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Energy-efficient Artificial Intelligence Chip market is segmented by Type and by Application. Players, stakeholders, and other participants in the global Energy-efficient Artificial Intelligence Chip market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on production capacity, revenue and forecast by Type and by Application for the period 2017-2028.

Segment by Type

• GPU
• ASIC
• FPGA
• Neuron

Segment by Application

• Industrials
• Military
• Public Safety
• Medical
• Others

By Company

• Nvidia
• Intel
• Xilinx
• Samsung Electronics
• Micron Technology
• Qualcomm Technologies
• IBM
• Google
• Microsoft
• Amazon Web Services (AWS)
• AMD
• General Vision
• Graphcore
• Mellanox Technologies
• Huawei Technologies
• Fujitsu
• Wave Computing
• Mythic
• Adapteva
• Koniku
• Tenstorrent

Production by Region

• North America
• Europe
• China
• Japan
• South Korea
• Taiwan

Consumption by Region

• North America
• United States
• Canada
• Europe
• Germany
• France
• U.K.
• Italy
• Russia
• Asia-Pacific
• China
• Japan
• South Korea
• India
• Australia
• China Taiwan
• Indonesia
• Thailand
• Malaysia
• Latin America
• Mexico
• Brazil
• Argentina
• Middle East & Africa
• Turkey
• Saudi Arabia
• UAE