
India's EV growth is significantly lower than top 10 countries
India's
electric vehicle
(EV) growth is significantly slower than the top 10 global standouts, according to a recent report by Intelsense.
As per the FY24 figure, the
EV growth in India
was 27 per cent (YoY), significantly slower than the top 10 global standouts. India's
EV Market Share
was about 2-3 per cent of new car sales in 2024, well below the 5 per cent average of the top 10 nations.
However, the report adds, India although not in top 10 in terms of growth globally but it falls just outside the top 10, and is the fastest-growing major large market.
At current pace, India ranks 11-12th globally, trailing emerging leaders like Thailand, Vietnam, and Mexico.
Penetration of EV remains significantly lower compared to top 10 nations, a factor that could hinder the country's aspiration of achieving a 30 per cent EV market share by 2030.
However, the reports also mention about the India is making strides towards its 2030 goal, with a steady increase in EV registrations and charging infrastructure.
EV sales
in India rose 27 per cent to reach 1.94 million units in 2024, mainly driven by two-wheelers and three-wheelers, which account for the bigger share of the market.
In the four-wheeler segment and
passenger vehicle
,
Tata Motors
, Hyundai, Mahindra and MG are the top players in the Indian market. However, they have not met the expectations in terms of increased market share of new 4-wheelers along with EV infrastructure like battery and charging stations.
Hero,
Ola
and TVS dominate the two-wheeler and three-wheeler segment in the EV sector.
The report suggests that, India's growth in the EV sector remains strong in absolute numbers, but there is a need to accelerate more to reach tipping points.
One of the major problems faced by India is that there is about 95-100 per cent reliance on
China
and other East Asian countries like South Korea and Japan for critical EV battery materials.
In order to deal with this, India is working towards the search of lithium Reserves. As of now, 5.9 million tonnes of lithium inferred in Reasi, J&K, which is one of the top 10 global reserves by quantity. There are Additional geological finds in Karnataka, Himachal Pradesh, Uttarakhand, Jharkhand, and Rajasthan as well.
Additionally, there are various home grown Refining Projects such Lohum commissioned India's first battery-grade lithium refinery (1,000 tpa) in March 2025. Along with, Vardhaan Lithium partnering with Maharashtra govt to build a 60,000 tpa refinery near Nagpur (Butibori).

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


India Today
25 minutes ago
- India Today
FDI slippage worry
BEHIND THE NET FDI SLIDEHigh repatriation: MNCs take their investments back to their home country after earning returns through the automatic route after a three-year lock-in period, a share buyback and remittance of assets like proceeds from shares and securitiesExperts say there is a trading mentality among foreign investors rather than a commitment to long-term capital formationThis 'inward orientation' has been promi-nent especially after the global financial crisisThe multitude of regulations that companies need to comply with in India also make it tough to do businessOutward FDI: More Indian companies are expanding and diversifying by investing abroad, aided by the Overseas Direct Investment or ODI guidelines liberalised in 2022


Time of India
36 minutes ago
- Time of India
India's vision to become a $30 trillion economy by 2047 by focussing on multimodal logistics across road, rail, port and air networks on a single digital platform
Dr. Prashant Prabhakar Deshpande has post-graduated in Economics with a Gold Medal in 1976 and was awarded a Ph.D in Social Sciences from Nagpur University in 2007. Introduction The high cost of logistics due to poor infrastructure and efficiency is said to be on the radar of the Indian Policy makers for the past few years. Taking note of this concern, Budget 2025 underlined that Supply Chain & Logistics are fundamental to all the 4 major engines of growth viz. Agriculture, MSME, Investment & Exports. Higher cost in this sector has been considered the biggest hurdle in India's aspirations to become a hub of global manufacturing. Changes are therefore being planned to further fuel India's growth re-affirming India's position as the fastest growing major economy in the world. India's vision to become a $30 trillion economy by 2047 With an aim to become a $30 trillion economy by 2047 Indian government has been laying the groundwork for an ambitious transformation of its logistics ecosystem with a focus on reimagining infrastructure development to create a smart, interconnected logistics network that can: Dramatically reduce transport costs; Enhance supply chain efficiency, and; Support sustainable and equitable economic growth. Nations's current freight logistics scenario Current Scenario: Road transport: India's freight logistics model is heavily skewed towards road transport accounting for nearly 60% of the cargo movement. Although the model is critical for last-mile connectivity, it is considered economically and environmentally inefficient for long-haul freight. Rail Transport Rail transport, although inherently safer and more cost-effective for bulk goods, carries just 25% of the total cargo; Inland Waterways: Inland waterways although offer vast untapped potential, at present remain grossly underutilised. The government feels this scenario keeps the logistics costs in the country at a staggering 14–18% of GDP, almost double that of the developed economies, the resulting inefficiency acting as a drag on the manufacturing competitiveness and export agility. Government's National Master Plan envisioning multimodal logistics The government in response is reportedly driving a Policy and Infrastructure Overhaul anchored by the PM Gati Shakti National Master Plan envisioning multimodal logistics. It must be noted that it is for the first time that National Infrastructure Planning is being executed in a coordinated, data-backed manner: Minimising overlap, and; Enabling targeted investments where they are needed most. Progress under the National Master Plan Railways: Indian Railways, one of the largest players in the transformation, has accelerated capacity expansion along high-density corridors since 2014 fast-tracking strategic projects linking ports, manufacturing clusters, and mining belts. The commissioning of Dedicated Freight Corridors (DFCs) on both the Eastern and Western routes is said to be already delivering results: Improving freight speed, and; Freeing up existing tracks for faster passenger train movement. Simultaneously: Multi-modal logistics parks are being developed to serve as integrated hubs for road, rail, and port connectivity. These centres are envisioned as the future-ready logistics engines of the economy: Cutting down cargo handling time; Optimising warehousing, and; Streamlining inventory flow. Additional features include: Digital freight tracking; Automated customs processes, and; Climate-resilient infrastructure. Technology too is said to be reshaping logistics with: Artificial Intelligence with the computational systems to perform tasks typically associated with human intelligence such as, learning, reasoning, problem solving perception & decision making, predicting freight flows; with the computational systems to perform tasks typically associated with human intelligence such as, learning, reasoning, problem solving perception & decision making, Blockchain , a distributed ledger with growing lists of records that are securely linked together via cryptographic hashes transforming cross-border documentation, and; , a distributed ledger with growing lists of records that are securely linked together via cryptographic hashes and; GPS-based cargo tracking standardising visibility and accountability across the value chain. It seems, it has been realised, digitisation no longer is a choice but is the backbone of efficient, sustainable logistics. Importance of Reform in human capital & governance However, human capital and governance reform are considered equally vital to maintain momentum ensuring: A skilled logistics workforce; Uniform rules across states, and; Faster digital approvals. Epilogue The government's stated goal is to bring logistics costs down to 12% of GDP by 2030 and aligning it with the global standards of 8% or less by 2040. It is opined, achieving this, will not only reduce operational costs for businesses, but also: Support exports; Improve the ease of doing business, and; Enable inclusive employment generation in Tier-II and Tier-III cities. Building upon transformational initiatives like the PM Gati Shakti, the National Logistics Policy (NLP), Logistics Efficiency Enhancement Programme (LEEP), development of Dedicated Freight Corridors (DFCs), Bharatmala Pariyojana, Sagarmala programme, formulation of the National Rail Plan (NRP), Multi-Modal Logistics Parks, National Infrastructure Pipeline and Jal Marg Vikas Project, the Government has been introducing cohesive policies that are aimed at reducing logistics costs. It is opined this strategic focus demonstrates government's stronger commitment to tackling long-standing challenges such as: Fragmented networks; Underdeveloped infrastructure, and; Underuse of technology. Aligning logistics reforms with economic planning is said to make Budget 2025 a crucial turning point in India's effort to boost global competitiveness and drive sustainable growth. As India charts its path towards its Centennial economic vision, logistics infrastructure will be the foundation. It is however opined, to truly realise this vision, the infrastructure: Must be smart; Sustainable, and; Synchronised. It is opined the Policy & government's resolve in its implementation are steering India in the right direction. Facebook Twitter Linkedin Email Disclaimer Views expressed above are the author's own.


Mint
39 minutes ago
- Mint
We are all stuck in a pyramid scheme fuelled by AI FOMO
Gift this article Here is what I recently read about a company called and perhaps you did too? Here was a $1.5 billion company that had promised to make app designing as simple as 'ordering a pizza" using an AI environment called Natasha. Apparently, the company began to fall apart in 2025 because of a revelation that Natasha was not AI at all and was actually 700 Indian engineers madly typing away. This made me laugh only because it dug up a memory of a video or a cartoon in which we go to the ATM, press buttons expecting high-tech delivery of cash but meanwhile there is someone behind the wall in a safari suit whose manly arm comes out of the slot. You know, low-tech silliness. Not that bad decisions leading to the loss of employment and well-being of innocent parties is otherwise funny in any way. Here is what I recently read about a company called and perhaps you did too? Here was a $1.5 billion company that had promised to make app designing as simple as 'ordering a pizza" using an AI environment called Natasha. Apparently, the company began to fall apart in 2025 because of a revelation that Natasha was not AI at all and was actually 700 Indian engineers madly typing away. This made me laugh only because it dug up a memory of a video or a cartoon in which we go to the ATM, press buttons expecting high-tech delivery of cash but meanwhile there is someone behind the wall in a safari suit whose manly arm comes out of the slot. You know, low-tech silliness. Not that bad decisions leading to the loss of employment and well-being of innocent parties is otherwise funny in any way. Also read: Banu Mushtaq's recipe for Gobi Manchurian Life can be full of hard-to-believe-is-this-true comedy but apparently in the case of I hear that this story wasn't quite it. The truth about collapse was reportedly more about investors finding out about sketchy accounting. was allegedly not making as much money as it was telling its investors it was. You can see why someone wanted the other story to be true. The idea of Natasha on the outside being Nitesh on the inside with a BE and not just one Nitesh with a BE but many Niteshes with many BEs, is irresistible. Financial investment is also about wanting stories to be true. It might sound rational but often it is about finding some stories irresistible. When I was a girl living in a Malayali world, the news from my parents' hometowns in Kerala came in steady waves that made patterns easily discernible. One year, everyone was enthusiastically planting manjiyam to get rich, manjiyam being a kind of acacia tree. Another year we heard, everyone was into teak. I don't remember what was special about these goats but one year was Peak Goat. Emus came along much later but they did. The special feature about these get-rich-quick schemes is that it feels very democratic. It is the opposite of your uncle from the Gulf going into the forest in Wayanad with his two brand-new friends who know exactly where to find a secret cobra with a jewel on its forehead. A goat in hand is better than a snake in Kalpetta. No one got rich with manjiyam. All of last year, watchdogs of financial markets, institutional investors and other folks who are in the long game have been warning the world of 'AI washing". This can be confused with AI washing machines which promise to dissolve detergent in water before the wash cycle starts but let's not get distracted. AI washing is not so terribly exciting as technology sold as AI to excite investors who are looking for a new high. A good 69% of Indian CEOs are hopping with their legs crossed, investing in AI even though they don't quite know what it can do One of the most honest stories I have read in this context was in an Outlook Business report about IBM's 2025 CEO study. The study reportedly showed that FOMO was pushing investment in AI and that Indian CEOs were stressed because the revenue was not rolling in yet. In case that was one acronym too many, FOMO is the fear of missing out and the reason why small children hop about with their legs crossed rather than go to the bathroom. A good 69% of Indian CEOs are hopping with their legs crossed, the report says, investing in AI even though they don't quite know what it can do because they are afraid of missing out. I recently wrote a set of at-home exams and my 16-year-old nephew asked me what is stopping me from using ChatGPT. On WhatsApp I am hindered from climbing on to my soapbox and becoming a bore about how thrilling it is to be able to study in my old age. So instead I just said that in these exams, it was not about getting correct answers from texts, it is about being able to say something new. Of course, folks working in education are constantly having to warn students that generative AI can get things wrong too. And that it skips the steps of knowledge creation where humans first get things wrong, then right, then they get wonderfully inventive. Also read: When we mock the working class, the joke is on us Casey Fiesler, an information science professor at the University of Colorado, Boulder, has an excellent explanation for why ChatGPT is not a search engine. Large Language Models, she says, is not searching for data, it only has a 'statistical echo" of data. ChatGPT gets things wrong, Fiesler says, because it is 'statistically probable, linguistically fluent not verifiably accurate." I heard this explanation and felt a deep sense of déjà vu—an echo of tech bro desire that doesn't mind being wrong as long as it happens fast and sounds smooth. The being wrong part is a problem, of course. It is the fast part that I think is a bigger problem. Why is everyone dying to be so fast? Why have big companies transferred their FOMO to not letting their employees go to the bathroom? Why do CEOs not want their employees to stay at home and look at their husbands or wives? People who already have a crazy amount of money feel like it isn't enough. And like the people who worked for the pharaohs, we are stuck in their pyramid scheme. With the disclaimer that I find a hand sticking out of the ATM slot funny, I want to say, my friends, AI is beginning to feel a wee bit manjiyam. Nisha Susan is the author of The Women Who Forgot to Invent Facebook and Other Stories. ChatGPT gets things wrong because it is statistically probable, linguistically fluent not verifiably accurate. Topics You May Be Interested In