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Indonesia Online Loan and Insurance Industry Outlook to 2024

Compelling Incumbents to pursue growth via Product Development & International Expansion

Region:Indonesia

Author(s):Vibhuti Sharma

Product Code:KR1006

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Published On

July 2020

Total pages

84

Products

Time Period Captured in the Report:-

  • Historical Period: 2015–2019

  • Forecast Period: 2020-2024

Companies

Companies Covered

  • Cermati

  • CekAja

  • CekPremi

  • Futuready

  • Aturduit

  • KreditGogo

  • GoBear

  • Finder

Table of Contents

1. Socio Demographic, Economic, Banking & Fintech Outlook

Socio Demographic Outlook (Human Capital, Monthly HH Consumption Pattern, Internet Accessibility, Adaptability to Financial Services)

Economic Outlook (Nominal GDP at current prices, Economic Indicators including HH Consumption to GDP, Inflation Rate, Labor Force, BI Rate, Aggregate NPL, 2014-2019)

Overview of Banking Sector (Banking Infrastructure Indicators including Number of Commercial Banks, Rural Banks, Bank Branches, Loan to Deposit Ratio, Number of EDC Machines etc (2014-2019) & Online Banking Trends)

Snapshot of Fintech Industry in Indonesia (Market Sizing, Traction for Fintech Lending, Major Lending Platforms)

2. Insurance Sector in Indonesia

Overview of Insurance Sector in Indonesia (Comparison of Insurance Penetration of Indonesia with other Countries, GWP collection (2014-2019), Key Industry Trends, Insurance Infrastructure, Segmentation by Insurance Sector & segmentation by Distribution)

-Life Insurance Industry Indonesia (Life Insurance Infrastructure, Key Trends, Segmentation by Offline/Online Distribution, Segmentation by Distribution Channels, Major Insurance Providers with their unique strategy)

-Motor Insurance Industry Indonesia(Net Premium Collected, Key demand Indicators, Product & Premium Pricing, Consumer Trends, Regulatory Challenges, Segmentation by Distribution, Recommended Adoption Model)

-Health Insurance Industry Indonesia (Premium Collection, Role of Mandatory Insurance, Online vs offline distribution, Total Premium collection by Aggregators

3. Loan Sector in Indonesia

Lending Scenario in Indonesia (Gross Loan Outstanding (2014-2019), Segmentation by Usage, Segmentation by Debtor)

Household Credit/Retail Lending in Indonesia (HH Credit to GDP Ratio in comparison to other countries, Household/Retail Credit Outstanding (2014-2019), Segmentation by Type of Retail Loan, Key driving trends)

-Auto Loans in Indonesia (Auto Loans Outstanding (2014-2019), Pre requisites, Key Trends, Auto Loans Process, Recommended potential for Online)

-Multipurpose Loans in Indonesia (Multipurpose Loans Outstanding (2014-2019), Demand Trends, Process, Eligibility Conditions)

-Credit Card Industry (Credit Cards Loans Outstanding (2014-2019), Key Statistics & Driving Trends)

-Mortgage Loans in Indonesia (Mortgage Loans Outstanding (2014-2019), Key Considerations, Other Charges, Conditions for Expats, Residential Property Index (2017-2019), Key Statistics, Process)

-Loans to MSMEs (MSME Loans Outstanding, Purpose of Loan, Key Trends, Demand & Supply Side Challenges, Potential Role of Aggregators)

4. Online Loan & insurance Aggregator Industry in Indonesia

Gaps Fulfilled by Online Aggregators (How are Aggregators Solving these Problems?)

Overview of Loan & Insurance Aggregators in Indonesia (Meaning, Features, Drivers, Challenges, Market Sizing by Revenue, Revenue Segmentation by Loan & Insurance)

Customer Journey on an Aggregator Platform

Revenue Streams

Organizational Structure

Working of Telesales Department (Structure, Qualification, Role, Number & Salary)

Technology Stack of Aggregator Platforms (Website Platform and CRM)

Marketing Strategies Followed (Common Strategies Followed, Marketing Campaign Details)

Regulatory Landscape for Online Aggregators in Indonesia (Registration Process, Governance, Reporting&Consumer Data Protection)

5. Competitive Landscape of Aggregators in Indonesia

Ecosystem (Online Loan & Insurance Providers, Aggregators)

Timeline of Aggregators in Indonesia

Competitive Scenario (Nature of Market, Competing parameters, Key Strategy used by Major Players, market Share basis Revenue)

Cross Comparison among major players basis:

-Operational Parameters (Average New Monthly Leads Generated (Credit Cards, Personal Loan, Motor Insurance, Health Insurance), Approval Rate of Leads (Credit Cards, Personal Loan, Motor Insurance, Health Insurance), Yearly Credit Cards Sold(2019), Yearly Revenue attributable to Credit Cards/Personal Loans/Motor Insurance/Health Insurance, Total Revenue from Banking Segment (2018-2019), Yearly Policies Sold (Motor & Health Insurance), Premium Collection (Motor & Health Insurance), Annual Number of Microinsurance policies sold, Total Premium Collection, IDR Mn (2018-2019), Total Revenue from Insurance segment (2018-2019, Number of Employees, Telesales Employees, Funding Scenario)

-Loan Providers

-Insurance Providers

-Product Portfolio

-Website Features

Company Profiles (Basis Company Overview, Services Offered, Operating Model, Business Strategies, Funding Scenario, KPIs, Revenue):

-Cermati

-CekPremi

-CekAja

-Aturduit

-Futuready

-KreditGogo

6. Success Case Study-PolicyBazaar & PaisaBazaar India (Company Overview, Product Offerings, Business Model, Focus Area, KPIs, Key Adoption Trends)

7. Future Outlook of Loan & Insurance Aggregators Indonesia

Future Outlook of Loan & Insurance Industry (Loans Outstanding (2019-2024F), GWP Collected Outstanding (2019-2024F), Key Trends expected to drive their demand)

Future Outlook of Online Loan & Insurance Aggregators Indonesia (Market Size for Online Loan & Insurance Industry, Market Size for Online Aggregators, Key Trends driving their demand)

8. Analyst Recommendations

Proposed Business Framework (Product Diversification, Geographical Expansion, Why and where should aggregators expand, Ideal model to be followed)

Key Recommendations for Aggregators in Indonesia

9. COVID 19 Impact

How Covid-19 has proved to be a tipping point for aggregators?

10. Research Methodology

Definitions Used

Abbreviations Used and Sample Sizing Inclusion

Primary Research Approach

Market Sizing Approach

Future Forecasting & Research Limitations

Disclaimer

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