Synopsis
The global Tensor Processing Unit (TPU) market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Tensor Processing Unit (TPU) in various end use industries. The expanding demands from the Deep Learning and Others, are propelling Tensor Processing Unit (TPU) market. TPU v2, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the TPU v3 segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Tensor Processing Unit (TPU) market, driven by demand from China, the second largest economy with some signs of stabilising, the Tensor Processing Unit (TPU) market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Tensor Processing Unit (TPU), with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Tensor Processing Unit (TPU) market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Tensor Processing Unit (TPU) market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Tensor Processing Unit (TPU) sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Tensor Processing Unit (TPU) covered in this report include Google Cloud and AGM Micro etc.
The global Tensor Processing Unit (TPU) market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Google Cloud
AGM Micro
Global Tensor Processing Unit (TPU) market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Tensor Processing Unit (TPU) market, Segment by Type:
TPU v2
TPU v3
Others
Global Tensor Processing Unit (TPU) market, by Application
Deep Learning
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Tensor Processing Unit (TPU) companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index
1 Market Overview of Tensor Processing Unit (TPU)
1.1 Tensor Processing Unit (TPU) Market Overview
1.1.1 Tensor Processing Unit (TPU) Product Scope
1.1.2 Tensor Processing Unit (TPU) Market Status and Outlook
1.2 Global Tensor Processing Unit (TPU) Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Tensor Processing Unit (TPU) Market Size by Region (2018-2029)
1.4 Global Tensor Processing Unit (TPU) Historic Market Size by Region (2018-2023)
1.5 Global Tensor Processing Unit (TPU) Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Tensor Processing Unit (TPU) Market Size (2018-2029)
1.6.1 North America Tensor Processing Unit (TPU) Market Size (2018-2029)
1.6.2 Europe Tensor Processing Unit (TPU) Market Size (2018-2029)
1.6.3 Asia-Pacific Tensor Processing Unit (TPU) Market Size (2018-2029)
1.6.4 Latin America Tensor Processing Unit (TPU) Market Size (2018-2029)
1.6.5 Middle East & Africa Tensor Processing Unit (TPU) Market Size (2018-2029)
2 Tensor Processing Unit (TPU) Market by Type
2.1 Introduction
2.1.1 TPU v2
2.1.2 TPU v3
2.1.3 Others
2.2 Global Tensor Processing Unit (TPU) Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Tensor Processing Unit (TPU) Historic Market Size by Type (2018-2023)
2.2.2 Global Tensor Processing Unit (TPU) Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Tensor Processing Unit (TPU) Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Tensor Processing Unit (TPU) Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Tensor Processing Unit (TPU) Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Tensor Processing Unit (TPU) Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Tensor Processing Unit (TPU) Revenue Breakdown by Type (2018-2029)
3 Tensor Processing Unit (TPU) Market Overview by Application
3.1 Introduction
3.1.1 Deep Learning
3.1.2 Others
3.2 Global Tensor Processing Unit (TPU) Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Tensor Processing Unit (TPU) Historic Market Size by Application (2018-2023)
3.2.2 Global Tensor Processing Unit (TPU) Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Tensor Processing Unit (TPU) Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Tensor Processing Unit (TPU) Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Tensor Processing Unit (TPU) Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Tensor Processing Unit (TPU) Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Tensor Processing Unit (TPU) Revenue Breakdown by Application (2018-2029)
4 Tensor Processing Unit (TPU) Competition Analysis by Players
4.1 Global Tensor Processing Unit (TPU) Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Tensor Processing Unit (TPU) as of 2022)
4.3 Date of Key Players Enter into Tensor Processing Unit (TPU) Market
4.4 Global Top Players Tensor Processing Unit (TPU) Headquarters and Area Served
4.5 Key Players Tensor Processing Unit (TPU) Product Solution and Service
4.6 Competitive Status
4.6.1 Tensor Processing Unit (TPU) Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Google Cloud
5.1.1 Google Cloud Profile
5.1.2 Google Cloud Main Business
5.1.3 Google Cloud Tensor Processing Unit (TPU) Products, Services and Solutions
5.1.4 Google Cloud Tensor Processing Unit (TPU) Revenue (US$ Million) & (2018-2023)
5.1.5 Google Cloud Recent Developments
5.2 AGM Micro
5.2.1 AGM Micro Profile
5.2.2 AGM Micro Main Business
5.2.3 AGM Micro Tensor Processing Unit (TPU) Products, Services and Solutions
5.2.4 AGM Micro Tensor Processing Unit (TPU) Revenue (US$ Million) & (2018-2023)
5.2.5 AGM Micro Recent Developments
6 North America
6.1 North America Tensor Processing Unit (TPU) Market Size by Country (2018-2029)
6.2 United States
6.3 Canada
7 Europe
7.1 Europe Tensor Processing Unit (TPU) Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Tensor Processing Unit (TPU) Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Tensor Processing Unit (TPU) Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Tensor Processing Unit (TPU) Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Tensor Processing Unit (TPU) Market Dynamics
11.1 Tensor Processing Unit (TPU) Industry Trends
11.2 Tensor Processing Unit (TPU) Market Drivers
11.3 Tensor Processing Unit (TPU) Market Challenges
11.4 Tensor Processing Unit (TPU) Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List