Mobile Artificial Intelligence Market Trends

• The market for smartphone AI processors is growing because more and more people want real-time voice processing and image recognition. Most AI processors have extra built-in neural processing units (NPUs) that can do cognitive tasks, work in parallel, and use little power. On-device AI uses AI-specific chipsets, and by 2022, all top-of-the-line smartphones should have them. Most new high-end smartphones include AI chips with a dedicated neural processing unit.
• AI is becoming the most important part of smartphones, and it can be used for a lot more than just digital assistants. With Edge-AI technology, many AI functions that used to be done on the back end can now be done on the phone itself. With each update, artificial intelligence (AI) and machine learning (ML) make hardware and software for mobile phones better. This affects marketers and customers and makes life easier for everyone.
• The features of the virtual assistant are steadily improving. Some speech recognition now provides a greater understanding than a human listener, even in crowded conditions. Over time, virtual assistants are likely to become a much more significant part of the user's phone interface, and AI will identify the natural human language the user provides. In the coming years, smartphone manufacturers are expected to implement even more advanced AI and ML to identify people as their facial features change, such as growing a beard or wearing glasses.
• Moreover, the growing penetration of cell phones worldwide is also helping the market grow. For example, the mobile penetration in North America had 321 million unique mobile subscribers. By 2025, the penetration rate will increase by 2% to 345 million individual mobile subscribers.

A growing number of mergers and partnerships between big tech companies also helped the market grow. Apple is the leading buyer of companies in the global artificial intelligence space. For instance, Apple acquired the most AI companies, defeating Accenture, Google, Microsoft, and Facebook. All of the other companies also had an increased number of AI acquisitions.