India Non-Life Insurance Broking Market Dynamics and Forecast Sample Report Ken Research

September 2024
India Insurance Broking Market
Outlook To 2030
Bridging Customers with Insurance
Solutions
Author: Rishabh and Rajat | Vertical: Banking Financial Services and Insurance |
Region: Asia
Shaped by Rising Insurance Awareness and Penetration, Regulatory Reforms Favoring Brokers, Digitalization and
Technology Adoption.

Table of Contents
1
1. Executive Summary
1.1 Executive Summary of India Insurance Broking Market
2
2. Market Overview
2.1 Market Definition and Scope
2.2 Historical Market Size and Growth (2015–2023)
2.2.1 Market Volume (Number of Policies/Brokered Transactions)
2.2.2 Market Revenue (Brokerage Fees)
2.3 Forecast Market Size to 2030
2.3.1 Volume Forecast (2024–2030)
2.3.2 Revenue Forecast (2024–2030)
2.3.3 5-Year CAGR (2025–2030)
3
3. Market Segmentation of India Insurance Broking, 2025
3.1 Segmentation by Insurance Type: (Non-Life Insurance Broking, Life Insurance Broking)
3.2 Segmentation by Client Type: (Corporate Clients, Retail Clients)
3.3 Segmentation by Distribution Channel: (Offine / Traditional Brokers, Online / Digital Aggregators, Hybrid Models)
3.4 Segmentation by Geographic Region: (North India, West India, South India, East & Northeast)
3.5 Segmentation by Revenue Model: (Commission-Based, Fee-Based Advisory, Hybrid (Commission + Fee))
4
4. Industry Analysis
4.1 Growth Value Drivers
4.1.1 Rising Insurance Awareness and Penetration
4.1.2 Regulatory Reforms Favoring Brokers
4.1.3 Digitalization and Technology Adoption
4.1.4 Expanded Corporate Risk Complexity
4.1.5 Growth in SME and Mid-Market Segments
4.2 Industry Challenges
4.2.1 Intense Competition and Fee Compression
4.2.2 Regulatory Compliance Burden
4.2.3 Data Security and Privacy Concerns
4.2.4 Potential Disintermediation by Insurtechs
4.2.5 Talent Acquisition and Retention
4.3 Opportunities
4.3.1 Collaboration with Insurtech Firms
4.3.2 Product Innovation in Emerging Risks (Cyber, Climate)

4.3.3 Embedded Insurance Solutions
4.3.4 Rural and Micro-Insurance Broking
4.3.5 Value-Added Advisory Services
4.4 Trends
4.4.1 API-Driven and Embedded Brokerage Models
4.4.2 Usage-Based and On-Demand Insurance
4.4.3 AI and Advanced Data Analytics in Broking
4.4.4 Consolidation and M&A Activity
4.4.5 Rise of Digital-Only Brokerages
5
5. Value Chain and Industry Taxonomy
5.1 Insurance Broking Value Chain
5.1.1 Risk Assessment and Underwriting Support
5.1.2 Policy Placement and Negotiation
5.1.3 Claims Advisory and Post-Sale Services
5.1.4 Renewal Management
5.1.5 Specialty and Advisory Services
5.2 Industry Taxonomy
5.2.1 Regulatory Bodies and Associations
5.2.2 Market Segments and Sub-Segments
5.2.3 Stakeholder Mapping (Brokers, Insurers, Clients, Insurtech)
5.2.4 Technology Enablers
6
6. Regulatory Framework
6.1 Regulatory Bodies (IRDAI, FIMMDA, etc.)
6.2 Licensing, Registration and Capital Requirements
6.3 Code of Conduct and Compliance Standards
6.4 Reporting and Disclosure Obligations
6.5 Recent and Upcoming Regulatory Reforms
6.6 Taxation, GST and Fee Structures
7
7. Competitive Landscape of the India Insurance Broking
7.1 Major Companies Covered: (Marsh India, Aon India, Gallagher India, J.B. Boda Insurance Brokers, Anand Rathi Insurance
Brokers, and Others)
7.2 Operational Parameters: (Company, Headquarter, GWP (USD Mn), NEP (USD Mn), Combined Ratio (%), PAT Margin
(%), and Others)
7.3 Financial Parameters: Market Shares, Revenues, and Profit Margins
8
8. Future Market Segmentation of India Insurance Broking, 2030
8.1 Segmentation by Insurance Type: (Non-Life Insurance Broking, Life Insurance Broking)
8.2 Segmentation by Client Type: (Corporate Clients, Retail Clients)

8.3 Segmentation by Distribution Channel: (Offine / Traditional Brokers, Online / Digital Aggregators, Hybrid Models)
8.4 Segmentation by Geographic Region: (North India, West India, South India, East & Northeast)
8.5 Segmentation by Revenue Model: (Commission-Based, Fee-Based Advisory, Hybrid (Commission + Fee))
9
9. Analyst Recommendations
9.1 TAM/SAM/SOM Analysis
9.2 Go-to-Market and Positioning Strategies
9.3 Partnership and M&A Roadmap
9.4 Digital Transformation and Tech Investments
9.5 Risk Mitigation and Compliance Best Practices
10
10. Research Methodology
10.1 Research Objectives and Scope
10.2 Data Sources
10.2.1 Primary Research (Expert Interviews, Surveys)
10.2.2 Secondary Research (Industry Reports, Regulatory Filings)
10.3 Data Triangulation and Validation
10.4 Assumptions and Limitations
11
11. Disclaimer
12
12. Contact Us

01
Executive Summary

Executive Summary
Exhibit 1.1
Taxonomy & Market Size of India Insurance Broking Market
India Insurance Broking Market
(USD XX Bn)
By Insurance Type
By Client Type
Non-Life Insurance
Broking
XX%
Life Insurance
Broking
XX%
Corporate Clients
XX%
Retail Clients
XX%
Non-Life broking
leads with motor
and health
segments.
Life broking
offers strategic
expansion
opportunities.
Corporate client
broking leads in
market share and
growth.
Retail segment
driven by digital
distribution and
group schemes.
Motor
Health
Property &
Engineering
Term Life
Endowment
Plans
ULIPs
Large
Enterprises
Mid-Market
Enterprises
Small &
Medium
Enterprises
High-Net-
Worth
Individuals
Mass Affuent
Mass Market
By Distribution Channel Offine / Traditional Brokers Online / Digital Aggregators Hybrid Models
By Geographic Region North India West India South India East & Northeast
By Revenue Model Commission-Based Fee-Based Advisory Hybrid (Commission + Fee)
Source: Ken Research Analysis
Note 1: Exhibits are illustrative; detailed numbers appear in the full report.
Note 2: XX% denotes CAGR.
COPYRIGHT KEN RESEARCH. ALL RIGHTS RESERVED

02
India Insurance Broking
Market Outlook

India Insurance Broking Market Outlook
India Insurance Broking Market Scenario
India’s insurance broking market is expanding due to rising insurance penetration, regulatory reforms, and digitalization.
Brokers play an increasingly strategic advisory role. Latest trends include adoption of digital platforms, data analytics,
insurtech partnerships, and bancassurance tie-ups. Key value drivers are customer-centric solutions, product innovation,
risk-management expertise, and cost optimization. Tailwinds stem from regulatory support for open architecture, growth
in affinity distribution, expanding SME coverage, and heightened consumer awareness. Catalysts over the next five years
will be API-based platforms, AI-driven underwriting, microinsurance, embedded insurance, and gig-economy protection.
Probable scenarios feature market consolidation, specialized niche brokers, enhanced omnichannel engagement,
strategic alliances, and innovative and scalable business models.
Exhibit 2.1
Illustrative India Insurance Broking Market Overview
CAGR: XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
XX%
2025 2030
By Insurance Type Non-Life Insurance Broking Life Insurance Broking
By Client Type Corporate Clients Retail Clients
Source: Ken Research Analysis
Note 1: The exhibit serves as an illustration, with numbers currently masked. The detailed statistics will be included in the final report
Note 2: All revenue and financial numbers are for current year and financial year, i.e., 2025 & 2030.
Note 3: XX% in the above exhibit denotes market size
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03
Market Segmentation of
India Insurance Broking
Market

Market Segmentation of India Insurance Broking Market
India Insurance Broking Market Segmentation
The India Insurance Broking Market Outlook to 2030 is segmented By Insurance Type (Non-Life Insurance Broking, Life Insurance
Broking), By Client Type (Corporate Clients, Retail Clients), and By Distribution Channel (Offine / Traditional Brokers, Online / Digital
Aggregators). Non-Life Insurance Broking—led by Motor and Health sub-segments—accounts for the largest share and is forecast
to grow at a XX% CAGR, driven by rising vehicle ownership and healthcare spend. Life Insurance Broking, especially ULIPs and
Pension & Annuities, is rapidly expanding. Corporate Clients remain the top revenue contributors, while Mass Affuent retail
segments are emerging. Online / Digital Aggregators exhibit the fastest uptake, supported by regulatory reforms, InsurTech tie-ups
and Hybrid (Commission + Fee) models.
Exhibit 3.1
Illustrative Market Segmentation of India Insurance Broking Market
Life Insurance
Broking
XX%
Property &
Engineering
(XX%)
Retail Clients
XX%
Small & Medium
Enterprises
(XX%)
Hybrid Models
XX%
East & Northeast
XX%
Hybrid
(Commission +
Fee)
XX%
South India
XX%
Health
(XX%)
Mid-Market
Enterprises
(XX%)
Online / Digital
Aggregators
XX%
Fee-Based
Advisory
XX%
West India
XX%
Non-Life
Insurance Broking
XX%
Motor
(XX%)
Corporate Clients
XX%
Large Enterprises
(XX%)
Offine /
Traditional Brokers
XX%
North India
XX%
Commission-
Based
XX%
By Insurance
Type
Non-Life
Insurance
Broking
By Client Type
Corporate
Clients
By Distribution
Channel
By Geographic
Region
By Revenue
Model
Key Takeaways:
Non-Life Insurance Broking is the largest segment.
Life Insurance Broking is rapidly expanding.
Corporate Clients are the top revenue contributors.
Online / Digital Aggregators are growing fast.
Source: Ken Research Analysis
Note 1: This exhibit serves as a visual representation. The final chart will include additional segments along with detailed statistics
in the final report.
Note 2: All revenue and financial numbers are for the current year.
Note 3: "XX%" in the above exhibit denotes market shares.
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04
Overview And Genesis Of
The India Insurance
Broking Market

Overview And Genesis Of The India Insurance Broking Market
India Insurance Broking Market Ecosystem
In India’s insurance broking ecosystem by 2030, large brokers (e.g., Marsh, Aon) leverage global insurer partnerships,
advanced analytics, omnichannel distribution and serve high-value corporate clients; their business model rests on key
partners (insurers), value propositions (customized risk solutions), robust tech platforms, diversified revenue streams
(commissions + advisory fees) and significant talent/IT investments. Medium players (e.g., Edelweiss, IIFL) target niche
SME and retail segments with digital channels, specialized products, lean cost structures and hybrid sales models. Small
brokers focus on local SMEs and individuals, offering personalized advisory via direct channels, minimal overhead,
commission-only revenues and basic digital tools. All tiers prioritize regulatory compliance, data-driven underwriting and
value-added services.
Exhibit 4.1
Illustrative Ecosystem of India Insurance Broking Market
Entity type Revenue Streams Players
Domestic/Traditional
Insurance Brokers
▶
▶
▶
Commission on premiums (life & non–life)
Fee-based risk-management, compliance & claims
services
Retainer or project fees for large corporates
Globe Capital
Markets
T TK Insurance
Brokers
Bajaj Capital
Insurance Broking
Pioneer Insurance
Brokers
International (Global)
Insurance Brokers
▶
▶
▶
Commission & brokerage on large/complex corporate
placements
Advisory & analytics consulting fees (ERM, captive
structuring)
Success/performance bonuses on risk-transfer mandates
Marsh & McLennan
(Marsh India)
Aon PLC (Aon India)
Willis Towers Watson
(Willis India)
Gallagher (Gallagher
India)
Reinsurance Brokers
▶
▶
▶
Brokerage commission on treaty & facultative placements
Contingent/profit-share commissions from reinsurers
Consulting charges for risk-transfer structuring &
analytics
Guy Carpenter India
Aon Benfield India
Willis Re India
Gallagher Re India
Digital Insurance Brokers/
Insurtech Aggregators
▶
▶
▶
▶
Per-policy commission or referral fee (B2C)
Lead-generation & API-integration charges (B2B2C)
Subscription or SaaS fees for embedded-insurance
platforms
Data-/analytics monetization & advertising
PolicyBazaar
Coverfox
Turtlemint
RenewBuy
Bancassurance Channels
▶
▶
▶
Shared commission on retail & payroll-linked products
Volume bonuses & sales-incentives from insurers
Fee income for employee-benefits consulting (group
covers)
ICICI Bank
HDFC Bank
Axis Bank
State Bank of India
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05
Competitive Landscape

Competitive Landscape (1/3)
Competitive Landscape Overview
Marsh India leverages its global network, risk advisory, dedicated account teams and consulting to serve large corporates,
monetizing through commission and fee-based revenues; Aon India emphasizes analytics-driven risk, health and talent
solutions, employing digital platforms and proprietary data as key resources to secure retainer and transaction fees;
Willis Towers Watson offers integrated broking and consulting services, tapping specialized talent and technology for
subscription and commission income; Policybazaar operates a digital aggregator model, using API partnerships and
multichannel distribution to serve retail clients, generating commission and service fees; Coverfox mimics this lean,
tech-enabled broking approach for cost-efficient retail outreach.
Exhibit 5.1
Illustrative Market Shares of Key Players in India Insurance Broking Market
Note: These are illustrative representations and do not reflect actual data or real-world figures
Source: Ken Research Analysis
Note 1: The XX% in the exhibit represents the market share of each company.
Note 2: The exhibit serves as an illustration, with numbers currently masked.
Note 3: All revenue and financial numbers are for the current year.
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Competitive Landscape (2/3)
Exhibit 5.2
Illustrative Competition Matrix of India Insurance Broking Market
Major Players in India Insurance Broking Market
Figure represents cumulative market share for only the product segment.:
India Insurance Broking Market:
USD XX Bn
Note: These are illustrative representations and do not reflect actual data or real-world figures
Large Players Medium Players Small Players
Source: Ken Research Analysis
Note 1: The XX% in the exhibit shows the market share of each company, which represents the company's contribution to the total market.
Note 2: The exhibit serves as an illustration, with numbers currently masked.
Note 3: All revenue and financial numbers are for the current year.
Note 4: Enterprise size categories based on annual brokerage revenue in US$—Large > 50 Mn; Medium 10 Mn–50 Mn; Small < 10 Mn.
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Competitive Landscape (3/3)
Exhibit 5.3
Illustrative Cross Comparison of Key Players in India Insurance Broking Market
Company
Headquarter
Gross
Written
Premium
(USD Mn)
Net
Earned
Premium
(USD Mn)
Combined
Ratio (%)
Profit
After
Tax
Margin
(%)
Return
on
Equity
(%)
Claims
Settlement
Ratio (%)
Digital
Platform
Adoption
Rate (%)
Marsh
India
Mumbai,
India
XX XX XX% XX% XX% XX% XX%
Aon India
Mumbai,
India
XX XX XX% XX% XX% XX% XX%
Gallagher
India
Mumbai,
India
XX XX XX% XX% XX% XX% XX%
J.B. Boda
Insurance
Brokers
Mumbai,
India
XX XX XX% XX% XX% XX% XX%
Anand
Rathi
Insurance
Brokers
Mumbai,
India
XX XX XX% XX% XX% XX% XX%
Riskpro
Insurance
Brokers
Mumbai,
India
XX XX XX% XX% XX% XX% XX%
RIA
Insurance
Brokers
Mumbai,
India
XX XX XX% XX% XX% XX% XX%
GIRAFFE
Insurance
Brokers
Mumbai,
India
XX XX XX% XX% XX% XX% XX%
Affinity
Insurance
Broking
Services
Mumbai,
India
XX XX XX% XX% XX% XX% XX%
Himalaya
Insurance
Brokers
Mumbai,
India
XX XX XX% XX% XX% XX% XX%
Source: Ken Research Analysis
Note 1: The XX% and XX values in the exhibit represent placeholder data and will be replaced with actual figures in the final report.
Note 2: All revenue and financial numbers are for the current year.
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06
Analyst Recommendation

Analyst Recommendation
TAM/SAM & SOM Analysis
Exhibit 6.1
Target Addressable India Insurance Broking Market Outlook To 2030
TAM = USD XX Bn (Estimates total premium
volume based on demographic, economic
growth, and penetration rate forecast to
2030.)
SAM = USD XX Bn (Derives brokeragespecific
premium subset from TAM using
distribution channel share, regulatory
filters, and segment eligibility.)
SOM = USD XX Bn (Calculates
realistic capture based on
competitor density, broker capacity
constraints, and targeted
geographic/segment penetration
factors.)
Source: Ken Research Analysis
Note 1: The exhibit serves as an illustration, with numbers currently masked. The detailed statistics will be included in the final report.
Note 2: All revenue and financial numbers are for the current year.
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07
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market expansion
▶ Digital channel expansion
▶ Product diversification (loans,
savings, insurance)
New digital payment systems and
platforms
Reduction in operational costs
▶ Cost-to-serve optimization
▶ Operational efficiency
improvements
▶ Risk management optimization
Personalized banking
experiences
▶ Loyalty programs and rewards
▶ Digital engagement and selfservice
options
▶ Customer support through
multiple touchpoints
▶ Commercial due diligence
▶ Target screening
Mobile and online banking
solutions
Enablement and Implementation
▶ Post-merger integration
▶ Platform and technology
integration
▶ Data privacy and security
compliance
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Research Methodology
1. Desk Research
2. Expert Interviews
3. Sanity Check
4. Forecasting
Sources
Utilized industry reports,
government publications,
and financial databases to
gather data on the India
Insurance Broking Market.
Conducted interviews with
industry experts and key
stakeholders to gain
insights and validate desk
research findings.
Models
Applied a proxy model using
the number of brokers,
average revenue per broker,
and market penetration
rates to estimate market
size.
Modeling
Developed future forecasts
using trend analysis and
econometric models,
considering factors like
regulatory changes and
economic growth.
SAMPLE SIZE BY STAKEHOLDERS
By Stakeholders
Number of Respondents
C Level Executive
~ Respondents
Operational/Regional Managers
~ Respondents
Business Development / Sales Manager
~ Respondents
Others
-Key opinion leaders from Associations, Warehouses, and Manufacturing firms.
SAMPLE SIZE BY RESPONDENT CATEGORY IN PERCENTAGE (%)
C Level Executive - XX%
Operational/Regional
Managers - XX%
Business Development /
Sales Manager - XX%
Others - XX%
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