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2030 年人工智能芯片组市场预测 - 按功能、硬件、技术、处理类型、用途、最终用户和地区进行的全球分析
市场调查报告书
商品编码
1339914

2030 年人工智能芯片组市场预测 - 按功能、硬件、技术、处理类型、用途、最终用户和地区进行的全球分析

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个工作天内

价格

据Stratistics MRC预测，2023年全球人工智能芯片组市场规模将达到186亿美元，预计到2030年将达到1238亿美元，预测期内年复合成长率为31.1%。

人工智能 (AI) 芯片是用于机器学习（包括 AI 技术）的专用硅芯片。在多个工业领域，它有助于减少或消除对人类生命的风险。随着资料量的扩大，开发能够有效解决数学和计算问题的系统变得越来越重要。因此，IT领域的大公司大多都专注于开发AI芯片和软件。

普华永道（PwC）预计，2020年欧洲製造业、汽车和电子等行业预计将在工业4.0解决方案上投资1820.4亿美元。

更多地采用云端基础的解决方案

由于IT/通讯和汽车等行业资料中心建设的扩大，对云端基础的人工智能芯片组的需求预计将增加。随着社交媒体和电子商务的普及，资料量显着增加。芯片组满足了机器学习驱动的更快处理的需求。由于资料量的快速增加，对高速处理器的需求不断增加，这对市场扩张产生积极影响。

缺乏人工智能人才

人工智能由复杂的算法结构。公司需要具有丰富经验和特定技能的员工来构建、运营和部署人工智能係统。此外，将基于人工智能的解决方案整合到当前系统中是一项具有挑战性的任务，因为它们需要处理大量资料来模仿人类行为。此外，人工智能和机器学习等先进技术缺乏专业资格和标准也限制了市场的增长。

量子计算的出现

量子计算技术被世界各地的企业广泛采用来解决复杂问题和执行分析计算。量子计算机是利用人工智能、机器学习、计算机视觉、巨量资料、AR/VR等技术实现的。它用于多种功能，包括欺诈侦测、风险管理、投资组合最佳化以及需要即时资料响应的应用程序。因此，量子计算的出现预计将推动市场增长。

人工智能平台中的资料隐私问题

人工智能平台通常需要访问包含资料和个人资料的庞大数据库。这引发了人们对资料安全和保护的担忧。如果没有得到有效保护，用于训练人工智能模型的资料可能会遭受未经授权的访问、洩露和滥用。这可能是由于资讯盗窃、隐私问题和其他类型的资料滥用造成的。然而，不同司法管辖区的资料隐私法可能有所不同，这使得确保合规性和保护用户隐私变得困难。

COVID-19 影响::

这种趋势对市场产生了负面影响，并且可能会继续下去。这与受影响的生产流程、供应炼和限制人工智能采用的新兴行业有关。封锁要求导致许多工业公司停止生产，对全球供应链系统产生负面影响。由于这次大流行，基于人工智能的硬件和软件的部署被推迟。这场危机对许多公司的打击尤其严重，包括汽车和工业领域的公司。

预计内存领域在预测期内将是最大的

由于预测分析、机器学习、计算机视觉等检验、测试和培训所需的资料积累迅速增加，预计内存领域将在预测期内达到峰值。因此，需要大量的内存用于资料存储。高频宽内存还用于独立于计算架构的应用程序。新兴企业也在研究高带宽文件系统以提高生产力。

机器学习领域预计在预测期内年复合成长率最高。

由于对语音辨识、图像识别和多语言聊天机器人等创新产品的投资不断增加，机器学习行业预计在预测期内将呈现最高的年复合成长率。因此，这些解决方案需要强大的机器学习来利用多个级别的资料。

占比最大的地区

由于大量美国科技巨头进入该市​​场，预计北美在预测期内将占据最大的市场份额。该地区的特点是人口众多、购买力增强、持续的基础设施投资以及政府注重将人工智能应用引入内部。由于AI应用的快速开拓，AI芯片组市场已经成熟并充满机会。

复合年复合成长率最高的地区：

由于人工智能技术投资的增加，预计亚太地区在预测期内将保持最高的年复合成长率。製造业采用尖端的现代生产技术，有助于铝切屑的使用。语音命令只是人工智能芯片组越来越多地应用于笔记本电脑、平板电脑和智能手机等消费电子产品的众多功能之一。这导致该地区对人工智能芯片组的接受度很高。

免费定制服务：

订阅此报告的客户将收到以下免费定制选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（注：基于可行性检查）
  • 竞争标杆管理
    • 根据产品系列、地域分布和战略联盟对主要企业进行基准测试

目录

第1章执行摘要

第2章前言

  • 概述
  • 利益相关者
  • 调查范围
  • 调查方法
    • 资料挖掘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 假设

第3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 用途分析
  • 最终用户分析
  • 新兴市场
  • 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第5章全球人工智能芯片组市场：按特征

  • 推理
  • 训练

第6章全球人工智能芯片组市场：按硬件分类

  • 记忆
  • 通讯网络
  • 处理器
    • 现场可编程门阵列 (FPGA)
    • 中央处理器（CPU）
    • 图形处理单元（GPU）
    • 用途积体电路(ASIC)
  • 其他硬件

第7章全球人工智能芯片组市场：按技术分类

  • 自然语言处理
  • 计算机视觉
  • 预测分析
  • 上下文感知计算
  • 机器学习
    • 无监督学习
    • 监督学习
    • 深度学习
    • 强化学习
  • 其他技术

第8章全球人工智能芯片组市场：按处理类型

  • 边缘计算
  • 云端运算

第9章全球人工智能芯片组市场：按用途

  • 车
  • 智慧型手机
  • 医学图像处理
  • 机器人技术
  • 保安系统
  • 其他用途

第10章全球人工智能芯片组市场：按最终用户分类

  • 农业
  • 网络安全
  • 行销
  • 金融科技
  • 车
  • 人力资源
  • 卫生保健
  • 零售
  • 政府
  • 司法
  • 製造业
  • 其他最终用户

第11章全球人工智能芯片组市场：按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳大利亚
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第12章进展

  • 合同、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第13章公司简介

  • 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.