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2030 年人工智慧晶片組市場預測 - 按功能、硬體、技術、處理類型、用途、最終用戶和地區進行的全球分析
市場調查報告書
商品編碼
1339914

2030 年人工智慧晶片組市場預測 - 按功能、硬體、技術、處理類型、用途、最終用戶和地區進行的全球分析

Artificial Intelligence Chipsets Market Forecasts to 2030 - Global Analysis By Function (Inference and Training), Hardware, Technology, Processing Type, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3個工作天內

價格

據Stratistics MRC預測，2023年全球人工智慧晶片組市場規模將達到186億美元，預計到2030年將達到1238億美元，預測期內年複合成長率為31.1%。

人工智慧 (AI) 晶片是用於機器學習（包括 AI 技術）的專用矽晶片。在多個工業領域，它有助於減少或消除對人類生命的風險。隨著資料量的擴大，開發能夠有效解決數學和計算問題的系統變得越來越重要。因此，IT領域的大公司大多都專注於開發AI晶片和軟體。

普華永道（PwC）預計，2020年歐洲製造業、汽車和電子等行業預計將在工業4.0解決方案上投資1820.4億美元。

更多地採用雲端基礎的解決方案

由於IT/通訊和汽車等行業資料中心建設的擴大，對雲端基礎的人工智慧晶片組的需求預計將增加。隨著社交媒體和電子商務的普及，資料量顯著增加。晶片組滿足了機器學習驅動的更快處理的需求。由於資料量的快速增加，對高速處理器的需求不斷增加，這對市場擴張產生積極影響。

缺乏人工智慧人才

人工智慧由複雜的算法結構。公司需要具有豐富經驗和特定技能的員工來構建、營運和部署人工智慧系統。此外，將基於人工智慧的解決方案整合到當前系統中是一項具有挑戰性的任務，因為它們需要處理大量資料來模仿人類行為。此外，人工智慧和機器學習等先進技術缺乏專業資格和標準也限制了市場的成長。

量子計算的出現

量子計算技術被世界各地的企業廣泛採用來解決複雜問題和執行分析計算。量子電腦是利用人工智慧、機器學習、電腦視覺、巨量資料、AR/VR等技術實現的。它用於多種功能，包括欺詐偵測、風險管理、投資組合最佳化以及需要即時資料響應的應用程式。因此，量子計算的出現預計將推動市場成長。

人工智慧平台中的資料隱私問題

人工智慧平台通常需要訪問包含資料和個人資料的龐巨量資料庫。這引發了人們對資料安全和保護的擔憂。如果沒有得到有效保護，用於訓練人工智慧模型的資料可能會遭受未經授權的訪問、洩露和濫用。這可能是由於資訊盜竊、隱私問題和其他類型的資料濫用造成的。然而，不同司法管轄區的資料隱私法可能有所不同，這使得確保合規性和保護用戶隱私變得困難。

COVID-19 影響::

這種趨勢對市場產生了負面影響，並且可能會繼續下去。這與受影響的生產流程、供應鍊和限制人工智慧採用的新興行業有關。封鎖要求導致許多工業公司停止生產，對全球供應鏈系統產生負面影響。由於這次大流行，基於人工智慧的硬體和軟體的部署被推遲。這場危機對許多公司的打擊尤其嚴重，包括汽車和工業領域的公司。

預計記憶體領域在預測期內將是最大的

由於預測分析、機器學習、電腦視覺等檢驗、測試和培訓所需的資料積累迅速增加，預計記憶體領域將在預測期內達到峰值。因此，需要大量的記憶體用於資料存儲。高頻寬記憶體還用於獨立於計算架構的應用程式。新興企業也在研究高頻寬文件系統以提高生產力。

機器學習領域預計在預測期內年複合成長率最高。

由於對語音辨識、圖像識別和多語言聊天機器人等創新產品的投資不斷增加，機器學習行業預計在預測期內將呈現最高的年複合成長率。因此，這些解決方案需要強大的機器學習來利用多個級別的資料。

佔比最大的地區

由於大量美國科技巨頭進入該市​​場，預計北美在預測期內將佔據最大的市場佔有率。該地區的特點是人口眾多、購買力增強、持續的基礎設施投資以及政府注重將人工智慧應用引入內部。由於AI應用的快速開拓，AI晶片組市場已經成熟並充滿機遇。

複合年複合成長率最高的地區：

由於人工智慧技術投資的增加，預計亞太地區在預測期內將保持最高的年複合成長率。製造業採用尖端的現代生產技術，有助於鋁切屑的使用。語音命令只是人工智慧晶片組擴大應用於筆記型電腦、平板電腦和智慧手機等消費電子產品的眾多功能之一。這導致該地區對人工智慧晶片組的接受度很高。

免費客製化服務：

訂閱此報告的客戶將收到以下免費客製化選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（注：基於可行性檢查）
  • 競爭標杆管理
    • 根據產品系列、地域分佈和戰略聯盟對主要企業進行基準測試

目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 利益相關者
  • 調查範圍
  • 調查方法
    • 資料挖掘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 假設

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 用途分析
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球人工智慧晶片組市場：按特徵

  • 推理
  • 訓練

第6章 全球人工智慧晶片組市場：按硬體分類

  • 記憶
  • 通訊網路
  • 處理器
    • 現場可程式化邏輯閘陣列 (FPGA)
    • 中央處理器（CPU）
    • 圖形處理單元（GPU）
    • 用途積體電路(ASIC)
  • 其他硬體

第7章 全球人工智慧晶片組市場：按技術分類

  • 自然語言處理
  • 電腦視覺
  • 預測分析
  • 上下文感知計算
  • 機器學習
    • 無監督學習
    • 監督學習
    • 深度學習
    • 強化學習
  • 其他技術

第8章 全球人工智慧晶片組市場：按處理類型

  • 邊緣計算
  • 雲端運算

第9章 全球人工智慧晶片組市場：按用途

  • 車
  • 智慧型手機
  • 醫學圖像處理
  • 機器人技術
  • 保安系統
  • 其他用途

第10章 全球人工智慧晶片組市場：按最終用戶分類

  • 農業
  • 網路安全
  • 行銷
  • 金融科技
  • 車
  • 人力資源
  • 衛生保健
  • 零售
  • 政府
  • 司法
  • 製造業
  • 其他最終用戶

第11章全球人工智慧晶片組市場：按地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳大利亞
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第12章進展

  • 契約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章公司簡介

  • Google Inc.
  • NVIDIA Corporation
  • Intel Corporation
  • Graphcore Ltd
  • Advanced Micro Devices Inc.
  • Samsung Electronics Co. Ltd
  • Huawei Technologies Co.
  • Xilinx Inc.
  • Baidu Inc.
  • Fujitsu Limited
  • Micron Technology Inc.
  • Qualcomm Technologies, Inc.
  • Microsoft Corporation
  • Amazon Web Services
  • Apple Inc.
  • GreenWaves Technologies
  • XMOS Limited
  • General Vision, Inc.
  • Kalray Corporation
  • MediaTek Inc
Product Code: SMRC23622

According to Stratistics MRC, the Global Artificial Intelligence Chipset Market is accounted for $18.6 billion in 2023 and is expected to reach $123.8 billion by 2030 growing at a CAGR of 31.1% during the forecast period. Artificial intelligence (AI) chips are specialised silicon chips used for machine learning that contain AI technology. In several industry sectors, it aids in reducing or eliminating the risk to human life. As the amount of data has expanded, it has become increasingly important to develop systems that are more effective at addressing mathematical and computational issues. As a result, most of the big businesses in the IT sector concentrate on creating AI chips and software.

According to PricewaterhouseCoopers (PwC), European industries such as manufacturing, automotive, electronics, and others are expected to invest USD 182.04 billion in the Industry 4.0 solutions in 2020.

Market Dynamics:

Driver:

Growing adoption of cloud-based solutions

The expansion of data centre construction in industries such as IT & telecom, automotive, etc. is projected to increase demand for cloud-based Al chipsets. Data volume has greatly increased as a result of social media and e-commerce becoming more widely used. The chipset takes care of the need for quicker processing caused by machine learning that is activated. The need for high-speed processors has increased as a result of the data volume's quick growth, which is favorably affecting the market's expansion.

Restraint:

Inadequate AI workforce

AI is made up of complex algorithms. Businesses need a staff with significant experience and specific skill sets in order to create, operate, and deploy AI systems. Additionally, integrating AI-based solutions into the current systems is a difficult operation that necessitates processing enormous amounts of data to mimic human behaviour. Furthermore, the lack of professional certifications and standards in sophisticated technologies such as AI, ML, and others is limiting the growth of the market.

Opportunity:

Emergence of Quantum Computing

Quantum computing technology is widely adopted by enterprises globally, to solve complex problems, and perform analytical calculations. Quantum computers are enabled with technologies such as artificial intelligence, machine learning, computer vision, big data, AR/VR, and others. It is used in various functions such as fraud detection, risk management, portfolio optimization, and applications where instant data response is required. Thus, the emergence of quantum computing is expected to drive the growth of the market.

Threat:

Data privacy concerns in AI platforms

Access to vast databases containing sensitive and private data is frequently needed for AI platforms. Concerns concerning data security and protection are raised by this. The data used to train AI models may be exposed to unauthorised access, breaches, or misuse if it is not effectively protected. Identity theft, privacy issues, and other types of data abuse may result from this. However, different jurisdictions may have a different data privacy law, which makes it difficult to guarantee compliance and safeguard user privacy.

COVID-19 Impact:

The epidemic has had a negative effect on the market and will likely continue to do so in the years to come. This is linked to the affected production processes, supply chains, and emerging industries' limited adoption of AI. The lockdown requirements caused a number of industrial companies to halt their output, which negatively impacted the supply chain system globally. The deployment of hardware and software based on AI has been delayed as a result of this pandemic. The crisis has been particularly hard on a number of businesses, including the automotive and industrial sectors.

The memory segment is expected to be the largest during the forecast period

The memory segment is expected to be the largest during the forecast period, owing to surge in accumulation of data which requires for predictive analytics, machine learning, and computer vision among others to validate, test and train. Thus, a large amount of data storage memory is required. High bandwidth memory is also being used for applications that are not dependent on the computing architecture. Less start-up are also investigating high bandwidth file systems to improve productivity.

The machine learning segment is expected to have the highest CAGR during the forecast period

The machine learning segment is expected to have the highest CAGR during the forecast period, due to increasing investment in innovative products such as voice recognition, image recognition, and multiple language chat bots among others. Thus, in order to utilise numerous levels of data, these solutions need powerful machine learning.

Region with largest share:

North America is projected to hold the largest market share during the forecast period, owing to a large number of U.S. based tech giants in the market. The region is distinguished by a sizable population with increased purchasing power, ongoing infrastructure investments, and governments putting more emphasis on producing AI applications internally. The market for AI chipsets is presented with a chance due to the rapid development of AI applications.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period, due to the rising investments in Al technology. The use of Al chips has been aided by the manufacturing sector's adoption of cutting-edge and contemporary production techniques. Voice commands are only one of the many features that AI chipsets are increasingly being used for in consumer electronics like laptops, tablets, and smartphones. This has led to a high level of acceptance of AI chipsets in the region.

Key players in the market:

Some of the key players in Artificial Intelligence Chipset market include: Google Inc., NVIDIA Corporation, Intel Corporation, Graphcore Ltd, Advanced Micro Devices Inc., Samsung Electronics Co. Ltd, Huawei Technologies Co., Xilinx Inc., Baidu Inc., Fujitsu Limited, Micron Technology Inc., Qualcomm Technologies, Inc., Microsoft Corporation, Amazon Web Services, Apple Inc., GreenWaves Technologies, XMOS Limited, General Vision, Inc., Kalray Corporation and MediaTek Inc.

Key Developments:

  • In April 2023, Google announced the supercomputers it uses to train its AI model are 1.7 times faster than its competition. The company has incorporated the Tensor Processing Unit into the computer, enhancing performance.
  • In August 2022, Qualcomm Technologies, Inc. announced that its Snapdragon 8+ Gen 1 Platform powered Samsung Electronics Co., Ltd.'s cutting-edge foldable smartphones like the Samsung Galaxy Z Fold4 and Galaxy Z Flip4.
  • In February 2022, Intel launched XeonR., which is a new dual-track roadmap of Performance-core and Efficient-core based products, moving from two optimized platforms into one common, industry-defining platform.

Functions Covered:

  • Inference
  • Training

Hardwares Covered:

  • Memory
  • Network
  • Processor
  • Other Hardwares

Technologies Covered:

  • Natural Language Processing
  • Computer Vision
  • Predictive Analysis
  • Context-Aware Computing
  • Machine Learning
  • Other Technologies

Processing Types Covered:

  • Edge Computing
  • Cloud Computing

Applications Covered:

  • Automobile
  • Smartphones
  • Medical Imaging
  • Robotics
  • Security Systems
  • Other Applications

End Users Covered:

  • Agriculture
  • Cybersecurity
  • Marketing
  • Fintech
  • Automotive
  • Human Resources
  • Healthcare
  • Retail
  • Government
  • Law
  • Manufacturing
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Artificial Intelligence Chipsets Market, By Function

  • 5.1 Introduction
  • 5.2 Inference
  • 5.3 Training

6 Global Artificial Intelligence Chipsets Market, By Hardware

  • 6.1 Introduction
  • 6.2 Memory
  • 6.3 Network
  • 6.4 Processor
    • 6.4.1 Field Programmable Gate Array (FPGA)
    • 6.4.2 Central Processing Unit (CPU)
    • 6.4.3 Graphic Processing Unit (GPU)
    • 6.4.4 Application-Specific Integrated Circuit (ASIC)
  • 6.5 Other Hardwares

7 Global Artificial Intelligence Chipsets Market, By Technology

  • 7.1 Introduction
  • 7.2 Natural Language Processing
  • 7.3 Computer Vision
  • 7.4 Predictive Analysis
  • 7.5 Context-Aware Computing
  • 7.6 Machine Learning
    • 7.6.1 Unsupervised Learning
    • 7.6.2 Supervised Learning
    • 7.6.3 Deep Learning
    • 7.6.4 Reinforcement Learning
  • 7.7 Other Technologies

8 Global Artificial Intelligence Chipsets Market, By Processing Type

  • 8.1 Introduction
  • 8.2 Edge Computing
  • 8.3 Cloud Computing

9 Global Artificial Intelligence Chipsets Market, By Application

  • 9.1 Introduction
  • 9.2 Automobile
  • 9.3 Smartphones
  • 9.4 Medical Imaging
  • 9.5 Robotics
  • 9.6 Security Systems
  • 9.7 Other Applications

10 Global Artificial Intelligence Chipsets Market, By End User

  • 10.1 Introduction
  • 10.2 Agriculture
  • 10.3 Cybersecurity
  • 10.4 Marketing
  • 10.5 Fintech
  • 10.6 Automotive
  • 10.7 Human Resources
  • 10.8 Healthcare
  • 10.9 Retail
  • 10.10 Government
  • 10.11 Law
  • 10.12 Manufacturing
  • 10.13 Other End Users

11 Global Artificial Intelligence Chipsets Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Google Inc.
  • 13.2 NVIDIA Corporation
  • 13.3 Intel Corporation
  • 13.4 Graphcore Ltd
  • 13.5 Advanced Micro Devices Inc.
  • 13.6 Samsung Electronics Co. Ltd
  • 13.7 Huawei Technologies Co.
  • 13.8 Xilinx Inc.
  • 13.9 Baidu Inc.
  • 13.10 Fujitsu Limited
  • 13.11 Micron Technology Inc.
  • 13.12 Qualcomm Technologies, Inc.
  • 13.13 Microsoft Corporation
  • 13.14 Amazon Web Services
  • 13.15 Apple Inc.
  • 13.16 GreenWaves Technologies
  • 13.17 XMOS Limited
  • 13.18 General Vision, Inc.
  • 13.19 Kalray Corporation
  • 13.20 MediaTek Inc

List of Tables

  • Table 1 Global Artificial Intelligence Chipsets Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Artificial Intelligence Chipsets Market Outlook, By Function (2021-2030) ($MN)
  • Table 3 Global Artificial Intelligence Chipsets Market Outlook, By Inference (2021-2030) ($MN)
  • Table 4 Global Artificial Intelligence Chipsets Market Outlook, By Training (2021-2030) ($MN)
  • Table 5 Global Artificial Intelligence Chipsets Market Outlook, By Hardware (2021-2030) ($MN)
  • Table 6 Global Artificial Intelligence Chipsets Market Outlook, By Memory (2021-2030) ($MN)
  • Table 7 Global Artificial Intelligence Chipsets Market Outlook, By Network (2021-2030) ($MN)
  • Table 8 Global Artificial Intelligence Chipsets Market Outlook, By Processor (2021-2030) ($MN)
  • Table 9 Global Artificial Intelligence Chipsets Market Outlook, By Field Programmable Gate Array (FPGA) (2021-2030) ($MN)
  • Table 10 Global Artificial Intelligence Chipsets Market Outlook, By Central Processing Unit (CPU) (2021-2030) ($MN)
  • Table 11 Global Artificial Intelligence Chipsets Market Outlook, By Graphic Processing Unit (GPU) (2021-2030) ($MN)
  • Table 12 Global Artificial Intelligence Chipsets Market Outlook, By Application-Specific Integrated Circuit (ASIC) (2021-2030) ($MN)
  • Table 13 Global Artificial Intelligence Chipsets Market Outlook, By Other Hardwares (2021-2030) ($MN)
  • Table 14 Global Artificial Intelligence Chipsets Market Outlook, By Technology (2021-2030) ($MN)
  • Table 15 Global Artificial Intelligence Chipsets Market Outlook, By Natural Language Processing (2021-2030) ($MN)
  • Table 16 Global Artificial Intelligence Chipsets Market Outlook, By Computer Vision (2021-2030) ($MN)
  • Table 17 Global Artificial Intelligence Chipsets Market Outlook, By Predictive Analysis (2021-2030) ($MN)
  • Table 18 Global Artificial Intelligence Chipsets Market Outlook, By Context-Aware Computing (2021-2030) ($MN)
  • Table 19 Global Artificial Intelligence Chipsets Market Outlook, By Machine Learning (2021-2030) ($MN)
  • Table 20 Global Artificial Intelligence Chipsets Market Outlook, By Unsupervised Learning (2021-2030) ($MN)
  • Table 21 Global Artificial Intelligence Chipsets Market Outlook, By Supervised Learning (2021-2030) ($MN)
  • Table 22 Global Artificial Intelligence Chipsets Market Outlook, By Deep Learning (2021-2030) ($MN)
  • Table 23 Global Artificial Intelligence Chipsets Market Outlook, By Reinforcement Learning (2021-2030) ($MN)
  • Table 24 Global Artificial Intelligence Chipsets Market Outlook, By Other Technologies (2021-2030) ($MN)
  • Table 25 Global Artificial Intelligence Chipsets Market Outlook, By Processing Type (2021-2030) ($MN)
  • Table 26 Global Artificial Intelligence Chipsets Market Outlook, By Edge Computing (2021-2030) ($MN)
  • Table 27 Global Artificial Intelligence Chipsets Market Outlook, By Cloud Computing (2021-2030) ($MN)
  • Table 28 Global Artificial Intelligence Chipsets Market Outlook, By Application (2021-2030) ($MN)
  • Table 29 Global Artificial Intelligence Chipsets Market Outlook, By Automobile (2021-2030) ($MN)
  • Table 30 Global Artificial Intelligence Chipsets Market Outlook, By Smartphones (2021-2030) ($MN)
  • Table 31 Global Artificial Intelligence Chipsets Market Outlook, By Medical Imaging (2021-2030) ($MN)
  • Table 32 Global Artificial Intelligence Chipsets Market Outlook, By Robotics (2021-2030) ($MN)
  • Table 33 Global Artificial Intelligence Chipsets Market Outlook, By Security Systems (2021-2030) ($MN)
  • Table 34 Global Artificial Intelligence Chipsets Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 35 Global Artificial Intelligence Chipsets Market Outlook, By End User (2021-2030) ($MN)
  • Table 36 Global Artificial Intelligence Chipsets Market Outlook, By Agriculture (2021-2030) ($MN)
  • Table 37 Global Artificial Intelligence Chipsets Market Outlook, By Cybersecurity (2021-2030) ($MN)
  • Table 38 Global Artificial Intelligence Chipsets Market Outlook, By Marketing (2021-2030) ($MN)
  • Table 39 Global Artificial Intelligence Chipsets Market Outlook, By Fintech (2021-2030) ($MN)
  • Table 40 Global Artificial Intelligence Chipsets Market Outlook, By Automotive (2021-2030) ($MN)
  • Table 41 Global Artificial Intelligence Chipsets Market Outlook, By Human Resources (2021-2030) ($MN)
  • Table 42 Global Artificial Intelligence Chipsets Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 43 Global Artificial Intelligence Chipsets Market Outlook, By Retail (2021-2030) ($MN)
  • Table 44 Global Artificial Intelligence Chipsets Market Outlook, By Government (2021-2030) ($MN)
  • Table 45 Global Artificial Intelligence Chipsets Market Outlook, By Law (2021-2030) ($MN)
  • Table 46 Global Artificial Intelligence Chipsets Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 47 Global Artificial Intelligence Chipsets Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.