Global Artificial Intelligence for Edge Devices Market 2024 by Company, Regions, Type and Application, Forecast to 2030
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.
According to our (Global Info Research) latest study, 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.
Market 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.
Market 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.
Market segment by Type
Hardware
Software
Market segment by Application
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Security Cameras
Market segment by players, this report covers
Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
Market 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.