The Asia Pacific No-code AI Platform Market would witness market growth of 26.9% CAGR during the forecast period (2023-2030).
The market is expanding due to the international adoption and quick development of AI and machine learning. Automated machine learning technologies are becoming increasingly popular because they are made for businesses without ML expertise. No-code AI platforms help decrease faults, speed up delivery, and make data science more usable, offering promising market expansion opportunities throughout the projection period. No-code AI platforms make it possible to create AI models without the help of AI specialists. It takes effort, time, and expertise to build AI models.
The time it takes to build AI models is reduced to minutes by no-code AI platforms, making it simple for businesses to integrate machine learning (ML) models into their procedures. The initial hurdles for people and businesses to start experimenting with ML and AI are reduced by no-code AI solutions. With the help of these technologies, organizations can quickly and affordably adopt AI models, giving their subject-matter experts access to cutting-edge machinery.
No-code AI systems that are tailored to the regional market in the Asia Pacific region are becoming more popular. To meet the particular needs of enterprises in this region, these platforms provide customized user language support, interfaces, and sector-specific solutions. Numerous businesses in India have incorporated AI services and solutions for their operational needs during the past few years. Due to India's increasing internet adoption, most businesses were forced to switch to mobile and software application platforms, regardless of their industry. Over the past few years, the country has seen significant growth in software development automation and analytics.
By 2025, the Indian government hopes to develop a software industry worth between $70 and $80 billion that will employ about 3.5 million people directly and indirectly. In order to achieve the 2025 target, the Indian IT sector would need to change from a service-focused sector to an innovation-driven one. New technologies like AI will play a significant role in this transformation. Furthermore, national efforts like Make in India, Startup India, Digital India, and Skill India have increased the relevance of technology like AI. As part of the "Artificial Intelligence for All" project, NITI Aayog sponsored a four-month worldwide hackathon in cooperation with the Singapore-based AI firm Perlin in December 2018. Hence, the region presents lucrative growth prospects for the market.
The China market dominated the Asia Pacific No-code AI Platform Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $1,358.5 million by 2030. The Japan market is registering a CAGR of 26.1% during (2023 - 2030). Additionally, The India market would witness a CAGR of 27.6% during (2023 - 2030).
Based on Component, the market is segmented into Platform (Without Services) and Services. Based on Technology, the market is segmented into Natural Language Processing, Computer Vision, Predictive Analytics, and Others. Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium Enterprises. Based on Deployment Type, the market is segmented into On-premise and Cloud. Based on End-use, the market is segmented into Telecom & IT, BFSI, Retail & E-Commerce, Healthcare & Lifesciences, Government, Energy & Utilities and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
Free Valuable Insights: The Worldwide No-code AI Platform Market is Projected to reach USD 17.5 Billion by 2030, at a CAGR of 25.9%
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Apple, Inc., Amazon.com, Inc., Google LLC (Alphabet Inc.), Microsoft Corporation, DataRobot, Inc., QuickBase, Inc., Akkio, Inc., Caspio, Inc., Clarifai, Inc., and Levity AI GmbH.
By Component
By Technology
By Enterprise Size
By Deployment Type
By End-use
By Country
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