Top 15 People & HR Analytics Software in India (2026)

Darwinbox has the strongest independent analytics evidence of any Indian-built platform and covers the questions most CHROs actually ask. It is on G2’s own Enterprise HR Analytics list, where it and ProHance are the only Indian-built products; it was also one of the 22 platforms Everest Group assessed this year. The idea is simple and powerful. When analytics sits on the same record as payroll, performance and succession, you can ask whether the people you are about to lose are also the ones your managers rated highest, without stitching two systems together. The counterweight is that this is a module inside an HCM, not an analytics product in its own right. Right if you are a large Indian enterprise already on it. Heavy if you are not.

ProHance is the only product in this guide where analytics is the product rather than a module. It captures work-activity data and turns it into productivity, utilisation and retention-risk analytics. Everest Group placed it in its people analytics assessment as a Major Contender and Star Performer, and G2 lists it in its Enterprise HR Analytics category, with reviewers who talk about the analytics itself. Its customer mix of BPOs, GCCs, banks and healthcare back offices is exactly where Indian headcounts are largest and utilisation matters most. It measures how work gets done, not the whole HR question set: it will not model diversity, compensation or workforce plans. It is activity monitoring turned into analytics, and in India that sits squarely inside the DPDP Act, so employees need to know what is captured and why. If your question is why people are leaving, or where capacity is going, it helps. If it is what your culture feels like, it is the wrong tool.

SuccessFactors is the platform much of corporate India already runs HR on. TCS, Infosys, HCLTech and Cipla all appear in its Indian customer data, and Wipro’s Pune practice recruits specifically for its analytics modules. The counterweight is analyst validation: SAP is not among the 22 providers Everest Group assessed in 2026. If you are an SAP shop with a people analytics team, it is the obvious starting point. If you are not, it is a very expensive way to find out your attrition rate.

PeopleStrong is one of the few vendors here that sells analytics as a distinct platform rather than a tab in a menu. Its own page lists trends with anomaly flags, plain-English chart queries and eight statistical models with custom model import, which is more than most HRMS analytics claim. Add a Gartner Customers’ Choice in the 1,000-plus segment and a client list of very large Indian employers, and it takes a high place on the depth of what it documents and the strength of its Indian enterprise base. Do ask for a live demo in which a model is trained on your data, not a canned storyboard.

Workday’s analytics are only as good as the HR data inside Workday, which is excellent if the data is there and irrelevant if it is not. Everest names it among the Leaders, and Indian giants run Workday. Yet only 129 Workday People Analytics customers are on record worldwide, against thousands on the core HCM, a reminder that analytics is the hardest module to sell. It is a real option for large Indian enterprises already on Workday, with an 86,000-person Indian firm evaluating it this year. For everyone else it is not an analytics purchase. It is an HCM migration.

inFeedo answers one analytics question better than most: who is likely to leave? Instead of reading historic HR data, it asks employees short questions at the moments that matter, such as onboarding, a few months in, after a change and at exit, and ranks people by risk. That is a different, more current signal than an HRMS can give you. It is also the least checkable claim in this guide. The vendor says it flags at-risk employees two to three months before they resign. Ask inFeedo to back-test its model on a past cohort of your own leavers and show you how many it would have caught. If it will not, you have your answer. TPB’s own coverage of AI attrition models makes the same point: the prediction is often accurate, but the interpretation still needs a human.

Keka’s analytics are the kind most Indian HR teams actually need: attrition by tenure and department, headcount trends, retention and exit reasons, on the same record that already runs payroll and attendance. There is no integration to build and no data team required, which is the real reason mid-market companies get value from it. That said, Keka documents its analytics on its own pages. You would not buy Keka for Visier-grade prediction or workforce modelling, and Keka does not claim otherwise. If your question is what happened to attrition last quarter and why, it answers that. If your question is what headcount looks like in 24 months under three scenarios, look higher up.

Zoho People is the practical choice for a small Indian company that wants honest reporting without a data project. What you get is reporting and dashboards, not prediction: attrition rates, engagement metrics, headcount trends and compensation modelling. That is exactly what a 150-person company needs, and it is a sensible first step before anyone talks about machine learning. The caveats are the usual Zoho ones. Configuration takes effort, payroll is a separate product, and the ratings describe the whole HRMS.

iMocha is here for a narrower reason than most entries: it is the strongest skills analytics product with Indian roots. Skills data answers questions an HRMS cannot, such as where the skills gaps are, who could move into which role, and what a reskilling plan needs. It also has an Everest Group placement as a Major Contender and Star Performer in Skills Intelligence this year. Be clear about the scope. This is skills analytics, not the attrition, headcount and planning analytics most CHROs mean by people analytics, and it began as an assessment platform for hiring, so the skills layer is a newer addition. Its customer list leans toward global IT services, with names like Wipro, Cognizant and Capgemini stated by the vendor, and some databases list a US headquarters. If your question is where the skills gap is, it is a strong fit. If your question is why people are leaving, look somewhere else.

BetterPlace is the Indian answer to a question the rest of this list barely touches: what is happening to the frontline workforce, the delivery riders, security guards, and warehouse and facility staff who make up most of India’s headcount? It runs the whole lifecycle from hiring and background verification to attendance and payroll, claims 25M+ worker profiles and 1,000+ enterprise clients, and the funding history, a Series D and about $98M raised, backs up the scale. The honest limit is evidence. We found one Capterra review and no G2 profile, analytics is one feature among about forty on review sites, and its analytics depth is documented only by BetterPlace. It earns its place on the strength of its Indian audience and a niche most analytics vendors ignore, not on proof of analytics depth. Ask for a demo of the attrition and attendance analytics on real frontline data, and for two reference customers.

Akrivia is a credible enterprise option that most Indian HR buyers have not evaluated, and its client list reflects real deployment across India, the GCC and Southeast Asia. People analytics is one of more than forty modules, which suits a group that wants a single platform rather than a specialist. Worth a demo and a reference call, not a place on a shortlist by reputation alone.

Oracle has a dedicated, prebuilt analytics product for Fusion HCM, a place in G2’s HR Analytics category, and a very large Indian base, with offices in Bengaluru, Hyderabad and Mumbai and Indian Fusion clients such as Tech Mahindra, TCS, Asian Paints and Apollo Tyres. What it lacks is volume: 14 G2 reviews and 10 on Capterra India for the analytics product, no Everest placement that we could find, and nothing showing how many of those Indian Fusion customers use the analytics layer. Reviewers of the wider suite also mention a complicated data model and implementers who are not very helpful. If you are an Oracle shop, it is the obvious place to start. If you are not, there is no reason to choose it for analytics alone.

The analytics of We360.ai are about how people spend their working time, which is useful for cost-per-project and capacity planning. It is not people analytics in the sense a CHRO usually means, and G2 does not file it under HR analytics. In plain terms, this is monitoring software, and that carries real consequences. Employee activity data is personal data under the DPDP Act; employees need to be told what is captured and why, and trust is easy to lose. A feature that blurs personal data helps, but it is no substitute for a clear policy. Good for an agency billing by the hour. Think hard before deploying it across a knowledge-worker team.

Qandle’s modular approach suits a company that wants analytics but is not ready to replace everything: you switch on only what you need and add later. The entry price is low and published, which is rare in this category. Core HR pricing does rise once you add modules, so get a quote for everything you expect to need within two years, not just the entry tier. Worth a demo and two customer references before you commit.

ZingHR matters in this guide mainly because of its workforce shape: field staff whose attendance and pay depend on where they were, and companies operating across several countries. Analytics built on geo-tagged attendance and payroll is a real advantage for that buyer. The evidence is thin, though with a low review volume. It does mean this is a demo-and-references decision rather than one you can settle from review data. Ask to see the analytics on real field-workforce data.