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45+ Machine Learning Statistics on Market Size, Industry, Growth (2022)

Last updated: 1 month ago
7 min read

More than 68% of all companies in the world use machine learning.

Discover the numbers behind machine learning’s market size and growth, and how fast are companies adopting this data science tech that made our lives much easier.

Do you know how are companies implementing machine learning? And how it affects your life?

Read more in this article.

Woman standing on animation

Machine Learning Statistics (2022)

What is the machine learning market size?

Machine learning market growth

How many companies use machine learning?

How fast are companies adopting machine learning?

Machine learning adoption by region

What’s the impact of machine learning?

How much are companies investing in machine learning?

What are the most common uses of machine learning?

What business sectors use machine learning the most?

How machine learning helped companies?

Interesting Machine Learning Music Statistics

  • The global machine learning market was worth $15.44 billion in 2021, and it’s expected to reach $21.17 billion in 2022.
  • From 2020 to 2021, the machine learning market value rose by 251%.
  • More than 68% of companies worldwide already use machine learning.
  • With 63%, Israel has the highest machine learning adoption rate, whereas Nigeria has the lowest at 23%.
  • By using machine learning, Amazon improved its click-to-ship rate by 225%.

What is the machine learning market size?

The machine learning market size was worth $15.44 billion in 2021.

Global machine learning market size

It’s expected to rise to $21.17 billion in 2022.

(FBI)

YearMachine learning
global market size
2029$209.91 billion
2027$44.3 billion
2022$21.17 billion
2021$15.44 billion
2020$4.4 billion
2019$8 billion
2018$6.9 billion
2017$1.41 billion
2016$1.03 billion
(Source: GlobeNewswire, GVR, Twitter, MaM)

In North America, the machine learning industry market size was $5.56 billion in 2021 and $4.05 billion in 2020.

(FBI)

Newsle machine learning software has the biggest global market share at 88.71%.

Followed by TensorFlow at 3.38%, Torch at 2.75%, and Other at 5.16%.

Machine learning
software
Global
market share
Newsle88.71%
TensorFlow3.38%
Torch2.75%
Other5.16%
(Statista)

Machine learning market growth

The machine learning market is predicted to rise to $209.91 in 2029 at a CAGR of 38.8%.

Global machine learning market size growth

Table of global machine learning market size growth:

YearMachine learning
global market growth
2029+373.8%
2027+109.2%
2022+37.1%
2021+251%
2020-45%
2019+16%
2018+389.3%
2017+36.9%
2016/
(GlobeNewswire) (GVR) (Twitter) (MaM)

Calculated from market size data.

How many companies use machine learning?

Around 76% of companies have prioritized machine learning and AI in their IT budgets for 2021.

46% of companies think machine learning and AI are very important, with 25% saying they should’ve focused on machine learning much sooner.

(Forbes)

68% of companies worldwide already use machine learning.

More than 68% of companies already use machine learning

Based on the survey of 500 CEOs worldwide in 2021.

  • 72% of CTOs think machine learning will become prominent technology in the upcoming years.

(ITProPortal)

How fast are companies adopting machine learning?

Approximately 44.6% of companies were already using machine learning in 2020.

At the time, another 21.1% explored the possibility of using machine deep learning.

State of machine learning
in companies
Percentage
Already in use17.2%
Recently started using16.2%
Using to generate insights11.2%
Exploring the possibility21.1%
Not in use20%
Employers aren’t aware
of a company using it
14.3%
(Kaggle)

Machine learning adoption by country

As of 2020, Israel had the highest global machine learning adoption rate at 63%.

CountryMachine learning
adoption rate
Israel63%
Netherlands57%
USA56%
UK
& Northern Ireland
54%
Germany54%
Australia53%
France52%
China52%
Taiwan51%
Greece49%
Poland48.5%
Malaysia48.2%
South Africa47.6%
Portugal45.6%
Canada45.4%
India45%
Sweden44.9%
Japan44.9%
Singapore44.2%
Vietnam44%
Mexico43.8%
Brazil43.6%
Spain43.4%
South Korea43.3%
Russia42.7%
Tunisia42.6%
Italy42.2%
Chile42.2%
Turkey41.6%
Pakistan37%
Peru35.4%
Ukraine35%
Iran34.5%
Kenya33.8%
Thailand33.3%
Indonesia32.9%
Colombia32.8%
Argentina32%
Philippines31%
Egypt31%
Morocco24%
Nigeria23%
(Kaggle)

Countries with the highest percentage of companies exploring machine learning methods.

CountryPercentage
Chile36%
Sweden35%
Malaysia32%
South Korea31%
Perú29%
(Kaggle) (BOB)

Reasons why companies want to adopt machine learning.

Reasons for machine
learning adoption
Percentage
Risk management82%
Performance analysis
and reporting
74%
Trading & investing
idea generation
63%
Automation61%
(Refinitiv)

What’s the impact of machine learning?

The use of machine learning in marketing and sales can increase customer satisfaction by 10%.

Around 57% of enterprises think that the biggest benefit of machine learning is to increase customer experience and support.

(Medium)

75% of companies in 2018 used machine learning and AI to improve customer experience by 10%.

(Forbes 2)

More than 58% of enterprises use machine learning and AI to tackle marketing problems.

(Forbes 2)

By improving demand forecasting, machine learning can increase revenue, improve retailers’ assortment efficiency, and increase online sales due to dynamic pricing.

It can also result in fewer items returned and up to 20% stock reduction.

Machine learning impact%
Increase in revenue2%
Retailers’ assortment
efficiency
50%
Increase in
online sales
30%
Stock reduction20%
(Forbes 2)

That is how companies have used machine learning and AI in 2020 and 2021.

Use of machine learning20202021
Generating customer
insights/data
37%50%
Improving customer
experience
34%57%
Retaining customers29%31%
Interacting
with customers
28%48%
Recommender
systems
27%27%
Detecting fraud27%46%
Reducing customer
churn
26%22%
Acquiring new
customers
26%34%
Increasing customer
loyalty
20%40%
Increasing long-term
customer engagement
19%44%
Building
brand awareness
14%31%
Others15%1%
(Statista 2)

Around 61% of office workers claim that introducing AI and machine learning improved their productivity.

Areas that AI and ML
can improve work
Percentage
Productivity61%
Decision
making
49%
Creativity38%
Collaboration
between teams
37%
Engagement
with customers
35%
(Snaplogic)

How much are companies investing in machine learning?

50% of companies spent more of their budget on machine learning in 2021 compared to previous years.

50% of companies are increasing their machine learning budgets

20% of them plan to significantly increase the budget.

(Forbes)

The percentage of how much companies’ budgets for machine learning and AI have changed between 2018-2020.

Companies’ budget change
for AI & machine learning
2018-20192019-2020
Decrease2%4%
No change27%13%
Increase
by 1-25%
43%34%
Increase
by 26-50%
21%29%
Increase
by 51-75%
4%13%
Increase
above 75%
3%7%
(Statista 3)

What are the most common uses of machine learning?

Here are the 11 most common uses of machine learning.

  • Real-time chatbot agents
  • Decision support – Global clinical decision support system (CDSS) market was worth $1.2 billion in 2021 (TMR).
  • Customer recommendation engines – Global customer recommendation engine market was worth $1.77 billion in 2020 (GVR 2).
  • Customer churn modeling 
  • Dynamic pricing tactics – 21% of e-commerce companies in the EU and US were already using dynamic pricing in 2021, with 15% planning to introduce it, while 27% were still evaluating (Statista 4).
  • Market research and customer segmentation – E-mail marketing (targeted advertising) can bring back 77% of the investment (Wigzo).
  • Fraud detection – The market was worth $25.66 billion in 2021 (FBI 2). According to ReserachGate, 0.4% of transactions are fraudulent (ResearchGate).
  • Image classifications and recognition – Global image recognition market was worth $23.82 billion in 2019 (FBI 3).
  • Operational effectiveness
  • Informational extraction
  • Voice assistants – Worldwide use of voice assistants has increased by 7% during the pandemic. Daily use of voice assistants in the US rose by 5% from Q4 2019 to Q1 2022 (Voicebot) (Aum).

What business sectors use machine learning the most?

Here are business sectors that use machine learning the most.

  • Copywriting
  • Contact Centers – Company Peraton improved its first call resolution rate by 25% while reducing call volume and costs by 5%, all by adding machine learning capabilities to its contact centers (Forbes 3).
  • E-commerce
  • Insurance – Machine learning is mostly used in new businesses (56%) and claims (40%) under the “Property/Casualty” insurance value section and in new businesses (39%) and customer experience (26%) under the “Life/Annuity” insurance value section (Ijitee).
  • Humanitarian Aid
  • Consumer Goods
  • Healthcare – With the help of AI, statistical modeling, and machine learning, St. Michael Hospital reduced the mortality rate of high-risk patients by 20% (Marsdd).
  • Banking and Finance – Banks predict they’ll reduce their cost by 22% by 2030, saving up to $1 trillion (SPD Group).
  • Manufacturing – Predictive maintenance is on its way to becoming the fastest growing machine learning tech, increasing from 28% usage in 2020 to 66% usage in 2025 (PWC).
  • Credit card security
  • Housing construction – Machine learning can help assess and reduce risks before construction starts (Digital Builder).
  • Advertising – AI and machine learning ad creation tools can save money and time while increasing customer engagement by up to 40% and boosting conversion rates by 1.5 times (Forbes 4).

(Forbes 5)

Machine learning is mostly used in organizations dealing with business analytics.

Segments that use machine learning the most

Here’s the table of organization segments that use machine learning computer science the most:

Organizations
by segments
Percentages
Business Analytics33%
Security25%
Sales and Marketing16%
Others16%
Customer Service10%
(Statista 5)

How machine learning helps companies?

With the help of machine learning, Amazon managed to improve the click-to-ship rate by 225%.

While humans took to process the package from clicking to shipping in 60-75 minutes, the Kiva, a machine learning robot in the Amazon warehouse, takes only 15 minutes.

Not only that, the company managed to increase its inventory by 50%, reducing operating costs by 20%.

(McKinsey)

Netflix estimates that it saved $1 billion annually by improving search results using machine learning.

According to Netflix, people give up after 90 seconds of unsuccessful searching, which could result in unsubscription and loss for the company.

(McKinsey)

Most common applications that heavily rely on machine learning:

  • Dynamic Pricing – setting a product’s price based on market conditions in real-time.
  • Traffic Prediction – a maps app using machine learning techniques to calculate the quickest route based on previous and current data with 97% accuracy (Google).
  • Speech Recognition – smart assistant understanding your voice commands. More than 50% of mobile users have at least tried using speech recognition in 2020 (Comscore).
  • Smart Manufacturing – reduce cost and time by automating monitoring, quality control, and failure prevention. In the next 5 years, predictive maintenance is expected to grow by 38%, and process automation and visualization by 34% (Eletimes).
  • Autonomous Vehicles – self-driving vehicles that analyze the road using various sensors. In one research with one hour of driving data to feed into a machine learning algorithm, cars successfully reached their destinations 92% of the time (The Brink).
  • Customer Segmentation – product marketing specially tailored toward an individual customer.
  • Healthcare Advancement – apart from predicting mortality rates, machine learning can even more accurately detect breast cancer (89% accuracy) than a pathologist (76% accuracy) (Google Blog).
  • Customer Churn Modeling – a science of predictive modeling of whether a customer might leave and how to retain them.
  • Real Estate Price Prediction – determining the real estate price to get the best deal using metrics like zip code, population density, distance, and rating of nearby restaurants, etc.
  • Content Recommendations – generating content list tailored to your taste on social media and streaming platforms.
  • Customer Support Chat Bots – AI assistants that help you when you can’t speak directly to a human worker.
  • Product Recommendations – using all the data collected from a customer to better target the ads.
  • Plant & Crop Field Monitoring – monitoring crops and more rapidly finding potential diseases or pest damage.
  • Intelligent Video Surveillance – detecting a moving object and identifying usual or potentially dangerous behavior. Machine learning has been up to 95% accurate at detecting what’s happening on the image/video (ResearchGate).
  • Social Media Content Moderation – using machine learning and AI to remove potentially unwanted content, saving up to 95% of the time compared to manual content monitoring (Amazon).

(IDAP Blog)

Machine learning algorithms can predict stock market prices with up to 85% accuracy (one day ahead) using various techniques.

(MDPI)

What are the biggest companies that use machine learning?

Here are some of the biggest companies that use machine learning.

CompanyMarket
value
Description of
the company
Tesla$897 billionElectric vehicle maker using
machine learning for autonomous driving
Nvidia$665 billionSemiconductor design and software company
providing machine learning know-how
to its customers
Meta$448 billionThe company that looks over Facebook,
Messenger and Instagram
Accenture$229 billionConsultancy and professional services firm
with a machine learning research division
ServiceNow$137 billionCloud computing software platform that uses
machine learning to help businesses
manage workflows 
CrowdStrike
Holdings
$62 billionCybersecurity software that leverages
machine learning to automate the
detection of online threats
Palantir
Technologies
$51 billionSoftware firm that specializes in AI and
machine learning platforms so businesses
can unlock insights from their data
Pinterest$28 billionImage- and video-based internet search
and discovery company
(Motley Fool)

Top 10 companies investing in artificial intelligence technology

  • Nvidia
  • IBM
  • Amazon (AWS)
  • Microsoft
  • C3.ai
  • Facebook (Meta)
  • Alphabet
  • Intel
  • Salesforce
  • People.ai

(Analytics Insight)

Conclusion

Machine learning is capable of processing large quantities of big data in a short amount of time, unlike humans. Based on statistics, machine learning is going to get more integrated into our lives: workplace, social media, retail, and apps.

Hopefully, you’ve learned something interesting. Were you aware of how big machine learning (ML) was? How would you use ML methods to solve existing problems?

Let us know in the comments.

Sources: Twitter, FBI, FBI 2, FBI 3, GlobeNewswire, GVR, GVR 2, MaM, Statista, Statista 2, Statista 3, Statista 4, Statista 5, Forbes, Forbes 2, Forbes 3, Forbes 4, Forbes 5, ITProPortal, Kaggle, BOB, Refinitiv, Medium, TMR, Wigzo, ResearchGate, ResearchGate 2, Voicebot, Aum, Ijitee, Marsdd, SPD Group, PWC, Digital Builder, McKinsey, Google, Comscore, Eletimes, The Brink, Google Blog, Amazon, IDAP Blog, Montley Fool, Analytics Insight, Snaplogic, MDPI

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