20 (AI) Training Video Stats You Need to Know In 2024 | Synthesia
20 (AI) Training Video Stats You Need to Know In 2024
The rapid adoption of AI video is transforming many industries, with L&D being no exception. In this report, you can discover the latest trends and insights into the role of video in training, as shared by 102 Synthesia users in the L&D space.
To provide additional context, the report also includes commentary from various industry experts.
Top 5 video L&D stats ✨
- 98% of respondents consider video important for their organization's L&D strategy.
- 97% of respondents find video effective in helping employees retain information they get in training.
- 97% of L&D professionals find video more effective than text-based documents.
- The average training video production time was reduced by 8 days (62%) by using modern AI tools.
- The top 3 biggest obstacles for producing video content for L&D in 2023 are: time, updating/re-recording content, ensuring videos are engaging.
How is video used in L&D today?
It is widely known that learners are fond of video, but what is the perspective of L&D professionals on its significance? This section provides information on the frequency of video usage, popular topics, and the main reasons for choosing it as a training format in 2023.
Stat 1: 98% of respondents think that video is important for their organization's L&D strategy.
Stat 2: In 2023, the most popular training content delivery formats are training videos , slide presentations and eLearning.
Stat 3: The most popular training video types in 2023 are: presenter-led, screencast, animated.
Stat 4: Top 3 training video topics in 2023: technical training, employee development & employee onboarding.
Stat 5: The top 3 reasons for using video in L&D are: microlearning, more on-demand learning content/SDL, content in other languages.
Beyond numbers: what do the experts think?
To add, resource allocation plays a role in the popularity of videos in L&D...
I would also add a couple more possible obstacles when it comes to video- searchability and the lack of uniform access to technology...
Microlearning being named the top reason people include video in their L&D strategy implies they’re thinking about content that tackles specific problems...
Challenges of video creation in L&D
AI has made video production much easier, but that wasn’t always the case. Traditional video production has many limitations, and here's how L&D teams approached video creation before leveraging AI.
Stat 6: 16% of respondents have not made videos before using AI because it's too time-consuming, they lack specialized skills, and it's too costly.
Stat 7: The top 3 most time-consuming aspects of traditional video production in L&D are: editing, filming/creation, scriptwriting.
Stat 8: The top 3 biggest obstacles for producing video content for L&D in 2023 are: time, updating/re-recording content, ensuring videos are engaging.
Stat 9: The 4 primary benefits of using AI tools in video production are: reduced production time, reduced production cost, ease of updating content and ease of localization.
Beyond numbers: what do the experts think?
Ease of updating is the master key that opens many new doors for potential video delivery...
I’m surprised and saddened that people are still seeing time, costs, and skills as a barrier to creating video content...
Traditional video production vs AI
Most respondents have created videos the traditional way before turning to AI video production.
Stat 10: Before AI video, an employee spent an average of 45 hours per month producing training videos. With Synthesia, they can save up to 34% of this time.
Stat 11: After using AI, the average training video length was reduced by 1.2 minutes, which is a 12% decrease.
Stat 12: Training video production time decreased from 13 days to 5 days on average since using AI, which is a 62% decrease.
Stat 13: 43% of respondents claim AI tools have replaced traditional video production processes in their organization.
Stat 14: The top 3 parts of video production that have been fully or partially replaced by AI are: voiceover actors, self-recording (video&audio), video production companies.
Beyond numbers: what do the experts think?
Wow… that video production time saved figure is impressive...
One the biggest aspect I am looking AI to improve is the editing aspect...
The big benefit I see here is the reduction in average video length...
The effectiveness of video in L&D
Video is undoubtedly an attractive format for training, appealing to both students and L&D professionals.
Stat 15: 97% of respondents find video effective in helping employees retain information they get in training.
Stat 16: 97% of L&D professionals find video more effective than text-based documents.
Stat 17: Most popular metrics used to measure the success of video-based training: learning satisfaction scores, course completion rate, average time to completion.
Stat 18: 57% of respondents have seen a positive impact on the completion rates of training courses with the use of AI video.
Stat 19: 60% of respondents have seen a positive impact on the average time to completion of training courses with the use of AI video.
Stat 20: 68% of respondents have seen a positive impact on the learning satisfaction scores of training courses with the use of AI video.
Beyond numbers: what do the experts think?
I think one of the nice things about video over other formats is that you can track it...
We all know how to watch a video...
97 pc! That’s quite impressive...
The future of AI video in L&D
The data shared in this report indicates that AI video is becoming increasingly important in the L&D space. The insights shared by Synthesia users show that video is a valuable tool for training, but that creating high-quality videos can be challenging.
However, AI video solutions are proving to be a game-changer, making video production faster, more cost-effective, and more accessible. As L&D experts seek to improve their training programs and keep pace with the latest trends, AI video is definitely worth exploring.