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Industry Landscape

The low-code/no-code industry is experiencing rapid growth, driven by the increasing demand for digital transformation, agile development, and the empowerment of citizen developers. It addresses the IT talent gap and accelerates application delivery for businesses of all sizes, making it a critical tool for innovation and efficiency.

Industries:
Low-Code DevelopmentNo-Code DevelopmentApplication DevelopmentDigital TransformationWorkflow Automation

Total Assets Under Management (AUM)

Low-Code Development Platform Market Size in United States

~Approximately $13.2 billion (2023, US market)

(20-25% CAGR)

This growth is fueled by:

- Increased adoption across various industries.

- Demand for faster application delivery.

- Rise of citizen developers.

Total Addressable Market

Over $30 billion

Market Growth Stage

Low
Medium
High

Pace of Market Growth

Accelerating
Deaccelerating

Emerging Technologies

AI-Powered Development

Integration of artificial intelligence and machine learning into low-code/no-code platforms to automate code generation, suggest optimizations, and enhance development efficiency.

Composable Architectures

The shift towards building applications from modular, reusable components and services, enabling greater agility, scalability, and faster development cycles.

Process Mining & Hyperautomation

Leveraging process mining to identify automation opportunities and hyperautomation to combine various technologies like RPA, AI, and low-code to automate end-to-end business processes.

Impactful Policy Frameworks

NIST AI Risk Management Framework (AI RMF 1.0, 2023)

The NIST AI RMF provides a voluntary framework for managing risks associated with AI, promoting trustworthy and responsible AI system development and use.

This framework will guide Alpha Software in developing AI features for their platforms responsibly, ensuring compliance and building trust with customers concerned about AI ethics and reliability.

Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)

This broad Executive Order directs federal agencies to establish new standards for AI safety and security, protect privacy, promote innovation, and ensure responsible government use of AI.

It will likely lead to increased scrutiny on AI components within low-code/no-code platforms, requiring Alpha Software to ensure their AI capabilities adhere to emerging federal guidelines regarding data privacy and security.

Cloud Smart Policy (US Federal Government, 2019)

The 'Cloud Smart' strategy encourages federal agencies to adopt cloud technologies responsibly, focusing on security, procurement, and workforce development.

This policy continues to drive federal agencies towards cloud-based solutions, potentially increasing demand for Alpha Software's Alpha Cloud offering among government clients in the US.

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