Global AI based Edge Computing Chip Market Research Report 2023-Competitive Analysis, Status and Outlook by Type, Downstream Industry, and Geography, Forecast to 2029

Global AI based Edge Computing Chip Market Research Report 2023-Competitive Analysis, Status and Outlook by Type, Downstream Industry, and Geography, Forecast to 2029


Market Overview:

The latest research study on the global AI based Edge Computing Chip market finds that the global AI based Edge Computing Chip market reached a value of USD 6629.67 million in 2022. It’s expected that the market will achieve USD 22000.31 million by 2028, exhibiting a CAGR of 22.13% during the forecast period.

AI based Edge Computing Chip Market Challenges

For enterprises, the labor cost of AI based Edge Computing Chip will be more obvious. The main reasons for this high labor cost are as follows: First, the development and design of AI based Edge Computing Chip is relatively complicated. Enterprises have great demand for workers with certain skills and proficiency. Enterprises will pay higher wages if they want to hire them. Moreover, when the actual development experience of these talents is mature, enterprises need to pay higher wages if they want to retain these talents. Secondly, in order to cultivate the ability and level of the company's workers, it is necessary to train them regularly, or even go on business trips to study. However, a large amount of costs and expenses incurred in the process of personnel training can only be paid by enterprises themselves, thus increasing the cost burden of enterprises.
In order to curb the COVID-19 epidemic, most countries have introduced many policies, including border blockade and social distancing. The epidemic prevention and control measures will affect the flow of people and activities, and in turn affect logistics, making the production of manufacturing, affected by the supply of raw materials and labor shortages.
For the AI based Edge Computing Chip industry, the blockade policy will affect the supply of raw materials and export trade of products. The social distancing policy may have a great impact on the production of products, for factories, they will spend more money to maintain production during the epidemic, and factories may face the risk of closure in some areas. With the gradual control of the epidemic, some factories began to resume operation. However, while operating production, enterprises need to protect the life and health of employees, such as purchasing masks, disinfectants and other epidemic prevention materials, disinfecting the working environment before and after the production, and testing the body temperature of employees every day to ensure the health of employees. These measures will increase the production cost of enterprises and affect the development of enterprises.

Region Overview:

From 2023-2028, China is estimated to witness robust growth prospects.

Company Overview:

The top three companies are Qualcomm, MediaTek, Huawei Hisilicon, with the revenue market share of 23.44%, 21.84%, 1.95% in 2022.

Qualcomm is an American multinational corporation headquartered in San Diego, California, and incorporated in Delaware. It creates semiconductors, software, and services related to wireless technology. It owns patents critical to the 5G, 4G, CDMA2000, TD-SCDMA and WCDMA mobile communications standards. Portfolio includes products for processors, modems, platforms, RF systems, and connectivity, plus products based on the end-use application of design.

MediaTek is a market leader in developing tightly-integrated, power-efficient systems-on-chip (SoC) for mobile devices, home entertainment, network and connectivity, automated driving, and IoT. MediaTek’s mission is to provide people all over the world with great technology.

Segmentation Overview:

Among different product types, 12nm segment is anticipated to contribute the largest market share in 2028.

Application Overview:

By application, the Consumer Devices segment occupied the biggest share from 2018 to 2022.

Key Companies in the global AI based Edge Computing Chip market covered in Chapter 3:

Huawei Hisilicon
Horizon Robotics
Cambricon
Samsung
Google
Intel
Graphcore
Qualcomm
MediaTek
Nvidia

In Chapter 4 and Chapter 14.2, on the basis of types, the AI based Edge Computing Chip market from 2018 to 2029 is primarily split into:

7nm
12nm
16nm
Others

In Chapter 5 and Chapter 14.3, on the basis of Downstream Industry, the AI based Edge Computing Chip market from 2018 to 2029 covers:

Consumer Devices
Enterprise Devices

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2018-2029) of the following regions are covered in Chapter 8 to Chapter 14:

North America (United States, Canada)
Europe (Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden)
Asia Pacific (China, Japan, South Korea, Australia, India, Indonesia, Philippines, Malaysia)
Latin America (Brazil, Mexico, Argentina)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa)


Chapter 1 Market Definition and Statistical Scope
Chapter 2 Research Findings and Conclusion
Chapter 3 Key Companies’ Profile
Chapter 4 Global AI based Edge Computing Chip Market Segmented by Type
Chapter 5 Global AI based Edge Computing Chip Market Segmented by Downstream Industry
Chapter 6 AI based Edge Computing Chip Industry Chain Analysis
Chapter 7 The Development and Dynamics of AI based Edge Computing Chip Market
Chapter 8 Global AI based Edge Computing Chip Market Segmented by Geography
Chapter 9 North America
Chapter 10 Europe
Chapter 11 Asia Pacific
Chapter 12 Latin America
Chapter 13 Middle East & Africa
Chapter 14 Global AI based Edge Computing Chip Market Forecast by Geography, Type, and Downstream Industry 2023-2029
Chapter 15 Appendix

Download our eBook: How to Succeed Using Market Research

Learn how to effectively navigate the market research process to help guide your organization on the journey to success.

Download eBook
Cookie Settings