Quick Highlights:
- Matter Motor plans to expand into five electric two-wheeler segments by 2030, including scooters
- Next launches include 150cc and 125cc equivalent electric motorcycles
- Matter claims up to 25 percent real-world range improvement with rider familiarity
- All future models will share a common AI-defined hardware and software platform
Matter Motor’s Expansion Roadmap: Five Segments by 2030
Ahmedabad-based electric motorcycle startup Matter Motor has laid out an ambitious expansion plan to enter five distinct two-wheeler segments over the next 3–4 years, culminating in a foray into the electric scooter market.
Founded in 2019 by Mohal Lalbhai, Arun Pratap Singh, Saran Babu and Prasad Telikapalli, Matter currently sells a single product — the Matter Aera, India’s first electric motorcycle to feature a 4-speed manual gearbox.
From what I see, this phased expansion strategy is clearly designed to balance innovation with scalability, rather than rushing multiple products to market.
Current Portfolio: Matter Aera Electric Motorcycle
The Matter Aera sits at the center of the company’s current strategy. Priced between ₹1.83 lakh and ₹1.94 lakh, the electric motorcycle positions itself as a performance-focused alternative to conventional ICE bikes.
Key specifications of the Matter Aera include:
- 5 kWh battery pack
- 10–11.5 kW PMSM motor
- 4-speed manual gearbox
- Range of 125–172 km per charge
- Top speed of 105 km/h
- 0-60 km/h in 6 seconds
- ABS, 4G connectivity and 5-hour charging time
Rather than competing purely on headline numbers, Matter’s engineering choices signal a deeper focus on rider engagement.
What’s Next: Electric Equivalent of 150cc, 125cc and Performance Variants
According to founder Mohal Lalbhai, the company’s next immediate product will be a 150cc equivalent electric motorcycle, followed by a 125cc equivalent and a higher-performance variant.
“All of these will be built on the same platform and architecture,” Lalbhai said, adding that multiple form factors will eventually emerge from this base.
In my opinion, this modular approach could help Matter control costs while rapidly diversifying its lineup — a crucial advantage in India’s price-sensitive market.
Electric Scooters to Follow Motorcycles
Matter plans to enter the electric scooter segment only after completing its motorcycle portfolio. The same AI-defined vehicle architecture — spanning hardware, software, computing and data — will underpin scooters as well.
This staggered entry suggests Matter wants to avoid scooter-first compromises that many EV startups have made.
AI-Defined Vehicles as the Core Strategy
All upcoming Matter products will be built on a common AI-defined backbone, allowing software-led customization, over-the-air updates and data-driven optimization.
The company believes this will allow it to address the majority of India’s two-wheeler demand spectrum through a scalable platform, rather than standalone models.
Real-World Range Depends on the Rider, Says Matter
One of Matter’s more unconventional claims is that real-world EV range improves with rider control and experience, not just battery size.
Lalbhai says early customer data shows around a 25 percent improvement in real-world range as riders adapt their riding style. In some cases, users have even exceeded IDC-certified range figures.
“Once riders form a rhythm with the vehicle, range improves significantly,” he said.
I find this perspective refreshing, especially in a market obsessed with fixed range numbers that often fail in daily use.
Software, Electronics and Rider Freedom
Matter argues that giving riders control over power delivery, acceleration and riding modes builds confidence and efficiency.
“Electronics have to be the beating heart of the product,” Lalbhai said, emphasizing that motorcycles cannot simply borrow scooter-based EV architectures.
Over the past six months, Matter’s customer fleet has logged 2.1 million kilometers and 65,000 riding hours, with riders actively experimenting across terrains and weather conditions.
Trade-Offs and Learning Curve
Greater rider control also introduces variability. First-time EV users may face a short learning curve, something Matter openly acknowledges.
However, the company believes the long-term gains in efficiency, engagement and affordability outweigh the initial adjustment period.
Competitive Landscape Heats Up
Matter is entering an increasingly crowded electric motorcycle space. Ola Electric, Revolt Motors and Ultraviolette are already active, while Ather Energy is developing its Zenith platform for 125–300cc electric motorcycles.
Legacy manufacturers are also stepping in. Royal Enfield’s Flying Flea brand and Hero MotoCorp’s partnership with Zero Motorcycles signal that competition will intensify quickly.
Final Take
From my perspective, Matter Motor’s strategy stands out for its patience and platform-led thinking. By prioritizing rider control, software and scalable architecture, the startup is betting that real-world usability, not just specs, will define the next phase of India’s electric two-wheeler adoption.
If executed well, this approach could give Matter a meaningful edge as the market matures.
Frequently Asked Questions — FAQs
Q. What segments will Matter Motor enter by 2030?
- Matter plans to expand into five segments, including naked street motorcycles, another street category, adventure motorcycles, youth-focused bikes and electric scooters.
Q. What is the next product after the Matter Aera?
- The company’s next launch will be a 150cc equivalent electric motorcycle, followed by a 125cc equivalent model.
Q. What makes Matter’s EVs different from others?
- Matter focuses on rider-controlled performance, a manual gearbox, and AI-defined software architecture, rather than fixed riding behavior.
Q. How much range improvement does Matter claim in real-world usage?
- Matter says riders see up to a 25 percent improvement in real-world range as they adapt their riding style.
Q. When will Matter launch electric scooters?
- Electric scooters will come after Matter completes its motorcycle portfolio, using the same AI-defined platform.
