查看購物車
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1930208

人工智慧（AI）市場規模、佔有率、成長及全球產業分析：依類型、應用和地區劃分的洞察與預測（2026-2034）

Artificial Intelligence Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2026-2034
出版日期: | 出版商: Fortune Business Insights Pvt. Ltd. | 英文 150 Pages | 商品交期: 2-3個工作天內

價格

人工智慧（AI）市場成長驅動因素

隨著各組織機構日益整合人工智慧（AI）技術以模擬人類智慧、實現流程自動化並增強決策能力，全球人工智慧（AI）市場正經歷著變革性成長。預計到2025年，該市場規模將達到 2,941.6億美元，從2026年的3,759.3億美元成長到2034年的2.48 兆美元，預測期內年複合成長率（CAGR）為 26.60%。北美地區在2025年佔據市場主導地位，市場佔有率達 31.8%，這主要得益於技術創新以及政府和私營機構對人工智慧的大規模投資。

人工智慧（AI）指的是開發能夠學習、解決問題並執行傳統上由人類完成的任務的智慧軟體和硬體。大約 35%的公司已在其營運中應用了人工智慧，十分之九的公司利用人工智慧來保持競爭優勢。高盛預測，到2025年，全球人工智慧投資將達到 2,000億美元，凸顯了該領域的成長潛力。2024年，美國有 1143 家人工智慧相關公司獲得了融資，顯示人們對人工智慧生態系統的持續關注和創新。

生成式AI的影響

ChatGPT 等生成式AI工具透過自動化內容創建、編碼和資料分析，徹底改變了市場。 ChatGPT 在發布五天內就獲得了 100萬用戶，展現了前所未有的普及度。為此，人工智慧驅動的聊天機器人領域的競爭日趨激烈，百度已於2023年發布了 Ernie 聊天機器人。生成式AI的應用預計將擴展到包括銀行、醫療保健和旅遊在內的各個行業，減少人為介入並提高效率。彭博產業研究預測，未來十年生成式AI市場規模將達到 1.3 兆美元，而截至2023年，該市場規模已達 438.7億美元。

互惠關稅的影響

針對人工智慧硬體（例如 GPU、伺服器和邊緣運算晶片）的互惠關稅增加生產成本和營運複雜性。依賴跨境硬體的人工智慧公司面臨更高的合規成本、更長的交付週期以及製定區域擴張和本地化策略的需求。儘管存在這些挑戰，但由於人工智慧在各行業的戰略重要性，其需求仍在持續成長。

市場驅動因素與限制因素

人工智慧的普及主要得益於能夠提升人工客服效率的解決方案，例如虛擬助理、聊天機器人以及用於客戶服務的人工智慧情感分析。人工智慧還能自動化重複性任務，進而提高效率和客戶體驗。限制因素包括人工智慧人才短缺（尤其是在發展中國家）以及 "黑箱效應" ，即演算法決策難以解讀，降低了人們對人工智慧工具的信任度。

市場機會

人工智慧超級運算即服務（AI Supercomputing as a Service）正逐漸成為有利的機會。Microsoft、IBM、Meta 和 Oracle 等公司提供基於雲端的人工智慧超級運算服務，支援高效能人工智慧模式的訓練和探索。這些服務有望進一步推動人工智慧的普及，並為早期採用者帶來競爭優勢。

市場趨勢與技術進步

量子人工智慧可望提升機器學習、藥物研發、金融、氣候建模和網路安全等領域的能力。目前正努力將量子人工智慧與生成式AI結合，以快速部署解決方案，例如Zapata與D-Wave在2024年的合作。機器學習、自然語言處理（NLP）、電腦視覺和機器人等人工智慧技術迅速發展。預計到2025年，機器學習將佔據40%的市場佔有率，年複合成長率（CAGR）最高，達到32.6%。同時，自然語言處理在虛擬助理、聊天機器人和機器翻譯等領域的應用加速。

市場區隔洞察

  • 依組件劃分：到2026年，軟體將佔據44.94%的市場佔有率，其中服務成長最快，這主要得益於企業對實施、培訓和維護支援的需求。
  • 依部署類型劃分：受生成式AI和疫情加速雲端採用的推動，到2025年，雲端人工智慧解決方案將佔據 71.64%的市場佔有率。資料主權要求也推動了本地部署解決方案的興起。
  • 依公司規模劃分：到2026年，大型企業將佔據 58.99%的市場佔有率，而中小企業將以 32.1%的年複合成長率成長，這主要得益於財務管理、人力資源和產品開發方面的創新。
  • 依功能劃分：到2026年，服務營運將以20.86%的市場佔有率引領市場，而風險管理預計將以 32.4%的年複合成長率成長。
  • 依行業劃分：到2025年，銀行、金融和保險（BFSI）行業將以 18.9%的市場佔有率佔據榜首，而醫療保健行業預計將以 36.5%的年複合成長率（CAGR）實現最快成長。

區域洞察

  • 北美：預計到2025年，北美市場規模將達到 935億美元，其中美國市場預計將在2026年達到 826.3億美元，這主要得益於生成式AI（GI）的應用。
  • 亞太地區：預計到2026年，亞太市場規模將達到 1,121.6億美元，其中中國佔 371.6億美元，印度佔 180.8億美元，日本佔209億美元。預計年複合成長率（CAGR）為 34.7%。
  • 歐洲：預計2026年，市場規模將達到819.7億美元，其中英國為193.8億美元，德國為149.6億美元，法國為121.2億美元。
  • 中東和非洲：預計2026年將達到467.1億美元，其中GCC國家預計2025年將達到156億美元。
  • 南美洲：由於對人工智慧新創企業的投資增加，預計將保持穩定成長，到2023年將達到25億美元。

目錄

第1章 引言

第2章 執行摘要

第3章 市場動態

  • 宏觀與微觀經濟指標
  • 驅動因素、限制因素、機會與趨勢
  • 生成式AI的影響

第4章 競爭格局

  • 主要企業採用的商業策略公司
  • 主要公司綜合SWOT分析
  • 2025年全球領先人工智慧公司市場佔有率/排名

第5章 全球人工智慧市場規模依細分市場估算與預測（2021-2034）

  • 主要發現
  • 依組件劃分
    • 硬體
      • 處理器（GPU、FPGA、ASIC、CPU）
      • 記憶體系統
      • 儲存設備
    • 軟體
    • 服務
      • 人工智慧策略諮詢服務
      • 系統整合與實施
      • 人工智慧模型開發
      • 流程自動化與最佳化
      • 人工智慧訓練
      • 人工智慧驅動的客戶體驗
      • 支援與維護
  • 依部署方式
    • 本地部署
    • 雲端部署
      • 公有雲端
      • 私有雲端
      • 混合雲端
  • 依公司類型
    • 中小企業
    • 大型企業
  • 依功能
    • 人力資源
    • 行銷與銷售
    • 產品與服務部署
    • 服務營運
    • 風險管理
    • 供應鏈管理
    • 其他（策略與企業財務）
  • 依技術
    • 機器學習
      • 監督學習
      • 無監督學習
      • 強化學習
      • 深度學習
    • 自然語言處理（自然語言處理）
      • 語音識別
      • 文字分析
      • 語言翻譯
    • 電腦視覺
      • 影像識別
      • 目標偵測
    • 機器人與自動化
    • 專家系統
      • 基於規則的專家系統
      • 基於知識的系統
  • 產業特定應用
    • 醫療保健
      • 診斷人工智慧
      • 臨床人工智慧
      • 醫院管理系統
    • 汽車
      • 自動駕駛汽車
      • 人工智慧在出行即服務（MaaS）的應用
    • 零售
      • 客戶分析
      • 人工智慧驅動的行銷與銷售
      • 供應鏈自動化
    • 銀行、金融服務和保險（BFSI）
      • 詐欺偵測
      • 風險管理
      • 演算法交易
    • 製造業
      • 預測性維護
      • 人工智慧驅動的機器人和自動化
      • 品質控制
    • 農業
      • 智慧農業
      • 產量監測與最佳化
      • 作物病害檢測
    • 政府與公部門
      • 智慧城市計劃
      • 人工智慧執法
      • 災害管理
    • 資訊科技與通信
      • 網路最佳化
      • 人工智慧聊天機器人
      • 智慧型呼叫路由
    • 能源與公用事業
      • 電網管理
      • 人工智慧再生能源管理
    • 教育
      • 自適應學習平台
      • 人工智慧輔助學習工具
  • 依地區劃分
    • 北美
    • 南美
    • 歐洲
    • 中東和非洲
    • 亞太地區

第6章 北美人工智慧（AI）市場規模估算與預測（依細分市場劃分，2021-2034年）

  • 依國家劃分
    • 美國
    • 加拿大
    • 墨西哥

第7章 南美洲人工智慧（AI）市場規模估算與預測（依細分市場劃分，2021-2034）

  • 依國家劃分
    • 巴西
    • 阿根廷
    • 其他南美國家

第8章 歐洲人工智慧（AI）市場規模估算與預測（依細分市場劃分，2021-2034）

  • 依國家劃分
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 比荷盧經濟聯盟
    • 北歐國家
    • 歐洲其他地區

第9章 中東與非洲人工智慧（AI）市場規模估算與預測（依細分市場劃分，2021-2034）

  • 依國家劃分
    • 土耳其
    • 以色列
    • GCC
    • 南非
    • 北非
    • 中東和非洲其他地區

第10章 亞太地區人工智慧（AI）市場規模估算與預測（依細分市場劃分，2021-2034年）

  • 依國家劃分
    • 中國
    • 日本
    • 印度
    • 韓國
    • 東協
    • 大洋洲
    • 亞太其他地區

第11章 十大公司簡介

  • Microsoft Corporation
  • Amazon, Inc.
  • IBM Corporation
  • Alphabet Inc.
  • Salesforce.com, Inc.
  • Baidu, Inc.
  • NVIDIA Corporation
  • H2O.ai
  • Oracle Corporation
  • Hewlett Packard Enterprise Development
Product Code: FBI100114

Growth Factors of artificial intelligence (AI) Market

The global artificial intelligence (AI) market is experiencing transformative growth as organizations increasingly integrate AI technologies to simulate human intelligence, automate processes, and enhance decision-making. The market was valued at USD 294.16 billion in 2025 and is projected to grow from USD 375.93 billion in 2026 to USD 2,480.05 billion by 2034, reflecting a CAGR of 26.60% during the forecast period. North America dominated the market in 2025, accounting for 31.8% share, driven by technological innovations and substantial AI investments by governments and private organizations.

AI involves the development of smart software and hardware capable of learning, problem-solving, and performing tasks traditionally handled by humans. Approximately 35% of businesses have already integrated AI into their operations, with 9 out of 10 organizations leveraging AI to maintain a competitive edge. Goldman Sachs predicts that global AI investments will reach USD 200 billion by 2025, highlighting the sector's growth potential. In 2024, the U.S. accounted for 1,143 AI-funded companies, emphasizing continued interest and innovation in the AI ecosystem.

Impact of Generative AI

Generative AI tools, such as ChatGPT, have revolutionized the market by automating content creation, coding, and data analysis. ChatGPT reached 1 million users within five days of its release, demonstrating unprecedented adoption rates. In response, companies such as Baidu launched Ernie bot in 2023, indicating a competitive push in AI-driven chatbot solutions. Generative AI applications are expected to expand across industries including banking, healthcare, and travel, reducing human intervention and improving efficiency. Bloomberg Intelligence forecasts the generative AI market to reach USD 1.3 trillion within the next decade, with its market size already at USD 43.87 billion in 2023.

Impact of Reciprocal Tariffs

Reciprocal tariffs on AI hardware, such as GPUs, servers, and edge computing chips, have increased production costs and operational complexities. AI companies dependent on cross-border hardware face higher compliance costs, longer lead times, and the need for regional deployment or localization strategies. Despite these challenges, the demand for AI continues to grow due to its strategic importance across industries.

Market Drivers and Restraints

AI adoption is driven by solutions that enhance human agent productivity, including virtual assistants, chatbots, and AI-powered sentiment analysis for customer service. AI also automates repetitive tasks, improving efficiency and customer experience. Restraining factors include the lack of AI talent, especially in developing countries, and the black box effect, where algorithmic decisions are difficult to interpret, reducing trust in AI tools.

Market Opportunities

AI supercomputers as a service are emerging as a lucrative opportunity. Companies like Microsoft, IBM, Meta, and Oracle are offering cloud-based AI supercomputing services, enabling high-performance AI model training and research. These offerings are expected to drive further AI adoption and provide competitive advantages to early adopters.

Market Trends and Technological Advancements

Quantum AI is poised to enhance machine learning, drug discovery, finance, climate modeling, and cybersecurity. Collaborations such as Zapata and D-Wave in 2024 aim to fuse quantum and generative AI for faster deployment of solutions. AI technologies like machine learning, natural language processing (NLP), computer vision, and robotics are expanding rapidly. Machine learning accounts for 40% market share in 2025 and is expected to grow with the highest CAGR of 32.6%, while NLP adoption is accelerating across virtual assistants, chatbots, and automated translation.

Market Segmentation Insights

  • By Component: Software dominated 44.94% share in 2026, with services growing fastest as enterprises seek deployment, training, and maintenance support.
  • By Deployment: Cloud AI solutions held 71.64% share in 2025, driven by generative AI and pandemic-induced cloud adoption. On-premise solutions are also increasing due to data sovereignty requirements.
  • By Enterprise Type: Large enterprises led with 58.99% market share in 2026, while SMEs grow at 32.1% CAGR due to innovation in financial management, HR, and product development.
  • By Function: Service operations dominate with 20.86% share in 2026, while risk management is projected to grow fastest (32.4% CAGR).
  • By Industry: BFSI dominated in 2025 with 18.9% share, while healthcare is projected to grow fastest at 36.5% CAGR.

Regional Insights

  • North America: Market size USD 93.5 billion in 2025, U.S. projected USD 82.63 billion in 2026 due to generative AI adoption.
  • Asia Pacific: Market projected USD 112.16 billion in 2026, with China USD 37.16 billion, India USD 18.08 billion, Japan USD 20.9 billion. CAGR expected 34.7%.
  • Europe: Market size USD 81.97 billion in 2026, with U.K. USD 19.38 billion, Germany USD 14.96 billion, France USD 12.12 billion.
  • Middle East & Africa: USD 46.71 billion in 2026, GCC countries USD 15.6 billion in 2025.
  • South America: Steady growth with increasing AI startup investments, including USD 2.5 billion in 2023.

Competitive Landscape

Key players include Microsoft, IBM, Google, Oracle, NVIDIA, Cisco, Baidu, Alibaba, Huawei, OpenAI, Appier, Graphcore, Hailo, and others. Companies are adopting mergers, acquisitions, and partnerships to expand AI capabilities and integrate generative AI solutions.

Recent Industry Developments:

  • May 2025: OpenAI launched Codex for AI-assisted coding.
  • May 2025: HP unveiled OmniBook 5 AI-powered PCs with NPU processors.
  • May 2025: Oracle released NVIDIA AI Enterprise on OCI.
  • May 2025: OpenAI plans a large data center in the UAE.
  • May 2025: NVIDIA launched DGX Cloud Lepton for high-performance AI access.

Conclusion

The artificial intelligence market is poised for exponential growth from 2025 to 2034, driven by generative AI, quantum AI, AI supercomputers, and increasing adoption across enterprises of all sizes. Cloud-based deployments, machine learning, and advanced AI services are reshaping industries such as BFSI, healthcare, and manufacturing. By 2034, the market is projected to reach USD 2,480.05 billion, reflecting robust demand for AI solutions that enhance efficiency, innovation, and decision-making across the globe.

Segmentation By Component

  • Hardware
    • Processors (GPU, FPGA, ASIC and CPU)
    • Memory Systems
    • Storage Devices
  • Software
  • Services
    • AI Strategy Advisory/Consulting Services
    • System Integration and Deployment
    • AI Model Development
    • Process Automation and Optimization
    • AI Training
    • AI-powered Customer Experience
    • Support & Maintenance

By Deployment

  • On-premise
  • Cloud
    • Public Cloud
    • Private Cloud
    • Hybrid Cloud

By Enterprise Type

  • Large Enterprises
  • Small and Mid-sized Enterprises (SMEs)

By Technology

  • Machine Learning
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
    • Deep Learning
  • Natural Language Processing (NLP)
    • Speech Recognition
    • Text Analytics
    • Language Translation
  • Computer Vision
    • Image Recognition
    • Object Detection
  • Robotics and Automation
  • Expert Systems
    • Rule-based Expert System
    • Knowledge-based System

By Function

  • Human Resources
  • Marketing & Sales
  • Product/Service Deployment
  • Service Operation
  • Risk
  • Supply-Chain Management
  • Others (Strategy and Corporate Finance)

By Industry

  • Healthcare
    • Diagnostic AI
    • Clinical AI
    • Hospital Management System
  • Automotive
    • Autonomous Vehicle
    • AI in Mobility-as-a-Service
  • BFSI
    • Fraud Detection
    • Risk Management
    • Algorithmic Trading
  • Retail
    • Customer Analytics
    • AI-powered Marketing and Sales
    • Supply Chain Automation
  • Manufacturing
    • Predictive Maintenance
    • AI-driven Robotics and Automation
    • Quality Control
  • Agriculture
    • Smart Farming
    • Yield Monitoring and Optimization
    • Crop Disease Detection
  • Government and Public Sector
    • Smart City Initiatives
    • Law Enforcement AI
    • Disaster Management
  • IT & Telecom
    • Network Optimization
    • AI Chatbots
    • Intelligent Call Routing
  • Energy & Utilities
    • Grid Management
    • AI in Renewable Energy Management
  • Education
    • Adaptive Learning Platform
    • AI-assisted Learning Tools

By Region

  • North America (By Component, Deployment, Enterprise Type, Technology, Function, Industry, and Country)
    • U.S.
    • Canada
    • Mexico
  • South America (By Component, Deployment, Enterprise Type, Technology, Function, Industry, and Country)
    • Brazil
    • Argentina
    • Rest of South America
  • Europe (By Component, Deployment, Enterprise Type, Technology, Function, Industry, and Country)
    • U.K.
    • Germany
    • Italy
    • France
    • Spain
    • Russia
    • Benelux
    • Nordics
    • Rest of Europe
  • Middle East & Africa (By Component, Deployment, Enterprise Type, Technology, Function, Industry, and Country)
    • Turkey
    • Israel
    • GCC
    • South Africa
    • North Africa
    • Rest of MEA
  • Asia Pacific (By Component, Deployment, Enterprise Type, Technology, Function, Industry, and Country)
    • China
    • Japan
    • India
    • South Korea
    • ASEAN
    • Oceania
    • Rest of Asia Pacific

Companies Profiled in the Report Oracle Corporation (U.S.), Microsoft Corporation (U.S.), Amazon, Inc. (U.S.), Alphabet Inc. (U.S.), Salesforce.com, Inc. (U.S.), Baidu, Inc. (China), NVIDIA Corporation (U.S.), H2O.ai (U.S.), HPE (U.S.), and Others.

Table of Content

1. Introduction

  • 1.1. Definition, By Segment
  • 1.2. Research Methodology/Approach
  • 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

  • 3.1. Macro and Micro Economic Indicators
  • 3.2. Drivers, Restraints, Opportunities and Trends
  • 3.3. Impact of Generative AI

4. Competition Landscape

  • 4.1. Business Strategies Adopted by Key Players
  • 4.2. Consolidated SWOT Analysis of Key Players
  • 4.3. Global Artificial Intelligence Key Players Market Share/Ranking, 2025

5. Global Artificial Intelligence Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 5.1. Key Findings
  • 5.2. By Component (USD)
    • 5.2.1. Hardware
      • 5.2.1.1. Processors (GPU, FPGA, ASIC and CPU)
      • 5.2.1.2. Memory Systems
      • 5.2.1.3. Storage Devices
    • 5.2.2. Software
    • 5.2.3. Services
      • 5.2.3.1. AI Strategy Advisory/Consulting Services
      • 5.2.3.2. System Integration and Deployment
      • 5.2.3.3. AI Model Development
      • 5.2.3.4. Process Automation and Optimization
      • 5.2.3.5. AI Training
      • 5.2.3.6. AI-powered Customer Experience
      • 5.2.3.7. Support and Maintenance
  • 5.3. By Deployment (USD)
    • 5.3.1. On-Premises
    • 5.3.2. Cloud
      • 5.3.2.1. Public Cloud
      • 5.3.2.2. Private Cloud
      • 5.3.2.3. Hybrid Cloud
  • 5.4. By Enterprise Type (USD)
    • 5.4.1. SMEs
    • 5.4.2. Large Enterprises
  • 5.5. By Function (USD)
    • 5.5.1. Human Resources
    • 5.5.2. Marketing & Sales
    • 5.5.3. Product/Service Deployment
    • 5.5.4. Service Operation
    • 5.5.5. Risk
    • 5.5.6. Supply-Chain Management
    • 5.5.7. Others (Strategy and Corporate Finance)
  • 5.6. By Technology (USD)
    • 5.6.1. Machine Learning
      • 5.6.1.1. Supervised Learning
      • 5.6.1.2. Unsupervised Learning
      • 5.6.1.3. Reinforcement Learning
      • 5.6.1.4. Deep Learning
    • 5.6.2. Natural Language Processing (NLP)
      • 5.6.2.1. Speech Recognition
      • 5.6.2.2. Text Analytics
      • 5.6.2.3. Language Translation
    • 5.6.3. Computer Vision
      • 5.6.3.1. Image Recognition
      • 5.6.3.2. Object Detection
    • 5.6.4. Robotics and Automation
    • 5.6.5. Expert System
      • 5.6.5.1. Rule-based Expert System
      • 5.6.5.2. Knowledge-based System
  • 5.7. By Industry (USD)
    • 5.7.1. Healthcare
      • 5.7.1.1. Diagnostic AI
      • 5.7.1.2. Clinical AI
      • 5.7.1.3. Hospital Management System
    • 5.7.2. Automotive
      • 5.7.2.1. Autonomous Vehicle
      • 5.7.2.2. AI in Mobility-as-a-Service
    • 5.7.3. Retail
      • 5.7.3.1. Customer Analytics
      • 5.7.3.2. AI-powered Marketing and Sales
      • 5.7.3.3. Supply Chain Automation
    • 5.7.4. BFSI
      • 5.7.4.1. Fraud Detection
      • 5.7.4.2. Risk Management
      • 5.7.4.3. Algorithmic Trading
    • 5.7.5. Manufacturing
      • 5.7.5.1. Predictive Maintenance
      • 5.7.5.2. AI-driven Robotics and Automation
      • 5.7.5.3. Quality Control
    • 5.7.6. Agriculture
      • 5.7.6.1. Smart Farming
      • 5.7.6.2. Yield Monitoring and Optimization
      • 5.7.6.3. Crop Disease Detection
    • 5.7.7. Government and Public Sector
      • 5.7.7.1. Smart City Initiatives
      • 5.7.7.2. Law Enforcement AI
      • 5.7.7.3. Disaster Management
    • 5.7.8. IT & Telecom
      • 5.7.8.1. Network Optimization
      • 5.7.8.2. AI Chatbots
      • 5.7.8.3. Intelligent Call Routing
    • 5.7.9. Energy & Utilities
      • 5.7.9.1. Grid Management
      • 5.7.9.2. AI in Renewable Energy Management
    • 5.7.10. Education
      • 5.7.10.1. Adaptive Learning Platform
      • 5.7.10.2. AI-assisted Learning Tools
  • 5.8. By Region (USD)
    • 5.8.1. North America
    • 5.8.2. South America
    • 5.8.3. Europe
    • 5.8.4. Middle East & Africa
    • 5.8.5. Asia Pacific

6. North America Artificial Intelligence Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 6.1. Key Findings
  • 6.2. By Component (USD)
    • 6.2.1. Hardware
      • 6.2.1.1. Processors (GPU, FPGA, ASIC and CPU)
      • 6.2.1.2. Memory Systems
      • 6.2.1.3. Storage Devices
    • 6.2.2. Software
    • 6.2.3. Services
      • 6.2.3.1. AI Strategy Advisory/Consulting Services
      • 6.2.3.2. System Integration and Deployment
      • 6.2.3.3. AI Model Development
      • 6.2.3.4. Process Automation and Optimization
      • 6.2.3.5. AI Training
      • 6.2.3.6. AI-powered Customer Experience
      • 6.2.3.7. Support and Maintenance
  • 6.3. By Deployment (USD)
    • 6.3.1. On-Premises
    • 6.3.2. Cloud
      • 6.3.2.1. Public Cloud
      • 6.3.2.2. Private Cloud
      • 6.3.2.3. Hybrid Cloud
  • 6.4. By Enterprise Type (USD)
    • 6.4.1. SMEs
    • 6.4.2. Large Enterprises
  • 6.5. By Function (USD)
    • 6.5.1. Human Resources
    • 6.5.2. Marketing & Sales
    • 6.5.3. Product/Service Deployment
    • 6.5.4. Service Operation
    • 6.5.5. Risk
    • 6.5.6. Supply-Chain Management
    • 6.5.7. Others (Strategy and Corporate Finance)
  • 6.6. By Technology (USD)
    • 6.6.1. Machine Learning
      • 6.6.1.1. Supervised Learning
      • 6.6.1.2. Unsupervised Learning
      • 6.6.1.3. Reinforcement Learning
      • 6.6.1.4. Deep Learning
    • 6.6.2. Natural Language Processing (NLP)
      • 6.6.2.1. Speech Recognition
      • 6.6.2.2. Text Analytics
      • 6.6.2.3. Language Translation
    • 6.6.3. Computer Vision
      • 6.6.3.1. Image Recognition
      • 6.6.3.2. Object Detection
    • 6.6.4. Robotics and Automation
    • 6.6.5. Expert System
      • 6.6.5.1. Rule-based Expert System
      • 6.6.5.2. Knowledge-based System
  • 6.7. By Industry (USD)
    • 6.7.1. Healthcare
      • 6.7.1.1. Diagnostic AI
      • 6.7.1.2. Clinical AI
      • 6.7.1.3. Hospital Management System
    • 6.7.2. Automotive
      • 6.7.2.1. Autonomous Vehicle
      • 6.7.2.2. AI in Mobility-as-a-Service
    • 6.7.3. Retail
      • 6.7.3.1. Customer Analytics
      • 6.7.3.2. AI-powered Marketing and Sales
      • 6.7.3.3. Supply Chain Automation
    • 6.7.4. BFSI
      • 6.7.4.1. Fraud Detection
      • 6.7.4.2. Risk Management
      • 6.7.4.3. Algorithmic Trading
    • 6.7.5. Manufacturing
      • 6.7.5.1. Predictive Maintenance
      • 6.7.5.2. AI-driven Robotics and Automation
      • 6.7.5.3. Quality Control
    • 6.7.6. Agriculture
      • 6.7.6.1. Smart Farming
      • 6.7.6.2. Yield Monitoring and Optimization
      • 6.7.6.3. Crop Disease Detection
    • 6.7.7. Government and Public Sector
      • 6.7.7.1. Smart City Initiatives
      • 6.7.7.2. Law Enforcement AI
      • 6.7.7.3. Disaster Management
    • 6.7.8. IT & Telecom
      • 6.7.8.1. Network Optimization
      • 6.7.8.2. AI Chatbots
      • 6.7.8.3. Intelligent Call Routing
    • 6.7.9. Energy & Utilities
      • 6.7.9.1. Grid Management
      • 6.7.9.2. AI in Renewable Energy Management
    • 6.7.10. Education
      • 6.7.10.1. Adaptive Learning Platform
      • 6.7.10.2. AI-assisted Learning Tools
  • 6.8. By Country (USD)
    • 6.8.1. United States
    • 6.8.2. Canada
    • 6.8.3. Mexico

7. South America Artificial Intelligence Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 7.1. Key Findings
  • 7.2. By Component (USD)
    • 7.2.1. Hardware
      • 7.2.1.1. Processors (GPU, FPGA, ASIC and CPU)
      • 7.2.1.2. Memory Systems
      • 7.2.1.3. Storage Devices
    • 7.2.2. Software
    • 7.2.3. Services
      • 7.2.3.1. AI Strategy Advisory/Consulting Services
      • 7.2.3.2. System Integration and Deployment
      • 7.2.3.3. AI Model Development
      • 7.2.3.4. Process Automation and Optimization
      • 7.2.3.5. AI Training
      • 7.2.3.6. AI-powered Customer Experience
      • 7.2.3.7. Support and Maintenance
  • 7.3. By Deployment (USD)
    • 7.3.1. On-Premises
    • 7.3.2. Cloud
      • 7.3.2.1. Public Cloud
      • 7.3.2.2. Private Cloud
      • 7.3.2.3. Hybrid Cloud
  • 7.4. By Enterprise Type (USD)
    • 7.4.1. SMEs
    • 7.4.2. Large Enterprises
  • 7.5. By Function (USD)
    • 7.5.1. Human Resources
    • 7.5.2. Marketing & Sales
    • 7.5.3. Product/Service Deployment
    • 7.5.4. Service Operation
    • 7.5.5. Risk
    • 7.5.6. Supply-Chain Management
    • 7.5.7. Others (Strategy and Corporate Finance)
  • 7.6. By Technology (USD)
    • 7.6.1. Machine Learning
      • 7.6.1.1. Supervised Learning
      • 7.6.1.2. Unsupervised Learning
      • 7.6.1.3. Reinforcement Learning
      • 7.6.1.4. Deep Learning
    • 7.6.2. Natural Language Processing (NLP)
      • 7.6.2.1. Speech Recognition
      • 7.6.2.2. Text Analytics
      • 7.6.2.3. Language Translation
    • 7.6.3. Computer Vision
      • 7.6.3.1. Image Recognition
      • 7.6.3.2. Object Detection
    • 7.6.4. Robotics and Automation
    • 7.6.5. Expert System
      • 7.6.5.1. Rule-based Expert System
      • 7.6.5.2. Knowledge-based System
  • 7.7. By Industry (USD)
    • 7.7.1. Healthcare
      • 7.7.1.1. Diagnostic AI
      • 7.7.1.2. Clinical AI
      • 7.7.1.3. Hospital Management System
    • 7.7.2. Automotive
      • 7.7.2.1. Autonomous Vehicle
      • 7.7.2.2. AI in Mobility-as-a-Service
    • 7.7.3. Retail
      • 7.7.3.1. Customer Analytics
      • 7.7.3.2. AI-powered Marketing and Sales
      • 7.7.3.3. Supply Chain Automation
    • 7.7.4. BFSI
      • 7.7.4.1. Fraud Detection
      • 7.7.4.2. Risk Management
      • 7.7.4.3. Algorithmic Trading
    • 7.7.5. Manufacturing
      • 7.7.5.1. Predictive Maintenance
      • 7.7.5.2. AI-driven Robotics and Automation
      • 7.7.5.3. Quality Control
    • 7.7.6. Agriculture
      • 7.7.6.1. Smart Farming
      • 7.7.6.2. Yield Monitoring and Optimization
      • 7.7.6.3. Crop Disease Detection
    • 7.7.7. Government and Public Sector
      • 7.7.7.1. Smart City Initiatives
      • 7.7.7.2. Law Enforcement AI
      • 7.7.7.3. Disaster Management
    • 7.7.8. IT & Telecom
      • 7.7.8.1. Network Optimization
      • 7.7.8.2. AI Chatbots
      • 7.7.8.3. Intelligent Call Routing
    • 7.7.9. Energy & Utilities
      • 7.7.9.1. Grid Management
      • 7.7.9.2. AI in Renewable Energy Management
    • 7.7.10. Education
      • 7.7.10.1. Adaptive Learning Platform
      • 7.7.10.2. AI-assisted Learning Tools
  • 7.8. By Country (USD)
    • 7.8.1. Brazil
    • 7.8.2. Argentina
    • 7.8.3. Rest of South America

8. Europe Artificial Intelligence Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 8.1. Key Findings
  • 8.2. By Component (USD)
    • 8.2.1. Hardware
      • 8.2.1.1. Processors (GPU, FPGA, ASIC and CPU)
      • 8.2.1.2. Memory Systems
      • 8.2.1.3. Storage Devices
    • 8.2.2. Software
    • 8.2.3. Services
      • 8.2.3.1. AI Strategy Advisory/Consulting Services
      • 8.2.3.2. System Integration and Deployment
      • 8.2.3.3. AI Model Development
      • 8.2.3.4. Process Automation and Optimization
      • 8.2.3.5. AI Training
      • 8.2.3.6. AI-powered Customer Experience
      • 8.2.3.7. Support and Maintenance
  • 8.3. By Deployment (USD)
    • 8.3.1. On-Premises
    • 8.3.2. Cloud
      • 8.3.2.1. Public Cloud
      • 8.3.2.2. Private Cloud
      • 8.3.2.3. Hybrid Cloud
  • 8.4. By Enterprise Type (USD)
    • 8.4.1. SMEs
    • 8.4.2. Large Enterprises
  • 8.5. By Function (USD)
    • 8.5.1. Human Resources
    • 8.5.2. Marketing & Sales
    • 8.5.3. Product/Service Deployment
    • 8.5.4. Service Operation
    • 8.5.5. Risk
    • 8.5.6. Supply-Chain Management
    • 8.5.7. Others (Strategy and Corporate Finance)
  • 8.6. By Technology (USD)
    • 8.6.1. Machine Learning
      • 8.6.1.1. Supervised Learning
      • 8.6.1.2. Unsupervised Learning
      • 8.6.1.3. Reinforcement Learning
      • 8.6.1.4. Deep Learning
    • 8.6.2. Natural Language Processing (NLP)
      • 8.6.2.1. Speech Recognition
      • 8.6.2.2. Text Analytics
      • 8.6.2.3. Language Translation
    • 8.6.3. Computer Vision
      • 8.6.3.1. Image Recognition
      • 8.6.3.2. Object Detection
    • 8.6.4. Robotics and Automation
    • 8.6.5. Expert System
      • 8.6.5.1. Rule-based Expert System
      • 8.6.5.2. Knowledge-based System
  • 8.7. By Industry (USD)
    • 8.7.1. Healthcare
      • 8.7.1.1. Diagnostic AI
      • 8.7.1.2. Clinical AI
      • 8.7.1.3. Hospital Management System
    • 8.7.2. Automotive
      • 8.7.2.1. Autonomous Vehicle
      • 8.7.2.2. AI in Mobility-as-a-Service
    • 8.7.3. Retail
      • 8.7.3.1. Customer Analytics
      • 8.7.3.2. AI-powered Marketing and Sales
      • 8.7.3.3. Supply Chain Automation
    • 8.7.4. BFSI
      • 8.7.4.1. Fraud Detection
      • 8.7.4.2. Risk Management
      • 8.7.4.3. Algorithmic Trading
    • 8.7.5. Manufacturing
      • 8.7.5.1. Predictive Maintenance
      • 8.7.5.2. AI-driven Robotics and Automation
      • 8.7.5.3. Quality Control
    • 8.7.6. Agriculture
      • 8.7.6.1. Smart Farming
      • 8.7.6.2. Yield Monitoring and Optimization
      • 8.7.6.3. Crop Disease Detection
    • 8.7.7. Government and Public Sector
      • 8.7.7.1. Smart City Initiatives
      • 8.7.7.2. Law Enforcement AI
      • 8.7.7.3. Disaster Management
    • 8.7.8. IT & Telecom
      • 8.7.8.1. Network Optimization
      • 8.7.8.2. AI Chatbots
      • 8.7.8.3. Intelligent Call Routing
    • 8.7.9. Energy & Utilities
      • 8.7.9.1. Grid Management
      • 8.7.9.2. AI in Renewable Energy Management
    • 8.7.10. Education
      • 8.7.10.1. Adaptive Learning Platform
      • 8.7.10.2. AI-assisted Learning Tools
  • 8.8. By Country (USD)
    • 8.8.1. Germany
    • 8.8.2. U.K.
    • 8.8.3. France
    • 8.8.4. Italy
    • 8.8.5. Spain
    • 8.8.6. Russia
    • 8.8.7. Benelux
    • 8.8.8. Nordics
    • 8.8.9. Rest of Europe

9. Middle East & Africa Artificial Intelligence Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 9.1. Key Findings
  • 9.2. By Component (USD)
    • 9.2.1. Hardware
      • 9.2.1.1. Processors (GPU, FPGA, ASIC and CPU)
      • 9.2.1.2. Memory Systems
      • 9.2.1.3. Storage Devices
    • 9.2.2. Software
    • 9.2.3. Services
      • 9.2.3.1. AI Strategy Advisory/Consulting Services
      • 9.2.3.2. System Integration and Deployment
      • 9.2.3.3. AI Model Development
      • 9.2.3.4. Process Automation and Optimization
      • 9.2.3.5. AI Training
      • 9.2.3.6. AI-powered Customer Experience
      • 9.2.3.7. Support and Maintenance
  • 9.3. By Deployment (USD)
    • 9.3.1. On-Premises
    • 9.3.2. Cloud
      • 9.3.2.1. Public Cloud
      • 9.3.2.2. Private Cloud
      • 9.3.2.3. Hybrid Cloud
  • 9.4. By Enterprise Type (USD)
    • 9.4.1. SMEs
    • 9.4.2. Large Enterprises
  • 9.5. By Function (USD)
    • 9.5.1. Human Resources
    • 9.5.2. Marketing & Sales
    • 9.5.3. Product/Service Deployment
    • 9.5.4. Service Operation
    • 9.5.5. Risk
    • 9.5.6. Supply-Chain Management
    • 9.5.7. Others (Strategy and Corporate Finance)
  • 9.6. By Technology (USD)
    • 9.6.1. Machine Learning
      • 9.6.1.1. Supervised Learning
      • 9.6.1.2. Unsupervised Learning
      • 9.6.1.3. Reinforcement Learning
      • 9.6.1.4. Deep Learning
    • 9.6.2. Natural Language Processing (NLP)
      • 9.6.2.1. Speech Recognition
      • 9.6.2.2. Text Analytics
      • 9.6.2.3. Language Translation
    • 9.6.3. Computer Vision
      • 9.6.3.1. Image Recognition
      • 9.6.3.2. Object Detection
    • 9.6.4. Robotics and Automation
    • 9.6.5. Expert System
      • 9.6.5.1. Rule-based Expert System
      • 9.6.5.2. Knowledge-based System
  • 9.7. By Industry (USD)
    • 9.7.1. Healthcare
      • 9.7.1.1. Diagnostic AI
      • 9.7.1.2. Clinical AI
      • 9.7.1.3. Hospital Management System
    • 9.7.2. Automotive
      • 9.7.2.1. Autonomous Vehicle
      • 9.7.2.2. AI in Mobility-as-a-Service
    • 9.7.3. Retail
      • 9.7.3.1. Customer Analytics
      • 9.7.3.2. AI-powered Marketing and Sales
      • 9.7.3.3. Supply Chain Automation
    • 9.7.4. BFSI
      • 9.7.4.1. Fraud Detection
      • 9.7.4.2. Risk Management
      • 9.7.4.3. Algorithmic Trading
    • 9.7.5. Manufacturing
      • 9.7.5.1. Predictive Maintenance
      • 9.7.5.2. AI-driven Robotics and Automation
      • 9.7.5.3. Quality Control
    • 9.7.6. Agriculture
      • 9.7.6.1. Smart Farming
      • 9.7.6.2. Yield Monitoring and Optimization
      • 9.7.6.3. Crop Disease Detection
    • 9.7.7. Government and Public Sector
      • 9.7.7.1. Smart City Initiatives
      • 9.7.7.2. Law Enforcement AI
      • 9.7.7.3. Disaster Management
    • 9.7.8. IT & Telecom
      • 9.7.8.1. Network Optimization
      • 9.7.8.2. AI Chatbots
      • 9.7.8.3. Intelligent Call Routing
    • 9.7.9. Energy & Utilities
      • 9.7.9.1. Grid Management
      • 9.7.9.2. AI in Renewable Energy Management
    • 9.7.10. Education
      • 9.7.10.1. Adaptive Learning Platform
      • 9.7.10.2. AI-assisted Learning Tools
  • 9.8. By Country (USD)
    • 9.8.1. Turkey
    • 9.8.2. Israel
    • 9.8.3. GCC
    • 9.8.4. South Africa
    • 9.8.5. North Africa
    • 9.8.6. Rest of Middle East & Africa

10. Asia Pacific Artificial Intelligence Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 10.1. Key Findings
  • 10.2. By Component (USD)
    • 10.2.1. Hardware
      • 10.2.1.1. Processors (GPU, FPGA, ASIC and CPU)
      • 10.2.1.2. Memory Systems
      • 10.2.1.3. Storage Devices
    • 10.2.2. Software
    • 10.2.3. Services
      • 10.2.3.1. AI Strategy Advisory/Consulting Services
      • 10.2.3.2. System Integration and Deployment
      • 10.2.3.3. AI Model Development
      • 10.2.3.4. Process Automation and Optimization
      • 10.2.3.5. AI Training
      • 10.2.3.6. AI-powered Customer Experience
      • 10.2.3.7. Support and Maintenance
  • 10.3. By Deployment (USD)
    • 10.3.1. On-Premises
    • 10.3.2. Cloud
      • 10.3.2.1. Public Cloud
      • 10.3.2.2. Private Cloud
      • 10.3.2.3. Hybrid Cloud
  • 10.4. By Enterprise Type (USD)
    • 10.4.1. SMEs
    • 10.4.2. Large Enterprises
  • 10.5. By Function (USD)
    • 10.5.1. Human Resources
    • 10.5.2. Marketing & Sales
    • 10.5.3. Product/Service Deployment
    • 10.5.4. Service Operation
    • 10.5.5. Risk
    • 10.5.6. Supply-Chain Management
    • 10.5.7. Others (Strategy and Corporate Finance)
  • 10.6. By Technology (USD)
    • 10.6.1. Machine Learning
      • 10.6.1.1. Supervised Learning
      • 10.6.1.2. Unsupervised Learning
      • 10.6.1.3. Reinforcement Learning
      • 10.6.1.4. Deep Learning
    • 10.6.2. Natural Language Processing (NLP)
      • 10.6.2.1. Speech Recognition
      • 10.6.2.2. Text Analytics
      • 10.6.2.3. Language Translation
    • 10.6.3. Computer Vision
      • 10.6.3.1. Image Recognition
      • 10.6.3.2. Object Detection
    • 10.6.4. Robotics and Automation
    • 10.6.5. Expert System
      • 10.6.5.1. Rule-based Expert System
      • 10.6.5.2. Knowledge-based System
  • 10.7. By Industry (USD)
    • 10.7.1. Healthcare
      • 10.7.1.1. Diagnostic AI
      • 10.7.1.2. Clinical AI
      • 10.7.1.3. Hospital Management System
    • 10.7.2. Automotive
      • 10.7.2.1. Autonomous Vehicle
      • 10.7.2.2. AI in Mobility-as-a-Service
    • 10.7.3. Retail
      • 10.7.3.1. Customer Analytics
      • 10.7.3.2. AI-powered Marketing and Sales
      • 10.7.3.3. Supply Chain Automation
    • 10.7.4. BFSI
      • 10.7.4.1. Fraud Detection
      • 10.7.4.2. Risk Management
      • 10.7.4.3. Algorithmic Trading
    • 10.7.5. Manufacturing
      • 10.7.5.1. Predictive Maintenance
      • 10.7.5.2. AI-driven Robotics and Automation
      • 10.7.5.3. Quality Control
    • 10.7.6. Agriculture
      • 10.7.6.1. Smart Farming
      • 10.7.6.2. Yield Monitoring and Optimization
      • 10.7.6.3. Crop Disease Detection
    • 10.7.7. Government and Public Sector
      • 10.7.7.1. Smart City Initiatives
      • 10.7.7.2. Law Enforcement AI
      • 10.7.7.3. Disaster Management
    • 10.7.8. IT & Telecom
      • 10.7.8.1. Network Optimization
      • 10.7.8.2. AI Chatbots
      • 10.7.8.3. Intelligent Call Routing
    • 10.7.9. Energy & Utilities
      • 10.7.9.1. Grid Management
      • 10.7.9.2. AI in Renewable Energy Management
    • 10.7.10. Education
      • 10.7.10.1. Adaptive Learning Platform
      • 10.7.10.2. AI-assisted Learning Tools
  • 10.8. By Country (USD)
    • 10.8.1. China
    • 10.8.2. Japan
    • 10.8.3. India
    • 10.8.4. South Korea
    • 10.8.5. ASEAN
    • 10.8.6. Oceania
    • 10.8.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

  • 11.1. Microsoft Corporation
    • 11.1.1. Overview
      • 11.1.1.1. Key Management
      • 11.1.1.2. Headquarters
      • 11.1.1.3. Offerings/Business Segments
    • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.1.2.1. Employee Size
      • 11.1.2.2. Past and Current Revenue
      • 11.1.2.3. Geographical Share
      • 11.1.2.4. Business Segment Share
      • 11.1.2.5. Recent Developments
  • 11.2. Amazon, Inc.
    • 11.2.1. Overview
      • 11.2.1.1. Key Management
      • 11.2.1.2. Headquarters
      • 11.2.1.3. Offerings/Business Segments
    • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.2.2.1. Employee Size
      • 11.2.2.2. Past and Current Revenue
      • 11.2.2.3. Geographical Share
      • 11.2.2.4. Business Segment Share
      • 11.2.2.5. Recent Developments
  • 11.3. IBM Corporation
    • 11.3.1. Overview
      • 11.3.1.1. Key Management
      • 11.3.1.2. Headquarters
      • 11.3.1.3. Offerings/Business Segments
    • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.3.2.1. Employee Size
      • 11.3.2.2. Past and Current Revenue
      • 11.3.2.3. Geographical Share
      • 11.3.2.4. Business Segment Share
      • 11.3.2.5. Recent Developments
  • 11.4. Alphabet Inc.
    • 11.4.1. Overview
      • 11.4.1.1. Key Management
      • 11.4.1.2. Headquarters
      • 11.4.1.3. Offerings/Business Segments
    • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.4.2.1. Employee Size
      • 11.4.2.2. Past and Current Revenue
      • 11.4.2.3. Geographical Share
      • 11.4.2.4. Business Segment Share
      • 11.4.2.5. Recent Developments
  • 11.5. Salesforce.com, Inc.
    • 11.5.1. Overview
      • 11.5.1.1. Key Management
      • 11.5.1.2. Headquarters
      • 11.5.1.3. Offerings/Business Segments
    • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.5.2.1. Employee Size
      • 11.5.2.2. Past and Current Revenue
      • 11.5.2.3. Geographical Share
      • 11.5.2.4. Business Segment Share
      • 11.5.2.5. Recent Developments
  • 11.6. Baidu, Inc.
    • 11.6.1. Overview
      • 11.6.1.1. Key Management
      • 11.6.1.2. Headquarters
      • 11.6.1.3. Offerings/Business Segments
    • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.6.2.1. Employee Size
      • 11.6.2.2. Past and Current Revenue
      • 11.6.2.3. Geographical Share
      • 11.6.2.4. Business Segment Share
      • 11.6.2.5. Recent Developments
  • 11.7. NVIDIA Corporation
    • 11.7.1. Overview
      • 11.7.1.1. Key Management
      • 11.7.1.2. Headquarters
      • 11.7.1.3. Offerings/Business Segments
    • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.7.2.1. Employee Size
      • 11.7.2.2. Past and Current Revenue
      • 11.7.2.3. Geographical Share
      • 11.7.2.4. Business Segment Share
      • 11.7.2.5. Recent Developments
  • 11.8. H2O.ai
    • 11.8.1. Overview
      • 11.8.1.1. Key Management
      • 11.8.1.2. Headquarters
      • 11.8.1.3. Offerings/Business Segments
    • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.8.2.1. Employee Size
      • 11.8.2.2. Past and Current Revenue
      • 11.8.2.3. Geographical Share
      • 11.8.2.4. Business Segment Share
      • 11.8.2.5. Recent Developments
  • 11.9. Oracle Corporation
    • 11.9.1. Overview
      • 11.9.1.1. Key Management
      • 11.9.1.2. Headquarters
      • 11.9.1.3. Offerings/Business Segments
    • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.9.2.1. Employee Size
      • 11.9.2.2. Past and Current Revenue
      • 11.9.2.3. Geographical Share
      • 11.9.2.4. Business Segment Share
      • 11.9.2.5. Recent Developments
  • 11.10. Hewlett Packard Enterprise Development
    • 11.10.1. Overview
      • 11.10.1.1. Key Management
      • 11.10.1.2. Headquarters
      • 11.10.1.3. Offerings/Business Segments
    • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.10.2.1. Employee Size
      • 11.10.2.2. Past and Current Revenue
      • 11.10.2.3. Geographical Share
      • 11.10.2.4. Business Segment Share
      • 11.10.2.5. Recent Developments

List of Tables

  • Table 1: Global Artificial Intelligence Market Size Estimates and Forecasts, 2021 - 2034
  • Table 2: Global Artificial Intelligence Market Size Estimates and Forecasts, By Component, 2021 - 2034
  • Table 3: Global Artificial Intelligence Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 4: Global Artificial Intelligence Market Size Estimates and Forecasts, By Enterprise Type, 2021 - 2034
  • Table 5: Global Artificial Intelligence Market Size Estimates and Forecasts, By Technology, 2021 - 2034
  • Table 6: Global Artificial Intelligence Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 7: Global Artificial Intelligence Market Size Estimates and Forecasts, By Industry, 2021 - 2034
  • Table 8: Global Artificial Intelligence Market Size Estimates and Forecasts, By Region, 2021 - 2034
  • Table 9: North America Artificial Intelligence Market Size Estimates and Forecasts, 2021 - 2034
  • Table 10: North America Artificial Intelligence Market Size Estimates and Forecasts, By Component, 2021 - 2034
  • Table 11: North America Artificial Intelligence Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 12: North America Artificial Intelligence Market Size Estimates and Forecasts, By Enterprise Type, 2021 - 2034
  • Table 13: North America Artificial Intelligence Market Size Estimates and Forecasts, By Technology, 2021 - 2034
  • Table 14: North America Artificial Intelligence Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 15: North America Artificial Intelligence Market Size Estimates and Forecasts, By Industry, 2021 - 2034
  • Table 16: North America Artificial Intelligence Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 17: South America Artificial Intelligence Market Size Estimates and Forecasts, 2021 - 2034
  • Table 18: South America Artificial Intelligence Market Size Estimates and Forecasts, By Component, 2021 - 2034
  • Table 19: South America Artificial Intelligence Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 20: South America Artificial Intelligence Market Size Estimates and Forecasts, By Enterprise Type, 2021 - 2034
  • Table 21: South America Artificial Intelligence Market Size Estimates and Forecasts, By Technology, 2021 - 2034
  • Table 22: South America Artificial Intelligence Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 23: South America Artificial Intelligence Market Size Estimates and Forecasts, By Industry, 2021 - 2034
  • Table 24: South America Artificial Intelligence Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 25: Europe Artificial Intelligence Market Size Estimates and Forecasts, 2021 - 2034
  • Table 26: Europe Artificial Intelligence Market Size Estimates and Forecasts, By Component, 2021 - 2034
  • Table 27: Europe Artificial Intelligence Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 28: Europe Artificial Intelligence Market Size Estimates and Forecasts, By Enterprise Type, 2021 - 2034
  • Table 29: Europe Artificial Intelligence Market Size Estimates and Forecasts, By Technology, 2021 - 2034
  • Table 30: Europe Artificial Intelligence Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 31: Europe Artificial Intelligence Market Size Estimates and Forecasts, By Industry, 2021 - 2034
  • Table 32: Europe Artificial Intelligence Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 33: Middle East & Africa Artificial Intelligence Market Size Estimates and Forecasts, 2021 - 2034
  • Table 34: Middle East & Africa Artificial Intelligence Market Size Estimates and Forecasts, By Component, 2021 - 2034
  • Table 35: Middle East & Africa Artificial Intelligence Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 36: Middle East & Africa Artificial Intelligence Market Size Estimates and Forecasts, By Enterprise Type, 2021 - 2034
  • Table 37: Middle East & Africa Artificial Intelligence Market Size Estimates and Forecasts, By Technology, 2021 - 2034
  • Table 38: Middle East & Africa Artificial Intelligence Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 39: Middle East & Africa Artificial Intelligence Market Size Estimates and Forecasts, By Industry, 2021 - 2034
  • Table 40: Middle East & Africa Artificial Intelligence Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 41: Asia Pacific Artificial Intelligence Market Size Estimates and Forecasts, 2021 - 2034
  • Table 42: Asia Pacific Artificial Intelligence Market Size Estimates and Forecasts, By Component, 2021 - 2034
  • Table 43: Asia Pacific Artificial Intelligence Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 44: Asia Pacific Artificial Intelligence Market Size Estimates and Forecasts, By Enterprise Type, 2021 - 2034
  • Table 45: Asia Pacific Artificial Intelligence Market Size Estimates and Forecasts, By Technology, 2021 - 2034
  • Table 46: Asia Pacific Artificial Intelligence Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 47: Asia Pacific Artificial Intelligence Market Size Estimates and Forecasts, By Industry, 2021 - 2034
  • Table 48: Asia Pacific Artificial Intelligence Market Size Estimates and Forecasts, By Country, 2021 - 2034

List of Figures

  • Figure 1: Global Artificial Intelligence Market Revenue Share (%), 2025 and 2034
  • Figure 2: Global Artificial Intelligence Market Revenue Share (%), By Component, 2025 and 2034
  • Figure 3: Global Artificial Intelligence Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 4: Global Artificial Intelligence Market Revenue Share (%), By Enterprise Type, 2025 and 2034
  • Figure 5: Global Artificial Intelligence Market Revenue Share (%), By Technology, 2025 and 2034
  • Figure 6: Global Artificial Intelligence Market Revenue Share (%), By Function, 2025 and 2034
  • Figure 7: Global Artificial Intelligence Market Revenue Share (%), By Industry, 2025 and 2034
  • Figure 8: Global Artificial Intelligence Market Revenue Share (%), By Region, 2025 and 2034
  • Figure 9: North America Artificial Intelligence Market Revenue Share (%), 2025 and 2034
  • Figure 10: North America Artificial Intelligence Market Revenue Share (%), By Component, 2025 and 2034
  • Figure 11: North America Artificial Intelligence Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 12: North America Artificial Intelligence Market Revenue Share (%), By Enterprise Type, 2025 and 2034
  • Figure 13: North America Artificial Intelligence Market Revenue Share (%), By Technology, 2025 and 2034
  • Figure 14: North America Artificial Intelligence Market Revenue Share (%), By Function, 2025 and 2034
  • Figure 15: North America Artificial Intelligence Market Revenue Share (%), By Industry, 2025 and 2034
  • Figure 16: North America Artificial Intelligence Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 17: South America Artificial Intelligence Market Revenue Share (%), 2025 and 2034
  • Figure 18: South America Artificial Intelligence Market Revenue Share (%), By Component, 2025 and 2034
  • Figure 19: South America Artificial Intelligence Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 20: South America Artificial Intelligence Market Revenue Share (%), By Enterprise Type, 2025 and 2034
  • Figure 21: South America Artificial Intelligence Market Revenue Share (%), By Technology, 2025 and 2034
  • Figure 22: South America Artificial Intelligence Market Revenue Share (%), By Function, 2025 and 2034
  • Figure 23: South America Artificial Intelligence Market Revenue Share (%), By Industry, 2025 and 2034
  • Figure 24: South America Artificial Intelligence Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 25: Europe Artificial Intelligence Market Revenue Share (%), 2025 and 2034
  • Figure 26: Europe Artificial Intelligence Market Revenue Share (%), By Component, 2025 and 2034
  • Figure 27: Europe Artificial Intelligence Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 28: Europe Artificial Intelligence Market Revenue Share (%), By Enterprise Type, 2025 and 2034
  • Figure 29: Europe Artificial Intelligence Market Revenue Share (%), By Technology, 2025 and 2034
  • Figure 30: Europe Artificial Intelligence Market Revenue Share (%), By Function, 2025 and 2034
  • Figure 31: Europe Artificial Intelligence Market Revenue Share (%), By Industry, 2025 and 2034
  • Figure 32: Europe Artificial Intelligence Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 33: Middle East & Africa Artificial Intelligence Market Revenue Share (%), 2025 and 2034
  • Figure 34: Middle East & Africa Artificial Intelligence Market Revenue Share (%), By Component, 2025 and 2034
  • Figure 35: Middle East & Africa Artificial Intelligence Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 36: Middle East & Africa Artificial Intelligence Market Revenue Share (%), By Enterprise Type, 2025 and 2034
  • Figure 37: Middle East & Africa Artificial Intelligence Market Revenue Share (%), By Technology, 2025 and 2034
  • Figure 38: Middle East & Africa Artificial Intelligence Market Revenue Share (%), By Function, 2025 and 2034
  • Figure 39: Middle East & Africa Artificial Intelligence Market Revenue Share (%), By Industry, 2025 and 2034
  • Figure 40: Middle East & Africa Artificial Intelligence Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 41: Asia Pacific Artificial Intelligence Market Revenue Share (%), 2025 and 2034
  • Figure 42: Asia Pacific Artificial Intelligence Market Revenue Share (%), By Component, 2025 and 2034
  • Figure 43: Asia Pacific Artificial Intelligence Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 44: Asia Pacific Artificial Intelligence Market Revenue Share (%), By Enterprise Type, 2025 and 2034
  • Figure 45: Asia Pacific Artificial Intelligence Market Revenue Share (%), By Technology, 2025 and 2034
  • Figure 46: Asia Pacific Artificial Intelligence Market Revenue Share (%), By Function, 2025 and 2034
  • Figure 47: Asia Pacific Artificial Intelligence Market Revenue Share (%), By Industry, 2025 and 2034
  • Figure 48: Asia Pacific Artificial Intelligence Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 49: Global Artificial Intelligence Key Players' Market Share/Ranking (%), 2025