市场调查报告书
商品编码
1599839
AI工作室市场评估:提供区分·用途·产业·各地区的机会及预测 (2017-2031年)AI Studio Market Assessment, By Offering, By Applications, By Vertical, By Region, Opportunities, and Forecast, 2017-2031F |
全球人工智慧工作室市场规模预计将从 2023 年的 56.6 亿美元增长到 2031 年的 702.1 亿美元,预测期内复合年增长率为 37.00%。
由于人工智慧和机器学习等各种技术的不断进步,人工智慧工作室市场正在经历显着成长。由于远距工作文化和混合环境的出现,市场需求也出现强劲增长,进一步增加了对支援协作和自动化的基于云端的人工智慧开发工具的需求。
全球范围内扩大采用基于云端的解决方案,预计也将推动对基于云端的人工智慧开发工具的需求。基于云端的 AI Studio 提供对高级 AI 工具的轻鬆、可扩展的访问,无需大量基础设施投资。这种灵活性允许各种规模的公司根据自己的需求部署和扩展人工智慧技术,并促进团队成员之间的协作,无论地理位置如何。此外,人工智慧工作室预计将在数据民主化和实现数据驱动决策方面发挥关键作用。资料民主化透过使用者友善的介面和无程式码/低程式码平台简化了资料科学工作流程,允许非技术使用者创建和部署机器学习模型,而无需了解复杂的工作流程。这提高了营运效率并促进创新和成长,因为组织可以利用数据洞察来创建新产品、服务或流程。
本报告提供全球AI工作室的市场调查,彙整市场定义和概要,市场规模的转变·预测,各种区分·地区/各主要国家的详细分析,产业结构,影响市场成长因素的分析,案例研究,竞争情形,主要企业简介等资讯。
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.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.