Market Trends of Autonomous Data Platform Industry
This section covers the major market trends shaping the Autonomous Data Platform Market according to our research experts:
Retail Vertical is Expected to Register a Significant Growth
- With the growing use of the Internet, the retail vertical has become more customer-centric. Advancements in technologies have also made this vertical witness the accelerated changes in consumers’ behavior. Consequently, the autonomous data platform has become an essential part of the retail vertical, assisting retailers to attain improved customer loyalty in the highly competitive market. The platform helps retailers track customers’ shopping journeys in real-time, thus enabling retailers to understand and address their customers’ needs and requirements.
- Big data powers AI, and so it follows that AI would continue to find its way into the retail & consumer goods industry. Many big data companies globally claim to assist marketers, retailers, and eCommerce companies in managing their data so that it would allow them to personalize customer engagement, forecast inventory, and segment customers in the region.
- MapR Technologies is offering an Autonomous Data Platform, which helps retailers store, integrate, and analyze the wide variety of online and offline customer data e-commerce transactions, point of sale (POS) systems, clickstream data, email, social media, and call center records - all in one central repository. Walmart is experiencing a digital transformation. It is in the process of developing the world’s most extensive private cloud system, which is supposed to have the capacity to manage 2.5 petabytes of data every hour.
- According to IBM, 62% of retailers report that the use of Big Data is giving them a competitive advantage. It is expected that the industry will witness significant growth in the adoption of Big Data technology over the forecast period, thereby positively impacting the Autonomous Data Platform market’s growth.
- The retail sector needs a strong autonomous data platform to collect different data types, including structured and unstructured, from various sources in real-time. The significant challenges faced by this vertical include the demand for omnichannel experience and the tracking of consumers in real-time. As autonomous data platforms and services help efficiently address these challenges, their adoption by retailers is expected to increase in the coming years.
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North America to Hold the Largest Market Share
- The extensive penetration of the Internet and mobile devices in North America has created possibilities for enterprises to reach out to channel partners, clients, and other stakeholders in the region. The widespread use of mobile devices and social media platforms to connect with business partners and clients for giving customized content as per the business necessities of clients has prompted businesses to embrace autonomous data platforms and services.
- American multinational corporation, Intel is finding meaningful value in big data. The firm uses big data to develop chips quicker, recognize manufacturing glitches, and inform about security threats. By adopting Big Data, the firm has been able to facilitate predictive analysis and save around USD 30 million on its Quality Assurance spend while still increasing quality. The White House has also invested around USD 200 million in big data projects. The country also has a huge number of professionals in the studied market, which offers a vast potential to grow over the forecast period.
- The US retailer’s growth is expected to foster their investment in the supply chain management and are rigorously trying to enhance the customer experience. Big data applications and Autonomous data platform can help them in achieving both. Customers spent USD 601.75 billion online with U.S. merchants in 2019, up 14.9% from USD 523.64 billion the prior year, according to the U.S. Department of Commerce quarterly ecommerce figures released, and that was a higher growth rate than 2018, when online sales reported by the Commerce Department rose 13.6% year over year. As a result, the use of big data and hence Autonomous data platform is also expected to rise significantly among the US retailers.
- Companies focus on offering the most reliable end-user experience and providing the best services by using machine-learning technology-based software and services. They leverage the autonomous data platform to analyze customer-related data and to find parameters such as customers' buying behavior, seasonal demand, and product demand. With the advent of independent data platforms, marketers can centralize customers’ data from different sources at one platform, thereby saving hours of integration work.
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