Artificial Intelligence is revolutionizing how we work and live. As a result, businesses are moving toward developing AI apps to reach their targeted audience. AI algorithms can also analyze large amounts of data to help organizations make better decisions.
According to the study, the market size of AI is expected to reach $641.30 billion by 2028. Hence, the adoption of artificial intelligence is increasing, and there is no sign of stopping any time soon.
However, developing an AI app can be a complex and costly process that concerns entrepreneurs in the first place.
This blog post will provide a comprehensive guide to the AI-based mobile app development cost of developing an AI app and the factors affecting the development cost.
Table of Contents:
- Factors Affecting the Cost of AI App Development
- AI App Development Cost Based on the Development Process
- Top Use Cases of Artificial Intelligence in Various Industries
- How Can We Help You?
- Conclusion
Factors Affecting the Cost of AI App Development
Following is a list of the factors affecting the AI app development cost.
The Complexity of the AI Model
The complexity of the AI model you want to build will significantly impact the development cost.
A more complex model with multiple layers and a large number of parameters will take more time and resources to develop, increasing the cost. On the other hand, a simple app with a narrow focus will be less expensive.
Data Availability and Quality
The cost of developing an AI application will also depend on the availability and quality of the data used to train the model. Acquiring high-quality data and preprocessing it to make it suitable for training can be a time-consuming and expensive process.
The more data available for the app, the more accurate it will be and the higher the development cost. If the data is poorly structured or contains errors, it will take longer and be more expensive to clean and process for use in the app.
Development Platform
Developing an app for multiple platforms, such as iOS and Android, will be more expensive than developing just one platform. The platform on which the app will be developed will also affect the cost.
Some platforms offer pre-trained models and other tools to speed up development, while others may require more custom development work.
The Expertise of the Development Team
The cost of AI application development will also depend on the development team’s expertise. Hiring a team with specialized skills and experience in AI development will generally be more expensive than a team with less experience.
Overall, the size and experience of the development team will also impact the cost of AI app development.
Ongoing Maintenance and Updates
Another factor impacting the cost of AI app development is post-delivery app maintenance services.
It’s important to consider the ongoing maintenance and updates that will be required for the app. These costs can add up over time and should be factored into the overall budget for the project.
As data and requirements change, the model may need to be retrained, and the application may need to be updated to reflect these changes.
What Is the Cost of AI App Development?
The cost of developing an AI application varies based on the mobile app’s complexity, followed as:
| App Complexity | Features | Estimated Cost |
|
| Between $25k to $50k |
|
| Between $55k to $90k |
|
| Between 100k to 160K |
AI App Development Cost Based on the Development Process
The cost of developing an AI app depends on the development process, with key cost drivers including requirements gathering and planning, design and prototyping, development, testing and debugging, and deployment and maintenance.
Let’s go through each of them one by one.
Requirements gathering and planning
The first phase in the AI app development process is gathering app requirements and creating a plan.
It involves working with users to understand their needs and goals and determining the scope and functionality of the app. The cost of this phase will depend on the complexity of the app and the number of users involved.
Design and prototyping
The next step is to design and prototype the app, which involves creating wireframes, mockups, and prototypes to visualize the app’s user experience and functionality.
The cost of this phase will depend on the complexity of the app’s design and the number of iterations required to finalize the design.
Development
The development phase involves building the app, including integrating AI algorithms and functionality. The cost of this phase will depend on the app’s complexity, the development team’s size and experience, and the platform on which the app will be developed.
Testing and debugging
Once the app has been developed, it will need to be thoroughly tested and debugged to ensure it functions correctly.
The cost of testing and debugging depends on the complexity of the app and the number of test cases required. Also, it is essential to conduct app testing as it will ensure that your app has fewer risks of errors or glitches.
Deployment and maintenance
The final phase of the AI app development process is deployment and post-delivery app maintenance services. This includes deploying the app to the appropriate platform and ongoing updates and maintenance to keep the app functioning smoothly.
The cost of this phase will depend on the complexity of the app and the frequency of updates and maintenance required.
Top Use Cases of Artificial Intelligence in Various Industries
Artificial intelligence has the potential to transform a wide range of industries, enabling organizations to automate processes, improve efficiency, and make better decisions.
Understanding the use cases of AI can be important for budgeting an app development project because it can help you determine the resources and expertise needed to develop and implement the AI-powered features of the app.
Some of the top use cases of AI in various industries are:
AI in the Healthcare Industry
The healthcare sector is the first example of AI app development. AI technology is used in healthcare to improve patient care and outcomes.
For instance, AI-powered diagnosis and treatment planning systems can help doctors make more accurate diagnoses and recommend personalized treatment plans.
AI can also analyze medical records and identify patterns indicating a potential health issue, enabling early intervention.
AI in the Retail Industry
Another sector leveraging AI technology is the retail industry. Retail business owners integrate artificial intelligence features in their mobile apps for a better user experience and to boost sales.
For example, AI-powered chatbots can provide personalized customer recommendations based on their purchase history. Predictive analytics based on AI technology can help retailers forecast demand and optimize inventory.
AI in the Manufacturing Industry
The manufacturing industry is also developing AI-based mobile apps to improve efficiency and reduce costs.
For example, AI-powered predictive maintenance systems can help identify potential equipment failures before they occur, reducing downtime and maintenance costs. AI optimizes production processes and improves quality control.
AI in the Finance Industry
The finance industry is also upgrading and delivering a smooth user experience using AI technology. Integrating artificial intelligence with mobile app development improves risk management and fraud detection.
For instance, AI-powered systems can analyze financial transactions in real-time to identify unusual activity and prevent fraud. AI automates compliance and customer service tasks, freeing human employees to focus on more complex tasks.
AI in the Transportation Industry
Last but not least, the transportation industry enhances safety and efficiency.
For example, AI-powered autonomous vehicles can reduce the risk of human error and improve fuel efficiency. It can also be used to optimize transportation routes and improve the accuracy of delivery estimates.
How Can We Help You?
Artificial Intelligence is proliferating and is one of the popular technologies globally. As a result, businesses from various industries are investing in its development to reach the audience worldwide and accelerate their business growth. AppsChopper is a well-established AI app development company where app professionals are well-versed with the latest tools & technologies and turn the app idea into reality.
Conclusion
In a nutshell, the cost of developing an AI app depends on various factors, including model complexity, data availability and quality, app complexity, development team, platform, and ongoing maintenance and updates.
You can consider the factors mentioned above to understand the costs associated with developing an AI app and plan accordingly.
