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市场调查报告书
商品编码
1503311

2030 年人工智慧市场预测：按类型、系统类型、产品、部署模式、业务功能、技术、最终用户和地区进行的全球分析

Artificial Intelligence Market Forecasts to 2030 - Global Analysis By Type, System Type, Offering, Deployment Mode, Business Function, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC的数据，2024年全球人工智慧市场规模为6,648.8亿美元，预计2030年将达到20.8667亿美元，复合年增长率为21.0%。

在像人类一样思考和行动的机器中模拟人类智慧被称为人工智慧。这包括广泛的活动，例如学习、思考、解决问题、感知和语言理解。借助大规模资料处理演算法和模型，人工智慧系统具有识别模式、做出决策并随着时间的推移而发展的能力。此外，人工智慧正广泛应用于医疗、金融、日常生活等各行业。

根据人工智慧促进协会（AAAI）的定义，人工智慧是对思维和智慧行为的底层机制的科学理解，并在机器中实现。

改进的资料可访问性

社交媒体平台、物联网设备、感测器和线上交易等各种来源的资料呈指数级增长，使人工智慧系统能够存取大量资料。如此大量的资料使人工智慧模型能够准确地了解趋势、预测结果并得出结论。结构化和非结构化资料的现成可用性正在加速机器学习和资料分析资料的发展。此外，这有助于提取有价值的资讯并加速全面的决策过程。

缺乏技术纯熟劳工

对人才的需求并没有跟上人工智慧产业的爆炸性扩张。人工智慧、机器学习和资料科学专家的严重短缺使得组织很难找到和留住人才。人工智慧技术的复杂性和动态性需要不断学习和适应，加剧了这种人才缺口。此外，由于培训现有员工和僱用新员工所需的时间和费用，许多公司严重阻碍了人工智慧的采用和可扩展性。

加强医疗保健

人工智慧有能力透过增强患者护理、治疗策略和诊断来彻底改变医疗保健。由人工智慧驱动的工具可以分析医学影像、发现异常并帮助早期诊断神经系统疾病和癌症等疾病。使用预测分析预测患者结果可以提供主动护理并减少再入院率。此外，人工智慧驱动的个人化医疗可以根据每位患者独特的基因谱定製药物，提高疗效并减少副作用。

道德和伦理问题

人工智慧的使用引发了许多伦理和道德问题，特别是与隐私、自主性和课责相关的问题。人工智慧系统通常处理包含个人资讯的庞大资料集，如果管理不当，可能会导致隐私侵犯。人工智慧自行做出决策的潜力也引发了一个问题：谁要为错误和伤害负责。此外，很难确定谁对错误负责，例如在驾驶人汽车或使用人工智慧进行医疗诊断的情况下。

COVID-19 的影响：

随着企业寻求解决危机带来的障碍，COVID-19 大流行加速了人工智慧在许多行业的采用。人工智慧正在帮助医疗产业预测疫情、加速疫苗开发并充分利用可用资源。人工智慧透过聊天机器人和虚拟助理帮助企业改善客户服务，透过复杂的通讯工具实现远端工作，并管理供应链中断。此外，疫情也引发了资料分析、自动化和人工智慧主导的非接触式互动解决方案的创新，以提高弹性和业务效率。

预计云部分在预测期内将是最大的

在人工智慧领域，云端细分市场占有最大的市场占有率。云端的可扩展性、可承受性和灵活性使企业能够部署人工智慧解决方案，而无需领先大量基础设施投资，这正在推动市场扩张。由于复杂的演算法、强大的运算能力以及对大量资料集的轻鬆访问，云端基础的人工智慧服务使企业能够快速创新并轻鬆实施人工智慧应用程式。此外，云端平台提供强大的安全性、合规性和维护能力，减少了企业自行处理这些方面的需要。

人工智慧企业使用案例市场预计在预测期内复合年增长率最高

人工智慧市场复合年增长率最高的预计将出现在人工智慧企业用例领域。此细分市场涵盖各行业的广泛应用，利用人工智慧来提高竞争、效率和创新。公司越来越多地将人工智慧用于供应链优化、诈欺检测、机器人客户支援和预测性维护等应用。此外，机器学习、自然语言处理和电脑视觉方面的技术发展正在扩大人工智慧在商业中应用的范围和影响。

比最大的地区

北美是全球人工智慧市场份额最大的地区。该地区拥有各行业的高采用率、强大的研发力度以及重要的人工智慧技术供应商。人工智慧领域尤其以美国为主，硅谷是人工智慧新兴企业的创新和资金筹措中心。 Google、微软和IBM等总部位于北美的大型科技公司正大力投资人工智慧研发。此外，北美在人工智慧市场上处于领先地位，拥有政府支持、强大的学术机构和完善的创投生态系统。

复合年增长率最高的地区：

欧洲人工智慧市场预计将以全球最高的复合年增长率成长。由于欧洲对研究和开发的重视、强有力的法规结构以及对人工智慧技术投资的增加，欧洲处于有利位置，可以看到人工智慧采用的大幅成长。英国、德国、法国和瑞典等国家在政府计画、学术机构和产业合作的支持下，在人工智慧创新和投资方面处于领先地位。此外，欧盟支持创新和数位转型的人工智慧策略和计画正在扩大该地区的人工智慧市场。

免费客製化服务

订阅此报告的客户可以利用以下免费自订选项之一：

  • 公司简介
    • 其他市场参与企业的综合分析（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/复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 按产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行概述

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 介绍
  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 最终用户分析
  • 新兴市场
  • 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

第五章全球人工智慧市场：按类型

  • 介绍
  • 通用/强人工智慧
  • 狭义/弱人工智慧
  • 其他的

第六章全球人工智慧市场：按系统类型

  • 介绍
  • 人工神经网路 (ANN)
  • 数位个人助理
  • 汽车机器人系统
  • 模糊系统
  • 嵌入式系统
  • 情报系统
  • 决策支援处理
  • 机器人整合生产系统
  • 混合系统
  • 其他系统类型

第七章 全球人工智慧市场：依产品分类

  • 介绍
  • 软体
    • 人工智慧解决方案
    • 机器学习框架
    • 应用程式介面（API）
    • 人工智慧平台
  • 硬体
    • 感应器
    • 网路硬体
    • 处理器
      • 现场可程式闸阵列
      • 微处理单元
      • 图形处理单元
    • 人工智慧晶片组
    • 记忆单元
    • 储存设备
  • 服务
    • 管理
      • 安装
      • 训练
    • 专业的
      • 人工智慧技术咨询
      • 支援与维护
      • 部署与系统集成

第八章全球人工智慧市场：按部署模式

  • 介绍
  • 云
  • 本地

第九章全球人工智慧市场：按业务功能划分

  • 介绍
  • 行销与销售
  • 人力资源
  • 财会
  • 财富管理
  • 法律事务
  • 安全
  • 预测和建模
  • 人工智慧企业用例

第十章全球人工智慧市场：依技术分类

  • 介绍
  • 查询方式
  • 自然语言生成
  • 语音辨识（语音分析）
  • 文字分析
  • 电脑（机器）视觉
  • 进阶分析
  • 适应性学习
  • 上下文感知计算
  • 机器学习
    • 通用对抗网路（GANS）
    • 强化学习
    • 监督学习
    • 深度学习
    • 无监督学习
  • 自然语言处理（NLP）
  • 手势控制
  • 影像处理
  • 其他的

第十一章 全球人工智慧市场：依最终用户分类

  • 介绍
  • 医疗保健
    • 机器人辅助手术
    • 虚拟护理助理
    • 医院工作流程管理
    • 减少用药错误
    • 临床试验参与者识别符
    • 初步诊断
    • 自动影像诊断
  • BFSI
    • 风险评估
    • 财务分析/调查
    • 投资/投资组合管理
  • 零售
  • 广告和媒体
  • 汽车/交通
  • 农业
  • 製造业
  • 其他的

第十二章 全球人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 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/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东/非洲

第十三章 主要发展

  • 合约、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

第十四章 公司概况

  • Huawei
  • Google LLC
  • Microsoft
  • Salesforce Inc.
  • Cisco Systems, Inc.
  • IBM
  • Oracle Corporation
  • Dell Technologies
  • Intel Corporation
  • Accenture
  • Siemens
  • IPsoft Inc
  • NVIDIA Corporation
  • Amazon Web Services
  • Next IT Corporation
Product Code: SMRC26477

According to Stratistics MRC, the Global Artificial Intelligence (AI) Market is accounted for $664.88 billion in 2024 and is expected to reach $2086.67 billion by 2030 growing at a CAGR of 21.0% during the forecast period. The simulation of human intelligence in machines created to think and behave like humans is known as artificial intelligence, or AI. This includes a wide range of activities like learning, thinking, solving problems, perceiving, and comprehending language. Large-scale data processing algorithms and models give artificial intelligence (AI) systems their ability to identify patterns, make judgments, and develop over time. Moreover, AI is being used in a wide range of industries, such as healthcare, finance, and daily life.

According to the Association for the Advancement of Artificial Intelligence (AAAI), artificial intelligence is defined as the scientific understanding of the mechanisms underlying thought and intelligent behaviour and their embodiment in machines.

Market Dynamics:

Driver:

Enhanced accessibility of data

Artificial intelligence (AI) systems have access to a vast amount of data due to the exponential growth of data coming from a variety of sources, such as social media platforms, IoT devices, sensors, and online transactions. With this massive amount of data, AI models are able to accurately spot trends, forecast outcomes, and draw conclusions. Both structured and unstructured data are now readily available, which has accelerated the development of machine learning and data analytics algorithms. Additionally, this has facilitated the extraction of valuable information and accelerated the process of decision-making across the board.

Restraint:

Absence of skilled labor

The demand for qualified workers has not kept up with the AI industry's explosive expansion. Finding and keeping competent talent is difficult for organizations due to the severe lack of specialists in AI, machine learning, and data science. The intricate and dynamic nature of AI technologies, which necessitate constant learning and adaptation, exacerbates this talent gap. Furthermore, AI adoption and scalability are severely hampered for many businesses by the time and money required for training current staff members and hiring new hires.

Opportunity:

Enhancements in healthcare

AI has the power to completely transform healthcare by enhancing patient care, treatment strategies, and diagnosis. Artificial intelligence (AI)-powered tools are able to analyze medical images, find anomalies, and help with early disease diagnosis, including neurological disorders and cancer. Proactive care can be provided, and hospital readmissions can be decreased by using predictive analytics to foresee patient outcomes. Moreover, AI-powered personalized medicine adjusts medications based on each patient's unique genetic profile, increasing effectiveness and reducing side effects.

Threat:

Moral and ethical issues

Many ethical and moral questions are brought up by the use of AI, especially in relation to privacy, autonomy, and accountability. Artificial intelligence (AI) systems frequently work with huge datasets that contain personal data, which, if improperly managed, can result in privacy violations. The possibility of AI making decisions on its own also begs the question of who is responsible for mistakes or injuries. Additionally, determining responsibility for errors can be difficult, for example, in the cases of driverless cars and AI-driven medical diagnosis.

Covid-19 Impact:

The COVID-19 pandemic hastened the adoption of artificial intelligence (AI) in a number of industries as businesses attempted to manage the obstacles presented by the crisis. AI has been instrumental in the healthcare industry in terms of forecasting outbreaks, expediting the development of vaccines, and maximizing the use of available resources. AI has improved customer service through chatbots and virtual assistants, allowed remote work through sophisticated communication tools, and helped businesses manage supply chain disruptions. Furthermore, the pandemic also sparked innovation in data analysis, automation, and AI-driven contactless interaction solutions to boost resilience and operational efficiency.

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

The cloud segment has the largest market share in artificial intelligence (AI). The cloud's scalability, affordability, and flexibility-which enable enterprises to implement AI solutions without having to make sizable upfront infrastructure investments-are what propel the market's expansion. Businesses may innovate quickly and implement AI applications with ease thanks to cloud-based AI services, which offer simple access to sophisticated algorithms, enormous computational capacity, and sizable datasets. Moreover, cloud platforms provide strong security, compliance, and maintenance capabilities, which lessen the need for businesses to handle these facets on their own.

The Artificial Intelligence (AI) Enterprise Use Cases segment is expected to have the highest CAGR during the forecast period

The AI market's highest CAGR is anticipated for the Artificial Intelligence (AI) Enterprise Use Cases segment. This segment covers a wide range of applications from various industries, using AI to boost competitiveness, efficiency, and innovation. Businesses are using artificial intelligence (AI) more and more for applications like supply chain optimization, fraud detection, robotic customer support, and predictive maintenance. Furthermore, broadening the reach and influence of AI applications in businesses are technological developments in machine learning, natural language processing, and computer vision.

Region with largest share:

North America is the region with the largest share of the global artificial intelligence (AI) market. This region's high adoption rates across a range of industries, strong R&D efforts, and presence of important AI technology providers all contribute to this. The AI scene is dominated, in particular, by the United States, with Silicon Valley acting as a center of innovation and funding for AI startups. With their headquarters located in North America, major tech companies such as Google, Microsoft, and IBM heavily invest in AI research and development. Additionally, North America is leading the AI market in addition to supportive government initiatives, robust academic institutions, and an established venture capital ecosystem.

Region with highest CAGR:

Europe's artificial intelligence (AI) market is predicted to grow at the highest CAGR in the world. Europe is well-positioned to witness a substantial surge in the adoption of AI due to its emphasis on research and development, strong regulatory frameworks, and growing investments in AI technology. Leading the way in AI innovation and investment are nations like the UK, Germany, France, and Sweden, which are aided by government programs, academic institutions, and industry cooperation. Moreover, the region's AI market is growing, thanks in part to the European Union's AI strategy as well as programs that support innovation and digital transformation.

Key players in the market

Some of the key players in Artificial Intelligence (AI) market include Huawei, Google LLC, Microsoft, Salesforce Inc., Cisco Systems, Inc., IBM, Oracle Corporation, Dell Technologies, Intel Corporation, Accenture, Siemens, IPsoft Inc, NVIDIA Corporation, Amazon Web Services and Next IT Corporation.

Key Developments:

In June 2024, Microsoft has announced a multi-billion-dollar AI-focused partnership with Japan's Hitachi. The collaboration is designed to use generative artificial intelligence (AI) to fuel the growth of Hitachi's business software and services business Lumada, particularly in social infrastructure areas like energy and mobility.

In May 2024, Google LLC has entered into power purchase agreements (PPAs) with two Japanese energy providers securing 60 MW of solar capacity dedicated to providing electricity to the company's data centres in Japan.

In April 2024, Huawei and EDMI announced signing a patent license agreement under fair, reasonable, and non-discriminatory (FRAND) conditions. Huawei will grant a cellular IoT Standard Essential Patents (SEPs) license, including NB-IoT, LTE-M and LTE Cat. 1 to EDMI. This agreement represents recognition of the strength of Huawei's cellular IoT SEPs from industry peers.

Types Covered:

  • General/Strong Artificial Intelligence
  • Narrow/Weak Artificial Intelligence
  • Other Types

System Types Covered:

  • Artificial Neural Networks (ANN)
  • Digital Personal Assistant
  • Automotive Robotics System
  • Fuzzy Systems
  • Embedded System
  • Intelligence Systems
  • Decision Support Processing
  • Robot-Integrated Manufacturing Systems
  • Hybrid Systems
  • Other System Types

Offerings Covered:

  • Software
  • Hardware
  • Services

Deployment Modes Covered:

  • Cloud
  • On-Premises

Business Functions Covered:

  • Marketing and Sales
  • Human Resources
  • Finance and Accounting
  • Wealth Management
  • Law
  • Security
  • Forecasts and Modelling
  • Artificial Intelligence (AI) Enterprise Use Cases

Technologies Covered:

  • Querying Method
  • Natural Language Generation
  • Speech Recognition (Speech Analytics)
  • Text Analytics
  • Computer (Machine) Vision
  • Advanced Analytics
  • Adaptive Learning
  • Context-Aware Computing
  • Machine Learning
  • Natural Language Processing (NLP)
  • Gesture Control
  • Image Processing
  • Other Technologies

End Users Covered:

  • Healthcare
  • BFSI
  • Retail
  • Advertising and Media
  • Automotive and Transportation
  • Agriculture
  • 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 2022, 2023, 2024, 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 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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 (AI) Market, By Type

  • 5.1 Introduction
  • 5.2 General/Strong Artificial Intelligence
  • 5.3 Narrow/Weak Artificial Intelligence
  • 5.4 Other Types

6 Global Artificial Intelligence (AI) Market, By System Type

  • 6.1 Introduction
  • 6.2 Artificial Neural Networks (ANN)
  • 6.3 Digital Personal Assistant
  • 6.4 Automotive Robotics System
  • 6.5 Fuzzy Systems
  • 6.6 Embedded System
  • 6.7 Intelligence Systems
  • 6.8 Decision Support Processing
  • 6.9 Robot-Integrated Manufacturing Systems
  • 6.10 Hybrid Systems
  • 6.11 Other System Types

7 Global Artificial Intelligence (AI) Market, By Offering

  • 7.1 Introduction
  • 7.2 Software
    • 7.2.1 Artificial Intelligence (AI) Solutions
    • 7.2.2 Machine Learning Framework
    • 7.2.3 Application Program Interface (API)
    • 7.2.4 Artificial Intelligence (AI) Platforms
  • 7.3 Hardware
    • 7.3.1 Sensors
    • 7.3.2 Networking Hardware
    • 7.3.3 Processor
      • 7.3.3.1 Field Programmable Gate Arrays
      • 7.3.3.2 Microprocessing Unit
      • 7.3.3.3 Graphics Processing Unit
    • 7.3.4 Artificial Intelligence (AI) Chipsets
    • 7.3.5 Memory Units
    • 7.3.6 Storage Devices
  • 7.4 Services
    • 7.4.1 Managed
      • 7.4.1.1 Installation
      • 7.4.1.2 Training
    • 7.4.2 Professional
      • 7.4.2.1 Artificial Intelligence (AI) Technology Consulting
      • 7.4.2.2 Support and Maintenance
      • 7.4.2.3 Deployment and System Integration

8 Global Artificial Intelligence (AI) Market, By Deployment Mode

  • 8.1 Introduction
  • 8.2 Cloud
  • 8.3 On-Premises

9 Global Artificial Intelligence (AI) Market, By Business Function

  • 9.1 Introduction
  • 9.2 Marketing and Sales
  • 9.3 Human Resources
  • 9.4 Finance and Accounting
  • 9.5 Wealth Management
  • 9.6 Law
  • 9.7 Security
  • 9.8 Forecasts and Modelling
  • 9.9 Artificial Intelligence (AI) Enterprise Use Cases

10 Global Artificial Intelligence (AI) Market, By Technology

  • 10.1 Introduction
  • 10.2 Querying Method
  • 10.3 Natural Language Generation
  • 10.4 Speech Recognition (Speech Analytics)
  • 10.5 Text Analytics
  • 10.6 Computer (Machine) Vision
  • 10.7 Advanced Analytics
  • 10.8 Adaptive Learning
  • 10.9 Context-Aware Computing
  • 10.10 Machine Learning
    • 10.10.1 General Adversarial Networks (GANS)
    • 10.10.2 Reinforcement Learning
    • 10.10.3 Supervised Learning
    • 10.10.4 Deep Learning
    • 10.10.5 Unsupervised Learning
  • 10.11 Natural Language Processing (NLP)
  • 10.12 Gesture Control
  • 10.13 Image Processing
  • 10.14 Other Technologies

11 Global Artificial Intelligence (AI) Market, By End User

  • 11.1 Introduction
  • 11.2 Healthcare
    • 11.2.1 Robot Assisted Surgery
    • 11.2.2 Virtual Nursing Assistants
    • 11.2.3 Hospital Workflow Management
    • 11.2.4 Dosage Error Reduction
    • 11.2.5 Clinical Trial Participant Identifier
    • 11.2.6 Preliminary Diagnosis
    • 11.2.7 Automated Image Diagnosis
  • 11.3 BFSI
    • 11.3.1 Risk Assessment
    • 11.3.2 Financial Analysis/Research
    • 11.3.3 Investment/Portfolio Management
  • 11.4 Retail
  • 11.5 Advertising and Media
  • 11.6 Automotive and Transportation
  • 11.7 Agriculture
  • 11.8 Manufacturing
  • 11.9 Other End Users

12 Global Artificial Intelligence (AI) Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 Huawei
  • 14.2 Google LLC
  • 14.3 Microsoft
  • 14.4 Salesforce Inc.
  • 14.5 Cisco Systems, Inc.
  • 14.6 IBM
  • 14.7 Oracle Corporation
  • 14.8 Dell Technologies
  • 14.9 Intel Corporation
  • 14.10 Accenture
  • 14.11 Siemens
  • 14.12 IPsoft Inc
  • 14.13 NVIDIA Corporation
  • 14.14 Amazon Web Services
  • 14.15 Next IT Corporation

List of Tables

  • Table 1 Global Artificial Intelligence (AI) Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Artificial Intelligence (AI) Market Outlook, By Type (2022-2030) ($MN)
  • Table 3 Global Artificial Intelligence (AI) Market Outlook, By General/Strong Artificial Intelligence (2022-2030) ($MN)
  • Table 4 Global Artificial Intelligence (AI) Market Outlook, By Narrow/Weak Artificial Intelligence (2022-2030) ($MN)
  • Table 5 Global Artificial Intelligence (AI) Market Outlook, By Other Types (2022-2030) ($MN)
  • Table 6 Global Artificial Intelligence (AI) Market Outlook, By System Type (2022-2030) ($MN)
  • Table 7 Global Artificial Intelligence (AI) Market Outlook, By Artificial Neural Networks (ANN) (2022-2030) ($MN)
  • Table 8 Global Artificial Intelligence (AI) Market Outlook, By Digital Personal Assistant (2022-2030) ($MN)
  • Table 9 Global Artificial Intelligence (AI) Market Outlook, By Automotive Robotics System (2022-2030) ($MN)
  • Table 10 Global Artificial Intelligence (AI) Market Outlook, By Fuzzy Systems (2022-2030) ($MN)
  • Table 11 Global Artificial Intelligence (AI) Market Outlook, By Embedded System (2022-2030) ($MN)
  • Table 12 Global Artificial Intelligence (AI) Market Outlook, By Intelligence Systems (2022-2030) ($MN)
  • Table 13 Global Artificial Intelligence (AI) Market Outlook, By Decision Support Processing (2022-2030) ($MN)
  • Table 14 Global Artificial Intelligence (AI) Market Outlook, By Robot-Integrated Manufacturing Systems (2022-2030) ($MN)
  • Table 15 Global Artificial Intelligence (AI) Market Outlook, By Hybrid Systems (2022-2030) ($MN)
  • Table 16 Global Artificial Intelligence (AI) Market Outlook, By Other System Types (2022-2030) ($MN)
  • Table 17 Global Artificial Intelligence (AI) Market Outlook, By Offering (2022-2030) ($MN)
  • Table 18 Global Artificial Intelligence (AI) Market Outlook, By Software (2022-2030) ($MN)
  • Table 19 Global Artificial Intelligence (AI) Market Outlook, By Artificial Intelligence (AI) Solutions (2022-2030) ($MN)
  • Table 20 Global Artificial Intelligence (AI) Market Outlook, By Machine Learning Framework (2022-2030) ($MN)
  • Table 21 Global Artificial Intelligence (AI) Market Outlook, By Application Program Interface (API) (2022-2030) ($MN)
  • Table 22 Global Artificial Intelligence (AI) Market Outlook, By Artificial Intelligence (AI) Platforms (2022-2030) ($MN)
  • Table 23 Global Artificial Intelligence (AI) Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 24 Global Artificial Intelligence (AI) Market Outlook, By Sensors (2022-2030) ($MN)
  • Table 25 Global Artificial Intelligence (AI) Market Outlook, By Networking Hardware (2022-2030) ($MN)
  • Table 26 Global Artificial Intelligence (AI) Market Outlook, By Processor (2022-2030) ($MN)
  • Table 27 Global Artificial Intelligence (AI) Market Outlook, By Artificial Intelligence (AI) Chipsets (2022-2030) ($MN)
  • Table 28 Global Artificial Intelligence (AI) Market Outlook, By Memory Units (2022-2030) ($MN)
  • Table 29 Global Artificial Intelligence (AI) Market Outlook, By Storage Devices (2022-2030) ($MN)
  • Table 30 Global Artificial Intelligence (AI) Market Outlook, By Services (2022-2030) ($MN)
  • Table 31 Global Artificial Intelligence (AI) Market Outlook, By Managed (2022-2030) ($MN)
  • Table 32 Global Artificial Intelligence (AI) Market Outlook, By Professional (2022-2030) ($MN)
  • Table 33 Global Artificial Intelligence (AI) Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 34 Global Artificial Intelligence (AI) Market Outlook, By Cloud (2022-2030) ($MN)
  • Table 35 Global Artificial Intelligence (AI) Market Outlook, By On-Premises (2022-2030) ($MN)
  • Table 36 Global Artificial Intelligence (AI) Market Outlook, By Business Function (2022-2030) ($MN)
  • Table 37 Global Artificial Intelligence (AI) Market Outlook, By Marketing and Sales (2022-2030) ($MN)
  • Table 38 Global Artificial Intelligence (AI) Market Outlook, By Human Resources (2022-2030) ($MN)
  • Table 39 Global Artificial Intelligence (AI) Market Outlook, By Finance and Accounting (2022-2030) ($MN)
  • Table 40 Global Artificial Intelligence (AI) Market Outlook, By Wealth Management (2022-2030) ($MN)
  • Table 41 Global Artificial Intelligence (AI) Market Outlook, By Law (2022-2030) ($MN)
  • Table 42 Global Artificial Intelligence (AI) Market Outlook, By Security (2022-2030) ($MN)
  • Table 43 Global Artificial Intelligence (AI) Market Outlook, By Forecasts and Modelling (2022-2030) ($MN)
  • Table 44 Global Artificial Intelligence (AI) Market Outlook, By Artificial Intelligence (AI) Enterprise Use Cases (2022-2030) ($MN)
  • Table 45 Global Artificial Intelligence (AI) Market Outlook, By Technology (2022-2030) ($MN)
  • Table 46 Global Artificial Intelligence (AI) Market Outlook, By Querying Method (2022-2030) ($MN)
  • Table 47 Global Artificial Intelligence (AI) Market Outlook, By Natural Language Generation (2022-2030) ($MN)
  • Table 48 Global Artificial Intelligence (AI) Market Outlook, By Speech Recognition (Speech Analytics) (2022-2030) ($MN)
  • Table 49 Global Artificial Intelligence (AI) Market Outlook, By Text Analytics (2022-2030) ($MN)
  • Table 50 Global Artificial Intelligence (AI) Market Outlook, By Computer (Machine) Vision (2022-2030) ($MN)
  • Table 51 Global Artificial Intelligence (AI) Market Outlook, By Advanced Analytics (2022-2030) ($MN)
  • Table 52 Global Artificial Intelligence (AI) Market Outlook, By Adaptive Learning (2022-2030) ($MN)
  • Table 53 Global Artificial Intelligence (AI) Market Outlook, By Context-Aware Computing (2022-2030) ($MN)
  • Table 54 Global Artificial Intelligence (AI) Market Outlook, By Machine Learning (2022-2030) ($MN)
  • Table 55 Global Artificial Intelligence (AI) Market Outlook, By General Adversarial Networks (GANS) (2022-2030) ($MN)
  • Table 56 Global Artificial Intelligence (AI) Market Outlook, By Reinforcement Learning (2022-2030) ($MN)
  • Table 57 Global Artificial Intelligence (AI) Market Outlook, By Supervised Learning (2022-2030) ($MN)
  • Table 58 Global Artificial Intelligence (AI) Market Outlook, By Deep Learning (2022-2030) ($MN)
  • Table 59 Global Artificial Intelligence (AI) Market Outlook, By Unsupervised Learning (2022-2030) ($MN)
  • Table 60 Global Artificial Intelligence (AI) Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
  • Table 61 Global Artificial Intelligence (AI) Market Outlook, By Gesture Control (2022-2030) ($MN)
  • Table 62 Global Artificial Intelligence (AI) Market Outlook, By Image Processing (2022-2030) ($MN)
  • Table 63 Global Artificial Intelligence (AI) Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 64 Global Artificial Intelligence (AI) Market Outlook, By End User (2022-2030) ($MN)
  • Table 65 Global Artificial Intelligence (AI) Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 66 Global Artificial Intelligence (AI) Market Outlook, By Robot Assisted Surgery (2022-2030) ($MN)
  • Table 67 Global Artificial Intelligence (AI) Market Outlook, By Virtual Nursing Assistants (2022-2030) ($MN)
  • Table 68 Global Artificial Intelligence (AI) Market Outlook, By Hospital Workflow Management (2022-2030) ($MN)
  • Table 69 Global Artificial Intelligence (AI) Market Outlook, By Dosage Error Reduction (2022-2030) ($MN)
  • Table 70 Global Artificial Intelligence (AI) Market Outlook, By Clinical Trial Participant Identifier (2022-2030) ($MN)
  • Table 71 Global Artificial Intelligence (AI) Market Outlook, By Preliminary Diagnosis (2022-2030) ($MN)
  • Table 72 Global Artificial Intelligence (AI) Market Outlook, By Automated Image Diagnosis (2022-2030) ($MN)
  • Table 73 Global Artificial Intelligence (AI) Market Outlook, By BFSI (2022-2030) ($MN)
  • Table 74 Global Artificial Intelligence (AI) Market Outlook, By Risk Assessment (2022-2030) ($MN)
  • Table 75 Global Artificial Intelligence (AI) Market Outlook, By Financial Analysis/Research (2022-2030) ($MN)
  • Table 76 Global Artificial Intelligence (AI) Market Outlook, By Investment/Portfolio Management (2022-2030) ($MN)
  • Table 77 Global Artificial Intelligence (AI) Market Outlook, By Retail (2022-2030) ($MN)
  • Table 78 Global Artificial Intelligence (AI) Market Outlook, By Advertising and Media (2022-2030) ($MN)
  • Table 79 Global Artificial Intelligence (AI) Market Outlook, By Automotive and Transportation (2022-2030) ($MN)
  • Table 80 Global Artificial Intelligence (AI) Market Outlook, By Agriculture (2022-2030) ($MN)
  • Table 81 Global Artificial Intelligence (AI) Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 82 Global Artificial Intelligence (AI) Market Outlook, By Other End Users (2022-2030) ($MN)

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