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市场调查报告书
商品编码
1664865
垂直 AI 市场机会、成长动力、产业趋势分析及 2025 - 2034 年预测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场价值为 102 亿美元，预计在 2025 年至 2034 年期间将以惊人的 21.6% 的复合年增长率扩张。这些客製化工具使企业能够提高营运效率、解决专门问题并优化工作流程——而这些是通用人工智慧通常所缺乏的领域。对满足特定行业需求的解决方案的需求激增，推动了垂直人工智慧的广泛应用。
市场分为本地、云端和混合部署模式，其中基于云端的解决方案占据主导地位。 2024 年，云端运算占据了 60% 的市场份额，预计到 2034 年将创造惊人的 400 亿美元的收入。这种适应性对于需要高级 AI 功能的数据密集型行业尤其有利。此外，按使用量付费定价模式的可承受性加速了各种规模的组织，尤其是中小型企业 (SME) 对云端运算的采用。
| 市场范围 | |
|---|---|
| 起始年份 | 2024 |
| 预测年份 | 2025-2034 |
| 起始值 | 102亿美元 |
| 预测值 | 696亿美元 |
| 复合年增长率 | 21.6％ |
垂直人工智慧解决方案建立在尖端技术之上，包括机器学习、深度学习、自然语言处理、电脑视觉和机器人技术。其中，机器学习成为领跑者，在2024年占据了36%的市场份额。随着机器学习模型的不断进步，其改进决策过程的能力确保了其在各个行业中的应用越来越广泛。
2024年北美占据垂直AI市场40%的营收份额，巩固其全球领先地位。该地区先进的技术基础设施和对数位转型的不懈关注催化了众多产业人工智慧解决方案的整合。对人工智慧创新的大量投资、政府的支持性政策和强劲的创投资金刺激了以人工智慧为重点的新创企业的成长。这些因素正在推动客製化垂直人工智慧应用程式的发展，进一步推动北美市场的成长。
报告内容
第 1 章：方法论与范围
- 研究设计
- 研究方法
- 资料收集方法
- 基础估算与计算
- 基准年计算
- 市场估计的主要趋势
- 预测模型
- 初步研究和验证
- 主要来源
- 资料探勘来源
- 市场范围和定义
第 2 章：执行摘要
第 3 章：产业洞察
- 产业生态系统分析
- 硬体提供者
- 软体供应商
- 服务提供者
- 技术提供者
- 云端服务供应商
- 最终用户
- 供应商概况
- 利润率分析
- 技术与创新格局
- 专利分析
- 重要新闻及倡议
- 监管格局
- 终端用户对垂直人工智慧的认知与信任
- 衝击力
- 成长动力
- 针对行业特定应用的人工智慧解决方案的需求不断增加
- 人工智慧技术的进步
- 企业和政府大力投资人工智慧驱动转型
- 越来越多地采用人工智慧来提高营运效率和决策能力
- 产业陷阱与挑战
- 开发特定领域人工智慧解决方案的成本高且复杂
- 资料隐私和合规性挑战
- 成长动力
- 成长潜力分析
- 波特的分析
- PESTEL 分析
第四章：竞争格局
- 介绍
- 公司市占率分析
- 竞争定位矩阵
- 战略展望矩阵
第五章：市场估计与预测：按组件，2021 - 2034 年
- 主要趋势
- 硬体
- 软体
- 服务
- 专业服务
- 託管服务
第六章：市场估计与预测：依部署模型，2021 - 2034 年
- 主要趋势
- 本地
- 云
- 杂交种
第七章：市场估计与预测：依企业规模，2021 - 2034 年
- 主要趋势
- 大型企业
- 中小企业
第 8 章：市场估计与预测：按技术，2021 - 2034 年
- 主要趋势
- 机器学习
- 深度学习
- 自然语言处理
- 电脑视觉
- 机器人
- 其他的
第 9 章：市场估计与预测：按最终用途，2021 - 2034 年
- 主要趋势
- 卫生保健
- 临床应用
- 药物发现与开发
- 医学影像
- 医疗保健业务
- 金融保险业协会
- 银行业
- 投资与交易
- 保险
- 製造与工业
- 生产营运
- 供应链
- 工业物联网
- 农业与耕作
- 作物管理
- 牲畜管理
- 精准农业
- 法律与合规
- 法律研究
- 合约管理
- 监理合规性
- 零售与电子商务
- 客户体验
- 营运
- 行销与销售
- 能源与公用事业
- 发电
- 能源交易
- 分配
- 再生能源
- 运输与物流
- 车队管理
- 供应链
- 基础设施
- 其他的
第 10 章：市场估计与预测：按地区，2021 - 2034 年
- 主要趋势
- 北美洲
- 我们
- 加拿大
- 欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 俄罗斯
- 北欧
- 亚太地区
- 中国
- 印度
- 日本
- 澳洲
- 韩国
- 东南亚
- 拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 中东及非洲
- 阿联酋
- 南非
- 沙乌地阿拉伯
第 11 章：公司简介
- 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
