Computing at the quantum level – When dealing with rising workloads, one of the distinguishing qualities and benefits of cloud computing is its scalability. Increased data processing and monitoring demands, large-scale simulation demands, and generative designs necessitate faster computers capable of handling massive workloads.
Quantum computing is one answer to the problem of managing enormous workloads quickly. Fortune 500 companies including IBM, Microsoft, Google, and Intel competed in the race to build quantum computing systems that provide limitless agility in 2019. Despite significant progress, quantum computing is still only available to a small number of people, much like today’s widespread cloud computing technology was in the early 2000s.
The year 2020 is projected to be a watershed moment for those developing quantum computing technologies. The quantum computing market is worth $116 million, according to Tractica, and is expected to increase much more in 2020 as quantum computing services improve.
Edge computing – Another key aspect or benefit of cloud computing is the dispersed infrastructure it employs and how it facilitates user access. Stakeholders in industrial production are still struggling to connect aging equipment to the cloud, which is where edge computing, edge hardware, and edge analytics come into play.
In 2020, the principles of edge computing, as well as the hardware and communication protocols that enable reduced latencies, will continue to improve. This includes advancements in edge hardware that prioritize aesthetics, durability, and usefulness.
The bulk of analytics and real-time computations take place on the edge, which necessitates the use of strong edge devices. As a result, suppliers will be entrusted with building edge computing hardware that is suitable for industrial cloud services and edge computing, hence increasing the adoption rate.
Serverless computing, also known as open-source serverless computing, is a cloud computing concept in which service providers also manage servers. In this computing architecture, the vendor allocates computer resources based on the customer’s payment request. When acquiring cloud services, this pay-as-you-go model allows for more efficient use of limited resources. Serverless computing is also adaptable, allowing it to scale up as the requirement for computing resources grows.
Today, 46 percent of businesses adopt serverless computing, yet the serverless computing solutions offered are still proprietary. This ties clients to a single cloud provider, but the expanding number of open-source alternatives is about to change that. The year 2020 is predicted to be the year when open-source serverless computing choices for businesses mature.
Industrial cloud computing is on the increase – Proprietary public and private cloud services that are pushed out for business users continue to dominate cloud computing. These computing services provide flexibility and scalability in terms of computing resources and data management, but they do not provide specialized services or apps to address specific industrial needs. As a result of this situation, hybrid and electric vehicles have become popular.
Industrial cloud computing services, which provide industry-specific functionality for businesses, have grown in popularity over the previous three years. These services have benefited businesses in the financial and manufacturing sectors, and growth is likely to continue in 2020. The open-source idea is driving expansion in the industrial cloud sector, so expect more suppliers and alternatives in this market.
Blockchain technology’s broad adoption – In some respects, cloud computing and blockchain technology are a natural combination. To begin with, cloud computing is a decentralized, scalable means of accessing or supplying computer power, and blockchain technology, when considering cryptocurrencies, is likewise decentralized and scalable. It’s also worth mentioning that the present cybersecurity concerns affecting cloud computing have been a cause of worry for both businesses and government agencies contemplating using the technology. Blockchains make it possible to safeguard transactions that take place in the cloud.
Large corporations like Amazon, Walmart, and Facebook have already implemented blockchain technology to protect and accelerate their corporate processes. In 2020, this adoption rate is expected to increase. Because of its capacity to speed up transactions, maintain anonymity, and develop businesses, cloud computing suppliers are likely to investigate and implement blockchain technology.
Artificial Intelligence (AI) in the intelligent cloud allows businesses to automate activities and get valuable business insights. The emergence of Industrie 4.0 and the Internet of Things, as well as smart edge devices and the robots that power these advancements, has produced a compelling argument for AI integration in cloud computing services. This is because Industrie 4.0 encompasses more than just data collection and facility interconnection. Automation, predictive analysis, and data analytics are among the other features.
As a result, cloud computing solutions will rely on AI to monitor, manage, and expedite corporate processes and repetitive operations in an effective and precise manner. AI will also be utilized to better data management and share cloud computing resources more precisely among apps that require them. AI is also expected to play a key role in ensuring that hybrid and multi-cloud ecosystems operate at peak performance. AI and related concepts such as machine and deep learning will continue to be used to automate operations and get a deeper insight into traditional businesses in 2020.