Global Artificial Intelligence Chip Market - Strong Cash Flow in Market is Driving Revenue Growth

Artificial Intelligence Chip Market Latest Edition Published with Forecast to 2027
According to the study, Huge Investment by Major Tech Giants to Develop AI Chips for Cutting-Edge AI Systems is one of the primary growth factors for the market. Surging Demand of Smart Home Devices, RPA, and Other Intelligent Devices is also expected to contribute significantly to the Artificial Intelligence Chip market. Overall, applications of Artificial Intelligence Chip, and the growing awareness of them, is what makes this segment of the industry important to its overall growth. The presence of players such as Intel Corporation (United States), Advanced Micro Devices, Inc. (United States), Google (United States), Nvidia Corporation (United States), Ambarella, Inc. (United States), Atlazo, Inc. (United States), Amazon Web Services (United States), Mythic (United States), Syntiant (United States), Xilinx, Inc. (United States), SK Group (South Korea), Qualcomm (United States), Graphcore (United Kingdom), Adapteva (United States) and Baidu (China) pushing strong cash flow in Market which is also a key in driving revenue growth.

AMA’s Analyst on the Global Artificial Intelligence Chip market identified that the demand is rising in many different parts of the world as "Ongoing US-China Trade War Will Create Significant Opportunities for the Development of AI Chips". Furthermore, some recent industry insights like "In August 2021, Baidu, a China-based tech giant announced that it has begun mass production of 2nd generation Kunlun AI chips to strengthen its position and become a key player in the chip industry. The new AI chips use 7nm process technology and have two-to-three times more computational capability compared to the previous generation. With this move, the main aim of the company is to reduce China’s dependence on foreign tech giants for semiconductors and make Kunlun a standalone company." is constantly making the industry dynamic. One of the challenges that industry facing is "Insufficient data in the AI Chips About the End Market"

The report provides an in-depth analysis and forecast about the industry covering the following key features:

• Detailed Overview of Artificial Intelligence Chip market will help deliver clients and businesses making strategies.
• Influencing factors that thriving demand and latest trend running in the market
• What is the market concentration? Is it fragmented or highly concentrated?
• What trends, challenges and barriers will impact the development and sizing of Artificial Intelligence Chip market
• SWOT Analysis of profiled players and Porter's five forces & PEST Analysis for deep insights.
• What growth momentum or downgrade market may carry during the forecast period?
• Which region may tap highest market share in coming era?
• What focused approach and constraints are holding the Artificial Intelligence Chip market tight?
• Which application/end-user category or Product Type [Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Tensor Processing Unit (TPU) and Others] may seek incremental growth prospects?
• What would be the market share of key countries like Germany, USA, France, China etc.?

Market Size Estimation
In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the Artificial Intelligence Chip market and other related sub-markets covered in the study.

o Key & emerging players in the Artificial Intelligence Chip market have been observed through secondary research.
o The industry’s supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes.
o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation
The overall Artificial Intelligence Chip market size is calculated using market estimation process, the Artificial Intelligence Chip market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global Artificial Intelligence Chip market size has been validated using both top-down and bottom-up approaches.

Praveen Kumar

Head & Director of Sales