TPU(Tensor Processing Unit) 시장 규모, 점유율, 동향 분석 리포트 : 용도별, 도입 모드별, 최종 용도별, 지역별, 부문 예측(2024-2030년)

Tensor Processing Unit Market Size & Trends:

The global tensor processing unit market size was estimated at USD 2,848.9 Million in 2023 and is projected to grow at a CAGR of 31.9% from 2024 to 2030. The market is expanding rapidly due to the growing demand for artificial intelligence (AI) and machine learning (ML) across various industries. TPUs are specifically designed to accelerate deep learning tasks, making them vital for AI-driven applications. In sectors like healthcare, finance, and automotive, TPUs process large datasets efficiently.

Healthcare uses TPUs for AI in medical imaging and diagnostics, while the finance sector employs them for fraud detection and algorithmic trading. Cloud-based TPU adoption is also increasing, particularly through Google Cloud, where businesses can access scalable AI resources. This cloud trend allows companies to harness the power of TPUs without the need for expensive on-premises infrastructure. As AI adoption grows, so does the demand for TPUs to handle increasingly complex tasks.

The TPU market is also growing due to its role in enabling edge computing and IoT (Internet of Things) applications. TPUs are becoming more integrated into edge devices, enabling AI models to run closer to data sources, reducing latency, and improving efficiency. Industries such as manufacturing and logistics use TPUs in smart factories and for real-time decision-making in automated systems. The automotive sector, particularly in autonomous driving, is utilizing TPUs to handle the vast amounts of data processed by AI in real time. TPUs are also gaining ground in telecommunications, where they are used to enhance network optimization and predictive maintenance. As edge computing grows, TPU deployment in smart cities and connected infrastructure is expected to rise. This trend will further accelerate the TPU market's growth over the next decade.

The market is also poised to benefit from open-source AI frameworks and the development of custom AI hardware. With the growing availability of TPU-compatible tools and libraries, more developers and enterprises are integrating TPUs into their AI workflows. Open-source platforms such as TensorFlow, optimized for TPUs, make it easier for companies to build and scale AI models. This has led to an increase in TPU adoption across startups and research institutions that need high performance without heavy infrastructure investments. Collaborations between AI hardware companies and tech giants are further pushingTensor Processing Unit (TPU) adoption by making it more accessible. For instance, partnerships between cloud providers and AI developers have simplified the deployment of TPU-powered AI applications. These advancements will continue to support the widespread use of TPUs, positioning them as a key player in the future of AI hardware.

Global Tensor Processing Unit Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global tensor processing unit market report based onapplication, deployment mode, end-use, and region:

• Application Outlook (Revenue, USD Million, 2018 - 2030)
• Artificial Intelligence and Machine Learning
• High-Performance Computing
• Data Analytics
• Autonomous Systems
• Deployment Mode Outlook (Revenue, USD Million, 2018 - 2030)
• Cloud-based
• On-premises
• End-use Outlook (Revenue, USD Million, 2018 - 2030)
• IT & Telecom
• Healthcare
• Automotive
• Finance and Banking
• Retail and E-commerce
• Others
• Regional Outlook (Revenue, USD Million, 2018 - 2030)
• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • UK
  • Germany
  • France
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
• Latin America
  • Brazil
• Middle East and Africa (MEA)
  • KSA
  • UAE
  • South Africa

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Market Definition
• 1.3. Research Methodology
  • 1.3.1. Information Procurement
  • 1.3.2. Information or Data Analysis
  • 1.3.3. Market Formulation & Data Visualization
  • 1.3.4. Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
• 2.3. Competitive Insights

Chapter 3. Tensor Processing Unit market Variables, Trends, & Scope

• 3.1. Market Introduction/Lineage Outlook
• 3.2. Market Dynamics
  • 3.2.1. Market Driver Analysis
  • 3.2.2. Market Restraint Analysis
  • 3.2.3. Industry Challenge
• 3.3. Tensor Processing Unit market Analysis Tools
  • 3.3.1. Porter's Analysis
  • 3.3.2. PESTEL Analysis

Chapter 4. Tensor Processing Unit market: Application Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. Tensor Processing Unit market: Application Movement Analysis, USD Million, 2023 & 2030
• 4.3. Artificial Intelligence and Machine Learning
  • 4.3.1. Artificial Intelligence and Machine Learning Tensor Processing Unit market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 4.4. High-Performance Computing
  • 4.4.1. High-Performance Computing Tensor Processing Unit market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 4.5. Data Analytics
  • 4.5.1. Data Analytics Tensor Processing Unit market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 4.6. Autonomous Systems
  • 4.6.1. Autonomous Systems Tensor Processing Unit market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. Tensor Processing Unit market: Deployment Mode Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. Tensor Processing Unit market: Deployment Mode Movement Analysis, USD Million, 2023 & 2030
• 5.3. Cloud-Based
  • 5.3.1. Cloud-Based Tensor Processing Unit market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.4. On-Premises
  • 5.4.1. On-Premises Tensor Processing Unit market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 6. Tensor Processing Unit market: End Use Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. Tensor Processing Unit market: End Use Movement Analysis, USD Million, 2023 & 2030
• 6.3. IT & Telecom
  • 6.3.1. IT & Telecom Tensor Processing Unit market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.4. Healthcare
  • 6.4.1. Healthcare Tensor Processing Unit market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.5. Automotive
  • 6.5.1. Automotive Tensor Processing Unit market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.6. Finance and Banking
  • 6.6.1. Finance and Banking Tensor Processing Unit market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.7. Retail and E-commerce
  • 6.7.1. Retail and E-commerce Tensor Processing Unit market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.8. Others
  • 6.8.1. Others Tensor Processing Unit market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 7. Tensor Processing Unit market: Regional Estimates & Trend Analysis

• 7.1. Tensor Processing Unit market Share, By Region, 2023 & 2030, USD Million
• 7.2. North America
  • 7.2.1. North America Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.2.2. U.S.
    • 7.2.2.1. U.S. Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.2.3. Canada
    • 7.2.3.1. Canada Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.2.4. Mexico
    • 7.2.4.1. Mexico Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.3. Europe
  • 7.3.1. Europe Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.2. UK
    • 7.3.2.1. UK Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.3. Germany
    • 7.3.3.1. Germany Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.4. France
    • 7.3.4.1. France Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.4. Asia Pacific
  • 7.4.1. Asia Pacific Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.2. China
    • 7.4.2.1. China Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.3. Japan
    • 7.4.3.1. Japan Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.4. India
    • 7.4.4.1. India Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.5. South Korea
    • 7.4.5.1. South Korea Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.6. Australia
    • 7.4.6.1. Australia Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.5. Latin America
  • 7.5.1. Latin America Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.5.2. Brazil
    • 7.5.2.1. Brazil Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.6. Middle East and Africa
  • 7.6.1. Middle East and Africa Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.6.2. KSA
    • 7.6.2.1. KSA Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.6.3. UAE
    • 7.6.3.1. UAE Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.6.4. South Africa
    • 7.6.4.1. South Africa Tensor Processing Unit market Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 8. Competitive Landscape

• 8.1. Company Categorization
• 8.2. Company Market Positioning
• 8.3. Participant's Overview
• 8.4. Financial Performance
• 8.5. Application Benchmarking
• 8.6. Company Heat Map Analysis
• 8.7. Strategy Mapping
• 8.8. Company Profiles/Listing
  • 8.8.1. Amazon Web Services, Inc.
    • 8.8.1.1. Participant's Overview
    • 8.8.1.2. Financial Performance
    • 8.8.1.3. Product Benchmarking
    • 8.8.1.4. Recent Developments
  • 8.8.2. Google Inc.
    • 8.8.2.1. Participant's Overview
    • 8.8.2.2. Financial Performance
    • 8.8.2.3. Product Benchmarking
    • 8.8.2.4. Recent Developments
  • 8.8.3. Graphcore
    • 8.8.3.1. Participant's Overview
    • 8.8.3.2. Financial Performance
    • 8.8.3.3. Product Benchmarking
    • 8.8.3.4. Recent Developments
  • 8.8.4. IBM Corporation
    • 8.8.4.1. Participant's Overview
    • 8.8.4.2. Financial Performance
    • 8.8.4.3. Product Benchmarking
    • 8.8.4.4. Recent Developments
  • 8.8.5. Intel Corporation
    • 8.8.5.1. Participant's Overview
    • 8.8.5.2. Financial Performance
    • 8.8.5.3. Product Benchmarking
    • 8.8.5.4. Recent Developments
  • 8.8.6. Micron Technology
    • 8.8.6.1. Participant's Overview
    • 8.8.6.2. Financial Performance
    • 8.8.6.3. Product Benchmarking
    • 8.8.6.4. Recent Developments
  • 8.8.7. Microsoft Corporation
    • 8.8.7.1. Participant's Overview
    • 8.8.7.2. Financial Performance
    • 8.8.7.3. Product Benchmarking
    • 8.8.7.4. Recent Developments
  • 8.8.8. NVIDIA Corporation
    • 8.8.8.1. Participant's Overview
    • 8.8.8.2. Financial Performance
    • 8.8.8.3. Product Benchmarking
    • 8.8.8.4. Recent Developments
  • 8.8.9. Qualcomm Technologies
    • 8.8.9.1. Participant's Overview
    • 8.8.9.2. Financial Performance
    • 8.8.9.3. Product Benchmarking
    • 8.8.9.4. Recent Developments
  • 8.8.10. Xilinx Inc.
    • 8.8.10.1. Participant's Overview
    • 8.8.10.2. Financial Performance
    • 8.8.10.3. Product Benchmarking
    • 8.8.10.4. Recent Developments