 |
市場調查報告書
商品編碼
1915676
2025-2029年全球企業生成式人工智慧市場Global Enterprise Generative AI Market 2025-2029 |
||||||
全球企業生成式人工智慧市場預計將從 2024 年到 2029 年成長 92.435 億美元，預測期內複合年成長率為 36.2%。
本報告對全球企業生成式人工智慧市場進行了全面分析，包括市場規模和預測、趨勢、成長要素和挑戰，以及對約 25 家供應商的分析。
本報告對當前市場格局、最新趨勢和促進因素以及整體市場環境進行了最新分析。市場成長要素包括對超自動化和營運效率的強勁需求、易於使用的AI平台和活性化的開發者生態系統的普及、日益激烈的競爭壓力以及對新收入來源的探索。
本研究採用客觀的方法，結合一手和二手訊息，包括來自主要行業相關人員的意見。報告包含全面的市場規模數據、區域細分分析、供應商格局以及對主要企業的分析。報告提供歷史數據和預測數據。
| 市場覆蓋範圍 | |
|---|---|
| 基準年 | 2025 |
| 目標期 | 2029 |
| 預測期 | 2025-2029 |
| 成長勢頭 | 加速度 |
| 2025年與前一年相比 | 30.7% |
| 複合年成長率 | 36.2% |
| 增量 | 92.435億美元 |
研究指出，多模態和領域特定基礎設施模型的轉變是未來幾年推動全球企業級生成式人工智慧市場成長的關鍵因素之一。此外，透過企業級平台和管治框架實現生成式人工智慧的運營，以及垂直整合的加速和封閉生態系統的構建，預計也將為市場帶來巨大的需求。
目錄
第1章執行摘要
第2章 Technavio 分析
- 價格回應性、生命週期、顧客購買籃子、採納率和購買標準分析
- 投入與差異化因素的重要性
- 混淆來源
- 促進因素和挑戰的影響
第3章 市場情勢
- 市場生態系統
- 市場特徵
- 價值鏈分析
第4章 市場規模
- 市場定義
- 市場區隔分析
- 2024年市場規模
- 2024-2029年市場展望
第5章五力分析
- 五力分析概述
- 買方的議價能力
- 供應商的議價能力
- 新進入者的威脅
- 替代品的威脅
- 競爭威脅
- 市場狀況
6. 按技術分類的市場細分
- 比較：按技術
- 大規模語言模型（LLM）
- 針對特定字段
- 多模態模型
- 開放原始碼
- 科技市場機遇
第7章 按應用程式進行市場區隔
- 比較：按應用
- 內容創作
- 程式碼生成
- 數據增強
- 其他
- 按應用分類的市場機會
8. 依部署方式進行市場區隔
- 比較：依部署方式
- 基於雲端的
- 混合
- 本地部署
- 按部署方式分類的市場機會
第9章 客戶狀況
第10章 區域情勢
- 區域細分
- 區域比較
- 北美洲
- 美國
- 加拿大
- 墨西哥
- 亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 歐洲
- 德國
- 英國
- 法國
- 荷蘭
- 西班牙
- 義大利
- 中東和非洲
- 阿拉伯聯合大公國
- 沙烏地阿拉伯
- 以色列
- 南非
- 土耳其
- 南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 各區域的市場機遇
第11章：促進因素、挑戰與機遇
- 市場促進因素
- 市場挑戰
- 促進因素和挑戰的影響
- 市場機遇
第12章 競爭格局
- 概述
- 競爭格局
- 令人困惑的局面
- 產業風險
第13章 競爭分析
- 公司簡介
- 企業排名指數
- 公司市場定位
- Adobe Inc.
- Amazon Web Services Inc.
- Anthropic
- Cohere
- Databricks Inc.
- Google Cloud
- Hugging Face
- IBM Corp.
- Microsoft Corp.
- NVIDIA Corp.
- OpenAI
- Oracle Corp.
- Salesforce Inc.
- ServiceNow Inc.
- Snowflake Inc.
第14章附錄
The global enterprise generative AI market is forecasted to grow by USD 9243.5 mn during 2024-2029, accelerating at a CAGR of 36.2% during the forecast period. The report on the global enterprise generative AI market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by surging demand for hyper-automation and operational efficiency, proliferation of accessible AI platforms and a flourishing developer ecosystem, intensifying competitive pressures and pursuit of novel revenue streams.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
| Market Scope | |
|---|---|
| Base Year | 2025 |
| End Year | 2029 |
| Series Year | 2025-2029 |
| Growth Momentum | Accelerate |
| YOY 2025 | 30.7% |
| CAGR | 36.2% |
| Incremental Value | $9243.5 mn |
Technavio's global enterprise generative AI market is segmented as below:
By Technology
- LLMs
- Domain-specific
- Multimodal models
- Open-source
By Application
- Content creation
- Code generation
- Data augmentation
- Others
By Deployment
- Cloud-based
- Hybrid
- On-premises
Geography
- North America
- US
- Canada
- Mexico
- APAC
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Europe
- Germany
- UK
- France
- The Netherlands
- Spain
- Italy
- Middle East and Africa
- UAE
- South Africa
- Turkey
- South America
- Brazil
- Argentina
- Colombia
- Rest of World (ROW)
This study identifies the shift towards multimodal and domain specific foundation models as one of the prime reasons driving the global enterprise generative AI market growth during the next few years. Also, operationalization of generative AI through enterprise grade platforms and governance frameworks and accelerating vertical integration and creation of walled ecosystems will lead to sizable demand in the market.
The report on the global enterprise generative AI market covers the following areas:
- Global enterprise generative AI market sizing
- Global enterprise generative AI market forecast
- Global enterprise generative AI market industry analysis
The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global enterprise generative AI market vendors that include Adobe Inc., AI21 Labs, Amazon Web Services Inc., Anthropic, Cohere, Databricks Inc., Google Cloud, Hugging Face, IBM Corp., Meta Platforms Inc., Microsoft Corp., Mistral AI, NVIDIA Corp., OpenAI, Oracle Corp., Salesforce Inc., SAP SE, Scale, ServiceNow Inc., Snowflake Inc.. Also, the global enterprise generative AI market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.
The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Technology
- Executive Summary - Chart on Market Segmentation by Application
- Executive Summary - Chart on Market Segmentation by Deployment
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- 2.3 Factors of disruption
- 2.4 Impact of drivers and challenges
3 Market Landscape
- 3.1 Market ecosystem
- 3.2 Market characteristics
- 3.3 Value chain analysis
4 Market Sizing
- 4.1 Market definition
- 4.2 Market segment analysis
- Market segments
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
5 Five Forces Analysis
- 5.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 5.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 5.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 5.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 5.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 5.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 5.7 Market condition
6 Market Segmentation by Technology
- 6.1 Market segments
- 6.2 Comparison by Technology
- 6.3 LLMs - Market size and forecast 2024-2029
- 6.4 Domain-specific - Market size and forecast 2024-2029
- 6.5 Multimodal models - Market size and forecast 2024-2029
- 6.6 Open-source - Market size and forecast 2024-2029
- 6.7 Market opportunity by Technology
- Market opportunity by Technology ($ million)
7 Market Segmentation by Application
- 7.1 Market segments
- 7.2 Comparison by Application
- 7.3 Content creation - Market size and forecast 2024-2029
- 7.4 Code generation - Market size and forecast 2024-2029
- 7.5 Data augmentation - Market size and forecast 2024-2029
- 7.6 Others - Market size and forecast 2024-2029
- 7.7 Market opportunity by Application
- Market opportunity by Application ($ million)
8 Market Segmentation by Deployment
- 8.1 Market segments
- 8.2 Comparison by Deployment
- 8.3 Cloud-based - Market size and forecast 2024-2029
- 8.4 Hybrid - Market size and forecast 2024-2029
- 8.5 On-premises - Market size and forecast 2024-2029
- 8.6 Market opportunity by Deployment
- Market opportunity by Deployment ($ million)
9 Customer Landscape
- 9.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
10 Geographic Landscape
- 10.1 Geographic segmentation
- 10.2 Geographic comparison
- 10.3 North America - Market size and forecast 2024-2029
- 10.3.1 US - Market size and forecast 2024-2029
- 10.3.2 Canada - Market size and forecast 2024-2029
- 10.3.3 Mexico - Market size and forecast 2024-2029
- 10.4 APAC - Market size and forecast 2024-2029
- 10.4.1 China - Market size and forecast 2024-2029
- 10.4.2 Japan - Market size and forecast 2024-2029
- 10.4.3 India - Market size and forecast 2024-2029
- 10.4.4 South Korea - Market size and forecast 2024-2029
- 10.4.5 Australia - Market size and forecast 2024-2029
- 10.4.6 Indonesia - Market size and forecast 2024-2029
- 10.5 Europe - Market size and forecast 2024-2029
- 10.5.1 Germany - Market size and forecast 2024-2029
- 10.5.2 UK - Market size and forecast 2024-2029
- 10.5.3 France - Market size and forecast 2024-2029
- 10.5.4 The Netherlands - Market size and forecast 2024-2029
- 10.5.5 Spain - Market size and forecast 2024-2029
- 10.5.6 Italy - Market size and forecast 2024-2029
- 10.6 Middle East and Africa - Market size and forecast 2024-2029
- 10.6.1 UAE - Market size and forecast 2024-2029
- 10.6.2 Saudi Arabia - Market size and forecast 2024-2029
- 10.6.3 Israel - Market size and forecast 2024-2029
- 10.6.4 South Africa - Market size and forecast 2024-2029
- 10.6.5 Turkey - Market size and forecast 2024-2029
- 10.7 South America - Market size and forecast 2024-2029
- 10.7.1 Brazil - Market size and forecast 2024-2029
- 10.7.2 Argentina - Market size and forecast 2024-2029
- 10.7.3 Colombia - Market size and forecast 2024-2029
- 10.8 Market opportunity by geography
- Market opportunity by geography ($ million)
- Data Tables on Market opportunity by geography ($ million)
11 Drivers, Challenges, and Opportunity
- 11.1 Market drivers
- Surging demand for hyper-automation and operational efficiency
- Proliferation of accessible AI platforms and a flourishing developer ecosystem
- Intensifying competitive pressures and pursuit of novel revenue streams
- 11.2 Market challenges
- Navigating data privacy, security, and intellectual property complexities
- Prohibitive implementation costs and a critical shortage of specialized talent
- Addressing ethical dilemmas, model inaccuracies, and an unsettled regulatory landscape
- 11.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 11.4 Market opportunities
- Shift towards multimodal and domain specific foundation models
- Operationalization of generative AI through enterprise grade platforms and governance frameworks
- Accelerating vertical integration and creation of walled ecosystems
12 Competitive Landscape
- 12.1 Overview
- 12.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 12.3 Landscape disruption
- Overview on factors of disruption
- 12.4 Industry risks
- Impact of key risks on business
13 Competitive Analysis
- 13.1 Companies profiled
- Companies covered
- 13.2 Company ranking index
- Company ranking index
- 13.3 Market positioning of companies
- Matrix on companies position and classification
- 13.4 Adobe Inc.
- Adobe Inc. - Overview
- Adobe Inc. - Business segments
- Adobe Inc. - Key news
- Adobe Inc. - Key offerings
- Adobe Inc. - Segment focus
- SWOT
- 13.5 Amazon Web Services Inc.
- Amazon Web Services Inc. - Overview
- Amazon Web Services Inc. - Product / Service
- Amazon Web Services Inc. - Key news
- Amazon Web Services Inc. - Key offerings
- SWOT
- 13.6 Anthropic
- Anthropic - Overview
- Anthropic - Product / Service
- Anthropic - Key offerings
- SWOT
- 13.7 Cohere
- Cohere - Overview
- Cohere - Product / Service
- Cohere - Key offerings
- SWOT
- 13.8 Databricks Inc.
- Databricks Inc. - Overview
- Databricks Inc. - Product / Service
- Databricks Inc. - Key offerings
- SWOT
- 13.9 Google Cloud
- Google Cloud - Overview
- Google Cloud - Product / Service
- Google Cloud - Key offerings
- SWOT
- 13.10 Hugging Face
- Hugging Face - Overview
- Hugging Face - Product / Service
- Hugging Face - Key offerings
- SWOT
- 13.11 IBM Corp.
- IBM Corp. - Overview
- IBM Corp. - Business segments
- IBM Corp. - Key news
- IBM Corp. - Key offerings
- IBM Corp. - Segment focus
- SWOT
- 13.12 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 13.13 NVIDIA Corp.
- NVIDIA Corp. - Overview
- NVIDIA Corp. - Business segments
- NVIDIA Corp. - Key news
- NVIDIA Corp. - Key offerings
- NVIDIA Corp. - Segment focus
- SWOT
- 13.14 OpenAI
- OpenAI - Overview
- OpenAI - Product / Service
- OpenAI - Key offerings
- SWOT
- 13.15 Oracle Corp.
- Oracle Corp. - Overview
- Oracle Corp. - Business segments
- Oracle Corp. - Key news
- Oracle Corp. - Key offerings
- Oracle Corp. - Segment focus
- SWOT
- 13.16 Salesforce Inc.
- Salesforce Inc. - Overview
- Salesforce Inc. - Product / Service
- Salesforce Inc. - Key news
- Salesforce Inc. - Key offerings
- SWOT
- 13.17 ServiceNow Inc.
- ServiceNow Inc. - Overview
- ServiceNow Inc. - Product / Service
- ServiceNow Inc. - Key news
- ServiceNow Inc. - Key offerings
- SWOT
- 13.18 Snowflake Inc.
- Snowflake Inc. - Overview
- Snowflake Inc. - Product / Service
- Snowflake Inc. - Key offerings
- SWOT
14 Appendix
- 14.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 14.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 14.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 14.4 Research methodology
- Research methodology
- 14.5 Data procurement
- Information sources
- 14.6 Data validation
- Data validation
- 14.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 14.8 Data synthesis
- Data synthesis
- 14.9 360 degree market analysis
- 360 degree market analysis
- 14.10 List of abbreviations
- List of abbreviations
