Microsoft, Salesforce fuels Low-Code Innovation with Generative AI Investments

In the era of digital transformation, businesses are seeking faster app development and intelligent automation to stay ahead. To harness the power of emerging technologies, forward-thinking enterprises are exploring innovative solutions. Recognized as pioneers in the low-code domain, Microsoft and Salesforce have emerged as leaders for their seamless integration of generative AI. Subsequently, confirmed by GlobalData, a renowned data and analytics company.

GlobalData’s “Low-Code Platforms: Competitive Landscape Assessment” report reveals that the low-code market segment has become fiercely competitive. Microsoft has strengthened its competitive position by coupling its Power Automate offering with the new Azure OpenAI service. Likewise, Salesforce has continued to consolidate the Salesforce Flow/Automation and Einstein tools; including Einstein GPT CRM tools within its new Data Cloud platform.

Charlotte Dunlap, Research Director at GlobalData, comments: “Global public clouds platform providers such as Google, Microsoft, and Amazon are rapidly pushing into the low-code market as they launch strategies around visualization tools, automation capabilities, and, importantly, new generative AI strategies and technologies. Furthermore, emerging technologies such as generative AI will play an important role among DevOps teams; with capabilities already being integrated into some low-code, automation, and security platforms.”
With their model-driven visual approach, low-code vendors have been revolutionizing the application platform market space. This disruptive technology accelerates the app development process, enabling efficient collaboration between business and IT stakeholders. By streamlining and simplifying the development workflow, low-code platforms empower organizations to create applications at a significantly faster pace.

Dunlap continues: “This is achieved through high-productivity design tools, AI-injected connectors to backend systems, increased use of ML models, and intelligent automation technologies—all of which address complex workflows. AI has been incorporated into numerous solutions in the low-code market; building on next best action models to react more quickly to event-driven architectures.”

Emerging generative AI technologies will help eliminate baseline coding and scripting. Meanwhile, helping to automate operational provisioning among DevOps team members.

Dunlap concludes: “Consolidating these innovations into low-code platforms and solutions helps abstract complex configurations. These are required to react to business events, further automating business processes and enhancing the customer experience. It's not surprising that emerging technologies, including process automation, application security, and observability—whose daunting complexities threaten adoption—are also being coupled with low-code platforms.”