Global Machine Learning Market Growth (Status and Outlook) 2023-2029

Global Machine Learning Market Growth (Status and Outlook) 2023-2029

Product Code:464287

Published Date: Feb 08,2023

Pages: 110

Region: Global

Category: Service & Software

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Machine learning (ML) is the study of algorithms and mathematical models that computer systems use to progressively improve their performance on a specific task.Machine learning (ML) is a discipline of artificial intelligence (AI) that provides machines with the ability to automatically learn from data and past experiences while identifying patterns to make predictions with minimal human intervention.Machine learning (ML) methods enable computers to operate autonomously without explicit programming. ML applications are fed with new data, and they can independently learn, grow, develop, and adapt.

LPI (LP Information)' newest research report, the “Machine Learning Industry Forecast” looks at past sales and reviews total world Machine Learning sales in 2022, providing a comprehensive analysis by region and market sector of projected Machine Learning sales for 2023 through 2029. With Machine Learning sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Machine Learning industry.

This Insight Report provides a comprehensive analysis of the global Machine Learning landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Machine Learning portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Machine Learning market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Machine Learning and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Machine Learning.

The global Machine Learning market size is projected to grow from US$ 15120 million in 2022 to US$ 148920 million in 2029; it is expected to grow at a CAGR of 38.6% from 2023 to 2029.

Global top five manufacturers of Machine Learning occupied for a share over 30 percent, key players are IBM, Dell, HPE, Oracle and Google, etc. North America is the largest market of Machine Learning, has a share nearly 40%, followed by Europe.

This report presents a comprehensive overview, market shares, and growth opportunities of Machine Learning market by product type, application, key players and key regions and countries.

Market Segmentation:
Segmentation by type
    Supervised Learning
    Semi-supervised Learning
    Unsupervised Learning
    Reinforcement Learning

Segmentation by application
    Marketing and Advertising
    Fraud Detection and Risk Management
    Computer Vision
    Security and Surveillance
    Predictive Analytics
    Augmented and Virtual Reality
    Others

This report also splits the market by region:
    Americas
        United States
        Canada
        Mexico
        Brazil
    APAC
        China
        Japan
        Korea
        Southeast Asia
        India
        Australia
    Europe
        Germany
        France
        UK
        Italy
        Russia
    Middle East & Africa
        Egypt
        South Africa
        Israel
        Turkey
        GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
    IBM
    Dell
    HPE
    Oracle
    Google
    SAP
    SAS Institute
    Fair Isaac Corporation (FICO)
    Baidu
    Intel
    Amazon Web Services
    Microsoft
    Yottamine Analytics
    H2O.ai
    Databricks
    BigML
    Dataiku
    Veritone