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About 81% of companies view platforms that democratize application development as an opportunity, even for experienced programmers.
Low-code programming systems are taking off among businesses interested in customizing their software. This is one of the takeaways from the report "Low-code adoption as a driver of digital transformation" by consulting firm KPMG. These resources allow anyone to create applications without needing programming knowledge through what is known as visual programming. Low-code programming is already part of the software development strategy for nearly one-third of corporations (31%).
A quarter of the 2,000 decision-makers in companies across Europe, the Middle East, Africa, the US, and the Asia-Pacific regions interviewed say their organizations have already implemented low-code programming processes in their daily operations. For those who have not yet started, 19% expect to deploy their first projects within the next 12 months, and 7% plan to do so within the next two to five years.
In addition to planning how to incorporate this technology, KPMG recommends that companies train their employees in the use of low-code programming to achieve the best outcomes. Half of the respondents have already started doing this, as 80% believe that low-code will play a crucial role in accelerating developments.
Other fields where this innovation is considered useful include IT operations and process security. Among the potential benefits of this tool, companies cite increased efficiency (53%), enhanced employee productivity (51%), application flexibility (43%), and cost reduction (42%). Four out of ten companies also find automation through this type of programming attractive.
Low-code and AI
This accessible programming method can be enriched by combining it with other growing trends such as AI (artificial intelligence). Just over half of respondents (54%) already use low-code with AI for information queries and sentiment analysis, while 85% of users find it relevant for low-code platforms to integrate AI. However, the top three priorities include other aspects such as scalability (91%), data and application security (90%), and having a comprehensive set of tools and features for creating powerful, robust applications (90%).