Automated Machine Learning
Publication Date
February 2024
USD 1.63 billion
USD 13.88 billion
USD 2.21 billion
Automated Machine Learning Market by Automation Type (Data Processing, Feature Engineering, Modeling), Deployment (Cloud, On-premises), Application - Global Forecast 2024-2030

[198 Pages Report] The Automated Machine Learning Market size was estimated at USD 1.63 billion in 2023 and expected to reach USD 2.21 billion in 2024, at a CAGR 35.70% to reach USD 13.88 billion by 2030.

Automated Machine Learning Market
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Automated Machine Learning Market - Global Forecast 2024-2030
To learn more about this report, request a free sample copy
FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Automated Machine Learning Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Automated Machine Learning Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Automated Machine Learning Market, highlighting leading vendors and their innovative profiles. These include Aible, Inc., Akkio Inc., Altair Engineering Inc., Alteryx, Amazon Web Services, Inc., Automated Machine Learning Ltd., BigML, Inc., Databricks, Inc., Dataiku, DataRobot, Inc., Google LLC by Alphabet Inc.,, Inc., Hewlett Packard Enterprise Company, InData Labs Group Limited, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, QlikTech International AB, Runai Labs Ltd., Salesforce, Inc., SAS Institute Inc., ServiceNow, Inc., SparkCognition, Inc., STMicroelectronics, Tata Consultancy Services Limited, TAZI AI, Tellius, Inc., Weidmuller Limited, Wolfram, and

Market Segmentation & Coverage

This research report categorizes the Automated Machine Learning Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Automation Type
    • Data Processing
    • Feature Engineering
    • Modeling
    • Visualization
  • Deployment
    • Cloud
    • On-premises
  • Application
    • Automotive, Transportations, and Logistics
    • Banking, Financial Services, and Insurance
    • Government & Defense
    • Healthcare & Life Sciences
    • It & Telecommunications
    • Media & Entertainment

  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects:

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

  1. What is the market size and forecast of the Automated Machine Learning Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Automated Machine Learning Market?
  3. What are the technology trends and regulatory frameworks in the Automated Machine Learning Market?
  4. What is the market share of the leading vendors in the Automated Machine Learning Market?
  5. Which modes and strategic moves are suitable for entering the Automated Machine Learning Market?

Table of Contents
  1. Preface
  2. Research Methodology
  3. Executive Summary
  4. Market Overview
  5. Market Insights
  6. Automated Machine Learning Market, by Automation Type
  7. Automated Machine Learning Market, by Deployment
  8. Automated Machine Learning Market, by Application
  9. Americas Automated Machine Learning Market
  10. Asia-Pacific Automated Machine Learning Market
  11. Europe, Middle East & Africa Automated Machine Learning Market
  12. Competitive Landscape
  13. Competitive Portfolio
Companies Mentioned
  • Aible, Inc.
  • Akkio Inc.
  • Altair Engineering Inc.
  • Alteryx
  • Amazon Web Services, Inc.
  • Automated Machine Learning Ltd.
  • BigML, Inc.
  • Databricks, Inc.
  • Dataiku
  • DataRobot, Inc.
  • Google LLC by Alphabet Inc.
  •, Inc.
  • Hewlett Packard Enterprise Company
  • InData Labs Group Limited
  • Intel Corporation
  • International Business Machines Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • QlikTech International AB
  • Runai Labs Ltd.
  • Salesforce, Inc.
  • SAS Institute Inc.
  • ServiceNow, Inc.
  • SparkCognition, Inc.
  • STMicroelectronics
  • Tata Consultancy Services Limited
  • Tellius, Inc.
  • Weidmuller Limited
  • Wolfram
This FREE sample includes market data points, ranging from trend analysis to market estimates & forecasts. See for yourself.
Frequently Asked Questions about the Automated Machine Learning Market
The Global Automated Machine Learning Market size was estimated at USD 1.63 billion in 2023 and expected to reach USD 2.21 billion in 2024.
The Global Automated Machine Learning Market to grow USD 13.88 billion by 2030, at a CAGR of 35.70%
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