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市場調查報告書
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1527321

全球人工智慧工作室市場規模研究，按產品、按應用、按垂直和區域預測 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個工作天內

價格
簡介目錄

2023 年全球 AI Studio 市場價值約為 46.9 億美元，預計在 2024-2032 年預測期內將以超過 38.46% 的健康成長率成長。 AI Studio 是一個綜合平台，旨在簡化人工智慧 (AI) 模型和應用程式的開發、部署和管理。它為資料科學家、開發人員和業務分析師提供了一個協作環境，以使用直覺的介面和一套強大的工具來建立、訓練和最佳化機器學習模型。 AI Studio 支援 AI 生命週期的各個階段，包括資料準備、模型訓練、評估和部署。它與流行的框架和庫整合，提供可擴展性和靈活性來處理複雜的人工智慧專案。透過利用自動化機器學習 (AutoML)、版本控制和即時協作等高級功能，AI Studio 使組織能夠加速其 AI 計劃、提高生產力並推動創新。

隨著企業越來越認知到資料在做出明智決策方面的價值，資料民主化需求的激增推動了全球 AI Studio 市場的發展，從而促進了對人工智慧驅動工具的需求，使各個組織層級的資料訪問和利用民主化。人們越來越重視數據驅動的決策，這促進了 AI Studio 的採用，它簡化了 AI 模型的開發和部署，使企業能夠有效地利用資料洞察力。此外，AI Studio 市場還提供了大量機會，特別是在醫療保健行業。採用人工智慧模型來提高患者護理品質的需求不斷成長，這為人工智慧工作室創造了一個利潤豐厚的市場。透過利用人工智慧驅動的解決方案，醫療保健提供者可以提高診斷準確性、簡化患者管理並制定個人化治療計劃，從而提高患者護理的整體品質。然而，AI Studio市場面臨挑戰，特別是在隱私和安全漏洞方面。隨著組織擴大將人工智慧融入其營運中，對資料隱私和安全漏洞的擔憂已成為重大限制。確保採取強力的安全措施來保護敏感資料並保持遵守嚴格的監管框架是維持市場成長所需解決的關鍵挑戰。

全球人工智慧工作室市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲和世界其他地區。到 2023 年，預計北美將在預測期內主導全球 AI Studio 市場。該地區人工智慧技術在醫療保健、零售、IT 和電信、BFSI、汽車、廣告和媒體以及製造等各個行業的快速採用，是市場成長的重要推動力。亞馬遜、IBM、微軟、谷歌和英特爾等產業巨頭的存在，加上對人工智慧研發的大量投資，正在推動北美人工智慧工作室市場向前發展。這些公司處於技術進步的前沿，將人工智慧融入其產品組合，並引領該地區的創新步伐。此外，預計亞太地區的市場在 2024 年至 2032 年的預測期內將以最快的速度發展。

目錄

第 1 章：全球 AI Studio 市場執行摘要

  • 全球人工智慧工作室市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 透過提供
    • 按申請
    • 按垂直方向
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：全球 AI Studio 市場定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包容與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：全球 AI Studio 市場動態

  • 市場促進因素
    • 對資料民主化的需求不斷增加，以促進數據驅動的商業決策
    • 各行業越來越多採用人工智慧技術
    • 產業巨頭大力投資人工智慧研發
  • 市場挑戰
    • 隱私和安全漏洞的脆弱性
    • 資料錯誤識別或交叉污染
  • 市場機會
    • 採用人工智慧模型來提高醫療行業患者護理品質的需求不斷增加
    • 開發個人化醫療的創新人工智慧解決方案
    • 對先進診斷的需求不斷增加

第 4 章：全球 AI Studio 市集產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
    • 波特五力模型的未來方法
    • 波特的五力影響分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：全球 AI Studio 市場規模與預測：依產品分類 - 2022-2032

  • 細分儀表板
  • 全球 AI Studio 市場：2022 年和 2032 年收入趨勢分析
    • 軟體
    • 服務

第 6 章：全球 AI Studio 市場規模與預測：按應用分類 - 2022-2032

  • 細分儀表板
  • 全球 AI Studio 市場：2022 年和 2032 年應用收入趨勢分析
    • 情緒分析
    • 客戶服務自動化
    • 影像分類和標記
    • 綜合數據生成
    • 預測建模和預測
    • 自動內容生成
    • 其他

第 7 章：全球 AI Studio 市場規模與預測：按垂直產業 - 2022-2032

  • 細分儀表板
  • 全球 AI Studio 市場：2022 年和 2032 年垂直收入趨勢分析
    • BFSI
    • 零售與電子商務
    • 電信
    • 製造業
    • 醫療保健與生命科學
    • 媒體與娛樂
    • 資訊科技與資訊科技服務
    • 政府與國防
    • 汽車與運輸
    • 其他

第 8 章：全球 AI Studio 市場規模與預測：按地區 - 2022-2032

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 南非
    • 中東和非洲其他地區

第 9 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • Google LLC
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 市場策略
    • 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：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

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