The Low-Code AI Platform Market is being driven by Democratization of artificial intelligence and addressing acute talent scarcity
The Low-Code AI Platform Market is expected to grow at a CAGR of 32.2% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 32262.6 million. The low-code AI platform market is experiencing a significant shift with the integration of generative artificial intelligence (AI). Initially, this technology was utilized as a component within low-code applications, such as generating marketing copy or summarizing customer service tickets. However, the trend has evolved, positioning generative AI as an active co-developer and a natural language interface for the development process itself. This transformation is making low-code platforms more conversational and intent-based, thereby reducing the technical barrier to entry and expediting development cycles. The deep integration of generative AI is fundamentally altering how applications are built and what they can accomplish in the global low-code AI platform market.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
225 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 32.2% |
Market growth 2025-2029 |
USD 32262.6 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
25.7 |
Key countries |
US, China, Canada, Japan, Germany, UK, India, Mexico, France, and South Korea |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the Low-Code AI Platform market, automated model building is a key feature, allowing for efficient AI model management. Workflow automation engines ensure seamless integration with data governance frameworks and model versioning systems. AI-driven insights are enhanced through business intelligence tools, while data security protocols and performance monitoring tools maintain security and reliability. Agile development methodologies, DevOps integration, and continuous integration/delivery enable quick deployment through testing automation frameworks and deployment pipelines. Model retraining strategies address AI bias, while data preprocessing techniques and feature engineering tools refine data for optimal model performance. Model explainability techniques and user interface/experience design enhance user understanding, and model performance metrics and algorithm selection criteria ensure accurate and effective AI models. AI bias detection and application security testing further secure the platform.
The low-code AI platform market is a segment of the global application software industry, focusing on the development and provision of AI-powered automation tools. These platforms offer a visual workflow designer and a drag-and-drop interface, enabling businesses to build custom applications with minimal coding. Technavio's market analysis encompasses companies providing low-code AI solutions, including those offering model training pipelines. Our calculation of the market size considers the combined revenue generated by these organizations in the global application software sector.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
Jesse Maida
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