GlobalData, a prominent data and analytics company, has recognized Microsoft and Salesforce as industry leaders in the low-code domain due to their effective integration of generative AI. This recognition comes at a time when the digital transformation era demands swift application development and intelligent automation, compelling forward-thinking enterprises to explore the possibilities offered by emerging technologies.
As per GlobalData’s “Low-Code Platforms: Competitive Landscape Assessment” report, the low-code market segment has witnessed intense competition. Microsoft has bolstered its competitive stance by integrating its Power Automate offering with the Azure OpenAI service. Meanwhile, Salesforce has further consolidated its position by integrating Salesforce Flow/Automation and Einstein tools, including Einstein GPT CRM tools, into its recently introduced Data Cloud platform.
Charlotte Dunlap, Research Director at GlobalData, comments: “Global public cloud 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 causing disruptions in the application platform market space. This approach has proven to significantly accelerate the application development process, enabling efficient collaboration between business and IT stakeholders.
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.”
The emergence of generative AI technologies is poised to eliminate the need for fundamental coding and scripting tasks, while simultaneously automating operational provisioning within DevOps teams.
Dunlap concludes: “Consolidating these innovations into low-code platforms and solutions helps abstract complex configurations 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.”
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