PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1535629
PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1535629
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
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.
Table of Contents
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
- 3.8.1 Growth drivers
- 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
Chapter 11 Company Profiles
- 11.1 Altair
- 11.2 Alteryx
- 11.3 AWS
- 11.4 Blaize
- 11.5 DataRobots, Inc.
- 11.6 DataRobots, Inc.
- 11.7 Expert AI
- 11.8 Goolge
- 11.9. H2 O.ai
- 11.10 IBM Corporation
- 11.11 Icertis
- 11.12 Intel Corporation
- 11.13 KNIME
- 11.14 Microsoft Corporation
- 11.15 RapidMiner
- 11.16 salesforce
- 11.17 TEAM International
- 11.18 Vonge
- 11.19 Writer
- 11.20 Yepic AI
