According to the Graphical Research new growth forecast report titled North America Artificial Intelligence (AI) Chipsets Market Size will be around USD 25 billion by 2026. The North America AI chipsets market growth is driven by increasing investments in the regional datacenter infrastructure development. For instance, in June 2020, Equinix, Inc., a datacenter service provider, announced the acquisition of 13 data centers from Bell Canada. The company is set to improve its infrastructure with the adoption of AI-based hybrid multi-cloud architecture in data centers. In addition, in March 2020, Google, Inc. announced to expand its cloud datacenter facilities in the region with an investment of USD 10 billion.
The North America AI chipsets market from Central Processing Unit (CPU) segment is projected to grow at a CAGR of 30% over the forecast period. The growth is credited to several features offered by the CPU architecture such as low latency, higher clock speeds, and serial instruction processing. These features have increased its applications in High-Performance Computing (HPC), servers, and AI workstations. AI CPUs are inexpensive compared to their other counterparts, such as FPGA & ASIC processors, further increasing their adoption in edge AI devices such as laptops, smartphones, etc. In September 2020, Intel Corporation launched ‘Atomx6000E Series’ CPU core processors for applications in AI workstations, Internet of Things (IoT) connected devices, and other computing solutions.
Robotic Process Automation (RPA) technology segment is showcasing a high growth opportunity driven by the increasing adoption of this technology in industrial manufacturing and the packaging sector. The Robotic Process Automation (RPA) technology offers high compliance, accuracy, and improved responsiveness in robotic equipment. The ability to deliver high work efficiency through robotic equipment will add an advantage to RPA technology in the market. Companies are developing innovative RPA solutions to cater to the high demand from semiconductor manufacturing industries. For instance, in August 2019, TCS launched Robotics Process Automating (RPA) solutions, which leverage AI analytics technology to increase the production quality and accuracy in semiconductor manufacturing industries.
The North America AI chipsets market from cloud processing segment is anticipated to grow at a CAGR of over 25% during the forecast timeline. The adoption of cloud computing across various enterprise sectors, such as BFSI, IT & telecom, services industries, etc., is fueling the North America AI chipsets market. Enterprises are deploying public and private cloud models to enhance their business operations over secured cloud networks. Several players are integrating AI chips in cloud infrastructure to improve AI training and inferencing capabilities in the cloud servers. In November 2019, Microsoft had announced to sign an agreement with Graphcore to access their AI chips for Microsoft’s Azure cloud platform. The AI chips will enhance the company’s machine learning algorithms and increase their adoption of invoice processing, video analysis, & image recognition.
The automotive segment is projected to grow at a CAGR of 45% during the forecast period. Rising investments by automotive OEMs to achieve level-V autonomy in vehicles are expected to increase the adoption of AI chipsets in the region. Automotive-grade AI chips deliver several advanced features, such as high-end processing, core data acquisition, and enhanced display functions, increasing their adoption in ADAS systems and self-driving cars. In June 2019, Gyrfalcon Technology, Inc., an AI start-up company based in the U.S., launched an automotive-grade AI accelerator chip that offers optimized performance with low-energy consumption for applications in self-driving cars. Such product innovations by start-up companies will bring new opportunities for segment growth.
Canada accounted for over 10% market share in 2019 and will grow at a CAGR of 30% from 2020 to 2026 in the North America AI chipsets market. Rising investments by the Canadian government in artificial intelligence is one of the major factors fueling the adoption of AI chipsets in the country. For instance, in March 2017, the Government of Canada introduced the ‘Pan-Canadian Artificial Intelligence Strategy’ and announced to invest approximately USD 100 million over the next five years, 2017 to 2022. The investment majorly focuses on research & development activities in AI technology and supportive funding activities toward new AI start-ups.
Industry players are launching technological products to gain a competitive advantage over their market competitors. For instance, In April 2019, Qualcomm Technologies introduced ‘Cloud AI 100 accelerator’, an advanced AI inference processor. This AI chipset offers high power efficiency and advanced signal processing, which find applications in client devices, data centers, and 5G infrastructure. Some of the key players in the North America AI chipsets market are Intel Corporation, Google, IBM, Qualcomm Technologies, Advanced Micro Devices, and Xilinx, among others.
The North America Artificial Intelligence (AI) Chipsets market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD million from 2016 to 2026 for the following segments:
Market Share, By Product
- Graphics Processing Unit (GPU),
- Central Processing Unit (CPU)
- Application-Specific Integrated Circuit (ASIC)
- Field-Programmable Gate Array (FPGA)
Market Size, By Technology
- Natural Language Processing (NLP)
- Robotic Process Automation (RPA)
- Computer Vision
- Network Security
Market Forecast, By Processing Type
Market Value, By Industry Vertical
- Consumer electronics
- Media & advertising
- IT & telecom
The above information has been provided for the following countries: