The Top Ten Big Data Analytics Trends and Projections for 2022

Big data and analytics (BDA) is a critical resource for public and private enterprises and healthcare institutions in the fight against the COVID-19 pandemic

Fremont, CA: Organizations can now track and analyze volumes of business data in real-time, thanks in large part to the evolution of cloud software, and make the necessary adjustments to their business processes.

AI will Continue to Advance, but Humans will Remain Essential

Gartner® stated earlier this year that "smarter, more responsible, scalable AI will enable better learning algorithms, interpretable systems, and shorter time to value."

Business Intelligence will Increase Technology, Business Services, Consumer Services, and Manufacturing

According to Dresner's business intelligence market study 2021, organizations in the technology, business services, consumer services, and manufacturing industries have the highest planned increases in business intelligence tool adoption in 2022.

Predictive Analytics is Becoming More Popular

Predictive analytics is being used by businesses to forecast potential future trends. According to Facts & Factors, the global predictive analytics market is growing at a CAGR of around 24.5 percent and is expected to reach $22.1 billion by the end of 2018.

Cloud-Based Analytics Solutions will be Required

Companies seeking to get the most out of business intelligence will shift to cloud-native solutions as legacy analytics solutions fall further behind constantly evolving cloud-native solutions.

Self-service Analytics Will Become Even More Important in the Field of Business Intelligence

Companies are looking for self-service data analytics solutions to make more fact-based daily decisions.

By 2022, the Global Business Intelligence Market Will be Worth $30.9 Billion

The global business intelligence market is expected to reach $30.9 billion by 2022, according to Beroe, a leading provider of procurement intelligence. The key drivers are:

• Big data analytics.

• Demand for data-as-a-service.

• Personalized, self-servicing BI capabilities.