Did you know that there are over 700 programming languages in use today, and some are still in development? They have been influencing the market for a decade.

Programming languages play a vital role in keeping pace with change as technology continues to evolve and change the face of our world. The future of programming languages and their viability depend on certain factors such as security, updates, software performance, maintainability, etc. However, this largely depends on the direction in which the software will also evolve.

In line with the pace of change, several programming languages are increasingly gaining ground in the market and there are opinions that these will be the ones that will define the future of technology by 2030. And today we’ve chosen to share with you the top 5 programming languages that will dominate the market by 2030 according to Analytics insight.

Programming Languages That Will Dominate by 2030

Kotlin
Kotlin is a general-purpose programming language developed by JetBrains and the first official release was in February 2016. The language was used for Android App Development which sparked a lot of buzz in the market. Kotlin is also used for web development, data science, server-side applications, and more. It works on a variety of platforms like Windows, Mac, Linux, Raspberry Pi, etc. Kotlin is easy to learn and free to use. Interoperability with Java, strong typing, and null safety are some of the highlighting features of Kotlin.

Swift
Swift is a general-purpose, object-oriented, multi-paradigm, functional programming language developed by Apple in 2014 and designed for building apps for Mac, iOS, Apple TV, and Watch. Swift performs faster through several optimizations. To write and debug high-quality code, its feature of automatic memory management and the powerful debugger will help. Swift makes the code-writing process efficient and makes the maintaining process of APIs and syntax easier. In short, Swift is an easy-to-learn, easy-to-implement, safe, fast, and expressive programming language, an attractive option got developers who want to create high-quality applications quickly and efficiently.

TypeScript
Typescript is a free and open-source high-level programming language developed by Microsoft in 2012. Its features include static typing that allows catching errors which helps reduce bugs and improve the quality of the code, and tooling that allows one to write better code by offering suggestions for better coding practice and identifying errors. Majorly, TypeScript is used by big companies like Google, Facebook, etc to develop large-scale applications. Concluding, TypeScript’s static typing, interfaces, tooling, etc make it a powerful option for a developer for developing high-quality, scalable code.

Go
Go is a statically typed, procedural, concurrent programming language created by Google in 2009. Go, also known as Golang is designed to be efficient, fast, and easy to use with a syntax that is simple and easy to read. This makes the language a popular choice for building scalable network services, web applications, and command-line tools. The garbage collection feature automatically manages memory for users instead of manual memory management. This reduces memory leaks and other bugs that arise from manual memory management. In short, Go is a fast, efficient, and easy-to-use programming language.

Logica
Logica is an open-source programming language by Google, designed to solve problems of SQL using the syntax of mathematical propositional logic. The language is suitable for developing applications that require complex reasoning or interfacing in AI or similar fields as it is logic-based. Logica is considered a successor to Yedalog, a language out of Google. This logic programming language is declaratively suited for data manipulation. The main objectives include improving the readability of queries in comparison to SQL while being appropriate for big data management as well. It is used in major companies like Google, Facebook, and Amazon and is a popular choice for developing rule-based systems