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.
Highlights
The global On-device AI market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for On-device AI is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for On-device AI is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for On-device AI in Image Identification is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of On-device AI include Qualcomm, Fujitsu, Apple, Amazon, Google, SenseTime Group Limited, Counterpoint Research, Huawei and Baidu, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for On-device AI, 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.
The On-device AI market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global On-device AI 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 On-device AI companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
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
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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 On-device AI 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 key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Âé¶¹Ô´´ Analysis by Type
1.2.1 Global On-device AI Âé¶¹Ô´´ Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Hardware
1.2.3 Software
1.3 Âé¶¹Ô´´ by Application
1.3.1 Global On-device AI Âé¶¹Ô´´ Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Image Identification
1.3.3 Speech Recognition
1.3.4 Image Processing
1.3.5 Medical Imaging
1.3.6 Internet of Things
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global On-device AI Âé¶¹Ô´´ Perspective (2018-2029)
2.2 On-device AI Growth Trends by Region
2.2.1 Global On-device AI Âé¶¹Ô´´ Size by Region: 2018 VS 2022 VS 2029
2.2.2 On-device AI Historic Âé¶¹Ô´´ Size by Region (2018-2023)
2.2.3 On-device AI Forecasted Âé¶¹Ô´´ Size by Region (2024-2029)
2.3 On-device AI Âé¶¹Ô´´ Dynamics
2.3.1 On-device AI Industry Trends
2.3.2 On-device AI Âé¶¹Ô´´ Drivers
2.3.3 On-device AI Âé¶¹Ô´´ Challenges
2.3.4 On-device AI Âé¶¹Ô´´ Restraints
3 Competition Landscape by Key Players
3.1 Global Top On-device AI Players by Revenue
3.1.1 Global Top On-device AI Players by Revenue (2018-2023)
3.1.2 Global On-device AI Revenue Âé¶¹Ô´´ Share by Players (2018-2023)
3.2 Global On-device AI Âé¶¹Ô´´ Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by On-device AI Revenue
3.4 Global On-device AI Âé¶¹Ô´´ Concentration Ratio
3.4.1 Global On-device AI Âé¶¹Ô´´ Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by On-device AI Revenue in 2022
3.5 On-device AI Key Players Head office and Area Served
3.6 Key Players On-device AI Product Solution and Service
3.7 Date of Enter into On-device AI Âé¶¹Ô´´
3.8 Mergers & Acquisitions, Expansion Plans
4 On-device AI Breakdown Data by Type
4.1 Global On-device AI Historic Âé¶¹Ô´´ Size by Type (2018-2023)
4.2 Global On-device AI Forecasted Âé¶¹Ô´´ Size by Type (2024-2029)
5 On-device AI Breakdown Data by Application
5.1 Global On-device AI Historic Âé¶¹Ô´´ Size by Application (2018-2023)
5.2 Global On-device AI Forecasted Âé¶¹Ô´´ Size by Application (2024-2029)
6 North America
6.1 North America On-device AI Âé¶¹Ô´´ Size (2018-2029)
6.2 North America On-device AI Âé¶¹Ô´´ Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America On-device AI Âé¶¹Ô´´ Size by Country (2018-2023)
6.4 North America On-device AI Âé¶¹Ô´´ Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe On-device AI Âé¶¹Ô´´ Size (2018-2029)
7.2 Europe On-device AI Âé¶¹Ô´´ Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe On-device AI Âé¶¹Ô´´ Size by Country (2018-2023)
7.4 Europe On-device AI Âé¶¹Ô´´ 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 On-device AI Âé¶¹Ô´´ Size (2018-2029)
8.2 Asia-Pacific On-device AI Âé¶¹Ô´´ Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific On-device AI Âé¶¹Ô´´ Size by Region (2018-2023)
8.4 Asia-Pacific On-device AI Âé¶¹Ô´´ 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 On-device AI Âé¶¹Ô´´ Size (2018-2029)
9.2 Latin America On-device AI Âé¶¹Ô´´ Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America On-device AI Âé¶¹Ô´´ Size by Country (2018-2023)
9.4 Latin America On-device AI Âé¶¹Ô´´ Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa On-device AI Âé¶¹Ô´´ Size (2018-2029)
10.2 Middle East & Africa On-device AI Âé¶¹Ô´´ Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa On-device AI Âé¶¹Ô´´ Size by Country (2018-2023)
10.4 Middle East & Africa On-device AI Âé¶¹Ô´´ Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Qualcomm
11.1.1 Qualcomm Company Detail
11.1.2 Qualcomm Business Overview
11.1.3 Qualcomm On-device AI Introduction
11.1.4 Qualcomm Revenue in On-device AI Business (2018-2023)
11.1.5 Qualcomm Recent Development
11.2 Fujitsu
11.2.1 Fujitsu Company Detail
11.2.2 Fujitsu Business Overview
11.2.3 Fujitsu On-device AI Introduction
11.2.4 Fujitsu Revenue in On-device AI Business (2018-2023)
11.2.5 Fujitsu Recent Development
11.3 Apple
11.3.1 Apple Company Detail
11.3.2 Apple Business Overview
11.3.3 Apple On-device AI Introduction
11.3.4 Apple Revenue in On-device AI Business (2018-2023)
11.3.5 Apple Recent Development
11.4 Amazon
11.4.1 Amazon Company Detail
11.4.2 Amazon Business Overview
11.4.3 Amazon On-device AI Introduction
11.4.4 Amazon Revenue in On-device AI Business (2018-2023)
11.4.5 Amazon Recent Development
11.5 Google
11.5.1 Google Company Detail
11.5.2 Google Business Overview
11.5.3 Google On-device AI Introduction
11.5.4 Google Revenue in On-device AI Business (2018-2023)
11.5.5 Google Recent Development
11.6 SenseTime Group Limited
11.6.1 SenseTime Group Limited Company Detail
11.6.2 SenseTime Group Limited Business Overview
11.6.3 SenseTime Group Limited On-device AI Introduction
11.6.4 SenseTime Group Limited Revenue in On-device AI Business (2018-2023)
11.6.5 SenseTime Group Limited Recent Development
11.7 Counterpoint Research
11.7.1 Counterpoint Research Company Detail
11.7.2 Counterpoint Research Business Overview
11.7.3 Counterpoint Research On-device AI Introduction
11.7.4 Counterpoint Research Revenue in On-device AI Business (2018-2023)
11.7.5 Counterpoint Research Recent Development
11.8 Huawei
11.8.1 Huawei Company Detail
11.8.2 Huawei Business Overview
11.8.3 Huawei On-device AI Introduction
11.8.4 Huawei Revenue in On-device AI Business (2018-2023)
11.8.5 Huawei Recent Development
11.9 Baidu
11.9.1 Baidu Company Detail
11.9.2 Baidu Business Overview
11.9.3 Baidu On-device AI Introduction
11.9.4 Baidu Revenue in On-device AI Business (2018-2023)
11.9.5 Baidu Recent Development
11.10 NVIDIA
11.10.1 NVIDIA Company Detail
11.10.2 NVIDIA Business Overview
11.10.3 NVIDIA On-device AI Introduction
11.10.4 NVIDIA Revenue in On-device AI Business (2018-2023)
11.10.5 NVIDIA 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
Qualcomm
Fujitsu
Apple
Amazon
Google
SenseTime Group Limited
Counterpoint Research
Huawei
Baidu
NVIDIA
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*If Applicable.