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Machine Learning - Thematic Intelligence

Publisher GlobalData
Published Dec 07, 2022
Length 84 Pages
SKU # GBDT17577164

Description

Machine Learning - Thematic Intelligence

Summary

Machine learning is a subset of artificial intelligence (AI) that allows computer systems to learn and improve from data without being explicitly programmed. Machine learning is the most practical application of AI currently available for enterprise adoption.

Key Highlights
  • GlobalData forecasts the global AI market will be worth $136 billion in 2026. Specialist AI applications will account for the largest proportion of 2026 revenue at 37%, followed by AI consulting and support services at 30%. AI platforms will record the fastest revenue growth between 2021 and 2026 (a CAGR of 18%).
  • Instead of companies employing programmers to design machine learning tools from scratch, nocode/low-code and machine learning as a service (MLaaS) platforms allow those without extensive programming ability to design systems tailored to their needs. This has also led to the popularity of machine learning operations (MLOps) to ensure systems are implemented and monitored to a high standard.
  • AI is increasingly involved in life-changing decisions like welfare payments, mortgage approvals, and medical diagnoses. Consequently, transparency and explainability have become essential. Some key AI frameworks driving transparency in the sector include IBM’s open-source AI 360 tool kit and Rulex’s Logic Leaning Machine (LLM).
  • The main areas driving AI M&A deals are NLP, automated driving, MLaaS, and enterprise predictive analytics.
  • US-based machine learning companies have raised a total of $57,960 million through 3,038 venture financing deals in the last 10 years.
Scope
  • This report provides an overview of the machine learning theme.
  • It identifies the key trends impacting growth of the theme over the next 12 to 24 months.
  • It includes a comprehensive industry analysis, including market size and growth forecasts for AI hardware, AI platforms, AI consulting and support services, and specialized AI applications.
  • The detailed value chain breaks down machine learning into three areas: hardware, software (big data management and machine learning techniques), and services (platforms, MLaaS, and libraries).
Reasons to Buy
  • Machine learning will benefit all enterprises in some capacity, with potential advantages including automation, trend and pattern recognition, process improvement, and forecasting. This report will help readers make sense of the machine learning theme, understand training techniques and leading algorithms, the business benefits, identify the leading vendors and startups, and understand MLaaS, MLOps, and machine learning libraries.

Table of Contents

84 Pages
    • Figure 1: GlobalData estimates that the global AI market
    • Hardware
    • Services
    • What is machine learning?
    • Machine learning training techniques
    • What are deep learning and neural networks?
    • How are machine learning models trained, tested, and deployed?
    • Cloud, AI chips, and edge computing
    • How does machine learning affect industries?
    • Figure 9: Machine learning trends
    • Technology trends
    • Macroeconomic trends
    • Regulatory trends
    • Market size and growth forecasts
    • Mergers and acquisitions
    • Venture financing
    • Patent trends
    • Company filing trends
    • Hiring trends
    • Use cases
    • Timeline
    • Figure 27: The machine learning value chain
    • Hardware
    • Software
    • Services
    • Public companies
    • Private companies
    • Application software sector scorecard
    • Cloud services sector scorecard
    • Glossary
    • GlobalData reports
    • Figure 51: Our five-step approach for generating a sector scorecard
  • About GlobalData
  • Contact Us

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