Global Artificial Intelligence for Edge Devices 麻豆原创 Insights, Forecast to 2030

Publication ID:

PB507247192

Publication Date:

July 22, 2024

Pages:

106

Publisher:

MRRPB5

Countries:

Global [1]

USD 4,900.00

IT Services [2]

Hardware (Computing & Electronics) [3]

Computing & Electronics [4]

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.
麻豆原创 Analysis and Insights: Global Artificial Intelligence for Edge Devices 麻豆原创
The global Artificial Intelligence for Edge Devices market is projected to grow from US$ 4031.9 million in 2024 to US$ 16840 million by 2030, at a Compound Annual Growth Rate (CAGR) of 26.9% during the 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.
Report Covers:
This report presents an overview of global market for Artificial Intelligence for Edge Devices market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Artificial Intelligence for Edge Devices, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Artificial Intelligence for Edge Devices, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Artificial Intelligence for Edge Devices revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Artificial Intelligence for Edge Devices market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Artificial Intelligence for Edge Devices revenue, projected growth trends, production technology, application and end-user industry.
麻豆原创 Segmentation
By Company
Microsoft
Qualcomm
Intel
Google
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
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces 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. 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: Revenue of Artificial Intelligence for Edge Devices in global and regional level. 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. 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 Artificial Intelligence for Edge Devices companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides 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 5: Provides 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 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides 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 12: Analyst's Viewpoints/Conclusions

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Artificial Intelligence for Edge Devices 麻豆原创 Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.3 麻豆原创 by Application
1.3.1 Global Artificial Intelligence for Edge Devices 麻豆原创 Size Growth Rate by Application, 2019 VS 2023 VS 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 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence for Edge Devices 麻豆原创 Perspective (2019-2030)
2.2 Global Artificial Intelligence for Edge Devices Growth Trends by Region
2.2.1 Artificial Intelligence for Edge Devices 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence for Edge Devices Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Artificial Intelligence for Edge Devices Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Artificial Intelligence for Edge Devices 麻豆原创 Dynamics
2.3.1 Artificial Intelligence for Edge Devices Industry Trends
2.3.2 Artificial Intelligence for Edge Devices 麻豆原创 Drivers
2.3.3 Artificial Intelligence for Edge Devices 麻豆原创 Challenges
2.3.4 Artificial Intelligence for Edge Devices 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Artificial Intelligence for Edge Devices by Players
3.1.1 Global Artificial Intelligence for Edge Devices Revenue by Players (2019-2024)
3.1.2 Global Artificial Intelligence for Edge Devices Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Artificial Intelligence for Edge Devices 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Artificial Intelligence for Edge Devices, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Artificial Intelligence for Edge Devices 麻豆原创 Concentration Ratio
3.4.1 Global Artificial Intelligence for Edge Devices 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence for Edge Devices Revenue in 2023
3.5 Global Key Players of Artificial Intelligence for Edge Devices Head office and Area Served
3.6 Global Key Players of Artificial Intelligence for Edge Devices, Product and Application
3.7 Global Key Players of Artificial Intelligence for Edge Devices, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence for Edge Devices Breakdown Data by Type
4.1 Global Artificial Intelligence for Edge Devices Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Artificial Intelligence for Edge Devices Forecasted 麻豆原创 Size by Type (2025-2030)
5 Artificial Intelligence for Edge Devices Breakdown Data by Application
5.1 Global Artificial Intelligence for Edge Devices Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Artificial Intelligence for Edge Devices Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence for Edge Devices 麻豆原创 Size (2019-2030)
6.2 North America Artificial Intelligence for Edge Devices 麻豆原创 Size by Type
6.2.1 North America Artificial Intelligence for Edge Devices 麻豆原创 Size by Type (2019-2024)
6.2.2 North America Artificial Intelligence for Edge Devices 麻豆原创 Size by Type (2025-2030)
6.2.3 North America Artificial Intelligence for Edge Devices 麻豆原创 Share by Type (2019-2030)
6.3 North America Artificial Intelligence for Edge Devices 麻豆原创 Size by Application
6.3.1 North America Artificial Intelligence for Edge Devices 麻豆原创 Size by Application (2019-2024)
6.3.2 North America Artificial Intelligence for Edge Devices 麻豆原创 Size by Application (2025-2030)
6.3.3 North America Artificial Intelligence for Edge Devices 麻豆原创 Share by Application (2019-2030)
6.4 North America Artificial Intelligence for Edge Devices 麻豆原创 Size by Country
6.4.1 North America Artificial Intelligence for Edge Devices 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Artificial Intelligence for Edge Devices 麻豆原创 Size by Country (2019-2024)
6.4.3 North America Artificial Intelligence for Edge Devices 麻豆原创 Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Artificial Intelligence for Edge Devices 麻豆原创 Size (2019-2030)
7.2 Europe Artificial Intelligence for Edge Devices 麻豆原创 Size by Type
7.2.1 Europe Artificial Intelligence for Edge Devices 麻豆原创 Size by Type (2019-2024)
7.2.2 Europe Artificial Intelligence for Edge Devices 麻豆原创 Size by Type (2025-2030)
7.2.3 Europe Artificial Intelligence for Edge Devices 麻豆原创 Share by Type (2019-2030)
7.3 Europe Artificial Intelligence for Edge Devices 麻豆原创 Size by Application
7.3.1 Europe Artificial Intelligence for Edge Devices 麻豆原创 Size by Application (2019-2024)
7.3.2 Europe Artificial Intelligence for Edge Devices 麻豆原创 Size by Application (2025-2030)
7.3.3 Europe Artificial Intelligence for Edge Devices 麻豆原创 Share by Application (2019-2030)
7.4 Europe Artificial Intelligence for Edge Devices 麻豆原创 Size by Country
7.4.1 Europe Artificial Intelligence for Edge Devices 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Artificial Intelligence for Edge Devices 麻豆原创 Size by Country (2019-2024)
7.4.3 Europe Artificial Intelligence for Edge Devices 麻豆原创 Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Artificial Intelligence for Edge Devices 麻豆原创 Size (2019-2030)
8.2 China Artificial Intelligence for Edge Devices 麻豆原创 Size by Type
8.2.1 China Artificial Intelligence for Edge Devices 麻豆原创 Size by Type (2019-2024)
8.2.2 China Artificial Intelligence for Edge Devices 麻豆原创 Size by Type (2025-2030)
8.2.3 China Artificial Intelligence for Edge Devices 麻豆原创 Share by Type (2019-2030)
8.3 China Artificial Intelligence for Edge Devices 麻豆原创 Size by Application
8.3.1 China Artificial Intelligence for Edge Devices 麻豆原创 Size by Application (2019-2024)
8.3.2 China Artificial Intelligence for Edge Devices 麻豆原创 Size by Application (2025-2030)
8.3.3 China Artificial Intelligence for Edge Devices 麻豆原创 Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Artificial Intelligence for Edge Devices 麻豆原创 Size (2019-2030)
9.2 Asia Artificial Intelligence for Edge Devices 麻豆原创 Size by Type
9.2.1 Asia Artificial Intelligence for Edge Devices 麻豆原创 Size by Type (2019-2024)
9.2.2 Asia Artificial Intelligence for Edge Devices 麻豆原创 Size by Type (2025-2030)
9.2.3 Asia Artificial Intelligence for Edge Devices 麻豆原创 Share by Type (2019-2030)
9.3 Asia Artificial Intelligence for Edge Devices 麻豆原创 Size by Application
9.3.1 Asia Artificial Intelligence for Edge Devices 麻豆原创 Size by Application (2019-2024)
9.3.2 Asia Artificial Intelligence for Edge Devices 麻豆原创 Size by Application (2025-2030)
9.3.3 Asia Artificial Intelligence for Edge Devices 麻豆原创 Share by Application (2019-2030)
9.4 Asia Artificial Intelligence for Edge Devices 麻豆原创 Size by Region
9.4.1 Asia Artificial Intelligence for Edge Devices 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Artificial Intelligence for Edge Devices 麻豆原创 Size by Region (2019-2024)
9.4.3 Asia Artificial Intelligence for Edge Devices 麻豆原创 Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Size (2019-2030)
10.2 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Size by Type
10.2.1 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Size by Application
10.3.1 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Size by Country
10.4.1 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Artificial Intelligence for Edge Devices 麻豆原创 Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Details
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Artificial Intelligence for Edge Devices Introduction
11.1.4 Microsoft Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.1.5 Microsoft Recent Developments
11.2 Qualcomm
11.2.1 Qualcomm Company Details
11.2.2 Qualcomm Business Overview
11.2.3 Qualcomm Artificial Intelligence for Edge Devices Introduction
11.2.4 Qualcomm Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.2.5 Qualcomm Recent Developments
11.3 Intel
11.3.1 Intel Company Details
11.3.2 Intel Business Overview
11.3.3 Intel Artificial Intelligence for Edge Devices Introduction
11.3.4 Intel Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.3.5 Intel Recent Developments
11.4 Google
11.4.1 Google Company Details
11.4.2 Google Business Overview
11.4.3 Google Artificial Intelligence for Edge Devices Introduction
11.4.4 Google Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.4.5 Google Recent Developments
11.5 Alibaba
11.5.1 Alibaba Company Details
11.5.2 Alibaba Business Overview
11.5.3 Alibaba Artificial Intelligence for Edge Devices Introduction
11.5.4 Alibaba Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.5.5 Alibaba Recent Developments
11.6 NVIDIA
11.6.1 NVIDIA Company Details
11.6.2 NVIDIA Business Overview
11.6.3 NVIDIA Artificial Intelligence for Edge Devices Introduction
11.6.4 NVIDIA Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.6.5 NVIDIA Recent Developments
11.7 Arm
11.7.1 Arm Company Details
11.7.2 Arm Business Overview
11.7.3 Arm Artificial Intelligence for Edge Devices Introduction
11.7.4 Arm Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.7.5 Arm Recent Developments
11.8 Horizon Robotics
11.8.1 Horizon Robotics Company Details
11.8.2 Horizon Robotics Business Overview
11.8.3 Horizon Robotics Artificial Intelligence for Edge Devices Introduction
11.8.4 Horizon Robotics Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.8.5 Horizon Robotics Recent Developments
11.9 Baidu
11.9.1 Baidu Company Details
11.9.2 Baidu Business Overview
11.9.3 Baidu Artificial Intelligence for Edge Devices Introduction
11.9.4 Baidu Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.9.5 Baidu Recent Developments
11.10 Synopsys
11.10.1 Synopsys Company Details
11.10.2 Synopsys Business Overview
11.10.3 Synopsys Artificial Intelligence for Edge Devices Introduction
11.10.4 Synopsys Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.10.5 Synopsys Recent Developments
11.11 Cambricon
11.11.1 Cambricon Company Details
11.11.2 Cambricon Business Overview
11.11.3 Cambricon Artificial Intelligence for Edge Devices Introduction
11.11.4 Cambricon Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.11.5 Cambricon Recent Developments
11.12 MediaTek
11.12.1 MediaTek Company Details
11.12.2 MediaTek Business Overview
11.12.3 MediaTek Artificial Intelligence for Edge Devices Introduction
11.12.4 MediaTek Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.12.5 MediaTek Recent Developments
11.13 Mythic
11.13.1 Mythic Company Details
11.13.2 Mythic Business Overview
11.13.3 Mythic Artificial Intelligence for Edge Devices Introduction
11.13.4 Mythic Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.13.5 Mythic Recent Developments
11.14 NXP
11.14.1 NXP Company Details
11.14.2 NXP Business Overview
11.14.3 NXP Artificial Intelligence for Edge Devices Introduction
11.14.4 NXP Revenue in Artificial Intelligence for Edge Devices Business (2019-2024)
11.14.5 NXP Recent Developments
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

Companies Mentioned:

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

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