Innovation is advancing quicker than ever. As technology advances, it enables even faster change and progress, causing an acceleration of the rate of change, until eventually, it will become exponential. Engineers and researchers that don’t stay aware of some of the significant-tech patterns take the risk of being abandoned. Understanding the key patterns will enable individuals and researchers to plan and embrace opportunities.
There are many such technologies that have already made their prominent mark in 2019 and are only a few more applications away from becoming mainstream like 5G. Artificial Intelligence is one of the fast-growing technology for the future. The technology, with its potential to mimic the human brain, has offered numerous opportunities to different areas. Distributed ledger technology such as artificial intelligence (AI), blockchain, virtual and augmented reality, and Quantum computing, abbreviated to DARQ form one such future technology trend of 2020 that business must integrate on priority.
There are some technology trends that fizz out over time and then there are the latest technology trends that stay on the sidelines and then gain traction after an industry suddenly integrates it in their process. Technology trends in 2020 will come with both profound innovation and complex connectivity. Democratization would empower engineers to create data models without having the right skills of a data scientist. The democratization of innovation means furnishing individuals with simple access to technical or business mastery without broad and expensive training. It revolves around four key zones application development, data and analytics, design and knowledge.
If you are still wondering ‘what’s the new technology? here are the top 20 technology trends you should watch for in 2020.
#1 5G and 6G
5G and 6G are the fifth and sixth generation of mobile wireless networks. The long-awaited arrival of 5G is finally making the move from concept to reality in 2020. The roll-out will bring next-generation connectivity to support 1,000-fold gains in capacity, connections for at least 100 billion devices and a 10 Gbps individual user experience of extremely low latency and response times. These benefits will make 5G one of the prime technological trends in 2020 and beyond.
In 2018 and 2019, a variety of trials and proof-of-concept (POC) projects has already showcased the evolution of 5G and helped businesses to prepare for its arrival. By the time 2020 comes, 5G will find its place in the market but it will be gradual. To make 5G reality to all mobile users, mobile network carriers will need to increase bandwidth and reduce network costs. Moreover, LTE adoption isn’t declining and is estimated to reach $672 billion by the end of 2020. 5G connections are predicted to reach 1.2 billion by 2025, accounting for 15% of the total connections at that time.
With 5G networks still being deployed around the world and many areas of the globe still using 4G and even 3G networks, it seems a bit early to throw around the term 6G, but researchers have already started work on 6G. 6G research has begun from Virginia Tech and companies like LG and Samsung and few telecom companies are also looking into it seriously right now. Typical a new mobile network standard takes the spotlight every decade or so, which means 6G networks might roll out sometime around 2030. Speed and latency are going to be the clearest distinction between 6G and 5G. As for how 6G will be faster than 5G is still not clear, but we can assume it will involve using ultrahigh frequencies (terahertz band) of the radio spectrum.
#2 Machine Learning
Machine learning (ML) is an application of artificial intelligence (AI) that provides systems the ability to learn to do something they are not programmed to do: they learn by discovering patterns and insights from data. In general, there are two types of learning, supervised and unsupervised. Supervised machine learning algorithms are applied to what has been learned in the past to new data using labeled examples to predict future events. In contrast, unsupervised machine learning algorithms are used when the information used to train is neither labeled nor classified.
ML has been one of the top technologies in recent years and is now being widely applied to businesses. Machine Learning applications are used for pattern recognition, data analytics, and data mining. On the consumer end, Machine Learning powers real-time ads, web search results and network intrusion detection, to name only a few of the many tasks it can do. Machine Learning is rapidly being deployed in all kinds of industries and this market is expected to grow to $8.9 billion by 2022. While Machine Learning is a subset of AI, we also have subsets within the domain of Machine Learning, including neural networks, natural language processing (NLP), and deep learning.
#3 Internet of Things (IoT)
IoT is another buzzword that no longer remains a buzzword but has become a full-fledged technology ecosystem. IoT is a massive network of connected devices – all of which collect and share data about how they are used and the environments in which they are operated. Basically, IoT is connecting many devices with WiFi connectivity and creating a virtual network where everything works seamlessly via a single monitoring center connected to the Internet.
The IoT is the future and it is changing the world around us. It has already enabled devices, cars, home appliances, and much more to be connected to and exchange data over the Internet. The number of IoT devices is expected to reach 30 billion devices by 2020. Smart building, driven by connected lighting devices, will be the segment with the largest growth rate in 2020, followed by automotive and healthcare. Many homes that already have a series of smart products such as TVs, microwaves, water heaters, and the voice-enabled personal assistants like Amazon echo, will find a series of new entries in only a matter of time.
#4 Big Data
With the ever-growing amount of interaction between humans and machines, the devices have become a massive repository of data. Data that is waiting to be converted into meaningful information and insight for businesses to use for offering better service. Big Data term is used to describe a collection of data that is massive in size and yet growing exponentially with time. In brief, such data is so large and complex that none of the traditional data management tools can store it or process it efficiently. Big data states to problems that are associated with processing and storing different types of data. Big data analytics analyze structured, semi-structured, and unstructured data to improve customer experience using big data tools like Hadoop and Spark.
As per data scientists, the volume of data would double every two years and it will reach the 44 ZB point by 2020. Now with smartwatches, glasses and even smart clothes the world is becoming a data collection mechanism. Big Data Analytics is changing organizations and industries at an alarming rate. Many experts agree that 2020 will be fueled even more by data and analytics. According to statistics, the forecast for Big Data market size is predicted to grow from $49 billion to $56 billion.
#5 Quantum Computing
Quantum computing is based on the quantum mechanics principles of superposition and entanglement. Present computers store information as binary 0 and 1 states. Quantum computers leverage quantum mechanical phenomena to manipulate and store information. Quantum computers use quantum bits, or qubits, to encode information as 0s or 1s. Qubit is created using superconductivity, which creates and maintains a quantum state. To maintain the state of these superconducting qubits for extended periods of time, they must be kept very cold.
A few decades ago that quantum computing was a purely theoretical subject but today, real quantum processors are used by researchers from all over the world to test out algorithms for applications in a variety of fields. Quantum computing may take several years to appear in real-world applications, but it is the correct time to shine the spotlight on the technology. The market forecast for Quantum computing shows it growing at a CAGR of 62% with a market value of $2.2bn by 2025. 2019 was a great year for quantum computing, Google’s announcement of achieving “quantum supremacy” sparked the debate on the impact of quantum computing in cryptography. As per scientists, quantum computing will cause seismic shifts in cryptography. 2020 will see an ongoing increase in efforts to establish hegemony in the quantum race.
#6 Cloud Computing
Cloud computing is the delivery of computing services over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale —including storage, databases, networking, analytics, software, and intelligence. Cloud computing is a major shift from the traditional way businesses think about IT resources. It removes the expense of buying hardware and software. The global public cloud services market is forecast to grow 18% in 2020 to total $265 billion, up from $227 billion in 2019.
The adoption of cloud computing is still growing, and the cloud is not going to recede in importance anytime soon as we are all dependent upon services distributed by clouds more than ever and virtually every time, we use a connected device. However, in 2020 there may be some new efficiencies, interfaces, connectivity choices and applications themselves in our interactions with the cloud daily. The cognitive cloud is an extended ecosystem of traditional cloud, it is considered as the next big evolution in the IT industry. It helps experts with better decision making by understanding the complexities of Big Data. Big brands such as Google, Microsoft, IBM, Cisco have already started implementing this next-generation technology.
As the quantity of data is increasing, there are shortcomings of cloud computing in some situations. Edge computing is designed to help solve some of those problems to bypass the latency caused by cloud computing. It can be used to process time-sensitive data in remote locations with no connectivity or limited connectivity to a centralized location. Edge computing will increase as the use of IoT devices increases and by 2022, the global edge computing market is expected to reach $6.72 billion.
You may be aware with “blockchain,” the record-keeping technology behind bitcoin. This is the technology that powers bitcoins, a new parallel currency that has taken over the world. Interestingly, blockchain as a technology has extensive potential in everything from healthcare to elections to law enforcement to real estate. In a simple way, blockchain can be described as data one can only add to, not take away from or change. Hence the term “chain”, because a chain of data is made and not being able to change the previous blocks, is what makes it so secure. Also, blockchains are consensus-driven, so no one entity can take control of the data. With this technology, a trusted third-party to oversee or validate transactions is not required. Blockchain permits multiple partners who don’t know each other to safely interact in a digital environment and exchange value without the need for a centralized authority.
Over the years, several industries are involving and implementing blockchain but blockchain still remains immature for enterprise deployments due to a variety of technical issues such as poor scalability and interoperability. The rate at which Blockchain is growing has placed it at a crucial point in the list of top technology trends 2020. By 2023, blockchain will be scalable technically and will support trusted private transactions with the necessary data confidentiality. Facebook is planning to launch its own Blockchain-based crypto (Libra) in 2020. China has always been active in the blockchain and crypto space and entered the blockchain race in full force by spending billions on innovation.
Cybersecurity is technologies, processes, and practices designed to protect networks, programs, devices, and data from attack, damage, or unauthorized access. You might be thinking that cybersecurity is not an emerging technology, given that it has been around for a while, but it is evolving every year because cyber threats are constantly new. The hackers who are trying to illegally access data are not going to give up any time soon. If we have hackers, we will have cybersecurity challenges because it will constantly evolve to defend against those hackers.
Organizations transmit sensitive data across networks in the course of doing business. A data hack can have a range of disturbing consequences for any business. Cybersecurity defines the discipline dedicated to protecting that information and the systems used to process or store it. In 2020, we will witness an increase in targeted ransomware attacks and data hacking. The significant increase in the number of IoT devices, along with the 5G networks roll out, will dramatically increase the number of cyber-attacks against smart devices on a large scale. In the coming years, cybercriminals will start to use AI and machine learning into their malware programs to bypass and infiltrate targeted systems.
#9 Robotic Process Automation (RPA)
Robotic Process Automation (RPA) is the technology that allows to configure computer software, or a robot to emulate and integrate the actions of a human interacting within digital systems to execute a business process. Like AI and Machine Learning (ML), RPA is another technology that is automating jobs. There are many tasks that people used to do repetitively and that is where RPA works out very professionally. RPA simply automates repetitive jobs. RPA interacts with the existing IT architecture with no complex system integration required and it can be used to automate workflow, infrastructure, back-office process which are labor-intensive. RPA offers organizations with the ability to reduce staffing costs and human error. Although it is estimated that RPA automation will threaten the livelihood of 230 million or more knowledge workers.
#10 Augmented Reality and Virtual Reality
Augmented Reality (AR) and Virtual Reality (VR), the twin technologies that let you experience things in virtual, that are extremely close to real, are today being used by businesses of all sizes and shapes. AR adds digital data to a live view often by using the camera on a smartphone. Examples of augmented reality experiences include the game Pokemon Go. VR is a computer-generated simulation of a real-life environment and makes the user feel like they are experiencing the simulated reality firsthand. VR immerses the user in an environment while AR enhances their environment. Both AR and VR have enormous potential in training, education, entertainment and marketing. In 2020, total AR/VR spending worldwide is projected to amount to $18.8 billion.