2020 state of enterprise machine learning

Algorithmia has talked with thousands of people in various stages of machine learning (ML) maturity and in various roles connected to ML. Following the report we published last year, we conducted a two-prong survey this year, polling nearly 750 people across all industries from companies actively engaged in building ML lifecycles to those just beginning their ML journeys.

We analyzed the responses from both survey groups for insight into their work, their companies’ ML roadmaps, and the changes they’ve seen in recent months concerning ML development. Our 2020 State of Enterprise ML report includes the findings of that effort as well as our analysis of the results.

Below we have shared eight questions that were posed in our survey and the results associated with each question so you can explore the data, conduct your own analysis, and see how your company compares to others like it.

After you explore the data, download the 2020 State of Enterprise ML report to read our analysis and see where we think ML development is headed.

Filter results by
Responses from 737 survey respondents

Which title best describes your position at your organization?

This graph displays the top eight answers.
Responses from 732 survey respondents

Which industry do you currently work in?

IT
33%
Software
20%
Banking and finance
10%
Consultancy
10%
Healthcare and biotech
8%
Education
8%
Manufacturing
7%
Business
5%
This graph displays the top eight answers.
Responses from 716 survey respondents

How many data scientists does your company employ?

Click the chart to zoom out on the y axis. Once you are fully zoomed out (0-4,000 on the y axis), click again to return to the default state. Hover over a dot to see how many respondents selected that answer.
This was a write-in question, and answers ranged from 0-4,000 data scientists. This graph displays the answers from the top eight industries.

This was a write-in question, and answers ranged from 0-4,000 data scientists.

49%

49% of survey respondents answered 1-10 data scientists

Responses from 731 survey respondents

How many individuals are employed by your organization worldwide?

< 500
44%
501-1,000
9%
1,001-5,000
16%
5,001-10,000
9%
> 10,000
20%
Responses from 582 survey respondents

What percentage of your data scientists' time is spent deploying ML models?

36%

36% of survey participants said their data scientists spend a quarter of their time deploying ML models

36%

36% of survey participants said their data scientists spend a quarter to half of their time deploying ML models

20%

20% of survey participants said their data scientists spend half to three-quarters of their time deploying ML models

7%

7% of survey participants said their data scientists spend more than three-quarters of their time deploying ML models

1% of respondents said they were unsure.
Responses from 647 survey respondents

On average, how long does it take your organization to put a trained model into scaled production?

0-7 days
12%
8-30 days
32%
31-90 days
33%
91-365 days
18%
More than 1 year
6%
Responses from 637 survey respondents

What are all the ways you use AI and ML models in your organization today?

  1. Reducing costs

    246 survey respondents
  2. Improving the customer experience

    226 survey respondents
  3. Generating customer insights and intelligence

    220 survey respondents
  4. Retaining customers

    189 survey respondents
  5. Increasing customer satisfaction

    189 survey respondents
  6. Processing automation for internal organization

    184 survey respondents
  1. Reducing costs 246 survey respondents
  2. Improving the customer experience 226 survey respondents
  3. Generating customer insights and intelligence 220 survey respondents
  4. Retaining customers 189 survey respondents
  5. Increasing customer satisfaction 189 survey respondents
  6. Processing automation for internal organization 184 survey respondents
This graph displays the top six answers. Note that respondents were allowed to select multiple answers.
Responses from 648 survey respondents

Which stage of AI/ML adoption are you currently at in your organization?

Evaluating use cases
21%
Just starting to develop models
16%
Developed models and working on getting them into production
19%
Early stage adopters (models in production 1-2 yrs)
21%
Middle stage adopters (models in production 2-4 yrs)
15%
Sophisticated (models in production 5+ yrs)
8%

Download the 2020 State of Enterprise ML report to see our analysis and where we think ML development is headed.

Algorithmia is committed to making our 2020 State of Enterprise Machine Learning report data freely available as part of our vision to empower every organization to achieve its full potential through the use of artificial intelligence and machine learning.

To learn more about Algorithmia and how we deliver the last-mile solution for model deployment, visit our product page.