This is considered to be one of the biggest funding rounds in China. As investments in the AI and data analytics space continue to grow exponentially, more and more AI and data analytics startups will eventually look at IPO as an exit strategy for private investors.
That is because such sales often result in huge profits, with returns many times bigger than the initial investment. Many AI and data analytics companies are also looking at IPO to raise capital for research and development, geographical expansion, and acquiring talent. Data analytics and AI offers a huge potential for startups to explore — not just in fueling the digital transformation but also in developing niche tools and products that help scale the AI and data analytics space to the next level.
It also becomes important for companies to maintain growth to reach profitability and scalability. Many industry experts believe that this is just the beginning, and the AI and analytics space is ripe for disruption as we can expect more IPOs and funding in the coming times.
Conference, in-person Bangalore MachineCon 24th Jun. Conference, in-person Bangalore Cypher rd Sep. Stay Connected with a larger ecosystem of data science and ML Professionals. Discover special offers, top stories, upcoming events, and more. GRIT is an evaluation only benchmark for evaluating the performance of vision systems across several image prediction tasks, concepts, and data sources.
Sign up. Amit Raja Naik is a seasoned technology journalist who covers everything from data science to machine learning and artificial intelligence for Analytics India Magazine, where he examines the trends, challenges, ideas, and transformations across the industry. The last several months, however, have seen the IPO market virtually shut down alongside a massive drop in technology stocks across the board and a wider downturn in tech investing overall, even in much smaller, earlier-stage startups.
Company data from PitchBook notes that Near had tried but cancelled a fundraise in May All in all, Near is an interesting example when considering the predicament that a lot of later-stage startups might be finding themselves at the moment. On the one hand, the company has some big customers and some potentially interesting technology, especially in light of the swing from regulators and the public toward demanding more privacy in data intelligence products overall.
Image Credits: Near. Looking out further than Near, it will be interesting to see how many others follow the company in taking the SPAC exit route, which has proven to be a controversial vehicle overall.
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