The Indian market of domestic tractors finished the year at an uplifting point with a phenomenal 37.08 year-on-year (YOY) growth in December 2025. The total domestic wholesale volumes were 69,890 units, which is considerably higher in comparison with the volume of 50,986 units sold in December 2024.
This spurt has been blamed on strong rural liquidity in the wake of the Kharif harvest season, in addition to rising Rabi acreage in major agricultural belts.
The tractor sales data of December 2025 is an indication of a high-growth environment in the Indian agricultural machinery industry. The following is a breakdown of the performance of each of the brands:
Mahindra and Mahindra Group cemented its position selling 30, 210 units, which is a 37.20% growth. The brand managed to retain a market share of 43.23% which shows that its strong rural network and portfolio still have an appeal to the Indian farmers.
The best player in the month was John Deere, who posted a scintillating 69.26% growth year-on-year. This is because by selling 8,788 units, the company had increased its market share by 2.39%, the largest increase in the industry, indicating that the company would be shifting to the high-HP, premium segment.
TAFE Group saw sales climb to 11,033 units (up 33.75%), though its market share dipped slightly to 15.79%.
Sonalika Tractors posted 9,378 units (up 22.88%), but faced significant market share pressure, sliding from 14.97% to 13.42%.
Compact tractor specialists performed exceptionally well. VST Tillers Tractors grew by 59.15%, while Captain Tractors saw a 46.88% rise, highlighting the growing demand for small-scale mechanisation in orchards and fragmented landholdings.
Experts point to four primary drivers for this 37% industry-wide spike:
The industry has a good momentum into 2026. Whereas brands such as ACE Tractors declined (−18.26%), the overall mood is still positive.
Due to the shift of the industry towards TREM-V emission norms in the next year, the manufacturers are likely to pay more attention to technologically developed and fuel-efficient models.