The Artificial Intelligence market is exhibiting massive growth in the coming years, likely to reach approximately $100 billion by 2030. Besides, the global Machine Learning (ML) market also shows a compound annual growth rate of 36.2%, with a projected value of $225.91 billion by 2030. Consequently, many industries are hiring the best machine learning and artificial intelligence development company to improve user experience in their mobile app solutions.
With voice assistants like ‘Hey Siri’ and ‘Ok Google’ and features like autocorrect and face detectors, this tech offers a lot of potential. Hence, there is no doubt that artificial intelligence and machine learning technologies are revolutionizing the mobile app development industry.
AI and ML influence the business structure and develop intelligent and innovative solutions across various industry vertices. This includes supply chains, marketing, product development, research, data gathering, analysis, and more.
How are AI and ML Technologies Making Mobile Apps Smarter?
Artificial intelligence and machine learning are lucrative technologies that can develop user-centric, reliable, and efficient mobile apps. Hence, a competent mobile app development company develops smarter and more effective applications implementing these technologies.
Artificial Intelligence (AI)-powered Digital Assistants
Digital voice assistant users are expected to reach 8.4 billion units by 2024, almost at par with all population. That’s why, there is no doubt that assistants can be found on almost every app and website today. With chatbots, you can assist your users in resolving their queries immediately. Hence, it can significantly reduce the workload of the support team.
A machine learning development company can enhance the performance of your GPS-based apps. Utilizing the power of advanced AI and ML, you can implement top-notch features like street view, detecting traffic flow and pattern, and estimating arrival time. This can help your users plan their path, ditching the traffic.
Enhancing eCommerce Operations
Technologies like AI and ML provide immense benefits to enhance the online shopping experience, such as dynamically changing prices, quality search results, inventory, and supply-chain management. These technologies make it possible to offer automated responses to common customers’ inquiries. Moreover, ML provides accurate data, making optimizing inventory and analyzing transactions efficiently. Additionally, it assists eCommerce service providers to enhance their customer support operations.
Highly Personalized Experience
Every app user is unique, and catering to their specific requirements can be challenging. In this highly competitive market, people have many options to select an app that fulfills their needs. Therefore, providing users with a personalized interface, features, and functionalities leads to higher customer engagement. Moreover, an AI-enabled app removes the language barrier, making your application more inclusive.
Advanced Search Results
Do you want your target users to find your services easily? Machine learning and artificial intelligence search engine make it possible to provide accurate results to users’ search queries. AI and ML integrated with robotic process automation (RPA) train your application to improve it over time and reduce errors. Hence, it allows you to make your services more accessible to customers around the globe.
Better App Security
Implementing robust security practices, such as biometrics, face, and voice recognition, help you to secure user data and account information. Moreover, AI and ML algorithms can collect and analyze data to recognize deviations in patterns to detect any unauthorized access or unusual activity. This helps a mobile app development company’s QA and security team pinpoint threats and breaches that might have gone unrecognized.
Study User Behavior of Artificial Intelligence
Artificial Intelligence and Machine Learning algorithms detect user behavior and collect data to identify how users perceive your application. This can provide accurate data and insights to businesses, help them provide relevant updates, and integrate features in demand. A feedback-driven mobile app enables you to understand the interests and behavior of customers, making your market fit for the current market trend.
How Much Does It Cost to Develop an Artificial Intelligence and ML Integrated App?
Artificial intelligence and machine learning are modern technologies for developing effective mobile apps. Implementing ML and AI-based app help to enhance your customer experience and extend your services with smart solutions. Therefore, small-scale to large-scale industries can leverage AI and ML-integrated app development to grow their business.
However, developing an AI and ML app can cost you more than a traditional app, as the complexities of these technologies play a vital role in influencing the project scope.
Here are the factors that can influence the total mobile app development cost.
Defining the Business Goals
This phase involves market research and planning to lay the foundation of your ML and AI-based app. You can gather all the requirements to determine the size and complexity of your application, such as features, type of AI app, platform selection, and charges of the mobile app development company.
Type of AI App and Technologies Used
Every business must select a suitable application and technologies that fit its unique requirements. There are many examples of AI that you can integrate into your mobile application, such as process automation, machine vision, chatbots, voice recognition, etc. Besides, the type of technologies, cloud services, and AI frameworks will also affect the cost of mobile app development.
Platform Selection
You need to select a suitable mobile platform to deploy your iOS or Android app. Both of these platforms have their own loyal customers, tech stacks, features, etc. Therefore, the app development cost can differ depending on the opted platform. Besides, you can choose to develop a cross-platform app for a more cost-effective option.
Data Cost
Data play are vital role in generating accurate results from ML and AI apps.
Team Selection
To develop a feature-rich mobile application with AI and ML technologies, you must hire a top-rated artificial intelligence and machine learning development company. The hourly charges of the development team, including a project manager, UI/UX designers, backend developers, and QA engineers, will add to the mobile app development cost.
Level of App Complexity
Based on business requirements, the complexity of AI app development changes. To provide your app users with a unique experience, you need to make your application more feature-rich. This can involve more cost, time, and effort of the development team.
Here are the number of hours involved in the AI app development, based on app complexity.
- Simple App: An AI and ML app with standard features can take 300-400 hours.
- Moderate App: This app contains custom requirements that can take up to 500-750 hours.
- Complex App: An app with advanced features, exclusive user experience, complex third-party APIs, etc., can take around 800-1500 hours.
Hence, the cost of an AI-integrated app depends on research, resources, complexity, features, platform, and development time. Consequently, developing an app integrated with AI and ML can cost between $60,000 and $120,000. However, this cost can reach up to $500,000 or more with more advanced features & functionalities, and custom requirements.
Step-by-step Process to Integrate Artificial Intelligence and ML in Mobile App Development
AI & ML can elevate many industry vertices with innovative mobile apps, including travel, Social Media, Healthcare, Education, etc. Here are the steps to consider while developing AI and ML-integrated applications.
Requirement Gathering
The first step is to identify the issues you want to resolve with your AI app. Therefore, you can select the technologies and features to implement accordingly.
Planning and Budget
After identifying the problem areas, you can form a strategy and plan a budget to prioritize app development.
Data Integration & Security
At this point, you must take note of the feature to integrate into your AI and ML app and development requirements. Next, you must focus on the database to ensure your data is organized to maintain an optimum app performance.
Implementation
After the planning, budgeting, and pre-processing are done, you can begin with the app development process. A robust analytics system allows you to analyze the impact AI and ML add to your app.
Use Supporting Technological Aids
After the app is developed, you can choose robust supporting technologies to keep your app performance consistent. This includes using security tools, backup software, optimization solutions, etc.
Ready to Transform Mobile App Development With Advanced AI and ML Technologies?
As technology advances, the future of artificial intelligence and machine learning is promising. With an increased user base of AI-based applications, it is high time to leverage this market with your unique idea. As the world is moving towards automation with AI and ML, new opportunities are opening up for entrepreneurs.
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