North America AI chipsets Market share was USD 2.5 billion in 2019 and is expected to grow at a CAGR of over 35%.
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The North America AI chipsets market is gaining traction owing to the significant adoption of robotics and industrial automation in the manufacturing sector. Several manufacturing industries in the region are focusing on integrating industrial robots, automated forklifts, & robotic arms in plant facilities to increase production activities by reducing dependency on the workforce. These automated machinery require AI chipsets for robotic process automation, speech recognition, and computer vision applications. According to the World Robotics 2019 report, North America accounted for 55,212 industrial robot installation in 2018 with a year-on-year growth rate of 20%. A significant increase in the adoption of industrial robots in North America will add new growth opportunities in the AI chipsets market.
The Graphics Processing Unit (GPU) segment held a significant market share of 45% in 2019 and is projected to grow at a CAGR of 35% over the forecast timeline. The market growth can be credited to its significant features such as low latency, low cost, and high-end performance. In addition, high parallel-processing capabilities and improved computing power have encouraged the adoption of GPU architecture in gaming consoles, high-performance computing devices, and workstations. According to Verizon Communications, the U.S. gaming traffic witnessed a 75% increase in March 2020 compared to the previous year. Extensive growth in the U.S. gaming industry with an increased demand for 3D graphics, artificial intelligence, and machine learning technologies in high-end gaming devices will boost the market.
The edge processing segment held a market revenue share of over 60% in 2019 and will create high growth opportunities for segment growth owing to several intuitive features, such as real-time processing, enhanced privacy, and high-speed operations by edge processing in devices. AI chipsets in edge-devices eliminate the requirement of data processing on cloud servers. Such intuitive features by edge-AI processing will significantly boost the market growth. Furthermore, the proliferation of emerging 5G technology in the U.S. and Canada is expected to increase the adoption of 5G enabled edge-AI devices. According to the GSM Association, the number of 5G connections in North America is expected to surpass 205 million by 2025, fueling market growth in the coming years.
The North America market from healthcare application segment is projected to grow from USD 200 million in 2019 to USD 2 billion in 2026. The rising demand for wearable healthcare devices, such as fit bits, smart monitors, wearable watches, etc., in the region is leveraging new growth opportunities for the AI chipsets market. AI chipsets with machine learning capabilities are extensively incorporated into wearable healthcare devices to address various parameters such as tracking sleeping patterns, blood pressure monitoring, and other biomarkers. These chipsets also aid in delivering predictive analysis for any human body abnormalities. According to the January 2020 press release by Pew Research Centre, around one in five adults in the U.S., i.e., 21% of the total, use smartwatches or fitness trackers regularly. The extensive adoption of wearable healthcare devices will add new opportunities for segment growth in the market.
Key players in the market are Intel Corporation, Google, IBM, Qualcomm Technologies, Xilinx, and Groq, Inc., among others. These players are extensively focusing on new product innovations to provide technologically advanced products. For instance, in November 2019, Groq, Inc. launched a new AI chipset with Tensor Streaming Processor (TSP) architecture. The new chipset is capable of 1 PetaOp/sec performance on a single-chip implementation. This chipset is designed for AI inferencing, machine learning, and computer vision applications.