GITNUXREPORT 2025

Lambda Statistics

AWS Lambda accelerates development, supports multiple languages, and processes trillions.

Jannik Linder

Co-Founder of Gitnux, specialized in content and tech since 2016.

First published: April 29, 2025

Our Commitment to Accuracy

Rigorous fact-checking • Reputable sources • Regular updatesLearn more

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3. In 2023, Lambda was used by more than 70% of AWS cloud customers

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5. Lambda functions are invoked over 1 trillion times monthly across the AWS platform

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6. 65% of serverless applications rely on Lambda for core processing

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9. Approximately 30% of organizations adopting a serverless architecture choose Lambda as their primary compute service

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11. The global serverless market, with Lambda as a key component, is projected to reach $20 billion by 2025

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12. 40% of developers report using Lambda for event-driven applications

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14. Lambda is integrated with over 200 AWS services

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16. 55% of serverless workloads run in North America

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19. 70% of Lambda functions are triggered via API Gateway

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20. The estimated number of Lambda functions deployed worldwide exceeds 10 million

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21. Serverless compute, including Lambda, will account for nearly 14% of cloud workloads by 2024

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23. 80% of enterprise serverless applications utilize Lambda for real-time data processing

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24. Lambda functions are responsible for processing over 90% of event-based triggers within AWS

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26. The number of AWS Lambda invocations has increased roughly 150% since 2021

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28. The most common Lambda event sources include S3, DynamoDB, and API Gateway, covering over 75% of invocations

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29. About 20% of Lambda functions are used for machine learning inference tasks

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30. 50% of DevOps teams have integrated Lambda into their CI/CD pipelines

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34. 85% of serverless applications adopted Lambda within their first year of implementation

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37. 68% of enterprise developers prefer serverless solutions for new projects

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40. Over 90% of Lambda functions are triggered by events from other AWS services

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41. 80% of Fortune 100 companies are using serverless architectures including Lambda

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44. AWS Lambda's regional presence spans 25 global regions, supporting worldwide deployment

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46. Serverless frameworks and tools have seen a 200% increase in adoption over the past three years

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48. The median number of Lambda daily invocations per user is approximately 1,200

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49. Approximately 25% of Lambda uses are for data transformation tasks, according to recent surveys

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50. AWS Lambda is used in 60% of modern microservices architectures

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52. The average number of function invocations per AWS account is about 5 million per month

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53. The growth rate of serverless adoption is approximately 40% annually

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54. Around 70% of new cloud-native applications incorporate Lambda in their architecture

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55. 85% of Lambda functions are invoked via REST API calls

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56. Over 200,000 developers worldwide contribute to open-source serverless projects

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60. 35% of Lambda functions use custom layers to share code across multiple functions

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64. The adoption rate of Lambda functions in startups grew by over 150% in 2022

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65. 65% of enterprise IoT solutions utilize Lambda for event processing

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72. 50% of Lambda functions serve as backend components for mobile applications

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73. The number of serverless applications predicted to double by 2024

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75. The global market for serverless computing is expected to grow at a CAGR of 24% from 2023 to 2028

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42. According to a survey, 55% of developers plan to increase their serverless usage in the next two years

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59. Serverless applications show a 35% faster time to market compared to traditional architectures

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63. Approximately 60% of serverless developers report that Lambda improves operational agility

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7. The median duration for a Lambda invocation is around 200 milliseconds

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8. Cost savings of up to 60% have been reported when migrating workloads to Lambda

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10. Lambda's scalability allows for thousands of concurrent executions per region

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13. AWS Lambda functions can handle up to 15 minutes of execution time per invocation

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15. The average memory allocated to a Lambda function is around 512 MB

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17. In 2022, AWS Lambda had an uptime availability of 99.99%

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18. Around 45% of organizations report reducing development time by more than 50% when adopting Lambda

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22. The average invocation duration for Lambda during the last year is declining by approximately 10%

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25. Cost analysis shows that organizations reduce their cloud bills by about $10,000 annually by switching to serverless

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27. 60% of developers report that serverless reduces operational complexity

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31. AWS Lambda's maximum package size is 250 MB, enabling complex applications to be deployed

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32. The average Lambda function cost per million requests is approximately $0.20

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33. The average number of dependencies per Lambda function is around 10, indicating growing complexity

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36. The average deployment size for Lambda functions is about 15 MB, facilitating quick updates

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43. The average CPU utilization of Lambda functions during peak load exceeds 70%

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47. Cost model efficiencies result in an average reduction of operational costs by 37%

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51. 45% of organizations report improved application resilience with serverless

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57. The average Lambda timeout duration across services is approximately 5 seconds

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58. Cost reductions from serverless computing enable companies to redirect budgets towards innovation projects

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62. Lambda functions executing in VPCs have an average latency increase of 10-20 milliseconds

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66. The average cost per Lambda invocation decreases as the number of monthly requests grows, due to tiered pricing

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69. Serverless architectures like Lambda help reduce application downtime by 25%

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71. 72% of organizations report that serverless enables faster scaling during traffic spikes

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74. 80% of enterprise serverless deployments include monitoring and security features

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1. Over 85% of AWS Lambda users report faster development cycles

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4. The average cold start time for AWS Lambda functions is approximately 300 milliseconds

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35. Lambda functions that leverage provisioned concurrency experience 30% lower cold start latency

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39. Lambda functions optimized for memory allocation show up to 25% improved performance

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61. The latency of Lambda functions has improved by 15% after recent firmware updates

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67. Lambda functions with optimized memory settings generate 20-30% faster results

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70. AWS Lambda profiling tools help developers reduce function execution time by up to 40%

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2. AWS Lambda supports over 17 programming languages

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38. AWS Lambda frequently updates its runtime environments with new features and bug fixes quarterly

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45. The most common runtime environment for Lambda is Node.js, used in about 50% of functions

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68. Over 50% of Lambda functions are written in Python, followed by Node.js and Java

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Sources

Our Reports have been cited by:

Trust Badges - Publications that have cited our reports

Key Highlights

1. Over 85% of AWS Lambda users report faster development cycles
2. AWS Lambda supports over 17 programming languages
3. In 2023, Lambda was used by more than 70% of AWS cloud customers
4. The average cold start time for AWS Lambda functions is approximately 300 milliseconds
5. Lambda functions are invoked over 1 trillion times monthly across the AWS platform
6. 65% of serverless applications rely on Lambda for core processing
7. The median duration for a Lambda invocation is around 200 milliseconds
8. Cost savings of up to 60% have been reported when migrating workloads to Lambda
9. Approximately 30% of organizations adopting a serverless architecture choose Lambda as their primary compute service
10. Lambda's scalability allows for thousands of concurrent executions per region
11. The global serverless market, with Lambda as a key component, is projected to reach $20 billion by 2025
12. 40% of developers report using Lambda for event-driven applications
13. AWS Lambda functions can handle up to 15 minutes of execution time per invocation

Did you know that over 70% of AWS cloud customers rely on Lambda for their core processing needs, with the platform now executing over a trillion functions monthly and helping organizations cut operational costs by up to 60%, making it a powerhouse in the world of serverless computing?

Adoption and Usage Statistics

3. In 2023, Lambda was used by more than 70% of AWS cloud customers
5. Lambda functions are invoked over 1 trillion times monthly across the AWS platform
6. 65% of serverless applications rely on Lambda for core processing
9. Approximately 30% of organizations adopting a serverless architecture choose Lambda as their primary compute service
11. The global serverless market, with Lambda as a key component, is projected to reach $20 billion by 2025
12. 40% of developers report using Lambda for event-driven applications
14. Lambda is integrated with over 200 AWS services
16. 55% of serverless workloads run in North America
19. 70% of Lambda functions are triggered via API Gateway
20. The estimated number of Lambda functions deployed worldwide exceeds 10 million
21. Serverless compute, including Lambda, will account for nearly 14% of cloud workloads by 2024
23. 80% of enterprise serverless applications utilize Lambda for real-time data processing
24. Lambda functions are responsible for processing over 90% of event-based triggers within AWS
26. The number of AWS Lambda invocations has increased roughly 150% since 2021
28. The most common Lambda event sources include S3, DynamoDB, and API Gateway, covering over 75% of invocations
29. About 20% of Lambda functions are used for machine learning inference tasks
30. 50% of DevOps teams have integrated Lambda into their CI/CD pipelines
34. 85% of serverless applications adopted Lambda within their first year of implementation
37. 68% of enterprise developers prefer serverless solutions for new projects
40. Over 90% of Lambda functions are triggered by events from other AWS services
41. 80% of Fortune 100 companies are using serverless architectures including Lambda
44. AWS Lambda's regional presence spans 25 global regions, supporting worldwide deployment
46. Serverless frameworks and tools have seen a 200% increase in adoption over the past three years
48. The median number of Lambda daily invocations per user is approximately 1,200
49. Approximately 25% of Lambda uses are for data transformation tasks, according to recent surveys
50. AWS Lambda is used in 60% of modern microservices architectures
52. The average number of function invocations per AWS account is about 5 million per month
53. The growth rate of serverless adoption is approximately 40% annually
54. Around 70% of new cloud-native applications incorporate Lambda in their architecture
55. 85% of Lambda functions are invoked via REST API calls
56. Over 200,000 developers worldwide contribute to open-source serverless projects
60. 35% of Lambda functions use custom layers to share code across multiple functions
64. The adoption rate of Lambda functions in startups grew by over 150% in 2022
65. 65% of enterprise IoT solutions utilize Lambda for event processing
72. 50% of Lambda functions serve as backend components for mobile applications
73. The number of serverless applications predicted to double by 2024
75. The global market for serverless computing is expected to grow at a CAGR of 24% from 2023 to 2028

Adoption and Usage Statistics Interpretation

Lambda's dominance in the cloud arena is as clear as ever, with over 70% of AWS users relying on it to power over a trillion monthly invocations—highlighting that in the race between traditional servers and serverless, Lambda is not just leading but practically running the race at the speed of API Gateway triggers.

Market Trends and Industry Insights

42. According to a survey, 55% of developers plan to increase their serverless usage in the next two years
59. Serverless applications show a 35% faster time to market compared to traditional architectures
63. Approximately 60% of serverless developers report that Lambda improves operational agility

Market Trends and Industry Insights Interpretation

With 55% of developers gearing up to boost serverless adoption, 59% citing faster time to market, and around 60% affirming Lambda’s boost to operational agility, it's clear that Lambda is not just a fleeting trend but the catalyst transforming development into a faster, more agile arena.

Operational Performance Indicators

7. The median duration for a Lambda invocation is around 200 milliseconds
8. Cost savings of up to 60% have been reported when migrating workloads to Lambda
10. Lambda's scalability allows for thousands of concurrent executions per region
13. AWS Lambda functions can handle up to 15 minutes of execution time per invocation
15. The average memory allocated to a Lambda function is around 512 MB
17. In 2022, AWS Lambda had an uptime availability of 99.99%
18. Around 45% of organizations report reducing development time by more than 50% when adopting Lambda
22. The average invocation duration for Lambda during the last year is declining by approximately 10%
25. Cost analysis shows that organizations reduce their cloud bills by about $10,000 annually by switching to serverless
27. 60% of developers report that serverless reduces operational complexity
31. AWS Lambda's maximum package size is 250 MB, enabling complex applications to be deployed
32. The average Lambda function cost per million requests is approximately $0.20
33. The average number of dependencies per Lambda function is around 10, indicating growing complexity
36. The average deployment size for Lambda functions is about 15 MB, facilitating quick updates
43. The average CPU utilization of Lambda functions during peak load exceeds 70%
47. Cost model efficiencies result in an average reduction of operational costs by 37%
51. 45% of organizations report improved application resilience with serverless
57. The average Lambda timeout duration across services is approximately 5 seconds
58. Cost reductions from serverless computing enable companies to redirect budgets towards innovation projects
62. Lambda functions executing in VPCs have an average latency increase of 10-20 milliseconds
66. The average cost per Lambda invocation decreases as the number of monthly requests grows, due to tiered pricing
69. Serverless architectures like Lambda help reduce application downtime by 25%
71. 72% of organizations report that serverless enables faster scaling during traffic spikes
74. 80% of enterprise serverless deployments include monitoring and security features

Operational Performance Indicators Interpretation

AWS Lambda's impressive median invocation time of 200 milliseconds and 99.99% uptime underscore its reliability, while its ability to cut costs by up to 60%, reduce deployment sizes to 15 MB, and lower operational expenses by 37% makes it a compelling choice—yet, as complexity grows with dependencies and concurrency, so does the challenge of maintaining efficiency amid a scalable, serverless future.

Performance Metrics and User Satisfaction

1. Over 85% of AWS Lambda users report faster development cycles
4. The average cold start time for AWS Lambda functions is approximately 300 milliseconds
35. Lambda functions that leverage provisioned concurrency experience 30% lower cold start latency
39. Lambda functions optimized for memory allocation show up to 25% improved performance
61. The latency of Lambda functions has improved by 15% after recent firmware updates
67. Lambda functions with optimized memory settings generate 20-30% faster results
70. AWS Lambda profiling tools help developers reduce function execution time by up to 40%

Performance Metrics and User Satisfaction Interpretation

While over 85% of AWS Lambda users enjoy faster development cycles and recent firmware tweaks boost latency by a notable 15%, optimizing memory and leveraging provisioned concurrency can slash cold start times by up to 30%, proving that strategic configuration remains key to unlocking Lambda's true speed potential.

Programming Languages and Compatibility

2. AWS Lambda supports over 17 programming languages
38. AWS Lambda frequently updates its runtime environments with new features and bug fixes quarterly
45. The most common runtime environment for Lambda is Node.js, used in about 50% of functions
68. Over 50% of Lambda functions are written in Python, followed by Node.js and Java

Programming Languages and Compatibility Interpretation

While AWS Lambda's multilingual support and quarterly updates showcase its versatility and commitment to innovation, the fact that over half of the functions rely on Python and Node.js underscores a curious hierarchy where these languages dominate, leaving Java and other runtimes playing geographic catch-up in the serverless universe.