How to Create Virtual Assistant App: Technological guide 2023

She is intelligent. She has a sweet voice. And she is always ready to help you: play your favorite music, read the news, control your electronic devices, and carry out other tasks for you.
So who is she? Your wife? Nope! She’s your virtual assistant.
A virtual assistant app is a software application that uses artificial intelligence and voice recognition to help users manage their daily tasks, schedule appointments, and perform other routine activities. The idea behind these apps is to make life easier and more organized by automating repetitive tasks and freeing up time for other important tasks.
Virtual assistants like Siri, Cortana, Alexa, and Google Assistant are all big players in the market and have become an important part of people’s life.
According to recent statistics, the global virtual assistant market is expected to reach $11.8 billion by 2023. According to Statista, the number of voice assistant users is forecast to increase to 130.1 million users in 2025. So it comes as no surprise that businesses are investing in voice assistant application development to improve customer experience. This rapid growth is driven by the increasing demand for personalized, hands-free assistance and the desire for more efficient and convenient task management.
The question is how to create virtual assistant apps like Siri and Google, how much it will cost, and what features you should consider.
In this article, we'll take a deep dive into the world of virtual assistant apps and provide a step-by-step guide on how to create one. Ready?
Why Create Virtual Assistant: Statistics & Benefits
Virtual assistants have become increasingly popular in recent years due to the many benefits they offer businesses and individuals. A virtual assistant is a software program or human assistant who can perform a variety of tasks, such as scheduling appointments, answering emails, and managing social media accounts. In this part, we will explore some of the statistics and benefits of using a virtual assistant.
Statistics:
- According to a recent survey, 67% of businesses reported increased productivity after implementing a virtual assistant.
- Another survey found that businesses who use virtual assistants save an average of 7 hours per week, which equates to a 28% increase in productivity.
- In 2021, the virtual assistant industry was estimated to be worth $15.7 billion, and it is expected to continue to grow in the coming years.
- The use of virtual assistants is especially prevalent in small businesses, with 60% of small business owners reporting that they use virtual assistants on a regular basis.
Benefits:
- Increased Productivity: One of the biggest benefits of using a virtual assistant is increased productivity. Virtual assistants can handle routine tasks, freeing up time for more important work.
- Cost savings: Hiring a virtual assistant is often more cost-effective than hiring a full-time employee. Virtual assistants can be hired on a part-time basis, and there are no benefits or overhead costs to worry about.
- Customer service improvement: Thanks to virtual assistant tools such as chatbots, customers don’t have to wait for the next available operator to get assistance. Chatbots can handle the queries of thousands of customers instantly and improve the average response time.
- Improved Work-Life Balance: Virtual assistants can help individuals and businesses achieve a better work-life balance. By delegating tasks to a virtual assistant, individuals and businesses can focus on the most important tasks and spend more time on leisure activities.
- Scalability: Virtual assistants can be scaled up or down as needed, making them ideal for businesses that experience fluctuations in workload.
- Access to Expertise: Many virtual assistants have specialized skills and expertise, such as marketing or project management. By hiring a virtual assistant, businesses can access this expertise without having to invest in additional training or hiring full-time employees.
Virtual assistants offer a wide range of benefits, from increased productivity to cost savings to access to expertise. Whether you're a small business owner or an individual looking to streamline your workload, a virtual assistant can help you achieve your goals.
How To Create a Virtual Assistant App?
Creating a virtual assistant app can be a challenging but rewarding project. An important part for it is conducting market research. It is a crucial step in the process of creating a virtual assistant app. Market research will help you understand the needs of your target audience, identify gaps in the market, and validate your app idea.
Here are the steps to create a virtual assistant app:
Step 1: Define Your Target Audience
Define your target audience by creating a profile of the users who will benefit from your virtual assistant app. Consider factors such as age, income, location, occupation, and tech savvy. This information will help you understand your target audience's needs and preferences.
Step 2: Analyze Competitors
Examine existing virtual assistant apps and analyze their features, pricing, and target audience. Study the market trends and identify areas where you can differentiate your app and add value.
Step 3: Gather Customer Feedback
Gather feedback from potential users to understand their needs and pain points. Consider conducting surveys, focus groups, and one-on-one interviews to gather feedback.
Step 4: Analyze Industry Trends
Stay up-to-date on industry trends by attending trade shows and conferences, reading industry publications, and following relevant blogs and forums. This information will help you understand the direction the industry is headed and identify new opportunities.
Step 5: Validate Your App Idea
Once you have gathered all the necessary information, validate your app idea by testing it with a small group of potential users. This will help you gauge interest and refine your app idea based on feedback.
Step 6: Find a Development company
Finding developers for creating a virtual assistant app can be a complex process, but there are several options that you can explore to build your development team.
- In-house developers: Hiring in-house developers is a good option if you have the resources to set up a dedicated development team. This gives you more control over the project and enables you to have direct communication with the developers. However, finding and hiring experienced developers can be challenging, and you'll need to provide them with the necessary tools, infrastructure, and support to work effectively.
- Freelancers: Working with freelancers can be a cost-effective option, as they typically charge less than a development company or an in-house team. You can find freelancers through online marketplaces like Upwork or Freelancer, or through professional networks like LinkedIn. It's important to thoroughly vet any freelancers you consider working with, including checking their references and portfolio, to ensure they have the skills and experience necessary to meet your needs.
- Development company: Hiring a development company is a good option if you're looking for a more hands-off approach to development. The company will handle all aspects of the project, from finding and managing the development team to providing support and maintenance. However, working with a development company is typically more expensive than working with freelancers, and it can be challenging to find a company with the right expertise and experience for your specific needs.
Step 7: Decide on Basic Features
A virtual assistant app can have a wide range of features depending on the specific use case and target audience, but some key features and challenges that should be considered for implementation include:
- Voice recognition: A virtual assistant app should have the ability to recognize voice commands and respond to user requests using voice input.
- Natural language processing (NLP): NLP is a critical feature that enables the virtual assistant to understand and respond to user requests in a more human-like way.
- Task automation: The virtual assistant should be able to automate tasks such as setting reminders, scheduling appointments, and managing to-do lists.
- Personalization: The virtual assistant should be able to learn the user's preferences and habits, and use this information to provide more relevant and helpful responses.
- Integration with other services: The virtual assistant should be able to integrate with other services such as calendars, email, and messaging apps to provide a more comprehensive and seamless experience for the user.
- Contextual awareness: The virtual assistant should be able to understand and use contextual information, such as the time of day and user location, to provide more relevant and helpful responses.
- Machine learning: The virtual assistant should use machine learning algorithms to continually improve its performance and provide more accurate and helpful responses over time.
- User Experience (UX): Creating a virtual assistant app that provides a seamless user experience is a major challenge. This requires designing a conversational interface that is easy to use, intuitive, and provides quick and accurate responses to user requests.
- Security: The virtual assistant should have robust security measures in place to protect the privacy and security of user data.
- Scalability: The virtual assistant should be designed with scalability in mind, so that it can handle increasing numbers of users and tasks as the app grows.
Virtual assistant app development is a complex process with many challenges to overcome. From creating a natural language interface to ensuring data privacy and security, virtual assistant app developers must overcome a range of technical and design challenges to create a successful virtual assistant app.
Step 8: Choose a Technology Stack

Let's know which programming language is best for a virtual assistant. The technology stack for creating a virtual assistant app typically includes the following components:
- Natural Language Processing (NLP) and Machine Learning (ML) Libraries: To create a conversational interface, virtual assistant apps require advanced natural language processing (NLP) and machine learning (ML) technology. Popular NLP libraries include NLTK, Spacy, and Stanford NLP. Popular machine learning libraries include TensorFlow, PyTorch, and Scikit-learn.
- Backend Technologies: Virtual assistant apps require a robust backend to handle the data processing and storage required for the app to function. Popular backend technologies include Node.js, Ruby on Rails, and Django.
- Database Management Systems: Virtual assistant apps require a database management system to store user data and app information. Popular database management systems include MongoDB, PostgreSQL, and MySQL.
- API Integration: Virtual assistant apps often require integration with third-party APIs to access data from other services, such as email providers, calendars, and voice assistants.
- Frontend Technologies: The frontend of a virtual assistant app is the user interface, and it requires development using a combination of HTML, CSS, and JavaScript. Popular frontend technologies include React and Angular.
- Cloud Computing Platforms: Virtual assistant apps require a scalable infrastructure to handle a growing user base. Cloud computing platforms such as Amazon Web Services (AWS) and Google Cloud provide the necessary infrastructure for virtual assistant app development.
Virtual assistant app development requires a combination of advanced natural language processing and machine learning libraries, backend technologies, database management systems, API integration, frontend technologies, and cloud computing platforms. Choosing the right technology stack for your virtual assistant app will depend on the specific requirements of your app and the skills of your development team.
How Much Does It Cost to Develop a Virtual Assistant App?

As a rough estimate, the cost of developing a basic virtual assistant app for a single platform (such as iOS or Android) could range from $50,000 to $100,000 or more, while a more complex app with multiple features and capabilities could cost upwards of $500,000 or more.
It's also worth noting that development costs are just one part of the overall cost of creating and maintaining a virtual assistant app. Ongoing costs such as hosting and infrastructure, maintenance and support, and marketing and advertising will also need to be considered.
Based on our years of experience, we can say that virtual assistant apps is determined by a combination of factors, including:
- Development costs: This includes the costs of designing and building the app, including hiring developers, designers, and any other necessary personnel.
- Hosting and infrastructure costs: The app needs to be hosted on servers and the necessary infrastructure must be set up to ensure reliable performance.
- Maintenance and support costs: Virtual assistant apps need to be updated regularly to fix bugs and add new features, and there will also be a need for customer support to handle user questions and issues.
- Licensing costs: Depending on the app, there may be costs associated with licensing technology, such as natural language processing or speech recognition, from third-party providers.
- Marketing and advertising costs: To generate revenue, the app needs to be marketed and advertised to potential users.
Ultimately, the cost of developing a virtual assistant app will depend on a variety of factors and will vary from project to project. It's best to consult with a professional app development company for a more accurate estimate based on your specific requirements.
How to Create Virtual Assistant App: Sum Up
In this article, we’ve shared some insight into building an application development team.
Here are a few key takeaways from the article how to creating a virtual assistant app:
- Determine the purpose of the app and its specific features.
- Choose a platform to develop the app on, such as iOS or Android.
- Determine the target audience for the app.
- Choose the technologies to be used for the app, such as natural language processing and machine learning algorithms.
- Create a wireframe for the app’s design and functionality.
- Develop the app, including coding and testing.
- Test the app and make any necessary revisions.
- Launch the app in the app store.
- Continuously improve and update the app.
FAQ
A virtual assistant app is a software program designed to help users with various tasks by utilizing natural language processing and artificial intelligence technologies. These apps can perform a variety of tasks, such as setting reminders, booking appointments, answering questions, making recommendations, and more. The user interacts with the virtual assistant through a conversational interface, typically via voice or text. Some virtual assistant apps are integrated into other products and platforms, such as smartphones, smart speakers, and personal computers, while others can be accessed through standalone apps. Examples of popular virtual assistant apps include Apple's Siri, Amazon's Alexa, Google Assistant, and Microsoft's Cortana.
Creating a virtual assistant app can be a complex process, but here are the general steps you can follow:
- Define your goals and target audience
- Research and study the market
- Choose the right platform and tools
- Design and build your app
- Test and refine your app
- Launch and market your app
The cost of developing a virtual assistant app can vary widely depending on a number of factors, including the scope of the project, the complexity of the features and functions, the platform you're developing for, and the development team you're working with.
Here are some rough estimates for the development cost of a virtual assistant app:
- Small projects with limited features and functionality: $10,000 to $50,000
- Mid-sized projects with more complex features: $50,000 to $150,000
- Large-scale projects with a full suite of features and capabilities: $150,000 to $500,000 or more
Keep in mind that these are rough estimates, and the actual cost of developing a virtual assistant app can be much higher or lower depending on the specific requirements of your project. It's important to have a clear understanding of your budget and the features and functionality you want in your virtual assistant app before you start the development process. This will help you make informed decisions about the development team and resources you need to bring your app to life.
The time it takes to create a virtual assistant app can vary widely depending on a number of factors, including the scope of the project, the complexity of the features and functions, and the size of the development team.
Here are some rough estimates for the development timeline of a virtual assistant app:
- Small projects with limited features and functionality: 4 to 8 weeks
- Mid-sized projects with more complex features: 8 to 16 weeks
- Large-scale projects with a full suite of features and capabilities: 16 weeks or more
Again, these are rough estimates, and the actual timeline for developing a virtual assistant app can be much shorter or longer depending on the specific requirements of your project.
It's important to have a clear understanding of the timeline for your virtual assistant app development project before you start. This will help you manage expectations and ensure that you have enough time to test and refine your app before launch. Additionally, it's a good idea to build in some additional time for unexpected delays or changes to the scope of the project.
Virtual assistants have been evolving rapidly in recent years, and there are several key trends shaping the future of this technology:
Increased integration with other technologies: Virtual assistants are becoming increasingly integrated with other technologies such as smart home devices, wearables, and automotive systems, making them more accessible and useful in a wider range of situations.
Improved natural language processing: Advances in natural language processing (NLP) are allowing virtual assistants to understand and respond to a wider range of commands and questions, making them more accurate and effective.
- Increased use of conversational interfaces: Virtual assistants are increasingly being designed with conversational interfaces, making them easier and more intuitive to use.
- Expansion into new markets: Virtual assistants are expanding into new markets such as healthcare, education, and enterprise, offering new opportunities for growth and innovation.
- Greater emphasis on privacy and security: As virtual assistants collect more personal data, there is a growing emphasis on privacy and security, with many companies investing in measures to protect user data and ensure secure transactions.
- Advancements in voice recognition: Advancements in voice recognition technology are allowing virtual assistants to better understand and respond to a wider range of voices and accents, making them more accessible to users globally.
- Increased use of machine learning and artificial intelligence: Virtual assistants are relying more and more on machine learning and artificial intelligence to provide better and more personalized responses and recommendations, making them even more effective and useful.
These trends are likely to continue shaping the virtual assistant market in the years to come, and it will be interesting to see how virtual assistants continue to evolve and expand their capabilities.