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MicroVision, Inc. (MVIS): Among the Best Lidar Stocks to Buy According to Hedge Funds

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We recently published a list of 11 Best Lidar Stocks to Buy According to Hedge Funds. In this article, we are going to take a look at where MicroVision, Inc. (NASDAQ:MVIS) stands against other best Lidar stocks to buy according to hedge funds.

The United Nations reports that approximately 1.35 million people die on the road annually, often due to human error. Despite various safety measures, accidents persist, driving the push for self-driving cars. These vehicles use Lidar (Light Detection and Ranging) technology to emit laser pulses, creating a 3D map of their surroundings in microseconds, allowing faster reaction times than human drivers.

According to S. N. Jha, the Principal Consultant at Fact.MR, Lidar sensors are very accurate, a fact that is driving the popularity of AVs. He writes: “Lidar sensors have been proven accurate in various autonomous driving technologies and, subsequently, are deployed in the automotive industry. Moreover, increasing expenditures in the development of numerous autonomous driving technologies are projected to stimulate the demand for Lidar sensors and scanners in multiple automotive applications in the coming 10 years.”

And there is plenty of evidence backing Jha’s assertions. Markets and Markets valued the Lidar market at $1.4 billion in 2023 and estimated that it would expand at an 18.2% CAGR between 2023 and 2029.

However, it is possible that the estimates are hugely conservative or do not expand their focus beyond autonomous cars. In recent years, some companies have developed concepts of autonomous drones and robots for use in logistics. Their goal is to get goods, especially in an e-commerce setting, from point A to B without a human in control. Besides reduced accidents, the “autonomous-ization” of logistics could lower operational costs for e-commerce companies, increase efficiency, and help them contribute positively to the battle against global warming.

ARK Invest estimates that companies in the autonomous logistics space could generate as high as $80 billion in revenue by 2026. This value may multiply exponentially to $920 billion by 2030. With all these different applications for Lidar technology cropping up, it is possible that no one is capable of doing justice to the potential of the Lidar market. We haven’t yet touched on how the increasing adoption of artificial intelligence (AI) is likely to boost demand for lidar technology. For instance, AI and large language models (LLMs) improve the processing and analysis of Lidar data, increasing the technology’s accuracy and safety.