Global Embedded AI Computing Platform 麻豆原创 Research Report 2024

Publication ID:

PB505242123

Publication Date:

May 27, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
The global Embedded AI Computing Platform market was valued at US$ 1134 million in 2023 and is anticipated to reach US$ 1754.6 million by 2030, witnessing a CAGR of 6.7% during the forecast period 2024-2030.
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 鈧�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$432.8 billion in 2022, a year-on-year increase of 19.41%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for Embedded AI Computing Platform, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Embedded AI Computing Platform.
Report Scope
The Embedded AI Computing Platform market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Embedded AI Computing Platform 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 Embedded AI Computing Platform 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.
麻豆原创 Segmentation
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
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 Embedded AI Computing Platform companies鈥� 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.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Embedded AI Computing Platform 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud
1.2.3 On-Premise
1.3 麻豆原创 by Application
1.3.1 Global Embedded AI Computing Platform 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
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 麻豆原创 Perspective (2019-2030)
2.2 Embedded AI Computing Platform Growth Trends by Region
2.2.1 Global Embedded AI Computing Platform 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Embedded AI Computing Platform Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Embedded AI Computing Platform Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Embedded AI Computing Platform 麻豆原创 Dynamics
2.3.1 Embedded AI Computing Platform Industry Trends
2.3.2 Embedded AI Computing Platform 麻豆原创 Drivers
2.3.3 Embedded AI Computing Platform 麻豆原创 Challenges
2.3.4 Embedded AI Computing Platform 麻豆原创 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 (2019-2024)
3.1.2 Global Embedded AI Computing Platform Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Embedded AI Computing Platform 麻豆原创 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 麻豆原创 Concentration Ratio
3.4.1 Global Embedded AI Computing Platform 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Embedded AI Computing Platform Revenue in 2023
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 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Embedded AI Computing Platform Breakdown Data by Type
4.1 Global Embedded AI Computing Platform Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Embedded AI Computing Platform Forecasted 麻豆原创 Size by Type (2025-2030)
5 Embedded AI Computing Platform Breakdown Data by Application
5.1 Global Embedded AI Computing Platform Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Embedded AI Computing Platform Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Embedded AI Computing Platform 麻豆原创 Size (2019-2030)
6.2 North America Embedded AI Computing Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Embedded AI Computing Platform 麻豆原创 Size by Country (2019-2024)
6.4 North America Embedded AI Computing Platform 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Embedded AI Computing Platform 麻豆原创 Size (2019-2030)
7.2 Europe Embedded AI Computing Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Embedded AI Computing Platform 麻豆原创 Size by Country (2019-2024)
7.4 Europe Embedded AI Computing Platform 麻豆原创 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 Embedded AI Computing Platform 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Embedded AI Computing Platform 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Embedded AI Computing Platform 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Embedded AI Computing Platform 麻豆原创 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 Embedded AI Computing Platform 麻豆原创 Size (2019-2030)
9.2 Latin America Embedded AI Computing Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Embedded AI Computing Platform 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Embedded AI Computing Platform 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Embedded AI Computing Platform 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Embedded AI Computing Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Embedded AI Computing Platform 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Embedded AI Computing Platform 麻豆原创 Size by Country (2025-2030)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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

Companies Mentioned:

Ascent
Osaro
Riskified
Nvidia
Nuro
Tempus
DataRobot
Freenome
Grammarly
CloudMinds
H20.ai
Nauto
Sift Science
SoundHound

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