0
USD
EUR USD GBP
+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)
New

Machine Learning Courses - Global Strategic Business Report

  • PDF Icon

    Report

  • 126 Pages
  • February 2025
  • Region: Global
  • Global Industry Analysts, Inc
  • ID: 6042821
The global market for Machine Learning Courses was valued at US$14.8 Billion in 2024 and is projected to reach US$36.3 Billion by 2030, growing at a CAGR of 16.1% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions.

Global Machine Learning Courses Market - Key Trends & Drivers Summarized

What Are Machine Learning Courses and Why Are They Becoming Essential in Today’s Job Market?

Machine learning (ML) courses equip individuals with the skills and knowledge to develop algorithms and models that enable computers to learn from data and make intelligent predictions. In today’s data-driven world, machine learning has become a fundamental component of fields like data science, artificial intelligence (AI), and big data analytics. As more companies adopt AI and automation to enhance operations, the demand for professionals with machine learning skills has surged. ML courses are now essential for both entry-level employees looking to break into the technology field and seasoned professionals aiming to stay competitive. These courses cover essential ML concepts, from supervised and unsupervised learning to neural networks, natural language processing (NLP), and deep learning. The accessibility of ML courses, offered by universities, online platforms, and specialized institutes, reflects the increasing need for structured learning pathways that address industry-relevant skills.

The flexibility of machine learning courses has made them accessible to a broader audience, including working professionals who can benefit from online and self-paced learning options. This democratization of ML education allows individuals from diverse backgrounds to gain expertise in this high-demand field. Many courses are designed with practical applications in mind, emphasizing hands-on learning through projects, case studies, and real-world datasets. This practical focus helps students build portfolios that demonstrate their skills to potential employers, meeting the growing demand for job-ready candidates. Additionally, as companies increasingly prioritize digital transformation, machine learning skills are becoming valuable across sectors like finance, healthcare, retail, and manufacturing, driving individuals to enroll in ML courses to expand their career prospects.

How Are Technological Advancements Influencing Machine Learning Courses?

Technological advancements have transformed how machine learning courses are designed, delivered, and consumed. Online education platforms like Coursera, edX, and Udacity offer high-quality ML courses in collaboration with leading universities and tech companies, allowing learners worldwide to access content that was once restricted to elite institutions. These platforms have embraced AI to personalize learning experiences, adapting course recommendations and resources based on individual progress. Additionally, advancements in virtual and augmented reality are making their way into ML education, offering interactive experiences that help students visualize complex algorithms and model architectures. For example, students can interact with 3D visualizations of neural networks, gaining a better understanding of their inner workings, which enhances the learning experience for visual and experiential learners.

The use of AI in course design and evaluation also enables more efficient and accurate assessment methods, such as automated grading for coding assignments, immediate feedback on projects, and adaptive testing. Machine learning courses now incorporate tools and platforms that mirror industry practices, including hands-on experience with popular ML frameworks like TensorFlow, PyTorch, and scikit-learn. By integrating these tools into the curriculum, course providers ensure that students acquire practical, industry-relevant skills. Furthermore, cloud computing advancements have expanded the accessibility of ML courses, as students can now work with high-powered computational resources remotely, removing barriers to learning advanced topics such as deep learning, which require substantial processing power. These technological enhancements make ML courses more engaging, relevant, and aligned with the demands of the modern job market.

How Do Shifting Job Market Demands Influence Machine Learning Course Enrollment?

The rapid adoption of machine learning across industries has heightened the need for ML skills, leading to increased enrollment in machine learning courses. As automation, data analytics, and artificial intelligence reshape traditional job roles, more individuals are seeking machine learning expertise to remain competitive. Employers increasingly require ML knowledge not only in data science and tech-focused roles but also in fields like marketing, finance, and operations, where data-driven decision-making is becoming standard. This shift in skill demand has prompted working professionals to upskill through ML courses, often provided by online platforms and technical institutes. Additionally, the COVID-19 pandemic accelerated digital transformation across industries, which further spurred interest in ML skills as businesses leaned on technology to drive efficiency and adaptability in uncertain times.

The educational profile of machine learning course enrollees has broadened, encompassing not only computer science and engineering graduates but also professionals in business, social sciences, and healthcare. With the rise of cross-functional roles, such as data-driven product managers and financial analysts with ML expertise, machine learning courses now attract a more diverse set of learners seeking interdisciplinary skills. Industry certifications from providers like Google, Microsoft, and IBM are also boosting course enrollments, as these certifications validate ML proficiency and enhance employability. Moreover, companies are increasingly supporting employees in enrolling in ML courses, with many providing training stipends or sponsoring courses. This support reflects a growing recognition of the strategic value that machine learning brings to organizational innovation and efficiency.

What Factors Are Driving Growth in the Machine Learning Courses Market?

The growth in the machine learning courses market is driven by several factors, including the integration of AI across industries, increased demand for data-driven decision-making, and the proliferation of flexible, online learning platforms. As AI and machine learning become integral to fields like healthcare, finance, and retail, there is a heightened need for professionals who can develop and deploy ML models effectively. Organizations seeking to implement digital transformation strategies are investing in upskilling their workforce, leading to increased enrollment in machine learning courses. Online platforms offering self-paced, affordable courses have lowered barriers to entry, making it easier for professionals to access high-quality ML education. This accessibility is particularly valuable for individuals outside of traditional tech hubs, allowing a broader population to enter the ML field.

The demand for industry-recognized certifications also propels growth in the machine learning courses market. Certifications from reputable organizations provide learners with a competitive edge in the job market, as these credentials are recognized by employers and signify proficiency in ML skills. Additionally, partnerships between educational institutions and leading technology companies to develop specialized ML courses are expanding the reach and appeal of these programs. As more universities incorporate ML into their core curriculum and partner with online platforms, the number of learners pursuing machine learning expertise continues to rise. Finally, the rise of interdisciplinary applications of ML in areas such as predictive analytics, customer personalization, and automation further drives the demand for courses that teach both technical and business-oriented ML skills, fostering continued growth in the machine learning courses market.

Scope of the Study

The report analyzes the Machine Learning Courses market, presented in terms of market value (US$ Thousand). The analysis covers the key segments and geographic regions outlined below.

Segments:

End-Use (Non-Academic End-Use, Academic End-Use).

Geographic Regions/Countries:

World; USA; Canada; Japan; China; Europe; France; Germany; Italy; UK; Rest of Europe; Asia-Pacific; Rest of World.

Key Insights:

  • Market Growth: Understand the significant growth trajectory of the Non-Academic End-Use segment, which is expected to reach US$24.7 Billion by 2030 with a CAGR of a 16.6%. The Academic End-Use segment is also set to grow at 15.2% CAGR over the analysis period.
  • Regional Analysis: Gain insights into the U.S. market, valued at $3.9 Billion in 2024, and China, forecasted to grow at an impressive 15.1% CAGR to reach $5.5 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.

Report Features:

  • Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
  • In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
  • Company Profiles: Coverage of major players such as BitBootCamp, Codebasics.io, Cognitive Class, Cognixia, Coursera, Inc. and more.
  • Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.

Why You Should Buy This Report:

  • Detailed Market Analysis: Access a thorough analysis of the Global Machine Learning Courses Market, covering all major geographic regions and market segments.
  • Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
  • Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Machine Learning Courses Market.
  • Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.

Key Questions Answered:

  • How is the Global Machine Learning Courses Market expected to evolve by 2030?
  • What are the main drivers and restraints affecting the market?
  • Which market segments will grow the most over the forecast period?
  • How will market shares for different regions and segments change by 2030?
  • Who are the leading players in the market, and what are their prospects?

Some of the 42 companies featured in this Machine Learning Courses market report include:

  • BitBootCamp
  • Codebasics.io
  • Cognitive Class
  • Cognixia
  • Coursera, Inc.
  • Databricks, Inc.
  • Dataca
  • Edvancer Eduventures Pvt., Ltd.
  • edX, Inc.
  • Global Knowledge Training LLC

Table of Contents

I. METHODOLOGYII. EXECUTIVE SUMMARY
1. MARKET OVERVIEW
Influencer Market Insights
World Market Trajectories
Machine Learning Courses - Global Key Competitors Percentage Market Share in 2024 (E)
Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)
2. FOCUS ON SELECT PLAYERS
3. MARKET TRENDS & DRIVERS
Rising Demand for Data Science and AI Skills in the Job Market Spurs Growth in Machine Learning Course Enrollments Across Online and Offline Platforms
Increasing Use of Machine Learning in Business and Industry Expands Addressable Market for Specialized Machine Learning Training and Certifications
Advances in Machine Learning Applications Throw the Spotlight on Courses Offering Real-World, Industry-Relevant Skills for Learners
Growing Integration of Machine Learning in Software Development Strengthens Business Case for Targeted Machine Learning Courses for Programmers
Demand for Upskilling and Reskilling in the Workforce Accelerates Enrollment in Professional and Corporate Machine Learning Training Programs
Surge in Affordable and Accessible Online Learning Platforms Expands the Market for Machine Learning Courses, Especially Among Working Professionals
Increasing Awareness of the Role of Machine Learning in Digital Transformation Generates Demand for Foundational and Advanced Machine Learning Courses
Rising Interest in AI and Automation Technologies Among Young Professionals Drives Demand for Entry-Level Machine Learning Courses and Bootcamps
Development of Machine Learning Models in Non-Technical Fields Expands Addressable Market, Drawing in Learners from Diverse Backgrounds and Disciplines
Growing Popularity of Data-Driven Decision Making in Business and Policy Sectors Spurs Demand for Practical, Project-Based Machine Learning Training
Technological Advances in Learning Platforms Enable Interactive and Hands-On Machine Learning Training, Increasing Student Engagement and Retention
4. GLOBAL MARKET PERSPECTIVE
TABLE 1: World Machine Learning Courses Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030
TABLE 2: World Recent Past, Current & Future Analysis for Machine Learning Courses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
TABLE 3: World Historic Review for Machine Learning Courses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 4: World 15-Year Perspective for Machine Learning Courses by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2015, 2025 & 2030
TABLE 5: World Recent Past, Current & Future Analysis for Non-Academic End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
TABLE 6: World Historic Review for Non-Academic End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 7: World 15-Year Perspective for Non-Academic End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
TABLE 8: World Recent Past, Current & Future Analysis for Academic End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
TABLE 9: World Historic Review for Academic End-Use by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 10: World 15-Year Perspective for Academic End-Use by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
III. MARKET ANALYSIS
UNITED STATES
Machine Learning Courses Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
TABLE 11: USA Recent Past, Current & Future Analysis for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
TABLE 12: USA Historic Review for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 13: USA 15-Year Perspective for Machine Learning Courses by End-Use - Percentage Breakdown of Value Sales for Non-Academic End-Use and Academic End-Use for the Years 2015, 2025 & 2030
CANADA
TABLE 14: Canada Recent Past, Current & Future Analysis for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
TABLE 15: Canada Historic Review for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 16: Canada 15-Year Perspective for Machine Learning Courses by End-Use - Percentage Breakdown of Value Sales for Non-Academic End-Use and Academic End-Use for the Years 2015, 2025 & 2030
JAPAN
Machine Learning Courses Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
TABLE 17: Japan Recent Past, Current & Future Analysis for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
TABLE 18: Japan Historic Review for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 19: Japan 15-Year Perspective for Machine Learning Courses by End-Use - Percentage Breakdown of Value Sales for Non-Academic End-Use and Academic End-Use for the Years 2015, 2025 & 2030
CHINA
Machine Learning Courses Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
TABLE 20: China Recent Past, Current & Future Analysis for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
TABLE 21: China Historic Review for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 22: China 15-Year Perspective for Machine Learning Courses by End-Use - Percentage Breakdown of Value Sales for Non-Academic End-Use and Academic End-Use for the Years 2015, 2025 & 2030
EUROPE
Machine Learning Courses Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
TABLE 23: Europe Recent Past, Current & Future Analysis for Machine Learning Courses by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
TABLE 24: Europe Historic Review for Machine Learning Courses by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 25: Europe 15-Year Perspective for Machine Learning Courses by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2015, 2025 & 2030
TABLE 26: Europe Recent Past, Current & Future Analysis for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
TABLE 27: Europe Historic Review for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 28: Europe 15-Year Perspective for Machine Learning Courses by End-Use - Percentage Breakdown of Value Sales for Non-Academic End-Use and Academic End-Use for the Years 2015, 2025 & 2030
FRANCE
Machine Learning Courses Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
TABLE 29: France Recent Past, Current & Future Analysis for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
TABLE 30: France Historic Review for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 31: France 15-Year Perspective for Machine Learning Courses by End-Use - Percentage Breakdown of Value Sales for Non-Academic End-Use and Academic End-Use for the Years 2015, 2025 & 2030
GERMANY
Machine Learning Courses Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
TABLE 32: Germany Recent Past, Current & Future Analysis for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
TABLE 33: Germany Historic Review for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 34: Germany 15-Year Perspective for Machine Learning Courses by End-Use - Percentage Breakdown of Value Sales for Non-Academic End-Use and Academic End-Use for the Years 2015, 2025 & 2030
ITALY
TABLE 35: Italy Recent Past, Current & Future Analysis for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
TABLE 36: Italy Historic Review for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 37: Italy 15-Year Perspective for Machine Learning Courses by End-Use - Percentage Breakdown of Value Sales for Non-Academic End-Use and Academic End-Use for the Years 2015, 2025 & 2030
UNITED KINGDOM
Machine Learning Courses Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
TABLE 38: UK Recent Past, Current & Future Analysis for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
TABLE 39: UK Historic Review for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 40: UK 15-Year Perspective for Machine Learning Courses by End-Use - Percentage Breakdown of Value Sales for Non-Academic End-Use and Academic End-Use for the Years 2015, 2025 & 2030
REST OF EUROPE
TABLE 41: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
TABLE 42: Rest of Europe Historic Review for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 43: Rest of Europe 15-Year Perspective for Machine Learning Courses by End-Use - Percentage Breakdown of Value Sales for Non-Academic End-Use and Academic End-Use for the Years 2015, 2025 & 2030
ASIA-PACIFIC
Machine Learning Courses Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
TABLE 44: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
TABLE 45: Asia-Pacific Historic Review for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 46: Asia-Pacific 15-Year Perspective for Machine Learning Courses by End-Use - Percentage Breakdown of Value Sales for Non-Academic End-Use and Academic End-Use for the Years 2015, 2025 & 2030
REST OF WORLD
TABLE 47: Rest of World Recent Past, Current & Future Analysis for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
TABLE 48: Rest of World Historic Review for Machine Learning Courses by End-Use - Non-Academic End-Use and Academic End-Use Markets - Independent Analysis of Annual Sales in US$ Million for Years 2015 through 2023 and % CAGR
TABLE 49: Rest of World 15-Year Perspective for Machine Learning Courses by End-Use - Percentage Breakdown of Value Sales for Non-Academic End-Use and Academic End-Use for the Years 2015, 2025 & 2030
IV. COMPETITION

Companies Mentioned

  • BitBootCamp
  • Codebasics.io
  • Cognitive Class
  • Cognixia
  • Coursera, Inc.
  • Databricks, Inc.
  • Dataca
  • Edvancer Eduventures Pvt., Ltd.
  • edX, Inc.
  • Global Knowledge Training LLC

Table Information