2025 年企業人工智慧全球市場報告

預計未來幾年企業人工智慧市場規模將呈指數級成長。到 2029 年，這一數字將成長至 1,185.1 億美元，複合年成長率為 42.7%。預測期內的成長可歸因於人工智慧在網路安全解決方案中的整合、可解釋人工智慧在透明度方面的成長、人工智慧在人力資源中的應用日益增多、人工智慧在醫療保健和生命科學中的擴展，以及對負責任和道德的人工智慧實踐的重視。預測期內的主要趨勢包括人工智慧聊天機器人和虛擬助理的發展、人工智慧與物聯網 (IoT) 的融合、用於即時處理的邊緣人工智慧的興起、人工智慧在供應鏈和物流中的應用，以及對人工智慧驅動的客戶體驗個性化的日益關注。

預計人工智慧的廣泛應用將推動企業人工智慧市場的未來成長。人工智慧是指用機器，特別是電腦系統對大量資料進行分析，模擬人類的智慧過程。人工智慧的採用將提高工作效率，並大幅改善各種規模企業的決策流程。例如，根據美國科技公司國際商業機器公司2022年5月發布的《2022年IBM全球人工智慧採用指數》顯示，35%的組織回答說他們正在公司中使用人工智慧，另有42%的組織回答說他們正在考慮在2022年引入人工智慧。人工智慧的採用率不斷提高，自 2021 年以來增加了 4 個百分點。因此，人工智慧的廣泛應用正在推動企業人工智慧市場的成長。

物聯網設備的日益普及預計將在未來幾年推動企業人工智慧市場的成長。物聯網設備是配備有軟體、感測器和其他技術的實體設備，可透過網際網路與其他設備和系統連接和互動。人工智慧和物聯網設備協同工作，提取有價值的見解，從而推動更好的決策、自動化流程並為客戶和員工開發更有效、客製化的體驗。例如，根據德國物聯網、人工智慧、運算邊緣、雲端基礎的服務和工業4.0的完整統計評估機構IoT Analytics GmbH的2023年5月報告“2023年春季物聯網狀況”，預計到2022年全球物聯網連接數量將成長18%，達到143億台活躍設備。此外，預計到 2023 年，連網物聯網設備總數將成長 16%，達到 167 億台活躍設備。因此，物聯網設備的廣泛使用正在推動企業人工智慧市場的發展。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場 - 宏觀經濟情景，包括利率、通膨、地緣政治、新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

• 全球企業人工智慧市場的 PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素、限制因素）
• 最終用途產業分析
• 全球企業人工智慧市場成長率分析
• 全球企業人工智慧市場表現：規模與成長，2019 年至 2024 年
• 全球企業人工智慧市場預測：規模與成長，2024-2029 年，2034 年
• 全球企業人工智慧總潛在市場 (TAM)

第6章 市場細分

• 全球企業人工智慧市場（按組件、效能和預測）2019-2024 年、2024-2029 年、2034 年
• 解決方案
• 服務
• 全球企業人工智慧市場（按技術、效能和預測），2019-2024 年、2024-2029 年、2034 年
• 機器學習
• 自然語言處理 (NLP)
• 影像處理
• 語音辨識
• 全球企業人工智慧市場按部署類型、效能和預測，2019-2024 年、2024-2029 年、2034 年
• 雲
• 本地
• 全球企業人工智慧市場（按應用、效能和預測），2019-2024 年、2024-2029 年、2034 年
• 安全與風險管理
• 行銷管理
• 客戶支援和體驗
• 人力資源和招募管理
• 分析應用
• 流程自動化
• 全球企業人工智慧市場依垂直產業、績效及預測，2019-2024、2024-2029、2034
• 零售
• 衛生保健
• 車
• 銀行和金融服務
• 媒體和娛樂
• 其他行業
• 全球企業人工智慧市場：按類型、效能和預測分類的解決方案細分，2019-2024 年、2024-2029 年、2034 年
• 機器學習平台
• 自然語言處理（NLP）工具
• 電腦視覺解決方案
• 機器人流程自動化 (RPA)
• 基於人工智慧的分析工具
• 全球企業人工智慧市場：按類型、效能和預測分類的服務細分，2019-2024 年、2024-2029 年、2034 年
• 諮詢服務
• 實施服務
• 託管人工智慧服務
• 培訓和支援服務

第7章 區域和國家分析

• 全球企業人工智慧市場各地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
• 全球企業人工智慧市場（按國家/地區分類）、表現和預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第 17 章 德國市場

第 18 章 法國市場

第 19 章：義大利市場

第 20 章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第 25 章：加拿大市場

第26章 南美洲市場

第 27 章：巴西市場

第28章 中東市場

第 29 章：非洲市場

第 30 章競爭格局與公司概況

• 企業人工智慧市場：競爭格局
• 企業人工智慧市場：公司簡介
  • International Business Machines（IBM）Overview, Products and Services, Strategy and Financial Analysis
  • Wipro Limited Overview, Products and Services, Strategy and Financial Analysis
  • Amazon Web Services Overview, Products and Services, Strategy and Financial Analysis
  • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Google LLC Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型創新企業

• SAP SE
• Oracle Corporation
• Hewlett Packard Enterprise
• IPsoft Inc.
• MicroStrategy Incorporated
• NVIDIA Corporation
• Verint Systems Inc.
• SAS Institute Inc.
• Accenture plc
• Appen Limited.
• Dataiku Ltd.
• DataRobot Inc.
• Dell Technologies Inc.
• Deloitte Touche Tohmatsu Limited
• Freenome Holdings Inc.

第 32 章 全球競爭基準化分析與儀錶板

第33章 重大併購

第 34 章 近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

• 2029 年企業人工智慧市場 - 提供最多新機會的國家
• 2029 年企業人工智慧市場 - 提供最新興機會的細分市場
• 2029 年企業人工智慧市場 - 成長策略
  • 基於市場趨勢的策略
  • 競爭對手的策略

第 36 章 附錄

Enterprise AI is a subcategory of the business system that utilises cutting-edge AI methods to promote digital transformation. A new technological stack is needed for the large-scale development and deployment of enterprise AI. It is used to automate tasks, improve data-driven decision-making, and produce better insights.

The main components of enterprise artificial intelligence are solutions and services. A solution refers to a system that combines people, processes, information, and technology to support a group of business or technical skills that address one or more business challenges. The different technologies include machine learning and deep learning, natural language processing, image processing, and speech recognition that are used in security and risk management, marketing management, customer support and experience, human resource and recruitment management, analytics applications, and process automation. The several end users include retail, healthcare, automotive, banking and financial services, media, and entertainment, among others.

The enterprise artificial intelligence report is one of a series of new reports from The Business Research Company that provides enterprise artificial intelligence statistics, including enterprise artificial intelligence industry global market size, regional shares, competitors with an enterprise artificial intelligence share, detailed enterprise artificial intelligence segments, market trends and opportunities, and any further data you may need to thrive in the enterprise artificial intelligence industry. This enterprise artificial intelligence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The enterprise artificial intelligence market size has grown exponentially in recent years. It will grow from $20.42 billion in 2024 to $28.54 billion in 2025 at a compound annual growth rate (CAGR) of 39.8%. The growth in the historic period can be attributed to increased advances in machine learning algorithms, growth in big data and data analytics, expansion of cloud computing, increase in computing power and processing speed, adoption of ai in business process automation.

The enterprise artificial intelligence market size is expected to see exponential growth in the next few years. It will grow to $118.51 billion in 2029 at a compound annual growth rate (CAGR) of 42.7%. The growth in the forecast period can be attributed to integration of ai in cybersecurity solutions, growth in explainable ai for transparency, increased adoption of ai in human resources, expansion of ai in healthcare and life sciences, emphasis on responsible and ethical ai practices. Major trends in the forecast period include development of ai-driven chatbots and virtual assistants, integration of ai with internet of things (IoT), rise of edge ai for real-time processing, adoption of ai in supply chain and logistics, focus on ai-powered personalization in customer experience.

The increasing adoption of AI is expected to propel the growth of the enterprise artificial intelligence market going forward. Artificial intelligence refers to the simulation of human intelligence processes by machines, especially computer systems for analysing enormous volumes of data. Adopting AI improves the efficiency with which things are done and dramatically improves the decision-making process in enterprises of various sizes. For instance, in May 2022, according to the IBM Global AI Adoption Index 2022, by International Business Machines Corporation, a US-based technological company, 35% of organizations stated they use AI in their company, while another 42% said they are looking into it in 2022. AI adoption is constantly increasing, with a four-point increase since 2021. Therefore, the increasing adoption of AI is driving the enterprise artificial intelligence market growth.

The increasing adoption of IoT devices is expected to propel the growth of the enterprise artificial intelligence market in the coming years. IoT devices are physical devices that contain software, sensors, and other technologies that allow them to connect and interact with other devices or systems over the internet. AI and IoT devices work together to extract valuable insights that facilitate better decision-making, process automation, and the development of more effective and customized experiences for both customers and staff. For instance, in May 2023, according to the IoT Analytics GmbH State of IoT Spring 2023 report, a Germany-based complete statistical assessment structure for the Internet of Things, AI, computational edge, cloud-based services, and Industry 4. 0, the total number of linked IoT devices is expected to increase by 16% to 16. 7 billion active terminals by 2023, while global IoT connections are expected to increase by 18% to 14. 3 billion active IoT terminals in 2022. Therefore, the increasing adoption of IoT devices is driving the enterprise artificial intelligence market.

Technological advancements are a significant trend gaining traction in the enterprise artificial intelligence market. Leading companies in this sector are focused on developing innovative technological solutions to strengthen their market position. For example, in September 2023, Ernst & Young, a UK-based professional services network, launched the artificial intelligence platform EY.ai. This platform assists organizations in integrating AI into their operations, enabling them to unlock new economic value and enhance efficiency across various business functions, including strategy, transactions, transformation, risk, assurance, and tax. EY.ai features generative AI capabilities that empower client-serving teams to respond swiftly to business transformation priorities by providing advanced tools for data processing and insights generation.

Major companies operating in the enterprise artificial intelligence market are adopting a strategic partnership approach to accelerate enterprise AI adoption. Strategic partnerships refer to a process in which companies leverage each other's strengths and resources to achieve mutual benefits and success. For instance, in October 2022, Oracle Corporation, a US-based computer technology firm, announced a strategic partnership with Nvidia Corporation to assist companies in resolving business difficulties with faster computing and AI. The cooperation seeks to deliver the whole NVIDIA accelerated computing stack to Oracle Cloud Infrastructure (OCI), from GPUs to computers to software. OCI is expanding its capacity by tens of thousands of NVIDIA GPUs, encompassing the A100 and the forthcoming H100. When combined with OCI's AI cloud architecture of bare metal, cluster networking, and storage, this gives organizations a diverse set of alternatives for AI training and deep learning inference at scale. Oracle's extended partnership with NVIDIA will bring together the best of both companies' expertise to assist clients across industries, from medical and industrial to telecommunications, banking, and finance, in overcoming the numerous difficulties they confront. Nvidia Corporation is a US-based artificial intelligence company.

In March 2022, Microsoft Corporation, a US-based technology corporation that produces computer software, acquired Nuance Communications for an undisclosed amount. Through this acquisition combination of conversational AI and ambient intelligence and Microsoft's secure and reliable industry cloud offerings, businesses across all sectors would be able to provide more individualised and meaningful customer experiences. Nuance Communications Inc. is a US-based computer software technology corporation and AI software leader, representing decades of accumulated healthcare and enterprise AI experience.

Major companies operating in the enterprise artificial intelligence market include International Business Machines (IBM), Wipro Limited, Amazon Web Services, Intel Corporation, Google LLC, SAP SE, Oracle Corporation, Hewlett Packard Enterprise, IPsoft Inc., MicroStrategy Incorporated, NVIDIA Corporation, Verint Systems Inc., SAS Institute Inc., Accenture plc, Appen Limited., Dataiku Ltd., DataRobot Inc., Dell Technologies Inc., Deloitte Touche Tohmatsu Limited, Freenome Holdings Inc., Infosys Limited, KPMG International Limited, Mindtree Limited, NTT DATA Group Corporation, Palantir Technologies, PricewaterhouseCoopers International Ltd., Salesforce Inc., Samsung Group

North America was the largest region in the enterprise artificial intelligence market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the enterprise artificial intelligence market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the enterprise artificial intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The enterprise artificial intelligence market includes revenues earned by entities by providing business intelligence and customer management. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Enterprise Artificial Intelligence Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on enterprise artificial intelligence market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for enterprise artificial intelligence ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The enterprise artificial intelligence market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Component: Solution; Service
• 2) By Technology: Machine Learning; Natural Language Processing (NLP); Image Processing; Speech Recognition
• 3) By Deployment Type: Cloud; On-Premise
• 4) By Application: Security And Risk Management; Marketing Management; Customer Support And Experience; Human Resource And Recruitment Management; Analytics Application; Process Automation
• 5) By Industry: Retail; Healthcare; Automotive; Banking And Financial Services; Media And Entertainment; Other Industries
• Subsegments:
• 1) By Solution: Machine Learning Platforms; Natural Language Processing (NLP) Tools; Computer Vision Solutions; Robotic Process Automation (RPA); AI-Powered Analytics Tools
• 2) By Service: Consulting Services; Implementation Services; Managed AI Services; Training And Support Services
• Companies Mentioned: International Business Machines (IBM); Wipro Limited; Amazon Web Services; Intel Corporation; Google LLC
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Enterprise Artificial Intelligence Market Characteristics

3. Enterprise Artificial Intelligence Market Trends And Strategies

4. Enterprise Artificial Intelligence Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Enterprise Artificial Intelligence Growth Analysis And Strategic Analysis Framework

• 5.1. Global Enterprise Artificial Intelligence PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 5.2. Analysis Of End Use Industries
• 5.3. Global Enterprise Artificial Intelligence Market Growth Rate Analysis
• 5.4. Global Enterprise Artificial Intelligence Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global Enterprise Artificial Intelligence Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global Enterprise Artificial Intelligence Total Addressable Market (TAM)

6. Enterprise Artificial Intelligence Market Segmentation

• 6.1. Global Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Solution
• Service
• 6.2. Global Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Machine Learning
• Natural Language Processing (NLP)
• Image Processing
• Speech Recognition
• 6.3. Global Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Cloud
• On-Premise
• 6.4. Global Enterprise Artificial Intelligence Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Security And Risk Management
• Marketing Management
• Customer Support And Experience
• Human Resource And Recruitment Management
• Analytics Application
• Process Automation
• 6.5. Global Enterprise Artificial Intelligence Market, Segmentation By Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Retail
• Healthcare
• Automotive
• Banking And Financial Services
• Media And Entertainment
• Other Industries
• 6.6. Global Enterprise Artificial Intelligence Market, Sub-Segmentation Of Solution, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Machine Learning Platforms
• Natural Language Processing (NLP) Tools
• Computer Vision Solutions
• Robotic Process Automation (RPA)
• AI-Powered Analytics Tools
• 6.7. Global Enterprise Artificial Intelligence Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Consulting Services
• Implementation Services
• Managed AI Services
• Training And Support Services

7. Enterprise Artificial Intelligence Market Regional And Country Analysis

• 7.1. Global Enterprise Artificial Intelligence Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Enterprise Artificial Intelligence Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Enterprise Artificial Intelligence Market

• 8.1. Asia-Pacific Enterprise Artificial Intelligence Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Enterprise Artificial Intelligence Market

• 9.1. China Enterprise Artificial Intelligence Market Overview
• 9.2. China Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Enterprise Artificial Intelligence Market

• 10.1. India Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Enterprise Artificial Intelligence Market

• 11.1. Japan Enterprise Artificial Intelligence Market Overview
• 11.2. Japan Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Enterprise Artificial Intelligence Market

• 12.1. Australia Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Enterprise Artificial Intelligence Market

• 13.1. Indonesia Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Enterprise Artificial Intelligence Market

• 14.1. South Korea Enterprise Artificial Intelligence Market Overview
• 14.2. South Korea Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Enterprise Artificial Intelligence Market

• 15.1. Western Europe Enterprise Artificial Intelligence Market Overview
• 15.2. Western Europe Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Enterprise Artificial Intelligence Market

• 16.1. UK Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Enterprise Artificial Intelligence Market

• 17.1. Germany Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Enterprise Artificial Intelligence Market

• 18.1. France Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Enterprise Artificial Intelligence Market

• 19.1. Italy Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Enterprise Artificial Intelligence Market

• 20.1. Spain Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Enterprise Artificial Intelligence Market

• 21.1. Eastern Europe Enterprise Artificial Intelligence Market Overview
• 21.2. Eastern Europe Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Enterprise Artificial Intelligence Market

• 22.1. Russia Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Enterprise Artificial Intelligence Market

• 23.1. North America Enterprise Artificial Intelligence Market Overview
• 23.2. North America Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Enterprise Artificial Intelligence Market

• 24.1. USA Enterprise Artificial Intelligence Market Overview
• 24.2. USA Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Enterprise Artificial Intelligence Market

• 25.1. Canada Enterprise Artificial Intelligence Market Overview
• 25.2. Canada Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Enterprise Artificial Intelligence Market

• 26.1. South America Enterprise Artificial Intelligence Market Overview
• 26.2. South America Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Enterprise Artificial Intelligence Market

• 27.1. Brazil Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Enterprise Artificial Intelligence Market

• 28.1. Middle East Enterprise Artificial Intelligence Market Overview
• 28.2. Middle East Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Enterprise Artificial Intelligence Market

• 29.1. Africa Enterprise Artificial Intelligence Market Overview
• 29.2. Africa Enterprise Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Enterprise Artificial Intelligence Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Enterprise Artificial Intelligence Market, Segmentation By Deployment Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Enterprise Artificial Intelligence Market Competitive Landscape And Company Profiles

• 30.1. Enterprise Artificial Intelligence Market Competitive Landscape
• 30.2. Enterprise Artificial Intelligence Market Company Profiles
  • 30.2.1. International Business Machines (IBM) Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Wipro Limited Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Amazon Web Services Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Google LLC Overview, Products and Services, Strategy and Financial Analysis

31. Enterprise Artificial Intelligence Market Other Major And Innovative Companies

• 31.1. SAP SE
• 31.2. Oracle Corporation
• 31.3. Hewlett Packard Enterprise
• 31.4. IPsoft Inc.
• 31.5. MicroStrategy Incorporated
• 31.6. NVIDIA Corporation
• 31.7. Verint Systems Inc.
• 31.8. SAS Institute Inc.
• 31.9. Accenture plc
• 31.10. Appen Limited.
• 31.11. Dataiku Ltd.
• 31.12. DataRobot Inc.
• 31.13. Dell Technologies Inc.
• 31.14. Deloitte Touche Tohmatsu Limited
• 31.15. Freenome Holdings Inc.

32. Global Enterprise Artificial Intelligence Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Enterprise Artificial Intelligence Market

34. Recent Developments In The Enterprise Artificial Intelligence Market

35. Enterprise Artificial Intelligence Market High Potential Countries, Segments and Strategies

• 35.1 Enterprise Artificial Intelligence Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Enterprise Artificial Intelligence Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Enterprise Artificial Intelligence Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer