Machine Learning Chip Market Trends, Share, Size, Demand, Revenue and Future Outlook: SPER Market Research

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Published: Dec 2024	Report ID: SEMI2442	Pages: 1 - 247	Formats^*:
Category : Semiconductor and Electronics

Global Machine Learning Chip Market Introduction and Overview

According to SPER Market Research, the Global Machine Learning Chip Market is estimated to reach USD 67.29 billion by 2033 with a CAGR of 22.28%.

The report includes an in-depth analysis of the Global Machine Learning Chip Market, including market size and trends, product mix, applications, and supplier analysis. Artificial intelligence (AI) technology that supports deep learning-based applications is a component of machine learning (ML) chips. System-on-chip (SoC), multi-chip module, and system-in-package are some of the technologies it uses. Its hardware infrastructure consists of processing, networking, and storage. It is deployed in a system to optimize tool flows, design, and intellectual property cores. It is economical, helps to avoid mistakes in a process, and effectively saves a significant amount of data. In comparison to larger transistors, it offers fast speed, improves efficiency, and uses less energy. In addition, it helps to enhance analytics, power, performance, and optimization.

In May 2020, NVIDIA revealed the NVIDIA A100, the company's first GPU built on the Ampere architecture. Production is complete, and it is being shipped to clients all around the world. It offers the biggest performance boost the business has seen to far and builds on design innovations in the NVIDIA Ampere architecture.

Market Opportunities and Challenges

Opportunities- One of the main factors driving the market's progress at the moment is the growing trend of digitization and the global expansion of the IT and telecommunications sectors. Additionally, the growing frequency of cyberattacks pushes companies to use fraud detection and database management solutions, which is driving market expansion. In addition, the growing demand for ML chips brought about by the global expansion of smart homes and smart cities is providing industry investors with profitable growth prospects. Furthermore, the industry is being positively impacted by the growing popularity of quantum computing and the use of machine learning (ML) chips in robotics to lower human error and intervention worldwide.

Challenges- A serious lack of semiconductor supplies is one of the main issues. The persistent chip scarcity since 2020 is causing a major disruption in the worldwide semiconductor sector. Numerous industries are being impacted by this problem, including media and advertising, healthcare, IT and telecom, networking, storage, computing, and the automobile and transportation sectors. Businesses are having to wait a long time to get chips; some have reported delays of more than 28 weeks. As a result, companies are ordering more chips than they need in order to guarantee their supply, which puts a burden on manufacturing capacity and raises prices. Chips of many kinds, including CPUs, GPUs, ASICs, FPGAs, System on Chip, System in Package, Multi Chip Module, and others, are highly sought after.

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Market Competitive Landscape

The Global Machine Learning Chip Market is moderately consolidated. Some of the market key players are Advanced Micro Devices, Inc., Amazon Web Services, Inc., BitMain Technologies Holding Company, Graphcore, Google Inc, IBM Corporation, Intel Corporation, Micron Technology, Inc., NVIDIA Corporation, Qualcomm Technologies, Inc., SAMSUNG, Others.

Scope of the report:

Report Metric	Details
Market size available for years	2020-2033
Base year considered	2023
Forecast period	2024-2033
Segments covered	By Chip Type, By Technology, By Industry Vertical
Regions covered	North America, Asia-Pacific, Latin America, Middle East & Africa and Europe
Companies Covered	Advanced Micro Devices, Inc., Amazon Web Services, Inc., BitMain Technologies Holding Company, Graphcore, Google Inc, IBM Corporation, Intel Corporation, Micron Technology, Inc., NVIDIA Corporation, Qualcomm Technologies, Inc., SAMSUNG, Others.

COVID-19 Impact on Global Machine Learning Chip Market

The global market for machine learning chips was significantly impacted by the COVID-19 epidemic, both in terms of opportunities and problems. Due to worldwide lockdowns and travel restrictions, the pandemic, on the one hand, severely disrupted the supply chain, disrupting semiconductor manufacturing and causing delays in the development and delivery of machine learning chips. Chip supply was further hampered by factory labor shortages and logistical issues. But there were also fresh chances brought about by the pandemic. The need for machine learning chips increased as a result of the rise in remote work and digital services, as well as the growing application of AI in healthcare.

Key Target Audience:

Tech Companies and Startups
Data Centers and Cloud Service Providers
Automotive Industry
Healthcare and Medical Research Institutions
Consumer Electronics Manufacturers
Retail and E-commerce Companies
Financial Institutions and Fintech Companies
Government and Defense Agencies

Our in-depth analysis of the Global Machine Learning Chip Market includes the following segments:

By Chip Type:	GPU ASIC FPGA CPU NPU Hybrid Chip Others
By Technology:	System-On-Chip System-In-Package Multi-Chip Module Others
By Industry Vertical:	Media and Advertising BFSI IT and Telecom Retail Healthcare Automotive and Transportation Others

Key Topics Covered in the Report:

Global Machine Learning Chip Market Size (FYâ€™2024-FYâ€™2033)
Overview of Global Machine Learning Chip Market
Segmentation of Global Machine Learning Chip Market By Chip Type (GPU, ASIC, FPGA, CPU, NPU, Hybrid Chip)
Segmentation of Global Machine Learning Chip Market By Technology (System-On-Chip, System-In-Package, Multi-Chip Module, Others)
Segmentation of Global Machine Learning Chip Market By Industry Vertical (Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, Others)
Statistical Snap of Global Machine Learning Chip Market
Expansion Analysis of Global Machine Learning Chip Market
Problems and Obstacles in Global Machine Learning Chip Market
Competitive Landscape in the Global Machine Learning Chip Market
Impact of COVID-19 and Demonetization on Global Machine Learning Chip Market
Details on Current Investment in Global Machine Learning Chip Market
Competitive Analysis of Global Machine Learning Chip Market
Prominent Players in the Global Machine Learning Chip Market
SWOT Analysis of Global Machine Learning Chip Market
Global Machine Learning Chip Market Future Outlook and Projections (FYâ€™2024-FYâ€™2033)
Recommendations from Analyst

1. Introduction

1.1. Scope of the report
1.2. Market segment analysis

2. Research Methodology

2.1. Research data source
2.1.1. Secondary Data
2.1.2. Primary Data
2.1.3. SPERâ€™s internal database
2.1.4. Premium insight from KOLâ€™s
2.2. Market size estimation
2.2.1. Top-down and Bottom-up approach
2.3. Data triangulation

3. Executive Summary

4. Market Dynamics

4.1. Driver, Restraint, Opportunity and Challenges analysis
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.1.4. Challenges
4.2. COVID-19 Impacts of the Global Machine Learning Chip Market

5. Market variable and outlook

5.1. SWOT Analysis
5.1.1. Strengths
5.1.2. Weaknesses
5.1.3. Opportunities
5.1.4. Threats
5.2. PESTEL Analysis
5.2.1. Political Landscape
5.2.2. Economic Landscape
5.2.3. Social Landscape
5.2.4. Technological Landscape
5.2.5. Environmental Landscape
5.2.6. Legal Landscape
5.3. PORTERâ€™s Five Forces
5.3.1. Bargaining power of suppliers
5.3.2. Bargaining power of buyers
5.3.3. Threat of Substitute
5.3.4. Threat of new entrant
5.3.5. Competitive rivalry
5.4. Heat Map Analysis

6. Competitive Landscape

6.1. Global Machine Learning Chip Market Manufacturing Base Distribution, Sales Area, Product Type

6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global Machine Learning Chip Market

7. Global Machine Learning Chip Market, By Chip Type (USD Million) 2020-2033

7.1. Global Machine Learning Chip Market Size, Share and Forecast, By Chip Type, 2020-2026
7.2. Global Machine Learning Chip Market Size, Share and Forecast, By Chip Type, 2027-2033
7.3. GPU
7.4. ASIC
7.5. FPGA
7.6. CPU
7.7. NPU
7.8. Hybrid Chip
7.9. Others

8. Global Machine Learning Chip Market, By Technology (USD Million) 2020-2033

8.1. Global Machine Learning Chip Market Size, Share and Forecast, By Technology, 2020-2026
8.2. Global Machine Learning Chip Market Size, Share and Forecast, By Technology, 2027-2033
8.3. System-On-Chip
8.4. System-In-Package
8.5. Multi-Chip Module
8.6. Others

9. Global Machine Learning Chip Market, By Industry Vertical (USD Million) 2020-2033

9.1. Global Machine Learning Chip Market Size, Share and Forecast, By Industry Vertical, 2020-2026
9.2. Global Machine Learning Chip Market Size, Share and Forecast, By Industry Vertical, 2027-2033
9.3. Media and Advertising
9.4. BFSI
9.5. IT and Telecom
9.6. Retail
9.7. Healthcare
9.8. Automotive and Transportation
9.9. Others

10. Global Machine Learning Chip Market Forecast, 2020-2033 (USD Million)

10.1. Global Machine Learning Chip Market Size and Market Share

11. Global Machine Learning Chip Market, By Region, 2020-2033 (USD Million)

11.1. Global Machine Learning Chip Market Size and Market Share By Region (2020-2026)
11.2. Global Machine Learning Chip Market Size and Market Share By Region (2027-2033)
11.3. Asia-Pacific
11.3.1. Australia
11.3.2. China
11.3.3. India
11.3.4. Japan
11.3.5. South Korea
11.3.6. Rest of Asia-Pacific
11.4. Europe
11.4.1. France
11.4.2. Germany
11.4.3. Italy
11.4.4. Spain
11.4.5. United Kingdom
11.4.6. Rest of Europe
11.5. Middle East and Africa
11.5.1. Kingdom of Saudi Arabia
11.5.2. United Arab Emirates
11.5.3. Qatar
11.5.4. South Africa
11.5.5. Egypt
11.5.6. Morocco
11.5.7. Nigeria
11.5.8. Rest of Middle-East and Africa
11.6. North America
11.6.1. Canada
11.6.2. Mexico
11.6.3. United States
11.7. Latin America
11.7.1. Argentina
11.7.2. Brazil
11.7.3. Rest of Latin America

12. Company Profile

12.1. Advanced Micro Devices, Inc
12.1.1. Company details
12.1.2. Financial outlook
12.1.3. Product summary
12.1.4. Recent developments
12.2. Amazon Web Services, Inc.
12.2.1. Company details
12.2.2. Financial outlook
12.2.3. Product summary
12.2.4. Recent developments
12.3. BitMain Technologies Holding Company
12.3.1. Company details
12.3.2. Financial outlook
12.3.3. Product summary
12.3.4. Recent developments
12.4. Graphcore
12.4.1. Company details
12.4.2. Financial outlook
12.4.3. Product summary
12.4.4. Recent developments
12.5. Google Inc
12.5.1. Company details
12.5.2. Financial outlook
12.5.3. Product summary
12.5.4. Recent developments
12.6. IBM Corporation
12.6.1. Company details
12.6.2. Financial outlook
12.6.3. Product summary
12.6.4. Recent developments
12.7. Intel Corporation
12.7.1. Company details
12.7.2. Financial outlook
12.7.3. Product summary
12.7.4. Recent developments
12.8. Micron Technology, Inc.
12.8.1. Company details
12.8.2. Financial outlook
12.8.3. Product summary
12.8.4. Recent developments
12.9. NVIDIA Corporation
12.9.1. Company details
12.9.2. Financial outlook
12.9.3. Product summary
12.9.4. Recent developments
12.10. Qualcomm Technologies, Inc.
12.10.1. Company details
12.10.2. Financial outlook
12.10.3. Product summary
12.10.4. Recent developments
12.11. SAMSUNG
12.11.1. Company details
12.11.2. Financial outlook
12.11.3. Product summary
12.11.4. Recent developments
12.12. Others

13. Conclusion

14. List of Abbreviations

15. Reference Links

SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.

The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.

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Frequently Asked Questions About This Report

How big is the Machine Learning Chip Market?

Machine Learning Chip Market is projected to reach USD 67.29 billion by 2033, growing at a CAGR of 22.28% during the forecast period.

What is the growth rate of the Machine Learning Chip Market?

Machine Learning Chip Market grew in Market size from 2024. The Market is expected to reach USD 67.29 billion by 2033, at a CAGR of 22.28% during the forecast period.

What is the anticipated CAGR of the Machine Learning Chip Market?

Machine Learning Chip Market CAGR of 22.28% during the forecast period.

How can I get a sample report on the Machine Learning Chip Market?

You can get the sample pages by clicking the link - Click Here

What is the Market size of the Machine Learning Chip Market?

Machine Learning Chip Market size is USD 67.29 billion from 2024 to 2033.

Which segment is expected to Machine Learning Chip Market?

Machine Learning Chip Market is covered By Chip Type, By Technology and By Industry Vertical

Which region is expected to have the highest Market share in the Machine Learning Chip Market?

The North America is anticipated to have the highest Market share in the Machine Learning Chip Market.

Who are the key players in Machine Learning Chip Market?

The Key players in the Market include Companies Covered Advanced Micro Devices, Inc., Amazon Web Services, Inc., BitMain Technologies Holding Company, Graphcore, Google Inc, IBM Corporation, Intel Corporation, Micron Technology, Inc., NVIDIA Corporation, Qualcomm Technologies, Inc., SAMSUNG, Others.

What is the conclusion of the Machine Learning Chip Market?

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