The constant use of a programming language is increasing day by day owing to the major rise in applications. Developers or programmers need to leverage two types of coding language such as open-source and licensed for developing applications with cutting-edge technologies such as AI, data science, and many more. The global programming language market size is expected to hit US$281.6 billion in 2027 at a CAGR of 10.5%. Meanwhile, the global AI market size is expected to hit US$169,411.8 million in 2025 at a CAGR of 55.6%. Open-source and licensed are both available in the global tech market to seamlessly drive customer engagement through AI applications. Let's explore which coding language is better for creating AI applications in 2022 — open-source or licensed.
TOP 10 GAME RELATED PROGRAMMING LANGUAGES TO MASTER IN 2022
TOP 10 PROGRAMMING LANGUAGES TO GET A JOB WITHOUT A DEGREE
10 FORGOTTEN PROGRAMMING LANGUAGES OF 2022 YOU SHOULD KNOW
An open-source programming language drives all kinds of applications and smart devices in this global tech market. It is known for offering ample opportunities to create seamless source code for digital products with AI and other technologies. Open-source software is transforming smart devices and products with efficient and effective app development to make the world a better place.
There are multiple open-source coding languages available to use with innumerable libraries. These are easily available to the large community of developers, programmers, or coders. An open-source programming language can be freely distributed under multiple open-source licenses. A coding language library is very useful for open-source project databases owing to its time-saving feature while writing source code for AI applications to meet customer satisfaction.
Developers of AI applications can reap the benefits of an open-source programming language such as a collaborative community, multiple open libraries, a free supply of resources, and licensing with the distribution. Some of the top open-source programming languages for creating seamless AI applications are Python, Swift, Java, and many more. The license must be technology-neutral without any restriction on other software.
Yes, there is also an open-source license for developing AI applications to allow source code or a design for using and modifying under some defined terms and conditions. Developers can use this coding language with utmost customization and troubleshooting needs free of cost. Meanwhile, the licensed programming language is known for restricting the non-commercial redistribution and modification of any source code for a programming language.
That being said, a licensed programming language always offers the availability of source code for building any AI application but it puts restrictions on the freedom of developers at some point of the time. There are also two categories of an open-source licensed programming language such as copyleft and permissive.
Thus, it depends on developers, programmers, and coders whether to leverage an open-source programming language or licensed coding language for the better development of AI applications. It is necessary to go through extensive research on different programming languages such as Python, R, Java, JavaScript, C, C++, C#, and many more. it completely depends on the practical and theoretical knowledge of developers to select the best and most suitable programming language for AI. It will help to drive revenue, customer engagement, and brand loyalty in this highly competitive tech market across the world.
Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
_____________
Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.