AI 스튜디오 시장 평가 : 제공별, 용도별, 산업별, 지역별 기회 및 예측(2017-2031년)

Global AI studio market is projected to witness a CAGR of 37.00% during the forecast period 2024-2031, growing from USD 5.66 billion in 2023 to USD 70.21 billion in 2031.

The AI studio market is experiencing significant growth owing to the continuous advancements being made in various technologies like artificial intelligence and machine learning. The market has seen robust growth in demand due to the advent of remote work culture and hybrid environments, which has further driven the need for cloud-based AI development tools to support collaboration and automation.

Moreover, the growing adoption of cloud-based solutions worldwide is anticipated to increase the demand for cloud-based AI development tools. Cloud-based AI studios provide easy and scalable access to advanced AI tools without the requirement for extensive infrastructure investments. This flexibility allows businesses of all sizes to adopt and scale AI technologies according to their needs, fostering greater collaboration among team members regardless of their geographical locations. Furthermore, AI studios are expected to play a crucial role in democratizing data and enabling data-driven decision-making in the forecast period as businesses continue to seek ways to make data insights accessible to a wider range of users. Data democratization allows non-technical users to create and deploy machine learning models without requiring knowledge of complex workflows by simplifying the data science workflow through user-friendly interfaces and no-code/low-code platforms. This creates operational efficiency and fuels innovation and growth as organizations can use insights from data to create newer products, services, or processes.

Increasing Demand for AI Solutions Drives the AI Studio Market

A primary reason behind the growing AI studio market is the advancing applications of artificial intelligence solutions by various businesses. More organizations in numerous industries are trying to achieve competitive advantages by efficiently executing their tasks and getting meaningful information from their data. Also, an influx of interest and investment in AI technologies resulted in a heightened demand for sophisticated development environments to design, train, and implement artificial intelligence models. For instance, as per the reports in April 2024, the chief of Google's AI business informed the company's plans to allocate over USD 100 billion towards advancing artificial intelligence technologies over the coming years.

When AI is adopted in businesses and institutions for analytics, NLP, or automation purposes, firms need platforms to support these applications and allow for fast development. As a result, AI studios are becoming integral tools to function as coordination platforms and support structures for large, complex AI projects, which must address the emergent trend of AI scalability and efficacy. Besides, this increased demand leads to the advancement of AI studios and constant changes and enhancements of their services.

Growth in Data Availability Propels the Market Demand

One of the essential drivers influencing the establishment of AI studios is the exponentially rising volumes of data generated and the significant need for real-time data analytics. As organizations receive information from different sources, including IoT devices, social media, and transaction records, they need practical tools to analyze the data, leading to the demand for an environment that can provide comprehensive solutions that address data preprocessing or cleaning and data integration and storage.

For instance, in 2023, as per Edge Delta, Inc., global data creation reached approximately 120 zettabytes (ZB). This equates to roughly 337,080 petabytes (PB) of data generated each day. With about 5.35 billion internet users worldwide, on average, each user contributes around 15.87 terabytes (TB) of data daily.

Moreover, AI studio offers superior statistical and data mining abilities as well as superior machine learning capabilities to discover intelligence in the data. This capability is critical in decision-making and operational improvement and provides a competitive advantage. Therefore, the need to analyze and interpret big data generates interest in artificial intelligence studios as they have the structural and processing requirements to transform data into value and solutions.

Software Segment is Anticipated to Hold Significant Share of the Market

In the present scenario, software plays a vital role in developing, deploying, and managing artificial intelligence solutions, making the software segment a significant part of the AI studio market. AI studios totally depend on advanced software tools and platforms to facilitate various aspects of AI workflows, including data processing, model training, and performance monitoring. These software solutions provide the necessary infrastructure for building sophisticated AI models, integrating with diverse data sources, and implementing complex algorithms.

With organizations' growing adoption of AI technologies to drive innovation and gain competitive advantage, the demand for robust and versatile software platforms is rising. This trend is anticipated to position the software segment as a key driver of market expansion.

For instance, in January 2024, research commissioned by a prominent tech firm, IBM Corporation, highlighted that about 42% of large enterprises have actively deployed AI, while an additional 40% are exploring or experimenting with the technology. Among those already engaged with AI, 59% have accelerated their efforts or investments.

IT and Telecom Sector to Accelerate Market Growth

The extensive need for advanced data analytics, network optimization, and operational efficiency in the IT and telecom sector drives the global AI studio market. For instance, AT&T, Inc., a prominent multinational telecommunications firm, processes more than 10 petabytes of data daily within its data platform ecosystem and oversees over 100 million petabytes of data across its network. These industries generate vast amounts of data, therefore heavily relying on AI studios to process and analyze the information collected to optimize network performance, enhance customer experience, and drive decision-making.

Additionally, both sectors are incorporating AI studios to bring innovative services, such as advanced security solutions and smart IoT applications, while requiring scalable and flexible AI solutions to accommodate growing data and evolving business needs. As these sectors strive to maintain a competitive edge, the development and deployment of AI technologies in their operations underscore the pivotal role of AI studios in their continued success and growth.

Rising Adoption of AI Technology in Asia-Pacific to Fuel Market Growth

The rising adoption of AI technology in Asia-Pacific significantly fuels the market by driving demand for advanced AI solutions and platforms. Many countries are increasingly embracing artificial intelligence to enhance efficiency, innovation, and competitiveness. Also, there has been a notable surge in the implementation of AI technology across various sectors, including finance, healthcare, manufacturing, and retail, within the region. As per the report by NASSCOM, the AI market in India is expanding rapidly, with a projected compound annual growth rate (CAGR) of 25-35% and an anticipated value of approximately USD 17 billion by 2027.

Moreover, a growing number of investments in the advancement and development of AI technology across many regional countries are further adding value to the AI studio market. For instance, in April 2024, Microsoft Corporation announced it plans to invest USD 2.9 billion over the next two years to expand its cloud computing and AI infrastructure in Japan.

Future Market Scenario (2024-2031F)

The growing integration of AI technologies across various sectors, such as healthcare, finance, and retail, is expected to drive the demand for AI studios.

Continuous advancements in machine learning algorithms, data processing capabilities, and computational power will drive innovation in AI studios. The need for specialized platforms to support these developments will increase as AI technologies become more advanced.

Significant investments by governments and corporations in AI research and infrastructure will boost the AI studio market.

There is a growing trend towards edge AI, where data processing and AI model inference are performed closer to the data source rather than in centralized cloud environments. This trend is leading to the development of AI studios that support edge computing, enabling real-time data processing and reducing latency.

As AI studios handle large volumes of sensitive data, ensuring data privacy and security remains a significant challenge. Regulatory requirements and concerns about data breaches can impact the deployment and adoption of AI technologies.

Key Players Landscape and Outlook

The AI studio market is going through its transformation as the major players are actively participating in collaborations, mergers, and acquisitions to strengthen their position in the industry. Companies are using these alliances to adopt other companies with complementary technologies and new business opportunities, and technological and market power is strengthened through mergers and acquisitions. For instance, in February 2024, Telefonica Global Solutions, S.L.U. announced its partnership with Microsoft Corporation, informing about the integration of Azure AI studio into its Telefonica Kernel 2.0. The partnership aimed to improve the capabilities of Kernel by integrating generative AI into critical workflows, thereby expanding the range of functionalities and efficiencies within the platform.

Moreover, many players within the market are making new launches, thereby adding value to the market. For instance, in June 2024, software engineering services provider Ascendion, Inc. and Ascendion Engineering Solutions LLC inaugurated its GenAI Studio in Chennai, adding to its global network of five innovation hubs. This advanced facility is designed to enhance client impact by tapping into high-quality local generative AI talent. The Chennai studio will address the increasing demand for generative AI and further strengthen Ascendion's leadership in this technology sector, according to a statement from the company headquartered in New Jersey.

Also, in June 2024, Generative AI startup Writer Inc. announced the launch of its new AI Studio platform, a comprehensive suite of development tools designed to enable both technical and non-technical business users to create AI applications and workflows efficiently. The platform integrates various tools that facilitate the rapid development of these workflows and apps tailored to users' skill levels. All these instances highlight the expanding landscape of the AI studio market.

Moreover, government initiatives are playing a crucial role in driving the AI studio market by creating an environment conducive to the growth and development of artificial intelligence technologies. For instance, on March 1, 2024, the Indian government issued an advisory mandating that platforms must obtain explicit permission from the Ministry of Electronics and Information Technology before deploying any "unreliable Artificial Intelligence (AI) models, Large Language Models (LLMs), Generative AI, software, or algorithms" for users on the Indian Internet. Additionally, intermediaries and platforms are required to ensure their systems do not promote bias, discrimination, or undermine the integrity of the electoral process. They must also label all AI-generated media and text with unique identifiers or metadata to ensure easy identification.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Product and Market Intelligence
• 4.2. Mode of Brand Awareness
• 4.3. Factors Considered in Purchase Decisions
  • 4.3.1. Features and Other Value-Added Service
  • 4.3.2. IT Infrastructure Compatibility
  • 4.3.3. Efficiency of Solutions
  • 4.3.4. After-Sales Support
• 4.4. Consideration of Privacy and Regulations

5. Global AI Studio Market Outlook, 2017-2031F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Offering
    • 5.2.1.1. Software
      • 5.2.1.1.1. Type
      • 5.2.1.1.2. User Interface
        • 5.2.1.1.2.1. Web-based
        • 5.2.1.1.2.2. Mobile-based
      • 5.2.1.1.3. Deployment Mode
    • 5.2.1.2. Services
  • 5.2.2. By Applications
    • 5.2.2.1. Sentiment Analysis
    • 5.2.2.2. Customer Service Automation
    • 5.2.2.3. Image Classification and Labelling
    • 5.2.2.4. Automatic Content Generation
    • 5.2.2.5. Others
  • 5.2.3. By Vertical
    • 5.2.3.1. Banking, Financial Services, and Insurance
    • 5.2.3.2. IT and Telecom
    • 5.2.3.3. Manufacturing
    • 5.2.3.4. Healthcare
    • 5.2.3.5. Retail and E-Commerce
  • 5.2.4. By Region
    • 5.2.4.1. North America
    • 5.2.4.2. Europe
    • 5.2.4.3. Asia-Pacific
    • 5.2.4.4. South America
    • 5.2.4.5. Middle East and Africa
  • 5.2.5. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2023)
• 5.3. Market Map Analysis, 2023
  • 5.3.1. By Offering
  • 5.3.2. By Applications
  • 5.3.3. By Vertical
  • 5.3.4. By Region

6. North America AI Studio Market Outlook, 2017-2031F*

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Offering
    • 6.2.1.1. Software
      • 6.2.1.1.1. Type
      • 6.2.1.1.2. User Interface
        • 6.2.1.1.2.1. Web-based
        • 6.2.1.1.2.2. Mobile-based
      • 6.2.1.1.3. Deployment Mode
    • 6.2.1.2. Services
  • 6.2.2. By Applications
    • 6.2.2.1. Sentiment Analysis
    • 6.2.2.2. Customer Service Automation
    • 6.2.2.3. Image Classification and Labelling
    • 6.2.2.4. Automatic Content Generation
    • 6.2.2.5. Others
  • 6.2.3. By Vertical
    • 6.2.3.1. Banking, Financial Services, and Insurance
    • 6.2.3.2. IT and Telecom
    • 6.2.3.3. Manufacturing
    • 6.2.3.4. Healthcare
    • 6.2.3.5. Retail and E-Commerce
  • 6.2.4. By Country Share
    • 6.2.4.1. United States
    • 6.2.4.2. Canada
    • 6.2.4.3. Mexico
• 6.3. Country Market Assessment
  • 6.3.1. United States AI Studio Market Outlook, 2017-2031F*
    • 6.3.1.1. Market Size Analysis & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share Analysis & Forecast
      • 6.3.1.2.1. By Offering
        • 6.3.1.2.1.1. Solutions
        • 6.3.1.2.1.2. Services
      • 6.3.1.2.2. By Offering
        • 6.3.1.2.2.1. Software
        • 6.3.1.2.2.1.1. Type
        • 6.3.1.2.2.1.2. User Interface
        • 6.3.1.2.2.1.2.1. Web-based
        • 6.3.1.2.2.1.2.2. Mobile-based
        • 6.3.1.2.2.1.3. Deployment Mode
        • 6.3.1.2.2.2. Services
      • 6.3.1.2.3. By Applications
        • 6.3.1.2.3.1. Sentiment Analysis
        • 6.3.1.2.3.2. Customer Service Automation
        • 6.3.1.2.3.3. Image Classification and Labelling
        • 6.3.1.2.3.4. Automatic Content Generation
        • 6.3.1.2.3.5. Others
      • 6.3.1.2.4. By Vertical
        • 6.3.1.2.4.1. Banking, Financial Services, and Insurance
        • 6.3.1.2.4.2. IT and Telecom
        • 6.3.1.2.4.3. Manufacturing
        • 6.3.1.2.4.4. Healthcare
        • 6.3.1.2.4.5. Retail and E-Commerce
  • 6.3.2. Canada
  • 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe AI Studio Market Outlook, 2017-2031F

• 7.1. Germany
• 7.2. France
• 7.3. Italy
• 7.4. United Kingdom
• 7.5. Russia
• 7.6. Netherlands
• 7.7. Spain
• 7.8. Turkey
• 7.9. Poland

8. Asia-Pacific AI Studio Market Outlook, 2017-2031F

• 8.1. India
• 8.2. China
• 8.3. Japan
• 8.4. Australia
• 8.5. Vietnam
• 8.6. South Korea
• 8.7. Indonesia
• 8.8. Philippines

9. South America AI Studio Market Outlook, 2017-2031F

• 9.1. Brazil
• 9.2. Argentina

10. Middle East and Africa AI Studio Market Outlook, 2017-2031F

• 10.1. Saudi Arabia
• 10.2. UAE
• 10.3. South Africa

11. Porter's Five Forces Analysis

12. PESTLE Analysis

13. Pricing Analysis

14. Market Dynamics

• 14.1. Market Drivers
• 14.2. Market Challenges

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

• 17.1. Competition Matrix of Top 5 Market Leaders
• 17.2. SWOT Analysis for Top 5 Players
• 17.3. Key Players Landscape for Top 10 Market Players
  • 17.3.1. Microsoft Corporation
    • 17.3.1.1. Company Details
    • 17.3.1.2. Key Management Personnel
    • 17.3.1.3. Products and Services
    • 17.3.1.4. Financials (As Reported)
    • 17.3.1.5. Key Market Focus and Geographical Presence
    • 17.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisitions
  • 17.3.2. IBM Corporation
  • 17.3.3. Google LLC
  • 17.3.4. Amazon Web Services, Inc.
  • 17.3.5. Vonage America, LLC
  • 17.3.6. Sprinklr Inc.
  • 17.3.7. Squirro AG.
  • 17.3.8. Meta Platforms, Inc.
  • 17.3.9. Altair Engineering Inc.
  • 17.3.10. Icertis, Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

18. Strategic Recommendations

19. About Us and Disclaimer