Technology is getting more and more integrated into our daily workspace as the corporate environment evolves. According to the most recent estimate, data analytics and data science will continue to dominate the worldwide industry. Big data has a bright future ahead of it, with improved technology and wider access to an ocean of data. This allows organizations to acquire more insights, enhance performance, generate revenue, and innovate more quickly.

In recent years, big data and analytics have become increasingly important to businesses of all sizes. The ability to collect and analyze large volumes of data can help organizations make better decisions, boost productivity, and improve customer service.

Staying ahead of these big data trends will guarantee that your company does not fall behind and continues to grow. The field of big data and analytics is constantly changing, with new technologies and approaches emerging all the time.

Before continuing with the big data trends, let’s know marketing facts. According to Statista, the global big data market revenue is projected to hit the $103 billion mark by 2027. And, the current business intelligence and analytics software market is valued at $16 billion globally.

Apart from the market research stats that speak of huge numbers, big data, in association with artificial intelligence, machine learning, and other innovative technologies. Big data analytics is one of the most powerful technology trends and is reshaping numerous business processes and operations across the world.

Big data is also being used with artificial intelligence, machine learning, and other innovative processing technologies to analyze, process, and parse the massive datasets in multiple sectors, such as Manufacturing, eCommerce, Healthcare, Banking & FinTech, Security, Government Data, Public Infrastructure, Natural Resources Management & Harnessing, etc.

Also Read: Top 10 Trends That Will Reshape The FinTech Landscape in 2022

With more than 2.5 quintillion bytes of data being generated daily. it is more than safe to assume that big data is gearing up for changing the way we think! Studies reveal that in a couple of years, big data has spurred a change in the business perspective across the entire globe.

Keeping up with the latest trends is essential for anyone looking to make the most of this powerful technology. So, what are the most intriguing big data trends to expect in 2022? How can you remain ahead of these developments to increase your market position?

As more companies embrace data analytics to lower costs, enhance customer experience, and optimize current processes, it will dominate in the years to come. This article will look at the most important big data analytics trends for 2022.

Rise of Predictive Analytics

Big data is empowering business organizations and data analytics stakeholders with its fundamental approach for quite a time now. It helps them to gain a competitive edge and accomplish their goals, such as better services, more sales, more customers, happier customers, and so on.

The global predictive analytics market is set to reach $28.1 billion by the end of 2026. Predictive analytics is the practical result of business intelligence and big data. Many companies have already used predictive analytics for applying machine learning or artificial intelligence algorithms and conducting data mining and predictive marketing to optimize their business processes.

These digital transformation technologies have altered the legacy approach into a more modern, integrated approach. Thus, rising internet proliferation, cloud technologies, and connected systems will compel businesses to invest in predictive analytics.

All in all, the predictive analysis offers a realistic and data-driven future prediction for various things. With advancements in big data, artificial intelligence, machine learning, and other technologies, predictive analytics is all set to gain more power and offer more crucial insights.

Growing Cloud-Based Solutions

Many businesses already have hybrid or multi-cloud deployments, and in 2022 these companies will concentrate more on porting their data processing and analytics. As leading enterprises and small and medium enterprises go remote due to the onslaught of the pandemic, more cloud-based technologies are facilitating this shift, and helping companies save costs associated with legacy tools and bottlenecks.

Cloud-based technologies have become mainstream and this trend will continue. Several companies will prefer cloud-native analytics solutions to gain a competitive edge with streamlined analytics and business intelligence.

According to estimates, worldwide cloud revenue will reach $474 billion in 2022 as a result of the ongoing epidemic and the growth in digital services. Thus, making the cloud the focal point of new digital experiences. According to Gartner by 2022, public cloud services will assume a mandatory stance for 90% of data analytics innovation and processes.

As data analytics will move to the cloud, cloud-native analytics will become a necessity for all the leaders and industry stakeholders. Gartner said that the revenue from the public cloud market will reach $331 billion in 2022, and more than 85% of businesses will adopt a cloud-first strategy by 2025. The figures show that the cloud’s prospective benefits are limitless.

Humans to Drive Artificial Intelligence Evolution

Artificial intelligence is already making significant headway in the corporate sector. It will continue to improve its ability to learn algorithms and reduce time to market. Enterprises that use artificial intelligence for data analytics have higher chances of succeeding than their counterparts that don’t.

However, one of the biggest impediments in adopting artificial intelligence was the fear of job loss. People looked at technology with the paranoia of losing their jobs and being replaced by bots. While their fears weren’t necessarily unfounded because machines can work faster, eliminate errors, and are more efficient, the true potential of AI can only be unleashed when machines and humans coexist.

Reinforcement learning and distributed learning techniques are resulting in more adaptive and flexible systems. Meaning by 2022, businesses will be able to manage more complicated business circumstances utilizing artificial intelligence. Artificial intelligence models will be at the forefront of business strategy in the coming year. Companies will see a steeper slope of development.

This is mainly because artificial intelligence and machine learning models have become the norm. Thus, spreading artificial intelligence to every department and touching every business function. It is predicted that artificial intelligence will become more widely adopted in a variety of areas, particularly in healthcare, retail, manufacturing, and finance.

Blockchain Will Be Used More for Data Security

Blockchain is one of the most secure data protection technologies. The rapid advancements in digital technology have also introduced new challenges around data security. Organizations need to secure their data by implementing strong authentication and cryptography key vaulting mechanisms.

Blockchain is getting popular for ensuring secured transactions with minimum effort. With no need to depend upon a third party, transactions are directly approved by the network of peers. It allows users to store encrypted data on a secure, decentralized network.

This makes data sharing and auditing much easier while preventing any unauthorized access. eCommerce businesses have started using blockchain for their online transactions, but it has also found applications in other domains, including healthcare and security.

The technology is evolving new opportunities to disrupt business services and solutions for consumers. In the future, this technology will emerge with evolving global services in various sectors as the front-runner.

Also Read: Top 5 Prediction for the Future of IoT and Mobile App Integration

With the rise of the Internet-of-Things (IoT), the volume of data is increasing exponentially, thus creating a potential threat to its security. Blockchain will be a good solution for this problem as it is considered to be tamper-proof and hacker-proof. In addition, blockchain can also provide anonymized digital identities to IoT devices and enable sharing data between them.

Higher Adoption of Business Intelligence Tools

Industries, including manufacturing, banking & finance, consumer & retail service, will increase the adoption of business intelligence tools and technologies in 2022 and beyond. This is because these tools transform the way organisations approach data analytics.

Business intelligence is already bringing changes in multiple sectors, including marketing, consumer services, customer experiences, and the entire eCommerce segment. The value of the global business intelligence and analytics software market is expected to be $17.6 billion by 2024.

Business intelligence tools make big data more available for use as they decrease the level of computation and expertise required to interpret data. Even if users are not from the IT or data mining background, they can still execute analytical functions such as exploring data sets or performing data-mining tasks. The only prerequisite required is to know how best to use these tools.

Final Thoughts

With such promising trends and many more upcoming ones, big data is undoubtedly all-set to revolutionize multiple business sectors, processes, and public infrastructure in general. The data analytics market is constantly expanding. To remain relevant, businesses must embrace these big data trends for 2022. Businesses need to start investing in these latest technologies if they wish to maintain a competitive edge over their competitors. Embracing change is the only way for businesses to flourish in the future, remain competitive, and grow in this rapidly changing technological landscape.