Retrofit EV powertrain market seen topping $109.78B by 2030
The automotive retrofit electric vehicle powertrain market is projected to surpass $109.78 billion by 2030, driven by government electrification policies, demand for lower-cost conversions and sustainability goals. Batteries are expected to remain the biggest segment, while Asia Pacific and China lead regional growth.
Why it matters: - Retrofit EV powertrains offer a lower-cost path to electrification for vehicle owners that want to avoid buying new EVs. - The market could exceed $109.78 billion by 2030, making retrofit conversion a meaningful slice of the wider auto supply chain. - The category also supports emissions cuts by extending the life of existing vehicles.
What happened: - The Business Research Company published its Automotive Retrofit Electric Vehicle Powertrain Global Market Report 2026, covering market size, trends and a 2026-2035 forecast. - The report projects the retrofit EV powertrain market will reach about $109.78 billion by 2030. - The broader power train and power train parts market is expected to approach $635 billion by 2030. - The transport industry sector is forecast to reach $9,400 billion by 2030.
The details: - Government support is a major growth driver, including stricter emissions standards, EV adoption targets, tax incentives, subsidies and retrofit approval processes. - The report says that policy support is expected to add about 2.8% annually to market growth. - Demand for affordable conversion options is projected to contribute about 2.4% annual growth. - Sustainability-focused use cases are expected to add around 2.3% to yearly growth. - Market components include conversion kits, electric motors, batteries, controllers, chargers and other parts. - Batteries are forecast to hold 38% of the market in 2030, or about $42 billion. - Battery growth is tied to lower lithium-ion costs, better battery management systems, higher driving-range demand and modular retrofit battery packs. - By vehicle type, the market spans two-wheelers, passenger vehicles and commercial vehicles. - By retrofit type, the market is split between battery electric vehicle retrofits and plug-in hybrid electric vehicle retrofits. - The report estimates the component segments will add more than $36 billion in value by 2030. - Batteries are projected to add $14 billion, electric motors $9 billion, controllers $5 billion, conversion kits $4 billion, chargers $2 billion and other parts $2 billion.
Between the lines: - The market remains highly fragmented, which suggests room for specialized retrofit providers and new entrants. - The top 10 companies held only 0.05% of total market revenue in 2025. - Regulatory compliance, vehicle homologation and EV safety standards remain real barriers, even as retrofit demand grows. - Competition is increasingly centered on modular systems, power electronics, energy efficiency and smart power management. - In-wheel motor systems are emerging as a notable retrofit technology because they can preserve vehicle performance while reducing emissions. - BEDEO introduced Reborn Electric Icons in April 2024, a classic-car retrofit system using proprietary in-wheel motor technology, a 75-kWh battery, fast-charging capability and a scalable design.
What's next: - Asia Pacific is forecast to lead the market in 2030 with $44 billion in value, up from $32 billion in 2025. - China is projected to be the largest country-level market at $23 billion in 2030, up from $17 billion in 2025. - Both regions are expected to grow at a 7% CAGR. - Future growth will likely depend on charging buildout, local retrofit ecosystems, battery recycling and second-life battery applications. - Companies are expected to keep investing in AI-driven powertrain management, retrofit infrastructure and turnkey conversion platforms.
The bottom line: - Retrofit EV powertrains are moving from niche to meaningful scale, with batteries, policy support and lower-cost conversions doing most of the heavy lifting.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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