5 Emerging Big Data Trends Shaping Business, Health, and Climate in 2021

In enterprises, the importance of big data is increasingly recognized, and this guide provides trend insights for readers.

According to official statistics, the big‑data market will exceed $10.3 billion in 2023, and in 2021 the average person generated about 1.7 zettabytes of data.

Big data continuously influences organizations and the world at large.

Key Trends Expected in 2021

1. Augmented Analytics Becomes Mainstream

Observers of the big‑data field have noted the rise of digitalization and augmented analytics. The market is growing rapidly, with daily generation of up to 463 exabytes and a projected 185‑fold increase over the next five years.

Handling and interpreting such massive datasets is a major challenge. Augmented analytics leverages machine learning and artificial intelligence to automate data preparation, cleaning, sharing, and analysis, turning massive raw data into granular, analyzable subsets.

Gartner predicts that by 2025 the augmented analytics market will grow at a compound annual growth rate (CAGR) of 31.2 % and become a driving force for business intelligence in 2021.

2. Convergence of Big Data and Blockchain

The recent surge of Bitcoin and other cryptocurrencies has renewed interest in blockchain. As awareness and adoption of crypto rise, big data and blockchain are increasingly intertwined.

This combination ensures that network architectures become tamper‑resistant, making data more secure, and provides superior data structures that expand analytical possibilities.

In essence, merging blockchain with big data makes data easier to read and far more secure, eliminating many previous data‑security nightmares.

3. Growing Emphasis on Knowledge Graphs

Gartner lists knowledge graphs among the top emerging technologies, bridging the gap between humans and machines. As datasets expand, they become harder to analyze; knowledge graphs add contextual links and semantic metadata, simplifying analysis, integration, sharing, and unification of data.

In the Resource Description Framework (RDF), knowledge graphs provide a framework for representing diverse data types with interoperability and standardization.

According to Dataversity, knowledge graphs help capture diverse concepts, standardize data classification, and reveal relationships through unified data capture, thereby simplifying big‑data analysis and presentation.

4. Big Data Drives a Health Revolution

A data‑driven health revolution is emerging, especially in the wake of the COVID‑19 pandemic, which demands advanced technological solutions.

Google DeepMind’s AlphaFold project, a deep‑learning breakthrough, predicts protein 3‑D structures from amino‑acid sequences, solving a 50‑year‑old biology challenge and outperforming over a hundred other research teams.

This advancement promises transformative impacts on drug discovery and treatment of diseases such as cancer, dementia, and infectious illnesses.

5. Climate Change Relies More on Big Data

Climate change remains a top global challenge. In 2021, stakeholders will increasingly use data to monitor climate impacts and guide actions.

Big‑data analytics can collect real‑time information, assess responses to climate initiatives, and gauge public discourse, enabling more effective climate strategies.

Consumers and investors can also leverage data insights to understand the climate impact of products, leading to more informed purchasing decisions.

The article does not cover detailed technical aspects of big data, but it is clear that 2021 will see more practical applications of big data to solve pressing human problems.

Readers are invited to share their thoughts in the comments.