systems. When a machine has human IQ and can think and handle problems like a human, this is also a high degree of artificial intelligence;
4. Creativity. Creativity is actually the ability to learn. If a machine wants to have the ability to learn and create like a human, it also needs to learn. We call it "deep learning." The motivation is to build a neural network that can simulate the human brain for analytical learning. It imitates the mechanism of the human brain to interpret data.
The global Machine Intelligence market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Machine Intelligence is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Machine Intelligence is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Machine Intelligence in Healthcare is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Machine Intelligence include Bsh Hausgeräte, Fanuc, Hanson Robotics, Harman International Industries, IBM, Intel, Cisco Systems, ABB and Fanuc, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Machine Intelligence, 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 Intelligence.
Report Scope
The Machine Intelligence market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Machine Intelligence market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Machine Intelligence companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Bsh Hausgeräte
Fanuc
Hanson Robotics
Harman International Industries
IBM
Intel
Cisco Systems
ABB
Fanuc
Segment by Type
Hardware
Software
Services
Segment by Application
Healthcare
Manufacturing
Automotive
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Machine Intelligence companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Intelligence Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Market by Application
1.3.1 Global Machine Intelligence Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Healthcare
1.3.3 Manufacturing
1.3.4 Automotive
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Intelligence Market Perspective (2019-2030)
2.2 Machine Intelligence Growth Trends by Region
2.2.1 Global Machine Intelligence Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Intelligence Historic Market Size by Region (2019-2024)
2.2.3 Machine Intelligence Forecasted Market Size by Region (2025-2030)
2.3 Machine Intelligence Market Dynamics
2.3.1 Machine Intelligence Industry Trends
2.3.2 Machine Intelligence Market Drivers
2.3.3 Machine Intelligence Market Challenges
2.3.4 Machine Intelligence Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Intelligence Players by Revenue
3.1.1 Global Top Machine Intelligence Players by Revenue (2019-2024)
3.1.2 Global Machine Intelligence Revenue Market Share by Players (2019-2024)
3.2 Global Machine Intelligence Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Intelligence Revenue
3.4 Global Machine Intelligence Market Concentration Ratio
3.4.1 Global Machine Intelligence Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Intelligence Revenue in 2023
3.5 Machine Intelligence Key Players Head office and Area Served
3.6 Key Players Machine Intelligence Product Solution and Service
3.7 Date of Enter into Machine Intelligence Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Intelligence Breakdown Data by Type
4.1 Global Machine Intelligence Historic Market Size by Type (2019-2024)
4.2 Global Machine Intelligence Forecasted Market Size by Type (2025-2030)
5 Machine Intelligence Breakdown Data by Application
5.1 Global Machine Intelligence Historic Market Size by Application (2019-2024)
5.2 Global Machine Intelligence Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Intelligence Market Size (2019-2030)
6.2 North America Machine Intelligence Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Machine Intelligence Market Size by Country (2019-2024)
6.4 North America Machine Intelligence Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Intelligence Market Size (2019-2030)
7.2 Europe Machine Intelligence Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Machine Intelligence Market Size by Country (2019-2024)
7.4 Europe Machine Intelligence Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Machine Intelligence Market Size (2019-2030)
8.2 Asia-Pacific Machine Intelligence Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Machine Intelligence Market Size by Region (2019-2024)
8.4 Asia-Pacific Machine Intelligence Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Machine Intelligence Market Size (2019-2030)
9.2 Latin America Machine Intelligence Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Machine Intelligence Market Size by Country (2019-2024)
9.4 Latin America Machine Intelligence Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Intelligence Market Size (2019-2030)
10.2 Middle East & Africa Machine Intelligence Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Machine Intelligence Market Size by Country (2019-2024)
10.4 Middle East & Africa Machine Intelligence Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Bsh Hausgeräte
11.1.1 Bsh Hausgeräte Company Detail
11.1.2 Bsh Hausgeräte Business Overview
11.1.3 Bsh Hausgeräte Machine Intelligence Introduction
11.1.4 Bsh Hausgeräte Revenue in Machine Intelligence Business (2019-2024)
11.1.5 Bsh Hausgeräte Recent Development
11.2 Fanuc
11.2.1 Fanuc Company Detail
11.2.2 Fanuc Business Overview
11.2.3 Fanuc Machine Intelligence Introduction
11.2.4 Fanuc Revenue in Machine Intelligence Business (2019-2024)
11.2.5 Fanuc Recent Development
11.3 Hanson Robotics
11.3.1 Hanson Robotics Company Detail
11.3.2 Hanson Robotics Business Overview
11.3.3 Hanson Robotics Machine Intelligence Introduction
11.3.4 Hanson Robotics Revenue in Machine Intelligence Business (2019-2024)
11.3.5 Hanson Robotics Recent Development
11.4 Harman International Industries
11.4.1 Harman International Industries Company Detail
11.4.2 Harman International Industries Business Overview
11.4.3 Harman International Industries Machine Intelligence Introduction
11.4.4 Harman International Industries Revenue in Machine Intelligence Business (2019-2024)
11.4.5 Harman International Industries Recent Development
11.5 IBM
11.5.1 IBM Company Detail
11.5.2 IBM Business Overview
11.5.3 IBM Machine Intelligence Introduction
11.5.4 IBM Revenue in Machine Intelligence Business (2019-2024)
11.5.5 IBM Recent Development
11.6 Intel
11.6.1 Intel Company Detail
11.6.2 Intel Business Overview
11.6.3 Intel Machine Intelligence Introduction
11.6.4 Intel Revenue in Machine Intelligence Business (2019-2024)
11.6.5 Intel Recent Development
11.7 Cisco Systems
11.7.1 Cisco Systems Company Detail
11.7.2 Cisco Systems Business Overview
11.7.3 Cisco Systems Machine Intelligence Introduction
11.7.4 Cisco Systems Revenue in Machine Intelligence Business (2019-2024)
11.7.5 Cisco Systems Recent Development
11.8 ABB
11.8.1 ABB Company Detail
11.8.2 ABB Business Overview
11.8.3 ABB Machine Intelligence Introduction
11.8.4 ABB Revenue in Machine Intelligence Business (2019-2024)
11.8.5 ABB Recent Development
11.9 Fanuc
11.9.1 Fanuc Company Detail
11.9.2 Fanuc Business Overview
11.9.3 Fanuc Machine Intelligence Introduction
11.9.4 Fanuc Revenue in Machine Intelligence Business (2019-2024)
11.9.5 Fanuc Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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