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Microsoft and Salesforce Lead Low-Code Market with Generative AI

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Microsoft and Salesforce have emerged as leaders in the low-code space for their integration of generative AI, according to a report by GlobalData, a prominent data and analytics company. The digital transformation era has fueled the demand for rapid app development and intelligent automation, prompting innovative enterprises to explore the potential of emerging technologies.

The “Low-Code Platforms: Competitive Landscape Assessment” report by GlobalData highlights the fiercely competitive nature of the low-code market segment. Microsoft has strengthened its position by combining its Power Automate offering with the new Azure OpenAI service. On the other hand, Salesforce has been consolidating its Salesforce Flow/Automation and Einstein tools, including Einstein GPT CRM tools, within its Data Cloud platform.

Charlotte Dunlap, Research Director at GlobalData, acknowledges the rapid entry of global public cloud platform providers such as Google, Microsoft, and Amazon into the low-code market. These companies are launching strategies centered around visualization tools, automation capabilities, and innovative generative AI strategies and technologies. Dunlap emphasizes the importance of emerging technologies like generative AI, which are expected to play a significant role among DevOps teams and are already being integrated into low-code, automation, and security platforms.

Low-code vendors have been disrupting the application platform market by employing a model-driven visual approach, enabling a faster app development process and facilitating collaboration between business and IT stakeholders.

Dunlap further explains that this acceleration is achieved through high-productivity design tools, AI-powered connectors to backend systems, increased utilization of machine learning models, and intelligent automation technologies. AI has been seamlessly integrated into numerous solutions within the low-code market, leveraging next best action models to enable quicker responses to event-driven architectures.

Emerging generative AI technologies hold the promise of eliminating the need for baseline coding and scripting, while also automating operational provisioning among DevOps team members.

Dunlap concludes by emphasizing the significance of consolidating these innovations into low-code platforms and solutions. This approach helps abstract the complexities involved in reacting to business events, automates business processes, and enhances the overall customer experience. To overcome adoption challenges associated with daunting complexities, emerging technologies such as process automation, application security, and observability are being coupled with low-code platforms, ensuring a comprehensive solution for enterprises.

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