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市場調查報告書
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1503311

2030 年人工智慧市場預測：按類型、系統類型、產品、部署模式、業務功能、技術、最終用戶和地區進行的全球分析

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

價格

根據Stratistics MRC的數據，2024年全球人工智慧市場規模為6,648.8億美元，預計2030年將達到20.8667億美元，複合年成長率為21.0%。

在像人類一樣思考和行動的機器中模擬人類智慧被稱為人工智慧。這包括廣泛的活動，例如學習、思考、解決問題、感知和語言理解。借助大規模資料處理演算法和模型，人工智慧系統具有識別模式、做出決策並隨著時間的推移而發展的能力。此外，人工智慧正廣泛應用於醫療、金融、日常生活等各行業。

根據人工智慧促進協會（AAAI）的定義，人工智慧是對思維和智慧行為的底層機制的科學理解，並在機器中實現。

改進的資料可訪問性

社交媒體平台、物聯網設備、感測器和線上交易等各種來源的資料呈指數級成長，使人工智慧系統能夠存取大量資料。如此大量的資料使人工智慧模型能夠準確地了解趨勢、預測結果並得出結論。結構化和非結構化資料的現成可用性正在加速機器學習和資料分析資料的發展。此外，這有助於提取有價值的資訊並加速全面的決策過程。

缺乏技術純熟勞工

對人才的需求並沒有跟上人工智慧產業的爆炸性擴張。人工智慧、機器學習和資料科學專家的嚴重短缺使得組織很難找到和留住人才。人工智慧技術的複雜性和動態性需要不斷學習和適應，加劇了這種人才缺口。此外，由於培訓現有員工和僱用新員工所需的時間和費用，許多公司嚴重阻礙了人工智慧的採用和可擴展性。

加強醫療保健

人工智慧有能力透過增強患者護理、治療策略和診斷來徹底改變醫療保健。由人工智慧驅動的工具可以分析醫學影像、發現異常並幫助早期診斷神經系統疾病和癌症等疾病。使用預測分析預測患者結果可以提供主動護理並減少再入院率。此外，人工智慧驅動的個人化醫療可以根據每位患者獨特的基因譜定製藥物，提高療效並減少副作用。

道德和倫理問題

人工智慧的使用引發了許多倫理和道德問題，特別是與隱私、自主性和課責相關的問題。人工智慧系統通常處理包含個人資訊的龐大資料集，如果管理不當，可能會導致隱私侵犯。人工智慧自行做出決策的潛力也引發了一個問題：誰要為錯誤和傷害負責。此外，很難確定誰對錯誤負責，例如在駕駛人汽車或使用人工智慧進行醫療診斷的情況下。

COVID-19 的影響：

隨著企業尋求解決危機帶來的障礙，COVID-19 大流行加速了人工智慧在許多行業的採用。人工智慧正在幫助醫療產業預測疫情、加速疫苗開發並充分利用可用資源。人工智慧透過聊天機器人和虛擬助理幫助企業改善客戶服務，透過複雜的通訊工具實現遠端工作，並管理供應鏈中斷。此外，疫情也引發了資料分析、自動化和人工智慧主導的非接觸式互動解決方案的創新，以提高彈性和業務效率。

預計雲部分在預測期內將是最大的

在人工智慧領域，雲端細分市場佔有最大的市場佔有率。雲端的可擴展性、可承受性和靈活性使企業能夠部署人工智慧解決方案，而無需領先大量基礎設施投資，這正在推動市場擴張。由於複雜的演算法、強大的運算能力以及對大量資料集的輕鬆訪問，雲端基礎的人工智慧服務使企業能夠快速創新並輕鬆實施人工智慧應用程式。此外，雲端平台提供強大的安全性、合規性和維護能力，減少了企業自行處理這些方面的需要。

人工智慧企業使用案例市場預計在預測期內複合年成長率最高

人工智慧市場複合年成長率最高的預計將出現在人工智慧企業用例領域。此細分市場涵蓋各行業的廣泛應用，利用人工智慧來提高競爭、效率和創新。公司擴大將人工智慧用於供應鏈最佳化、詐欺檢測、機器人客戶支援和預測性維護等應用。此外，機器學習、自然語言處理和電腦視覺方面的技術發展正在擴大人工智慧在商業中應用的範圍和影響。

比最大的地區

北美是全球人工智慧市場佔有率最大的地區。該地區擁有各行業的高採用率、強大的研發力度以及重要的人工智慧技術供應商。人工智慧領域尤其以美國為主，矽谷是人工智慧新興企業的創新和資金籌措中心。 Google、微軟和IBM等總部位於北美的大型科技公司正大力投資人工智慧研發。此外，北美在人工智慧市場上處於領先地位，擁有政府支持、強大的學術機構和完善的創投生態系統。

複合年成長率最高的地區：

歐洲人工智慧市場預計將以全球最高的複合年成長率成長。由於歐洲對研究和開發的重視、強力的法規結構以及對人工智慧技術投資的增加，歐洲處於有利位置，可以看到人工智慧採用的大幅成長。英國、德國、法國和瑞典等國家在政府計畫、學術機構和產業合作的支持下，在人工智慧創新和投資方面處於領先地位。此外，歐盟支持創新和數位轉型的人工智慧策略和計畫正在擴大該地區的人工智慧市場。

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  • 公司簡介
    • 其他市場參與企業的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計/預測/複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 按產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行概述

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 介紹
  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

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

第5章全球人工智慧市場：按類型

  • 介紹
  • 通用/強人工智慧
  • 狹義/弱人工智慧
  • 其他

第6章全球人工智慧市場：按系統類型

  • 介紹
  • 人工神經網路 (ANN)
  • 數位個人助理
  • 汽車機器人系統
  • 模糊系統
  • 嵌入式系統
  • 情報系統
  • 決策支援處理
  • 機器人整合生產系統
  • 混合系統
  • 其他系統類型

第7章 全球人工智慧市場：依產品分類

  • 介紹
  • 軟體
    • 人工智慧解決方案
    • 機器學習框架
    • 應用程式介面（API）
    • 人工智慧平台
  • 硬體
    • 感應器
    • 網路硬體
    • 處理器
      • 現場可程式閘陣列
      • 微處理單元
      • 圖形處理單元
    • 人工智慧晶片組
    • 記憶單元
    • 儲存設備
  • 服務
    • 管理
      • 安裝
      • 訓練
    • 專業的
      • 人工智慧技術諮詢
      • 支援與維護
      • 部署與系統整合

第8章全球人工智慧市場：按部署模式

  • 介紹
  • 雲
  • 本地

第9章全球人工智慧市場：按業務功能分類

  • 介紹
  • 行銷與銷售
  • 人力資源
  • 財會
  • 財富管理
  • 法律事務
  • 安全
  • 預測和建模
  • 人工智慧企業用例

第10章全球人工智慧市場：依技術分類

  • 介紹
  • 查詢方式
  • 自然語言生成
  • 語音辨識（語音分析）
  • 文字分析
  • 電腦（機器）視覺
  • 進階分析
  • 適應性學習
  • 上下文感知計算
  • 機器學習
    • 通用對抗網路（GANS）
    • 強化學習
    • 監督學習
    • 深度學習
    • 無監督學習
  • 自然語言處理（NLP）
  • 手勢控制
  • 影像處理
  • 其他

第11章 全球人工智慧市場：依最終用戶分類

  • 介紹
  • 醫療保健
    • 機器人輔助手術
    • 虛擬護理助理
    • 醫院工作流程管理
    • 減少用藥錯誤
    • 臨床試驗參與者識別符
    • 初步診斷
    • 自動影像診斷
  • BFSI
    • 風險評估
    • 財務分析/調查
    • 投資/投資組合管理
  • 零售
  • 廣告和媒體
  • 汽車/交通
  • 農業
  • 製造業
  • 其他

第12章 全球人工智慧市場：按地區

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

第13章 主要發展

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

第14章 公司概況

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

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

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

Market Dynamics:

Driver:

Enhanced accessibility of data

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

Restraint:

Absence of skilled labor

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

Opportunity:

Enhancements in healthcare

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

Threat:

Moral and ethical issues

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

Covid-19 Impact:

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

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

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

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

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

Region with largest share:

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

Region with highest CAGR:

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

Key players in the market

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

Key Developments:

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

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

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

Types Covered:

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

System Types Covered:

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

Offerings Covered:

  • Software
  • Hardware
  • Services

Deployment Modes Covered:

  • Cloud
  • On-Premises

Business Functions Covered:

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

Technologies Covered:

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

End Users Covered:

  • Healthcare
  • BFSI
  • Retail
  • Advertising and Media
  • Automotive and Transportation
  • Agriculture
  • Manufacturing
  • Other End Users

Regions Covered:

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

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

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

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

Table of Contents

1 Executive Summary

2 Preface

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

3 Market Trend Analysis

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

4 Porters Five Force Analysis

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

5 Global Artificial Intelligence (AI) Market, By Type

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

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

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

7 Global Artificial Intelligence (AI) Market, By Offering

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

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

  • 8.1 Introduction
  • 8.2 Cloud
  • 8.3 On-Premises

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

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

10 Global Artificial Intelligence (AI) Market, By Technology

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

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

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

12 Global Artificial Intelligence (AI) Market, By Geography

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

13 Key Developments

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

14 Company Profiling

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

List of Tables

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

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