세계의 AI 스튜디오 시장 - 규모, 점유율, 동향 분석 보고서 : 제공 제품별, 전개별, 사용자 인터페이스별, 용도별, 업종별, 지역별, 부문별 예측(2024-2030년)

AI Studio Market Growth & Trends:

The global AI studio market size is expected to reach USD 46.25 billion by 2030, and growing at a CAGR of 40.1% from 2024 to 2030, according to a new report by Grand View Research, Inc. Advancements in machine learning algorithms and computational power have significantly enhanced the capabilities of AI systems, enabling them to tackle increasingly complex tasks with unprecedented accuracy and efficiency. Breakthroughs in deep learning, reinforcement learning, and natural language processing have fueled innovation within the artificial intelligence (AI) studio market, empowering developers to create intelligent solutions.

Furthermore, the democratization of AI technologies has played a pivotal role in driving the growth of the AI studio market. Open-source frameworks, cloud-based platforms, and developer-friendly tools have lowered the barriers to entry, enabling individuals and organizations of all sizes to experiment with AI and develop custom solutions tailored to their specific needs. This democratization has fostered a culture of innovation and collaboration within the AI community, fueling the rapid iteration and refinement of AI models and applications.

In addition, rising technological advancements and the increasing demand for AI-driven solutions has fueled the expansion of the AI studio market. Businesses across industries are recognizing the transformative potential of AI in streamlining operations, enhancing customer experiences, and gaining competitive advantages. Emerging trends such as edge computing, federated learning, and explainable AI are reshaping the landscape, enabling AI systems to operate more efficiently, transparently, and securely. Moreover, the integration of AI with other transformative technologies such as blockchain, IoT, and robotics is opening up new frontiers of possibility and unlocking novel applications and business models across industries.

AI Studio Market Report Highlights:

• Based on offering, the software segment led the market in 2023, accounting for over 76% share of the global revenue. Software-based AI studio solutions often offer seamless integration with existing systems and workflows, minimizing disruptions and facilitating smooth implementation.
• Based on deployment, the cloud segment accounted for the largest market revenue share in 2023. Cloud solutions offer rapid deployment, allowing businesses to implement AI studio tools quickly and start deriving value from them.
• Based on user interface, the web-based segment accounted for the largest market revenue share in 2023. Unlike traditional software solutions, web-based AI studio platforms do not require installation or downloads, reducing barriers to entry and enabling quick deployment.
• Based on application, the customer service automation segment accounted for the largest market revenue share in 2023. With the increasing volume of customer inquiries and interactions, businesses are turning to automation to streamline their customer service processes and improve efficiency.
• North America dominated the global market with a revenue share of over 44% in 2023. North American businesses have been early adopters of AI technologies across various industries, recognizing the potential for AI to drive efficiency, innovation, and competitive advantage.

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Market Definitions
• 1.3. Research Methodology
  • 1.3.1. Information Procurement
  • 1.3.2. Information or Data Analysis
  • 1.3.3. Market Formulation & Data Visualization
  • 1.3.4. Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
• 2.3. Competitive Insights

Chapter 3. AI Studio Market Variables, Trends, & Scope

• 3.1. Market Introduction/Lineage Outlook
• 3.2. Market Size and Growth Prospects (USD Million)
• 3.3. Industry Value Chain Analysis
• 3.4. Market Dynamics
  • 3.4.1. Market Drivers Analysis
    • 3.4.1.1. Increasing demand for AI-driven solutions
    • 3.4.1.2. Increasing investment in AI technologies
  • 3.4.2. Market Restraints Analysis
    • 3.4.2.1. Data privacy and security concerns
  • 3.4.3. Industry Opportunities
  • 3.4.4. Industry Challenges
• 3.5. AI Studio Market Analysis Tools
  • 3.5.1. Porter's Analysis
    • 3.5.1.1. Bargaining power of the suppliers
    • 3.5.1.2. Bargaining power of the buyers
    • 3.5.1.3. Threats of substitution
    • 3.5.1.4. Threats from new entrants
    • 3.5.1.5. Competitive rivalry
  • 3.5.2. PESTEL Analysis
    • 3.5.2.1. Political landscape
    • 3.5.2.2. Economic and Social landscape
    • 3.5.2.3. Technological landscape
    • 3.5.2.4. Environmental landscape
    • 3.5.2.5. Legal landscape

Chapter 4. AI Studio Market: Offering Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. AI Studio Market: Offering Movement Analysis, USD Million, 2023 & 2030
• 4.3. Software
  • 4.3.1. Software Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.3.2. Application Development Platforms
    • 4.3.2.1. MLOPS
    • 4.3.2.2. DataOPs
    • 4.3.2.3. DevOps
    • 4.3.2.4. Chatbot Development
    • 4.3.2.5. LLM Development
  • 4.3.3. Al Model Management
    • 4.3.3.1. Training & Deployment Tools
    • 4.3.3.2. Interpretability & Explainability tools
    • 4.3.3.3. Monitoring Software
    • 4.3.3.4. Optimization & Hyperparameter Tuning tools
    • 4.3.3.5. Performance Evaluation & Benchmarking Tools
    • 4.3.3.6. Governance Compliance Software
  • 4.3.4. Data Annotation and Labeling
    • 4.3.4.1. AutoML
    • 4.3.4.2. Al Experimentation and Collaboration Platforms
    • 4.3.4.3. Reporting and Analytics Tools
• 4.4. Services
  • 4.4.1. Services Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.4.2. Professional Services
  • 4.4.3. Consulting & Advisory
  • 4.4.4. Integration & Deployment
  • 4.4.5. Support & Maintenance
  • 4.4.6. Training & Education
  • 4.4.7. Managed Services

Chapter 5. AI Studio Market: Deployment Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. AI Studio Market: Deployment Movement Analysis, USD Million, 2023 & 2030
• 5.3. Cloud
  • 5.3.1. Cloud Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 5.4. On-Premises
  • 5.4.1. On-Premises Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 6. AI Studio Market: User Interface Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. AI Studio Market: User Interface Movement Analysis, USD Million, 2023 & 2030
• 6.3. Web-based
  • 6.3.1. Web-based Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 6.4. Mobile Based
  • 6.4.1. Mobile Based Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 7. AI Studio Market: Application Estimates & Trend Analysis

• 7.1. Segment Dashboard
• 7.2. AI Studio Market: Application Movement Analysis, USD Million, 2023 & 2030
• 7.3. Sentiment Analysis
  • 7.3.1. Sentiment Analysis Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 7.4. Customer Service Automation
  • 7.4.1. Customer Service Automation Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 7.5. Image Classification and Labelling
  • 7.5.1. Image Classification and Labelling Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 7.6. Synthetic Data Generation
  • 7.6.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 7.7. Predictive Modelling and Forecasting
  • 7.7.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 7.8. Automatic Content Generation
  • 7.8.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 7.9. Others
  • 7.9.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 8. AI Studio Market: Vertical Estimates & Trend Analysis

• 8.1. Segment Dashboard
• 8.2. AI Studio Market: Vertical Movement Analysis, USD Million, 2023 & 2030
• 8.3. BFSI
  • 8.3.1. BFSI Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 8.4. Retail & eCommerce
  • 8.4.1. Retail & eCommerce Automation Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 8.5. Telecom
  • 8.5.1. Telecom Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 8.6. Manufacturing
  • 8.6.1. Manufacturing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 8.7. Healthcare & Life Sciences
  • 8.7.1. Healthcare & Life Sciences Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 8.8. Media & Entertainment
  • 8.8.1. Media & Entertainment Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 8.9. IT and ITeS
  • 8.9.1. IT and ITeS Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 8.10. Government & Defense
  • 8.10.1. Government & Defense Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 8.11. Automotive & Transportation
  • 8.11.1. Automotive & Transportation Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
• 8.12. Others
  • 8.12.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 9. AI Studio Market: Regional Estimates & Trend Analysis

• 9.1. AI Studio Market Share, By Region, 2023 & 2030, USD Million
• 9.2. North America
  • 9.2.1. North America AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.2.2. U.S.
    • 9.2.2.1. U.S. AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.2.3. Canada
    • 9.2.3.1. Canada AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.2.4. Mexico
    • 9.2.4.1. Mexico AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
• 9.3. Europe
  • 9.3.1. Europe AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.3.2. U.K.
    • 9.3.2.1. U.K. AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.3.3. Germany
    • 9.3.3.1. Germany AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.3.4. France
    • 9.3.4.1. France AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
• 9.4. Asia Pacific
  • 9.4.1. Asia Pacific AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.4.2. China
    • 9.4.2.1. China AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.4.3. Japan
    • 9.4.3.1. Japan AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.4.4. India
    • 9.4.4.1. India AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.4.5. Australia
    • 9.4.5.1. Australia AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.4.6. South Korea
    • 9.4.6.1. South Korea AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
• 9.5. Latin America
  • 9.5.1. Latin America AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.5.2. Brazil
    • 9.5.2.1. Brazil AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
• 9.6. Middle East and Africa
  • 9.6.1. Middle East and Africa AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.6.2. UAE
    • 9.6.2.1. UAE AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.6.3. South Africa
    • 9.6.3.2. South Africa AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 9.6.4. KSA
    • 9.6.4.3. KSA AI Studio Market Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 10. Competitive Landscape

• 10.1. Recent Developments & Impact Analysis by Key Market Participants
• 10.2. Company Categorization
• 10.3. Company Market Positioning
• 10.4. Company Market Share Analysis
• 10.5. Company Heat Map Analysis
• 10.6. Strategy Mapping
  • 10.6.1. Expansion
  • 10.6.2. Mergers & Acquisition
  • 10.6.3. Partnerships & Collaborations
  • 10.6.4. New Product Launches
  • 10.6.5. Research And Development
• 10.7. Company Profiles
  • 10.7.1. Microsoft
    • 10.7.1.1. Participant's Overview
    • 10.7.1.2. Financial Performance
    • 10.7.1.3. Product Benchmarking
    • 10.7.1.4. Recent Developments
  • 10.7.2. International Business Machines Corporation
    • 10.7.2.1. Participant's Overview
    • 10.7.2.2. Financial Performance
    • 10.7.2.3. Product Benchmarking
    • 10.7.2.4. Recent Developments
  • 10.7.3. Google LLC
    • 10.7.3.1. Participant's Overview
    • 10.7.3.2. Financial Performance
    • 10.7.3.3. Product Benchmarking
    • 10.7.3.4. Recent Developments
  • 10.7.4. Amazon Web Services, Inc.
    • 10.7.4.1. Participant's Overview
    • 10.7.4.2. Financial Performance
    • 10.7.4.3. Product Benchmarking
    • 10.7.4.4. Recent Developments
  • 10.7.5. VONAGE
    • 10.7.5.1. Participant's Overview
    • 10.7.5.2. Financial Performance
    • 10.7.5.3. Product Benchmarking
    • 10.7.5.4. Recent Developments
  • 10.7.6. Sprinklr Inc.
    • 10.7.6.1. Participant's Overview
    • 10.7.6.2. Financial Performance
    • 10.7.6.3. Product Benchmarking
    • 10.7.6.4. Recent Developments
  • 10.7.7. Blaize
    • 10.7.7.1. Participant's Overview
    • 10.7.7.2. Financial Performance
    • 10.7.7.3. Product Benchmarking
    • 10.7.7.4. Recent Developments
  • 10.7.8. DataRobot, Inc.
    • 10.7.8.1. Participant's Overview
    • 10.7.8.2. Financial Performance
    • 10.7.8.3. Product Benchmarking
    • 10.7.8.4. Recent Developments
  • 10.7.9. Altair Engineering Inc.
    • 10.7.9.1. Participant's Overview
    • 10.7.9.2. Financial Performance
    • 10.7.9.3. Product Benchmarking
    • 10.7.9.4. Recent Developments
  • 10.7.10. C3.ai, Inc.
    • 10.7.10.1. Participant's Overview
    • 10.7.10.2. Financial Performance
    • 10.7.10.3. Product Benchmarking
    • 10.7.10.4. Recent Developments