Analytics providers must introduce more secure, cost-effective solutions that are easy to use
The exponential growth of structured and unstructured data from various sources is expanding the global market for big data analytic solutions. The capability of big data technologies and platforms to scale down huge blocks of data and deliver real-time insights that enable fast and efficient decision-making is a key factor fueling demand.
New analysis from Frost & Sullivan, Innovations in Big Data Analytics, finds big data analytics will gain widespread acceptance as enterprises use the unified view of enterprise information it offers to successfully synchronize financial and operational details. Big data analytics developers will find lucrative opportunities in logistics management, retail customer behavior tracking, collaborative supply chain management, connected car applications, smart energy management, and fraud detection in banking and insurance.
"The convergence of various technologies within and outside the information and communication technologies domain to create advanced applications for several markets is boosting the uptake of big data analytics globally," noted Frost & Sullivan Technical Insights Senior Research Analyst Swapnadeep Nayak. "Future solutions may even integrate sophisticated technologies such as artificial intelligence, natural language processing, and biometric systems to offer machine learning ability that derives advanced intelligence."
However, security concerns surrounding big data analytics, the high operational and implementation cost of these technologies, and the complexity of integrating the solutions with existing data storage platforms can limit the use of big data analytics among companies globally.
"Manufacturers should enhance the security of big data by modifying the technical architecture, changing operational techniques, and implementing standardization initiatives," advised Technical Insights Research Analyst Debarun Guha Thakurta. "To combat the high operational and implementation cost of current solutions, market participants must also focus on developing cost-efficient models that are easy to operate such as big data analytics in cloud platforms. Besides these measures, improving the skill levels of data scientists by introducing technology convergence-related courses that cover applications of big data analytics across verticals will be crucial for global market development."