查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1644100

機器學習課程的全球市場

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個工作天內

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

到 2030 年，全球機器學習課程市場規模將達到 363 億美元

2024 年全球機器學習課程市場規模估計為 148 億美元，預計 2024 年至 2030 年期間的複合年成長率為 16.1%，到 2030 年將達到 363 億美元。非學術最終用途是報告中分析的部分之一，預計到分析期結束時複合年成長率為 16.6%，達到 247 億美元。在分析期間內，學術終端用途部分的複合年成長率預計為 15.2%。

美國市場規模估計為 39 億美元，中國市場預估年複合成長率為 15.1%

預計 2024 年美國機器學習課程市場價值將達到 39 億美元。中國是世界第二大經濟體，預計到 2030 年市場規模將達到 55 億美元，2024-2030 年分析期間的複合年成長率為 15.1%。其他值得注意的區域市場包括日本和加拿大，預計在分析期間的複合年成長率分別為 14.9% 和 13.8%。在歐洲，德國的複合年成長率預計為 11.8%。

全球機器學習課程市場-主要趨勢與促進因素摘要

什麼是機器學習課程？

機器學習 (ML) 課程為學生提供開發演算法和模型的技能和知識，使電腦能夠從資料中學習並做出智慧預測。在當今資料主導的世界中，機器學習已成為資料科學、人工智慧（AI）和巨量資料分析等領域的基本組成部分。隨著越來越多的企業轉向人工智慧和自動化來增強業務，對具有機器學習技能的專業人員的需求正在激增。無論是對於希望進入科技領域的新員工，還是對於希望保持競爭力的經驗豐富的專業人士來說，機器學習課程都變得至關重要。這些課程涵蓋了機器學習的基本概念，從監督學習和無監督學習到神經網路、自然語言處理 (NLP) 和深度學習。大學、線上平台和專業機構提供的機器學習課程的可近性越來越高，這反映了人們對解決行業相關技能的結構化學習途徑的需求日益成長。

機器學習課程的靈活性使其可以被更廣泛的人群所接受，包括在職成年人也可以從線上和自定進度的學習選項中受益。機器學習教育的民主化使得來自不同背景的人們能夠獲得這個備受追捧的領域的專業知識。許多課程的設計都考慮到了實際應用，強調透過計劃、案例研究和真實資料集進行實踐學習。這種實踐重點有助於學生建立作品集，向潛在雇主展示他們的技能，並滿足對就業準備候選人日益成長的需求。此外，隨著企業越來越重視數位轉型，機器學習技能在金融、醫療保健、零售和製造等行業變得越來越有價值，使其成為拓展職業可能性的寶貴工具。學習課程。

科技進步如何影響機器學習課程？

科技的進步改變了機器學習課程的設計、交付和消費方式。 Coursera、edX 和 Udacity 等線上教育平台正在與領先的大學和科技公司合作，提供高品質的 ML 課程，讓世界各地的學習者能夠存取曾經僅限於精英教育機構的內容。這些平台正在利用人工智慧來個人化學習體驗，根據個人的進展調整建議的課程和資源。此外，虛擬和擴增實境的進步也被引入到機器學習教育中，提供幫助學生視覺化複雜演算法和模型架構的互動式體驗。例如，學生可以與神經網路的 3D 視覺化進行交互，以更深入地了解其內部工作原理。

此外，人工智慧在課程設計和評估中的使用將實現更有效率、更準確的評估方法，例如編碼作業的自動評分、計劃的即時回饋和自我調整測驗。機器學習課程融合了反映行業實踐的工具和平台，包括使用 TensorFlow、PyTorch 和 scikit-learn 等流行 ML 框架的實踐練習。透過將這些工具納入課程，課程提供者確保學生獲得實用的、與產業相關的技能。此外，雲端處理的進步正在擴大機器學習課程的可及性，使學生能夠遠端使用高效能運算資源，從而加快深度學習等需要強大處理能力的高級主題的學習速度。這些技術改進使得機器學習課程更具吸引力、更具相關性，也更符合現代就業市場的需求。

不斷變化的就業市場需求將如何影響機器學習課程的學習？

各行業對機器學習的快速應用增加了對機器學習技能的需求，並導致機器學習課程的報名人數增加。隨著自動化、資料分析和人工智慧重塑傳統工作角色，越來越多的人尋求機器學習專業知識以保持競爭力。雇主們擴大尋求機器學習知識，不僅是針對資料科學和技術特定的職位，而且還包括行銷、財務和營運等領域，這些領域中資料主導的決策正成為常態。由於技能需求的變化，在職專業人士正在透過線上平台和技術機構提供的機器學習課程來提升自己的技能。此外，COVID-19 疫情加速了各行各業的數位轉型，隨著企業在不確定的時期轉向機器學習技術來提高效率和適應性，人們對機器學習技能的興趣進一步增加。

參加機器學習課程的學生的教育背景已擴大到不僅包括電腦科學和工程專業的畢業生，還包括商業、社會科學和醫療保健專業人士。隨著跨職能角色的興起，例如資料驅動的產品經理和具有機器學習專業知識的財務分析師，機器學習課程吸引了更多尋求跨學科技能的不同學習者。此外，Google、微軟和 IBM 等提供者提供的行業認證也在推動課程註冊，因為它們證明了機器學習能力並提高了就業能力。此外，公司擴大支持員工參加機器學習課程，許多公司要么支付培訓費用，要么贊助課程。這種支持反映出人們越來越認知到機器學習為組織創新和效率帶來的策略價值。

哪些因素推動了機器學習課程市場的成長？

機器學習課程市場的成長受到多種因素的推動，例如人工智慧跨行業的融合、對資料主導決策的需求不斷成長以及靈活的線上學習平台的普及。隨著人工智慧和機器學習在醫療保健、金融和零售等領域變得至關重要，對能夠有效開發和部署機器學習模型的專家的需求也日益成長。希望實施數位轉型策略的組織正在投資提高員工的技能，從而增加機器學習課程的報名人數。提供價格合理、自定進度課程的線上平台降低了進入門檻，使專業人士更容易獲得優質的機器學習教育。這種可訪問性對於傳統技術中心之外的人來說尤其有價值，它可以讓更多的人進入機器學習領域。

對行業認可認證的需求也推動了機器學習課程市場的成長。來自可信任機構的認證得到雇主的認可，並證明掌握了機器學習技能，為學習者在就業市場上帶來競爭優勢。此外，透過教育機構和領先的科技公司之間的夥伴關係來發展機器學習專業化，正在擴大這些項目的覆蓋範圍和吸引力。隨著越來越多的大學將機器學習納入其核心課程並與線上平台合作，追求機器學習專業知識的學習者數量持續成長。最後，機器學習在預測分析、客戶個人化和自動化等領域的多學科應用的興起將進一步推動對教授技術和商業導向的機器學習技能的課程的需求，從而推動機器學習課程市場的成長。了持續成長。

部分

最終用途（非學術最終用途、學術最終用途）

受訪公司範例（42家值得關注的公司）

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

目錄

第1章調查方法

第 2 章執行摘要

  • 市場概況
  • 主要企業
  • 市場趨勢和促進因素
  • 全球市場展望

第3章 市場分析

  • 美國
  • 加拿大
  • 日本
  • 中國
  • 歐洲
  • 法國
  • 德國
  • 義大利
  • 英國
  • 其他歐洲國家
  • 亞太地區
  • 其他地區

第4章 競賽

簡介目錄
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