English only · Odia translation in progress

Chapter 3: The Shadow Campus


On a Tuesday evening in October, the lane behind Rupali Square in Bhubaneswar’s Saheed Nagar has the energy of a stock exchange floor five minutes before closing bell. Two hundred meters of asphalt, narrowed by illegally parked scooters, connects four coaching centers, three photocopying shops, two “mess” kitchens advertising unlimited rice-dal at Rs 2,200 per month, a bookstall with a cardboard sign reading “UPSC/OPSC Previous Year Solved — All Years Available,” and a paying-guest hostel whose ground-floor corridor has been converted into a self-study hall, rented at Rs 100 per seat per month for the privilege of sitting in a plastic chair under a tube light until midnight. The lane smells of dal fry, cheap photocopier toner, and anxiety. By 7 PM, it will be crowded with young people carrying spiral-bound test series booklets, walking between their hostel and their coaching center with the particular gait of someone who has somewhere very important to be and nowhere else they can afford to go.

This is not a university campus. There is no senate, no quad, no library with oak paneling, no convocation ceremony. There is no formal name. But this lane and the dozens like it in Saheed Nagar, Ashok Nagar, Jaydev Vihar, and the corridor stretching from Vani Vihar to Acharya Vihar constitute the most important educational institution in Odisha — an institution that awards no degrees, employs no tenured faculty, operates under no accreditation body, and serves more students than Utkal University and Ravenshaw University combined. It is the coaching campus: India’s shadow university, a platform that connects aspiration to examination through a market mechanism that the formal education system has proven incapable of providing.

In software terms, this lane is an application built on top of a failed operating system. The state built a school system. The school system could not deliver what the exam system demanded. So a private layer emerged — unplanned, unregulated, extraordinarily profitable — that sits between the student and the exam, extracting value from both sides. This chapter argues that India’s coaching industry, now valued at Rs 50,000-58,000 crore and projected to reach Rs 1.3-1.5 lakh crore by 2030, is best understood not as an education sector but as a platform — a two-sided market with the same structural dynamics as Uber, Amazon, or the App Store. Its network effects explain its growth. Its business model explains why it profits from failure. And its winner-take-all dynamics explain why it is almost impossible to disrupt from within.


The Platform That Nobody Designed

A platform, in the language of technology economics, is a business that creates value by facilitating exchanges between two or more interdependent groups. Uber connects riders and drivers. Amazon connects buyers and sellers. Google connects searchers and advertisers. The platform does not produce the core product — it provides the infrastructure that makes the exchange possible, and extracts a fee from each transaction.

India’s coaching industry is a platform. The two sides of the market are:

Side 1: Aspirants. The millions of young Indians preparing for competitive examinations — UPSC, OPSC, SSC, banking, railways, JEE, NEET, CLAT. In Odisha alone, the aspirant pool exceeds 150,000-200,000 students at any given time. These aspirants need three things the formal education system does not provide: exam-specific content that goes beyond the school curriculum, structured test practice that simulates exam conditions, and a psychological framework — hope, peer pressure, the feeling of belonging to a cohort with shared purpose — that sustains years of preparation. They bring to the platform their fees, their time, and their desperation.

Side 2: Content and faculty. The teachers, curriculum designers, test-series creators, and subject-matter experts who produce the coaching material. The best of these are IIT and IIM graduates who could earn Rs 15-25 lakh in corporate careers but earn Rs 17-40 lakh in coaching, with stars commanding Rs 3-4 crore per year. They bring to the platform their expertise, their exam-cracking methodologies, and their personal brands. The platform that assembles the best faculty attracts the most students. The platform that attracts the most students can afford the best faculty. This is the cross-side network effect that makes coaching a platform business, not merely a service business.

The third entity — the platform itself — is the coaching center: Allen, Aakash, FIITJEE, Physics Wallah, Resonance, Unacademy, and the thousands of smaller operations from Kota to Saheed Nagar. The coaching center does not teach. Its faculty teaches. The coaching center does not learn. Its students learn. What the coaching center does is hold the marketplace together: it recruits faculty, enrolls students, produces study materials, administers test series, provides physical infrastructure, and — crucially — markets success stories. The coaching center is the Amazon of aspiration. It takes a cut from every transaction. And like Amazon, it grows by making itself indispensable to both sides.

The market size is staggering. India’s coaching institute market reached approximately Rs 50,000-58,000 crore in 2024-2025 (USD 6.5-7.2 billion), with approximately 68,000 coaching institutes serving an estimated 7.1 crore students. The industry is projected to reach Rs 1.3-1.5 lakh crore by 2030-2034, growing at a compound annual growth rate of approximately 10.3-10.4 percent. To put this in context: the combined annual budget of all 23 IITs is roughly Rs 12,000-15,000 crore. The coaching industry is three to four times the size of India’s most celebrated educational institutions. It is not the shadow of the education system. It is the education system’s shadow that has outgrown the object casting it.


The Two-Sided Market: How the Flywheel Spins

The dynamics of the coaching platform become clear when you trace how value flows between the two sides.

The student side. A student in Angul whose father works at NALCO earns Rs 45,000 per month. The family decides the son should prepare for JEE. The first decision: where to enroll. This decision is not made on the basis of curriculum quality — no family can evaluate curriculum quality in advance. It is made on the basis of results — which coaching center has produced the most IIT selections. Allen reported over 17,000 selections in JEE Main and Advanced combined in 2024, with 3 of the top 10 All India Rank holders in JEE Advanced. Aakash claimed over 22,000 JEE Main qualifiers. FIITJEE reported over 12,000 JEE Main selections. These numbers are the platform’s customer acquisition tool. The family in Angul does not know whether Allen’s pedagogy is superior to FIITJEE’s. They know Allen’s numbers are bigger. They enroll.

This is the same mechanism by which a restaurant becomes popular on Zomato. The restaurant with the most reviews attracts more diners. More diners produce more reviews. The restaurant’s actual food quality matters less than the visibility that the platform provides. In coaching, the center with the most selections attracts more enrollments. More enrollments provide more revenue to invest in faculty, infrastructure, and marketing. Better faculty produces more selections. More selections attract more enrollments. The flywheel spins.

The faculty side. A fresh IIT graduate can enter coaching at Rs 40,000 per month — already double the starting government teacher salary. At five years of experience, coaching faculty earn Rs 17-20 lakh per annum. At ten years, Rs 40 lakh-plus. The star teachers at top coaching institutes earn Rs 3-4 crore per year. Resonance alone employs 200 faculty members, 70 of whom are IIT graduates. No government school in Odisha can compete with these numbers. The talent goes where the money is. The money is on the platform.

But the platform does not just attract faculty with salaries. It provides something that no individual tutor can build alone: distribution. A brilliant physics teacher operating independently from a rented room in Cuttack can reach perhaps 50-100 students. The same teacher on Allen’s platform reaches thousands. On Physics Wallah’s YouTube channel, the reach becomes millions. The platform amplifies the teacher’s value by providing access to the student side of the market. In return, the platform captures most of the value. The teacher earns Rs 20 lakh. The platform earns Rs 3,310 crore (Allen’s FY2025 revenue). This is the platform economics of extraction: the teacher does the work, the platform keeps the margin.

The cross-side network effect. This is the critical dynamic that transforms coaching from a local service into a scalable platform. More students attract better faculty (because revenue grows). Better faculty attract more students (because results improve). More students generate more data on exam patterns (because more test-takers produce richer analytics). Better data improves content quality (because question papers can be reverse-engineered with greater precision). Better content attracts more students. The effect compounds. Each side of the market makes the other side more valuable. This is why the coaching industry has consolidated around a handful of dominant players despite having 68,000 registered institutes. The platform with the strongest cross-side network effects wins. The others survive on scraps.


The Topper as Advertisement: Customer Acquisition Cost in the Aspiration Economy

In the technology industry, Customer Acquisition Cost (CAC) is the amount a company spends to acquire one new paying user. For a SaaS company, CAC might be Rs 5,000-50,000 per customer, spent on Google ads, sales teams, and free trials. For India’s coaching industry, the most powerful customer acquisition tool costs almost nothing to produce because the students themselves produce it. That tool is the topper.

Consider the economics. Ritika Rath secured AIR 48 in UPSC CSE 2024. She is from Odisha. Within days of the result, her name and photograph appeared in Apti Plus marketing materials, on Kalinga TV, in Pragativadi headlines, and across dozens of coaching institute social media accounts (whether or not she had any affiliation with them). Her success story — a young Odia woman cracking one of the world’s most competitive exams — is worth more in advertising value than any billboard campaign. One IAS officer on a poster outside a coaching center in Saheed Nagar sells more enrollments than a million-rupee advertising spend. This is not metaphor. It is a measurable marketing phenomenon.

The mechanism is survivorship bias weaponized as a business model. The coaching center enrolls 5,000 students. Five make it to the civil services. The 5,000 who enrolled paid Rs 1-2.5 lakh each — total revenue of Rs 50-125 crore. The five who succeeded are photographed, interviewed, and placed on every billboard, pamphlet, and Instagram reel the institute produces. The 4,995 who did not succeed are invisible. No coaching center advertises: “4,995 students enrolled. 4,995 did not clear the exam. Five did. Our success rate is 0.1 percent.” Instead, the advertisement reads: “5 IAS Officers from Our Institute This Year!” The denominator disappears. Only the numerator remains.

This is identical to how a venture capital fund markets itself. A VC fund invests in 100 startups. Ninety-five fail. Five produce extraordinary returns. The fund’s pitch deck features the five. The limited partners who invest in the fund see the five. The ninety-five dead startups do not appear in any slide. The coaching center operates on the same principle: market the winners, hide the base rate.

The topper is also a referral engine. In platform economics, the most efficient customer acquisition channel is word of mouth — existing users bringing in new users. In coaching, the topper serves this function. When Bhavesh Patra from Odisha scores 100 percentile in JEE Main 2024, every family in his neighborhood, his school, his district, and eventually his state hears about it. The story travels through the same social networks that carry migration information (documented in The Leaving) and political rumors (documented in The Public Mind). The family that hears the story does not process it statistically. They process it emotionally: a boy from our district, from our kind of background, cracked JEE. If he can do it, maybe my son can too. The next enrollment season, the coaching center that can claim association with the topper sees a spike in applications. The CAC for these referral-driven enrollments approaches zero.

Allen has understood this with the precision of a Silicon Valley growth team. The company spends on advertising — newspaper spreads, hoardings, digital campaigns — but its most effective marketing is the annual results announcement, where it claims “3 of the Top 10 AIR in JEE Advanced 2024” or “17,000+ JEE Main and Advanced selections.” These claims, repeated across media, function as the equivalent of Amazon’s “Most Popular” badge or Netflix’s “Top 10” list. They create a perception of dominance that drives enrollment independent of actual per-student success rates. The absolute number (17,000) overwhelms the base rate (out of 4 lakh enrolled students, the success rate is approximately 4.25 percent). For top-tier IIT seats, the rate is far lower. But nobody quotes the denominator. The platform has learned that in the aspiration economy, the numerator is the product.


The Bhubaneswar Ecosystem: Anatomy of a Local Platform

Bhubaneswar is where the coaching platform materializes in Odisha. Every major national chain maintains a presence: Allen, Aakash, FIITJEE, Resonance, Sri Chaitanya, Narayana, and Physics Wallah’s expanding Pathshala centers. These national brands compete alongside local operations — IIG Academy, Eklabya Classes, Apti Plus for civil services, and the integrated program at ODM Public School, which has tie-ups with Allen for combined school-and-coaching preparation.

But the coaching center is only the platform’s core. Around it, an entire ecosystem has formed — the support services that make the platform functional. This ecosystem is itself a significant economic engine:

Hostels and paying-guest accommodations. A student relocating from Angul, Balasore, or Koraput to Bhubaneswar for coaching needs a place to live. Hostels near coaching centers charge Rs 4,000-10,000 per month. PG accommodations run Rs 3,000-7,000 for shared rooms. In Kota, there are 3,000 hostels and 20,000 paying-guest accommodations serving the coaching population. Bhubaneswar’s numbers are smaller but growing, and the hostel business is the first entrepreneurial ecosystem that coaching creates — not in manufacturing or technology, but in housing aspiration.

Mess kitchens and tiffin services. The mess kitchen advertising “Unlimited Rice-Dal-Sabji-Egg: Rs 2,200/month” is not a restaurant. It is a caloric delivery system optimized for a specific customer: a student who needs to eat three meals a day on a fixed budget, with no time to cook and no interest in variety. The mess kitchen is the food equivalent of a coding bootcamp’s meal plan — functional fuel for a specific output. Across Bhubaneswar’s coaching neighborhoods, dozens of these operations serve thousands of students daily.

Photocopying and printing shops. The photocopy shop near a coaching center is not a generic printing business. It is a content distribution node. Previous years’ question papers, coaching center study materials (pirated or obtained from enrolled students), handwritten notes by successful candidates — these circulate through the photocopy shop like samizdat literature in the Soviet Union. A student who cannot afford Allen’s Rs 1.5 lakh fee can sometimes access Allen’s study material for the cost of photocopying: Rs 500-1,000. The photocopy shop is the coaching ecosystem’s informal redistributor, slightly democratizing access to content that the platform gatekeeps behind its paywall.

Bookstalls and stationery shops. Every coaching lane has at least one bookstall specializing in competitive exam material. Laxmikanth for Polity, Ramesh Singh for Economics, previous-year question compilations for every exam from UPSC to OAS to SSC. These stalls are curated for the coaching customer, not the general reader. They carry no fiction, no poetry, no philosophy. The stall’s inventory is a mirror of what the exam system values.

Test series vendors. Independent test series — mock exams sold separately from coaching enrollment — represent the coaching ecosystem’s most modular product. A student who cannot afford full coaching (Rs 1-2.5 lakh per year) can purchase a test series alone (Rs 3,000-15,000) and attempt self-preparation with the test series as a measuring stick. Online test series from Testbook, Oliveboard, and Unacademy have expanded this market dramatically, allowing students in Koraput or Malkangiri to access exam simulation without relocating to Bhubaneswar.

The total ecosystem — coaching fees, hostel rents, mess charges, printing, books, test series, transport — represents an estimated Rs 1,500-3,000 crore annual extraction from Odisha families. (The estimate carries uncertainty; precise state-level data is not publicly available, but the calculation from 150,000-200,000 coaching students at an average annual expenditure of Rs 1-1.5 lakh on coaching fees alone, plus ecosystem costs, lands in this range.) This is not a small-town tutoring market. It is a platform economy that has created its own geography, its own labor market, and its own infrastructure — all without any planning from the state.

The geography is revealing. The coaching ecosystem concentrates in neighborhoods that already have two attributes: proximity to CBSE schools (because the coaching customer is often also a CBSE school student), and affordable rental housing for out-of-town students. Saheed Nagar, Ashok Nagar, and the Acharya Vihar corridor fit both criteria. The coaching ecosystem’s geography in Bhubaneswar mirrors the way tech startups cluster in Bangalore’s Koramangala or San Francisco’s SoMa — not because of any plan, but because agglomeration effects make proximity valuable. Students want to be near coaching centers. Coaching centers want to be near students. Hostels want to be near both. Mess kitchens want to be near hostels. The cluster self-organizes.


The Business Model That Profits from Failure

Here is the structural truth that no coaching center will articulate in its marketing, and that most families never pause to consider:

A coaching center with a 100 percent success rate would go bankrupt.

This is not cynicism. It is arithmetic. Walk through the business model.

A coaching center enrolls 5,000 students at an average fee of Rs 1.5 lakh per year. Annual revenue: Rs 75 crore. If all 5,000 students pass their target examination in the first attempt, the center has zero returning customers next year. No dropper batches. No repeat enrollments. No “second attempt with advanced material” upsell. Revenue the following year depends entirely on acquiring 5,000 new students — a customer acquisition problem that becomes more expensive every year as the market saturates.

Now consider the actual dynamics. Of the 5,000 enrolled students, approximately 50-250 succeed (depending on the exam and the center’s quality). The remaining 4,750-4,950 students face a choice: try again, or abandon the preparation. Those who try again are the coaching center’s most valuable customers. They have already invested Rs 1.5 lakh. They have already invested a year of their life. The sunk cost makes them sticky. The coaching center offers a “repeat batch” at a discounted rate — Rs 80,000-1.2 lakh instead of the full fee. The student enrolls again. The center gets revenue from the same customer without the acquisition cost.

This is what software companies call churn reduction — keeping existing customers on the platform. In SaaS, a company’s revenue grows fastest when churn is low, because retained customers compound year over year. In coaching, the equivalent metric is the repeat enrollment rate. A coaching center where 40 percent of students re-enroll after failure has a structural revenue advantage over a center where students give up after one attempt. The industry has optimized for this: the “dropper batch” is one of coaching’s most profitable products, because it serves customers with maximum willingness to pay (they have already committed), minimum acquisition cost (they are already enrolled), and maximum psychological lock-in (abandoning the preparation means admitting the previous investment was wasted).

The product ladder extends further. After the dropper year, there is the “crash course” — a compressed three-to-six-month program that promises intensive preparation for Rs 50,000-80,000. After the crash course, there is “interview guidance” — available only to those who clear the written examination, priced at Rs 25,000-50,000. After interview guidance, there is the “optional subject” specialized coaching. Each product targets a narrower audience at a higher willingness to pay, extracting additional revenue from the same customer journey.

In platform economics, this is the lifetime value (LTV) calculation. The lifetime value of a coaching customer is not the initial fee. It is the sum of all fees paid across all enrollments, all supplementary products, and all years of preparation. For a UPSC aspirant who prepares for 3-5 years (the average is 3 years and 3 months, with 3.6 attempts before success for those who eventually clear), the LTV might be:

ProductTypical Cost (Rs)
Year 1: Foundation/comprehensive course1,00,000 - 2,50,000
Year 2: Dropper/repeat batch80,000 - 1,20,000
Year 3: Test series + crash course50,000 - 80,000
Optional subject coaching25,000 - 50,000
Interview guidance (if qualified)25,000 - 50,000
Books, study material, test series (annual)10,000 - 25,000 x 3 years
Total LTV3,10,000 - 6,25,000

The coaching center that keeps a student on the platform for three years extracts Rs 3-6 lakh from a single customer. The student who passes on the first attempt and exits is worth only Rs 1-2.5 lakh. From a pure revenue perspective, the center’s optimal outcome is: the student stays on the platform as long as possible without quite succeeding, and then eventually succeeds — generating both revenue (from years of enrollment) and a success story (for marketing to the next cohort).

This is not a conspiracy. No coaching center executive sits in a room plotting to keep students failing. The incentive structure produces the outcome without anyone needing to plan it. The business model is optimized for engagement, not outcomes. The same misalignment exists in social media platforms — Facebook’s business model is optimized for time spent on the platform, not for the user’s well-being. The coaching center’s business model is optimized for time spent in the preparation cycle, not for the student’s career outcome. The alignment between what the student needs (to pass quickly and move on with life) and what the business needs (the student to stay enrolled) is structural, and the business wins.


Kota: The Platform at Full Scale

If Bhubaneswar’s coaching lanes are a local instance of the platform, Kota is the platform at maximum density — a city-scale demonstration of what happens when network effects compound without regulation.

Kota’s coaching industry originated in an unlikely convergence. Vinod Kumar Bansal, a mechanical engineer confined to a wheelchair by a degenerative condition, began tutoring students in the 1980s. His first student cleared IIT-JEE in 1985. When the J.K. Synthetics factory closed in the mid-1990s, displaced engineers joined Bansal’s faculty, and others started their own centers. Allen, Resonance, Motion, Vibrant — the Kota ecosystem grew not from educational innovation but from industrial unemployment. Displaced factory workers became exam-preparation specialists. The platform was born from the wreckage of manufacturing.

At peak, Kota hosted 200,000-250,000 transient coaching students annually, generating Rs 6,500-7,000 crore in revenue. More recently, student numbers dropped 30-40 percent to 85,000-1 lakh students, with revenue shrinking to approximately Rs 3,500 crore — partly due to online coaching disruption, partly due to the mental health crisis that made national headlines. Early trends for 2026-2027 indicate a 20-30 percent revival in enrollments.

The Kota ecosystem demonstrates every property of a mature platform:

Winner-take-all dynamics. Among Kota’s 300-plus coaching centers, Allen dominates with approximately 4 lakh students (including its national network), revenue of Rs 3,310 crore, and a valuation of $1.8 billion. The next tier — Resonance, Motion, Vibrant — are significantly smaller. The long tail of hundreds of smaller operations survives on the overflow. This is the power-law distribution that characterizes platform markets: one or two dominant players capture most of the value, while the rest compete for margins. The dynamic is identical to how Google captures 90 percent of search, Amazon captures 40 percent of e-commerce, and a handful of coaching brands capture the majority of student enrollment. Platform economics rewards the biggest player disproportionately because cross-side network effects compound: more students mean more data on exam patterns, which means better content, which means better results, which means more students.

Ecosystem lock-in. Kota is not just coaching centers. It is 3,000 hostels, 20,000 paying-guest accommodations, mess kitchens, bookstalls, medical clinics, auto-rickshaw routes optimized for coaching schedules, and an entire local economy that depends on the transient student population. The coaching industry directly or indirectly supports the livelihoods of at least 2 lakh people in Kota. This ecosystem creates lock-in: once a student arrives in Kota, the switching cost of moving to a different city for coaching is high. The student has already secured a hostel room, registered at a coaching center, and adapted to the Kota rhythm. The platform retains the user through infrastructure, not just content.

Data network effects. This is the least visible but most powerful dynamic. A coaching center that processes 4 lakh students annually accumulates an enormous dataset: which questions students get wrong most often, which concepts produce the most confusion, which question patterns appear in which exams, how the difficulty curve of JEE has shifted over the past decade. This data allows the center to optimize its test series, refine its study materials, and predict exam patterns with increasing accuracy. A smaller coaching center with 500 students cannot generate comparable data. The data advantage compounds over time — last year’s 4 lakh students generate insights that improve this year’s content, which attracts this year’s 4.5 lakh students, whose performance data improves next year’s content. This is the same dynamic that makes Google’s search results better than any competitor’s: more users generate more data, which generates better results, which attract more users.


The Odisha Pipeline: When the Platform Extracts from the Periphery

Odisha feeds the Kota platform from the periphery. No publicly available data tracks Kota enrollment by state of origin in a consolidated form, but the pipeline’s existence is visible in train bookings, hostel registrations, and the word-of-mouth networks that carry success stories from Kota back to districts across Odisha.

The families most likely to send students: government employee households in Bhubaneswar, professional-class families in Cuttack, SAIL township families in Rourkela, and pockets of Ganjam, Balasore, and Puri where remittance income from labor migration funds the coaching investment.

The economics for an Odisha family sending a child to Kota:

ExpenseAnnual Cost (Rs)
Coaching tuition fee1,35,000 - 2,50,000
Hostel/PG accommodation60,000 - 1,50,000
Food and mess charges36,000 - 72,000
Books and study material10,000 - 25,000
Travel (2-3 trips home/year)15,000 - 30,000
Miscellaneous15,000 - 30,000
Total per year2,71,000 - 5,57,000

For a two-year JEE or NEET preparation cycle, total investment: Rs 5.5-11 lakh. For a mid-level Odisha government employee earning Rs 4.2-6 lakh per year, this is 90-260 percent of annual income. The gap is filled by savings, debt, land sales, and — in western Odisha districts — remittances from parents working in brick kilns in Andhra Pradesh and construction sites in Tamil Nadu.

The platform economics make this extraction legible. The coaching center in Kota is the platform. The Odisha family is the user paying the platform fee. The value created by the platform — the student’s education — flows to wherever the student eventually goes. If the student cracks JEE and enters IIT, the student migrates to Bangalore, Hyderabad, or abroad. The lifetime economic value of the IIT degree — Rs 8-15 crore over a career — is captured by the destination city’s economy, not by Odisha’s and certainly not by Kota’s. The coaching platform in Kota extracts fees from Odisha families and produces graduates for Bangalore’s IT sector. Kota captures the fee. Bangalore captures the lifetime value. Odisha captures nothing.

This is the same extraction pattern that the value-chain series documented for minerals: iron ore leaves Odisha at Rs 5,000-6,000 per tonne and returns as steel worth Rs 50,000-70,000 per tonne, with the value addition captured by Jharkhand, Karnataka, and international markets. The coaching industry performs the identical function with human capital. The raw material — an eighteen-year-old from Ganjam — leaves Odisha and enters the coaching platform in Kota. The platform adds “value” (exam preparation). The processed product — an IIT graduate — is sold to Bangalore’s labor market. The margin is captured everywhere except at the source.


The Mental Health Externality

Every platform creates externalities — costs that the platform’s users bear but that do not appear on the platform’s balance sheet. For social media platforms, the externality is mental health deterioration, political polarization, and attention fragmentation. For the coaching platform, the externality is measured in a unit that is difficult to write about: student suicides.

In 2023, between 27 and 32 student suicides were recorded in Kota — approximately 3 per month. Between 2015 and 2019, approximately 95 suicides were recorded, about 16 per year. The rate has nearly doubled. Nationally, 45 percent of JEE and NEET aspirants experience anxiety or depression. A study in the Indian Journal of Psychiatry found that 44.45 percent of coaching students in Kota suffered from high academic stress, compared to 3.33 percent of non-coaching students — a thirteen-fold increase. More than 53 percent of coaching students in Kota experience loneliness. Only 3 percent have visited a mental health professional.

These numbers must be handled with care. Suicide is a complex phenomenon with multiple causes, and attributing it solely to coaching pressure oversimplifies individual lives. Not every student who takes their life in Kota is driven by exam failure; isolation, pre-existing mental health conditions, family pressure, and the particular vulnerability of adolescence all contribute. [Confidence: ~75% that coaching pressure is a significant contributing factor in the majority of Kota student suicides; the remainder are likely driven by complex intersecting factors that coaching pressure exacerbates but does not solely cause.]

But the platform framing makes one thing clear: the mental health crisis is not a bug. It is a predictable externality of the platform’s business model. A coaching center that processes thousands of students through 12-14 hours of daily study, publicly ranks them by test performance, separates them from families at age 15-17, and provides no mental health infrastructure is producing psychological distress at scale. The platform’s design generates the pressure. The platform’s economics provide no incentive to alleviate it. Mental health support costs money and does not improve the one metric the platform is optimized for: exam results. From the platform’s perspective, the student’s psychological well-being is not a product feature. It is a cost center.

The Odisha connection makes this personal. When a student from Bolangir — a district where parents migrate to brick kilns so children can study — arrives at Kota and confronts weekly rankings, institute transfers for underperformers, and the isolation of being 1,200 kilometers from home with limited resources, the mental health cost falls disproportionately on those who can afford it least. The student from a Bhubaneswar professional family at least has a safety net: a phone call home is not budgeted against. The student from a labor-migration family carries the additional weight of knowing exactly what was sacrificed. The shame of failure is proportional to the scale of sacrifice.


Online Coaching: Disruption or Extension of the Queue?

Between 2016 and 2024, an entire generation of technology companies attempted to disrupt the coaching platform. BYJU’S, Unacademy, Physics Wallah, Vedantu, Testbook, Oliveboard — the ed-tech wave was supposed to democratize access, break the geographic monopoly of Kota and Bhubaneswar, and make quality exam preparation available to a student in Koraput at the same price as a student in Connaught Place.

The disruption story has been complicated, to put it gently.

BYJU’S rose to a $22 billion valuation and collapsed under the weight of aggressive sales tactics, unsustainable customer acquisition costs, and a business model that optimized for enrollment over outcomes. The company’s fall is a cautionary tale in platform economics: a platform that acquires users faster than it can deliver value eventually collapses under its own weight. BYJU’S demonstrated that in education, unlike in ride-hailing or food delivery, the network effects are weaker — a student does not benefit from other students being on the same platform in the way that a rider benefits from more drivers being on Uber.

Unacademy pivoted from free YouTube content to a subscription model to a test-preparation platform, accumulating 85,000+ educators and millions of learners. But the core challenge persisted: how do you monetize a platform where the content (video lectures) approaches commodity status? Any competent physics teacher can explain Newton’s laws. The differentiation is not in content but in structure, accountability, and peer pressure — precisely the things that physical coaching centers provide and online platforms struggle to replicate.

Physics Wallah is the most interesting case. Alakh Pandey’s journey from a YouTube channel to a $2.8 billion company with Rs 3,040 crore in FY2025 revenue demonstrates the power of content-first platform building. PW began by giving away content for free — the classic platform strategy of subsidizing one side to build the network. Once the audience was large enough, PW monetized through paid test series, offline Pathshala centers (now 120-plus nationwide), and premium courses. The Pathshala model — affordable offline centers in tier-2 and tier-3 cities — represents a genuine attempt to bring institutional coaching closer to students who cannot relocate.

But did online coaching democratize access? The answer is yes, partially, in one dimension — and no in the dimension that matters.

What online coaching did: It made content widely available at low or zero cost. A student in Malkangiri can now watch the same Polity lecture, the same Physics problem-solving session, and the same Current Affairs analysis that a student in Delhi’s Mukherjee Nagar watches. The content barrier has fallen. This is a real and significant development.

What online coaching did not do: It did not change the success rate. The total number of UPSC seats, IIT seats, or government job vacancies did not increase because content became cheaper. The same 1,000 UPSC seats are contested by more aspirants who now have access to preparation material. The same 17,000 IIT seats are contested by more students who can now access JEE content on their phones. Cheaper access expanded the applicant pool without expanding the vacancy pool. The queue got longer. The success rate stayed the same or declined.

This is the paradox of platform-driven access expansion in a fixed-supply market. When Uber makes transportation cheaper, more people can get rides, and the net outcome is positive because supply (drivers) can expand to meet demand. When online coaching makes preparation cheaper, more people can enter the exam queue, but supply (government jobs) does not expand. The result is not democratization of success. It is democratization of participation in failure. More people can now afford to enter the queue. The queue rewards the same number of people it always did. The platform grows by making the queue longer.

The numbers bear this out. According to the NSS 80th round data, 27 percent of Indian students now take some form of private coaching — 30.7 percent in urban areas and 25.5 percent in rural areas. The coaching share of household education expenditure has risen from 11.87 percent in 2011-12 to 13.53 percent in 2022-23. More families are spending more money on coaching. The number of people who clear competitive exams each year has not changed proportionally. The platform has grown. The queue has grown. The exit has not widened.


Content Commoditization and the Attention Bottleneck

Here is a puzzle that platform economics illuminates. The same Laxmikanth Polity textbook is available to every UPSC aspirant in India. The same Ramesh Singh Economics is on every bookstall. Physics Wallah’s lectures on YouTube have millions of views. Unacademy’s courses cover every subject for every exam. The information needed to clear a competitive examination is, for the first time in Indian history, essentially free.

Yet pass rates have not improved.

If the binding constraint on exam success were information — access to the right content, the right textbooks, the right lectures — then the commoditization of content should have produced a dramatic improvement in success rates as more aspirants gained access. It has not. This tells us that information is not the binding constraint. Something else is.

In platform economics, this is known as the attention bottleneck. When content is abundant and free, the scarce resource shifts from information to attention — the ability to focus, process, retain, and apply information over sustained periods. A student in Koraput now has access to the same lecture that a student in Mukherjee Nagar watches. But the student in Mukherjee Nagar is embedded in a physical coaching ecosystem that provides structure (fixed schedule, mandatory attendance), accountability (weekly tests with public rankings), peer pressure (roommates who are studying 14 hours a day), and mentorship (a faculty member who notices when a student’s performance drops). The student in Koraput has the same video on a smartphone screen. They also have WhatsApp notifications, YouTube recommendations, family obligations, the noise of the household, and no one who will notice if they stop watching.

Content was never the product coaching centers sold. Structure was the product. The coaching center provides a framework for sustained attention in an environment designed to minimize distraction and maximize output. It is the educational equivalent of a coworking space: you are not paying for the desk, you are paying for the environment that makes you productive at the desk. Online coaching commoditized the content but could not commoditize the structure. The structure remains locked inside physical coaching centers, which is why Kota has not disappeared despite millions of free lectures being available on YouTube.

This explains why Physics Wallah pivoted from online-only to Pathshala offline centers. The company that began by disrupting physical coaching ended up building physical coaching centers. The content-first strategy worked for customer acquisition. But customer retention — keeping students engaged and productive over months of preparation — required the physical infrastructure that online delivery alone could not provide. The platform learned, through its own data, that the video is necessary but not sufficient. The student needs the lane behind Rupali Square — the mess kitchen, the hostel, the peer group, the plastic chair under the tube light at midnight.


The Coaching Center as Substitute Institution

The coaching center’s deepest function is not pedagogical. It is institutional. In a state where universities have 55 percent faculty vacancies (Utkal University), where government school teacher positions go unfilled by the tens of thousands (44,433 vacancies in Odisha to be filled by 2028), where the curriculum is outdated, and where the gap between what schools teach and what exams demand grows wider every year, the coaching center has become the institution that the state failed to build.

Consider what a coaching center provides:

Structure. A fixed daily schedule. Morning classes. Afternoon self-study. Evening doubt-clearing sessions. Weekly tests. Monthly assessments. For a young person who might otherwise drift through the unstructured void between graduation and employment, the coaching center provides temporal architecture — a reason to wake up, a place to go, a rhythm to follow.

Peer group. The coaching batch is a cohort. The students in it share a goal, a schedule, a set of anxieties, and a vocabulary. They know what “Prelims cutoff” means, what “optional subject” entails, what it feels like to score poorly on a mock test. This shared experience creates community in the absence of any other community. The university hostel used to serve this function. In a state where universities have hollowed out, the coaching hostel has replaced it.

Mentorship. A coaching center faculty member who notices a student’s declining performance and intervenes — calling them aside after class, suggesting a change in study strategy, providing encouragement — is performing the mentorship function that schools and universities are supposed to provide but often do not, because the teacher-student ratio makes individual attention impossible and because many teaching positions are vacant. The best coaching faculty are, in effect, the most dedicated teachers in the country — people who chose to teach for a living and are compensated well enough to remain in the profession. That they work for Allen rather than for Utkal University is a damning commentary on the state’s priorities.

Hope. This is the most important product the coaching center sells, and the one most difficult to quantify. A student who enters a coaching center receives an implicit promise: if you work hard enough, for long enough, following our system, you have a chance. The promise is statistically dubious — the base rate of success is 0.1-2.5 percent depending on the exam — but it is psychologically essential. Without hope, the student cannot sustain the effort. The coaching center manufactures and maintains hope through motivational lectures, success story displays, and the structural fiction that the next test might be the one that proves the student belongs.

The coaching center is, in other words, a functional institution in a landscape of dysfunctional ones. It provides structure, community, mentorship, and hope — the four things that a good university provides. The tragedy is that it provides these things in service of a single outcome (passing an exam) rather than in service of broader human development (learning to think, building knowledge, developing as a person). The coaching center optimizes for the exam, not for learning. It teaches what to answer, not how to think. It builds exam-taking skills, not transferable capabilities. The student who spends three years in a coaching center and does not clear the exam exits with no degree, no credential, no transferable skill, and — often — no confidence. The institution provided structure but not substance. It is the same disease as the formal education system, repackaged in a private container with better customer service.

This is what happens when a platform substitutes for an institution. A platform optimizes for the transaction — connecting the student to the exam through content and structure. An institution optimizes for the person — developing the student’s capabilities whether or not they clear the exam. India’s coaching centers are platforms masquerading as institutions. They serve the exam, not the student. And because the exam is all that the payoff matrix rewards, the student does not notice the difference until the exam is over and the platform has nothing left to offer.


The BYJU’S Cautionary Tale: When the Platform Eats Itself

No account of coaching as platform would be complete without BYJU’S — the company that reached $22 billion in valuation and then imploded, demonstrating what happens when platform economics meets education’s stubborn realities.

BYJU’S made a classic platform error: it confused user acquisition with value creation. The company spent aggressively on marketing and sales — door-to-door sales teams selling tablet-based learning subscriptions in villages, stadium-sized advertising campaigns, celebrity endorsements — to acquire users at any cost. The strategy worked for scaling numbers: at its peak, BYJU’S claimed 150 million registered users and 7 million paid subscribers. But the company could not demonstrate that these users were actually learning or passing exams at higher rates. The platform grew without the outcome improving.

In platform terms, BYJU’S failed because it did not build the cross-side network effects that sustain a coaching platform. More users on BYJU’S did not attract better faculty (because BYJU’S primarily used recorded content, not live teaching). Better content did not produce noticeably better results (because content was already commoditized). The flywheel never spun. The company was a media distribution platform — Netflix for exam preparation — not a genuine two-sided market. When the venture capital funding dried up and the company could no longer subsidize user acquisition, the model collapsed.

The lesson for Odisha’s coaching economy: the platform dynamics that sustain physical coaching — cross-side network effects between students and faculty, data network effects from test series, ecosystem lock-in from hostels and mess kitchens — are genuinely powerful and not easily disrupted by technology. The physical coaching center is a sticky product. The student who is physically present in Saheed Nagar, eating at the mess kitchen, sleeping in the hostel, walking to the coaching center every morning, is locked into the platform in a way that a BYJU’S app user never was. The physical platform’s churn rate is structurally lower than the digital platform’s. This is why Kota survives YouTube.


The Perpetual Motion Machine

Stand far enough back, and the coaching platform reveals its most unsettling structural property: it grows by keeping the queue long, and the queue grows because the platform exists.

The causal chain:

  1. The government creates a fixed number of jobs and exam-gated seats.
  2. Demand for these jobs exceeds supply by orders of magnitude.
  3. Coaching centers emerge to help aspirants prepare.
  4. Coaching improves individual preparation, raising the competitive baseline.
  5. Aspirants without coaching fall behind, so more families invest in coaching.
  6. The coaching industry grows, making preparation more accessible (through online and offline expansion).
  7. More accessible preparation means more aspirants enter the queue.
  8. More aspirants in the queue means lower success rates.
  9. Lower success rates mean more aspirants need to re-enroll (dropper batches).
  10. Re-enrollment generates more revenue for coaching centers.
  11. More revenue allows coaching centers to expand — more branches, more cities, more online reach.
  12. Expansion makes coaching accessible to even more aspirants.
  13. Return to step 7. The loop repeats.

This is a positive feedback loop with no natural termination condition. The platform grows because the queue is long. The queue grows because the platform makes it easy to join. Neither the platform nor the queue has any incentive to shrink. The only external force that could break the loop is an expansion of the supply side — more government jobs, more exam-gated seats, or more alternative career pathways that make the exam unnecessary. None of these is happening at a pace that matches the platform’s growth.

The coaching industry is, in this sense, India’s most successful startup ecosystem. Allen’s $1.8 billion valuation, Physics Wallah’s $2.8 billion valuation, the combined Rs 50,000-58,000 crore market — these are impressive figures by any measure. If the coaching industry were a single company, it would rank among India’s largest corporations. Its growth rate exceeds 10 percent annually. Its customer acquisition is driven by the government’s own exam system, which functions as a free marketing channel. Its supply chain is composed of graduates produced by the same education system it claims to supplement. Its product — exam preparation — is in permanent demand because the underlying scarcity (government jobs) is structural, not cyclical.

But the coaching industry creates no value for the economy. This is the statement that requires the most careful examination.

A steel mill takes iron ore and produces steel — a physical product used to build bridges, buildings, and machines. The value addition is tangible: the economy has something it did not have before. A software company takes computing resources and produces applications that improve productivity or provide services. Again, tangible value creation.

The coaching industry takes families’ savings and produces… exam preparation for seats that already exist. The coaching industry does not create IIT seats. It does not create government jobs. It does not create medical colleges. It redistributes access to fixed seats among aspirants sorted by their capacity to pay for coaching. The total output of the economy — the number of engineers, doctors, and civil servants produced — does not change because coaching exists. The same 17,000 IIT seats are filled whether or not the coaching industry exists. The coaching industry determines which 17,000, not how many.

[Confidence: ~70%. This argument applies most cleanly to competitive exams with fixed seats. It is less applicable to exams like CAT or GATE where the correlation between coaching and career outcome is weaker, and where the skills developed in preparation may have broader applicability. The claim that coaching creates “no value” may overstate the case — coaching does develop problem-solving skills in some students, and the structure it provides has real psychological value. But the core point stands: the coaching industry’s primary function is redistribution of existing opportunity, not creation of new opportunity.]

From a macroeconomic perspective, the Rs 50,000-58,000 crore that families spend annually on coaching is money that could be invested in businesses, agriculture, housing, or consumption. Instead, it circulates within the coaching platform — from families to coaching companies, from coaching companies to faculty salaries and marketing, from marketing back to families in the form of aspirational stories that drive the next cycle of enrollment. The money moves in circles. The queue remains. The jobs remain scarce. The platform remains profitable.

This is the perpetual motion machine of aspiration and extraction. It runs on the fuel of family sacrifice. It produces the exhaust of broken dreams. And its most efficient output is its own growth.


What the Platform Cannot See

The platform economics lens reveals the coaching industry’s structure with precision: the network effects, the two-sided market, the winner-take-all dynamics, the business model that profits from failure. But this lens has a blind spot that must be acknowledged.

The lens cannot see the father at Bhubaneswar railway station handing his son an envelope of cash for Kota. It cannot see the mother who has not eaten meat in six months to save Rs 200 a week. It cannot see the student who studies under a tube light in a rented hostel room, sustained by the knowledge that failure means returning home with nothing to show for the family’s sacrifice. The platform framework analyzes the coaching industry as a system of incentives and feedback loops. It does not analyze the courage of the families who enter the system knowing the odds, or the dignity of the students who endure it.

The coaching industry is, simultaneously, a platform that profits from the queue and a lifeline that the queue’s participants have chosen because every other option is worse. Both things are true. The platform’s economics are extractive. The student’s decision to enter the platform is rational. The family’s sacrifice is genuine. The system’s design is hostile. These facts do not contradict each other. They coexist.

What would change the system is not the subject of this chapter — it is the subject of Chapter 8, which examines the payoff matrix. But the coaching platform’s structure suggests that the answer will not come from within the platform itself. Coaching centers will not voluntarily reduce enrollment. Online platforms will not voluntarily shrink the queue. The toppers will keep appearing on billboards. The hostels will keep filling. The mess kitchens will keep serving dal and rice at Rs 2,200 per month.

The change, if it comes, will come from outside the platform: from an economy that offers alternatives worth choosing, from an exam system redesigned to test capability rather than coaching, from a state that decides to build real institutions instead of watching private platforms fill the vacuum. Until then, the lane behind Rupali Square will remain what it is: the shadow campus of a state that forgot to build a university system that works, serving students whose families cannot afford to wait for the state to remember.


Sources

Government and Institutional Data

  • MoSPI, Comprehensive Modular Survey: Education 2025 (NSS 80th round)
  • NTA NEET 2024 Results; Medical Dialogues state-wise breakup
  • JEE Advanced 2024 Results; SATHEE/IIT Portal state-level analysis
  • UPSC Civil Services Exam 2024 Results; Kalinga TV, Pragativadi reports on Odisha candidates
  • OPSC OCS 2023 Results; Careers360, Testbook reports
  • Odisha Adarsha Vidyalaya Sangathan official data (oav.edu.in)
  • Department of Social Justice and Empowerment, Free Coaching Scheme
  • BSE Odisha, CHSE Odisha examination data

Industry and Market Reports

  • IMARC Group, “India Coaching Institutes Market Size, Industry Report 2034”
  • BW Education, “Inside India’s Rs 50,000 Cr Coaching Industry”
  • Tracxn, Allen Career Institute financial data (revenue Rs 3,310 crore FY2025)
  • TechCrunch, Physics Wallah $2.8 billion valuation (2024)
  • Free Press Journal, “Kota Coaching Hub Revives” (enrollment and revenue data)
  • Business Standard, “Drop in students impact Kota coaching” (2024)

Academic Studies

  • Pal, Bhesera, Bika (2026), “Mental Health Conditions and Suicide Among Adolescent Coaching Aspirants: Case of Kota,” SAGE Journals
  • PMC (2024), “Stress and coping strategy among coaching and non-coaching students in Kota: A comparative study,” Indian Journal of Psychiatry
  • CSES India, “What Is Wrong With Kerala’s Education System?” (coaching participation data)

News and Ground Reports

  • The Print, “Selling land, borrowing money, eating less: What UPSC coaching does to poor families” (2023)
  • The Print/NCAER, “Private coaching rise is now a prestige issue for Indian families”
  • The Quint, “29 Student Suicides in Kota in 2023”
  • ETV Bharat, “Reclaiming Education: India’s Coaching Crisis”
  • Civilsdaily, “Only 3% of Kota’s students have visited a mental health professional”

Platform Economics Frameworks

  • Parker, Van Alstyne, Choudary: Platform Revolution (two-sided markets, network effects)
  • Evans and Schmalensee: Matchmakers (platform economics)
  • Hagiu and Wright: “Multi-Sided Platforms” (platform classification)

Cross-References to SeeUtkal Series

  • Education Odisha: The Knowledge Factory (Chapter 3: The Shadow System) — arms race framing
  • The Leaving — Migration pipeline, brain drain, remittance economics
  • The Missing Middle / Value Chain — Extraction economics, raw material leaving state for value addition elsewhere
  • The Public Mind — Information distribution, survivorship bias in media coverage
  • Urbanization Odisha — Bhubaneswar concentration, missing middle cities, coaching hub geography
  • The Long Arc — Extraction equilibrium applied to human capital
  • Institutional Design — Institutional vacancy as structural explanation for platform emergence