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Top Insurance Data Processing Companies

Welcome to the Insurance Data Processing Companies section of SuperbCompanies' IT directory! In this esteemed category, we've carefully evaluated and ranked top-performing companies that specialize in insurance data processing based on their reputation, expertise, and customer satisfaction. Our curated list showcases the best providers in this space, offering unique solutions to help insurers streamline operations, reduce costs, and improve decision-making. As part of our comprehensive directory, this category is dedicated to Insurance Data Processing Companies, featuring the crème de la crème of firms that excel in this field.

See Pricing Analytics
3 Companies
Last updated:Oct 30, 2024
in 2024
Top Insurance Data Processing Companies

List of Top Insurance Data Processing Companies

About company

Backoffice Pro (BOP) is an offshore outsourcing company that provides a variety of business process outsourcing (BPO) services to companies across the globe. Recognizing the increasing need for effic... Read more about Backoffice Pro

Less than $5000

NA

500 - 999

2014

Princeton, New Jersey


Service focuses

Viaante Business Solutions logo

Bridging the Gap to Your Success

About company

With collective experience of over 50 man years in the Business Process Management domain and 700+ resources, Viaante is a leading services provider company with delivery centers in India and sales p... Read more about Viaante Business Solutions

Less than $5000

< $25/hr

500 - 999

2011

Mumbai, India


Service focuses

About company

Taksh IT Solutions Private Limited is a dynamic leader in the IT and digital innovation sector, dedicated to delivering cutting-edge technology solutions that drive business growth and operational ex... Read more about TAKSH IT SOLUTIONS PVT LTD

$5000 - $9999

$50 - $99/hr

50 - 199

2021

Noida, India


Service focuses

Insurance

Related Industries

How much does it cost to hire Insurance Data Processing Companies?

Pricing in 2024
Data current as of: Oct 26, 2024

3

Total number of companies

1

Companies undisclosed data

2

Companies provided data
Employees
Avg. hourly rate
500 - 999
50 - 199
Number of companies

< $25/hr

1

1

$50 - $99/hr

1

1

1

50.00%

1

50.00%

2

$25 - $49/hr

Avg. hourly rate

< $25/hr

Most popular

Results of our research on 3 Insurance Data Processing Companies:

Hourly rate data disclosure
  • 33.3%

    of companies in this research did not disclose their hour rate information.

  • 66.7%

    of companies in this research provided their hourly rate information.

The size of companies
  • 50.0%

    50 - 199

  • 50.0%

    500 - 999

The findings reveal trends in the pricing policies and structures of companies featured on our portal.

Summary of Insurance Data Processing Companies (as of Oktober 26, 2024)

To determine the average hourly cost of hiring insurance data processing companies, we can analyze the distribution of companies across different hourly rate ranges and company sizes.

Hourly Rate Ranges:

  • < $25/hr: 1 company (50.00%) Most Popular Rate
  • $50 - $99/hr: 1 company (50.00%)

Analysis

  1. Most Popular Hourly Rate: The most popular hourly rate among insurance data processing companies is < $25/hr, with 1 company (50.00%) offering services within this range. This indicates that a significant portion of the market is targeting a low-range pricing strategy, which may appeal to a broad spectrum of clients seeking a balance between cost and quality.

Conclusions

  • The Insurance Data Processing market is diverse, with a substantial number of companies offering services at different price points to cater to a wide range of clients.
  • The most competitive and densely populated hourly rate range is < $25/hr, making it the most accessible for many potential clients.
  • The hourly rates ($25 - $49/hr and above) are also common, indicating a robust market for specialized and potentially medium-quality services.

This analysis provides a comprehensive overview for businesses or individuals looking to hire insurance data processing companies, enabling them to make informed decisions based on their budget and project requirements.