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1390902

2023-2028 年按類型、產品、技術、系統、最終用途產業和地區分類的人工智慧市場報告

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個工作天內

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概要

2022年全球人工智慧市場規模達到709億美元。展望未來， IMARC Group預計到2028年市場規模將達到3,504億美元，2022-2028年複合年成長率（CAGR）為30.51%。基於雲端的解決方案的日益普及、自動駕駛汽車 (AV) 銷售的不斷成長以及慢性病的日益流行是推動市場發展的一些關鍵因素。

人工智慧（AI）是指機器，特別是電腦系統對人類智慧過程的模擬。它涉及創建演算法和系統，使機器能夠執行通常需要人類認知功能的任務，例如學習、推理、解決問題和決策。人工智慧涵蓋廣泛的技術，包括機器學習、自然語言處理和電腦視覺。機器學習是人工智慧的一個子集，涉及演算法的開發，使電腦無需顯式編程即可根據資料進行學習並做出預測或決策。自然語言處理使機器能夠理解和解釋人類語言，促進人與電腦之間的溝通。此外，電腦視覺使機器能夠解釋和分析來自世界的視覺訊息，類似於人類感知和理解圖像的方式。

資料生成的指數級成長和高效能運算資源的可用性使人工智慧系統能夠處理和分析海量資料集，從而促進了先進人工智慧演算法和模型的發展。此外，人工智慧驅動的自動化有潛力簡化從製造到物流等各個領域的營運並提高效率。企業正在利用人工智慧來最佳化流程、降低成本並提高整體生產力。除此之外，人工智慧驅動的演算法使企業能夠為客戶提供個人化體驗，從而提高參與度和滿意度。推薦系​​統、聊天機器人和虛擬助理使用人工智慧來了解客戶偏好並提供量身定做的解決方案。除此之外，人工智慧還透過幫助診斷、藥物發現和治療開發來徹底改變醫療保健。醫學影像分析、預測分析和基因組學研究正受益於人工智慧驅動的見解。與此相適應，智慧型裝置和物聯網 (IoT) 正在將人工智慧整合到語音識別、臉部辨識和預測性維護中，促進人工智慧在消費性電子產品中的發展。此外，人工智慧正在透過演算法交易、詐欺偵測和風險評估重塑金融業。機器學習演算法分析市場趨勢並預測投資機會。此外，機器學習技術特別是深度學習的突破增強了人工智慧系統在影像辨識、自然語言理解和預測分析等任務中的能力，從而在各行業中得到更廣泛的應用。

人工智慧市場趨勢/促進因素：

數據擴散和處理能力

數位時代產生了前所未有的大量訊息，從客戶行為資料到物聯網設備的感測器資料。這些豐富的資料是訓練人工智慧演算法和模型的基礎。此外，高效能運算資源（包括 GPU 和專用人工智慧硬體）的可用性使研究人員和開發人員能夠以驚人的速度處理和分析這些龐大的資料集。資料可用性和處理能力之間的協同作用釋放了開發複雜人工智慧系統的潛力，該系統能夠識別模式、做出預測並得出以前無法獲得的見解。

機器學習的進步

受神經網路啟發的深度學習演算法在影像辨識、自然語言理解和語音合成等任務中展現了卓越的表現。這些演算法擅長從原始資料中自動學習分層特徵，使它們能夠以極高的準確性執行複雜的任務。遷移學習是深度學習中的一種技術，允許針對一項任務預先訓練的模型針對另一項任務進行微調，從而減少對大量標記資料的需求。這些進步降低了人工智慧開發的進入門檻，擴大了其在各個領域的適用性，推動人工智慧解決方案融入日常技術和流程。

自動化和效率

由機器人流程自動化 (RPA) 和自主系統等人工智慧技術支援的自動化正在消除先前消耗寶貴人力資源的重複性和平凡任務。這種轉變使人類工作者能夠專注於需要創造力、批判性思維和解決問題的更高價值的任務。製造、物流和客戶服務等行業正在部署人工智慧驅動的機器人和系統來處理從庫存管理到客戶互動等各種任務。其結果不僅提高了生產力，而且提高了準確性和一致性。企業正在認知到人工智慧改變其營運的潛力，從而導致廣泛採用自動化解決方案，增強人類能力並推動業務成長。

人工智慧產業細分：

IMARC Group提供了全球人工智慧市場報告各細分市場主要趨勢的分析，以及 2023-2028 年全球、區域和國家層面的預測。我們的報告根據類型、產品、技術、系統和最終用途行業對市場進行了分類。

按類型分類：

狹義/弱人工智慧

通用/強人工智慧

狹義/弱人工智慧主導市場

該報告根據類型提供了詳細的市場細分和分析。這包括狹義/弱人工智慧和通用/強人工智慧。根據該報告，狹義/弱人工智慧代表了最大的部分。

通用人工智慧或強人工智慧的目標是在廣泛的任務中複製類似人類的認知能力，而狹義人工智慧則旨在在特定的、明確定義的任務中表現出色。這種集中的方法可以實現更有效率的開發和部署。機器學習和自然語言處理等狹義人工智慧技術在圖像辨識、語言翻譯、虛擬助理和推薦系統等任務中展現了卓越的熟練程度。這種有效性導致醫療保健、金融、電子商務和製造等行業快速採用，這些行業高度重視自動化、效率和數據驅動洞察力的直接好處。此外，狹義人工智慧系統的開發通常需要較不複雜的演算法和資料，使企業更容易實施和整合到現有的工作流程中。

按產品分類：

硬體

軟體

服務

軟體在市場上佔有最大佔有率

報告還提供了基於此次發行的詳細市場細分和分析。這包括硬體、軟體和服務。報告顯示，軟體佔據了最大的市場佔有率。

在人工智慧（AI）產業中，軟體發揮著至關重要的作用，因為它是開發、部署和管理人工智慧應用程式的基礎。人工智慧軟體框架、函式庫和工具的可訪問性降低了企業、研究人員和開發人員嘗試人工智慧功能並將其整合到其營運中的准入門檻。軟體產品涵蓋廣泛的人工智慧應用程式，從機器學習平台到自然語言處理 API。這種靈活性使組織能夠根據其特定需求客製化人工智慧解決方案，無論是最佳化供應鏈、個人化客戶體驗還是自動化決策流程。此外，許多人工智慧軟體解決方案基於雲端的特性可以實現無縫擴展和更新，確保企業無需大量基礎設施投資即可跟上最新進展。

按技術分類：

機器學習

自然語言處理

上下文感知計算

電腦視覺

其他

機器學習是應用最廣泛的技術

該報告根據技術對市場進行了詳細的細分和分析。這包括機器學習、自然語言處理、上下文感知計算、電腦視覺等。根據該報告，機器學習代表了最大的部分。

人工智慧軟體作為智慧核心，包含演算法、模型和資料處理機制，使機器能夠模擬人類的認知功能。這種軟體驅動的方法提供了無與倫比的靈活性，使開發人員和企業能夠針對跨行業的各種應用程式客製化人工智慧解決方案。人工智慧軟體工具和平台的可訪問性使人工智慧開發民主化，使組織能夠將人工智慧功能整合到現有的工作流程和應用程式中，而無需大量的硬體投資。這種可訪問性，加上人工智慧演算法和技術的快速進步，確保軟體始終處於人工智慧創新的前沿。此外，基於雲端的人工智慧軟體解決方案部署有利於可擴展性和更新，確保企業能夠跟上不斷發展的人工智慧環境。

按系統分類：

智慧系統

決策支援處理

混合系統

模糊系統

智慧系統佔據最大市場佔有率

報告還提供了基於該系統的詳細市場細分和分析。這包括智慧型系統、決策支援處理、混合系統和模糊系統。報告稱，智慧系統佔據最大的市場佔有率。

智慧型系統涵蓋廣泛的應用程式，從虛擬助理和聊天機器人到高級推薦引擎和預測分析平台。這些系統利用人工智慧演算法來處理大量資料，得出有意義的見解，並促進明智的決策。智慧型系統的吸引力在於它們能夠提高各部門的效率、準確性和客戶參與度。虛擬助理簡化了客戶交互，而推薦引擎則個性化了用戶體驗，這兩者都有助於提高滿意度和保留率。此外，智慧系統支援預測分析，使企業能夠預測趨勢並最佳化策略。

依最終用途行業細分：

衛生保健

製造業

汽車

農業

零售

安全

人力資源

行銷

金融服務

運輸與物流

其他

製造業是最大的細分市場

該報告根據最終用途行業提供了詳細的市場細分和分析。這包括醫療保健、製造、汽車、農業、零售、安全、人力資源、行銷、金融服務、運輸和物流等。報告稱，製造業佔最大部分。

人工智慧技術透過提高營運效率、品質控制和產品創新正在徹底改變製造業。人工智慧驅動的自動化可最佳化生產流程，進而減少停機時間、提高生產力並提高資源利用率。製造涉及複雜的任務，例如預測性維護，其中人工智慧演算法分析設備資料以預測維護需求，防止代價高昂的故障。品質控制受益於人工智慧驅動的視覺檢測系統，能夠以極高的精度檢測缺陷。此外，人工智慧驅動的分析有助於需求預測和供應鏈最佳化，確保高效的庫存管理並最大限度地減少生產瓶頸。

按地區分類：

北美洲

美國

加拿大

亞太地區

中國

日本

印度

韓國

澳洲

印尼

其他

歐洲

德國

法國

英國

義大利

西班牙

俄羅斯

其他

拉丁美洲

巴西

墨西哥

其他

中東和非洲

北美在市場上表現出明顯的主導地位

該報告還對所有主要區域市場進行了全面分析，其中包括北美（美國和加拿大）；歐洲（德國、法國、英國、義大利、西班牙、俄羅斯等）；亞太地區（中國、日本、印度、韓國、澳洲、印尼等）；拉丁美洲（巴西、墨西哥等）；以及中東和非洲。報告稱，北美是最大的人工智慧市場。

北美擁有密集的科技巨頭、研究機構和新創企業，促進了知識交流和合作。尤其是矽谷，它是人工智慧研發的全球中心。北美創投資金的可用性加速了人工智慧驅動的創業和顛覆性解決方案。此外，精通人工智慧技術的熟練勞動力也有助於該地區的競爭優勢。科技、醫療保健、金融和製造業等主要產業都大力投資人工智慧以獲得競爭優勢，推動市場成長。此外，北美政府透過資金和支援政策來促進人工智慧研究。學術界和工業界之間的合作推動了人工智慧的進步，而樂於接受的消費者群體則鼓勵人工智慧在產品和服務中的採用。

競爭格局：

谷歌、微軟、IBM等主要科技公司在人工智慧研發上投入巨資，為演算法、自然語言處理和機器學習框架的突破做出了貢獻。此外，Facebook、OpenAI 和 NVIDIA 等技術領導者為開源 AI 專案做出了貢獻，實現了 AI 工具的民主化，並透過促進開發人員之間的協作來加速開發。除此之外，蘋果、亞馬遜和英特爾等組織收購人工智慧新創公司，以利用他們的專業知識和創新解決方案。與研究機構和其他行業參與者的合作促進知識交流和技術共享。除此之外，摩根大通等金融機構利用人工智慧進行風險評估、詐欺偵測和交易演算法，進而提高準確性和決策能力。

市場研究報告對市場競爭格局進行了全面分析。也提供了所有主要公司的詳細資料。市場上的一些主要參與者包括：

亞馬遜網路服務公司

蘋果公司。

百度

思科系統公司

臉書公司

通用電氣公司

谷歌有限責任公司（Alphabet Inc.）

國際商業機器

英特爾公司

美光科技公司

微軟公司

英偉達公司

甲骨文公司

羅克韋爾自動化公司

三星電子有限公司

SAP系統公司

西門子公司

最近的發展：

谷歌有限責任公司推出了兩種先進的人工智慧解決方案：目標和先導物識別套件以及專為生命科學領域設計的多組學套件。這些創新產品旨在解決產業內面臨的複雜挑戰。標靶和先導化合物識別套件旨在簡化識別潛在標靶和先導化合物的過程，有助於更高效的藥物發現和開發。另一方面，Multiomics Suite是一種複雜的工具，透過整合不同的組學資料來促進綜合分析，從而增強對複雜生物系統的洞察。

International Business Machines 推出了名為 IBM Security QRadar Suite 的最新安全解決方案，該解決方案整合了強大的分析和威脅偵測功能，以強化其安全態勢並保護敏感資料。該綜合套件經過戰略設計，旨在應對不斷變化的網路安全挑戰。 IBM Security QRadar Suite 專注於加強安全措施，結合了先進的技術和方法，提供針對現代威脅的強大防禦。該套件包含一系列工具和功能，使組織能夠主動識別、分析和回應潛在的安全漏洞。

思科系統公司最近為其 Webex 協作平台推出了一系列由人工智慧驅動的創新產品。這些進步體現了思科對增強使用者協作體驗和效率的承諾。透過整合人工智慧，Webex 協作平台旨在將虛擬互動的有效性提升到一個新的水平。

本報告回答的關鍵問題

  • 2022年全球人工智慧市場規模有多大
  • 2023-2028年全球人工智慧市場預計成長率是多少
  • 推動全球人工智慧市場的關鍵因素有哪些
  • COVID-19 對全球人工智慧市場有何影響
  • 全球人工智慧市場按類型分類是怎樣的
  • 基於產品的全球人工智慧市場的細分是什麼
  • 基於技術的全球人工智慧市場區隔如何
  • 基於系統的全球人工智慧市場區隔是怎樣的
  • 基於終端用途產業的全球人工智慧市場細分是怎樣的
  • 10.全球人工智慧市場的重點區域有哪些？
  • 11. 全球人工智慧市場的主要參與者/公司有哪些？

本報告回答的關鍵問題

  • 2022年全球人工智慧市場規模有多大？
  • 2023-2028年全球人工智慧市場的預期成長率是多少？
  • 推動全球人工智慧市場的關鍵因素是什麼？
  • COVID-19 對全球人工智慧市場有何影響？
  • 全球人工智慧市場按類型分類是怎樣的？
  • 根據該產品，全球人工智慧市場的詳細情形如何？
  • 基於技術的全球人工智慧市場的分化是什麼？
  • 基於系統的全球人工智慧市場的分化是什麼？
  • 基於終端用途產業的全球人工智慧市場詳細情形如何？
  • 全球人工智慧市場的重點區域有哪些？
  • 全球人工智慧市場的主要參與者/公司有哪些？

目錄

第 1 章：前言

第 2 章：範圍與方法

  • 研究目的
  • 利害關係人
  • 資料來源
    • 主要資源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章：執行摘要

第 4 章：簡介

  • 概述
  • 主要行業趨勢

第 5 章：全球人工智慧市場

  • 市場概況
  • 市場業績
  • COVID-19 的影響
  • 市場預測

第 6 章：按類型分類的市場細分

  • 狹義/弱人工智慧
    • 市場走向
    • 市場預測
  • 通用/強人工智慧
    • 市場走向
    • 市場預測

第 7 章：依產品分類市場

  • 硬體
    • 市場走向
    • 市場預測
  • 軟體
    • 市場走向
    • 市場預測
  • 服務
    • 市場走向
    • 市場預測

第 8 章：依科技分類的市場

  • 機器學習
    • 市場走向
    • 市場預測
  • 自然語言處理
    • 市場走向
    • 市場預測
  • 上下文感知計算
    • 市場走向
    • 市場預測
  • 電腦視覺
    • 市場走向
    • 市場預測
  • 其他
    • 市場走向
    • 市場預測

第 9 章：按系統分類的市場區隔

  • 智慧系統
    • 市場走向
    • 市場預測
  • 決策支援處理
    • 市場走向
    • 市場預測
  • 混合系統
    • 市場走向
    • 市場預測
  • 模糊系統
    • 市場走向
    • 市場預測

第 10 章：依最終用途產業分類的市場細分

  • 衛生保健
    • 市場走向
    • 市場預測
  • 製造業
    • 市場走向
    • 市場預測
  • 汽車
    • 市場走向
    • 市場預測
  • 農業
    • 市場走向
    • 市場預測
  • 零售
    • 市場走向
    • 市場預測
  • 安全
    • 市場走向
    • 市場預測
  • 人力資源
    • 市場走向
    • 市場預測
  • 行銷
    • 市場走向
    • 市場預測
  • 金融服務
    • 市場走向
    • 市場預測
  • 運輸與物流
    • 市場走向
    • 市場預測
  • 其他
    • 市場走向
    • 市場預測

第 11 章：按地區分類的市場細分

  • 北美洲
    • 美國
      • 市場走向
      • 市場預測
    • 加拿大
      • 市場走向
      • 市場預測
  • 亞太地區
    • 中國
      • 市場走向
      • 市場預測
    • 日本
      • 市場走向
      • 市場預測
    • 印度
      • 市場走向
      • 市場預測
    • 韓國
      • 市場走向
      • 市場預測
    • 澳洲
      • 市場走向
      • 市場預測
    • 印尼
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 歐洲
    • 德國
      • 市場走向
      • 市場預測
    • 法國
      • 市場走向
      • 市場預測
    • 英國
      • 市場走向
      • 市場預測
    • 義大利
      • 市場走向
      • 市場預測
    • 西班牙
      • 市場走向
      • 市場預測
    • 俄羅斯
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 拉丁美洲
    • 巴西
      • 市場走向
      • 市場預測
    • 墨西哥
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 中東和非洲
    • 市場走向
    • 按國家/地區分類的市場細分
    • 市場預測

第 12 章：SWOT 分析

  • 概述
  • 優勢
  • 弱點
  • 機會
  • 威脅

第 13 章：價值鏈分析

第 14 章：波特五力分析

  • 概述
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

第 15 章：價格指標

第16章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • 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