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We are just a few days away from the New Year. It is approaching quickly, and it’s hard to believe how quickly 2018 flew by. When it comes to looking at the 2018 mobile app market, it has witnessed just over 27 billion downloads that is a year-over-year growth of approximately 11%.
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Not only in 2018 but for the past many years, mobile apps have been changing our lives from booking a cab to ordering food and hiring the best electrician from the nearby area. Mobile apps have revolutionized the way we perform our daily tasks whether it is personal or business.
With the increasing demand and usefulness, mobile apps serve to be a significant opportunity for entrepreneurs, businesses, and startups. According to Statista.com, mobile applications are supposed to generate approximately $189 Billion US dollars in revenue by 2020 that you can see in the given graph.
Image Courtesy: Statista.com
In fact, many experts have said that the mobile app development industry is the fastest growing industry, and it is showing no sign of slowing down in the future as well. Looking at the technological advancements and new inventions in the mobile app industry, it is necessary to give a glimpse into the mobile app development trends of 2019.
These mobile app development trends will bring many new opportunities for entrepreneurs and startup owners. Without discussing more on the mobile app market, let’s check out the upcoming trends that are thoroughly researched and analyzed by our technical head.
1. Artificial Intelligence & Machine Learning
Artificial Intelligence (AI) and Machine Learning both have studded their legs deeper into the mobile app industry. Talking about AI, it is one such area of computer science, which mainly emphasize the creation of intelligent machines that work and react like humans.
This technology has mainly made itself obvious in the form of chatbots, whereas Siri, which is the combination of AI and machine learning, has become an important part of the mobile app innovations.
In the upcoming year, the use of both these technologies will not be restricted to Chatbots and Siri. There are many companies like Oracle, IBM, Microsoft, Google, and Amazon are heavily investing in AI technology. In fact, Oracle will be using machine learning to develop app and data integration, analytics and system, and identity management autonomous.
In effect, as per the IDC report, more than 75% of workers, who are using ERP solutions, will now leverage the capabilities of AI to expand the proficiency in the workplace. It means, AI and machine learning are not going to revolutionize mobile apps industry, but these technologies have significant opportunities for innovation in the future, too.
2. Blockchain Technology
For the past one or two years, the word, Blockchain, has created a buzz in the market. This advanced technology allows businesses to create tamper-proof records across multiple computers and gives the ability to track transactions with greater confidence and security.
In fact, Blockchain technology is set to enter a new era in 2019. And there are many industry experts like Nick Cowan, a CEO of the Gibraltar Blockchain Exchange, and Luka Horvat, a blockchain engineer, who are expecting the technology will be more widely adopted by companies, financial organizations, and charities.
All those enterprises and companies that require trustless transactions and secure record keeping will highly adopt this key technology in the upcoming year. Unlike other traditional businesses, the banking and finance industries are not looking forward to introducing radical transformation to their processes for adopting Blockchain technology.
As it was successfully used for the cryptocurrency, there are even many financial institutions that have begun considering Blockchain technology adoption for traditional banking operations. According to the latest PWC report, 77% of financial institutions are expected to adopt Blockchain as part of an in-production system or process by 2020. Whether you are running a small business or a big enterprise, you can adopt this technology to revolutionize your business and grow it exponentially.
3. On-demand Apps
The most successful and attention-grabbing economy is an on-demand economy that is also known as the shared economy. The on-demand economy fulfills the demand of consumers on an immediate basis, allowing quick access to goods and services.
Initially, when the on-demand business model was introduced in the market, it was an inevitable bubble in the world of mobile applications. Today, on-demand-based mobile apps are the future of the mobile app industry.
The mortal instruments city of bones game. Irrespective of the type, category, and size of business or startup, almost all the entrepreneurs have embraced on-demand based solution to take their business to the next level. Till date, more than 45 million Americans or we can say 22% of the adult population has offered services in the on-demand economy. According to the same survey, 86.5 million Americans that means 42% of the adult population have used at least one on-demand economy service.
Looking at the report, we can say this technology will not fade away anytime soon. The on-demand apps development is here to stay, allowing startups and enterprises to develop an on-demand solution to provide quick access to services and goods.
4. Augmented Reality
Augmented Reality (AR) is one such emerging technology that is revolutionizing the way people are buying products today. According to Digi-Capital report, the Augmented Reality is expected to make $150 billion in revenue by 2020, giving a potential market to professional app developers and enterprises to explore and grow.
Various tech goliaths are already innovating new use cases for Augmented Reality. In fact, Google and Apple both the companies are released new AR demos on their latest devices that simply means AR will be the game changer in the upcoming year.
Apart from this, you can notice that social media platforms like Snapchat and Instagram have already used this technology in order to launch AR filters, allowing users to turn a human face into various digital funny characters.
So, whether you are from the retail industry or want to develop a social networking app, Augmented Reality is here to stay to give a seamless experience to users.
On a Concluding Note
You have just gone through with the mobile app development trends of 2019 that will shape the future of mobile app industry. Through these trends, you as an entrepreneur and startup owner can get an idea about the latest technologies to adopt for your mobile app development.
By developing your own mobile app considering the latest trends, you can meet your customers’ ever-changing demands and market competition. So, if you have ever thought to develop mobile app for your business, you can discuss it with our sales representative, who will suggest the right solution.
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In fact, you can book 30-minute free consultation with our expert and discuss your queries and ask any question related to mobile app development. Our expert will answer all your queries.
Software development is a moving target. You have to keep your eye on trends in the tech space that haven’t even happened yet just to stay current. Consider what’s happened with augmented reality (AR) in this year alone. If you said you were working on an AR app in 2015, you might have gotten a lot of blank stares or jokes about Google Glass. Then Pokémon GO happened. Like AR, the trends listed below have been building steam for some time, but took off in a whole new direction in this past year. Here’s a review of the top trends that changed software development this year.
1. Linking Application Performance and Business Performance
Application performance management (APM) has grown incredibly sophisticated over the past decade. By 2010, Gartner had defined five dimensions of end-to-end performance for best-in-class software:
- Monitoring how the end user experiences the application and surfacing discontents
- Defining the scope of problems in execution, runtime architecture, and communications
- Mapping out user-defined transactions across components (a.k.a. business transaction management)
- Tools for going deeper into the components identified as sources of the problems
- Behavioral learning analytics for patterns of breakdowns and issue forecasting
Management has been so impressed with the results of reducing Mean Time to Resolution (MTTR), they want to apply these lessons to reduce the overall Mean Time to Business Awareness (MTBA). Today, highly advanced tools like AppDynamics are doing more than organizing the priorities of development teams. Real-time insights into the customer experience can auto-correlate the relationship between specific performance data and business goals.
At AppSphere 2016, David Wadhwani, President and CEO at AppDynamics, explained it best:
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“I can’t say this enough: there are very few times in a person’s career where you’re sitting on a precipice of a change like this. Take advantage of it. Accelerate your careers, redefine your goals. Don’t think of yourselves as IT professionals, think of yourselves as business owners who happen to run the technology as well.”
Ultimately, the application of APM expectations into MTBA measurements is aiding CIOs in understanding how technical choices and priorities impact a business. More than ever, that’s what the CIO is expected to explain to senior managers. At the intersection of technology and finance, the role of the CIO has become the locus for all the most critical data analytics.
2. Application Teams as Human Microservices
The microservices model applies to more than just software. Software tends to match the organizational structure of the design team, just as the switch from waterfall to agile required a restructuring of development teams.
Teams of application developers have always shared out projects like sub-routines or specific software integrations. What’s different in 2016 is that software engineering teams are acting more like independent business units. The microservices model has happened in companies like Google and Amazon, where individual and autonomous “application teams” are organized around specific business objectives. At Google, these application teams include a crucial new role: Site Reliability Engineers (SRE) who combine development and operations skills. As Google’s Ben Treynor defined it, “The SRE is fundamentally doing work that has historically been done by an operations team, but using engineers with software expertise, and banking on the fact that these engineers are inherently both predisposed to, and have the ability to, substitute automation for human labor.”
Figure 1: Decoupled applications with autonomous application teams centered around individual business capabilities
In the year ahead, expect this to spread to more organizations inside and outside of the software industry. You will see more work teams that include their own developers, deployment models, performance engineers, business analysts and product management teams. Like miniature companies within a company, they will operate as autonomous groups responsible for innovation, execution, deployment, application performance monitoring, and business performance monitoring.
In early experiments with this sort of microservices team structure, here are some of the challenges that commonly arise:
- Displaced business priorities: When the microservice goal becomes the team’s primary responsibility, they may pull off course from the overall company strategy, strengthening the argument that more insight into business performance is necessary.
- Microservices that don’t communicate: API’s connecting the functions of microservices can fall between the cracks as teams argue over who is responsible for making sure that they work together. Attaching and detaching microservices from the main functionality of the application is never as easy in practice as it is in theory.
- Struggles with team cohesion: Many developers have developed their skills in isolation and may have difficulty aligning their work habits with a tighter team structure.
In the end, it can only work in the presence of leaders who reinforce communication, collaboration, and success measurements among application teams.
3. Microservices, Containers, and DevOps
One of the most massive shifts in the world of software development hit at the same time as the dot-com bubble. It was the shift from monolithic apps residing on bare metal to distributed applications populating virtual machines. This was partially due to the improved reliability of networked infrastructures. However, it was also a reaction to waterfall development methodologies built on the aging manufacturing model of ideation to coding to testing to production, and then shifting into maintenance mode. This was the period that introduced agile methodologies that made much more sense in the bootstrapping world of software startups.
The point is that we are now headed into another shift that will be at least that pervasive. It has grown out of agile concepts like interactions over processes, minimal viable products and responses over planning. The emerging app-driven world will be defined by the rules of DevOps, where feature development and application performance monitoring have to happen simultaneously. Enterprise software is now a whirling mass of microservices, APIs, and containers in constant communication with each other through the hybrid cloud.
Agile was a powerful framework for development teams, but agile couldn’t keep up with the demands of near perfect uptime and spiraling customer experience expectations. At the same time, it’s clear that developers and testers can have critical inputs into solving operational issues. Everyone suffers when there is internal friction between functionality and security.
When you combine this trend with the AP to BP bridge, the image emerges of a new and comprehensive BizDevOps. It will fold business strategy and analysis into the DevOps formula.
4. Scale as a Service
Popularity can be a problem, as too many startups have discovered. Brooks’ Law, established four decades ago but still disputed, states unequivocally that, “Adding manpower to a late software project makes it later.” Updating Brooks’ Law for the age of enterprise application development means adding warnings like “Rails doesn’t scale,” and “Green dashboards make users see red.”
Going into 2017, watch the boom in vendors supporting services like Elasticsearch to help applications scale without blowing up. To help them get ready to scale, the majority of companies running software are using a mixture of six clouds, both public and private. Three are used for running their applications and another three are used for innovating their next level of services and features.
There are many sides to scaling issues, like bigger nodes vs. more nodes, so scaling up has to be done as a company-wide collaboration. Channel vendors are better positioned to see the bigger picture of inter-related adjustments to security, stability, performance, and cost.
In a turbulent market, which won’t be calming down in the foreseeable future, the ability to scale rapidly is the most essential survival skill.
5. Remote Work and Crowdsourcing
In the past, remote work was merely a geographical extension of work. Managers oversaw projects and directed teams of developers. Instead of the team being in another wing of the building, the team moved to another time zone. The biggest structural change in the relationship was the communication channel from in-person to collaboration tech. In many cases, the application performance monitoring (APM) and Business iQ platform served as the collaboration engine, with voice/video/chat software like Skype or Slack on top.
What’s happening in 2016 is that the concept of crowdsourcing is further abstracting the work from the worker to take advantage of the model’s essential efficiencies. The manager still sets expectations and manages routines, but now the coder’s primary transaction is with automation. They submit code and move on to the next assignment. Managers many not even know the people (or bots) who submitted the code.
A good example is Elastic.co, the 100 percent remote-driven group that created Elasticsearch. The open-source ELK stack (Elasticsearch, Logstash, and Kibana) has built up enough contributors to challenge Splunk for the log analysis market. Flexjobs lists 125 virtual companies running on globally distributed teams so far this year, up from 76 a year ago, and only 26 in 2014.
Moving Ahead of the Trends
There are several ways AppDynamics can help businesses take advantage of areas where the latest trends are converging and take on a leadership position. Microservices iQ a is good way to efficiently monitor microservices deployed in elastic infrastructures, such as containers or clouds where nodes scale up and down rapidly. Use Business iQ to transform your application performance monitoring into business results. Advance your digital transformation, discover real-time business awareness, and improve customer experiences with deep application analytics.
Learn more about Business iQ: Business iQ Correlates Business Metrics with Application Performance