On-device AI - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB506241177

Publication Date:

June 10, 2024

Pages:

114

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

Internet [2]

Computing & Electronics [3]

Description:

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.
The global market for On-device AI 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.
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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for On-device AI, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of On-device AI by region & country, by Type, and by Application.
The On-device AI 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 On-device AI.
Market Segmentation
By Company
Qualcomm
Fujitsu
Apple
Amazon
Google
SenseTime Group Limited
Counterpoint Research
Huawei
Baidu
NVIDIA
Segment by Type:
Hardware
Software
Segment by Application
Image Identification
Speech Recognition
Image Processing
Medical Imaging
Internet of Things
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
U.A.E
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 On-device AI 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 On-device AI 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 On-device AI 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 On-device AI Product Introduction
1.2 Global On-device AI Market Size Forecast
1.3 On-device AI Market Trends & Drivers
1.3.1 On-device AI Industry Trends
1.3.2 On-device AI Market Drivers & Opportunity
1.3.3 On-device AI Market Challenges
1.3.4 On-device AI Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global On-device AI Players Revenue Ranking (2023)
2.2 Global On-device AI Revenue by Company (2019-2024)
2.3 Key Companies On-device AI Manufacturing Base Distribution and Headquarters
2.4 Key Companies On-device AI Product Offered
2.5 Key Companies Time to Begin Mass Production of On-device AI
2.6 On-device AI Market Competitive Analysis
2.6.1 On-device AI Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by On-device AI Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in On-device AI 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
3.2 Global On-device AI Sales Value by Type
3.2.1 Global On-device AI Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global On-device AI Sales Value, by Type (2019-2030)
3.2.3 Global On-device AI Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Image Identification
4.1.2 Speech Recognition
4.1.3 Image Processing
4.1.4 Medical Imaging
4.1.5 Internet of Things
4.2 Global On-device AI Sales Value by Application
4.2.1 Global On-device AI Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global On-device AI Sales Value, by Application (2019-2030)
4.2.3 Global On-device AI Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global On-device AI Sales Value by Region
5.1.1 Global On-device AI Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global On-device AI Sales Value by Region (2019-2024)
5.1.3 Global On-device AI Sales Value by Region (2025-2030)
5.1.4 Global On-device AI Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America On-device AI Sales Value, 2019-2030
5.2.2 North America On-device AI Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe On-device AI Sales Value, 2019-2030
5.3.2 Europe On-device AI Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific On-device AI Sales Value, 2019-2030
5.4.2 Asia Pacific On-device AI Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America On-device AI Sales Value, 2019-2030
5.5.2 South America On-device AI Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa On-device AI Sales Value, 2019-2030
5.6.2 Middle East & Africa On-device AI Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions On-device AI Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions On-device AI Sales Value
6.3 United States
6.3.1 United States On-device AI Sales Value, 2019-2030
6.3.2 United States On-device AI Sales Value by Type (%), 2023 VS 2030
6.3.3 United States On-device AI Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe On-device AI Sales Value, 2019-2030
6.4.2 Europe On-device AI Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe On-device AI Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China On-device AI Sales Value, 2019-2030
6.5.2 China On-device AI Sales Value by Type (%), 2023 VS 2030
6.5.3 China On-device AI Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan On-device AI Sales Value, 2019-2030
6.6.2 Japan On-device AI Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan On-device AI Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea On-device AI Sales Value, 2019-2030
6.7.2 South Korea On-device AI Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea On-device AI Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia On-device AI Sales Value, 2019-2030
6.8.2 Southeast Asia On-device AI Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia On-device AI Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India On-device AI Sales Value, 2019-2030
6.9.2 India On-device AI Sales Value by Type (%), 2023 VS 2030
6.9.3 India On-device AI Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Qualcomm
7.1.1 Qualcomm Profile
7.1.2 Qualcomm Main Business
7.1.3 Qualcomm On-device AI Products, Services and Solutions
7.1.4 Qualcomm On-device AI Revenue (US$ Million) & (2019-2024)
7.1.5 Qualcomm Recent Developments
7.2 Fujitsu
7.2.1 Fujitsu Profile
7.2.2 Fujitsu Main Business
7.2.3 Fujitsu On-device AI Products, Services and Solutions
7.2.4 Fujitsu On-device AI Revenue (US$ Million) & (2019-2024)
7.2.5 Fujitsu Recent Developments
7.3 Apple
7.3.1 Apple Profile
7.3.2 Apple Main Business
7.3.3 Apple On-device AI Products, Services and Solutions
7.3.4 Apple On-device AI Revenue (US$ Million) & (2019-2024)
7.3.5 Amazon Recent Developments
7.4 Amazon
7.4.1 Amazon Profile
7.4.2 Amazon Main Business
7.4.3 Amazon On-device AI Products, Services and Solutions
7.4.4 Amazon On-device AI Revenue (US$ Million) & (2019-2024)
7.4.5 Amazon Recent Developments
7.5 Google
7.5.1 Google Profile
7.5.2 Google Main Business
7.5.3 Google On-device AI Products, Services and Solutions
7.5.4 Google On-device AI Revenue (US$ Million) & (2019-2024)
7.5.5 Google Recent Developments
7.6 SenseTime Group Limited
7.6.1 SenseTime Group Limited Profile
7.6.2 SenseTime Group Limited Main Business
7.6.3 SenseTime Group Limited On-device AI Products, Services and Solutions
7.6.4 SenseTime Group Limited On-device AI Revenue (US$ Million) & (2019-2024)
7.6.5 SenseTime Group Limited Recent Developments
7.7 Counterpoint Research
7.7.1 Counterpoint Research Profile
7.7.2 Counterpoint Research Main Business
7.7.3 Counterpoint Research On-device AI Products, Services and Solutions
7.7.4 Counterpoint Research On-device AI Revenue (US$ Million) & (2019-2024)
7.7.5 Counterpoint Research Recent Developments
7.8 Huawei
7.8.1 Huawei Profile
7.8.2 Huawei Main Business
7.8.3 Huawei On-device AI Products, Services and Solutions
7.8.4 Huawei On-device AI Revenue (US$ Million) & (2019-2024)
7.8.5 Huawei Recent Developments
7.9 Baidu
7.9.1 Baidu Profile
7.9.2 Baidu Main Business
7.9.3 Baidu On-device AI Products, Services and Solutions
7.9.4 Baidu On-device AI Revenue (US$ Million) & (2019-2024)
7.9.5 Baidu Recent Developments
7.10 NVIDIA
7.10.1 NVIDIA Profile
7.10.2 NVIDIA Main Business
7.10.3 NVIDIA On-device AI Products, Services and Solutions
7.10.4 NVIDIA On-device AI Revenue (US$ Million) & (2019-2024)
7.10.5 NVIDIA Recent Developments
8 Industry Chain Analysis
8.1 On-device AI Industrial Chain
8.2 On-device AI 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 On-device AI Sales Model
8.5.2 Sales Channel
8.5.3 On-device AI 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:

Qualcomm
Fujitsu
Apple
Amazon
Google
SenseTime Group Limited
Counterpoint Research
Huawei
Baidu
NVIDIA

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