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市场调查报告书

商品编码

1535629

AI Studio 市场规模 - 按元件（解决方案、服务）、按部署模型（本地、云端）、按组织规模（大型组织、中小企业）、按应用程式、按最终用户和预测，2024 年至 2032 年

AI Studio Market Size - By Component (Solution, Services), By Deployment Model (On-premises, Cloud), By Organization Size (Large Organization, SME), By Application, By End-user & Forecast, 2024 - 2032

出版日期: 2024年06月10日 | 出版商:

Global Market Insights Inc. | 英文 220 Pages | 商品交期: 2-3个工作天内

价格

简介目录

由于人工智慧技术的不断推出和进步以及自动化需求的不断增长，预计在 2024 年至 2032 年间，AI Studio 市场规模的复合年增长率将超过 30%。最近，开发人员正在创建新的人工智慧解决方案和工具，以增强功能和扩展应用程式。这些进步正在推动复杂的人工智慧模型和自动化功能整合到各种平台和工作流程中。

此外，人工智慧工作室还支援跨行业对高效智慧解决方案不断增长的需求，以在处理复杂任务和决策过程中提供更高的效率和灵活性。例如，2023 年 9 月，Meta 推出了 AI Studio，让开发人员建立自订聊天机器人。这项新工具旨在利用先进的人工智慧技术来支援更客製化和有效的通讯解决方案，从而增强聊天机器人的开发。

该行业根据组件、部署模型、组织规模、应用程式、最终用户和区域进行细分。

预计到 2032 年，服务组件领域的 AI 工作室市场份额将大幅增长。开发人员正在利用这些服务来创建、训练和部署客製化的人工智慧模型，以增强使用者互动并实现流程自动化。该平台还提供各种工具和资源，例如高级分析和模型自订选项，以简化开发工作流程。

就部署模式而言，本地人工智慧工作室市场预计将在 2024 年至 2032 年期间产生可观的收入。这是因为组织在自己的基础设施内安装和运行人工智慧解决方案的需求不断增长。这种方法主要用于为人工智慧应用提供更好的控制、安全性和客製化。透过部署本地人工智慧工作室，企业可以利用本地资源来确保资料隐私并将人工智慧工具与现有系统更无缝地整合。

由于新创公司和科技公司的成长以及人工智慧研究投资的增加，到 2032 年，欧洲人工智慧工作室的产业规模可能会出现显着的成长。新科技新创公司和老牌公司正在扩大业务，利用 AI 工作室开发创新解决方案并增强其产品。此外，人工智慧研究资金的增加正在支持尖端技术和能力的发展，进一步推动区域市场的成长。

产业生态系统分析
供应商格局
- 解决方案提供者
- 系统提供者
- 技术提供者
- 终端用户
利润率分析
技术与创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 企业对资料民主化的需求不断成长
  - 优化资料科学工作流程的需求不断增长
  - 轻鬆自订预先建置的 AI 解决方案
  - 机器学习 (ML) 和人工智慧 (AI) 的发展
- 产业陷阱与挑战
  - 资料安全和隐私问题
  - 实施和维护成本高
成长潜力分析
波特的分析
PESTEL分析

第 4 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 5 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
解决方案
- 设计
- 发展
- 测试
- 部署
服务
- 专业的
- 託管

第 6 章：市场估计与预测：按部署模型，2021 - 2032 年

主要趋势
本地
云

第 7 章：市场估计与预测：依组织规模，2021 - 2032 年

主要趋势
大型组织
中小企业

第 8 章：市场估计与预测：依应用分类，2021 - 2032

主要趋势
预测建模和预测
自然语言处理
电脑视觉
生成式人工智慧
推荐系统
异常检测
其他的

第 9 章：市场估计与预测：按最终用户，2021 - 2032 年

主要趋势
资讯科技与电信
BFSI
卫生保健
製造业
零售
汽车
政府
其他的

第 10 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 西班牙
- 义大利
- 俄罗斯
- 北欧人
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地区
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯
- MEA 的其余部分

第 11 章：公司简介

Altair
Alteryx
AWS
Blaize
DataRobots, Inc.
DataRobots, Inc.
Expert AI
Goolge
H2 O.ai
IBM Corporation
Icertis
Intel Corporation
KNIME
Microsoft Corporation
RapidMiner
salesforce
TEAM International
Vonge
Writer
Yepic AI

简介目录

Product Code: 9788

AI Studio Market size is expected to record over 30% CAGR between 2024 and 2032, due to increasing launches and advancements in AI technologies coupled with the rising need for automation. Of late, developers are creating new AI solutions and tools for enhancing capabilities and expanding applications. These advancements are driving the integration of sophisticated AI models and automation features into various platforms and workflows.

Moreover, AI studios are also supporting the growing need for efficient and intelligent solutions across industries for providing greater efficiency and flexibility in handling complex tasks and decision-making processes. For instance, in September 2023, Meta debuted AI Studio for letting developers build custom chatbots. This new tool is designed to enhance chatbot development by leveraging advanced AI technology for supporting more tailored and effective communication solutions.

The industry is segmented based on component, deployment model, organization size, application, end-user, and region.

AI studio market share from the services component segment is expected to witness substantial growth through 2032. This is due to the strong need for offering a range of services to support the development of custom AI solutions including chatbots. Developers are utilizing these services to create, train, and deploy tailored AI models to enhance user interactions and automate processes. The platform also provides various tools and resources, such as advanced analytics and model customization options to streamline the development workflow.

In terms of deployment model, the AI studio market from the on-premises segment is slated to generate notable revenue during 2024-2032. This is favored by the rising demand from organizations to install and operate AI solutions within their own infrastructure. This approach is largely adopted to provide greater control, security, and customization of AI applications. By deploying on-premises AI studio, businesses can leverage local resources to ensure data privacy and integrate AI tools more seamlessly with existing systems.

Europe AI studio industry size is likely to record a notable growth rate through 2032 due to the growth of startups and tech companies alongside the rise in investment in AI research. New tech startups and established companies are expanding their operations for leveraging AI studio to develop innovative solutions and enhance their offerings. Additionally, the increase in funding for AI research is supporting the development of cutting-edge technologies and capabilities, further driving the regional market growth.

Chapter 1 Methodology & Scope

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

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Solution providers
- 3.2.2 System providers
- 3.2.3 Technology providers
- 3.2.4 End-user
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 forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increasing demand for data democratization by businesses
  - 3.8.1.2 Rising need to optimize data science workflows
  - 3.8.1.3 Effortless customization of pre-built AI solutions
  - 3.8.1.4 Growth of Machine Learning (ML) and Artificial Intelligence (AI)
- 3.8.2 Industry pitfalls & challenges
  - 3.8.2.1 Data security and privacy concerns
  - 3.8.2.2 High cost of implementation and maintenance
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

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 - 2032 ($Bn)

5.1 Key trends
5.2 Solution
- 5.2.1 Design
- 5.2.2 Develop
- 5.2.3 Test
- 5.2.4 Deploy
5.3 Services
- 5.3.1 Professional
- 5.3.2 Managed

Chapter 6 Market Estimates & Forecast, By Deployment Model, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 On-premises
6.3 Cloud

Chapter 7 Market Estimates & Forecast, By Organization Size, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 Large organization
7.3 SME

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 Predictive modeling & forecast
8.3 Natural language processing
8.4 Computer vision
8.5 Generative AI
8.6 Recommendation systems
8.7 Anomaly detection
8.8 Others

Chapter 9 Market Estimates & Forecast, By End-user, 2021 - 2032 ($Bn)

9.1 Key trends
9.2 IT & telecom
9.3 BFSI
9.4 Healthcare
9.5 Manufacturing
9.6 Retail
9.7 Automotive
9.8 Government
9.9 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 ($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 Spain
- 10.3.5 Italy
- 10.3.6 Russia
- 10.3.7 Nordics
- 10.3.8 Rest of Europe
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Southeast Asia
- 10.4.7 Rest of Asia Pacific
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Argentina
- 10.5.4 Rest of Latin America
10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia
- 10.6.4 Rest of MEA