Low Code Mobile App Builder Market (By Type: Cloud-based and On-premise; By Application: Large Enterprises and SMEs; By Region: North America, Europe, Asia Pacific, and LAMEA) Industry Size, Share, Growth, Trends 2025 to 2034
The global low-code mobile app builder market size with valued at USD 829 million in 2024, is projected to reach approximately USD 1,693 million by 2034. This growth, fueled by rising demand for rapid app development and digital transformation, is expected at a CAGR of 7.4%.
| Reports Attributes | Statistics |
| Market Size in 2024 | USD 829 Million |
| Market Size in 2025 | USD 890 Million |
| Market Size in 2031 | USD 1,366 Million |
| Market Size by 2034 | USD 1,693 Million |
| CAGR 2025 to 2034 | 7.4% |
| Base Year | 2024 |
| Forecast Period | 2025 to 2034 |
The low-code mobile app builder market is expanding rapidly as organizations increasingly adopt low-code platforms to overcome the shortage of skilled software developers and reduce time-to-market. These platforms enable users to design, develop, and deploy mobile applications using intuitive visual interfaces and drag-and-drop functionalities, minimizing the need for traditional coding. The rising demand for enterprise mobility, coupled with the proliferation of smartphones and cloud-based solutions, is fueling adoption across sectors such as BFSI, healthcare, retail, education, and IT. Additionally, the surge in small and medium-sized enterprises (SMEs) adopting low-code tools to digitize workflows and enhance customer engagement is further propelling market growth.
However, data security concerns, integration challenges with legacy systems, and limited flexibility for highly customized applications act as major restraints. The reliance on vendor ecosystems and potential scalability issues also pose challenges for large-scale enterprise deployments.
The low-code mobile app builder market is expected to grow more rapidly as artificial intelligence AI and automation become deeply integrated into app development processes. Artificial intelligence enables automated code generation, predictive error detection, and personalized user interface design, drastically reducing development time and human error. AI-driven analytics also help developers optimize app performance and user experience through real-time behavioral insights. Furthermore, the combination of AI and low-code platforms empowers non-technical users to create sophisticated mobile applications with embedded machine learning features.
| Regions | Shares (%) |
| North America | 36% |
| Asia Pacific | 26% |
| Europe | 28% |
| LAMEA | 10% |
| Segments | Shares (%) |
| Cloud-based | 68% |
| On-premise | 32% |
| Segments | Shares (%) |
| Large Enterprises | 60% |
| SMEs | 40% |
Published by Yogesh Kulkarni
