Predicting the weather, recommending new songs and movies, diagnosing diseases — these are just a few of the many machine learning applications that your business can offer the world.
If you’re considering developing a machine learning application and want to learn more about the current state of the market, possible use cases, and how to actually do it, you’ve come to the right place.
Our research and development experts prepared infographics that will give you all the information you need in the most convenient and concise way. So let’s get started!
Machine learning market in focus
The machine learning market has seen explosive growth in recent years, with its global market expected to reach $209.91 billion in size by 2029. This growth is driven by the increasing demand for advanced analytics and the need for automation and intelligent decision-making.
Here are some more statistics.
Why build a machine learning application?
Here are the facts that explain why businesses opt for implementing machine learning and creating ML-powered applications.
Learn how businesses can apply machine learning in 10 different ways
Technology stack for machine learning app development
The machine learning development process requires at least 6 categories of tools: frameworks and libraries, APIs and SDKs, data preprocessing and analysis, visualization tools, cloud platforms, and DevOps tools.
5 steps to build a machine learning application
Check out what the process of building an ML-driven application looks like.
Find out more about three essential ML models that your business will use to build an application
What machine learning apps can you build for your industry?
Here are some examples of machine learning applications that a cross-platform app development company, web, or mobile app development company can create for different industries.
In addition, an iOS app development company or Android app development company can ensure these applications are optimized for their respective platforms, providing a native-like experience while maintaining a shared codebase.
Final thoughts
Machine learning applications are not limited to the areas mentioned above. If you have an idea for how to use this innovative technology in your industry, it might well also be possible and profitable. Whether you’re a forward-thinking enterprise or an IoT development company looking to leverage machine learning for connected devices, the opportunities are vast and transformative.
Are you ready to make the transition to an ML-powered business? Turn to our machine learning consulting team and we will help you shape your ML-driven growth strategy, consult with you on how to create a machine learning application, and build one for you.
Our service offerings extend to:
- Custom software development services
- Web development services
- Accessible web development
- AI development
- ML for fraud detection
- Data analytics
- Business intelligence
- Big data consulting services
- dApp development
Don’t wait to innovate — start your project now!
