Big Data Security Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)

Market Overview

The Big Data Security Market was valued at USD 14.90 billion in 2020 and is expected to reach USD 38.23 billion by 2026, at a CAGR of 17% over the forecast period 2021 - 2026. Security is a major concern that restricts enterprises to opt for Big Data deployments either on-premise or hosted on the cloud or virtual environments.

• With data being routed through a circuitous path, from a data source (such as CRM, sensors) to data storage and to the analysis stage, the Big Data environment is vulnerable in various ways and is a valuable target for intruders.
• Especially with the advancements and progressions in technology even the cybersecurity attacks are becoming sophisticated and complex day by day, shunning all the traditional security tools, leading to the need for advanced protection techniques such as Big Data security.
• Although enterprises are deploying Big Data platforms using the Hadoop open source framework or other sources, the frameworks lack comprehensive security plans. The inherent mechanisms have limitations that may not be secured enough just by data encryption. This demands the security of Big Data in the enterprises.

Scope of the Report

Big data security is the aggregate term for all the measures and tools used to safeguard and defend both the data and analytics processes from attacks, theft, or other malicious activities that could harm or negatively affect them. Much like other forms of cyber-security, the big data variant is involved and concerned with attacks that originate either from the online or offline spheres.

Report scope can be customized per your requirements. Click here.

Key Market Trends

High Demands for Data Security in Manufacturing Sector to Drive the Market Growth

• Manufacturing remains a critically important part of the world’s economic engine, but the roles it plays in advanced and developing economies has shifted dramatically. Big Data is essential in achieving productivity and efficiency gains and uncovering new insights to drive innovation. 
• Government across regions, like Germany, US, China, and India are focusing on smart manufacturing techniques by increasing automation and industrial control systems (ICS) (like SCADA, DCS, PLCs). These techniques create a connected, automated environment and increase the operational efficiencies by making use of data from sensors and other industrial control devices.
• The same industry trends that make manufacturing more streamlined such as the Internet of Things (IoT) and Bring Your Own Device (BYOD) also increase exponentially the potential for cyber attacks to occur. Such attacks, whether through cyber espionage or distributed denial of service (DDOS) and Web application attacks, can wreak havoc on a manufacturing company’s reputation, operations and bottom line, not to mention the consequences that arise if the equipment is compromised and employees’ lives are put at risk. If the breach is severe enough, a company might never regain losses, a fate made all the more painful if the fault lies with the manufacturer itself for not taking appropriate data security measures.
• The cybersecurity risks to the manufacturing sector include everything from operational downtime to physical damage, product manipulation and the theft of intellectual property and sensitive data. Although the growth in the industrial 4.0 practices across manufacturing industries provides more scope for the Big Data analytics over the forecast period, the security threats are reported to be the major concerns for the manufacturers. The aforementioned factors may discourage companies to incorporate digital capabilities, thus creating scope for the Big Data security solutions.

To understand key trends, Download Sample Report