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市场调查报告书
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1390902

2023-2028 年按类型、产品、技术、系统、最终用途产业和地区分類的人工智慧市场报告

Artificial Intelligence Market Report by Type, Offering, Technology, System, End-Use Industry, and Region 2023-2028
出版日期: | 出版商: IMARC | 英文 144 Pages | 商品交期: 2-3个工作天内

价格

抽象的

2022年全球人工智慧市场规模达到709亿美元。展望未来， IMARC Group预计到2028年市场规模将达到3,504亿美元，2022-2028年复合年增长率（CAGR）为30.51%。基于云端的解决方案的日益普及、自动驾驶汽车 (AV) 销售的不断增长以及慢性病的日益流行是推动市场发展的一些关键因素。

人工智慧（AI）是指机器，特别是电脑系统对人类智慧过程的模拟。它涉及创建演算法和系统，使机器能够执行通常需要人类认知功能的任务，例如学习、推理、解决问题和决策。人工智慧涵盖广泛的技术，包括机器学习、自然语言处理和电脑视觉。机器学习是人工智慧的一个子集，涉及演算法的开发，使电脑无需显式编程即可根据资料进行学习并做出预测或决策。自然语言处理使机器能够理解和解释人类语言，促进人与电脑之间的沟通。此外，电脑视觉使机器能够解释和分析来自世界的视觉讯息，类似于人类感知和理解图像的方式。

资料生成的指数级增长和高效能运算资源的可用性使人工智慧系统能够处理和分析海量数据集，从而促进了先进人工智慧演算法和模型的发展。此外，人工智慧驱动的自动化有潜力简化从製造到物流等各个领域的营运并提高效率。企业正在利用人工智慧来优化流程、降低成本并提高整体生产力。除此之外，人工智慧驱动的演算法使企业能够为客户提供个人化体验，从而提高参与度和满意度。推荐系​​统、聊天机器人和虚拟助理使用人工智慧来了解客户偏好并提供量身定制的解决方案。除此之外，人工智慧还透过帮助诊断、药物发现和治疗开发来彻底改变医疗保健。医学影像分析、预测分析和基因组学研究正受益于人工智慧驱动的见解。与此相适应，智慧型装置和物联网 (IoT) 正在将人工智慧整合到语音识别、脸部辨识和预测性维护中，促进人工智慧在消费性电子产品中的发展。此外，人工智慧正在透过演算法交易、诈欺侦测和风险评估重塑金融业。机器学习演算法分析市场趋势并预测投资机会。此外，机器学习技术特别是深度学习的突破增强了人工智慧系统在影像辨识、自然语言理解和预测分析等任务中的能力，从而在各行业中得到更广泛的应用。

人工智慧市场趋势/驱动因素：

数据扩散和处理能力

数位时代产生了前所未有的大量讯息，从客户行为资料到物联网设备的感测器资料。这些丰富的资料是训练人工智慧演算法和模型的基础。此外，高效能运算资源（包括 GPU 和专用人工智慧硬体）的可用性使研究人员和开发人员能够以惊人的速度处理和分析这些庞大的资料集。资料可用性和处理能力之间的协同作用释放了开发复杂人工智慧系统的潜力，该系统能够识别模式、做出预测并得出以前无法获得的见解。

机器学习的进步

受神经网路启发的深度学习演算法在影像辨识、自然语言理解和语音合成等任务中展现了卓越的表现。这些演算法擅长从原始资料中自动学习分层特征，使它们能够以极高的准确性执行复杂的任务。迁移学习是深度学习中的一种技术，允许针对一项任务预先训练的模型针对另一项任务进行微调，从而减少对大量标记资料的需求。这些进步降低了人工智慧开发的进入门槛，扩大了其在各个领域的适用性，推动人工智慧解决方案融入日常技术和流程。

自动化和效率

由机器人流程自动化 (RPA) 和自主系统等人工智慧技术支援的自动化正在消除先前消耗宝贵人力资源的重复性和平凡任务。这种转变使人类工作者能够专注于需要创造力、批判性思维和解决问题的更高价值的任务。製造、物流和客户服务等行业正在部署人工智慧驱动的机器人和系统来处理从库存管理到客户互动等各种任务。其结果不仅提高了生产力，而且提高了准确性和一致性。企业正在认识到人工智慧改变其营运的潜力，从而导致广泛采用自动化解决方案，增强人类能力并推动业务成长。

人工智慧产业细分：

IMARC Group提供了全球人工智慧市场报告各细分市场主要趋势的分析，以及 2023-2028 年全球、区域和国家层面的预测。我们的报告根据类型、产品、技术、系统和最终用途行业对市场进行了分类。

按类型划分：

狭义/弱人工智慧

通用/强人工智慧

狭义/弱人工智慧主导市场

该报告根据类型提供了详细的市场细分和分析。这包括狭义/弱人工智慧和通用/强人工智慧。根据该报告，狭义/弱人工智慧代表了最大的部分。

通用人工智慧或强人工智慧的目标是在广泛的任务中复製类似人类的认知能力，而狭义人工智慧则旨在在特定的、明确定义的任务中表现出色。这种集中的方法可以实现更有效率的开发和部署。机器学习和自然语言处理等狭义人工智慧技术在图像辨识、语言翻译、虚拟助理和推荐系统等任务中展现了卓越的熟练程度。这种有效性导致医疗保健、金融、电子商务和製造等行业快速采用，这些行业高度重视自动化、效率和数据驱动洞察力的直接好处。此外，狭义人工智慧系统的开发通常需要较不复杂的演算法和资料，使企业更容易实施和整合到现有的工作流程中。

按产品划分：

硬体

软体

服务

软体在市场上占有最大份额

报告还提供了基于此次发行的详细市场细分和分析。这包括硬体、软体和服务。报告显示，软体占据了最大的市场份额。

在人工智慧（AI）产业中，软体发挥着至关重要的作用，因为它是开发、部署和管理人工智慧应用程式的基础。人工智慧软体框架、函式库和工具的可访问性降低了企业、研究人员和开发人员尝试人工智慧功能并将其整合到其营运中的准入门槛。软体产品涵盖广泛的人工智慧应用程序，从机器学习平台到自然语言处理 API。这种灵活性使组织能够根据其特定需求客製化人工智慧解决方案，无论是优化供应链、个人化客户体验还是自动化决策流程。此外，许多人工智慧软体解决方案基于云端的特性可以实现无缝扩展和更新，确保企业无需大量基础设施投资即可跟上最新进展。

按技术划分：

机器学习

自然语言处理

上下文感知计算

电脑视觉

其他的

机器学习是应用最广泛的技术

该报告根据技术对市场进行了详细的细分和分析。这包括机器学习、自然语言处理、上下文感知计算、电脑视觉等。根据该报告，机器学习代表了最大的部分。

人工智慧软体作为智慧核心，包含演算法、模型和资料处理机制，使机器能够模拟人类的认知功能。这种软体驱动的方法提供了无与伦比的灵活性，使开发人员和企业能够针对跨行业的各种应用程式客製化人工智慧解决方案。人工智慧软体工具和平台的可访问性使人工智慧开发民主化，使组织能够将人工智慧功能整合到现有的工作流程和应用程式中，而无需大量的硬体投资。这种可访问性，加上人工智慧演算法和技术的快速进步，确保软体始终处于人工智慧创新的前沿。此外，基于云端的人工智慧软体解决方案部署有利于可扩展性和更新，确保企业能够跟上不断发展的人工智慧环境。

按系统划分：

智慧系统

决策支援处理

混合系统

模糊系统

智慧系统占据最大市场份额

报告还提供了基于该系统的详细市场细分和分析。这包括智慧型系统、决策支援处理、混合系统和模糊系统。报告称，智慧系统占据最大的市场份额。

智慧型系统涵盖广泛的应用程序，从虚拟助理和聊天机器人到高级推荐引擎和预测分析平台。这些系统利用人工智慧演算法来处理大量资料，得出有意义的见解，并促进明智的决策。智慧型系统的吸引力在于它们能够提高各部门的效率、准确性和客户参与度。虚拟助理简化了客户交互，而推荐引擎则个性化了用户体验，这两者都有助于提高满意度和保留率。此外，智慧系统支援预测分析，使企业能够预测趋势并优化策略。

依最终用途行业细分：

卫生保健

製造业

汽车

农业

零售

安全

人力资源

行销

金融服务

运输与物流

其他的

製造业是最大的细分市场

该报告根据最终用途行业提供了详细的市场细分和分析。这包括医疗保健、製造、汽车、农业、零售、安全、人力资源、行销、金融服务、运输和物流等。报告称，製造业占最大部分。

人工智慧技术透过提高营运效率、品质控制和产品创新正在彻底改变製造业。人工智慧驱动的自动化可优化生产流程，进而减少停机时间、提高生产力并提高资源利用率。製造涉及复杂的任务，例如预测性维护，其中人工智慧演算法分析设备资料以预测维护需求，防止代价高昂的故障。品质控制受益于人工智慧驱动的视觉检测系统，能够以极高的精度检测缺陷。此外，人工智慧驱动的分析有助于需求预测和供应链优化，确保高效的库存管理并最大限度地减少生产瓶颈。

按地区划分：

北美洲

美国

加拿大

亚太地区

中国

日本

印度

韩国

澳洲

印尼

其他的

欧洲

德国

法国

英国

义大利

西班牙

俄罗斯

其他的

拉丁美洲

巴西

墨西哥

其他的

中东和非洲

北美在市场上表现出明显的主导地位

该报告还对所有主要区域市场进行了全面分析，其中包括北美（美国和加拿大）；欧洲（德国、法国、英国、义大利、西班牙、俄罗斯等）；亚太地区（中国、日本、印度、韩国、澳洲、印尼等）；拉丁美洲（巴西、墨西哥等）；以及中东和非洲。报告称，北美是最大的人工智慧市场。

北美拥有密集的科技巨头、研究机构和新创企业，促进了知识交流和合作。尤其是硅谷，它是人工智慧研发的全球中心。北美创投资金的可用性加速了人工智慧驱动的创业和颠覆性解决方案。此外，精通人工智慧技术的熟练劳动力也有助于该地区的竞争优势。科技、医疗保健、金融和製造业等主要产业都大力投资人工智慧以获得竞争优势，推动市场成长。此外，北美政府透过资金和支援政策来促进人工智慧研究。学术界和工业界之间的合作推动了人工智慧的进步，而乐于接受的消费者群体则鼓励人工智慧在产品和服务中的采用。

竞争格局：

谷歌、微软、IBM等主要科技公司在人工智慧研发上投入巨资，为演算法、自然语言处理和机器学习框架的突破做出了贡献。此外，Facebook、OpenAI 和 NVIDIA 等技术领导者为开源 AI 专案做出了贡献，实现了 AI 工具的民主化，并透过促进开发人员之间的协作来加速开发。除此之外，苹果、亚马逊和英特尔等组织收购人工智慧新创公司，以利用他们的专业知识和创新解决方案。与研究机构和其他行业参与者的合作促进知识交流和技术共享。除此之外，摩根大通等金融机构利用人工智慧进行风险评估、诈欺侦测和交易演算法，进而提高准确性和决策能力。

市场研究报告对市场竞争格局进行了全面分析。也提供了所有主要公司的详细资料。市场上的一些主要参与者包括：

亚马逊网路服务公司

苹果公司。

百度

思科系统公司

脸书公司

通用电气公司

谷歌有限责任公司（Alphabet Inc.）

国际商业机器

英特尔公司

美光科技公司

微软公司

英伟达公司

甲骨文公司

罗克韦尔自动化公司

三星电子有限公司

SAP系统公司

西门子公司

最近的发展：

谷歌有限责任公司推出了两种先进的人工智慧解决方案：目标和先导物识别套件以及专为生命科学领域设计的多组学套件。这些创新产品旨在解决产业内面临的复杂挑战。标靶和先导化合物识别套件旨在简化识别潜在标靶和先导化合物的过程，有助于更高效的药物发现和开发。另一方面，Multiomics Suite是一种复杂的工具，透过整合不同的组学资料来促进综合分析，从而增强对复杂生物系统的洞察。

International Business Machines 推出了名为 IBM Security QRadar Suite 的最新安全解决方案，该解决方案整合了强大的分析和威胁侦测功能，以强化其安全态势并保护敏感资料。该综合套件经过战略设计，旨在应对不断变化的网路安全挑战。 IBM Security QRadar Suite 专注于加强安全措施，结合了先进的技术和方法，提供针对现代威胁的强大防御。该套件包含一系列工具和功能，使组织能够主动识别、分析和回应潜在的安全漏洞。

思科系统公司最近为其 Webex 协作平台推出了一系列由人工智慧驱动的创新产品。这些进步体现了思科对增强使用者协作体验和效率的承诺。透过整合人工智慧，Webex 协作平台旨在将虚拟互动的有效性提升到一个新的水平。

本报告回答的关键问题

  • 2022年全球人工智慧市场规模有多大
  • 2023-2028年全球人工智慧市场预计成长率是多少
  • 推动全球人工智慧市场的关键因素有哪些
  • COVID-19 对全球人工智慧市场有何影响
  • 全球人工智慧市场按类型划分是怎样的
  • 基于产品的全球人工智慧市场的细分是什么
  • 基于技术的全球人工智慧市场区隔如何
  • 基于系统的全球人工智慧市场区隔是怎样的
  • 基于终端用途产业的全球人工智慧市场细分是怎样的
  • 10.全球人工智慧市场的重点区域有哪些？
  • 11. 全球人工智慧市场的主要参与者/公司有哪些？

本报告回答的关键问题

  • 2022年全球人工智慧市场规模有多大？
  • 2023-2028年全球人工智慧市场的预期成长率是多少？
  • 推动全球人工智慧市场的关键因素是什么？
  • COVID-19 对全球人工智慧市场有何影响？
  • 全球人工智慧市场按类型划分是怎样的？
  • 根据该产品，全球人工智慧市场的细分情况如何？
  • 基于技术的全球人工智慧市场的分化是什么？
  • 基于系统的全球人工智慧市场的分化是什么？
  • 基于终端用途产业的全球人工智慧市场细分情况如何？
  • 全球人工智慧市场的重点区域有哪些？
  • 全球人工智慧市场的主要参与者/公司有哪些？

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 资料来源
    • 主要资源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：全球人工智慧市场

  • 市场概况
  • 市场业绩
  • COVID-19 的影响
  • 市场预测

第 6 章：按类型分類的市场细分

  • 狭义/弱人工智慧
    • 市场走向
    • 市场预测
  • 通用/强人工智慧
    • 市场走向
    • 市场预测

第 7 章：依产品划分市场

  • 硬体
    • 市场走向
    • 市场预测
  • 软体
    • 市场走向
    • 市场预测
  • 服务
    • 市场走向
    • 市场预测

第 8 章：依科技分類的市场

  • 机器学习
    • 市场走向
    • 市场预测
  • 自然语言处理
    • 市场走向
    • 市场预测
  • 上下文感知计算
    • 市场走向
    • 市场预测
  • 电脑视觉
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 9 章：按系统分類的市场区隔

  • 智慧系统
    • 市场走向
    • 市场预测
  • 决策支援处理
    • 市场走向
    • 市场预测
  • 混合系统
    • 市场走向
    • 市场预测
  • 模糊系统
    • 市场走向
    • 市场预测

第 10 章：依最终用途产业分類的市场细分

  • 卫生保健
    • 市场走向
    • 市场预测
  • 製造业
    • 市场走向
    • 市场预测
  • 汽车
    • 市场走向
    • 市场预测
  • 农业
    • 市场走向
    • 市场预测
  • 零售
    • 市场走向
    • 市场预测
  • 安全
    • 市场走向
    • 市场预测
  • 人力资源
    • 市场走向
    • 市场预测
  • 行销
    • 市场走向
    • 市场预测
  • 金融服务
    • 市场走向
    • 市场预测
  • 运输与物流
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 11 章：按地区分類的市场细分

  • 北美洲
    • 美国
      • 市场走向
      • 市场预测
    • 加拿大
      • 市场走向
      • 市场预测
  • 亚太地区
    • 中国
      • 市场走向
      • 市场预测
    • 日本
      • 市场走向
      • 市场预测
    • 印度
      • 市场走向
      • 市场预测
    • 韩国
      • 市场走向
      • 市场预测
    • 澳洲
      • 市场走向
      • 市场预测
    • 印尼
      • 市场走向
      • 市场预测
    • 其他的
      • 市场走向
      • 市场预测
  • 欧洲
    • 德国
      • 市场走向
      • 市场预测
    • 法国
      • 市场走向
      • 市场预测
    • 英国
      • 市场走向
      • 市场预测
    • 义大利
      • 市场走向
      • 市场预测
    • 西班牙
      • 市场走向
      • 市场预测
    • 俄罗斯
      • 市场走向
      • 市场预测
    • 其他的
      • 市场走向
      • 市场预测
  • 拉丁美洲
    • 巴西
      • 市场走向
      • 市场预测
    • 墨西哥
      • 市场走向
      • 市场预测
    • 其他的
      • 市场走向
      • 市场预测
  • 中东和非洲
    • 市场走向
    • 按国家/地区分類的市场细分
    • 市场预测

第 12 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 13 章：价值链分析

第 14 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第 15 章：价格指标

第16章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Amazon Web Services Inc.
    • Apple Inc.
    • Baidu
    • Cisco Systems Inc.
    • Facebook Inc.
    • General Electric Company
    • Google LLC (Alphabet Inc.)
    • International Business Machines
    • Intel Corporation
    • Micron Technology Inc.
    • Microsoft Corporation
    • Nvidia Corporation
    • Oracle Corporation
    • Rockwell Automation Inc.
    • Samsung Electronics Co. Ltd.
    • SAP SE
    • Siemens AG
Product Code: SR112023A2078

Abstract

The global artificial intelligence market size reached US$ 70.9 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 350.4 Billion by 2028, exhibiting a growth rate (CAGR) of 30.51% during 2022-2028. The increasing adoption of cloud-based solutions, rising sales of autonomous vehicles (AVs), and the growing prevalence of chronic diseases represent some of the key factors driving the market.

Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems. It involves the creation of algorithms and systems that enable machines to perform tasks that typically require human cognitive functions, such as learning, reasoning, problem-solving, and decision-making. AI encompasses a wide range of technologies, including machine learning, natural language processing, and computer vision. Machine learning, a subset of AI, involves the development of algorithms that allow computers to learn from and make predictions or decisions based on data without explicit programming. Natural language processing enables machines to understand and interpret human language, facilitating communication between humans and computers. Additionally, computer vision empowers machines to interpret and analyze visual information from the world, similar to the way humans perceive and understand images.

The exponential increase in data generation and the availability of high-performance computing resources have enabled AI systems to process and analyze massive datasets, fostering the development of advanced AI algorithms and models. Additionally, AI-driven automation has the potential to streamline operations and enhance efficiency in various sectors, from manufacturing to logistics. Businesses are leveraging AI to optimize processes, reduce costs, and improve overall productivity. Other than this, AI-powered algorithms enable businesses to offer personalized experiences to customers, enhancing engagement and satisfaction. Recommendation systems, chatbots, and virtual assistants use AI to understand customer preferences and deliver tailored solutions. Besides this, AI is revolutionizing healthcare by aiding in diagnostics, drug discovery, and treatment development. Medical imaging analysis, predictive analytics, and genomics research are benefiting from AI-driven insights. In line with this, smart devices and the Internet of Things (IoT) are integrating AI for voice recognition, facial recognition, and predictive maintenance, contributing to the growth of AI in consumer electronics. Furthermore, AI is reshaping the financial industry with algorithmic trading, fraud detection, and risk assessment. Machine learning algorithms analyze market trends and predict investment opportunities. Moreover, breakthroughs in machine learning techniques, particularly deep learning, have enhanced the capabilities of AI systems in tasks such as image recognition, natural language understanding, and predictive analytics, leading to broader applications across industries.

Artificial Intelligence Market Trends/Drivers:

Data Proliferation and Processing Power

The digital age has generated an unprecedented amount of information, ranging from customer behavior data to sensor data from IoT devices. This wealth of data serves as the foundation for training AI algorithms and models. Moreover, the availability of high-performance computing resources, including GPUs and specialized AI hardware, has empowered researchers and developers to process and analyze these vast datasets at remarkable speeds. This synergy between data availability and processing power has unlocked the potential to develop sophisticated AI systems capable of recognizing patterns, making predictions, and deriving insights that were previously inaccessible.

Advancements in Machine Learning

Deep learning algorithms, inspired by neural networks, have shown exceptional performance in tasks such as image recognition, natural language understanding, and speech synthesis. These algorithms excel at automatically learning hierarchical features from raw data, enabling them to perform complex tasks with remarkable accuracy. Transfer learning, a technique within deep learning, allows models pre-trained on one task to be fine-tuned for another, reducing the need for extensive labeled data. Such advancements have lowered the barriers to entry for AI development and expanded its applicability in various domains, driving the integration of AI solutions into everyday technologies and processes.

Automation and Efficiency

Automation powered by AI technologies, such as robotic process automation (RPA) and autonomous systems, is eliminating repetitive and mundane tasks that previously consumed valuable human resources. This shift allows human workers to focus on higher-value tasks that require creativity, critical thinking, and problem-solving. Industries like manufacturing, logistics, and customer service are deploying AI-powered robots and systems to handle tasks ranging from inventory management to customer interactions. The result is not only increased productivity but also improved accuracy and consistency. Businesses are recognizing the potential of AI to transform their operations, leading to the widespread adoption of automation solutions that augment human capabilities and drive business growth.

Artificial Intelligence Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence market report, along with forecasts at the global, regional and country levels from 2023-2028. Our report has categorized the market based on type, offering, technology, system and end-use industry.

Breakup by Type:

Narrow/Weak Artificial Intelligence

General/Strong Artificial Intelligence

Narrow/weak artificial intelligence dominates the market

The report has provided a detailed breakup and analysis of the market based on the type. This includes narrow/weak artificial intelligence and general/strong artificial intelligence. According to the report, narrow/weak artificial intelligence represented the largest segment.

Unlike general or strong AI, which aims to replicate human-like cognitive abilities across a wide range of tasks, narrow AI is designed to excel in specific, well-defined tasks. This focused approach allows for more efficient development and deployment. Narrow AI technologies, such as machine learning and natural language processing, have demonstrated remarkable proficiency in tasks like image recognition, language translation, virtual assistants, and recommendation systems. This effectiveness has led to rapid adoption in sectors like healthcare, finance, e-commerce, and manufacturing, where the immediate benefits of automation, efficiency, and data-driven insights are highly valued. Additionally, the development of narrow AI systems often requires less complex algorithms and data, making it more accessible for businesses to implement and integrate into their existing workflows.

Breakup by Offering:

Hardware

Software

Services

Software holds the largest share in the market

A detailed breakup and analysis of the market based on the offering has also been provided in the report. This includes hardware, software, and services. According to the report, software accounted for the largest market share.

In the industry of artificial intelligence (AI), software plays a pivotal role as it serves as the foundation for developing, deploying, and managing AI applications. The accessibility of AI software frameworks, libraries, and tools has lowered the entry barriers for businesses, researchers, and developers to experiment with and integrate AI capabilities into their operations. Software offerings encompass a wide array of AI applications, from machine learning platforms to natural language processing APIs. This flexibility allows organizations to tailor AI solutions to their specific needs, whether it's optimizing supply chains, personalizing customer experiences, or automating decision-making processes. Furthermore, the cloud-based nature of many AI software solutions enables seamless scalability and updates, ensuring that businesses can stay abreast of the latest advancements without significant infrastructure investments.

Breakup by Technology:

Machine Learning

Natural Language Processing

Context-Aware Computing

Computer Vision

Others

Machine learning is the most widely used technology

The report has provided a detailed breakup and analysis of the market based on technology. This includes machine learning, natural language processing, context-aware computing, computer vision, and others. According to the report, machine learning represented the largest segment.

AI software serves as the intellectual core, housing algorithms, models, and data processing mechanisms that empower machines to simulate human cognitive functions. This software-driven approach offers unparalleled flexibility, enabling developers and businesses to tailor AI solutions to a diverse range of applications across industries. The accessibility of AI software tools and platforms has democratized AI development, allowing organizations to integrate AI functionalities into existing workflows and applications without extensive hardware investments. This accessibility, coupled with the rapid advancements in AI algorithms and techniques, ensures that software remains at the forefront of AI innovation. Moreover, the cloud-based deployment of AI software solutions facilitates scalability and updates, ensuring that businesses can stay current with the evolving AI landscape.

Breakup by System:

Intelligence Systems

Decision Support Processing

Hybrid Systems

Fuzzy Systems

Intelligence systems hold the largest share in the market

A detailed breakup and analysis of the market based on the system has also been provided in the report. This includes intelligence systems, decision support processing, hybrid systems, and fuzzy systems. According to the report, intelligence systems accounted for the largest market share.

Intelligence systems encompass a wide array of applications, ranging from virtual assistants and chatbots to advanced recommendation engines and predictive analytics platforms. These systems leverage AI algorithms to process vast amounts of data, derive meaningful insights, and facilitate informed decision-making. The appeal of intelligence systems lies in their ability to enhance efficiency, accuracy, and customer engagement across various sectors. Virtual assistants streamline customer interactions, while recommendation engines personalize user experiences, both of which contribute to improved satisfaction and retention. Furthermore, intelligence systems enable predictive analytics, enabling businesses to anticipate trends and optimize strategies.

Breakup by End Use Industry:

Healthcare

Manufacturing

Automotive

Agriculture

Retail

Security

Human Resources

Marketing

Financial Services

Transportation and Logistics

Others

Manufacturing represents the largest segment

The report has provided a detailed breakup and analysis of the market based on end use industry. This includes healthcare, manufacturing, automotive, agriculture, retail, security, human resources, marketing, financial services, transportation and logistics, and others. According to the report, manufacturing represented the largest segment.

AI technologies are revolutionizing manufacturing by enhancing operational efficiency, quality control, and product innovation. AI-driven automation optimizes production processes, leading to reduced downtime, higher productivity, and improved resource utilization. Manufacturing involves intricate tasks such as predictive maintenance, where AI algorithms analyze equipment data to predict maintenance needs, preventing costly breakdowns. Quality control benefits from AI-powered visual inspection systems that detect defects with exceptional accuracy. Additionally, AI-driven analytics aid in demand forecasting and supply chain optimization, ensuring efficient inventory management and minimizing production bottlenecks.

Breakup by Region:

North America

United States

Canada

Asia Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America exhibits a clear dominance in the market

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America was the largest market for artificial intelligence.

North America possesses a dense concentration of tech giants, research institutions, and startups, facilitating knowledge exchange and collaboration. Silicon Valley, in particular, serves as a global hub for AI research and development. The availability of venture capital funding in North America accelerates AI-driven entrepreneurship and disruptive solutions. Additionally, a skilled workforce proficient in AI technologies contributes to the region's competitive advantage. Major industries, including technology, healthcare, finance, and manufacturing, heavily invest in AI to gain a competitive edge, driving the market's growth. Moreover, North American governments promote AI research through funding and supportive policies. Collaboration between academia and industry propels AI advancements, while a receptive consumer base encourages AI adoption in products and services.

Competitive Landscape:

Major technology companies like Google, Microsoft, and IBM invest significantly in AI research and development, contributing to breakthroughs in algorithms, natural language processing, and machine learning frameworks. Additionally, tech leaders such as Facebook, OpenAI, and NVIDIA contribute to open-source AI projects, democratizing access to AI tools and accelerating development by fostering collaboration among developers. Other than this, organizations such as Apple, Amazon, and Intel acquire AI startups to harness their expertise and innovative solutions. Partnerships with research institutions and other industry players foster knowledge exchange and technology sharing. Besides this, financial institutions like JPMorgan Chase utilize AI for risk assessment, fraud detection, and trading algorithms, enhancing accuracy and decision-making.

The market research report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Amazon Web Services Inc.

Apple Inc.

Baidu

Cisco Systems Inc.

Facebook Inc.

General Electric Company

Google LLC (Alphabet Inc.)

International Business Machines

Intel Corporation

Micron Technology Inc.

Microsoft Corporation

Nvidia Corporation

Oracle Corporation

Rockwell Automation Inc.

Samsung Electronics Co. Ltd.

SAP SE

Siemens AG

Recent Developments:

Google LLC revealed the introduction of two advanced AI-powered solutions: the Target and Lead Identification Suite, along with the Multiomics Suite, designed specifically for the life sciences sector. These innovative offerings are designed to address the intricate challenges faced within the industry. The Target and Lead Identification Suite is engineered to streamline the process of identifying potential targets and leads, contributing to more efficient drug discovery and development. On the other hand, the Multiomics Suite, a sophisticated tool, facilitates comprehensive analysis by integrating diverse omics data, thereby enhancing insights into complex biological systems.

International Business Machines introduced its latest security solution known as the IBM Security QRadar Suite by integrating powerful analytics and threat detection capabilities, to fortify their security posture and safeguard sensitive data. This comprehensive suite is strategically designed to address the evolving landscape of cybersecurity challenges. With a focus on bolstering security measures, the IBM Security QRadar Suite combines advanced technologies and methodologies to provide a robust defense against modern threats. This suite encompasses a range of tools and features that enable organizations to proactively identify, analyze, and respond to potential security breaches.

Cisco Systems Inc. recently unveiled a series of AI-powered innovations for its Webex collaboration platform. These advancements represent Cisco's commitment to enhancing the collaborative experience and efficiency of its users. By integrating artificial intelligence, the Webex collaboration platform aims to elevate virtual interactions to a new level of effectiveness.

Key Questions Answered in This Report

  • 1. What was the size of the global artificial intelligence market in 2022?
  • 2. What is the expected growth rate of the global artificial intelligence market during 2023-2028?
  • 3. What are the key factors driving the global artificial intelligence market?
  • 4. What has been the impact of COVID-19 on the global artificial intelligence market?
  • 5. What is the breakup of the global artificial intelligence market based on the type?
  • 6. What is the breakup of the global artificial intelligence market based on the offering?
  • 7. What is the breakup of the global artificial intelligence market based on the technology?
  • 8. What is the breakup of the global artificial intelligence market based on the system?
  • 9. What is the breakup of the global artificial intelligence market based on the end-use industry?
  • 10. What are the key regions in the global artificial intelligence market?
  • 11. Who are the key players/companies in the global artificial intelligence market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Artificial Intelligence Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Type

  • 6.1 Narrow/Weak Artificial Intelligence
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 General/Strong Artificial Intelligence
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Offering

  • 7.1 Hardware
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Software
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Services
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast

8 Market Breakup by Technology

  • 8.1 Machine Learning
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Natural Language Processing
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Context-Aware Computing
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Computer Vision
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Others
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast

9 Market Breakup by System

  • 9.1 Intelligence Systems
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Decision Support Processing
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Hybrid Systems
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Fuzzy Systems
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast

10 Market Breakup by End-Use Industry

  • 10.1 Healthcare
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 Manufacturing
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast
  • 10.3 Automotive
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast
  • 10.4 Agriculture
    • 10.4.1 Market Trends
    • 10.4.2 Market Forecast
  • 10.5 Retail
    • 10.5.1 Market Trends
    • 10.5.2 Market Forecast
  • 10.6 Security
    • 10.6.1 Market Trends
    • 10.6.2 Market Forecast
  • 10.7 Human Resources
    • 10.7.1 Market Trends
    • 10.7.2 Market Forecast
  • 10.8 Marketing
    • 10.8.1 Market Trends
    • 10.8.2 Market Forecast
  • 10.9 Financial Services
    • 10.9.1 Market Trends
    • 10.9.2 Market Forecast
  • 10.10 Transportation and Logistics
    • 10.10.1 Market Trends
    • 10.10.2 Market Forecast
  • 10.11 Others
    • 10.11.1 Market Trends
    • 10.11.2 Market Forecast

11 Market Breakup by Region

  • 11.1 North America
    • 11.1.1 United States
      • 11.1.1.1 Market Trends
      • 11.1.1.2 Market Forecast
    • 11.1.2 Canada
      • 11.1.2.1 Market Trends
      • 11.1.2.2 Market Forecast
  • 11.2 Asia Pacific
    • 11.2.1 China
      • 11.2.1.1 Market Trends
      • 11.2.1.2 Market Forecast
    • 11.2.2 Japan
      • 11.2.2.1 Market Trends
      • 11.2.2.2 Market Forecast
    • 11.2.3 India
      • 11.2.3.1 Market Trends
      • 11.2.3.2 Market Forecast
    • 11.2.4 South Korea
      • 11.2.4.1 Market Trends
      • 11.2.4.2 Market Forecast
    • 11.2.5 Australia
      • 11.2.5.1 Market Trends
      • 11.2.5.2 Market Forecast
    • 11.2.6 Indonesia
      • 11.2.6.1 Market Trends
      • 11.2.6.2 Market Forecast
    • 11.2.7 Others
      • 11.2.7.1 Market Trends
      • 11.2.7.2 Market Forecast
  • 11.3 Europe
    • 11.3.1 Germany
      • 11.3.1.1 Market Trends
      • 11.3.1.2 Market Forecast
    • 11.3.2 France
      • 11.3.2.1 Market Trends
      • 11.3.2.2 Market Forecast
    • 11.3.3 United Kingdom
      • 11.3.3.1 Market Trends
      • 11.3.3.2 Market Forecast
    • 11.3.4 Italy
      • 11.3.4.1 Market Trends
      • 11.3.4.2 Market Forecast
    • 11.3.5 Spain
      • 11.3.5.1 Market Trends
      • 11.3.5.2 Market Forecast
    • 11.3.6 Russia
      • 11.3.6.1 Market Trends
      • 11.3.6.2 Market Forecast
    • 11.3.7 Others
      • 11.3.7.1 Market Trends
      • 11.3.7.2 Market Forecast
  • 11.4 Latin America
    • 11.4.1 Brazil
      • 11.4.1.1 Market Trends
      • 11.4.1.2 Market Forecast
    • 11.4.2 Mexico
      • 11.4.2.1 Market Trends
      • 11.4.2.2 Market Forecast
    • 11.4.3 Others
      • 11.4.3.1 Market Trends
      • 11.4.3.2 Market Forecast
  • 11.5 Middle East and Africa
    • 11.5.1 Market Trends
    • 11.5.2 Market Breakup by Country
    • 11.5.3 Market Forecast

12 SWOT Analysis

  • 12.1 Overview
  • 12.2 Strengths
  • 12.3 Weaknesses
  • 12.4 Opportunities
  • 12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

  • 14.1 Overview
  • 14.2 Bargaining Power of Buyers
  • 14.3 Bargaining Power of Suppliers
  • 14.4 Degree of Competition
  • 14.5 Threat of New Entrants
  • 14.6 Threat of Substitutes

15 Price Indicators

16 Competitive Landscape

  • 16.1 Market Structure
  • 16.2 Key Players
  • 16.3 Profiles of Key Players
    • 16.3.1 Amazon Web Services Inc.
      • 16.3.1.1 Company Overview
      • 16.3.1.2 Product Portfolio
    • 16.3.2 Apple Inc.
      • 16.3.2.1 Company Overview
      • 16.3.2.2 Product Portfolio
      • 16.3.2.3 Financials
      • 16.3.2.4 SWOT Analysis
    • 16.3.3 Baidu
      • 16.3.3.1 Company Overview
      • 16.3.3.2 Product Portfolio
    • 16.3.4 Cisco Systems Inc.
      • 16.3.4.1 Company Overview
      • 16.3.4.2 Product Portfolio
      • 16.3.4.3 Financials
      • 16.3.4.4 SWOT Analysis
    • 16.3.5 Facebook Inc.
      • 16.3.5.1 Company Overview
      • 16.3.5.2 Product Portfolio
      • 16.3.5.3 Financials
      • 16.3.5.4 SWOT Analysis
    • 16.3.6 General Electric Company
      • 16.3.6.1 Company Overview
      • 16.3.6.2 Product Portfolio
      • 16.3.6.3 Financials
      • 16.3.6.4 SWOT Analysis
    • 16.3.7 Google LLC (Alphabet Inc.)
      • 16.3.7.1 Company Overview
      • 16.3.7.2 Product Portfolio
      • 16.3.7.3 SWOT Analysis
    • 16.3.8 International Business Machines
      • 16.3.8.1 Company Overview
      • 16.3.8.2 Product Portfolio
      • 16.3.8.3 Financials
      • 16.3.8.4 SWOT Analysis
    • 16.3.9 Intel Corporation
      • 16.3.9.1 Company Overview
      • 16.3.9.2 Product Portfolio
      • 16.3.9.3 Financials
      • 16.3.9.4 SWOT Analysis
    • 16.3.10 Micron Technology Inc.
      • 16.3.10.1 Company Overview
      • 16.3.10.2 Product Portfolio
      • 16.3.10.3 Financials
      • 16.3.10.4 SWOT Analysis
    • 16.3.11 Microsoft Corporation
      • 16.3.11.1 Company Overview
      • 16.3.11.2 Product Portfolio
      • 16.3.11.3 Financials
      • 16.3.11.4 SWOT Analysis
    • 16.3.12 Nvidia Corporation
      • 16.3.12.1 Company Overview
      • 16.3.12.2 Product Portfolio
      • 16.3.12.3 Financials
      • 16.3.12.4 SWOT Analysis
    • 16.3.13 Oracle Corporation
      • 16.3.13.1 Company Overview
      • 16.3.13.2 Product Portfolio
      • 16.3.13.3 Financials
      • 16.3.13.4 SWOT Analysis
    • 16.3.14 Rockwell Automation Inc.
      • 16.3.14.1 Company Overview
      • 16.3.14.2 Product Portfolio
      • 16.3.14.3 Financials
      • 16.3.14.4 SWOT Analysis
    • 16.3.15 Samsung Electronics Co. Ltd.
      • 16.3.15.1 Company Overview
      • 16.3.15.2 Product Portfolio
      • 16.3.15.3 Financials
      • 16.3.15.4 SWOT Analysis
    • 16.3.16 SAP SE
      • 16.3.16.1 Company Overview
      • 16.3.16.2 Product Portfolio
      • 16.3.16.3 Financials
      • 16.3.16.4 SWOT Analysis
    • 16.3.17 Siemens AG
      • 16.3.17.1 Company Overview
      • 16.3.17.2 Product Portfolio
      • 16.3.17.3 Financials
      • 16.3.17.4 SWOT Analysis

List of Figures

  • Figure 1: Global: Artificial Intelligence Market: Major Drivers and Challenges
  • Figure 2: Global: Artificial Intelligence Market: Sales Value (in Billion US$), 2017-2022
  • Figure 3: Global: Artificial Intelligence Market: Breakup by Type (in %), 2022
  • Figure 4: Global: Artificial Intelligence Market: Breakup by Offering (in %), 2022
  • Figure 5: Global: Artificial Intelligence Market: Breakup by Technology (in %), 2022
  • Figure 6: Global: Artificial Intelligence Market: Breakup by System (in %), 2022
  • Figure 7: Global: Artificial Intelligence Market: Breakup by End-Use Industry (in %), 2022
  • Figure 8: Global: Artificial Intelligence Market: Breakup by Region (in %), 2022
  • Figure 9: Global: Artificial Intelligence Market Forecast: Sales Value (in Billion US$), 2023-2028
  • Figure 10: Global: Artificial Intelligence (Narrow/Weak Artificial Intelligence) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 11: Global: Artificial Intelligence (Narrow/Weak Artificial Intelligence) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 12: Global: Artificial Intelligence (General/Strong Artificial Intelligence) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 13: Global: Artificial Intelligence (General/Strong Artificial Intelligence) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 14: Global: Artificial Intelligence (Hardware) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 15: Global: Artificial Intelligence (Hardware) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 16: Global: Artificial Intelligence (Software) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 17: Global: Artificial Intelligence (Software) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 18: Global: Artificial Intelligence (Services) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 19: Global: Artificial Intelligence (Services) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 20: Global: Artificial Intelligence (Machine Learning) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 21: Global: Artificial Intelligence (Machine Learning) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 22: Global: Artificial Intelligence (Natural Language Processing) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 23: Global: Artificial Intelligence (Natural Language Processing) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 24: Global: Artificial Intelligence (Context-Aware Computing) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 25: Global: Artificial Intelligence (Context-Aware Computing) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 26: Global: Artificial Intelligence (Computer Vision) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 27: Global: Artificial Intelligence (Computer Vision) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 28: Global: Artificial Intelligence (Other Technologies) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 29: Global: Artificial Intelligence (Other Technologies) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 30: Global: Artificial Intelligence (Intelligence Systems) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 31: Global: Artificial Intelligence (Intelligence Systems) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 32: Global: Artificial Intelligence (Decision Support Processing) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 33: Global: Artificial Intelligence (Decision Support Processing) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 34: Global: Artificial Intelligence (Hybrid Systems) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 35: Global: Artificial Intelligence (Hybrid Systems) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 36: Global: Artificial Intelligence (Fuzzy Systems) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 37: Global: Artificial Intelligence (Fuzzy Systems) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 38: Global: Artificial Intelligence (Healthcare) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 39: Global: Artificial Intelligence (Healthcare) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 40: Global: Artificial Intelligence (Manufacturing) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 41: Global: Artificial Intelligence (Manufacturing) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 42: Global: Artificial Intelligence (Automotive) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 43: Global: Artificial Intelligence (Automotive) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 44: Global: Artificial Intelligence (Agriculture) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 45: Global: Artificial Intelligence (Agriculture) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 46: Global: Artificial Intelligence (Retail) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 47: Global: Artificial Intelligence (Retail) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 48: Global: Artificial Intelligence (Security) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 49: Global: Artificial Intelligence (Security) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 50: Global: Artificial Intelligence (Human Resources) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 51: Global: Artificial Intelligence (Human Resources) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 52: Global: Artificial Intelligence (Marketing) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 53: Global: Artificial Intelligence (Marketing) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 54: Global: Artificial Intelligence (Financial Services) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 55: Global: Artificial Intelligence (Financial Services) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 56: Global: Artificial Intelligence (Transportation and Logistics) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 57: Global: Artificial Intelligence (Transportation and Logistics) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 58: Global: Artificial Intelligence (Others) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 59: Global: Artificial Intelligence (Others) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 60: North America: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 61: North America: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 62: United States: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 63: United States: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 64: Canada: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 65: Canada: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 66: Asia Pacific: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 67: Asia Pacific: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 68: China: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 69: China: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 70: Japan: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 71: Japan: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 72: India: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 73: India: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 74: South Korea: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 75: South Korea: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 76: Australia: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 77: Australia: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 78: Indonesia: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 79: Indonesia: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 80: Others: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 81: Others: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 82: Europe: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 83: Europe: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 84: Germany: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 85: Germany: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 86: France: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 87: France: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 88: United Kingdom: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 89: United Kingdom: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 90: Italy: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 91: Italy: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 92: Spain: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 93: Spain: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 94: Russia: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 95: Russia: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 96: Others: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 97: Others: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 98: Latin America: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 99: Latin America: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 100: Brazil: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 101: Brazil: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 102: Mexico: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 103: Mexico: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 104: Others: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 105: Others: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 106: Middle East and Africa: Artificial Intelligence Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 107: Middle East and Africa: Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 108: Global: Artificial Intelligence Industry: SWOT Analysis
  • Figure 109: Global: Artificial Intelligence Industry: Value Chain Analysis
  • Figure 110: Global: Artificial Intelligence Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Artificial Intelligence Market: Key Industry Highlights, 2022 and 2028
  • Table 2: Global: Artificial Intelligence Market Forecast: Breakup by Type (in Million US$), 2023-2028
  • Table 3: Global: Artificial Intelligence Market Forecast: Breakup by Offering (in Million US$), 2023-2028
  • Table 4: Global: Artificial Intelligence Market Forecast: Breakup by Technology (in Million US$), 2023-2028
  • Table 5: Global: Artificial Intelligence Market Forecast: Breakup by System (in Million US$), 2023-2028
  • Table 6: Global: Artificial Intelligence Market Forecast: Breakup by End-Use Industry (in Million US$), 2023-2028
  • Table 7: Global: Artificial Intelligence Market Forecast: Breakup by Region (in Million US$), 2023-2028
  • Table 8: Global: Artificial Intelligence Market Structure
  • Table 9: Global: Artificial Intelligence Market: Key Players