Machine Learning Processor Market Size, Share, Opportunities, COVID-19 Impact, And Trends By Processor Type (GPU, ASIC, CPU, FPGA), By Technology (System-On-Processor (SIC), System-IN-Package (SIP), Multi-Processor Module, Others), By Industry Vertical (Consumer Electronics, Communication & Technology, Retail, Healthcare, Automotive, Others), And By Geography - Forecasts From 2022 To 2027

  • Published : Oct 2022
  • Report Code : KSI061611688
  • Pages : 138

The global machine learning processor market is projected to grow at a CAGR of 19.04% during the forecast period, reaching a total market size of US$8.843 billion in 2027 from US$2.610 billion in 2020. The global machine learning processor market is rising due to the growing popularity of artificial intelligence and the trend toward big data. Increasing IoT devices is further driving the demand for machine learning processors, thereby driving the market growth. The increasing number of AI applications, improved computer power, and falling hardware costs are driving machine learning processor sales. The high adoption of artificial intelligence by various industries for automation purposes is driving the market for machine learning processors. The increasing amount of data generated nowadays from all technical sources is growing the requirement for faster and more advanced machine learning processors for faster analysis. Companies are heavily investing in research and development to introduce new and updated products to occupy a larger market share. The machine learning processor is improving consumer services and reducing operational costs, which are significantly driving the market growth.

However, the lack of a skilled workforce and the absence of standards and protocols are restraining the market growth of machine learning processors. AI is a complex system, and developing, managing, and implementing, it requires employees with certain skill sets.

The global machine learning processor market is segmented by processor type, technology, end-user industry, and geography. By processor type, the market is segmented into GPU, ASIC, CPU, and FPGA. By technology, the global machine learning processor market is segmented into System-On-Processor (SIC), System-In-Package (SIP), multi-processor module, and others. By industry vertical, the market is segmented into consumer electronics, communication and technology, retail, healthcare, automotive, and others.

GPU has a significant share of the market

GPU (graphics processing units) are increasingly being used for gaming and video viewing purposes. Advancing and new technology like AR (Augmented Reality) is driving the demand for GPU processors in the market. The CPU is expected to witness a decent CAGR during the forecast period due to the increasing use of Quantum computing. Quantum computing takes only a few seconds to complete a calculation that otherwise may take thousands of years. The FPGA is driving the machine learning processor market as new and advanced technology is coming every year and people are continuously updating according to the current trend, and the FPGAs processor makes it faster to configure. ASICs processor is increasingly being used by different industries for carrying out specific tasks according to the requirement of the industry, thereby positively impacting the market growth.

By technology, System-On-Chip one of the major segments

System-On-Chip has a noteworthy share in the global machine learning processor market on account of the growing market for smartphones. System-On-Chip includes a central processing unit, memory, input/output ports, and secondary storage – all on a single substrate or microprocessor, the size of a coin, which is perfectly suitable for smartphones. System-On-Chip is usually used in smartphones for better performance and faster processing of multi-task activities. System-in-package is increasingly boosting the market for machine learning processors due to its usage in 3D development. The heavy inflow of investments by market players into this technology is expanding its scope of application from smartphones and media players to many more applications across a wider range of industries. Since this technology supports a wider range of integration techniques than many other technologies, end-users seeking more flexibility in solutions are showing a continuously increasing adoption of this technology, thus fueling the market growth.

Consumer Electronics is one of the major industries for machine learning processor market players

The consumer electronics segment accounts for a significant market share during the forecast period. The increasing advancement in technology is building the market for better devices with improved applications. The future of technology is dependent on the increasing use of artificial intelligence and big data. Companies are using a machine learning processor in smartphones to improve their features and maximize capabilities, like a faster processor and improved multi-tasking ability. Smartphones and tablets are coming embedded with artificial intelligence for enhancing customer experience and a better user interface. Hence, the growing demand for advanced consumer electronics is spurring the demand for machine learning processors. Increased usage of advanced technologies in healthcare and communication & technology is giving rise to the use of machine learning processors as new devices are highly embedded with machine learning processors for better performance. The retail sector is expected to experience significant market growth during the forecast period owing to the booming global e-commerce industry. The automotive industry is poised to grow at a substantial CAGR during the forecast period owing to investments in connected and autonomous cars.

By geography, North America has a notable share of the market

Regionally, the global machine learning processor market is classified into North America, South America, Europe, the Middle East and Africa, and the Asia Pacific. North America is expected to have a notable market share in the global machine learning processor market owing to the early adoption of advanced technologies and the presence of major market players in the region. Global software and hardware companies present in this region are increasingly using artificial intelligence, big data, and augmented reality for improving technology and provide better services to customers. High investments in artificial intelligence will further bolster the market growth of machine learning processors across this region throughout the forecast period. For example, a Seattle-based AI-enabled sales enablement platform, Highspot, raised US$75 million in a Series D-1 investment round with ICONIQ Capital as the lead investor, with other investors including Madrona Venture Group, Sapphire Ventures, Salesforce Ventures, and OpenView. With this round, the company’s total funding valuation reached US$200 million.

Recent development and expansion

  • Nvidia Corp announced new chip Grace in March 2022, which increases the computing speed of increasingly complex artificial intelligence algorithms, increasing competition against rival chipmakers vying for lucrative data centre business.
  • Amazon Web Services (AWS) introduced its latest Graviton processor chip, as well as a new machine learning chip called Trainium, in December 2021. The new chip has 2x faster floating-point performance and a 3x speedup for machine-learning workloads, all while using 60% less power.
  • Atlazo, Inc. launched its first-generation AI SoC, the AZ-N1, for smart tiny devices in January 2021. The device is the industry's first fully integrated AI SoC, with a highly power-efficient AI and Machine Learning processor (Axon ITM) for audio, voice, health monitoring, and sensors. Its mission was to provide smart tiny edge devices with a new level of always-on AI capabilities and analytics in an SoC form, allowing for the release of new features and applications.

Covid 19 impact on Machine Learning Processor Market

The COVID-19 virus had a negative impact on the machine-learning processor market due to strict lockdowns and social distancing to contain the virus's spread. A temporary business shutdown impacted demand for the machine learning processor market. During the pandemic, the supply chain and logistics activities were hampered. However, due to the relaxation of restrictions, the machine-learning processor market is expected to pick up steam in the post-pandemic scenario.

Machine Learning Processor Market Scope:

 

Report Metric Details
 Market Size Value in 2020  US$2.610 billion
 Market Size Value in 2027  US$8.843 billion
 Growth Rate  CAGR of 19.04% from 2020 to 2027
 Base Year  2020
 Forecast Period  2022–2027
 Forecast Unit (Value)  USD Billion
 Segments Covered  Processor Type, Technology, Industry Vertical, And Geography
 Regions Covered  North America, South America, Europe, Middle East and Africa, Asia Pacific
 Companies Covered ARM Limited, NVIDIA Corporation, Samsung, Alphabet, Amazon, Intel, Qualcomm, Graphcore, Apple
 Customization Scope  Free report customization with purchase

 

Market Segmentation

  • By Processor Type
    • GPU
    • ASIC
    • CPU
    • FPGA
  • By Technology
    • System-On-Processor (SIC)
    • System-IN-Package (SIP)
    • Multi-Processor Module
    • Others
  • By Industry Vertical
    • Consumer Electronics
    • Communication & Technology
    • Retail
    • Healthcare
    • Automotive
    • Others
  • By Geography
    • North America
      • USA
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Others
    • Europe
      • Germany
      • France
      • United Kingdom
      • Spain
      • Others
    • Middle East and Africa
      • Saudi Arabia
      • Israel
      • UAE
      • Others
    • Asia Pacific
      • China
      • Japan
      • South Korea
      • India
      • Thailand
      • Taiwan
      • Indonesia
      • Others

Frequently Asked Questions (FAQs)

The global machine learning processor market is projected to reach a total market size of US$8.843 billion by 2027.
The machine learning processor market is projected to grow at a CAGR of 19.04% during the forecast period.
Machine Learning Processor Market was valued at US$2.610 billion in 2020.
The global machine learning processor market is rising due to the growing popularity of artificial intelligence and the trend towards big data.
North America is expected to have a notable share in the global machine learning processor market owing to the early adoption of advanced technologies and the presence of major market players in the region.

1. Introduction

1.1. Market Overview

1.2. Covid 19 Scenario

1.3. Market Definition

1.4. Market Segmentation

 

2. Research Methodology

2.1. Research Data

2.2. Assumptions

 

3. Executive Summary

3.1. Research Highlights

 

4. Market Dynamics

4.1. Market Drivers

4.2. Market Restraints

4.3. Porters Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

 

5. Global Machine Learning Processor Market Analysis, By Processor Type

5.1. Introduction

5.2. GPU

5.3. ASIC

5.4. CPU

5.5. FPGA

 

6. Global Machine Learning Processor Market Analysis, By Technology

6.1. Introduction

6.2. System-On-Processor (SIC)

6.3. System-IN-Package (SIP)

6.4. Multi-Processor Module

6.5. Others

 

7. Global Machine Learning Processor Market Analysis, By Industry Vertical

7.1. Introduction

7.2. Consumer Electronics

7.3. Communication & Technology

7.4. Retail

7.5. Healthcare

7.6. Automotive

7.7. Others

 

8. Global Machine Learning Processor Market Analysis, By Geography

8.1. Introduction

8.2. North America

8.2.1. USA

8.2.2. Canada

8.2.3. Mexico

8.3. South America

8.3.1. Brazil

8.3.2. Argentina

8.3.3. Others

8.4. Europe

8.4.1. Germany

8.4.2. France

8.4.3. United Kingdom

8.4.4. Spain

8.4.5. Others

8.5. Middle East and Africa

8.5.1. Saudi Arabia

8.5.2. Israel

8.5.3. UAE

8.5.4. Others

8.6. Asia Pacific

8.6.1. China

8.6.2. Japan

8.6.3. South Korea

8.6.4. India

8.6.5. Thailand

8.6.6. Taiwan

8.6.7. Indonesia 

8.6.8. Others

 

9. Competitive Environment and Analysis

9.1. Major Players and Strategy Analysis

9.2. Emerging Players and Market Lucrativeness

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Vendor Competitiveness Matrix

 

10. Company Profiles

10.1. ARM Limited

10.2. NVIDIA Corporation

10.3. Samsung

10.4. Alphabet

10.5. Amazon

10.6. Intel

10.7. Qualcomm

10.8. Graphcore

10.9. Apple


ARM Limited

NVIDIA Corporation

Samsung

Alphabet

Amazon

Intel

Qualcomm

Graphcore

Apple