Global Edge AI Hardware Market Growth (Status and Outlook) 2024-2030

Global Edge AI Hardware Market Growth (Status and Outlook) 2024-2030

According to this study, the global Edge AI Hardware market size will reach US$ 936.3 million by 2030.

The Edge AI Hardware refers to an open platform that integrates network, computing, storage, and application core capabilities on the side close to the object or data source, and provides the nearest-end hardware device.

As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.28%, including software, hardware and services.

This report presents a comprehensive overview, market shares, and growth opportunities of Edge AI Hardware market by product type, application, key players and key regions and countries.

Segmentation by product type:
Smartphones
Cameras
Robots
Automobile
Smart Speakers
Wearables
Smart Mirror
Processor
Others

Segmentation by Application:
City Surveillance
Mobile Internet
Others

This report also splits the market by region:
United States
China
Europe
Other regions:
Japan
South Korea
Southeast Asia
Rest of world

The report also presents the market competition landscape and a corresponding detailed analysis of the major players in the market. The key players covered in this report:
Intel
NVIDIA
Samsung
Huawei
Google
MediaTek
Xilinx
Imagination Technologies
Microsoft
Qualcomm

Please note: The report will take approximately 2 business days to prepare and deliver.