TYL Releases Survey Data on Veterinary Nurse Job Changes, Revealing Average Success Age of 28.3
TYL Inc. has published a research report on job change trends among veterinary nurses, based on data from its recruitment service, 'Pet Nurse Agent.' The analysis, which used natural language processing on interview records from 2024 to 2025, found that the average age of a successful job changer is 28.3. The data shows active career-seeking among professionals in their 20s and early 30s, and also indicates a rising trend of job changes among veterans over the age of 35.
📋 Article Processing Timeline
- 📰 Published: May 20, 2026 at 17:30
- 🔍 Collected: May 20, 2026 at 09:01
- 🤖 AI Analyzed: May 20, 2026 at 09:17 (16 min after Collected)
TYL Inc., a company with the mission of promoting the 'humanization of pets,' has released a research report on the age of successful job changes among veterinary nurses. The study analyzed data from registrants of its recruitment agency, 'Pet Nurse Agent.' The analysis utilized natural language processing technology on interview records of veterinary nurses who registered with the service in 2025.
■ Survey Background
In the veterinary nursing industry, there is a growing movement among mid-career and veteran professionals to proactively choose environments where they can work more authentically, leveraging their expertise. This is a shift from traditional negative motivators such as early career turnover. This survey aims to explore the background of how professional veterinary nurses are achieving satisfactory career development by using recruitment agencies.
■ Key Survey Findings
- The average age for a successful job change in 2025 was 28.3 years. Professionals in their 20s and early 30s are actively seeking better work environments.
- The largest group was the 20-24 age bracket, accounting for approximately 36% of the total, primarily young professionals seeking to define their career paths early.
- The activity of veteran nurses aged 35 and over has also intensified, indicating a trend of career rebuilding to continue professional work through various life stages.
Topic 1: Average age of successful job change is 28.3, with active career advancement by the core generation.
According to a work-style survey by the Ministry of Agriculture, Forestry and Fisheries, 37.1% of registered veterinary nurses are in their 20s and 33.3% are in their 30s. The survey's finding that the average age of successful job changers is 28.3 suggests that this core generation supporting veterinary medicine is making positive career moves to find environments that properly value their skills and offer further advancement.
Topic 2: Younger generation is the largest group, but the presence of veterans is growing.
The 20-24 age group was the most numerous, making up about 36% of successful placements. This highlights a trend of young professionals pursuing ideal training systems and work-life balance early in their careers. Meanwhile, the placement rate for those aged 35 and over has also significantly increased from 2024 to 2025, boosting the presence of this veteran demographic. This suggests that the industry is becoming more accommodating of diverse careers, as agents connect professionals who want to work long-term through life changes with hospitals seeking stability and leadership.
■ Survey Outline
- Survey Respondents: 281 individuals who successfully found a new job through 'Pet Nurse Agent' (excluding students).
- Data Source: 77 interview records (total text volume: approx. 350,000 characters).
- Analysis Method: Classification and analysis of free-text data using natural language processing technology.
- Period: January 2024 - December 2025.
■ Survey Background
In the veterinary nursing industry, there is a growing movement among mid-career and veteran professionals to proactively choose environments where they can work more authentically, leveraging their expertise. This is a shift from traditional negative motivators such as early career turnover. This survey aims to explore the background of how professional veterinary nurses are achieving satisfactory career development by using recruitment agencies.
■ Key Survey Findings
- The average age for a successful job change in 2025 was 28.3 years. Professionals in their 20s and early 30s are actively seeking better work environments.
- The largest group was the 20-24 age bracket, accounting for approximately 36% of the total, primarily young professionals seeking to define their career paths early.
- The activity of veteran nurses aged 35 and over has also intensified, indicating a trend of career rebuilding to continue professional work through various life stages.
Topic 1: Average age of successful job change is 28.3, with active career advancement by the core generation.
According to a work-style survey by the Ministry of Agriculture, Forestry and Fisheries, 37.1% of registered veterinary nurses are in their 20s and 33.3% are in their 30s. The survey's finding that the average age of successful job changers is 28.3 suggests that this core generation supporting veterinary medicine is making positive career moves to find environments that properly value their skills and offer further advancement.
Topic 2: Younger generation is the largest group, but the presence of veterans is growing.
The 20-24 age group was the most numerous, making up about 36% of successful placements. This highlights a trend of young professionals pursuing ideal training systems and work-life balance early in their careers. Meanwhile, the placement rate for those aged 35 and over has also significantly increased from 2024 to 2025, boosting the presence of this veteran demographic. This suggests that the industry is becoming more accommodating of diverse careers, as agents connect professionals who want to work long-term through life changes with hospitals seeking stability and leadership.
■ Survey Outline
- Survey Respondents: 281 individuals who successfully found a new job through 'Pet Nurse Agent' (excluding students).
- Data Source: 77 interview records (total text volume: approx. 350,000 characters).
- Analysis Method: Classification and analysis of free-text data using natural language processing technology.
- Period: January 2024 - December 2025.