Cloud AI Chipsets Market

Cloud AI Chipsets Market Overview

Cloud AI Chipsets are computational chipsets that focus on workload of AI that is been deployed on cloud or data center. Cloud AI chipsets are designed for AI training or AI inference. Cloud AI chipsets are designed for supporting wide range of AI models including rule based models, deep learning models.

Cloud AI chipset has higher computational power, and higher power consumption. Hence, due to high demand for high performance computing, the demand for cloud AI chipsets is expected to rise, in the coming years.

Cloud AI Chipsets Market: - Impact Analysis of COVID-19 Pandemic

COVID-19 pandemic has impacted the global economy and is prompting uncertain forecasts in technology segments. As nearly half of the world’s population is in partial or full lockdown, people are doing their activities online. The internet traffic has increased by 30% to 40% in last few months.

As business continuity has become a major challenge during the pandemic, fully flexible and scalable cloud resources have become important. The demand for cloud based artificial intelligence is also increasing in various sectors like logistics, warehousing, healthcare and others.

To get ahead of the virus and save as many lives as possible, companies are using artificial intelligence chipset for drug discovery, development, and testing. Hence, the cloud AI chipset market is estimated to witness high growth in 2020 and 2021 as well.

Cloud AI Chipsets Market: - Market Dynamics

High Adoption of Quantum Computing is Driving the Market Growth

Quantum computing aids in processing and transmission of data, and quantum computers are capable of solving complex problems faster as compared to modern binary super computers. Major technology giants across the world are investing more resources and increasing their research and development, with the objective to tap commercial opportunities of providing quantum computing services and solutions to governments and the private sector.

With the usage of quantum computers, it is very easy to break traditional encryption. Use of quantum computing ensures much stronger protection of digital assets, which is anticipated to drive the growth of the market.

Cloud AI Chipsets Market: - Regional Analysis

Globally, North America and Europe dominated the cloud AI chipsets market in terms of revenue in 2019, owing to presence of key players and developments of various projects such as driverless cars, smart home, and IoT in the regions. Moreover, South Asia & Pacific region is estimated to grow with high CAGR due to growing adoption of AI in various industries like automotive, healthcare, retail, and others and increasing investments in AI startups.

Sudip Saha

Principal Consultant

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Cloud AI Chipsets Market: - Key Players

The key players in the Cloud AI Chipsets market

• Huawei Technologies
• Samsung Electronics
• Microsoft, Intel Corporation 
• Advanced Micro Devices
• Qualcomm Technologies
• NVIDIA
• Google

The report is a compilation of first-hand information, qualitative and quantitative assessment by industry analysts, inputs from industry experts and industry participants across the value chain of the global Cloud AI Chipsets market.

The report provides an in-depth analysis of parent market trends, macroeconomic indicators and governing factors along with Cloud AI Chipsets market attractiveness as per segments. The report on Cloud AI Chipsets market also maps the qualitative impact of various factors on Cloud AI Chipsets market segments and geographies.

Regional analysis includes

• North America (U.S., Canada)
• Latin America (Mexico, Brazil, Rest of Latin America)
• Europe (Germany, Italy, U.K, Spain, France, BENELUX, Russia, Rest of Europe)
• East Asia (China, Japan, & South Korea)
• South Asia & Pacific (India, ASEAN, Australia & New Zealand, Rest of  South Asia Pacific)
• Middle East and Africa (GCC Countries, Turkey, South Africa, Rest of MEA)

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Cloud AI Chipsets Market: - Segmentation

By Product :

• Application Specific Integrated Circuit (ASIC)
• Graphic Processing Unit (GPU)
• Central Processing Unit (CPU)
• Field-Programmable Gate Array

By Technology :

• Natural Language Processing
• Machine Learning
• Deep Learning
• Others

By Industry :

• BFSI
• IT & Telecom
• Retail
• Healthcare
• Automotive
• Others