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North America AI Chipsets Market 2020 Industry Challenges, Business Overview and Forecast Research Study 2026

Jan 13, 2021 (Market Insight Reports) --
The North America AI chipsets market is set to experience a remarkable transformation over the next few years, with the growing adoption of robotics and automation in the industrial sector. The region accounted for over 55,000 industrial robot installations during 2018 with a 20% year-on-year growth rate.

A large number of manufacturing industries in North America are integrating advanced machinery such as automated forklifts, robotic arms, and industrial robots to boost production. These automated systems require AI chipsets for applications such as speech recognition, robotic process automation, and computer vision.

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Reports estimate that the North America AI chipsets market size will be worth more than US$25 billion by 2026. Let's take a loot at some of the most prominent trends bolstering the industry outlook.

The AI CPU industry in North America is projected to record a robust 30% CAGR through 2026. The CPU architecture offers higher clock speeds, low latency, and serial instruction processing capabilities, making it applicable in high-performance computing (HPC) servers. Additionally, AI CPUs are less expensive than FPGA and ASIC processors.

In September 2020, Intel Corporation had rolled out the Atomx6000E Series of AI CPU core processors for AI workstation and IoT connected device applications.

The demand for AI GPUs, on the other hand, is likely to grow at a CAGR of 35% through 2026, with a positive application outlook in gaming consoles, HPC devices, and workstations. The number of gamers in the region has increased exponentially over the years, creating a substantial need for hi-tech GPU processors.

Verizon Communications had reported an upsurge of nearly 75% in the U.S. gaming traffic compared to the previous year.

Edge processing is increasingly gaining traction on account of features such as highspeed real-time processing and enhanced privacy. In addition, AI chipsets in edge devices eliminate the need for data processing on cloud servers. The deployment of the next-generation 5G technology in the U.S. and Canada will undeniably boost the adoption of 5G enabled AI edge devices.

The edge processing segment had captured over 60% revenue share of North America AI chipsets market in 2019 and it is expected to witness notable growth by 2026.

The wide use cloud computing across BFSI, IT, telecom, and other end-use sectors, however, is likely to promote the adoption of cloud processing. Many leading industry players are implementing AI chipsets in the cloud infrastructure to enhance AI training capabilities. In November 2020, for instance, Microsoft Corporation had partnered with Graphcore to access their AI chipsets on the Azure cloud platform.

The North America AI chipsets market share from cloud processing segment is slated to grow at a healthy 25% CAGR up to 2026.

The adoption of AI chipsets in North America's automotive sector is expected to rise at a substantial CAGR of 45% through 2026. Regional automakers are focusing on achieving a level-V autonomy in vehicles. Automotive grade AI chipsets deliver numerous advanced features including core data acquisition, high-end processing, and improved display functions, making them suitable for ADAS.

In June 2019, AI startup Gyrfalcon Technology, Inc., had unveiled an automotive grade AI accelerator chipset that delivers an optimized performance and ensure low energy consumption.

Meanwhile, the adoption of AI chips in the healthcare sector is being driven by the demand for wearables such as fitness trackers and smart monitors. Around 21% of the U.S. adults use fitness trackers regularly, according to January 2020 press release by Pew Research Centre. Machine learning based chipsets can be used to monitor blood pressure, sleeping patterns, and other parameters. They also help in providing predictive analysis to detect any abnormalities in the body.

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The North America AI chipsets market size from the healthcare sector is poised to hit US$2 billion in 2026, up from US$200 million in 2019.

Future developments in the industry will likely be driven by increasing investments in the regional data center infrastructure development. In March 2020, Google, Inc., had disclosed plans to invest nearly US$10 billion to expand its cloud data center infrastructure in the U.S.

Table of Contents (ToC) of the report:

Chapter 4 North America AI Chipsets Market Share, By Product (USD)

4.1 North America AI Chipsets Market, by product, 2015-2026

4.2 GPU

4.2.1 Market estimates and forecast, 2016 - 2026

4.3 ASIC

4.3.1 Market estimates and forecast, 2016 - 2026

4.4 CPU

4.4.1 Market estimates and forecast, 2016 - 2026

4.5 FPGA

4.5.1 Market estimates and forecast, 2016 - 2026

Chapter 5 North America AI Chipsets Market Trends, By Technology (USD)

5.1 North America AI Chipsets Market, by technology, 2015-2026

5.2 NLP

5.2.1 Market estimates and forecast, 2016 - 2026

5.3 RPA

5.3.1 Market estimates and forecast, 2016 - 2026

5.4 Computer vision

5.4.1 Market estimates and forecast, 2016 - 2026

5.5 Network security

5.5.1 Market estimates and forecast, 2016 - 2026

5.6 Others

5.6.1 Market estimates and forecast, 2016 - 2026

Browse complete Table of Contents (ToC) of this research report @ https://www.graphicalresearch.com/table-of-content/1485/north-america-artificial-intelligence-ai-chipsets-market

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