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Global Embedded AI Computing Platform Market Research Report 2024
Synopsis
Over the last decade, the use of Embedded AI Computing Platform has witnessed tremendous growth in recent years due to increased usage in end-user industries. Embedded AI computing system is a combination of AI software and applications which are designed to perform certain dedicated task and function in an electrical device. Embedded AI system helps and assists in producing actionable results for end-users via the use of advanced analytics. With the use of AI systems, the business can improve its performance and customer experience. Microprocessors, microcontrollers, and other software supported with chips are important for embedded AI systems. AI is ben also employed in video games such as bots in the game which are designed to play as an opponent where humans are desired or can't stand.Since the embedded system is designed and dedicated to a specific task, end users can use it to reduce the cost of the product and to improve reliability and performance. These systems have diverse features such as high speed, adaptability, accuracy, and low power consumption performing functions such as data processing, simplification and transmitting data, and others.
Global Embedded AI Computing Platform market is projected to reach US$ 1754.6 million in 2029, increasing from US$ 1134 million in 2022, with the CAGR of 6.7% during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Embedded AI Computing Platform market research.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.41%, including software, hardware and services.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Embedded AI Computing Platform market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Ascent
Osaro
Riskified
Nvidia
Nuro
Tempus
DataRobot
Freenome
Grammarly
CloudMinds
H20.ai
Nauto
Sift Science
SoundHound
Segment by Type
Cloud
On-Premise
Segment by Application
Automotive
IoT
Healthcare
Consumer Electronic
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
The Embedded AI Computing Platform report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Over the last decade, the use of Embedded AI Computing Platform has witnessed tremendous growth in recent years due to increased usage in end-user industries. Embedded AI computing system is a combination of AI software and applications which are designed to perform certain dedicated task and function in an electrical device. Embedded AI system helps and assists in producing actionable results for end-users via the use of advanced analytics. With the use of AI systems, the business can improve its performance and customer experience. Microprocessors, microcontrollers, and other software supported with chips are important for embedded AI systems. AI is ben also employed in video games such as bots in the game which are designed to play as an opponent where humans are desired or can't stand.Since the embedded system is designed and dedicated to a specific task, end users can use it to reduce the cost of the product and to improve reliability and performance. These systems have diverse features such as high speed, adaptability, accuracy, and low power consumption performing functions such as data processing, simplification and transmitting data, and others.
Global Embedded AI Computing Platform market is projected to reach US$ 1754.6 million in 2029, increasing from US$ 1134 million in 2022, with the CAGR of 6.7% during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Embedded AI Computing Platform market research.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.41%, including software, hardware and services.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Embedded AI Computing Platform market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Ascent
Osaro
Riskified
Nvidia
Nuro
Tempus
DataRobot
Freenome
Grammarly
CloudMinds
H20.ai
Nauto
Sift Science
SoundHound
Segment by Type
Cloud
On-Premise
Segment by Application
Automotive
IoT
Healthcare
Consumer Electronic
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
The Embedded AI Computing Platform report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Embedded AI Computing Platform Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud
1.2.3 On-Premise
1.3 Market by Application
1.3.1 Global Embedded AI Computing Platform Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Automotive
1.3.3 IoT
1.3.4 Healthcare
1.3.5 Consumer Electronic
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Embedded AI Computing Platform Market Perspective (2018-2029)
2.2 Embedded AI Computing Platform Growth Trends by Region
2.2.1 Global Embedded AI Computing Platform Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Embedded AI Computing Platform Historic Market Size by Region (2018-2023)
2.2.3 Embedded AI Computing Platform Forecasted Market Size by Region (2024-2029)
2.3 Embedded AI Computing Platform Market Dynamics
2.3.1 Embedded AI Computing Platform Industry Trends
2.3.2 Embedded AI Computing Platform Market Drivers
2.3.3 Embedded AI Computing Platform Market Challenges
2.3.4 Embedded AI Computing Platform Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Embedded AI Computing Platform Players by Revenue
3.1.1 Global Top Embedded AI Computing Platform Players by Revenue (2018-2023)
3.1.2 Global Embedded AI Computing Platform Revenue Market Share by Players (2018-2023)
3.2 Global Embedded AI Computing Platform Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Embedded AI Computing Platform Revenue
3.4 Global Embedded AI Computing Platform Market Concentration Ratio
3.4.1 Global Embedded AI Computing Platform Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Embedded AI Computing Platform Revenue in 2022
3.5 Embedded AI Computing Platform Key Players Head office and Area Served
3.6 Key Players Embedded AI Computing Platform Product Solution and Service
3.7 Date of Enter into Embedded AI Computing Platform Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Embedded AI Computing Platform Breakdown Data by Type
4.1 Global Embedded AI Computing Platform Historic Market Size by Type (2018-2023)
4.2 Global Embedded AI Computing Platform Forecasted Market Size by Type (2024-2029)
5 Embedded AI Computing Platform Breakdown Data by Application
5.1 Global Embedded AI Computing Platform Historic Market Size by Application (2018-2023)
5.2 Global Embedded AI Computing Platform Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Embedded AI Computing Platform Market Size (2018-2029)
6.2 North America Embedded AI Computing Platform Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Embedded AI Computing Platform Market Size by Country (2018-2023)
6.4 North America Embedded AI Computing Platform Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Embedded AI Computing Platform Market Size (2018-2029)
7.2 Europe Embedded AI Computing Platform Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Embedded AI Computing Platform Market Size by Country (2018-2023)
7.4 Europe Embedded AI Computing Platform Market Size by Country (2024-2029)
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 Embedded AI Computing Platform Market Size (2018-2029)
8.2 Asia-Pacific Embedded AI Computing Platform Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Embedded AI Computing Platform Market Size by Region (2018-2023)
8.4 Asia-Pacific Embedded AI Computing Platform Market Size by Region (2024-2029)
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 Embedded AI Computing Platform Market Size (2018-2029)
9.2 Latin America Embedded AI Computing Platform Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Embedded AI Computing Platform Market Size by Country (2018-2023)
9.4 Latin America Embedded AI Computing Platform Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Embedded AI Computing Platform Market Size (2018-2029)
10.2 Middle East & Africa Embedded AI Computing Platform Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Embedded AI Computing Platform Market Size by Country (2018-2023)
10.4 Middle East & Africa Embedded AI Computing Platform Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Ascent
11.1.1 Ascent Company Detail
11.1.2 Ascent Business Overview
11.1.3 Ascent Embedded AI Computing Platform Introduction
11.1.4 Ascent Revenue in Embedded AI Computing Platform Business (2018-2023)
11.1.5 Ascent Recent Development
11.2 Osaro
11.2.1 Osaro Company Detail
11.2.2 Osaro Business Overview
11.2.3 Osaro Embedded AI Computing Platform Introduction
11.2.4 Osaro Revenue in Embedded AI Computing Platform Business (2018-2023)
11.2.5 Osaro Recent Development
11.3 Riskified
11.3.1 Riskified Company Detail
11.3.2 Riskified Business Overview
11.3.3 Riskified Embedded AI Computing Platform Introduction
11.3.4 Riskified Revenue in Embedded AI Computing Platform Business (2018-2023)
11.3.5 Riskified Recent Development
11.4 Nvidia
11.4.1 Nvidia Company Detail
11.4.2 Nvidia Business Overview
11.4.3 Nvidia Embedded AI Computing Platform Introduction
11.4.4 Nvidia Revenue in Embedded AI Computing Platform Business (2018-2023)
11.4.5 Nvidia Recent Development
11.5 Nuro
11.5.1 Nuro Company Detail
11.5.2 Nuro Business Overview
11.5.3 Nuro Embedded AI Computing Platform Introduction
11.5.4 Nuro Revenue in Embedded AI Computing Platform Business (2018-2023)
11.5.5 Nuro Recent Development
11.6 Tempus
11.6.1 Tempus Company Detail
11.6.2 Tempus Business Overview
11.6.3 Tempus Embedded AI Computing Platform Introduction
11.6.4 Tempus Revenue in Embedded AI Computing Platform Business (2018-2023)
11.6.5 Tempus Recent Development
11.7 DataRobot
11.7.1 DataRobot Company Detail
11.7.2 DataRobot Business Overview
11.7.3 DataRobot Embedded AI Computing Platform Introduction
11.7.4 DataRobot Revenue in Embedded AI Computing Platform Business (2018-2023)
11.7.5 DataRobot Recent Development
11.8 Freenome
11.8.1 Freenome Company Detail
11.8.2 Freenome Business Overview
11.8.3 Freenome Embedded AI Computing Platform Introduction
11.8.4 Freenome Revenue in Embedded AI Computing Platform Business (2018-2023)
11.8.5 Freenome Recent Development
11.9 Grammarly
11.9.1 Grammarly Company Detail
11.9.2 Grammarly Business Overview
11.9.3 Grammarly Embedded AI Computing Platform Introduction
11.9.4 Grammarly Revenue in Embedded AI Computing Platform Business (2018-2023)
11.9.5 Grammarly Recent Development
11.10 CloudMinds
11.10.1 CloudMinds Company Detail
11.10.2 CloudMinds Business Overview
11.10.3 CloudMinds Embedded AI Computing Platform Introduction
11.10.4 CloudMinds Revenue in Embedded AI Computing Platform Business (2018-2023)
11.10.5 CloudMinds Recent Development
11.11 H20.ai
11.11.1 H20.ai Company Detail
11.11.2 H20.ai Business Overview
11.11.3 H20.ai Embedded AI Computing Platform Introduction
11.11.4 H20.ai Revenue in Embedded AI Computing Platform Business (2018-2023)
11.11.5 H20.ai Recent Development
11.12 Nauto
11.12.1 Nauto Company Detail
11.12.2 Nauto Business Overview
11.12.3 Nauto Embedded AI Computing Platform Introduction
11.12.4 Nauto Revenue in Embedded AI Computing Platform Business (2018-2023)
11.12.5 Nauto Recent Development
11.13 Sift Science
11.13.1 Sift Science Company Detail
11.13.2 Sift Science Business Overview
11.13.3 Sift Science Embedded AI Computing Platform Introduction
11.13.4 Sift Science Revenue in Embedded AI Computing Platform Business (2018-2023)
11.13.5 Sift Science Recent Development
11.14 SoundHound
11.14.1 SoundHound Company Detail
11.14.2 SoundHound Business Overview
11.14.3 SoundHound Embedded AI Computing Platform Introduction
11.14.4 SoundHound Revenue in Embedded AI Computing Platform Business (2018-2023)
11.14.5 SoundHound 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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