General insurance platform with digital-first distribution across motor, health, and specialty lines
ICICI Lombard operates India's largest private-sector general insurance business with 5,001–10,000 employees across 328 branches. The tech stack reveals a marketing-and-analytics-heavy operation: Adobe Creative Cloud, Figma, Tableau, and SEO tooling dominate, while hiring leans heavily sales (45 of 52 roles) and management-tier (34 of 52) — a pattern consistent with scaling a multi-channel distribution network. Active projects focus on AI-driven audit mechanisms, SEO authority content, and risk engineering services, while pain points center on agent recruitment, motor sales growth, and organic ranking improvement.
ICICI Lombard is a major private-sector general insurance company in India, founded in 2001, offering motor, health, crop, fire, personal accident, marine, engineering, and liability insurance. The company has issued over 37.6 million policies and processed more than 3.2 million claims, with gross written premium of ₹282.58 billion for the year ended March 31, 2025. Distribution spans 328 branches and digital channels, including the IL TakeCare app (16.6 million downloads as of June 30, 2025), which features AI-driven innovations such as face-scan enrollment. The company migrated its core systems to cloud infrastructure and operates an engineering-led risk advisory practice alongside its underwriting and claims operations.
Primary tools include Adobe Creative Cloud, Figma, Tableau, Google Analytics, Jira, SEMrush, and Google Search Console. The stack emphasizes creative production and marketing analytics over infrastructure or backend platforms.
Mumbai, Maharashtra, India. The company operates 328 branches across India and employs 15,123 people as of March 31, 2025.
ICICI Lombard's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.