PUBLISHER: Grand View Research | PRODUCT CODE: 1474884
PUBLISHER: Grand View Research | PRODUCT CODE: 1474884
The global no-code AI platform market size is anticipated to reach USD 24.42 billion by 2030 and is projected to grow at a CAGR of 30.6% from 2024 to 2030, according to a new report by Grand View Research, Inc. The no-code AI is an AI landscape category that intends to democratize AI. It uses a no-code AI development platform with a code-free, visual, and drag-and-drop interface to implement machine learning and AI models. No-code AI capabilities are provided by various tools, including some automation solutions and dedicated no-code AI tools that incorporate integrated AI capabilities in a no-code user interface. No code AI platform allows non-technical users to quickly analyze, classify data and easily create precise models to make predictions.
Enterprises globally are persuaded to increase their investment in AI/ML systems to achieve a competitive edge through better customer insights and increased employee productivity. No-code AI platform enables the creation of AI models without requiring skilled personnel. This benefits businesses since there are simply not enough data science skills. Building AI models takes time, effort, and experience. No-code AI decreases the time it takes to construct AI models to minutes, allowing organizations to incorporate these models into their operations immediately. For instance, in May 2023, Writesonic, Inc., developer of an AI-powered copywriting tool, announced the release of Botsonic, an innovative no-code AI chatbot builder. The new no-code AI chatbot builder is equipped with GPT-4 technology, enabling any enterprise with a no-code integration strategy to effortlessly incorporate Botsonic into its website in minutes.
Moreover, building custom AI solutions necessitates data organizing, data cleansing, code development, debugging, categorizing, and model training. These take significantly longer for users who are unfamiliar with data science. No-code AI platforms have the potential to save development time. No-code AI platforms are designed to aid non-technical users in constructing ML models without delving into the specifics of each process stage, making them simple to use. Additionally, increasing high-quality, affordable automated technology availability is expected to drive market growth expansion in the coming years.