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Artificial Intelligence in Chipset Market, By Chipset Type (CPU, GPU, FPGA, ASIC, Others), By Worklo

Published Date: May 2020 | Report Code : IT2063650

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Artificial Intelligence in Chipset Market, By Chipset Type (CPU, GPU, FPGA, ASIC, Others), By Workload Domain(Training, Inference), By Computing Technology (Cloud AI Computing, Edge AI Computing), By Vertical (Healthcare, Manufacturing, Automotive, Retail & E-Commerce, Marketing, Consumer Electronics, BFSI, Other), By Region (North America, Europe, Asia Pacific, Middle East & Africa, And South America) – Market Size & Forecasting To 2028

COVID-19 Impact : Our team has been closely monitoring the current developments to identify the potential impact of COVID-19 on stakeholders and business processes across the value chain of industries. A special section about COVID-19 will be covered with the report to help companies in defining sustainable strategies.

Report Code : IT2063650

Status : Published May 2020

The Global Artificial Intelligence in Chipset Market size was valued at USD 7.71 billion in 2019 and is anticipated to grow at a CAGR of 31.3% during the forecast period. Artificial intelligence chipset are functioning the faster running of electronic products. The evolving machine learning technology, growing impact of smart devices and growth in robotics increases the usage of artificial intelligence. The integration of chipset in the AI based device further increase the demand for artificial intelligence chipsets.

Artificial intelligence (AI) chipsets are silicon-based chips powered with Artificial Intelligence technologies, such as deep learning, machine learning, neural network processing, and natural language processing. The AI chipset is a newly developed chip that is designed to carry out difficult AI tasks more efficiently. These chipsets are less power consuming, and they provide high computing capabilities to smart devices. Some of the chipsets are directed at edge processing or devices; some are for servers used in cloud computing and others are directed at machine vision and autonomous vehicle platforms.

Artificial Intelligence in Chipset Market is driven by various factors such as an increase in their use in applied technology, their wide use in various industries like transportation, finance, logistics, healthcare, and education, and the development of big data analytics. Moreover, the use of chips for the development of smart cities in developing countries and rising integration of artificial intelligence in smartphone & smart wearable devices are expected to drive the market growth during the forecast period.

Further, several market players, such as Intel, are developing Intel Nervana Neural Network Processors for combining training and inference workload domains, which are contributing to the growth of the Artificial Intelligence in Chipset Market. Moreover, people are more inclined towards computer vision and machine learning devices, which is a factor that is increasing investment by various industries in high-speed processor development. However, the lack of technically experienced workforce and increasing concern about data security are anticipated to hamper the growth of the market.

Key Factors Impacting the Growth of Artificial Intelligence in Chipset market:

  • Technological advancements
  • Increase in dataset driven technologies
  • Rise in number of AI based applications
  • Increasing preference for improving consumer services

The artificial intelligence chipsets market segmentation is based on technology, hardware, end users, and region.

Segmentation

The Artificial Intelligence in Chipset Market segmentation is based on chipset type, workload domain, computing technology, vertical, and region.

Chipset Type Outlook

Based on chipset type, the market is segmented into CPU, GPU, FPGA, ASIC, and Others. The GPU segment is anticipated to dominate the market owing to the presence of multiple companies such as Arm Limited, Apple Inc., Qualcomm Technologies, Inc., which are more into the development of artificial intelligence chipset designs on GPUs.

However, the major companies are using GPU as the main processor and CPU as an auxiliary processor while building an artificial intelligence chipset. ASIC and FPGA are also anticipated to grow in the forecast period due to its high-performance processors and an increase in their adoption for the development of artificial intelligence chipset by key companies.

Workload Domain Outlook

 Based on workload domain, the Artificial Intelligence in Chipset Market is segmented into Training and Inference. The training segment is accounted to hold maximum market share. The training workload domain is mainly dominated by the GPU segment. Nvidia is dominating the AI training in the cloud. The chipsets designed for training tasks on on-premise servers include Nvidia’s DGX and Huawei’s gateways and servers which feature their Ascend 910 chipset. Fraud monitoring and cybersecurity systems will evolve from rule-based to deep learning-based AI systems, which, in turn, will increase the inference workload.

Computing Technology

Based on the computing technology, the market has been segmented into Cloud AI Computing and Edge AI Computing. Due to an increase in the adoption of training workload domain-based chipsets in cloud AI computing, the segment is anticipated to hold the maximum market share. Also, the cloud AI computing technology is highly used in data centers to improve infrastructural management, which is contributing to the growth of the computing technology segment. Furthermore, the use of Edge AI Computing technology has increased in smartphones, chip deployment, and surveillance devices, which are anticipated to fuel the growth of Edge AI Computing technology. The Edge-based artificial intelligence chipsets for training are, however, still in the early stage of development.

Vertical Outlook

Based on vertical, the market has been segmented into Healthcare, Manufacturing, Automotive, Retail & E-Commerce, Marketing, Consumer Electronics, BFSI, and Other. The Automotive vertical is accounted to grow at a rapid rate owing to the deployment of these chipsets in autonomous vehicles for inference purposes. An increase in the demand for artificial intelligence chipsets in smartphones, robotics, and other control devices are also expected to contribute towards the growth of the market.

Regional Outlook

Based on regions, the market is categorized into North America, Western Europe, Eastern Europe, Asia Pacific, Middle East, & Rest of the World. The North America region is anticipated to dominate the market owing to the presence of a large number of AI chipset manufacturers along with the presence of a huge number of end users,  continuous investments in infrastructure, and an increase in investments in fundamental AI R&D by the Federal Govt., according to the National AI R&D Strategic.

Further, the European region is anticipated to witness rapid growth in the forecast period owing to an increase in the development of autonomous vehicles.

Key Developments in Artificial Intelligence in Chipset Market:

  • In December 2017, NVIDIA developed new TITAN V. The TITAN V is powerful GPU with advanced GPU architecture, NVIDIA Volta. The new product development excels at computational processing for scientific simulation with enhanced energy efficiency and enhances its brand name.
  • In December 2017, Qualcomm Technologies launched new Qualcomm Snapdragon 845 Mobile Platform. This new platform immersive multimedia experiences, including eXtended reality (XR), on-device artificial intelligence (AI), and lightning-fast connectivity.
  • December 2017-NVIDIA introduced TITAN V, the world’s most powerful GPU for the PC, driven by the world’s most advanced GPU architecture, NVIDIA Volta.

What Does This Report Provide?

This report provides a detailed understanding of the global artificial intelligence chipsets market from qualitative and quantitative perspectives during the forecast period. The report also provides dynamic indicators with potential impact on the market during the forecast period and an in-depth analysis of the leading companies operating in the market.

Market Segmentation:

 By Chipset Type

  • CPU
  • GPU
  • FPGA
  • ASIC
  • Others

 By Workload Domain

  • Training
  • Inference

By Computing Technology

  • Cloud AI Computing
  • Edge AI Computing

 By Vertical

  • Healthcare
  • Manufacturing
  • Automotive
  • Retail & E-Commerce
  • Marketing
  • Consumer Electronics
  • BFSI
  • Other

 By Region:

  • North America Artificial Intelligence in Chipset Market
    • By Country (US, Canada, Mexico)
    • By Chipset Type
    • By Workload Domain
    • By Computing Technology
    • By Vertical
  • Europe Artificial Intelligence in Chipset Market
    • By Country (Germany, Russia, UK, France, Italy, Spain, Rest of Europe)
    • By Chipset Type
    • By Workload Domain
    • By Computing Technology
    • By Vertical
  • Asia Pacific Artificial Intelligence in Chipset Market
    • By Country (China, Japan, India, South Korea, Australia, Rest of Asia Pacific)
    • By Chipset Type
    • By Workload Domain
    • By Computing Technology
    • By Vertica
  • Middle East & Africa Artificial Intelligence in Chipset Market
    • By Country (UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa)
    • By Chipset Type
    • By Workload Domain
    • By Computing Technology
    • By Vertical
  • South America Artificial Intelligence in Chipset Market
    • By Country (Brazil, Argentina, Colombia, Rest of South America)
    • By Chipset Type
    • By Workload Domain
    • By Computing Technology
    • By Vertical

 Reasons to Buy This Report:

  • Market size estimation of the artificial intelligence chipsets market on a regional and global basis
  • Unique research Usage for market size estimation and forecast
  • Profiling of major companies operating in the market with key developments
  • Broad scope to cover all the possible segments helping every stakeholder in the market

Customization:

We provide customization of the study to meet specific requirements:

  • By Segment
  • By Sub-segment
  • By Region/Country

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