The Impact of Coding Skills on Success in EdTech Startups
General
10
Minutes
Dec 11, 2025
Educational technology, or EdTech, has become a rapidly growing sector, propelled by the digital transition in teaching and learning brought about by the demands of the 21st-century learner and heightened by the recent global pandemic. EdTech startups are at the frontier of introducing digital solutions in education, providing online learning platforms, tutorial software, and machine learning applications that transform and enhance the teaching and learning processes. Success in these startups, however, is not entirely tied to business acumen, marketing strategies, and customer engagement; of increasing significance is the role of coding skills in the growth and scalability of EdTech platforms.
Understanding the Impact of Coding Skills
To comprehend the role of coding in EdTech startups, we must understand that these organizations are primarily technology-based. In other words, their core products or services are digital and built through coding. This simply means that coding skills aren't just important but central to the development and growth of these companies. Coding is what facilitates the creation of products which meet the diverse needs of learners in the educational landscape. It's the key to turning innovative ideas into functional, effective EdTech solutions.
Coding and Product Development
The effectiveness of an EdTech product is based on its user-friendliness, adaptability, and responsiveness. Each of these aspects is affected by the quality of code that goes into the product. Good coding results in applications and platforms that are efficient, robust, and attractive to users. This is very crucial for startups, as first impressions can either make or break a new product in the competitive market.
Coding and Scalability
Coding skills also influence the aspect of scalability in EdTech. As a startup grows, so does its user base, necessitating the need for software solutions that can handle increased traffic and user activities. A well-coded platform ensures efficient scalability and optimal performance, even with a significant increase in user numbers.
Team Building and Coding Skills
For startups, building a team equipped with the right coding skills is essential. The development and maintenance of a product are entirely dependent on the programmers behind it. Having a skilled team in place ensures timely completed updates, the efficient debugging of programs, and innovative solutions to meet evolving market needs. The team's proficiency in navigating the changing technology landscape also plays a crucial role in keeping the startup ahead of the competition.
Coding as a Communication Tool
Coding is also a language and therefore a medium of communication. Effective communication is crucial for the smooth running of any startup. In a tech environment, where technical jargon may seem like a foreign language to non-tech personnel, understanding code introduces a bridge between teams. This fosters mutual understanding and seamless cooperation, leading to productivity and overall success.
In conclusion, the impact of coding skills on the success of EdTech startups is far-reaching. From the product development stage right through to scalability, team building, and communication, coding is an indispensable skill. It provides the tool to bring innovative ideas to life, making them accessible, adaptable, and efficient for the end-user. As EdTech continues to grow in importance, so will the need for competent coders in this sector. Hence, coding skills may well be the most influential factor dictating success in EdTech startups.
For custom software development, visit us at Zee Palm
Lines make apps on the edge of tech work quick, not fail, and easy to grow big. They stop slow waits, take on big jobs, and keep all data safe - even if things break. Here’s how they help:
Quick Results: Lines let apps do tasks not seen, making waits short for people.
Easy Growth: Lines let each part of the app grow alone, without too much load.
More Trust: Info stays in lines until used, making sure no data is gone.
Easy Issue Fix: If tasks fail, they go to a back-up line for more tries or fixes.
Fast Look:
No QueuesWith QueuesJobs need each otherJobs work aloneSystem stops if one breaksSystem still runsNot easy to make bigSimple to make bigChance of losing dataData is kept safe
Lines are key for making quick, strong, and sure apps without servers at the edge. By breaking up jobs, handling tasks, and keeping errors in check, they boost how well things work and cut down on costs.
Build High Performance Queue Processors with Rust & AWS Lambda
Why Use Queues in Serverless Edge Apps?
Putting queue systems in serverless edge apps helps solve common problems and makes them work better in many ways.
Better Scaling and Load Handling
Queues let different parts of your app work alone at their own pace. When lots of people use the app at once, the queues let the app handle all the requests without getting swamped. This keeps the app from getting too busy all at once. Queues also let you scale up just the parts that are busy. For example, AWS Lambda can deal with up to 1,000 sets of data every second with SQS standard queues when there's a lot to do.
Queues also save money, especially when the app doesn’t have steady or often traffic or when it has tasks that can be done in parallel. By keeping services apart, queues stop any single point from slowing everything down. This helps keep things running smoothly even when it's busy.
Less Waiting with Background Work
Using queues to process things later makes the app respond faster. Instead of making users wait for every step to finish, your app can do some work in the background. This is extra good at the edge, where queues help cut down the wait time and the amount of data used.
Grouping similar jobs cuts down on the number of times the app needs to work, and setting it up right can make it handle more data faster. By keeping the asking and answering parts separate, doing things later doesn’t just make the app faster, but it also makes it nicer for people to use.
More Reliable with Message Keeping
Queues make apps more reliable by keeping messages that haven’t been handled yet safe until they can be. This means if there's a problem, the app can try again. Dead-letter queues make it even better by setting aside messages that fail a lot so they can be checked out. For example, if a payment doesn't go through, it can be tried again before the message goes to a dead-letter queue.
Cloud services also help make things more reliable by promising to be up 99.9% of the time. Keeping data safe adds to how trustworthy serverless edge apps are.
Old WayNew Queue WayYou must scale by handIt scales on its own as neededScale all at onceScale one part at a timeYou might lose messages if it failsMessages stay safe until doneServices are closely boundServices are not tied tight and can handle faults
Setting Up Queue Systems with Major Edge Platforms
Here is a step-by-step way to set up lines on big edge tech.
Linking AWS SQS with Lambda@Edge lets you deal with notes close to your users, making things fast. Lambda@Edge runs your directions where your viewers are, making it quick. Usually, Lambda@Edge sends info from outside to an inside SQS line. This split helps spread systems well when they grow.
If you use many areas, mix SNS with SQS. Make similar SNS talks in all AWS areas, join your SQS line, and start the SNS tool in that area. This makes talking over far areas fast.
Since SQS makes sure you get at least one copy, make sure your steps can handle more than one same note. Also, set the SQS unseen time to six times your run time to stop the same work more than once. Lambda@Edge uses Node.js and Python and can go from a few asks a day to many in a bit.
Now, let's see how Cloudflare works with lines and Workers.
Cloudflare Queues join with Cloudflare Workers, letting Workers send and get jobs. To set up a getter, use a queue() role in your Worker's main show. Each line can only have one active getter, holding notes until done.
You could split a Worker to do two jobs to help with mistakes and to grow.
In your wrangler.toml book, change things like max_batch_size and max_batch_timeout. To end jobs right, use the waitUntil() way in your line role. For better mistake checks, use single okays in a group. This stops redoing notes that are done right.
Azure Functions can start steps when new notes show up in Azure Queue Storage, shifting how it works as the line acts. Both the Consumption and Premium plans change tools as needed.
For chatting between jobs, storage lines are easy and cheap. To keep things sure, make your jobs with no set way and able to do the same step right.
Here is how you might set Azure Functions with line storage:
SettingDefaultDescriptionbatchSize16How many messages are handled at the same timemaxDequeueCount5How many tries a message gets before it goes to the bad message queuevisibilityTimeout00:00:00Wait time before trying again after a failmaxPollingInterval00:01:00Longest wait time to check for new messages
If a message does not get through, Azure Functions will try up to five times before putting it in a bad queue called <originalqueuename>-poison. To make things run faster, split big functions into smaller parts, use different storage accounts, and up the number of worker processes with FUNCTIONS_WORKER_PROCESS_COUNT. Change settings in host.json to tune it well. Also, the Premium plan takes away the delay when starting, which is a great help for edge apps.
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Better Work and Trust in Queue Systems
Making queue systems work better can boost both how well they work and how trusty they are. By making better batch jobs, using memory well, trying again in smart ways, and keeping an eye on things, you can up both the speed and the strength.
Batch Jobs and Using Memory
Handling many messages in one go cuts extra steps, lowers costs, and uses things better. The main thing is to get your batch size just right. For instance, with AWS Lambda and tools like SQS or Kinesis, you can set the batch size and batch time (up to 5 minutes) to get the most done. Small batches might be quick, but big ones can save money if there's no rush.
Using memory right is key in AWS Lambda too. More memory means more CPU power and faster work. AWS lets you pick from 128 MB to 10,240 MB of memory. Start small and bump it up as you watch how it does, how much it uses, and what it costs. Tools like AWS Lambda Power Tuning help make this easy, and AWS CloudWatch shows key numbers to help you tweak things.
SettingImpactBest PracticeBatch SizeBig batches cut costs but can slow things downBegin with a fair size and tweak it as you go, based on results.Memory AllocationMore memory means faster work but costs moreUse tools to get the right mix of memory for your tasks.Timeout SettingsToo short can fail; too long eats up moreKeep an eye on times and change as needed to keep things running smooth.
After you make processing better, work on making the system stronger with good retry plans.
Retry Plans and Dead Letter Queues
Dead Letter Queues (DLQs) are key for keeping messages that do not work after many tries. They are like a safety net for short-term problems like network stops or limits. Set retry steps at many levels - in your code and with DLQs - not just at high levels. Using bigger time gaps with jitter stops too much load during retries.
Being able to handle the same thing more than once is key for spread out systems, as they can't make sure things are sent just once. Make sure your code can deal with the same message more than once well.
A real use is seen in an AWS car rent app, where DLQs were made for main parts like SNS subs, SQS lines, and Lambda roles. Failed messages for Rental-Fulfillment and Rental-Billing went to certain DLQs to stop data loss. CloudWatch alarms kept an eye on these DLQs, and redrive rules put failed events back through, making things more reliable.
These plans keep message safety, which is key for great work.
Watching and Seeing More for Queues
After making retry plans and DLQs, keeping an eye on things all the time is key. Good watching spots issues before they mess up users, while seeing more gives deeper looks through logs, numbers, and tracks. Watch numbers like line length, how long things take, error counts, and how long functions run. Tools like live dashboards and color warnings help spot odd things fast.
"Advanced techniques like distributed tracing, centralized logging, custom metrics, and real-time dashboards allow you to optimize performance, troubleshoot issues quickly, and enhance security in your serverless architecture." – Sergey Dudal
Think about using smart or learning-set limits for alerts, putting weight on notes based on how they hit the main work more than on small changes. Tying logs, numbers, and tracks can make fixing issues easy. For case, a CloudWatch alert could start fixes, like turning off an event link until a later service is better.
At Zee Palm, our big team of ten experts has used these smart ways in work for care health, tech-ed, and IoT. With over a hundred done jobs, we have seen with our own eyes how right line set-up not only makes things run better but also cuts down on the cost to run. By looking after these main needs early, you can keep both time and tools over time.
End: Best Use of Serverless Edge and Queues
Queue setups are big in making serverless edge work well and wide. They drop downtime by 30% and slash how long it takes to reply by up to 60%.
By holding back traffic, breaking up services to scale on their own, and putting in error checks, queues add more trust to systems.
"Message queues can significantly simplify coding of decoupled applications, while improving performance, reliability and scalability." - AWS
To get these good things, we need a smart plan to start. Begin by splitting big apps into smaller parts, called microservices, and use message lines to hold it all up. Add things like group tasks, memory use fixes, and clever redo steps to get even better results.
Where you put your stuff on the map matters a lot when making lines work faster. Since waiting time goes up by about 100 milliseconds for every 100 miles a message goes, you can speed up times by 30-50% on average just by placing systems closer to users and using CDNs.
Good line control helps speed things up and cuts costs. With almost 40% of businesses around the world now using serverless tech, doing well at line-based setups can give groups an edge over others. You pay only for what you use, so doing lines right means good cost savings.
At Zee Palm, our team of more than 10 skilled developers have put these methods to use in fields like health, education tech, and IoT. With over 100 apps made, we've seen that investing in line designs early helps us see fast speed boosts and saves money in the long run.
FAQs
How do lines help serverless edge apps work better and be more trusty?
Lines are key to boosting how well and how tough serverless edge apps are. They let parts talk without waiting and keep app parts split, letting each part work on its own. This split cuts down on hold-ups and makes using resources better.
With lines, tasks get done as soon as there is space, which is great when a lot of users come at once. This way stops the system from getting too full and keeps the app quick, even with odd and heavy loads. Also, splitting up parts makes it simpler to grow, matching more needs without losing speed.
Lines make it so these apps can grow, answer fast, and stay tough - important stuff for facing real troubles.
Why do queues help serverless edge apps work better and cost less?
Queues change the game for serverless edge apps when it comes to doing better and saving money. By splitting up parts of the app, queues let parts grow on their own, giving each bit a smooth run. When lots of users come in at once, more units can take messages from the queue to keep any single part from getting too much to handle. This keeps things moving fast and makes full use of what is there to use.
From the money side, queues are a wise pick. In serverless models, you pay just for the time you use for computing. By turning on resources only when needed, queues keep you from wasting time and money. They also keep messages safe until they are ready to be used. This cuts down on the chance of losing data and makes sure your app stays up and running well, even when things get tough.
“Every entrepreneur should begin with the end in mind.” — Stephen Covey
In the Software as a Service (SaaS) landscape, an exit strategy might not be the first thing on your mind when building your business. However, planning your exit strategy from the outset is crucial for long-term success. A well-thought-out exit strategy provides direction, helps align your business with your future goals, and ensures that when the time comes, you’re ready to make the most of the opportunity.
Understanding the Importance of an Exit Strategy
Why Every SaaS Business Needs an Exit Plan
Even if you don’t plan to sell your SaaS business soon, having an exit strategy in place is important. Moreover, according to a Harvard Business Review article by Noam Wasserman, early exit planning can help entrepreneurs avoid pitfalls and align their operational decisions with long-term objectives.
An exit plan provides a roadmap for your business’s future, allowing you to make strategic decisions that align with your long-term goals. It also ensures that you’re prepared for unexpected offers or changes in the market that could make an exit more attractive than continuing to grow the business.
Your exit strategy should not exist in isolation; it must be aligned with your overall business objectives.
Short-term goals: Your exit strategy should support immediate business objectives like customer acquisition, revenue growth, and market penetration.
Long-term vision: It should be consistent with your company’s overarching mission and vision.
Flexibility: Be prepared to adapt your exit plan as your business evolves.
Identifying Potential Exit Opportunities
Strategic Acquisitions
One of the most common exit strategies for SaaS companies is a strategic acquisition by a larger company. This approach can be particularly lucrative if you can identify the right potential acquirers—companies whose business models and strategic goals align with your product or service.
“Great companies usually don’t sell themselves; they are bought.” — Peter Thiel, co-founder of PayPal
Initial Public Offering (IPO)
Taking your SaaS company public through an IPO is a monumental step that offers significant rewards and challenges. The process involves rigorous financial scrutiny, regulatory compliance, and market readiness. As per a study by PwC, only a fraction of companies that consider an IPO proceed, underscoring the importance of meticulous preparation.
In some cases, a management buyout (MBO) may be the best exit strategy. This approach allows the current management team to purchase the company, often with the help of outside financing. MBOs can be an attractive option if you want to ensure that the company remains in the hands of people who understand its operations and culture.
Strategic Partnerships
Forming a strategic partnership with a complementary business can also serve as an exit strategy. This approach allows you to combine resources, expertise, and market reach while ensuring business continuity.
“A well-executed partnership can create synergies that benefit both companies, often leading to an eventual merger or acquisition,” explains John Chambers, former CEO of Cisco Systems.
Financial and Legal Considerations
Valuation and Financial Health
Before pursuing any exit, understanding your company’s valuation is paramount. This involves a thorough assessment of financial health, revenue streams, customer base, and growth potential. A comprehensive valuation will give you a clear picture of what your business is worth and help you make informed decisions during the exit process.
Different exit strategies come with varied tax consequences. It’s essential to consult with tax professionals to understand liabilities and explore avenues to minimize them. According to a KPMG report, early tax planning can lead to significant savings during mergers and acquisitions.
Legal preparations are another critical aspect of planning your exit. This includes protecting intellectual property, reviewing contracts, and ensuring compliance with relevant regulations. Having all legal documents in order will facilitate a smoother exit process and reduce the risk of disputes.
Timing Your Exit for Maximum Value
Market Conditions and Trends
Exiting during favorable market conditions can significantly impact your returns. Monitoring industry trends, competitor movements, and market demand can guide optimal timing. As per McKinsey & Company, companies that exit during market peaks often realize higher valuations.
Growth Metrics and Milestones
Key Performance Indicators (KPIs) like Monthly Recurring Revenue (MRR), Customer Acquisition Cost (CAC), and churn rates can signal the right time to consider an exit. Achieving certain milestones can make your SaaS business more appealing to buyers or investors.
Economic Landscape
Broader economic factors, including interest rates, market cycles, and geopolitical events, can influence exit success. For instance, low-interest rates can spur acquisition activity due to cheaper financing.
“Macroeconomic conditions can have a significant impact on valuations and the success of an exit. It’s important to be aware of the economic landscape when planning your strategy,” advises Howard Marks, co-founder of Oaktree Capital Management.
Ensuring a Smooth Transition
Customer Retention During Transition
Maintaining customer satisfaction and retention during the exit process is crucial for preserving the value of your business. Clear communication and continuity of service are key to keeping customers engaged.
Employees are the backbone of your SaaS business. Ensuring their concerns are addressed and morale remains high during ownership changes is essential. Offering retention bonuses, clear communication, and involving key personnel in transition plans can foster trust.
Communicating with Stakeholders
Transparent and timely communication with investors, partners, and other stakeholders can smooth the exit process. Regular updates, addressing concerns, and setting clear expectations can prevent misunderstandings.
Thorough due diligence involves a comprehensive review of all business aspects, from financials to operations. Ensuring all documentation is accurate, up-to-date, and readily accessible can expedite the exit process.
Negotiation Tactics
Negotiating the best terms requires a blend of preparation, understanding your value, and knowing when to compromise. Chris Voss, a former FBI negotiator, suggests, “Never be so sure of what you want that you wouldn’t take something better.” Being flexible yet firm can lead to favorable outcomes.
The transfer of ownership requires careful planning and execution. Develop a detailed transition plan, including roles, responsibilities, and timelines.
Case Studies and Real-Life Examples
Success Stories
Slack’s Acquisition by Salesforce: In 2020, Salesforce acquired Slack for $27.7 billion. Slack’s robust user base, innovative product, and strategic positioning made it an attractive target. Read more
GitHub’s Acquisition by Microsoft: Microsoft acquired GitHub in 2018 for $7.5 billion. GitHub’s vast developer community and alignment with Microsoft’s cloud strategy were key factors. Read more
Lessons from Failures
WeWork’s Failed IPO: WeWork’s attempted IPO in 2019 unraveled due to overvaluation, governance concerns, and financial instability. The fallout underscores the importance of transparency and solid fundamentals. Analyze the case
Quibi’s Shutdown: Despite raising $1.75 billion, Quibi shut down within six months of launch in 2020. The failure highlights the risks of misreading market demand and the importance of adaptability. Learn more
By carefully considering these factors and drawing inspiration from real-life examples, SaaS entrepreneurs can increase their chances of achieving a successful exit.
In this blog, we will learn about the technology that is becoming more popular and finding its way toward the mobile app development process. AR “Augmented Reality” is a technology that merges reality with the digital world. It enhances our physical world with the help of digital elements, sounds, and other sensory effects. Unlike Virtual reality, instead of creating a digital world for the user, it adds 3D details to the physical world. Therefore, it is either used to change the natural environment or provide useful information to users. To better understand AR, you should know the application that is being used by millions of people all over the world “Snapchat” with its amazing filters like cat ears, makeup filters and so on is an example of AR technology.
Thomas Caudell, a researcher at Boeing Computer Services Research, first used the phrase "augmented reality" in 1990 to describe how electricians assembled intricate wiring connections using head-mounted displays. The yellow first down marker that started showing up in football games broadcast on television sometime in 1998 was one of the first commercial uses of augmented reality technology.
Since its early stages, AR has advanced significantly due to the evolution in technologies like the rise of smartphones with high-resolution displays, Advanced camera photography features, voice recognition systems, GPS (global positioning system), touch screens that are making tasks easier and modern sensors have increased the accessibility of AR.
How does AR work?
Sensing: AR technology as discussed earlier combines the physical world with the digital world for this to happen it must have a model of the physical world which can be made with the help of sensors like GPS, cameras, gyroscopes, etc.
Modelling: After receiving the information about the physical world through sensors, this information is used and designed to develop a 3D model of the physical world for the machine to understand, it also has many more features.
Enhancing: Now in this step, the action occurs where the two worlds merge and this is done differently according to the software like from giving yourself a makeover through Snapchat filters to using AR technology to get a demonstration of complete interior design for your new house.
Display: Finally the result of the model is shown to the user through mobile phones or other devices.
What are the benefits of AR?
The advantages of Augmented reality are numerous and diverse. From enhancing productivity and efficiency in the industry to reshaping our whole world like how we learn, travel, and interact with others. Companies in industries as varied as real estate, banking, and healthcare have requested AR layering and augmentation for apps they are building, demonstrating how AR is already having an impact on app development throughout the world. Contrary to virtual reality, augmented reality is more widely available and doesn't call for any additional purchases from users. Now let’s see some benefits of AR that have revolutionized our world.
Competitive Differentiation: Augmented reality can make your apps stand out in this market without following the current trends it is difficult to survive so AR can connect with users, gain their trust and provide them with an experience that they have never experienced before. See it in Your Space, a function of the Target retail app, allows users to snap a photo of a room in their house and virtually view an object, such as a chair or a picture on the wall, or even change the color of your wall to see how it would appear there.
Increased Engagement: AR merges the two worlds physical and digital which enhances user engagement by providing interactive and memorable experiences that draw interest, and pique curiosity for example The Measure app for Apple iOS allows users to select two or more locations in their environment and measure the distance between them by using it as a tape measure.
Improved Learning and training: As AR provides more interactive and realistic models it can help users to train better and learn new things more rapidly. This can be done by adding instructions and visual objects to the physical world through augmented reality. For example, Google Translate shows translation overlaid on the real physical world.
Reduced Cost: AR can be used to reduce costs as it makes learning and completing tasks easier and they can be done more accurately and quickly. Workers can get real-time instructions and directions via augmented reality (AR). Airbus has created an AR app that helps train technicians to repair aircraft without making mistakes with the help of instructions this task is made easier, and quicker and reduces cost as there is no need to train them anymore.
According to an article, it is said that In 86% of cases, a smartphone was the first device people used to encounter augmented reality.
What are the challenges of AR?
Augmented reality is a rapidly evolving technology but like every other technology it also faces some challenges:
Hardware limitations: The range of AR technology is still somewhat constrained by the price and mass of current AR devices. Additionally, the technology demands a lot of computing power, which can quickly deplete batteries.
Accuracy and precision: To overlay virtual items appropriately, AR devices must be able to precisely track the user's location and orientation. In demanding circumstances like the outdoors or busy locations, this may be problematic.
Content creation: Creating content High-quality AR takes time and requires specialized knowledge. The variety of AR applications that are offered may be constrained as a result.
User experience: It might be challenging to utilize AR for long periods since it can be distracting and unsettling. To reduce these problems, designers of AR experiences must be vigilant.
The Future of AR Mobile App Development
Mobile app development has been able to enhance engagement and reshape its value in the world with the help of AR augmented reality and will continue to do so in the future. Furthermore, it is expected that AR technology will probably take mobile apps to the next level with their advanced technology. According to an article it is expected that AR market value will surpass 50 billion dollars by 2024. Here are some advancements in augmented reality that will impact mobile app development in the coming years.
Hopefully, in the future, it is expected that with evolvement in the tech world graphics, motion sensors, and positioning systems will become more advanced, and then it will be possible to portray a world that is a combination of digital and real-world but now with more realistic experiences.
Many industries are benefiting from AR but with evolvement in it further on in the following years, it is expected to grow in all directions causing widespread adoption in manufacturing, retail, healthcare, tourism, education, real estate, and retail, etc.
Haptic feedback technology is being developed for headsets of AR technology. This haptic feedback is the ability to feel touch sensations in the real world.
Eye-tracking technology is being developed to make AR work more efficiently. This ability can track the user’s eye movements. In this way, it will be able to respond according to the user’s gaze.
The future of AR also includes its enhanced accessibility thanks to no-code development platforms. Platforms like AppMaster.io will be essential in decreasing the entry barriers for producing AR experiences as the demand for AR-enabled apps increases. These no-code platforms allow even non-technical people to create, distribute, and maintain AR apps without having to have a deep understanding of programming.
AI makes AR work. AI can be used to recognize and track objects in the real world. This allows AR applications to overlay virtual objects on top of real objects more accurately and realistically. AI can be used to understand natural language commands. This allows users to interact with AR applications using voice commands, which can be more convenient and natural than using touch controls.
It's just the beginning of augmented reality in this world, The future is bright in mobile app development. As discussed earlier AR is a powerful technology that has revolutionized the world around us. AR technology is advancing every day with improvements in hardware and software. Developers of AR mobile apps will have the chance to work with organizations and other developers to produce more intricate and immersive AR experiences. If you are a mobile app developer it’s an amazing opportunity for you to learn and involve AR technology into your applications.
For custom software development, visit us at Zee Palm
Are You Excited About The Future Of Mobile App Development?
Do you ever wish that your mobile apps could do so much more? The year 2023 is shaping up to be a big one for mobile app development. The next generation of mobile app development is here, it’s all about creating more interactive, intelligent, and immersive apps.
The rising popularity of new trends such as AR/VR, 5G, AI, and much more will change how we interact with technology. Businesses that want to stay ahead of the game need to have a clear vision of the future.
Trends in 2024
Augmented Reality (AR) and Virtual Reality (VR):
Have you ever wondered what it would be like to fight a dragon or explore new places without leaving your couch? Thanks to AR/VR technologies these experiences are possible. AR allows users to overlay digital information in the real world, while VR creates a completely immersive experience. AR and VR are two of the most exciting technologies in mobile app development. They have the potential to revolutionize the way we interact with the world around us. Technavio’s research predicts $125 billion growth in the global AR/VR market in 2022-2024.
Examples
AR/VR can be used in a wide range of industries.
Gaming: There are several AR/VR games available, such as Pokemon Go and Beat Saber. These games allow users to interact with digital characters and objects in the real world.
Healthcare: AR and VR can be used to train medical professionals or to provide patients with therapy. For example, surgeons can practice procedures before performing them on real patients.
Retail: AR/VR can be used to help customers visualize products or to provide them with a more immersive experience. For example, Makeup brands have introduced virtual try-ons, making online shopping easier.
AR/VR is still in its early stages and many challenges and limitations come along such as the high costs of AR/VR devices, limited content, and the need for extensive hardware, etc. But it can potentially transform the mobile app market.
Artificial Intelligence (AI):
What if your mobile apps could learn from your behavior and predict what you need before you even ask? AI is a rapidly growing technology, and it's having a major impact on mobile app development. AI can be used to automate tasks, personalize user experience, provide better data analytics, and so on. It is a valuable tool for developers to create more efficient and user-friendly apps. According to IOT analytics, the CARG of Global Industrial AI market size is expected to grow by 31% by 2025.
Examples:
Chatbots: Chatbots are AI-powered programs that can stimulate conversation with humans. They are often used in customer service apps to answer questions and provide support.
Personalized Recommendations: AI can be used to recommend products, services, or content to users based on their past behavior. This is commonly used in e-commerce apps like Amazon.
AI is still a relatively new technology and the cost of maintaining and developing AI is very high, but it has the potential to reshape the app development industry. By automating tasks, and improving the accuracy of predictions. As the technology continues to develop, we can expect to see even more exciting and ground-breaking AI-powered mobile apps.
Internet of Things (IoT):
The Internet of Things refers to the network of physical devices that are connected to the internet. These devices can collect and share data, which can be used to create more intelligent and connected mobile apps. The global IoT market is expected to reach $1.9 trillion by 2025. It can be used to create healthcare applications. IoT can be used to monitor patient’s vital signs, and medication intake and provide remote care. It can also be used in manufacturing applications to improve efficiency or productivity. IoT can be used to monitor equipment, track production data, and optimize supply chains.
Examples:
Smartwatches: Smartwatches collect data about the user’s heart rate, steps taken, and sleep patterns. This data can be used to give personalized fitness suggestions.
Home Appliances: Home appliances such as thermostats, security cameras, and lights can be connected to the internet. This allows users to control these devices remotely or to receive alerts about their status.
IoT is a swiftly growing technology. By connecting physical devices to the internet, it can create intelligent and connected mobile apps that can enhance our online experience.
Cloud Computing:
How can you create an app that can handle millions of users? Cloud computing is revolutionizing the way mobile apps are developed. By storing and processing data and applications on remote servers, cloud computing can free up space on mobile devices and improve the performance of apps. It can improve the performance of mobile apps by up to 30%. Many companies provide cloud computing services such as Google Cloud, Amazon Web Services, Microsoft Azure, etc.
Examples:
Game Development: Cloud computing can be used to store and process data and graphics for games. This can free up space on mobile devices and improve the performance of games.
E-Commerce: Cloud computing can be used to store and process the data for e-commerce apps, improving their performance and making them more scaleable.
Cloud computing is a powerful tool that can help mobile developers build better, more performant, and more scalable apps. This allows users to have a smooth experience without having extensive hardware.
Blockchain:
What if you could make transactions without a bank? Blockchain is a distributed ledger technology that allows secure, transparent, and tamper-proof transactions. This makes it a promising technology for mobile app development, especially for apps that need to monitor transactions or manage sensitive data. The global blockchain market is expected to reach $23.3 billion by the end of 2023. Decentralized applications run on blockchain networks, they are not controlled by any central authority which makes them more secure and transparent. Smart contracts are self-executing contracts that are stored on a blockchain network, they can be used to automate transactions and reduce the need for intermediaries.
Examples:
Voting Apps: Blockchain technology can be used to create secure and transparent voting systems. This can help to reduce fraud and increase voter participation. VotingWorks is a blockchain-based voting platform being used in Estonia.
Financial Apps: Blockchain can be used to track financial transactions, such as payments and loans. Everledger is a blockchain-based platform that tracks diamonds from the mines to the jewelers, helping to ensure that the diamonds are not mined illegally.
Blockchain is still in its early stages of development, It has a high cost of implementation but it is a technology to watch, and we can expect to see even more innovative and exciting applications of blockchain in the years to come.
Conclusion:
Mobile app development is continuously evolving, and the future looks promising. In the years to come, we will see these trends and many others making mobile apps more intelligent and interactive. With AR/VR bringing imagination to life, AI anticipating users' needs, IoT seamlessly weaving the physical world into digital, cloud computing providing us with a smooth experience, and Blockchain technology securing our data and assets the possibilities are endless. The question here is: How are you going to use these trends to reinvent the mobile experience for future generations?
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