Indian Enxconda Target 99%

Thankfully, India and neighboring countries have taken steps to protect the Indian python:

India is the world’s fastest‑growing hub for data‑science, artificial‑intelligence (AI), and cloud‑native development. By 2028 the country is projected to host ≈ 30 million professional developers and ≈ 7 million data‑science practitioners, a talent pool that dwarfs many mature markets.

Anaconda, the premier Python/R distribution and the underlying Conda package manager, is uniquely positioned to become the de‑facto runtime and environment‑management platform for this ecosystem.

Key opportunity – Capture > 15 % market share of enterprise‑grade data‑science platforms in India within five years, translating into ≈ US $120 M in recurring revenue (ARR) and a robust pipeline of Indian open‑source contributors.

| Macro Trend | Impact on Anaconda (Conda) | |-------------|---------------------------| | Rapid digitisation – Government’s “Digital India” programme, 1.4 bn smartphone users, 600 M broadband connections. | Massive demand for data pipelines, analytics, and AI‑enabled services. | | AI‑first policy – National AI strategy (2020) and ₹1 trn AI research fund. | Institutions need reproducible, secure environments – Conda excels. | | Talent surge – 1 M+ AI/ML graduates per year, 15 k+ PhDs in data‑intensive fields. | Growing community of developers who need a reliable package manager. | | Enterprise cloud adoption – AWS, Azure, GCP revenue in India growing > 45 % YoY. | Cloud‑native data‑science workloads rely on Conda‑based Docker images. | | Regulatory push – Data‑localisation mandates for banking, healthcare, telecom. | On‑prem Conda repositories (e.g., Anaconda Repository) satisfy compliance. |

Life in the enclaves was difficult. Because the residents were technically living in a foreign country without access to it, they lacked basic amenities. There were no schools, hospitals, or police stations. Residents could not travel to their "home" country without crossing an international border illegally.

To get medical help or buy supplies, people often had to cross into the "host" country illegally, risking arrest or being forced to pay bribes to border guards. For decades, these people lived in the shadows of cartography.