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市场调查报告书
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1644100

机器学习课程的全球市场

Machine Learning Courses
出版日期: | 出版商: Global Industry Analysts, Inc. | 英文 126 Pages | 商品交期: 最快1-2个工作天内

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简介目录

到 2030 年，全球机器学习课程市场规模将达到 363 亿美元

2024 年全球机器学习课程市场规模估计为 148 亿美元，预计 2024 年至 2030 年期间的复合年增长率为 16.1%，到 2030 年将达到 363 亿美元。非学术最终用途是报告中分析的部分之一，预计到分析期结束时复合年增长率为 16.6%，达到 247 亿美元。在分析期间内，学术终端用途部分的复合年增长率预计为 15.2%。

美国市场规模估计为 39 亿美元，中国市场预估年复合成长率为 15.1%

预计 2024 年美国机器学习课程市场价值将达到 39 亿美元。中国是世界第二大经济体，预计到 2030 年市场规模将达到 55 亿美元，2024-2030 年分析期间的复合年增长率为 15.1%。其他值得注意的区域市场包括日本和加拿大，预计在分析期间的复合年增长率分别为 14.9% 和 13.8%。在欧洲，德国的复合年增长率预计为 11.8%。

全球机器学习课程市场-主要趋势与驱动因素摘要

什么是机器学习课程？

机器学习 (ML) 课程为学生提供开发演算法和模型的技能和知识，使电脑能够从资料中学习并做出智慧预测。在当今资料主导的世界中，机器学习已成为资料科学、人工智慧（AI）和巨量资料分析等领域的基本组成部分。随着越来越多的企业转向人工智慧和自动化来增强业务，对具有机器学习技能的专业人员的需求正在激增。无论是对于希望进入科技领域的新员工，还是对于希望保持竞争力的经验丰富的专业人士来说，机器学习课程都变得至关重要。这些课程涵盖了机器学习的基本概念，从监督学习和无监督学习到神经网路、自然语言处理 (NLP) 和深度学习。大学、线上平台和专业机构提供的机器学习课程的可近性越来越高，这反映了人们对解决行业相关技能的结构化学习途径的需求日益增长。

机器学习课程的灵活性使其可以被更广泛的人群所接受，包括在职成年人也可以从线上和自定进度的学习选项中受益。机器学习教育的民主化使得来自不同背景的人们能够获得这个备受追捧的领域的专业知识。许多课程的设计都考虑到了实际应用，强调透过计划、案例研究和真实资料集进行实践学习。这种实践重点有助于学生建立作品集，向潜在雇主展示他们的技能，并满足对就业准备候选人日益增长的需求。此外，随着企业越来越重视数位转型，机器学习技能在金融、医疗保健、零售和製造等行业变得越来越有价值，使其成为拓展职业可能性的宝贵工具。学习课程。

科技进步如何影响机器学习课程？

科技的进步改变了机器学习课程的设计、交付和消费方式。 Coursera、edX 和 Udacity 等线上教育平台正在与领先的大学和科技公司合作，提供高品质的 ML 课程，让世界各地的学习者能够存取曾经仅限于精英教育机构的内容。这些平台正在利用人工智慧来个人化学习体验，根据个人的进展调整建议的课程和资源。此外，虚拟和扩增实境的进步也被引入到机器学习教育中，提供帮助学生视觉化复杂演算法和模型架构的互动式体验。例如，学生可以与神经网路的 3D 视觉化进行交互，以更深入地了解其内部工作原理。

此外，人工智慧在课程设计和评估中的使用将实现更有效率、更准确的评估方法，例如编码作业的自动评分、计划的即时回馈和自我调整测验。机器学习课程融合了反映行业实践的工具和平台，包括使用 TensorFlow、PyTorch 和 scikit-learn 等流行 ML 框架的实践练习。透过将这些工具纳入课程，课程提供者确保学生获得实用的、与产业相关的技能。此外，云端处理的进步正在扩大机器学习课程的可及性，使学生能够远端使用高效能运算资源，从而加快深度学习等需要强大处理能力的高级主题的学习速度。这些技术改进使得机器学习课程更具吸引力、更具相关性，也更符合现代就业市场的需求。

不断变化的就业市场需求将如何影响机器学习课程的学习？

各行业对机器学习的快速应用增加了对机器学习技能的需求，并导致机器学习课程的报名人数增加。随着自动化、资料分析和人工智慧重塑传统工作角色，越来越多的人寻求机器学习专业知识以保持竞争力。雇主们越来越多地寻求机器学习知识，不仅是针对资料科学和技术特定的职位，而且还包括行销、财务和营运等领域，这些领域中资料主导的决策正成为常态。由于技能需求的变化，在职专业人士正在透过线上平台和技术机构提供的机器学习课程来提升自己的技能。此外，COVID-19 疫情加速了各行各业的数位转型，随着企业在不确定的时期转向机器学习技术来提高效率和适应性，人们对机器学习技能的兴趣进一步增加。

参加机器学习课程的学生的教育背景已扩大到不仅包括电脑科学和工程专业的毕业生，还包括商业、社会科学和医疗保健专业人士。随着跨职能角色的兴起，例如资料驱动的产品经理和具有机器学习专业知识的财务分析师，机器学习课程吸引了更多寻求跨学科技能的不同学习者。此外，Google、微软和 IBM 等提供者提供的行业认证也在推动课程註册，因为它们证明了机器学习能力并提高了就业能力。此外，公司越来越多地支持员工参加机器学习课程，许多公司要么支付培训费用，要么赞助课程。这种支持反映出人们越来越认识到机器学习为组织创新和效率带来的策略价值。

哪些因素推动了机器学习课程市场的成长？

机器学习课程市场的成长受到多种因素的推动，例如人工智慧跨行业的融合、对资料主导决策的需求不断增长以及灵活的线上学习平台的普及。随着人工智慧和机器学习在医疗保健、金融和零售等领域变得至关重要，对能够有效开发和部署机器学习模型的专家的需求也日益增长。希望实施数位转型策略的组织正在投资提高员工的技能，从而增加机器学习课程的报名人数。提供价格合理、自定进度课程的线上平台降低了进入门槛，使专业人士更容易获得优质的机器学习教育。这种可访问性对于传统技术中心之外的人来说尤其有价值，它可以让更多的人进入机器学习领域。

对行业认可认证的需求也推动了机器学习课程市场的成长。来自可信任机构的认证得到雇主的认可，并证明掌握了机器学习技能，为学习者在就业市场上带来竞争优势。此外，透过教育机构和领先的科技公司之间的伙伴关係来发展机器学习专业化，正在扩大这些项目的覆盖范围和吸引力。随着越来越多的大学将机器学习纳入其核心课程并与线上平台合作，追求机器学习专业知识的学习者数量持续增长。最后，机器学习在预测分析、客户个人化和自动化等领域的多学科应用的兴起将进一步推动对教授技术和商业导向的机器学习技能的课程的需求，从而推动机器学习课程市场的成长。了持续增长。

部分

最终用途（非学术最终用途、学术最终用途）

受访公司范例（42家值得关注的公司）

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

目录

第一章调查方法

第 2 章执行摘要

  • 市场概况
  • 主要企业
  • 市场趋势和驱动因素
  • 全球市场展望

第三章 市场分析

  • 美国
  • 加拿大
  • 日本
  • 中国
  • 欧洲
  • 法国
  • 德国
  • 义大利
  • 英国
  • 其他欧洲国家
  • 亚太地区
  • 其他地区

第四章 竞赛

简介目录
Product Code: MCP25540

Global Machine Learning Courses Market to Reach US$36.3 Billion by 2030

The global market for Machine Learning Courses estimated at US$14.8 Billion in the year 2024, is expected to reach US$36.3 Billion by 2030, growing at a CAGR of 16.1% over the analysis period 2024-2030. Non-Academic End-Use, one of the segments analyzed in the report, is expected to record a 16.6% CAGR and reach US$24.7 Billion by the end of the analysis period. Growth in the Academic End-Use segment is estimated at 15.2% CAGR over the analysis period.

The U.S. Market is Estimated at US$3.9 Billion While China is Forecast to Grow at 15.1% CAGR

The Machine Learning Courses market in the U.S. is estimated at US$3.9 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$5.5 Billion by the year 2030 trailing a CAGR of 15.1% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 14.9% and 13.8% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 11.8% CAGR.

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 STUDY:

The report analyzes the Machine Learning Courses market in terms of units by the following Segments, and Geographic Regions/Countries:

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.

Select Competitors (Total 42 Featured) -

  • 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. METHODOLOGY

II. 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