Twelve emerging technologies with considerable financial momentum have been identified by recent research by the Boston Consultancy Group (BCG) and the National Association of Software and Services Companies (NASSCOM). Autonomous analytics, augmented and virtual reality, autonomous driving, deep learning, computer vision, distributed ledger, smart robotics, space technology, sustainability technology, edge computing, sensor technology, and 5G/6G are some of these. The “Biggest Bets” are now referred to as these.
The analysis predicts that these 12 technologies will fail in a variety of ways, creating way for significant bets that are industry- and location-specific. APAC consumers are more likely to be interested in 5G/6G technologies, sensor technology, and smart robotics than consumers in North America and Europe who are betting on advances like autonomous analytics. By 2030, the majority of buyers of technology anticipate that between 70 and 80 percent of their expenditures will go toward emerging technologies.
Private tech capital growth in APAC is being led by India, which is up 31% from the region as a whole (11%). The two verticals receiving the most funding currently are healthcare and transportation, with technology, BFSI, and telecom coming in second and third, respectively.
“Today, organisations across all sectors are based on rapidly evolving technologies. It allowed them to overcome the unprecedented challenges of the digital era and establish a competitive edge, according to NASSCOM President Debjani Ghosh.
Another NASSCOM study indicated that due to higher productivity, better customer experiences, and a shorter product development cycle, tech buyers expect the percentage of emerging technology to quadruple over the next 4-6 years.
Deep learning, edge computing, 5G/6G, and autonomous analytics will be the top business objectives for IT buyers. These are but a few illustrations of the key technologies. However, regional and technological supplier preferences vary for technology companies. Big companies are diversifying their bets by focusing on both technologies with established use cases (5G/6G) and investing in developing technologies to gain a leading position, whereas mid-size companies and digital firms are selective on big bets, focusing either on a small number of emerging areas or going deep in select technologies (Deep learning and Computer Vision).
