Global Artificial Intelligence for Edge Devices 麻豆原创 2024 by Company, Regions, Type and Application, Forecast to 2030

Publication ID:

GIR092410726

Publication Date:

September 17, 2024

Pages:

103

Publisher:

GIR

Countries:

Global [1]

USD 3,480.00

IT & eHealth [2]

Pharma & Healthcare [3]

Description:

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.
The global Artificial Intelligence for Edge Devices market size was valued at US$ 4149 million in 2023 and is forecast to a readjusted size of USD 20880 million by 2030 with a CAGR of 26.3% during review 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.
This report is a detailed and comprehensive analysis for global Artificial Intelligence for Edge Devices market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.
Key Features:
Global Artificial Intelligence for Edge Devices market size and forecasts, in consumption value ($ Million), 2019-2030
Global Artificial Intelligence for Edge Devices market size and forecasts by region and country, in consumption value ($ Million), 2019-2030
Global Artificial Intelligence for Edge Devices market size and forecasts, by Type and by Application, in consumption value ($ Million), 2019-2030
Global Artificial Intelligence for Edge Devices market shares of main players, in revenue ($ Million), 2019-2024
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Artificial Intelligence for Edge Devices
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Artificial Intelligence for Edge Devices market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Microsoft, Qualcomm, Intel, Google, Alibaba, NVIDIA, Arm, Horizon Robotics, Baidu, Synopsys, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
麻豆原创 segmentation
Artificial Intelligence for Edge Devices 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. This analysis can help you expand your business by targeting qualified niche markets.
麻豆原创 segmentation
Artificial Intelligence for Edge Devices market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
麻豆原创 segment by Type
Hardware
Software
麻豆原创 segment by Application
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Security Cameras
麻豆原创 segment by players, this report covers
Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
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 and Rest of Asia-Pacific)
South America (Brazil, 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 Artificial Intelligence for Edge Devices product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Artificial Intelligence for Edge Devices, with revenue, gross margin, and global market share of Artificial Intelligence for Edge Devices from 2019 to 2024.
Chapter 3, the Artificial Intelligence for Edge Devices 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 by Application, with consumption value and growth rate by Type, by 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 Artificial Intelligence for Edge Devices market forecast, by regions, by Type and by Application, with consumption value, from 2024 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial Intelligence for Edge Devices.
Chapter 13, to describe Artificial Intelligence for Edge Devices research findings and 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 麻豆原创 Overview
1.1 Product Overview and Scope of Artificial Intelligence for Edge Devices
1.2 Classification of Artificial Intelligence for Edge Devices by Type
1.2.1 Overview: Global Artificial Intelligence for Edge Devices 麻豆原创 Size by Type: 2024 Versus 2030
1.2.2 Global Artificial Intelligence for Edge Devices Revenue 麻豆原创 Share by Type in 2030
1.2.3 Hardware
1.2.4 Software
1.3 Global Artificial Intelligence for Edge Devices 麻豆原创 by Application
1.3.1 Overview: Global Artificial Intelligence for Edge Devices 麻豆原创 Size by Application: 2024 Versus 2030
1.3.2 Automotive
1.3.3 Consumer and Enterprise Robotics
1.3.4 Drones
1.3.5 Head-Mounted Displays
1.3.6 Smart Speakers
1.3.7 Security Cameras
1.4 Global Artificial Intelligence for Edge Devices 麻豆原创 Size & Forecast
1.5 麻豆原创 Drivers, Restraints and Trends
1.5.1 Artificial Intelligence for Edge Devices 麻豆原创 Drivers
1.5.2 Artificial Intelligence for Edge Devices 麻豆原创 Restraints
1.5.3 Artificial Intelligence for Edge Devices Trends Analysis
2 Company Profiles
2.1 Microsoft
2.1.1 Microsoft Details
2.1.2 Microsoft Major Business
2.1.3 Microsoft Artificial Intelligence for Edge Devices Product and Solutions
2.1.4 Microsoft Recent Developments and Future Plans
2.2 Qualcomm
2.2.1 Qualcomm Details
2.2.2 Qualcomm Major Business
2.2.3 Qualcomm Artificial Intelligence for Edge Devices Product and Solutions
2.2.4 Qualcomm Recent Developments and Future Plans
2.3 Intel
2.3.1 Intel Details
2.3.2 Intel Major Business
2.3.3 Intel Artificial Intelligence for Edge Devices Product and Solutions
2.3.4 Intel Recent Developments and Future Plans
2.4 Google
2.4.1 Google Details
2.4.2 Google Major Business
2.4.3 Google Artificial Intelligence for Edge Devices Product and Solutions
2.4.4 Google Recent Developments and Future Plans
2.5 Alibaba
2.5.1 Alibaba Details
2.5.2 Alibaba Major Business
2.5.3 Alibaba Artificial Intelligence for Edge Devices Product and Solutions
2.5.4 Alibaba Recent Developments and Future Plans
2.6 NVIDIA
2.6.1 NVIDIA Details
2.6.2 NVIDIA Major Business
2.6.3 NVIDIA Artificial Intelligence for Edge Devices Product and Solutions
2.6.4 NVIDIA Recent Developments and Future Plans
2.7 Arm
2.7.1 Arm Details
2.7.2 Arm Major Business
2.7.3 Arm Artificial Intelligence for Edge Devices Product and Solutions
2.7.4 Arm Recent Developments and Future Plans
2.8 Horizon Robotics
2.8.1 Horizon Robotics Details
2.8.2 Horizon Robotics Major Business
2.8.3 Horizon Robotics Artificial Intelligence for Edge Devices Product and Solutions
2.8.4 Horizon Robotics Recent Developments and Future Plans
2.9 Baidu
2.9.1 Baidu Details
2.9.2 Baidu Major Business
2.9.3 Baidu Artificial Intelligence for Edge Devices Product and Solutions
2.9.4 Baidu Recent Developments and Future Plans
2.10 Synopsys
2.10.1 Synopsys Details
2.10.2 Synopsys Major Business
2.10.3 Synopsys Artificial Intelligence for Edge Devices Product and Solutions
2.10.4 Synopsys Recent Developments and Future Plans
2.11 Cambricon
2.11.1 Cambricon Details
2.11.2 Cambricon Major Business
2.11.3 Cambricon Artificial Intelligence for Edge Devices Product and Solutions
2.11.4 Cambricon Recent Developments and Future Plans
2.12 MediaTek
2.12.1 MediaTek Details
2.12.2 MediaTek Major Business
2.12.3 MediaTek Artificial Intelligence for Edge Devices Product and Solutions
2.12.4 MediaTek Recent Developments and Future Plans
2.13 Mythic
2.13.1 Mythic Details
2.13.2 Mythic Major Business
2.13.3 Mythic Artificial Intelligence for Edge Devices Product and Solutions
2.13.4 Mythic Recent Developments and Future Plans
2.14 NXP
2.14.1 NXP Details
2.14.2 NXP Major Business
2.14.3 NXP Artificial Intelligence for Edge Devices Product and Solutions
2.14.4 NXP Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Artificial Intelligence for Edge Devices Revenue and Share by Players (2024 & 2030)
3.2 Artificial Intelligence for Edge Devices Players Head Office, Products and Services Provided
3.3 Artificial Intelligence for Edge Devices Mergers & Acquisitions
3.4 Artificial Intelligence for Edge Devices New Entrants and Expansion Plans
4 Global Artificial Intelligence for Edge Devices Forecast by Region
4.1 Global Artificial Intelligence for Edge Devices 麻豆原创 Size by Region: 2024 VS 2030
4.2 Global Artificial Intelligence for Edge Devices 麻豆原创 Size by Region, (2024-2030)
4.3 North America
4.3.1 Key Companies of Artificial Intelligence for Edge Devices in North America
4.3.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in North America
4.3.3 North America Artificial Intelligence for Edge Devices 麻豆原创 Size and Prospect (2024-2030)
4.4 Europe
4.4.1 Key Companies of Artificial Intelligence for Edge Devices in Europe
4.4.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in Europe
4.4.3 Europe Artificial Intelligence for Edge Devices 麻豆原创 Size and Prospect (2024-2030)
4.5 Asia-Pacific
4.5.1 Key Companies of Artificial Intelligence for Edge Devices in Asia-Pacific
4.5.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in Asia-Pacific
4.5.3 Asia-Pacific Artificial Intelligence for Edge Devices 麻豆原创 Size and Prospect (2024-2030)
4.5.4 China
4.5.5 Japan
4.5.6 South Korea
4.6 South America
4.6.1 Key Companies of Artificial Intelligence for Edge Devices in South America
4.6.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in South America
4.6.3 South America Artificial Intelligence for Edge Devices 麻豆原创 Size and Prospect (2024-2030)
4.7 Middle East & Africa
4.7.1 Key Companies of Artificial Intelligence for Edge Devices in Middle East & Africa
4.7.2 Current Situation and Forecast of Artificial Intelligence for Edge Devices in Middle East & Africa
4.7.3 Middle East & Africa Artificial Intelligence for Edge Devices 麻豆原创 Size and Prospect (2024-2030)
5 麻豆原创 Size Segment by Type
5.1 Global Artificial Intelligence for Edge Devices 麻豆原创 Forecast by Type (2024-2030)
5.2 Global Artificial Intelligence for Edge Devices 麻豆原创 Share Forecast by Type (2024-2030)
6 麻豆原创 Size Segment by Application
6.1 Global Artificial Intelligence for Edge Devices 麻豆原创 Forecast by Application (2024-2030)
6.2 Global Artificial Intelligence for Edge Devices 麻豆原创 Share Forecast by Application (2024-2030)
7 Research Findings and Conclusion
8 Appendix
8.1 Methodology
8.2 Research Process and Data Source
8.3 Disclaimer

Companies Mentioned:

Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP

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