머신러닝 칩 시장 규모, 점유율, 동향 분석 : 기술별, 칩 유형별, 산업별, 지역별 전망 및 예측(2024-2031년)

The Global Machine Learning Chip Market size is expected to reach $45.0 billion by 2031, rising at a market growth of 22.0% CAGR during the forecast period.

The North America region witnessed 37% revenue share in this market in 2023. This can be attributed to the presence of major technology companies, high levels of investment in AI and machine learning, and strong demand for advanced computational power in sectors such as IT, healthcare, automotive, and finance. North America is home to leading ML chip manufacturers, startups, and research institutions, which drive innovation and the adoption of cutting-edge machine learning technologies.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In October, 2024, Advanced Micro Devices Inc. unveiled the MI325x AI chip, competing with Nvidia's Blackwell series in the AI hardware market. It offers improved processing power, energy efficiency, and compatibility with open-source frameworks. Built on a 3nm process, the MI325x features RDNA4 architecture for enhanced deep learning performance. Moreover, In October, 2024, Infineon Technologies is enhancing its AI software portfolio with the launch of DEEPCRAFT, a brand for Edge AI and Machine Learning solutions. DEEPCRAFT includes existing products like DEEPCRAFT Studio and Ready Models and will expand to offer a broader range of Edge AI software, models, and solutions for diverse applications.

KBV Cardinal Matrix - Machine Learning Chip Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; NVIDIA Corporation and Amazon Web Services, Inc. are the forerunners in the Machine Learning Chip Market. Companies such as Samsung Electronics Co., Ltd., Qualcomm Incorporated, and IBM Corporation are some of the key innovators in Machine Learning Chip Market. In October, 2024, Qualcomm Incorporated unveiled the Snapdragon 8 Elite Mobile Platform, the world's fastest mobile system-on-a-chip, featuring the second-gen Qualcomm Oryon CPU, Adreno GPU, and Hexagon NPU. These innovations enable game-changing performance, multi-modal generative AI, and enhanced camera, gaming, and browsing experiences while prioritizing user privacy and power efficiency.

Market Growth Factors

The increasing use of artificial intelligence (AI) and machine learning (ML) across various industries, including healthcare, finance, automotive, and retail, is a key driver for this market. Industries are turning to AI and ML for enhanced data analysis, automation, and decision-making capabilities, which require specialized hardware for optimal performance. In conclusion, rising demand for AI and machine learning applications across various industries drives the market's growth.

Additionally, The deployment of 5G networks is crucial in accelerating the demand for these chips, as 5G offers ultra-low latency, faster data transfer speeds, and higher bandwidth. These capabilities are essential for real-time machine learning applications, such as autonomous vehicles, smart cities, and augmented reality, where rapid data processing is required to make split-second decisions. Hence, the emergence of 5G networks and the need for low-latency AI processing drive the market's growth.

Market Restraining Factors

However, One of the primary restraints this market faces is the high cost of developing and manufacturing specialized chips. Unlike general-purpose processors, these chips must be designed to handle specific tasks, such as deep learning and data-intensive computations. This often requires advanced research, significant design efforts, and costly production processes, which can make these chips prohibitively expensive for smaller companies or startups. Therefore, specialized these chips' high development and manufacturing costs hinder the market's growth.

Technology Outlook

Based on technology, the machine learning chip market is divided into system-on-chip (SoC), system-in-package, multi-chip module, and others. The system-in-package segment held 25% revenue share in this market in 2023. SiP technology involves packaging multiple integrated circuits (ICs) within a single package, offering greater flexibility in design. This approach combines different chips, such as processors, memory, and sensors, into one compact unit. SiPs are particularly beneficial for edge computing, IoT devices, and portable electronics, where space and customization are crucial.

Chip Type Outlook

On the basis of chip type, the machine learning chip market is segmented into GPU, ASIC, neuromorphic chip, FPGA, flash-based chip, CPU, and others. The ASIC segment held 25% revenue share in this market in 2023. ASICs are custom-designed chips optimized for specific tasks, making them highly efficient and powerful for specialized machine learning applications. Their application in data centers, autonomous vehicles, and high-frequency trading is growing, as they can significantly reduce processing time and power consumption for tasks like deep learning model inference.

Industry Vertical Outlook

By industry vertical, the machine learning chip market is divided into BFSI, IT and telecom, media and advertising, retail, healthcare, automotive, robotics industry, and others. The BFSI segment procured 13% revenue share in this market in 2023. Financial institutions increasingly leverage machine learning algorithms for fraud detection, risk management, customer personalization, and high-frequency trading. The need for real-time data processing and accurate predictive models in this industry has driven the adoption of specialized ML chips, which enhance the performance and efficiency of these computational tasks.

Regional Outlook

Region-wise, the machine learning chip market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Asia Pacific region generated 26% revenue share in this market in 2023. This growth is driven by the rapid adoption of AI and machine learning technologies across diverse industries in China, Japan, South Korea, and India. The region has seen significant advancements in sectors such as automotive (especially with autonomous vehicles), healthcare (through AI-powered diagnostics), and telecommunications (with the rollout of 5G and edge computing).

Market Competition and Attributes

The Machine Learning Chip Market, excluding top key players, is characterized by intense competition among mid-sized and emerging companies. Innovators focus on specialized solutions, cost-effective chips, and niche applications like IoT and edge AI. Regional players leverage local manufacturing and customizations to gain an edge. Partnerships and collaborations drive growth, while barriers include R&D costs and scaling challenges.

Recent Strategies Deployed in the Market

• Sep-2024: Qualcomm Incorporated unveiled the Snapdragon X Plus 8-core chip, expanding its AI PC processor range. Featuring eight CPU cores, it offers 61% faster performance with lower power consumption. The chip includes an Adreno GPU and NPU for AI tasks, promising enhanced performance, AI experiences, and improved battery life for affordable Copilot+ PCs.
• Aug-2024: Samsung Electronics Co., Ltd. unveiled new LPDDR5X DRAM chips that are 9% thinner than previous models and offer 21% better heat resistance. These chips enhance performance, particularly for AI tasks, and improve airflow in mobile devices. They support Galaxy AI applications and are also suitable for smartwatches and IoT devices, with future 6-layer and 8-layer modules planned.
• Apr-2024: Qualcomm Incorporated unveiled new industrial and embedded AI platforms alongside a micro-power Wi-Fi SoC. The QCC730 Wi-Fi solution offers significant power savings for IoT products, while the RB3 Gen 2 Platform provides high-performance processing, on-device AI, and Wi-Fi 6E support for various applications like robots, drones, and connected cameras. The platform also integrates Qualcomm's AI Hub for optimized AI models.
• Apr-2024: Infineon Technologies AG has unveiled its new PSOC Edge E8x MCU product family, designed to meet the highest certification level provided by the Platform Security Architecture (PSA) Certified program. The PSOC Edge E8x devices achieve PSA Certified Level 4 device certification by implementing an on-chip, hardware-isolated enclave for secured boot, key storage, and crypto operations. This robust embedded security certification ensures that IoT designers can develop edge applications with the highest levels of security, benefiting industries such as wearables, smart homes, printers, and payment terminals.
• Mar-2024: NXP Semiconductors N.V. teamed up with NVIDIA to integrate NVIDIA's TAO Toolkit into NXP's eIQ machine learning development environment. This collaboration simplifies AI model deployment on NXP's edge devices, accelerating development with pre-trained models, transfer learning, and optimized inference, making it easier for developers to build and deploy AI solutions.

List of Key Companies Profiled

• Advanced Micro Devices Inc.
• Samsung Electronics Co., Ltd. (Samsung Group)
• NXP Semiconductors N.V.
• Qualcomm Incorporated (Qualcomm Technologies, Inc.)
• NVIDIA Corporation
• Intel Corporation
• Infineon Technologies AG
• IBM Corporation
• Amazon Web Services, Inc. (Amazon.com, Inc.)
• Cerebras Systems Inc.

Global Machine Learning Chip Market Report Segmentation

By Technology

• System-on-Chip (SoC)
• System-in-Package
• Multi-chip Module
• Other Technology

By Chip Type

• GPU Chip
• ASIC Chip
• CPU Chip
• FPGA Chip
• Flash-Based Chip
• Neuromorphic Chip
• Others

By Industry Vertical

• IT & Telecom
• Consumer Electronics
• BFSI
• Retail
• Automotive
• Healthcare
• Media & Advertising
• Robotics Industry
• Others

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
• Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global Machine Learning Chip Market, by Technology
  • 1.4.2 Global Machine Learning Chip Market, by Chip Type
  • 1.4.3 Global Machine Learning Chip Market, by Industry Vertical
  • 1.4.4 Global Machine Learning Chip Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 KBV Cardinal Matrix
• 4.2 Recent Industry Wide Strategic Developments
  • 4.2.1 Partnerships, Collaborations and Agreements
  • 4.2.2 Product Launches and Product Expansions
  • 4.2.3 Acquisition and Mergers
• 4.3 Market Share Analysis, 2023
• 4.4 Top Winning Strategies
  • 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
  • 4.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2021, Jun - 2024, Oct) Leading Players
• 4.5 Porter Five Forces Analysis

Chapter 5. Global Machine Learning Chip Market by Technology

• 5.1 Global System-on-Chip (SoC) Market by Region
• 5.2 Global System-in-Package Market by Region
• 5.3 Global Multi-chip Module Market by Region
• 5.4 Global Other Technology Market by Region

Chapter 6. Global Machine Learning Chip Market by Chip Type

• 6.1 Global GPU Chip Market by Region
• 6.2 Global ASIC Chip Market by Region
• 6.3 Global CPU Chip Market by Region
• 6.4 Global FPGA Chip Market by Region
• 6.5 Global Flash-Based Chip Market by Region
• 6.6 Global Neuromorphic Chip Market by Region
• 6.7 Global Others Market by Region

Chapter 7. Global Machine Learning Chip Market by Industry Vertical

• 7.1 Global IT & Telecom Market by Region
• 7.2 Global Consumer Electronics Market by Region
• 7.3 Global BFSI Market by Region
• 7.4 Global Retail Market by Region
• 7.5 Global Automotive Market by Region
• 7.6 Global Healthcare Market by Region
• 7.7 Global Media & Advertising Market by Region
• 7.8 Global Robotics Industry Market by Region
• 7.9 Global Others Market by Region

Chapter 8. Global Machine Learning Chip Market by Region

• 8.1 North America Machine Learning Chip Market
  • 8.1.1 North America Machine Learning Chip Market by Technology
    • 8.1.1.1 North America System-on-Chip (SoC) Market by Country
    • 8.1.1.2 North America System-in-Package Market by Country
    • 8.1.1.3 North America Multi-chip Module Market by Country
    • 8.1.1.4 North America Other Technology Market by Country
  • 8.1.2 North America Machine Learning Chip Market by Chip Type
    • 8.1.2.1 North America GPU Chip Market by Country
    • 8.1.2.2 North America ASIC Chip Market by Country
    • 8.1.2.3 North America CPU Chip Market by Country
    • 8.1.2.4 North America FPGA Chip Market by Country
    • 8.1.2.5 North America Flash-Based Chip Market by Country
    • 8.1.2.6 North America Neuromorphic Chip Market by Country
    • 8.1.2.7 North America Others Market by Country
  • 8.1.3 North America Machine Learning Chip Market by Industry Vertical
    • 8.1.3.1 North America IT & Telecom Market by Country
    • 8.1.3.2 North America Consumer Electronics Market by Country
    • 8.1.3.3 North America BFSI Market by Country
    • 8.1.3.4 North America Retail Market by Country
    • 8.1.3.5 North America Automotive Market by Country
    • 8.1.3.6 North America Healthcare Market by Country
    • 8.1.3.7 North America Media & Advertising Market by Country
    • 8.1.3.8 North America Robotics Industry Market by Country
    • 8.1.3.9 North America Others Market by Country
  • 8.1.4 North America Machine Learning Chip Market by Country
    • 8.1.4.1 US Machine Learning Chip Market
      • 8.1.4.1.1 US Machine Learning Chip Market by Technology
      • 8.1.4.1.2 US Machine Learning Chip Market by Chip Type
      • 8.1.4.1.3 US Machine Learning Chip Market by Industry Vertical
    • 8.1.4.2 Canada Machine Learning Chip Market
      • 8.1.4.2.1 Canada Machine Learning Chip Market by Technology
      • 8.1.4.2.2 Canada Machine Learning Chip Market by Chip Type
      • 8.1.4.2.3 Canada Machine Learning Chip Market by Industry Vertical
    • 8.1.4.3 Mexico Machine Learning Chip Market
      • 8.1.4.3.1 Mexico Machine Learning Chip Market by Technology
      • 8.1.4.3.2 Mexico Machine Learning Chip Market by Chip Type
      • 8.1.4.3.3 Mexico Machine Learning Chip Market by Industry Vertical
    • 8.1.4.4 Rest of North America Machine Learning Chip Market
      • 8.1.4.4.1 Rest of North America Machine Learning Chip Market by Technology
      • 8.1.4.4.2 Rest of North America Machine Learning Chip Market by Chip Type
      • 8.1.4.4.3 Rest of North America Machine Learning Chip Market by Industry Vertical
• 8.2 Europe Machine Learning Chip Market
  • 8.2.1 Europe Machine Learning Chip Market by Technology
    • 8.2.1.1 Europe System-on-Chip (SoC) Market by Country
    • 8.2.1.2 Europe System-in-Package Market by Country
    • 8.2.1.3 Europe Multi-chip Module Market by Country
    • 8.2.1.4 Europe Other Technology Market by Country
  • 8.2.2 Europe Machine Learning Chip Market by Chip Type
    • 8.2.2.1 Europe GPU Chip Market by Country
    • 8.2.2.2 Europe ASIC Chip Market by Country
    • 8.2.2.3 Europe CPU Chip Market by Country
    • 8.2.2.4 Europe FPGA Chip Market by Country
    • 8.2.2.5 Europe Flash-Based Chip Market by Country
    • 8.2.2.6 Europe Neuromorphic Chip Market by Country
    • 8.2.2.7 Europe Others Market by Country
  • 8.2.3 Europe Machine Learning Chip Market by Industry Vertical
    • 8.2.3.1 Europe IT & Telecom Market by Country
    • 8.2.3.2 Europe Consumer Electronics Market by Country
    • 8.2.3.3 Europe BFSI Market by Country
    • 8.2.3.4 Europe Retail Market by Country
    • 8.2.3.5 Europe Automotive Market by Country
    • 8.2.3.6 Europe Healthcare Market by Country
    • 8.2.3.7 Europe Media & Advertising Market by Country
    • 8.2.3.8 Europe Robotics Industry Market by Country
    • 8.2.3.9 Europe Others Market by Country
  • 8.2.4 Europe Machine Learning Chip Market by Country
    • 8.2.4.1 Germany Machine Learning Chip Market
      • 8.2.4.1.1 Germany Machine Learning Chip Market by Technology
      • 8.2.4.1.2 Germany Machine Learning Chip Market by Chip Type
      • 8.2.4.1.3 Germany Machine Learning Chip Market by Industry Vertical
    • 8.2.4.2 UK Machine Learning Chip Market
      • 8.2.4.2.1 UK Machine Learning Chip Market by Technology
      • 8.2.4.2.2 UK Machine Learning Chip Market by Chip Type
      • 8.2.4.2.3 UK Machine Learning Chip Market by Industry Vertical
    • 8.2.4.3 France Machine Learning Chip Market
      • 8.2.4.3.1 France Machine Learning Chip Market by Technology
      • 8.2.4.3.2 France Machine Learning Chip Market by Chip Type
      • 8.2.4.3.3 France Machine Learning Chip Market by Industry Vertical
    • 8.2.4.4 Russia Machine Learning Chip Market
      • 8.2.4.4.1 Russia Machine Learning Chip Market by Technology
      • 8.2.4.4.2 Russia Machine Learning Chip Market by Chip Type
      • 8.2.4.4.3 Russia Machine Learning Chip Market by Industry Vertical
    • 8.2.4.5 Spain Machine Learning Chip Market
      • 8.2.4.5.1 Spain Machine Learning Chip Market by Technology
      • 8.2.4.5.2 Spain Machine Learning Chip Market by Chip Type
      • 8.2.4.5.3 Spain Machine Learning Chip Market by Industry Vertical
    • 8.2.4.6 Italy Machine Learning Chip Market
      • 8.2.4.6.1 Italy Machine Learning Chip Market by Technology
      • 8.2.4.6.2 Italy Machine Learning Chip Market by Chip Type
      • 8.2.4.6.3 Italy Machine Learning Chip Market by Industry Vertical
    • 8.2.4.7 Rest of Europe Machine Learning Chip Market
      • 8.2.4.7.1 Rest of Europe Machine Learning Chip Market by Technology
      • 8.2.4.7.2 Rest of Europe Machine Learning Chip Market by Chip Type
      • 8.2.4.7.3 Rest of Europe Machine Learning Chip Market by Industry Vertical
• 8.3 Asia Pacific Machine Learning Chip Market
  • 8.3.1 Asia Pacific Machine Learning Chip Market by Technology
    • 8.3.1.1 Asia Pacific System-on-Chip (SoC) Market by Country
    • 8.3.1.2 Asia Pacific System-in-Package Market by Country
    • 8.3.1.3 Asia Pacific Multi-chip Module Market by Country
    • 8.3.1.4 Asia Pacific Other Technology Market by Country
  • 8.3.2 Asia Pacific Machine Learning Chip Market by Chip Type
    • 8.3.2.1 Asia Pacific GPU Chip Market by Country
    • 8.3.2.2 Asia Pacific ASIC Chip Market by Country
    • 8.3.2.3 Asia Pacific CPU Chip Market by Country
    • 8.3.2.4 Asia Pacific FPGA Chip Market by Country
    • 8.3.2.5 Asia Pacific Flash-Based Chip Market by Country
    • 8.3.2.6 Asia Pacific Neuromorphic Chip Market by Country
    • 8.3.2.7 Asia Pacific Others Market by Country
  • 8.3.3 Asia Pacific Machine Learning Chip Market by Industry Vertical
    • 8.3.3.1 Asia Pacific IT & Telecom Market by Country
    • 8.3.3.2 Asia Pacific Consumer Electronics Market by Country
    • 8.3.3.3 Asia Pacific BFSI Market by Country
    • 8.3.3.4 Asia Pacific Retail Market by Country
    • 8.3.3.5 Asia Pacific Automotive Market by Country
    • 8.3.3.6 Asia Pacific Healthcare Market by Country
    • 8.3.3.7 Asia Pacific Media & Advertising Market by Country
    • 8.3.3.8 Asia Pacific Robotics Industry Market by Country
    • 8.3.3.9 Asia Pacific Others Market by Country
  • 8.3.4 Asia Pacific Machine Learning Chip Market by Country
    • 8.3.4.1 China Machine Learning Chip Market
      • 8.3.4.1.1 China Machine Learning Chip Market by Technology
      • 8.3.4.1.2 China Machine Learning Chip Market by Chip Type
      • 8.3.4.1.3 China Machine Learning Chip Market by Industry Vertical
    • 8.3.4.2 Japan Machine Learning Chip Market
      • 8.3.4.2.1 Japan Machine Learning Chip Market by Technology
      • 8.3.4.2.2 Japan Machine Learning Chip Market by Chip Type
      • 8.3.4.2.3 Japan Machine Learning Chip Market by Industry Vertical
    • 8.3.4.3 India Machine Learning Chip Market
      • 8.3.4.3.1 India Machine Learning Chip Market by Technology
      • 8.3.4.3.2 India Machine Learning Chip Market by Chip Type
      • 8.3.4.3.3 India Machine Learning Chip Market by Industry Vertical
    • 8.3.4.4 South Korea Machine Learning Chip Market
      • 8.3.4.4.1 South Korea Machine Learning Chip Market by Technology
      • 8.3.4.4.2 South Korea Machine Learning Chip Market by Chip Type
      • 8.3.4.4.3 South Korea Machine Learning Chip Market by Industry Vertical
    • 8.3.4.5 Australia Machine Learning Chip Market
      • 8.3.4.5.1 Australia Machine Learning Chip Market by Technology
      • 8.3.4.5.2 Australia Machine Learning Chip Market by Chip Type
      • 8.3.4.5.3 Australia Machine Learning Chip Market by Industry Vertical
    • 8.3.4.6 Malaysia Machine Learning Chip Market
      • 8.3.4.6.1 Malaysia Machine Learning Chip Market by Technology
      • 8.3.4.6.2 Malaysia Machine Learning Chip Market by Chip Type
      • 8.3.4.6.3 Malaysia Machine Learning Chip Market by Industry Vertical
    • 8.3.4.7 Rest of Asia Pacific Machine Learning Chip Market
      • 8.3.4.7.1 Rest of Asia Pacific Machine Learning Chip Market by Technology
      • 8.3.4.7.2 Rest of Asia Pacific Machine Learning Chip Market by Chip Type
      • 8.3.4.7.3 Rest of Asia Pacific Machine Learning Chip Market by Industry Vertical
• 8.4 LAMEA Machine Learning Chip Market
  • 8.4.1 LAMEA Machine Learning Chip Market by Technology
    • 8.4.1.1 LAMEA System-on-Chip (SoC) Market by Country
    • 8.4.1.2 LAMEA System-in-Package Market by Country
    • 8.4.1.3 LAMEA Multi-chip Module Market by Country
    • 8.4.1.4 LAMEA Other Technology Market by Country
  • 8.4.2 LAMEA Machine Learning Chip Market by Chip Type
    • 8.4.2.1 LAMEA GPU Chip Market by Country
    • 8.4.2.2 LAMEA ASIC Chip Market by Country
    • 8.4.2.3 LAMEA CPU Chip Market by Country
    • 8.4.2.4 LAMEA FPGA Chip Market by Country
    • 8.4.2.5 LAMEA Flash-Based Chip Market by Country
    • 8.4.2.6 LAMEA Neuromorphic Chip Market by Country
    • 8.4.2.7 LAMEA Others Market by Country
  • 8.4.3 LAMEA Machine Learning Chip Market by Industry Vertical
    • 8.4.3.1 LAMEA IT & Telecom Market by Country
    • 8.4.3.2 LAMEA Consumer Electronics Market by Country
    • 8.4.3.3 LAMEA BFSI Market by Country
    • 8.4.3.4 LAMEA Retail Market by Country
    • 8.4.3.5 LAMEA Automotive Market by Country
    • 8.4.3.6 LAMEA Healthcare Market by Country
    • 8.4.3.7 LAMEA Media & Advertising Market by Country
    • 8.4.3.8 LAMEA Robotics Industry Market by Country
    • 8.4.3.9 LAMEA Others Market by Country
  • 8.4.4 LAMEA Machine Learning Chip Market by Country
    • 8.4.4.1 Brazil Machine Learning Chip Market
      • 8.4.4.1.1 Brazil Machine Learning Chip Market by Technology
      • 8.4.4.1.2 Brazil Machine Learning Chip Market by Chip Type
      • 8.4.4.1.3 Brazil Machine Learning Chip Market by Industry Vertical
    • 8.4.4.2 Argentina Machine Learning Chip Market
      • 8.4.4.2.1 Argentina Machine Learning Chip Market by Technology
      • 8.4.4.2.2 Argentina Machine Learning Chip Market by Chip Type
      • 8.4.4.2.3 Argentina Machine Learning Chip Market by Industry Vertical
    • 8.4.4.3 UAE Machine Learning Chip Market
      • 8.4.4.3.1 UAE Machine Learning Chip Market by Technology
      • 8.4.4.3.2 UAE Machine Learning Chip Market by Chip Type
      • 8.4.4.3.3 UAE Machine Learning Chip Market by Industry Vertical
    • 8.4.4.4 Saudi Arabia Machine Learning Chip Market
      • 8.4.4.4.1 Saudi Arabia Machine Learning Chip Market by Technology
      • 8.4.4.4.2 Saudi Arabia Machine Learning Chip Market by Chip Type
      • 8.4.4.4.3 Saudi Arabia Machine Learning Chip Market by Industry Vertical
    • 8.4.4.5 South Africa Machine Learning Chip Market
      • 8.4.4.5.1 South Africa Machine Learning Chip Market by Technology
      • 8.4.4.5.2 South Africa Machine Learning Chip Market by Chip Type
      • 8.4.4.5.3 South Africa Machine Learning Chip Market by Industry Vertical
    • 8.4.4.6 Nigeria Machine Learning Chip Market
      • 8.4.4.6.1 Nigeria Machine Learning Chip Market by Technology
      • 8.4.4.6.2 Nigeria Machine Learning Chip Market by Chip Type
      • 8.4.4.6.3 Nigeria Machine Learning Chip Market by Industry Vertical
    • 8.4.4.7 Rest of LAMEA Machine Learning Chip Market
      • 8.4.4.7.1 Rest of LAMEA Machine Learning Chip Market by Technology
      • 8.4.4.7.2 Rest of LAMEA Machine Learning Chip Market by Chip Type
      • 8.4.4.7.3 Rest of LAMEA Machine Learning Chip Market by Industry Vertical

Chapter 9. Company Profiles

• 9.1 Advanced Micro Devices, Inc.
  • 9.1.1 Company Overview
  • 9.1.2 Financial Analysis
  • 9.1.3 Segmental and Regional Analysis
  • 9.1.4 Research & Development Expenses
  • 9.1.5 Recent strategies and developments:
    • 9.1.5.1 Product Launches and Product Expansions:
    • 9.1.5.2 Acquisition and Mergers:
  • 9.1.6 SWOT Analysis
• 9.2 Samsung Electronics Co., Ltd. (Samsung Group)
  • 9.2.1 Company Overview
  • 9.2.2 Financial Analysis
  • 9.2.3 Segmental and Regional Analysis
  • 9.2.4 Research & Development Expenses
  • 9.2.5 Recent strategies and developments:
    • 9.2.5.1 Partnerships, Collaborations, and Agreements:
    • 9.2.5.2 Product Launches and Product Expansions:
  • 9.2.6 SWOT Analysis
• 9.3 NXP Semiconductors N.V.
  • 9.3.1 Company Overview
  • 9.3.2 Financial Analysis
  • 9.3.3 Regional Analysis
  • 9.3.4 Research & Development Expenses
  • 9.3.5 Recent strategies and developments:
    • 9.3.5.1 Partnerships, Collaborations, and Agreements:
    • 9.3.5.2 Product Launches and Product Expansions:
  • 9.3.6 SWOT Analysis
• 9.4 Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • 9.4.1 Company Overview
  • 9.4.2 Financial Analysis
  • 9.4.3 Segmental and Regional Analysis
  • 9.4.4 Research & Development Expense
  • 9.4.5 Recent strategies and developments:
    • 9.4.5.1 Product Launches and Product Expansions:
  • 9.4.6 SWOT Analysis
• 9.5 NVIDIA Corporation
  • 9.5.1 Company Overview
  • 9.5.2 Financial Analysis
  • 9.5.3 Segmental and Regional Analysis
  • 9.5.4 Research & Development Expenses
  • 9.5.5 Recent strategies and developments:
    • 9.5.5.1 Partnerships, Collaborations & Agreements:
  • 9.5.6 SWOT Analysis
• 9.6 Intel Corporation
  • 9.6.1 Company Overview
  • 9.6.2 Financial Analysis
  • 9.6.3 Segmental and Regional Analysis
  • 9.6.4 Research & Development Expenses
  • 9.6.5 Recent strategies and developments:
    • 9.6.5.1 Partnerships, Collaborations, and Agreements:
    • 9.6.5.2 Product Launches and Product Expansions:
  • 9.6.6 SWOT Analysis
• 9.7 Infineon Technologies AG
  • 9.7.1 Company Overview
  • 9.7.2 Financial Analysis
  • 9.7.3 Segmental and Regional Analysis
  • 9.7.4 Research & Development Expense
  • 9.7.5 Recent strategies and developments:
    • 9.7.5.1 Product Launches and Product Expansions:
  • 9.7.6 SWOT Analysis
• 9.8 IBM Corporation
  • 9.8.1 Company Overview
  • 9.8.2 Financial Analysis
  • 9.8.3 Regional & Segmental Analysis
  • 9.8.4 Research & Development Expenses
  • 9.8.5 Recent strategies and developments:
    • 9.8.5.1 Product Launches and Product Expansions:
  • 9.8.6 SWOT Analysis
• 9.9 Amazon Web Services, Inc. (Amazon.com, Inc.)
  • 9.9.1 Company Overview
  • 9.9.2 Financial Analysis
  • 9.9.3 Segmental Analysis
  • 9.9.4 Recent strategies and developments:
    • 9.9.4.1 Partnerships, Collaborations, and Agreements:
  • 9.9.5 SWOT Analysis
• 9.10. Cerebras Systems Inc.
  • 9.10.1 Company Overview
  • 9.10.2 Recent strategies and developments:
    • 9.10.2.1 Product Launches and Product Expansions:

Chapter 10. Winning Imperatives for Machine Learning Chip Market