Distinctive features of DeepTech in Russia
Posted: Wed Jan 22, 2025 6:01 am
The table below shows that most countries focus on the development of artificial intelligence, genetic technologies, hydrogen and green energy, and quantum technologies. Russia is implementing comprehensive development of robotics and sensors, and is working on distributed registries and computing. Some areas, such as SpaceTech and the creation of innovative materials, are in the active development stage.
Investments in DeepTech are unlikely to change due to the macroeconomic environment. Most investments are currently going into artificial intelligence, but in the future they may be redistributed into other sectors, such as green energy and space.
DeepTech areas such as energy, spacetech and genetic ghana telegram database technologies are largely undervalued, although they have great potential for growth. I assume that once the period of active development in the AI sphere ends, some investments will be directed to such DeepTech startups.
As for the situation on the Russian market, due to the urgent need to develop the auto industry, we will need our own developments in the field of autonomous transport, IT, sensors, batteries. These niches will become the most attractive for investors.
DeepTech in Transport
DeepTech solutions are actively used in the transport industry. According to our data, in 2023, the volume of venture investments in transport companies reached $18.4 billion, of which $8.8 billion went to electric transport and drones. The largest deals involved companies such as Vinfast ($1 billion), Stack AV ($1 billion), Hozon and Zeekr ($960 million and $750 million, respectively), Conigital ($620 million).
In 2023, DeepTech startups in the field of transport were invested in by:
automakers: Ford Motor, BMW, Toyota, Volvo, GAC, Porsche, Stellantis. As well as the rail transport manufacturer CRRC and the auto parts manufacturer ZF Group;
major companies outside the mobility industry: VINGroup, Tencent, SK Telecom, Ocado Group, Aloi Nissay Dowa Insurance, Nvidia and Xiaomi;
state and regional investors: Mubadala, Bpifrance, California Transportation Commission, NEOM, Xin'an Intelligent Manufacturing Fund;
city agencies and development institutions such as the Singapore Land Transport Authority (LTA), the Metropolitan Transport Authority (MTA) and Innovate UK.
Investments in DeepTech are unlikely to change due to the macroeconomic environment. Most investments are currently going into artificial intelligence, but in the future they may be redistributed into other sectors, such as green energy and space.
DeepTech areas such as energy, spacetech and genetic ghana telegram database technologies are largely undervalued, although they have great potential for growth. I assume that once the period of active development in the AI sphere ends, some investments will be directed to such DeepTech startups.
As for the situation on the Russian market, due to the urgent need to develop the auto industry, we will need our own developments in the field of autonomous transport, IT, sensors, batteries. These niches will become the most attractive for investors.
DeepTech in Transport
DeepTech solutions are actively used in the transport industry. According to our data, in 2023, the volume of venture investments in transport companies reached $18.4 billion, of which $8.8 billion went to electric transport and drones. The largest deals involved companies such as Vinfast ($1 billion), Stack AV ($1 billion), Hozon and Zeekr ($960 million and $750 million, respectively), Conigital ($620 million).
In 2023, DeepTech startups in the field of transport were invested in by:
automakers: Ford Motor, BMW, Toyota, Volvo, GAC, Porsche, Stellantis. As well as the rail transport manufacturer CRRC and the auto parts manufacturer ZF Group;
major companies outside the mobility industry: VINGroup, Tencent, SK Telecom, Ocado Group, Aloi Nissay Dowa Insurance, Nvidia and Xiaomi;
state and regional investors: Mubadala, Bpifrance, California Transportation Commission, NEOM, Xin'an Intelligent Manufacturing Fund;
city agencies and development institutions such as the Singapore Land Transport Authority (LTA), the Metropolitan Transport Authority (MTA) and Innovate UK.