Global Artificial Intelligence for Edge Devices Industry Research Report, Growth Trends and Competitive Analysis 2024-2034
Published on: 2024-01-04 | No of Pages : 400 | Industry : Latest Trends
Publisher : MRA | Format : PDF
Global Artificial Intelligence for Edge Devices Industry Research Report, Growth Trends and Competitive Analysis 2024-2034
Artificial intelligence (AI) processing today is mostly done in a cloud-based data center. The majority of AI processing is dominated by training of deep learning models, which requires heavy compute capacity. Artificial intelligence for edge devices means that AI software algorithms are processed locally on a hardware device. The algorithms are using data (sensor data or signals) that are created on the device. A device using Edge AI software does not need to be connected in order to work properly, it can process data and take decisions independently without a connection. In this report, artificial intelligence for edge devices contains software tools, platforms, artificial intelligence chip.
Due to the COVID-19 pandemic, the global Artificial Intelligence for Edge Devices market size was US$ 3121 million in 2023 and is forecast to a readjusted size of US$ 16840 million by 2033 with a CAGR of 26.9% during the forecast period 2023-2033. Fully considering the economic change by this health crisis, Hardware accounting for % of the Artificial Intelligence for Edge Devices global market in 2023, is projected to value US$ million by 2033, growing at a revised % CAGR from 2023 to 2033. While Automotive segment is altered to an % CAGR throughout this forecast period.
Global Artificial Intelligence for Edge Devices key players include Microsoft, Qualcomm, Intel, Google, Alibaba, etc. Global top five manufacturers hold a share over 50%.
North America is the largest market, with a share about 45%, followed by Europe and China, both have a share over 30 percent.
In terms of product, Hardware is the largest segment, with a share about 70%. And in terms of application, the largest application is Mobile Phones, followed by Smart Speakers.
The market research report offered here is a very useful resource that can help manufacturers, stakeholders, decision-makers, and other market participants to become familiar with every factor impacting the growth of the global Artificial Intelligence for Edge Devices market. The analysts authoring the report have closely studied key strategies adopted by top players of the global Artificial Intelligence for Edge Devices market. The report includes SWOT, and other market analyses to provide a clear and deep understanding of important aspects of the global Artificial Intelligence for Edge Devices market. Readers of the report can become informed about current and future trends of the global Artificial Intelligence for Edge Devices market and how they will impact market growth during the forecast period.
Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
Segment by Type
Hardware
Software
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Security Cameras
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Indonesia
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter 1Introduces the report scope of the report, executive summary of different market segments (product type, application, etc.), including the market size of each market segment, future development potential, and so on.
Chapter 2Revenue of Artificial Intelligence for Edge Devices in global and regional level.
Chapter 3Detailed analysis of Artificial Intelligence for Edge Devices companies' competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6North America (US & Canada) by type, by application and by country, revenue for each segment.
Chapter 7Europe by type, by application and by country, revenue for each segment.
Chapter 8Asia Pacific by type, by application and by region, revenue for each segment.
Chapter 9Latin America by type, by application and by country, revenue for each segment.
Chapter 10Middle East and Africa, by type, by application and by country, revenue for each segment.
Chapter 11Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence for Edge Devices revenue, gross margin, and recent development, etc.
Chapter 12Introduces 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 13Research Findings and Conclusion
Due to the COVID-19 pandemic, the global Artificial Intelligence for Edge Devices market size was US$ 3121 million in 2023 and is forecast to a readjusted size of US$ 16840 million by 2033 with a CAGR of 26.9% during the forecast period 2023-2033. Fully considering the economic change by this health crisis, Hardware accounting for % of the Artificial Intelligence for Edge Devices global market in 2023, is projected to value US$ million by 2033, growing at a revised % CAGR from 2023 to 2033. While Automotive segment is altered to an % CAGR throughout this forecast period.
Global Artificial Intelligence for Edge Devices key players include Microsoft, Qualcomm, Intel, Google, Alibaba, etc. Global top five manufacturers hold a share over 50%.
North America is the largest market, with a share about 45%, followed by Europe and China, both have a share over 30 percent.
In terms of product, Hardware is the largest segment, with a share about 70%. And in terms of application, the largest application is Mobile Phones, followed by Smart Speakers.
The market research report offered here is a very useful resource that can help manufacturers, stakeholders, decision-makers, and other market participants to become familiar with every factor impacting the growth of the global Artificial Intelligence for Edge Devices market. The analysts authoring the report have closely studied key strategies adopted by top players of the global Artificial Intelligence for Edge Devices market. The report includes SWOT, and other market analyses to provide a clear and deep understanding of important aspects of the global Artificial Intelligence for Edge Devices market. Readers of the report can become informed about current and future trends of the global Artificial Intelligence for Edge Devices market and how they will impact market growth during the forecast period.
By Company
Microsoft
Qualcomm
Intel
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
Segment by Type
Hardware
Software
Segment by Application
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Security Cameras
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Indonesia
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1Introduces the report scope of the report, executive summary of different market segments (product type, application, etc.), including the market size of each market segment, future development potential, and so on.
Chapter 2Revenue of Artificial Intelligence for Edge Devices in global and regional level.
Chapter 3Detailed analysis of Artificial Intelligence for Edge Devices companies' competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6North America (US & Canada) by type, by application and by country, revenue for each segment.
Chapter 7Europe by type, by application and by country, revenue for each segment.
Chapter 8Asia Pacific by type, by application and by region, revenue for each segment.
Chapter 9Latin America by type, by application and by country, revenue for each segment.
Chapter 10Middle East and Africa, by type, by application and by country, revenue for each segment.
Chapter 11Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence for Edge Devices revenue, gross margin, and recent development, etc.
Chapter 12Introduces 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 13Research Findings and Conclusion
Electronic and Semiconductor
Food and Beverages
Chemicals and Materials
Consumer Goods
Construction Manufacturing
Aerospace and Defence
Energy and Power
ICT Media
Banking and Finance
Automotive and Transportation
Machinery and Equipments
Pharmaceutical and Healthcare
Medical Devices