Top 10 AI Software Development Trends 2024

The world of software development is always evolving to accommodate the needs of users and emerging technologies. Given the software industry's dynamic nature, monitoring the significant advancements that will shape the software environment in 2024 is critical.

What is AI software?

Artificial intelligence (AI) software enables computers to process large volumes of data and solve problems that would otherwise need human intelligence. These tasks include image recognition, video analytics, natural language processing, speech recognition, and text recognition. 

AI's strategic importance is rapidly increasing across all industries. Numerous firms are researching and potentially using AI technology to improve their operations and preserve a competitive advantage. Those who are slow to accept new technology may fall behind their competitors in this sector.

The rationale is that AI can automate many tasks that humans are unable or unwilling to perform. As a result, firms that delay implementing AI risk missing out on possibilities to increase product or customer service quality, productivity, and cost-effectiveness.

Keep an eye on these top 10 trends in AI software development.

1. Cloud-based Services

The COVID-19 pandemic has accelerated the transition to cloud services. In times of uncertainty, these services allow businesses to scale up or down according to their needs. Gartner predicts that end-user spending on public cloud services will rise 18.4% globally in 2021. This trend will continue until at least 2023, if not longer, as businesses digitize their processes.

2. Blockchain's Expanding Reach

Blockchain technology has the potential to be used in a variety of industries, in addition to cryptocurrency. It is beneficial for preventing fraud because it provides a secure method of recording transactions. Statista predicts that the blockchain technology business will be worth $39.7 billion by 2025, indicating increased demand.

3. The development of AI.

As artificial intelligence advances, new prospects for commercial innovation emerge. As a result of AI's rapid growth, opportunities abound, fueled by new software breakthroughs. Natural language processing (NLP) is an intriguing subfield of artificial intelligence that allows computers to understand and interpret human speech. Since 2000, AI patenting has grown at a 34% yearly rate, according to Stanford University research. Ethical AI, which aims to ensure that AI systems help humans while being ethical, is also gaining popularity.

4. An increase in low-code and no-code development.

One of the most significant recent trends in AI software development is low-code/no-code programming, or LCNC. There is a significant shortage of software engineers, but this solution enables application building even for people without technical backgrounds. Gartner predicts a 23% increase in LCNC development in 2021. By 2023, this trend is expected to continue, bringing software creation even closer to the masses.

5. Progress in the use of modern languages.

The emergence of new programming languages with cutting-edge features and capabilities, such as Kotlin, Rust, and Go, will be a significant trend in 2024. For example, Rust's emphasis on speed, dependability, and productivity has made it a popular platform. According to GitHub's 2020 Report, it was named the "most loved" language, indicating a promising future.

6. Increase in Native App Development.

Native app development has never been more important than it is now, thanks to the proliferation of mobile devices. Native apps outperform hybrid apps in terms of user experience since they are suited to the platform on which they run. Statista predicts that mobile advertising spending will top $240 billion by 2022, emphasizing the importance of mobile apps.

7. The Development of Progressive Web Applications

Progressive internet apps (PWAs) are hybrid apps with the best features of internet and mobile apps. They include capabilities such as offline access and push notifications, which are usually seen in native apps but can be accessed through web browsers. Google's vocal endorsement of progressive web apps (PWAs) bodes well for its future growth.

8. Prioritization of cybersecurity.

Cybersecurity will remain a big issue for businesses as the number of cyber threats and data breaches grows. Training employees about secure practices, staying current on the latest threats, and establishing strong security measures are all important steps to ensure data safety. The projected expansion of the global cybersecurity market to $345.4 billion by 2026 underlines the importance of this trend.

9. Personalization Made Simple with the Internet of Behavior (IoB)

The Internet of Behavior (IoB) is a new invention that builds on the IoT. It watches and analyzes how users interact with various apps and gadgets and collects data from them. Gartner predicted that by 2023, 40% of the worldwide population would have their behaviors recorded, even though IoB has yet to gain popular traction.

You can use the data it collects to give users a more tailored experience. Startups can study how social media and video-sharing services, such as YouTube and Facebook, leverage IoB to personalize advertisements and content for individual users. As the importance of personalization in digital interactions grows, IoB will most likely be used more frequently.

10. Computing at the network boundary

Edge computing, which pushes data processing closer to its place of generation, or the "edge" of the network, provides two benefits: reduced latency and bandwidth use. The global edge computing sector was valued at $3.5 billion in 2019, according to Grand View Research, and it is expected to increase at a CAGR of 37.4 percent between 2020 and 2027. IoT devices require a high level of data creation. Edge computing improves privacy and security by storing data locally.


Future software developers will employ novel tools while adhering to those that allow them to uphold their ideals of improving user experiences, boosting return on investment, and creating a long-term difference in the environment. After studying the most breakthroughs in software development, it is clear how a range of new technologies will impact the industry in 2024, all while keeping security, efficiency, and sustainability in mind.

To keep up with new technologies' ever-changing opportunities and risks, leading AI development services organizations and engineers must accept these trends while remaining flexible. As we prepare for the new year, we look forward to this convergence of innovation and thoughtful development techniques. After all, eco-friendly technology will revolutionize how people use software development services.


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