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市場調查報告書

商品編碼

1698334

企業生成人工智慧市場機會、成長動力、產業趨勢分析及 2025-2034 年預測

Enterprise Generative AI Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025-2034

出版日期: 2025年02月06日 | 出版商:

Global Market Insights Inc. | 英文 175 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

2024 年全球企業生成式人工智慧市場價值為 41 億美元，預計 2025 年至 2034 年期間的複合年成長率將達到 33.2%。企业越来越多地利用生成式人工智慧进行内容生成、客户参与、软件开发和财务分析。透過自動執行重複性任務，人工智慧可以提高效率、降低營運成本並最佳化生產力。自動化工具可以產生商業信函、行銷材料、法律文件甚至軟體應用程式，從而簡化各行業的工作流程。報告顯示，近四分之三的企業已經將人工智慧驅動的自動化融入營運中，其中超過一半的企業計劃在 2026 年之前進一步投資。

各組織也正在部署人工智慧來監控網路安全威脅、偵測詐欺並降低安全風險。人工智慧系統分析交易、網路流量和用戶行為以識別可疑活動。金融、電子商務和網路安全領域正在利用深度學習演算法來加強安全框架。該公司正在積極開發由人工智慧驅動的解決方案來增強網路安全防禦，並結合檢測深度偽造和保護敏感資料的工具。

市場範圍
起始年份	2024
預測年份	2025-2034
起始值	41億美元
預測值	674億美元
複合年成長率	33.2％

就組件而言，市場分為軟體和服務。 2024 年，軟體領域佔據了超過 65% 的市場佔有率，預計到 2034 年將超過 350 億美元。行業特定的人工智慧應用在金融、醫療保健和零售領域越來越受歡迎，可提供客製化的見解並支援複雜的決策。金融領域正在採用人工智慧驅動的合規解決方案來實現報告自動化，確保遵守法規並降低風險。企業擴大尋求可自訂的人工智慧軟體，促使供應商增強 API、引入無程式碼平台並開發需要最低限度技術專長的自學習演算法。這些創新正在加速人工智慧在各個領域的應用。

CRM 和 ERP 系統等企業工具正在整合生成式 AI 來提取見解並實現關鍵流程的自動化。人工智慧分析平台透過產生報告、追蹤趨勢和提供預測分析來促進數據驅動的決策。金融機構利用人工智慧進行即時交易監控、詐欺偵測和風險評估。人工智慧模型評估信用度、產生合規報告並識別洗錢活動，使金融流程更加安全、有效率。人工智慧虛擬助理和聊天機器人可以管理客戶互動、提供財務指導並自動化索賠處理，從而提高客戶服務和營運效率。銀行和保險公司利用人工智慧進行監管報告和審計，提高準確性，同時最大限度地減少人工工作。

根據應用，市場分為內容創作、產品開發、客戶支援、行銷和供應鏈管理。內容創作領域引領市場，2024 年創造的價值超過 10 億美元。該公司正在使用人工智慧製作有針對性的行銷文案、SEO 最佳化文章和數位內容，從而大幅降低成本並提高產量。人工智慧工具使企業能夠快速產生用於廣告和電子商務的高品質視覺和書面內容。人工智慧驅動的平台支援企業管理內容策略、自動化工作流程和增強數位參與度。

在部署方面，市場分為內部部署和基於雲端的解決方案。 2024 年，雲端運算領域佔據了近 70% 的市場。企業青睞基於雲端的人工智慧，因為它具有靈活性、成本效益和可擴展性。雲端託管的 AI 模型可無縫存取高級 AI 功能，而無需大量的現場基礎設施。企業利用基於雲端的人工智慧工具來自動產生報告、執行商業智慧任務並簡化協作。人工智慧驅動的系統處理大量結構化和非結構化資料，最佳化企業營運。

零售、金融和醫療保健領域的組織正在整合人工智慧聊天機器人和虛擬助手，以實現個人化客戶互動。

北美仍然是人工智慧的領先採用者，美國企業利用人工智慧進行風險評估、自動索賠處理和預測分析。金融和醫療保健行業正在採用人工智慧來檢測詐欺行為、簡化合規性並加強患者護理。領先的雲端供應商正在提供 AI 即服務解決方案，使各種規模的企業都可以使用生成性 AI。對人工智慧新創企業的投資持續推動創新，加速各行各業對生成式人工智慧的應用。

產業生態系統分析
- 人工智慧軟體供應商
- 服務提供者
- 數據提供者
- 系統整合商
- 最終用途
供應商格局
利潤率分析
技術與創新格局
專利分析
重要新聞和舉措
監管格局
產生人工智慧對勞動力和工作角色的影響
案例研究
衝擊力
- 成長動力
  - 越來越多的企業採用人工智慧驅動的自動化
  - 人工智慧內容創作的進步
  - 對人工智慧驅動的客戶支援和虛擬助理的需求不斷成長
  - 生成式人工智慧與雲端運算的日益融合
- 產業陷阱與挑戰
  - 人工智慧生成內容面臨的道德和監管挑戰
  - 高運算成本和基礎設施需求
成長潛力分析
波特的分析
PESTEL 分析

第4章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第5章：市場估計與預測：按組件，2021 - 2034 年

主要趨勢
軟體
服務

第6章：市場估計與預測：依部署模型，2021 - 2034 年

主要趨勢
本地
雲

第7章：市場估計與預測：依模型，2021 - 2034 年

主要趨勢
文字
影像
聲音的
程式碼

第8章：市場估計與預測：依技術分類，2021 - 2034 年

主要趨勢
生成對抗網路 (GAN)
變形金剛模型
變分自編碼器
擴散模型
其他

第9章：市場估計與預測：按應用，2021 - 2034

主要趨勢
內容創作
產品設計與開發
客戶服務與支援
行銷與個人化
供應鏈管理
其他

第10章：市場估計與預測：依最終用途，2021 - 2034 年

主要趨勢
衛生保健
零售與電子商務
製造業
金融服務業
媒體和娛樂
汽車
IT與電信
其他

第 11 章：市場估計與預測：按地區，2021 年至 2034 年

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 俄羅斯
- 北歐人
亞太地區
- 中國
- 印度
- 日本
- 澳洲
- 韓國
- 東南亞
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
中東及非洲
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯

第12章：公司簡介

Accenture
Adobe
AWS
Baidu
C3.ai
DeepMind Technologies
Google
H20.ai
IBM
Intel
Jasper.ai
Microsoft
Nvidia
NVIDIA
OpenAI
Oracle
Qualcomm
Salesforce
SAP
UiPath

簡介目錄

Product Code: 13161

The Global Enterprise Generative AI Market was valued at USD 4.1 billion in 2024 and is projected to expand at a CAGR of 33.2% between 2025 and 2034. Businesses are increasingly leveraging generative AI for content generation, customer engagement, software development, and financial analysis. By automating repetitive tasks, AI enhances efficiency, reduces operational costs, and optimizes productivity. Automated tools generate business correspondence, marketing materials, legal documents, and even software applications, streamlining workflows across industries. Reports indicate that nearly three-quarters of enterprises have already integrated AI-driven automation into their operations, with more than half planning further investments by 2026.

Organizations are also deploying AI to monitor cybersecurity threats, detect fraud, and mitigate security risks. AI-powered systems analyze transactions, network traffic, and user behavior to identify suspicious activities. The financial, e-commerce, and cybersecurity sectors are utilizing deep learning algorithms to fortify security frameworks. Companies are actively developing AI-driven solutions to enhance cybersecurity defenses, incorporating tools that detect deepfakes and secure sensitive data.

Market Scope
Start Year	2024
Forecast Year	2025-2034
Start Value	$4.1 Billion
Forecast Value	$67.4 Billion
CAGR	33.2%

In terms of components, the market is categorized into software and services. The software segment accounted for over 65% of the market in 2024 and is anticipated to surpass USD 35 billion by 2034. Industry-specific AI applications are gaining traction in finance, healthcare, and retail, offering tailored insights and enabling complex decision-making. AI-driven compliance solutions are being adopted in the financial sector to automate reporting, ensuring regulatory adherence while reducing risks. Businesses are increasingly seeking customizable AI software, prompting providers to enhance APIs, introduce no-code platforms, and develop self-learning algorithms that require minimal technical expertise. These innovations are accelerating AI adoption across diverse sectors.

Enterprise tools such as CRM and ERP systems are integrating generative AI to extract insights and automate key processes. AI analytics platforms facilitate data-driven decision-making by generating reports, tracking trends, and offering predictive analytics. Financial institutions leverage AI for real-time transaction monitoring, fraud detection, and risk assessment. AI models assess creditworthiness, generate compliance reports, and identify money laundering activities, making financial processes more secure and efficient. AI-powered virtual assistants and chatbots manage client interactions, provide financial guidance, and automate claims processing, improving both customer service and operational efficiency. Banks and insurance firms utilize AI for regulatory reporting and audits, enhancing accuracy while minimizing manual effort.

By application, the market is segmented into content creation, product development, customer support, marketing, and supply chain management. The content creation segment led the market, generating over USD 1 billion in 2024. Companies are using AI to produce targeted marketing copy, SEO-optimized articles, and digital content, significantly cutting costs while increasing output. AI-powered tools enable businesses to rapidly generate high-quality visual and written content for advertising and e-commerce. AI-driven platforms support enterprises in managing content strategies, automating workflows, and enhancing digital engagement.

In terms of deployment, the market is divided into on-premises and cloud-based solutions. The cloud segment accounted for nearly 70% of the market in 2024. Companies prefer cloud-based AI due to its flexibility, cost-effectiveness, and scalability. Cloud-hosted AI models provide seamless access to advanced AI capabilities without requiring extensive on-site infrastructure. Businesses utilize cloud-based AI tools for automating reports, executing business intelligence tasks, and streamlining collaboration. AI-driven systems process vast amounts of structured and unstructured data, optimizing enterprise operations.

Organizations across retail, finance, and healthcare are integrating AI-powered chatbots and virtual assistants to personalize customer interactions.

North America remains a leading adopter, with businesses in the United States leveraging AI for risk assessment, automated claims processing, and predictive analytics. The financial and healthcare sectors are incorporating AI to detect fraud, streamline compliance, and enhance patient care. Leading cloud providers are offering AI-as-a-Service solutions, making generative AI accessible to enterprises of all sizes. Investments in AI startups continue to drive innovation, accelerating the adoption of generative AI across industries.

Chapter 1 Methodology & Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates & calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimation
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market scope & definition

Chapter 2 Executive Summary

2.1 Industry synopsis, 2021 - 2034

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
- 3.1.1 AI software providers
- 3.1.2 Service providers
- 3.1.3 Data providers
- 3.1.4 System integrators
- 3.1.5 End use
3.2 Supplier landscape
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Key news & initiatives
3.7 Regulatory landscape
3.8 Impact of generative AI on workforce and job roles
3.9 Case studies
3.10 Impact forces
- 3.10.1 Growth drivers
  - 3.10.1.1 Increasing enterprise adoption of AI-driven automation
  - 3.10.1.2 Advancements in AI-powered content creation
  - 3.10.1.3 Rising demand for AI-driven customer support and virtual assistants
  - 3.10.1.4 Growing integration of generative AI with cloud computing
- 3.10.2 Industry pitfalls & challenges
  - 3.10.2.1 Ethical and regulatory challenges surrounding AI-generated content
  - 3.10.2.2 High computational costs and infrastructure requirements
3.11 Growth potential analysis
3.12 Porter's analysis
3.13 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)

5.1 Key trends
5.2 Software
5.3 Services

Chapter 6 Market Estimates & Forecast, By Deployment Model, 2021 - 2034 ($Bn)

6.1 Key trends
6.2 On-premises
6.3 Cloud

Chapter 7 Market Estimates & Forecast, By Model, 2021 - 2034 ($Bn)

7.1 Key trends
7.2 Text
7.3 Image
7.4 Audio
7.5 Code

Chapter 8 Market Estimates & Forecast, By Technology, 2021 - 2034 ($Bn)

8.1 Key trends
8.2 Generative Adversarial Networks (GANs)
8.3 Transformers model
8.4 Variational auto-encoders
8.5 Diffusion models
8.6 Others

Chapter 9 Market Estimates & Forecast, By Application, 2021 - 2034 ($Bn)

9.1 Key trends
9.2 Content creation
9.3 Product design & development
9.4 Customer service & support
9.5 Marketing & personalization
9.6 Supply chain management
9.7 Others

Chapter 10 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Bn)

10.1 Key trends
10.2 Healthcare
10.3 Retail and e-commerce
10.4 Manufacturing
10.5 BFSI
10.6 Media and entertainment
10.7 Automotive
10.8 IT & telecom
10.9 Others

Chapter 11 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn, Units)

11.1 Key trends
11.2 North America
- 11.2.1 U.S.
- 11.2.2 Canada
11.3 Europe
- 11.3.1 UK
- 11.3.2 Germany
- 11.3.3 France
- 11.3.4 Italy
- 11.3.5 Spain
- 11.3.6 Russia
- 11.3.7 Nordics
11.4 Asia Pacific
- 11.4.1 China
- 11.4.2 India
- 11.4.3 Japan
- 11.4.4 Australia
- 11.4.5 South Korea
- 11.4.6 Southeast Asia
11.5 Latin America
- 11.5.1 Brazil
- 11.5.2 Mexico
- 11.5.3 Argentina
11.6 MEA
- 11.6.1 UAE
- 11.6.2 South Africa
- 11.6.3 Saudi Arabia