

The global On-device AI market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
Artificial intelligence is one of the emerging technologies that helps reduce manpower and is entirely based on machine learning. On-device AI refers to the device carrier that runs artificial intelligence.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/52 of that of the United States.
This report includes an overview of the development of the On-device AI industry chain, the market status of Image Identification (Hardware, Software), Speech Recognition (Hardware, Software), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of On-device AI.
Regionally, the report analyzes the On-device AI markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global On-device AI market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the On-device AI market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the On-device AI industry.
The report involves analyzing the market at a macro level:
麻豆原创 Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Hardware, Software).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the On-device AI market.
Regional Analysis: The report involves examining the On-device AI market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
麻豆原创 Projections: Report covers the gathered data and analysis to make future projections and forecasts for the On-device AI market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to On-device AI:
Company Analysis: Report covers individual On-device AI players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards On-device AI This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Image Identification, Speech Recognition).
Technology Analysis: Report covers specific technologies relevant to On-device AI. It assesses the current state, advancements, and potential future developments in On-device AI areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the On-device AI market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
麻豆原创 Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
麻豆原创 Segmentation
On-device AI market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
麻豆原创 segment by Type
Hardware
Software
麻豆原创 segment by Application
Image Identification
Speech Recognition
Image Processing
Medical Imaging
Internet of Things
麻豆原创 segment by players, this report covers
Qualcomm
Fujitsu
Apple
Amazon
Google
SenseTime Group Limited
Counterpoint Research
Huawei
Baidu
NVIDIA
麻豆原创 segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe On-device AI product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of On-device AI, with revenue, gross margin and global market share of On-device AI from 2019 to 2024.
Chapter 3, the On-device AI competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and On-device AI market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of On-device AI.
Chapter 13, to describe On-device AI research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 麻豆原创 Overview
1.1 Product Overview and Scope of On-device AI
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of On-device AI by Type
1.3.1 Overview: Global On-device AI 麻豆原创 Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global On-device AI Consumption Value 麻豆原创 Share by Type in 2023
1.3.3 Hardware
1.3.4 Software
1.4 Global On-device AI 麻豆原创 by Application
1.4.1 Overview: Global On-device AI 麻豆原创 Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Image Identification
1.4.3 Speech Recognition
1.4.4 Image Processing
1.4.5 Medical Imaging
1.4.6 Internet of Things
1.5 Global On-device AI 麻豆原创 Size & Forecast
1.6 Global On-device AI 麻豆原创 Size and Forecast by Region
1.6.1 Global On-device AI 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global On-device AI 麻豆原创 Size by Region, (2019-2030)
1.6.3 North America On-device AI 麻豆原创 Size and Prospect (2019-2030)
1.6.4 Europe On-device AI 麻豆原创 Size and Prospect (2019-2030)
1.6.5 Asia-Pacific On-device AI 麻豆原创 Size and Prospect (2019-2030)
1.6.6 South America On-device AI 麻豆原创 Size and Prospect (2019-2030)
1.6.7 Middle East and Africa On-device AI 麻豆原创 Size and Prospect (2019-2030)
2 Company Profiles
2.1 Qualcomm
2.1.1 Qualcomm Details
2.1.2 Qualcomm Major Business
2.1.3 Qualcomm On-device AI Product and Solutions
2.1.4 Qualcomm On-device AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.1.5 Qualcomm Recent Developments and Future Plans
2.2 Fujitsu
2.2.1 Fujitsu Details
2.2.2 Fujitsu Major Business
2.2.3 Fujitsu On-device AI Product and Solutions
2.2.4 Fujitsu On-device AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.2.5 Fujitsu Recent Developments and Future Plans
2.3 Apple
2.3.1 Apple Details
2.3.2 Apple Major Business
2.3.3 Apple On-device AI Product and Solutions
2.3.4 Apple On-device AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.3.5 Apple Recent Developments and Future Plans
2.4 Amazon
2.4.1 Amazon Details
2.4.2 Amazon Major Business
2.4.3 Amazon On-device AI Product and Solutions
2.4.4 Amazon On-device AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.4.5 Amazon Recent Developments and Future Plans
2.5 Google
2.5.1 Google Details
2.5.2 Google Major Business
2.5.3 Google On-device AI Product and Solutions
2.5.4 Google On-device AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.5.5 Google Recent Developments and Future Plans
2.6 SenseTime Group Limited
2.6.1 SenseTime Group Limited Details
2.6.2 SenseTime Group Limited Major Business
2.6.3 SenseTime Group Limited On-device AI Product and Solutions
2.6.4 SenseTime Group Limited On-device AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.6.5 SenseTime Group Limited Recent Developments and Future Plans
2.7 Counterpoint Research
2.7.1 Counterpoint Research Details
2.7.2 Counterpoint Research Major Business
2.7.3 Counterpoint Research On-device AI Product and Solutions
2.7.4 Counterpoint Research On-device AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.7.5 Counterpoint Research Recent Developments and Future Plans
2.8 Huawei
2.8.1 Huawei Details
2.8.2 Huawei Major Business
2.8.3 Huawei On-device AI Product and Solutions
2.8.4 Huawei On-device AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.8.5 Huawei Recent Developments and Future Plans
2.9 Baidu
2.9.1 Baidu Details
2.9.2 Baidu Major Business
2.9.3 Baidu On-device AI Product and Solutions
2.9.4 Baidu On-device AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.9.5 Baidu Recent Developments and Future Plans
2.10 NVIDIA
2.10.1 NVIDIA Details
2.10.2 NVIDIA Major Business
2.10.3 NVIDIA On-device AI Product and Solutions
2.10.4 NVIDIA On-device AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.10.5 NVIDIA Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global On-device AI Revenue and Share by Players (2019-2024)
3.2 麻豆原创 Share Analysis (2023)
3.2.1 麻豆原创 Share of On-device AI by Company Revenue
3.2.2 Top 3 On-device AI Players 麻豆原创 Share in 2023
3.2.3 Top 6 On-device AI Players 麻豆原创 Share in 2023
3.3 On-device AI 麻豆原创: Overall Company Footprint Analysis
3.3.1 On-device AI 麻豆原创: Region Footprint
3.3.2 On-device AI 麻豆原创: Company Product Type Footprint
3.3.3 On-device AI 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global On-device AI Consumption Value and 麻豆原创 Share by Type (2019-2024)
4.2 Global On-device AI 麻豆原创 Forecast by Type (2025-2030)
5 麻豆原创 Size Segment by Application
5.1 Global On-device AI Consumption Value 麻豆原创 Share by Application (2019-2024)
5.2 Global On-device AI 麻豆原创 Forecast by Application (2025-2030)
6 North America
6.1 North America On-device AI Consumption Value by Type (2019-2030)
6.2 North America On-device AI Consumption Value by Application (2019-2030)
6.3 North America On-device AI 麻豆原创 Size by Country
6.3.1 North America On-device AI Consumption Value by Country (2019-2030)
6.3.2 United States On-device AI 麻豆原创 Size and Forecast (2019-2030)
6.3.3 Canada On-device AI 麻豆原创 Size and Forecast (2019-2030)
6.3.4 Mexico On-device AI 麻豆原创 Size and Forecast (2019-2030)
7 Europe
7.1 Europe On-device AI Consumption Value by Type (2019-2030)
7.2 Europe On-device AI Consumption Value by Application (2019-2030)
7.3 Europe On-device AI 麻豆原创 Size by Country
7.3.1 Europe On-device AI Consumption Value by Country (2019-2030)
7.3.2 Germany On-device AI 麻豆原创 Size and Forecast (2019-2030)
7.3.3 France On-device AI 麻豆原创 Size and Forecast (2019-2030)
7.3.4 United Kingdom On-device AI 麻豆原创 Size and Forecast (2019-2030)
7.3.5 Russia On-device AI 麻豆原创 Size and Forecast (2019-2030)
7.3.6 Italy On-device AI 麻豆原创 Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific On-device AI Consumption Value by Type (2019-2030)
8.2 Asia-Pacific On-device AI Consumption Value by Application (2019-2030)
8.3 Asia-Pacific On-device AI 麻豆原创 Size by Region
8.3.1 Asia-Pacific On-device AI Consumption Value by Region (2019-2030)
8.3.2 China On-device AI 麻豆原创 Size and Forecast (2019-2030)
8.3.3 Japan On-device AI 麻豆原创 Size and Forecast (2019-2030)
8.3.4 South Korea On-device AI 麻豆原创 Size and Forecast (2019-2030)
8.3.5 India On-device AI 麻豆原创 Size and Forecast (2019-2030)
8.3.6 Southeast Asia On-device AI 麻豆原创 Size and Forecast (2019-2030)
8.3.7 Australia On-device AI 麻豆原创 Size and Forecast (2019-2030)
9 South America
9.1 South America On-device AI Consumption Value by Type (2019-2030)
9.2 South America On-device AI Consumption Value by Application (2019-2030)
9.3 South America On-device AI 麻豆原创 Size by Country
9.3.1 South America On-device AI Consumption Value by Country (2019-2030)
9.3.2 Brazil On-device AI 麻豆原创 Size and Forecast (2019-2030)
9.3.3 Argentina On-device AI 麻豆原创 Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa On-device AI Consumption Value by Type (2019-2030)
10.2 Middle East & Africa On-device AI Consumption Value by Application (2019-2030)
10.3 Middle East & Africa On-device AI 麻豆原创 Size by Country
10.3.1 Middle East & Africa On-device AI Consumption Value by Country (2019-2030)
10.3.2 Turkey On-device AI 麻豆原创 Size and Forecast (2019-2030)
10.3.3 Saudi Arabia On-device AI 麻豆原创 Size and Forecast (2019-2030)
10.3.4 UAE On-device AI 麻豆原创 Size and Forecast (2019-2030)
11 麻豆原创 Dynamics
11.1 On-device AI 麻豆原创 Drivers
11.2 On-device AI 麻豆原创 Restraints
11.3 On-device AI Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 On-device AI Industry Chain
12.2 On-device AI Upstream Analysis
12.3 On-device AI Midstream Analysis
12.4 On-device AI Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
Qualcomm
Fujitsu
Apple
Amazon
Google
SenseTime Group Limited
Counterpoint Research
Huawei
Baidu
NVIDIA
听
听
*If Applicable.