Research Expert: Sarah Overall
  • Published: Jul 2025
  • Pages: 150
  • SKU: IRTNTR80693

  • Latest News- Low-Code AI Platform Market: Platforms is expected to lead the Component segment during 2025-2029

    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. 

    Get more information on Low-Code AI Platform Market by requesting a sample report

    Which Factors Are Causing a Surge in Market Growth?

    The market is segmented based on

    • Component
      • Platforms
      • Services
    • Technology
      • Natural language processing
      • Machine learning
      • Computer vision
    • Deployment
      • Cloud
      • On-premises
    • Geography
      • North America
        • Canada
        • Mexico
        • US
      • APAC
        • China
        • India
        • Japan
        • South Korea
      • Europe
        • Germany
        • UK
        • France
      • Middle East and Africa
        • South America

        According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

        • Democratization of artificial intelligence and addressing acute talent scarcity
        • Imperative to accelerate digital transformation and enhance business agility
        • Integration of generative AI and its mainstream enterprise adoption

        However, the market also witnesses some limitations, which are as follows:

        • Governance, security, and management of shadow IT
        • Limitations in customization, scalability, and performance
        • Lock-in and integration complexity

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        Market Scope in Low-Code AI Platform Market Research Report

        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

        Find out which segment is leading the market by accessing the free PDF report

        Research Analysis Overview

        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.

        Market Research Overview

        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.


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        Technavio Research
        Jesse Maida
        Media & Marketing Executive
        US: +1 844 364 1100
        UK: +44 203 893 3200
        Email: media@technavio.com
        Website: www.technavio.com/

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