The cloud technology market is booming. According to a Statista report, by the end of 2026, revenue in cloud computing can reach $1.11 trillion. This is expected since businesses want to scale up without heavy investments.
But it doesn’t stop there: by 2031, this number could hit $2.27 trillion, with an annual growth rate of 15.34%. It’s almost twice as much. The U.S. leads the market, as the highest revenue will be generated there.
What does this mean? More and more modern businesses rely on cloud software development. Startups or enterprises — almost all of them opt for cloud services to create new solutions, store data, and run AI workflows. Soon they’ll forget about times when they had to buy and support their own servers. But crashes and traffic spikes still happened.
Fortunately, today companies don’t depend on in-house hardware. Instead, they can design, build, test, and deploy software with cloud services. That’s why they can release products faster, cut infrastructure costs, and stay more responsive to clients' needs.
In this blog, we’ll dive deeper into cloud software development, explain how it works, and why it has become a fundamental technology for building modern applications.
What Is Cloud Computing in Software Development?
Cloud computing in software development is the use of on-demand computing resources — servers, storage, databases, and development tools, delivered online to build, test, deploy, and run software without the need for physical infrastructure.
A big plus of cloud services is that businesses don't need to buy and maintain expensive hardware. Instead, they can select hosted platforms — AWS, Microsoft Azure, or Google Cloud. So, their development teams can instantly request the technologies they need. This speeds up product release and saves money.
Today, cloud computing is the backbone of custom software development. And the reason is pretty simple: engineers don’t need new servers but can get digital assets in minutes.
How does cloud computing work?
Cloud providers have large data centers globally. They own thousands of servers, storage systems, and networking equipment that developers can use on demand.
When a team needs more computing power, storage, or databases, they can request them through a web dashboard or an API. The cloud provider takes care of the hardware, how it’s serviced and updated, and what security practices are adopted. So engineers are only busy with building software.
Cloud services are provided according to a pay-as-you-go pricing model. You pay only for the resources you use. And you don’t need to purchase expensive hardware as before. These digital transformation solutions reduce expenses and allow easy scaling.
These are the reasons why so many businesses are opting for cloud software development services. And the market situation is a clear example that the number is growing.
On-demand computing is now the standard way to build software. Gartner points out that global spending on public cloud services totaled $723.4 billion in 2025. Believe it or not, more than 90% of organizations use cloud services. And this proves that it is difficult to find a business that doesn't use cloud computing.
Types of Cloud Deployment Models
Your business needs, security criteria, and costs are points that affect how you deploy your applications to the cloud. Some companies use only one cloud environment. Others can combine several models to gain more benefit from cloud computing software development. Here are different cloud deployment models you can opt for.
Public cloud
Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are providers that own and manage public cloud services. What’s the peculiarity of this model?
You need to share the IT environment with other users. But you can be sure that your data and systems remain separate and secure. The advantage of this cloud computing for developers is that it is the fastest to get started with because there is no hardware to buy or support. You just pay for the resources you use.
Private cloud
A private cloud is built for a single business. The advantage: this model can run in your own data center or be hosted by a cloud provider.
By choosing a private cloud, you retain control over your IT landscape, security scope, and data. It suits companies operating in a regulated environment with data residency rules. Plus, private cloud is a good option for businesses with large workloads that run non-stop.
Hybrid cloud
A good choice is a hybrid cloud as it combines public and private cloud environments. For instance, companies keep sensitive apps and data in a private cloud. Plus, they can use the public cloud to handle heavy workloads that require extra computing power. So see, you become flexible while keeping your control.
73% of businesses choose a hybrid cloud strategy, according to Flexera's 2025 State of the Cloud Report. Enterprises choose this deployment model to avoid performance drops and traffic spikes.
Multicloud
A multicloud strategy is the use of two or more public cloud providers within the same cloud environment. For example, you can choose AWS, Microsoft Azure, and Google Cloud and take the best services from each cloud provider, since it’s rare for a single cloud provider to cover all your needs.
Businesses opt for this approach for the following reasons. First, they want to avoid vendor lock-in. Second, they can access unique capabilities from multiple vendors. Finally, they can better meet regional or regulatory requirements. The advantage of multicloud is that you can rely on many public cloud platforms, unlike a private cloud or hybrid cloud.
Cloud Service Models: IaaS, PaaS, SaaS, and FaaS
The most widespread models used for software development in the cloud are IaaS, PaaS, SaaS, and FaaS. What sets them apart? This is the degree of control over infrastructure. The more they govern, the less your team needs to serve. Let’s review their peculiarities.
Infrastructure as a Service (IaaS)
Infrastructure as a Service (IaaS) provides virtual servers, storage, networking, and other computing resources online. Amazon EC2 and Azure Virtual Machines offer this cloud model.
With this model of cloud computing in software development, you’re responsible for the operating system, apps, and data. The cloud provider takes care of the IT infrastructure — servers, storage, and networking hardware. This model gives development teams the highest level of control and flexibility. The cost in this model is calculated based on the amount of resources rented from data centers and the amount consumed during the billing period.
IaaS is a good choice for custom software, enterprise-grade applications, and workloads with specific infrastructure requirements.
Platform as a Service (PaaS)
To provide software development teams with everything they need to build and run applications, businesses choose Platform as a Service (PaaS). The infrastructure, operating system, runtime, and development tools — all of which you receive from the cloud vendor. AWS Elastic Beanstalk, Azure App Service, and Google App Engine are listed as the main providers of PaaS.
The cloud provider serves the platform resources. Your team commits to writing code and launching products. This speeds up engineering as teams don't have to manage servers.
Software as a Service (SaaS)
With Software as a Service (SaaS), you get production-ready solutions online. Hosting, updates, security, and maintenance are all covered. You sign in online or through an app and can use your software. You just need a subscription. But many vendors offer free and cheap plans with limited features.
Microsoft 365, Google Workspace, GitHub, and Jira are among the most used SaaS products. SaaS is so popular among users because they don’t need to set up or service anything.
Serverless and FaaS
Function as a Service (FaaS) or serverless computing is the space where developers can run code without caring about servers. The code runs automatically when something goes wrong — through an API request, a file upload, or a scheduled task.
In this model of cloud-based software development, the vendor owns infrastructure management, and the user pays only when the system works. AWS Lambda and Azure Functions are great platforms for APIs, automation, and software with unstable traffic.
Key Cloud Providers for Software Development
Which cloud platform to choose when you start your software project? In fact, the market is overcrowded with vendors. But AWS, Azure, and Google Cloud don’t lose their leadership position. They have global data centers and can guarantee stable infrastructure. And all of them offer multiple services for building, deploying, and managing applications.
Amazon Web Services (AWS)
AWS is the largest cloud provider in the global arena. From virtual servers and databases to AI, analytics, and serverless computing — these services are available to users. One of the main reasons why development teams opt for AWS is a rich service portfolio and global infrastructure.
AWS held 29% of the global cloud infrastructure market in late 2025, according to Synergy Research Group. Obviously, it’s the market leader thanks to their broad scope of services and strong enterprise adoption.
Microsoft Azure
Certainly, if you use Microsoft products — Windows Server, Microsoft 365, and .NET — Azure is a justified choice. It offers strong backing for hybrid cloud landscapes, enterprise apps, AI, and data services.
According to Flexera's 2026 State of the Cloud Report, 79% of organizations run some or significant workloads on Azure. This means that more and more enterprises are choosing this cloud solution for software development.
Google Cloud
Strengths in data analytics, ML, Kubernetes, and cloud-native development — this is Google Cloud. Companies that build high-traffic software or AI-based products opt for this vendor.
Synergy Research Group points out that Google Cloud comprised 13% of the global cloud infrastructure market in late 2025. But it doesn’t show signs of slowing down and keeps increasing its share.
And here we should answer one question: which is the best cloud platform for my business? Surely, the choice depends on your tech stack, compliance, goals, and the IT system your software team already relies on.
The Benefits of Cloud Computing in Software Development
These days, users are so accustomed to the benefits of cloud technologies that it is hard to imagine a modern world without them. It’s no wonder, considering the level of convenience they bring to everyday life. Here are the nine key benefits cloud computing brings to the table:
Cost efficiency
The biggest advantage of software development services in the cloud is its reduced cost in comparison to purchased hardware. Depending on the models, in some cases, there are even free tiers where basic services are provided for free, and the rest require monthly or annual subscriptions.
According to McKinsey, cloud computing can cut IT overhead costs from 30% to 40%, helping scale IT processes up and down and reducing development cycles.
Location-independent development
Cloud services are available worldwide. Basically, if a place has Internet access, then clients can use cloud technologies from there. This means that the development team can be distributed around the world. For example, in the case of a large project, one group of specialists may work from an office in London, and other groups may be located in San Francisco, New York, Oslo, and other global IT hubs.
Extended user reach
When an application is deployed in a cloud, it becomes available globally. Usually, cloud service providers take required measures to reduce the latency so that users of cloud-based apps have low response times regardless of their location. Additionally, cloud applications require only a web browser, and hardware specifications of user devices are of less importance because most computations are performed in the cloud and not on the client side.
Increased scalability
One of the most convenient features of cloud technologies is their ability to scale up or down. It means that developers may add extra resources when they are needed or remove unused resources to save costs. According to Gartner’s poll, cloud computing improves flexibility and scalability by up to 37%.
Additionally, cloud services usually support both horizontal and vertical scaling. For example, to handle a peak load event, they can allocate more RAM and CPU cores or more servers with a load balancer. Scaling may be performed manually or automatically based on a preset configuration.
Less maintenance
Depending on the model, hardware and software maintenance can be the duty of a cloud service provider. Though the cost of maintenance is included in the subscription price, it is cheaper than performing it on the premises. This way, cloud service users do not have to hire technicians for this task, buy parts for server repairs or upgrades, and so on, unless they have a private cloud.
Security and disaster recovery
Cloud service providers invest in data protection measures because they have their business reputation on the line. Due to distributed data storage and backup means, the chance of data loss is usually lower than in the case of storing information on the premises.
McKinsey points out that cloud-based operating models can improve your system’s resilience and security by more than 30%.
Productivity & collaboration
Cloud computing software development offers the space for many people to work on the same project at the same time. And of course, this is vital for development teams. Besides, cloud technologies include many systems to optimize the management of tasks, projects, departments, and enterprises.
Faster time to market
Cloud platforms help businesses compress time-to-market, moving their ideas to launch faster. They don’t need to wait days or weeks to buy, deliver, and configure hardware. Cloud services allow them to create development and testing environments in minutes. So engineers can start building ASAP, test new features swiftly, and update software more often. As a result, businesses are more responsive to customer needs and market conditions.
DevOps and CI/CD enablement
Modern cloud platforms are designed for cloud-based software development. They support DevOps, continuous integration and continuous delivery (CI/CD), infrastructure as code, and automated testing. Teams don’t need to build, test, and deploy manually. Cloud tools can automate all of this plus infrastructure setup and QA and software testing. All this leads to minimizing manual efforts, reducing errors, and releasing new features more quickly.
Challenges and Risks of Cloud Computing in Software Engineering
Cloud computing is full of advantages, as well as challenges. Of course, it’s possible to manage these hurdles with the right architecture, security practices, and planning. But at first, you should understand them, as this is the best way to avoid costly mistakes and get the most value from cloud services.
Security and compliance
As you share responsibilities with the cloud provider, the same is true with security. The vendor has to protect the infrastructure, while you’re responsible for safeguarding apps, user access, and data.
Many security breaches occur because cloud resources are misconfigured. Businesses that work with sensitive data should stay GDPR or HIPAA compliant when storing and processing information in the cloud.
Cloud cost overruns and waste
Cloud services are flexible. But if resources are not managed properly, this adds up to your budget. Unused virtual machines, oversized databases, and data transfer fees make cloud services expensive. With business technology consulting, it’s possible to better plan your budget and avoid hidden costs.
According to Flexera's 2025 State of the Cloud Report, organizations share that 27% of their cloud spending is wasted. Many companies use FinOps practices to avoid this and keep cloud costs under control.
Vendor lock-In
Cloud providers offer many managed services, so they help speed up and simplify building. But relying too heavily on provider-specific tools can create issues in the future when you decide to change a platform.
It’s possible to reduce this risk – just use containers, open standards, and a cloud architecture that supports multiple providers when needed.
Cloud skills shortage
As cloud technologies keep growing, they create strong demand for specialists in cloud architecture, security, DevOps, and FinOps. Many organizations face the dilemma of finding skilled professionals with these skills or deciding between in-house vs outsourcing software development.
Working with an experienced technology partner or investing in IT consulting services can help businesses close this gap and release successful cloud projects.
Legacy integration and migration complexity
Many obsolete business systems were not built to run in the cloud. Connecting them with modern cloud applications can be difficult. Plus, this can involve extra integration work.
Instead of migrating everything at once, many organizations do this literally through a phased approach. They use APIs, middleware, or integration platforms to connect legacy systems while gradually upgrading their apps and infrastructure with enterprise software development.
Best Practices for Cloud-Based Software Development
Developing software in the cloud is more than selecting hosting services — AWS, Azure, or Google Cloud. How apps are designed, launched, and managed matters most. This affects how solutions perform and scale, as well as the level of security they provide and the investment they require.
Choose the right service and deployment model
It’s a myth that a single cloud model can work for every software. Businesses should rely on their goals, security requirements, and the type of app they're building while picking the deployment model.
To scale quickly, they choose a public cloud. Private cloud is often chosen by organizations that operate in regulated environments. Many businesses use a hybrid or multi-cloud approach because they can get more benefits from a mix of models.
Design applications for the cloud
Applications built for the cloud differ from traditional software. Instead of creating one complex application, engineers often break it into smaller services. This lets them update and scale these components separately.
Teams also use containers, managed databases, and serverless services to cut the amount of infrastructure they have to govern. As a result, applications are more flexible, easier to upkeep, and more resilient as they scale.
Automate software delivery
Manual releases are error-prone and time-consuming. That’s the reason why development teams automate as much of the delivery process as possible.
With CI/CD pipelines, they can build, test, and deploy every code change automatically. Infrastructure as code uses configuration files to create cloud resources instead of setting everything up by hand. Together, these practices make the software development process more consistent and faster.
Build security from the start
Security works best when it’s included in the development process from the beginning. Development teams give users and apps only the access they need. They encrypt sensitive data to protect it from fraud and cheating. Plus, they continuously monitor cloud environments for suspicious actions.
Many businesses also follow a zero trust approach. They verify every user and every request before granting access. This minimizes security risks and helps stay more compliant.
Monitor performance and control costs
Cloud applications should be monitored non-stop after they are launched. Teams track how a system performs and uses resources to identify issues before they affect users.
They also review cloud costs regularly to remove unused resources, using autoscaling, and shut down idle environments. All this helps avoid irrelevant spending. Plus, over time, these improvements will be more obvious in terms of cost optimization.
Future Trends: Cloud Computing for Developers
Cloud computing keeps growing. From a way to rent infrastructure to the backbone for AI, cloud-native applications, and modern software delivery — this is the evolution cloud computing has made. The biggest challenge for developers is the emergence of new ways to build, deploy, and secure solutions. So let’s see what awaits them in the future.
AI becomes part of the cloud stack
For years, the cloud gave developers infrastructure on demand. It’s high time to provide intelligence on request, like AI as a Service (AIaaS).
Teams don’t need to train models; they can adopt AI through managed services and APIs. They use AI solutions for chat, search, code generation, document processing, and workflow automation. And the scope of these services doesn’t require building infrastructure.
Gartner sees AI-enabled cloud services as one of the top trends shaping the cloud market in 2025.
Serverless keeps removing infrastructure from the equation
Cloud computing has steadily reduced the amount of infrastructure developers manage. Serverless continues that trend.
With FaaS platforms, developers deploy code. Scaling, patching, and capacity planning belong to a vendor’s duties. That lets teams spend more time building features and less time operating infrastructure.
Serverless won't replace every workload. Complex, long-running systems may still work better with containers or virtual machines. But for APIs, automation, and event-driven applications, serverless is a great choice for many cloud-native teams.
Sustainability becomes an engineering decision
Sustainability is no longer just a business objective but a must-have part of how you design and run cloud applications.
The emergence of new, more energy-efficient data centers, the use of renewable energy, and the adoption of tools to measure environmental impact — all these things are trendy. And you can’t escape them if you need a cloud-based solution. Plus, development teams strive to use cloud resources more efficiently.
Obviously, performance, cost, and sustainability belong to the same business decision. No surprise, sustainability is expected to remain one of the key factors affecting cloud strategy in the coming years, according to Gartner.
Zero trust replaces the trusted network
Traditional security assumed that users and applications inside the network could be trusted. Modern cloud environments make that assumption difficult to defend.
Today's apps run across different cloud platforms and connect many users and systems. Zero trust checks every request before allowing access, no matter where it comes from. This helps protect applications as they become more distributed.
For cloud computing for developers, this means security increasingly begins during application design instead of after deployment. As cloud adoption grows, zero trust is becoming the baseline rather than an advanced security strategy.
How Intellectsoft Delivers Cloud Software Development Services
Cloud migration is only a single aspect of your hosting services journey. One of the major challenges you face is building a cloud solution that is reliable and scalable. Of course, for this, you need a qualified team to guide you through it.
With 18+ years of engineering expertise and 600+ solutions, Intellectsoft helps businesses design, build, migrate, and optimize cloud-based solutions. We have 35 Fortune 1000 clients, and some of them still team up with us. With our cloud software development services, we match tech choices with business needs.
Our teams work across AWS and Microsoft Azure and can adopt the services and architecture that best fit your project. The goal here is to create a solution that addresses your pain points and enables your system to scale with your company.
Contact Intellectsoft to schedule the first consultation and start your cloud-based project.
FAQ
What is cloud computing in software development?
Cloud computing in software development is the on-demand use of hosted services for building, testing, deploying, and managing software. With cloud platforms, engineers can access servers, storage, databases, and other tools online on request. So they can develop solutions, scale them faster without a hitch, and reduce infrastructure costs.
What is the difference between IaaS, PaaS, and SaaS?
The distinction between IaaS, PaaS, and SaaS: the level of responsibility for technologies, which you share with a cloud provider.
IaaS: You rent infrastructure — servers, storage, and networking from a cloud service provider. Plus, it’s your duty to set up and govern the operating system, applications, and your data.
PaaS: The vendor also manages the operating system and development platform. So your team doesn’t need to maintain infrastructure and can focus on building software.
SaaS: The cloud provider is in charge of everything. You sign in and use the software through a web browser or mobile app.
How much does cloud computing cost for a software project?
As a rule, cloud computing development is based on a pay-as-you-go pricing model. You should pay only for the resources your software uses. Compute resources, storage, and data egress are the primary aspects that affect cloud computing cost. But managed services such as databases and AI tools may add to your budget. Of course, you can control your spending in the following ways – getting rid of unused infrastructure, monitoring the use of resources, picking the right pricing model, and autoscaling.
Which cloud provider is best for software development?
It’s impossible to define the best cloud provider for every software project as all of them offer unique advantages.
Amazon Web Services (AWS) offers a wide scope of services. Microsoft Azure syncs well with Microsoft technologies and enterprise-grade systems. Google Cloud Platform (GCP) does a good job at data analytics, AI, and Kubernetes.
You can make your final choice considering such aspects — tech stack, compliance, performance needs, and current IT landscape. Plus, our cloud computing and software development services will be helpful in this case if you’re still uncertain.
Is the cloud secure enough for enterprise software?
Yes, cloud platforms are secure and reliable for complex systems. The main thing: you have to configure and manage them accordingly. Top cloud providers have a firm focus on security and hold SOC 2 and ISO 27001 certifications. But security is built around a shared responsibility model. The provider is responsible for the cloud infrastructure. And you are in charge of protecting your apps and data.
