How Big Data Can Build Your Next Electric Motorcycle

Sep 30, 2021

Big data is playing a critical role in the rising popularity and growth of the electric motorcycle market.

big data in electric motorcycles

In the automotive sector, big data is making huge waves. What’s notable is that these changes are not only applicable to your regular sedans. In fact, they are more notable for niche vehicle markets, including electric motorcycles . The use of big data and artificial intelligence (AI) is paving the way for creating massive breakthroughs, particularly in building the next big thing in electric motorbikes.

The Role of Big Data in Electric Motorcycles

If you think about it, electric cars are not a novel idea, but the use of big data and AI have considerably impacted the sector. As many are now shifting to a more sustainable option in commuting, many vehicle manufacturers are following the lead of Tesla in building electric vehicles. 

In the electric motorcycle market, growth is particularly palpable. In 2020, its market size reached US$30.23 billion. It is estimated to grow up to US$41.06 billion by 2028, with a compound annual growth rate of 3.09% from 2021 to 2028

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Traditionally, electric motorbikes have had a slow start. But, recent technological advancements are fanning the growth. And big data and AI have huge roles to play. Here are some ways how big data can build your next electric motorcycle:

1. Development of Safety Features

In recent years, the automotive industry has invested heavily in developing advanced driver-assistance systems (ADAS). However, only a few have ventured into applying the concept to motorcycles. With the advent of big data, it’s no longer surprising to see an advanced warning system specifically made for motorcycles. This protection system can incorporate object detection and camera vision to help alert drivers of potential road risks. 


Evoke Motorcycles’ ECU v2.0, for one, can receive tons of critical information from the sensors installed on the EV, allowing heightened safety controls and promote a unique riding experience. 

2. Personalization of Technology

The use of technology in transportation is also critical in ensuring vehicle personalization. Big data can help provide a personalized riding experience that is tailor-made for each individual. With AI, the motorcycle can adjust accordingly to the rider’s driving style, including adjusting handlebars, seating cushions, and even foot pegs. Through cloud data, the motorcycle can update and learn from your riding habits and style. 



In this sense, you may notice that big data in electric motorcycles means that your bike grows and changes along with your driving experience. Big data can tell you what necessary upgrades you may need to achieve the best riding experience. 

3. Transportation Technology = Less Pollution

One of the biggest strengths of big data and AI is its immense contribution when it comes to reducing pollution. Aside from decongesting the roads, big data in electric motorcycles can help dramatically decrease the number of carbon emissions from vehicles on the road. As transportation technology improves, there will be less pollution as both riders and EV manufacturers can study the data to improve systems. 


With safety, personalization, and pollution control, big data in electric motorcycles can become an invaluable concept in the automotive sector. It can help EV manufacturers develop reliable and cost-effective solutions. Electric motorcycles are on the rise, and big data will continue to contribute to its growth and stability in the market. 



If you’re ready to switch to an electric motorcycle, please explore our product offerings .


For more remember to visit Evokemotorcycles.com



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