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市場調查報告書
商品編碼
1664865
垂直 AI 市場機會、成長動力、產業趨勢分析及 2025 - 2034 年預測Vertical AI Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034 |
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2024 年全球垂直人工智慧市場價值為 102 億美元，預計在 2025 年至 2034 年期間將以驚人的 21.6% 的複合年成長率擴張。這些客製化工具使企業能夠提高營運效率、解決專門問題並最佳化工作流程——而這些是通用人工智慧通常所缺乏的領域。對滿足特定行業需求的解決方案的需求激增，推動了垂直人工智慧的廣泛應用。
市場分為本地、雲端和混合部署模式，其中基於雲端的解決方案佔據主導地位。 2024 年，雲端運算佔據了 60% 的市場佔有率，預計到 2034 年將創造驚人的 400 億美元的收入。這種適應性對於需要高級 AI 功能的數據密集型行業尤其有利。此外，按使用量付費定價模式的可承受性加速了各種規模的組織，尤其是中小型企業 (SME) 對雲端運算的採用。
| 市場範圍 | |
|---|---|
| 起始年份 | 2024 |
| 預測年份 | 2025-2034 |
| 起始值 | 102億美元 |
| 預測值 | 696億美元 |
| 複合年成長率 | 21.6％ |
垂直人工智慧解決方案建立在尖端技術之上，包括機器學習、深度學習、自然語言處理、電腦視覺和機器人技術。其中，機器學習成為領跑者，在2024年佔據了36%的市場佔有率。隨著機器學習模型的不斷進步，其改進決策過程的能力確保了其在各個行業中的應用越來越廣泛。
2024年北美佔據垂直AI市場40%的營收佔有率，鞏固其全球領先地位。該地區先進的技術基礎設施和對數位轉型的不懈關注催化了眾多產業人工智慧解決方案的整合。對人工智慧創新的大量投資、政府的支持性政策和強勁的創投資金刺激了以人工智慧為重點的新創企業的成長。這些因素正在推動客製化垂直人工智慧應用程式的發展，進一步推動北美市場的成長。
報告內容
第 1 章：方法論與範圍
- 研究設計
- 研究方法
- 資料收集方法
- 基礎估算與計算
- 基準年計算
- 市場估計的主要趨勢
- 預測模型
- 初步研究和驗證
- 主要來源
- 資料探勘來源
- 市場範圍和定義
第 2 章：執行摘要
第 3 章：產業洞察
- 產業生態系統分析
- 硬體提供者
- 軟體供應商
- 服務提供者
- 技術提供者
- 雲端服務供應商
- 最終用戶
- 供應商概況
- 利潤率分析
- 技術與創新格局
- 專利分析
- 重要新聞及舉措
- 監管格局
- 終端用戶對垂直人工智慧的認知與信任
- 衝擊力
- 成長動力
- 針對行業特定應用的人工智慧解決方案的需求不斷增加
- 人工智慧技術的進步
- 企業和政府大力投資人工智慧驅動轉型
- 擴大採用人工智慧來提高營運效率和決策能力
- 產業陷阱與挑戰
- 開發特定領域人工智慧解決方案的成本高且複雜
- 資料隱私和合規性挑戰
- 成長動力
- 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
- 硬體
- 軟體
- 服務
- 專業服務
- 託管服務
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
- 混合
第7章：市場估計與預測：依企業規模，2021 - 2034 年
- 主要趨勢
- 大型企業
- 中小企業
第 8 章：市場估計與預測：按技術，2021 - 2034 年
- 主要趨勢
- 機器學習
- 深度學習
- 自然語言處理
- 電腦視覺
- 機器人
- 其他
第 9 章：市場估計與預測：按最終用途，2021 - 2034 年
- 主要趨勢
- 衛生保健
- 臨床應用
- 藥物發現與開發
- 醫學影像
- 醫療保健業務
- 金融保險業協會
- 銀行業
- 投資與交易
- 保險
- 製造與工業
- 生產營運
- 供應鏈
- 工業物聯網
- 農業與耕作
- 作物管理
- 牲畜管理
- 精準農業
- 法律與合規
- 法律研究
- 合約管理
- 監理合規性
- 零售與電子商務
- 客戶體驗
- 營運
- 行銷與銷售
- 能源與公用事業
- 發電
- 能源交易
- 分配
- 再生能源
- 運輸與物流
- 車隊管理
- 供應鏈
- 基礎設施
- 其他
第 10 章：市場估計與預測：按地區，2021 - 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
- 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 11 章：公司簡介
- Atomwise
- BenevolentAI
- Blue River Technology
- BlueDot
- Bright Machines
- Ceres Imaging
- Databricks
- Deep Genomics
- Farmers Edge
- Harvey AI
- Insilico Medicine
- Narrative Science
- Nauto
- Paige AI
- Path AI
- Recursion Pharmaceuticals
- SenseTime
- Tempus
- Visiopharm
- Zymergen
The Global Vertical AI Market, valued at USD 10.2 billion in 2024, is poised to expand at an impressive CAGR of 21.6% from 2025 to 2034. Vertical AI stands out by delivering industry-specific solutions tailored to tackle unique challenges in sectors such as healthcare, automotive, manufacturing, and finance. These customized tools empower businesses to enhance operational efficiency, resolve specialized issues, and optimize workflows-areas where general AI often falls short. The surging demand for solutions addressing sector-specific needs is fueling the widespread adoption of vertical AI.
The market is segmented into on-premises, cloud, and hybrid deployment models, with cloud-based solutions dominating the space. In 2024, the cloud segment accounted for a commanding 60% market share, and it's projected to generate a staggering $40 billion by 2034. Cloud technology offers unparalleled scalability and cost-efficiency, enabling businesses to dynamically adjust computing resources without hefty hardware investments. This adaptability is particularly advantageous for data-intensive industries requiring advanced AI capabilities. Moreover, the affordability of pay-as-you-go pricing models has accelerated cloud adoption among organizations of all sizes, especially small and medium enterprises (SME).
| Market Scope | |
|---|---|
| Start Year | 2024 |
| Forecast Year | 2025-2034 |
| Start Value | $10.2 Billion |
| Forecast Value | $69.6 Billion |
| CAGR | 21.6% |
Vertical AI solutions are built on cutting-edge technologies, including machine learning, deep learning, natural language processing, computer vision, and robotics. Among these, machine learning emerged as the frontrunner, capturing 36% market share in 2024. This technology plays a pivotal role in analyzing historical data and predicting future trends, enabling businesses across sectors to make smarter, data-driven decisions. As machine learning models continue to advance, their ability to refine decision-making processes ensures increasing adoption across diverse industries.
North America held a 40% revenue share of the vertical AI market in 2024, solidifying its position as a global leader. The region's advanced technological infrastructure and relentless focus on digital transformation have catalyzed the integration of AI solutions across numerous industries. Significant investments in AI innovation, along with supportive government policies and robust venture capital funding, have spurred the growth of AI-focused startups. These factors are driving the development of tailored vertical AI applications, further propelling market growth in North America.
Report Content
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 3600 synopsis, 2021 - 2034
Chapter 3 Industry Insights
- 3.1 Industry ecosystem analysis
- 3.1.1 Hardware providers
- 3.1.2 Software providers
- 3.1.3 Service providers
- 3.1.4 Technology providers
- 3.1.5 Cloud service providers
- 3.1.6 End users
- 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 End-user perception and trust in vertical AI
- 3.9 Impact forces
- 3.9.1 Growth drivers
- 3.9.1.1 Increasing demand for AI solutions tailored to industry-specific applications
- 3.9.1.2 Advancements in AI technologies
- 3.9.1.3 Strong investments from enterprises and governments in AI-driven transformation
- 3.9.1.4 Growing adoption of AI to improve operational efficiency and decision-making
- 3.9.2 Industry pitfalls & challenges
- 3.9.2.1 High costs and complexity of developing domain-specific AI solutions
- 3.9.2.2 Data privacy and compliance challenges
- 3.9.1 Growth drivers
- 3.10 Growth potential analysis
- 3.11 Porter’s analysis
- 3.12 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 Hardware
- 5.3 Software
- 5.4 Services
- 5.4.1 Professional services
- 5.4.2 Managed services
Chapter 6 Market Estimates & Forecast, By Deployment Model, 2021 - 2034 ($Bn)
- 6.1 Key trends
- 6.2 On-premises
- 6.3 Cloud
- 6.4 Hybrid
Chapter 7 Market Estimates & Forecast, By Enterprise Size, 2021 - 2034 ($Bn)
- 7.1 Key trends
- 7.2 Large enterprises
- 7.3 SME
Chapter 8 Market Estimates & Forecast, By Technology, 2021 - 2034 ($Bn)
- 8.1 Key trends
- 8.2 Machine learning
- 8.3 Deep learning
- 8.4 Natural language processing
- 8.5 Computer vision
- 8.6 Robotics
- 8.7 Others
Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Bn)
- 9.1 Key trends
- 9.2 Healthcare
- 9.2.1 Clinical applications
- 9.2.2 Drug discovery & development
- 9.2.3 Medical imaging
- 9.2.4 Healthcare operations
- 9.3 BFSI
- 9.3.1 Banking
- 9.3.2 Investment & trading
- 9.3.3 Insurance
- 9.4 Manufacturing & Industrial
- 9.4.1 Production operations
- 9.4.2 Supply chain
- 9.4.3 Industrial IoT
- 9.5 Agriculture & farming
- 9.5.1 Crop management
- 9.5.2 Livestock management
- 9.5.3 Precision agriculture
- 9.6 Legal & Compliance
- 9.6.1 Legal research
- 9.6.2 Contract management
- 9.6.3 Regulatory compliance
- 9.7 Retail & e-commerce
- 9.7.1 Customer experience
- 9.7.2 Operations
- 9.7.3 Marketing & sales
- 9.8 Energy & Utilities
- 9.8.1 Power generation
- 9.8.2 Energy trading
- 9.8.3 Distribution
- 9.8.4 Renewable energy
- 9.9 Transportation & logistics
- 9.9.1 Fleet management
- 9.9.2 Supply chain
- 9.9.3 Infrastructure
- 9.10 Others
Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)
- 10.1 Key trends
- 10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
- 10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Italy
- 10.3.5 Spain
- 10.3.6 Russia
- 10.3.7 Nordics
- 10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 Australia
- 10.4.5 South Korea
- 10.4.6 Southeast Asia
- 10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Argentina
- 10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia
Chapter 11 Company Profiles
- 11.1 Atomwise
- 11.2 BenevolentAI
- 11.3 Blue River Technology
- 11.4 BlueDot
- 11.5 Bright Machines
- 11.6 Ceres Imaging
- 11.7 Databricks
- 11.8 Deep Genomics
- 11.9 Farmers Edge
- 11.10 Harvey AI
- 11.11 Insilico Medicine
- 11.12 Narrative Science
- 11.13 Nauto
- 11.14 Paige AI
- 11.15 Path AI
- 11.16 Recursion Pharmaceuticals
- 11.17 SenseTime
- 11.18 Tempus
- 11.19 Visiopharm
- 11.20 Zymergen
