封面
市场调查报告书
商品编码
1527321

全球人工智慧工作室市场规模研究,按产品、按应用、按垂直和区域预测 2022-2032

Global AI Studio Market Size Study, by Offering, by Application, by Vertical and Regional Forecasts 2022-2032

出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2023 年全球 AI Studio 市场价值约为 46.9 亿美元,预计在 2024-2032 年预测期内将以超过 38.46% 的健康成长率成长。 AI Studio 是一个综合平台,旨在简化人工智慧 (AI) 模型和应用程式的开发、部署和管理。它为资料科学家、开发人员和业务分析师提供了一个协作环境,以使用直觉的介面和一套强大的工具来建立、训练和优化机器学习模型。 AI Studio 支援 AI 生命週期的各个阶段,包括资料准备、模型训练、评估和部署。它与流行的框架和库集成,提供可扩展性和灵活性来处理复杂的人工智慧专案。透过利用自动化机器学习 (AutoML)、版本控制和即时协作等高级功能,AI Studio 使组织能够加速其 AI 计划、提高生产力并推动创新。

随着企业越来越认识到资料在做出明智决策方面的价值,资料民主化需求的激增推动了全球 AI Studio 市场的发展,从而促进了对人工智慧驱动工具的需求,使各个组织层级的资料访问和利用民主化。人们越来越重视数据驱动的决策,这促进了 AI Studio 的采用,它简化了 AI 模型的开发和部署,使企业能够有效地利用资料洞察力。此外,AI Studio 市场还提供了大量机会,特别是在医疗保健行业。采用人工智慧模型来提高患者护理品质的需求不断增长,这为人工智慧工作室创造了一个利润丰厚的市场。透过利用人工智慧驱动的解决方案,医疗保健提供者可以提高诊断准确性、简化患者管理并制定个人化治疗计划,从而提高患者护理的整体品质。然而,AI Studio市场面临挑战,特别是在隐私和安全漏洞方面。随着组织越来越多地将人工智慧融入其营运中,对资料隐私和安全漏洞的担忧已成为重大限制。确保采取强有力的安全措施来保护敏感资料并保持遵守严格的监管框架是维持市场成长所需解决的关键挑战。

全球人工智慧工作室市场研究考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲和世界其他地区。到 2023 年,预计北美将在预测期内主导全球 AI Studio 市场。该地区人工智慧技术在医疗保健、零售、IT 和电信、BFSI、汽车、广告和媒体以及製造等各个行业的快速采用,是市场成长的重要推动力。亚马逊、IBM、微软、谷歌和英特尔等产业巨头的存在,加上对人工智慧研发的大量投资,正在推动北美人工智慧工作室市场向前发展。这些公司处于技术进步的前沿,将人工智慧融入其产品组合,并引领该地区的创新步伐。此外,预计亚太地区的市场在 2024 年至 2032 年的预测期内将以最快的速度发展。

目录

第 1 章:全球 AI Studio 市场执行摘要

  • 全球人工智慧工作室市场规模及预测(2022-2032)
  • 区域概要
  • 分部摘要
    • 透过提供
    • 按申请
    • 按垂直方向
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章:全球 AI Studio 市场定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包容与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性(消费者的角度)
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章:全球 AI Studio 市场动态

  • 市场驱动因素
    • 对资料民主化的需求不断增加,以促进数据驱动的商业决策
    • 各行业越来越多采用人工智慧技术
    • 产业巨头大力投资人工智慧研发
  • 市场挑战
    • 隐私和安全漏洞的脆弱性
    • 资料错误识别或交叉污染
  • 市场机会
    • 采用人工智慧模型来提高医疗行业患者护理品质的需求不断增加
    • 开发个人化医疗的创新人工智慧解决方案
    • 对先进诊断的需求不断增加

第 4 章:全球 AI Studio 市集产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
    • 波特五力模型的未来方法
    • 波特的五力影响分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章:全球 AI Studio 市场规模与预测:依产品分类 - 2022-2032

  • 细分仪表板
  • 全球 AI Studio 市场:2022 年和 2032 年收入趋势分析
    • 软体
    • 服务

第 6 章:全球 AI Studio 市场规模与预测:按应用分类 - 2022-2032

  • 细分仪表板
  • 全球 AI Studio 市场:2022 年和 2032 年应用收入趋势分析
    • 情绪分析
    • 客户服务自动化
    • 影像分类和标记
    • 综合数据生成
    • 预测建模和预测
    • 自动内容生成
    • 其他的

第 7 章:全球 AI Studio 市场规模与预测:按垂直产业 - 2022-2032

  • 细分仪表板
  • 全球 AI Studio 市场:2022 年和 2032 年垂直收入趋势分析
    • BFSI
    • 零售与电子商务
    • 电信
    • 製造业
    • 医疗保健与生命科学
    • 媒体与娱乐
    • 资讯科技与资讯科技服务
    • 政府与国防
    • 汽车与运输
    • 其他的

第 8 章:全球 AI Studio 市场规模与预测:按地区 - 2022-2032

  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 南非
    • 中东和非洲其他地区

第 9 章:竞争情报

  • 重点企业SWOT分析
  • 顶级市场策略
  • 公司简介
    • Google LLC
      • 关键讯息
      • 概述
      • 财务(视数据可用性而定)
      • 产品概要
      • 市场策略
    • Intel Corporation
    • SAS Institute Inc.
    • SAP SE
    • Oracle Corporation
    • Salesforce
    • DataRobot, Inc.
    • H2O.ai
    • Alteryx, Inc.
    • TIBCO Software Inc.
    • RapidMiner, Inc.
    • KNIME AG
    • Amazon
    • IBM
    • Microsoft Corporation

第 10 章:研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

Global AI Studio Market is valued at approximately USD 4.69 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 38.46% over the forecast period 2024-2032. AI Studio is a comprehensive platform designed to streamline the development, deployment, and management of artificial intelligence (AI) models and applications. It offers a collaborative environment for data scientists, developers, and business analysts to build, train, and optimize machine learning models using an intuitive interface and a suite of powerful tools. AI Studio supports various stages of the AI lifecycle, including data preparation, model training, evaluation, and deployment. It integrates with popular frameworks and libraries, providing scalability and flexibility to handle complex AI projects. By leveraging advanced features such as automated machine learning (AutoML), version control, and real-time collaboration, AI Studio empowers organizations to accelerate their AI initiatives, enhance productivity, and drive innovation.

The Global AI Studio Market is driven by surge in demand for data democratization as businesses are increasingly recognizing the value of data in making informed decisions, prompting the need for AI-driven tools that democratize data access and utilization across various organizational levels. This growing emphasis on data-driven decision-making is fostering the adoption of AI Studios, which streamline the development and deployment of AI models, enabling businesses to leverage data insights effectively. Moreover, the AI Studio market presents substantial opportunities, particularly in the healthcare industry. The rising need to adopt AI models to enhance patient care quality is creating a lucrative market for AI Studios. By leveraging AI-driven solutions, healthcare providers can improve diagnostic accuracy, streamline patient management, and develop personalized treatment plans, thereby elevating the overall quality of patient care. However, the AI Studio market faces challenges, particularly in terms of privacy and security vulnerabilities. As organizations increasingly integrate AI into their operations, concerns about data privacy and security breaches have emerged as significant restraints. Ensuring robust security measures to protect sensitive data and maintaining compliance with stringent regulatory frameworks are crucial challenges that need to be addressed to sustain market growth.

The key regions considered for the Global AI Studio Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North America is anticipated to dominate the global AI Studio market during the forecast period. The region's rapid adoption of AI technologies across various industries, including healthcare, retail, IT & telecom, BFSI, automotive, advertising & media, and manufacturing, is a significant driver for market growth. The presence of industry giants such as Amazon, IBM, Microsoft, Google, and Intel, coupled with substantial investments in AI research and development, is propelling the North American AI Studio market forward. These companies are at the forefront of technological advancement, integrating AI into their product portfolios and setting the pace for innovation in the region. Furthermore, the market in Asia Pacific is anticipated to develop at the fastest rate over the forecast period 2024-2032.

Major market players included in this report are:

  • Google LLC
  • Intel Corporation
  • SAS Institute Inc.
  • SAP SE
  • Oracle Corporation
  • Salesforce
  • DataRobot, Inc.
  • H2O.ai
  • Alteryx, Inc.
  • TIBCO Software Inc.
  • RapidMiner, Inc.
  • KNIME AG
  • Amazon
  • IBM
  • Microsoft Corporation

The detailed segments and sub-segment of the market are explained below:

By Offering:

  • Software
  • Services

By Application:

  • Sentiment Analysis
  • Customer Service Automation
  • Image Classification and Labelling
  • Synthetic Data Generation
  • Predictive Modelling and Forecasting
  • Automatic Content Generation
  • Others

By Vertical:

  • BFSI
  • Retail & eCommerce
  • Telecom
  • Manufacturing
  • Healthcare & Life Sciences
  • Media & Entertainment
  • IT and ITeS
  • Government & Defense
  • Automotive & Transportation
  • Others
  • Common content for 'Report Description'

By Region: North America

  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • RoLA
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global AI Studio Market Executive Summary

  • 1.1. Global AI Studio Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Offering
    • 1.3.2. By Application
    • 1.3.3. By Vertical
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global AI Studio Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global AI Studio Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increasing demand for data democratization to facilitate data-driven business decisions
    • 3.1.2. Rising adoption of AI technologies across various industries
    • 3.1.3. Significant investments by industry giants in AI research and development
  • 3.2. Market Challenges
    • 3.2.1. Vulnerability to privacy and security breaches
    • 3.2.2. Misidentification or cross-contamination of data
  • 3.3. Market Opportunities
    • 3.3.1. Rising need to adopt AI models to elevate the quality of patient care in the medical industry
    • 3.3.2. Development of innovative AI solutions for personalized medicine
    • 3.3.3. Increasing demand for advanced diagnostics

Chapter 4. Global AI Studio Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global AI Studio Market Size & Forecasts by Offering 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global AI Studio Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Software
    • 5.2.2. Services

Chapter 6. Global AI Studio Market Size & Forecasts by Application 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global AI Studio Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Sentiment Analysis
    • 6.2.2. Customer Service Automation
    • 6.2.3. Image Classification and Labelling
    • 6.2.4. Synthetic Data Generation
    • 6.2.5. Predictive Modelling and Forecasting
    • 6.2.6. Automatic Content Generation
    • 6.2.7. Others

Chapter 7. Global AI Studio Market Size & Forecasts by Vertical 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global AI Studio Market: Vertical Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. BFSI
    • 7.2.2. Retail & eCommerce
    • 7.2.3. Telecom
    • 7.2.4. Manufacturing
    • 7.2.5. Healthcare & Life Sciences
    • 7.2.6. Media & Entertainment
    • 7.2.7. IT and ITeS
    • 7.2.8. Government & Defense
    • 7.2.9. Automotive & Transportation
    • 7.2.10. Others

Chapter 8. Global AI Studio Market Size & Forecasts by Region 2022-2032

  • 8.1. North America AI Studio Market
    • 8.1.1. U.S. AI Studio Market
      • 8.1.1.1. Offering breakdown size & forecasts, 2022-2032
      • 8.1.1.2. Application breakdown size & forecasts, 2022-2032
      • 8.1.1.3. Vertical breakdown size & forecasts, 2022-2032
    • 8.1.2. Canada AI Studio Market
  • 8.2. Europe AI Studio Market
    • 8.2.1. U.K. AI Studio Market
    • 8.2.2. Germany AI Studio Market
    • 8.2.3. France AI Studio Market
    • 8.2.4. Spain AI Studio Market
    • 8.2.5. Italy AI Studio Market
    • 8.2.6. Rest of Europe AI Studio Market
  • 8.3. Asia-Pacific AI Studio Market
    • 8.3.1. China AI Studio Market
    • 8.3.2. India AI Studio Market
    • 8.3.3. Japan AI Studio Market
    • 8.3.4. Australia AI Studio Market
    • 8.3.5. South Korea AI Studio Market
    • 8.3.6. Rest of Asia Pacific AI Studio Market
  • 8.4. Latin America AI Studio Market
    • 8.4.1. Brazil AI Studio Market
    • 8.4.2. Mexico AI Studio Market
    • 8.4.3. Rest of Latin America AI Studio Market
  • 8.5. Middle East & Africa AI Studio Market
    • 8.5.1. Saudi Arabia AI Studio Market
    • 8.5.2. South Africa AI Studio Market
    • 8.5.3. Rest of Middle East & Africa AI Studio Market

Chapter 9. Competitive Intelligence

  • 9.1. Key Company SWOT Analysis
  • 9.2. Top Market Strategies
  • 9.3. Company Profiles
    • 9.3.1. Google LLC
      • 9.3.1.1. Key Information
      • 9.3.1.2. Overview
      • 9.3.1.3. Financial (Subject to Data Availability)
      • 9.3.1.4. Product Summary
      • 9.3.1.5. Market Strategies
    • 9.3.2. Intel Corporation
    • 9.3.3. SAS Institute Inc.
    • 9.3.4. SAP SE
    • 9.3.5. Oracle Corporation
    • 9.3.6. Salesforce
    • 9.3.7. DataRobot, Inc.
    • 9.3.8. H2O.ai
    • 9.3.9. Alteryx, Inc.
    • 9.3.10. TIBCO Software Inc.
    • 9.3.11. RapidMiner, Inc.
    • 9.3.12. KNIME AG
    • 9.3.13. Amazon
    • 9.3.14. IBM
    • 9.3.15. Microsoft Corporation

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
  • 10.2. Research Attributes