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自動機械学習の世界市場：ソリューション別・自動化の種類別・エンドユーザー別・国別・地域別 - 産業分析、市場規模・シェア、将来予測 (2025年～2032年)

Automated Machine Learning Market, By Solution, By Automation Type, By End User, By Country, and By Region -Global Industry Analysis, Market Size, Market Share & Forecast from 2025-2032

出版日
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英文 298 Pages
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2～3営業日
カスタマイズ可能
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自動機械学習の世界市場：ソリューション別・自動化の種類別・エンドユーザー別・国別・地域別 - 産業分析、市場規模・シェア、将来予測 (2025年～2032年)
出版日: 2025年03月04日
発行: AnalystView Market Insights
ページ情報: 英文 298 Pages
納期: 2～3営業日
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概要

レポートハイライト

自動機械学習の市場規模は2024年に17億3,054万米ドルとなり、2025年から2032年にかけてCAGR 45.90%で拡大

自動機械学習の市場力学

自動分析ツールを必要とするビッグデータの急増

ビッグデータの急増は、自動機械学習（AutoML）市場の主要な促進要因です。データ量が指数関数的に増加する中、様々な分野の企業が手作業でデータを処理し、効果的に分析することに苦慮しています。AutoMLは、データ準備、モデル選択、ハイパーパラメータのチューニングを自動化することでソリューションを提供し、機械学習をより身近で効率的なものにします。IoTデバイス、ソーシャルメディア、企業システムなどのソースから得られるビッグデータにより、実用的な洞察を抽出するための自動化ツールの必要性が重要になっています。この需要は、医療、金融、小売など、データ主導の意思決定が極めて重要な業界で特に顕著です。

全米教育統計センター（NCES）によると、世界全体で毎日2.5億バイト以上のデータが作成されており、自動化の必要性が高まっていることを強調しています。組織がこのデータを活用して成果を向上させようとする中、AutoMLソリューションはこうしたニーズに応え、洞察までの時間を短縮し、人的ミスを最小限に抑えることができます。AI主導のツールによって強化されたビジネスは、市場の変化に迅速に対応することができます。この動向は教育機関も後押ししており、AIやデータサイエンスのプログラムでは自動データ分析技術の重要性が強調されています。

自動機械学習市場：主な考察

当社のリサーチアナリストが共有した分析によると、世界市場は予測期間（2025-2032年）に約45.90%のCAGRで毎年成長すると予測されています。

ソリューション別に見ると、クラウドが2024年に最大の市場シェアを示すと予測されました。

自動化の種類別では、モデリングが2024年の主要な自動化の種類です。

エンドユーザー別では、BFSIが2024年の主要エンドユーザーです。

地域別では、北米が2024年の主要収益源でした。

自動機械学習市場：セグメンテーション分析

世界の自動機械学習市場は、ソリューション、自動化の種類、エンドユーザー、地域に基づいてセグメント化されます。

市場はソリューションに基づいて2つのカテゴリーに分けられます：スタンドアロン/オンプレミスとクラウドです。自動機械学習（AutoML）市場では、クラウドベースのソリューションセグメントが最も顕著です。クラウドプラットフォームは拡張性、柔軟性、費用対効果を提供するため、多額のインフラ投資をせずに機械学習を活用しようとする組織にとって魅力的な選択肢となります。クラウドソリューションはまた、容易なコラボレーション、リアルタイムのモデル展開、市場投入までの時間の短縮を可能にします。クラウドコンピューティングの採用が進み、業界全体でAI主導型ソリューションへの需要が高まっていることが、クラウドベースのAutoMLプラットフォームの優位性を高めています。これらのプラットフォームは多くの場合、包括的ですぐに使えるツールを提供するため、専門家でなくてもMLモデルを効率的に構築・展開する障壁が低くなっています。

市場は、自動化の種類に基づいて4つのカテゴリーに分類されます：データ処理、機能エンジニアリング、モデリング、可視化です。自動機械学習（AutoML）市場における自動化タイプの中では、モデリング・セグメントが最も重要です。これは、自動化されたモデリングが、機械学習モデルの構築、選択、調整のプロセスを合理化するためです。モデルの選択とハイパーパラメータの最適化を自動化することで、AutoMLプラットフォームは、専門家でも非専門家でも、深い技術的専門知識がなくても、精度の高いモデルの開発を容易にします。さまざまなアルゴリズムや構成を迅速に試すことができることが、この分野の隆盛の主な要因です。

自動機械学習市場：地域別分析

北米の自動機械学習（AutoML）市場は、様々な産業で人工知能と機械学習技術の採用が増加しているため、急速に拡大しています。グーグル、マイクロソフト、IBMといった技術エコシステムの主要プレーヤーが存在するため、この地域はAI主導のイノベーションへの多額の投資から利益を得ています。AutoMLソリューションの需要は、複雑な機械学習プロセスを自動化し、導入に必要な専門知識を削減できる、アクセスしやすく費用対効果の高いツールのニーズによって牽引されています。

医療、金融、小売などの業界では、予測分析、不正検出、顧客洞察のためにAutoMLを模索しています。この地域の強固なインフラストラクチャーは、AI主導の自動化への関心の高まりと相まって、世界のAutoML市場における主要プレーヤーとして位置づけられています。さらに、クラウドベースのプラットフォームが利用可能になりつつあることも、こうした技術の採用を加速させています。データプライバシーに関する懸念や規制状況も、この地域のAutoML状況を形成する上で重要な役割を果たしており、より安全で透明性の高いソリューションが求められています。

米国は北米の自動機械学習（AutoML）市場において支配的な国であり、技術革新とAI研究におけるリーダーシップがその原動力となっています。グーグル、マイクロソフト、アマゾンのような主要ハイテク企業の本拠地である米国は、AutoMLソリューションの開発と展開をリードしています。AI新興企業、研究機関、クラウドインフラへの強力な投資は、世界のAutoMLランドスケープにおける米国の地位をさらに加速させています。さらに米国は、倫理的な懸念に対処しながらAIの開発を支援する、確立された規制枠組みの恩恵を受けています。

自動機械学習市場：競合情勢

自動機械学習（AutoML）市場の競合情勢は、大手ハイテク企業、専門性の高い新興企業、新興企業が混在していることが特徴です。Google Cloud、AWS、Microsoft Azureのような大手クラウドプロバイダーは、自社のクラウドエコシステムと統合された堅牢なAutoMLプラットフォームを提供することで、スケーラブルなAIソリューションを求める企業にアピールし、この分野を支配しています。DataRobotやH2O.aiのような企業は、企業向けにカスタマイズされた高度なAutoMLプラットフォームに注力しており、自動化されたモデル構築、展開、最適化を提供しています。DataikuやRapidMinerのような新興企業は、業界全体のデータサイエンスを民主化する柔軟なソリューションを提供しています。Auto-sklearnやTPOTのようなオープンソースツールは、開発者や研究者に対応し、イノベーションを促進しています。この競争の激しい市場は、継続的な技術の進歩、AI主導の考察に対するニーズの高まり、金融、医療、小売などの分野からの需要の増加によって牽引されています。

目次

第1章 自動機械学習市場の概要

  • 調査範囲
  • 市場推定期間

第2章 エグゼクティブサマリー

  • 市場内訳
  • 競合考察

第3章 自動機械学習の主な市場動向

  • 市場促進要因
  • 市場抑制要因
  • 市場機会
  • 市場の将来動向

第4章 自動機械学習市場：産業分析

  • PEST分析
  • ポーターのファイブフォース分析
  • 市場成長の見通し：マッピング
  • 規制体制の分析

第5章 自動機械学習市場：高まる地政学的緊張の影響

  • COVID-19パンデミックの影響
  • ロシア・ウクライナ戦争の影響
  • 中東紛争の影響

第6章 自動機械学習の市場情勢

  • 自動機械学習の市場シェア分析 (2024年)
  • 主要メーカー別の内訳データ
    • 既存企業の分析
    • 新興企業の分析

第7章 自動機械学習市場：ソリューション別

  • 概要
    • セグメント別シェア分析：ソリューション別
    • スタンドアロン/オンプレミス
    • クラウド

第8章 自動機械学習市場：自動化の種類別

  • 概要
    • セグメント別シェア分析：自動化の種類別
    • データ処理
    • 機能エンジニアリング
    • モデリング
    • 視覚化

第9章 自動機械学習市場：エンドユーザー別

  • 概要
    • セグメント別シェア分析：エンドユーザー別
    • BFSI
    • 小売業・eコマース
    • 医療
    • 製造業
    • その他

第10章 自動機械学習市場：地域別

  • イントロダクション
  • 北米
    • 概要
    • 北米の主要メーカー
    • 米国
    • カナダ
  • 欧州
    • 概要
    • 欧州の主要メーカー
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • オランダ
    • スウェーデン
    • ロシア
    • ポーランド
    • その他
  • アジア太平洋（APAC）
    • 概要
    • アジア太平洋地域の主要メーカー
    • 中国
    • インド
    • 日本
    • 韓国
    • オーストラリア
    • インドネシア
    • タイ
    • フィリピン
    • その他
  • ラテンアメリカ（LATAM）
    • 概要
    • ラテンアメリカの主要メーカー
    • ブラジル
    • メキシコ
    • アルゼンチン
    • コロンビア
    • その他
  • 中東およびアフリカ（MEA）
    • 概要
    • 中東・アフリカの主要メーカー
    • サウジアラビア
    • アラブ首長国連邦
    • イスラエル
    • トルコ
    • アルジェリア
    • エジプト
    • その他

第11章 主要ベンダー分析：自動機械学習業界

  • 競合ダッシュボード
    • 競合ベンチマーク
    • 競合ポジショニング
  • 企業プロファイル
    • Google Cloud
    • Microsoft Azure
    • IBM Watson
    • Amazon Web Services（AWS）
    • DataRobot
    • H2O.ai
    • SAS
    • RapidMiner
    • BigML
    • Dataiku
    • KNIME
    • Auto-sklearn
    • TPOT
    • Alteryx
    • Qualcomm AI
    • Zest AI
    • MLflow
    • Domino Data Lab

第12章 AnalystViewの全方位的分析

目次
Product Code: ANV4893

REPORT HIGHLIGHT

Automated Machine Learning Market size was valued at US$ 1,730.54 Million in 2024, expanding at a CAGR of 45.90% from 2025 to 2032.

Automated Machine Learning (AutoML) refers to the process of automating the end-to-end process of applying machine learning to real-world problems. It aims to make machine learning accessible to non-experts by automating tasks like data preprocessing, model selection, hyperparameter tuning, and model evaluation. By reducing the need for deep technical knowledge, AutoML helps businesses quickly deploy machine learning models and focus on solving domain-specific problems. This market includes a variety of tools and platforms that simplify and accelerate machine learning workflows. The growth of the AutoML market is driven by factors like the increasing demand for AI solutions, the shortage of data science talent, and the need for faster insights from data. Key players in this space include cloud service providers, software companies, and startups, contributing to a rapidly expanding market. AutoML helps democratize AI, enabling industries like healthcare, finance, and retail to leverage machine learning without specialized expertise.

Automated Machine Learning Market- Market Dynamics

Proliferation of big data requiring automated analysis tools

The proliferation of big data is a key driver for the Automated Machine Learning (AutoML) market. As data volumes increase exponentially, businesses across various sectors struggle to manually process and analyze it effectively. AutoML offers a solution by automating data preparation, model selection, and hyperparameter tuning, making machine learning more accessible and efficient. With big data coming from sources like IoT devices, social media, and enterprise systems, the need for automated tools to extract actionable insights becomes critical. This demand is especially evident in industries like healthcare, finance, and retail, where data-driven decisions are pivotal.

According to the National Center for Education Statistics (NCES), over 2.5 quintillion bytes of data are created each day globally, emphasizing the growing need for automation. As organizations look to harness this data for improved outcomes, AutoML solutions are positioned to meet these needs, reducing time-to-insight and minimizing human error. Enhanced by AI-driven tools, businesses can quickly adapt to market changes. This trend is also supported by educational institutions, where AI and data science programs emphasize the importance of automated data analysis techniques.

Automated Machine Learning Market- Key Insights

As per the analysis shared by our research analyst, the global market is estimated to grow annually at a CAGR of around 45.90% over the forecast period (2025-2032)

Based on Solution segmentation, Cloud was predicted to show maximum market share in the year 2024

Based on Automation Type segmentation, Modeling was the leading Automation Type in 2024

Based on End User segmentation, BFSI was the leading End User in 2024

On the basis of region, North America was the leading revenue generator in 2024

Automated Machine Learning Market- Segmentation Analysis:

The Global Automated Machine Learning Market is segmented on the basis of Solution, Automation Type, End User, and Region.

The market is divided into two categories based on Solution: Standalone or On-Premise and Cloud. In the Automated Machine Learning (AutoML) market, the cloud-based solution segment is the most prominent. Cloud platforms offer scalability, flexibility, and cost-effectiveness, making them an attractive option for organizations seeking to leverage machine learning without heavy infrastructure investment. Cloud solutions also enable easy collaboration, real-time model deployment, and faster time-to-market. The increasing adoption of cloud computing and the growing demand for AI-driven solutions across industries are driving the dominance of cloud-based AutoML platforms. These platforms often provide comprehensive, ready-to-use tools, reducing the barrier for non-experts to build and deploy ML models efficiently.

The market is divided into four categories based on Automation Type: Data Processing, Feature Engineering, Modeling, and Visualization. Among the automation types in the Automated Machine Learning (AutoML) market, the modeling segment is the most significant. This is because automated modeling streamlines the process of building, selecting, and tuning machine learning models, which is often the most complex and time-consuming aspect of the ML workflow. By automating model selection and hyperparameter optimization, AutoML platforms make it easier for both experts and non-experts to develop highly accurate models without deep technical expertise. The ability to rapidly experiment with different algorithms and configurations is a key driver of the prominence of this segment.

Automated Machine Learning Market- Geographical Insights

The North American market for Automated Machine Learning (AutoML) is rapidly expanding due to increased adoption of artificial intelligence and machine learning technologies across various industries. With the presence of key players in the tech ecosystem, such as Google, Microsoft, and IBM, the region benefits from significant investment in AI-driven innovations. The demand for AutoML solutions is being driven by a need for accessible, cost-effective tools that can automate complex machine learning processes, reducing the expertise required for deployment.

Industries like healthcare, finance, and retail are exploring AutoML for predictive analytics, fraud detection, and customer insights. The region's robust infrastructure, coupled with growing interest in AI-driven automation, positions it as a key player in the global AutoML market. Furthermore, the increasing availability of cloud-based platforms is accelerating the adoption of these technologies. Data privacy concerns and regulatory frameworks also play a critical role in shaping the region's AutoML landscape, pushing for more secure, transparent solutions.

The United States is the dominant country in North America's Automated Machine Learning (AutoML) market, driven by its leadership in technology innovation and AI research. Home to major tech companies like Google, Microsoft, and Amazon, the U.S. leads in the development and deployment of AutoML solutions. The country's strong investment in AI startups, research institutions, and cloud infrastructure further accelerates its position in the global AutoML landscape. Additionally, the U.S. benefits from a well-established regulatory framework that supports AI development while addressing ethical concerns.

Automated Machine Learning Market- Competitive Landscape:

The competitive landscape of the Automated Machine Learning (AutoML) market is characterized by a mix of established tech giants, specialized startups, and emerging players. Major cloud providers like Google Cloud, AWS, and Microsoft Azure dominate the space by offering robust AutoML platforms integrated with their cloud ecosystems, appealing to enterprises seeking scalable AI solutions. Companies like DataRobot and H2O.ai focus on advanced AutoML platforms tailored for enterprises, providing automated model building, deployment, and optimization. Startups such as Dataiku and RapidMiner offer flexible solutions to democratize data science across industries. Open-source tools like Auto-sklearn and TPOT cater to developers and researchers, fostering innovation. This highly competitive market is driven by continuous technological advancements, a growing need for AI-driven insights, and increasing demand from sectors such as finance, healthcare, and retail.

Recent Developments:

In March 2024, Google Cloud and NVIDIA extended their partnership to offer technology that would accelerate the machine learning (ML) community's efforts in rapidly building, scaling, and managing generative AI applications. Google adopted the latest NVIDIA Grace Blackwell AI computing platform and the NVIDIA DGX Cloud service on Google Cloud to continue delivering AI advancements to its products and developers.

SCOPE OF THE REPORT

The scope of this report covers the market by its major segments, which include as follows:

GLOBAL AUTOMATED MACHINE LEARNING MARKET KEY PLAYERS- DETAILED COMPETITIVE INSIGHTS

  • Google Cloud
  • Microsoft Azure
  • IBM Watson
  • Amazon Web Services (AWS)
  • DataRobot
  • H2O.ai
  • SAS
  • RapidMiner
  • BigML
  • Dataiku
  • KNIME
  • Auto-sklearn
  • TPOT
  • Alteryx
  • Qualcomm AI
  • Zest AI
  • MLflow
  • Domino Data Lab

GLOBALAUTOMATED MACHINE LEARNING MARKET, BY SOLUTION- MARKET ANALYSIS, 2019 - 2032

  • Standalone or On-Premise
  • Cloud

GLOBAL AUTOMATED MACHINE LEARNING MARKET, BY AUTOMATION TYPE- MARKET ANALYSIS, 2019 - 2032

  • Data Processing
  • Feature Engineering
  • Modeling
  • Visualization

GLOBAL AUTOMATED MACHINE LEARNING MARKET, BY END USER- MARKET ANALYSIS, 2019 - 2032

  • BFSI
  • Retail and E-Commerce
  • Healthcare
  • Manufacturing
  • Others

GLOBAL AUTOMATED MACHINE LEARNING MARKET, BY REGION- MARKET ANALYSIS, 2019 - 2032

  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • The Netherlands
  • Sweden
  • Russia
  • Poland
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Indonesia
  • Thailand
  • Philippines
  • Rest of APAC
  • Latin America
  • Brazil
  • Mexico
  • Argentina
  • Colombia
  • Rest of LATAM
  • The Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Turkey
  • Algeria
  • Egypt
  • Rest of MEA

Table of Contents

1. Automated Machine Learning Market Overview

  • 1.1. Study Scope
  • 1.2. Market Estimation Years

2. Executive Summary

  • 2.1. Market Snippet
    • 2.1.1. Automated Machine Learning Market Snippet by Solution
    • 2.1.2. Automated Machine Learning Market Snippet by Automation Type
    • 2.1.3. Automated Machine Learning Market Snippet by End User
    • 2.1.4. Automated Machine Learning Market Snippet by Country
    • 2.1.5. Automated Machine Learning Market Snippet by Region
  • 2.2. Competitive Insights

3. Automated Machine Learning Key Market Trends

  • 3.1. Automated Machine Learning Market Drivers
    • 3.1.1. Impact Analysis of Market Drivers
  • 3.2. Automated Machine Learning Market Restraints
    • 3.2.1. Impact Analysis of Market Restraints
  • 3.3. Automated Machine Learning Market Opportunities
  • 3.4. Automated Machine Learning Market Future Trends

4. Automated Machine Learning Industry Study

  • 4.1. PEST Analysis
  • 4.2. Porter's Five Forces Analysis
  • 4.3. Growth Prospect Mapping
  • 4.4. Regulatory Framework Analysis

5. Automated Machine Learning Market: Impact of Escalating Geopolitical Tensions

  • 5.1. Impact of COVID-19 Pandemic
  • 5.2. Impact of Russia-Ukraine War
  • 5.3. Impact of Middle East Conflicts

6. Automated Machine Learning Market Landscape

  • 6.1. Automated Machine Learning Market Share Analysis, 2024
  • 6.2. Breakdown Data, by Key Manufacturer
    • 6.2.1. Established Players' Analysis
    • 6.2.2. Emerging Players' Analysis

7. Automated Machine Learning Market - By Solution

  • 7.1. Overview
    • 7.1.1. Segment Share Analysis, By Solution, 2024 & 2032 (%)
    • 7.1.2. Standalone or On-Premise
    • 7.1.3. Cloud

8. Automated Machine Learning Market - By Automation Type

  • 8.1. Overview
    • 8.1.1. Segment Share Analysis, By Automation Type, 2024 & 2032 (%)
    • 8.1.2. Data Processing
    • 8.1.3. Feature Engineering
    • 8.1.4. Modeling
    • 8.1.5. Visualization

9. Automated Machine Learning Market - By End User

  • 9.1. Overview
    • 9.1.1. Segment Share Analysis, By End User, 2024 & 2032 (%)
    • 9.1.2. BFSI
    • 9.1.3. Retail and E-Commerce
    • 9.1.4. Healthcare
    • 9.1.5. Manufacturing
    • 9.1.6. Others

10. Automated Machine Learning Market- By Geography

  • 10.1. Introduction
    • 10.1.1. Segment Share Analysis, By Geography, 2024 & 2032 (%)
  • 10.2. North America
    • 10.2.1. Overview
    • 10.2.2. Automated Machine Learning Key Manufacturers in North America
    • 10.2.3. North America Market Size and Forecast, By Country, 2019 - 2032 (US$ Million)
    • 10.2.4. North America Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
    • 10.2.5. North America Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
    • 10.2.6. North America Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.2.7. U.S.
      • 10.2.7.1. Overview
      • 10.2.7.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.2.7.3. U.S. Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.2.7.4. U.S. Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.2.7.5. U.S. Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.2.8. Canada
      • 10.2.8.1. Overview
      • 10.2.8.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.2.8.3. Canada Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.2.8.4. Canada Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.2.8.5. Canada Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
  • 10.3. Europe
    • 10.3.1. Overview
    • 10.3.2. Automated Machine Learning Key Manufacturers in Europe
    • 10.3.3. Europe Market Size and Forecast, By Country, 2019 - 2032 (US$ Million)
    • 10.3.4. Europe Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
    • 10.3.5. Europe Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
    • 10.3.6. Europe Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.3.7. Germany
      • 10.3.7.1. Overview
      • 10.3.7.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.3.7.3. Germany Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.3.7.4. Germany Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.3.7.5. Germany Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.3.8. UK
      • 10.3.8.1. Overview
      • 10.3.8.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.3.8.3. UK Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.3.8.4. UK Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.3.8.5. UK Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.3.9. France
      • 10.3.9.1. Overview
      • 10.3.9.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.3.9.3. France Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.3.9.4. France Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.3.9.5. France Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.3.10. Italy
      • 10.3.10.1. Overview
      • 10.3.10.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.3.10.3. Italy Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.3.10.4. Italy Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.3.10.5. Italy Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.3.11. Spain
      • 10.3.11.1. Overview
      • 10.3.11.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.3.11.3. Spain Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.3.11.4. Spain Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.3.11.5. Spain Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.3.12. The Netherlands
      • 10.3.12.1. Overview
      • 10.3.12.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.3.12.3. The Netherlands Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.3.12.4. The Netherlands Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.3.12.5. The Netherlands Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.3.13. Sweden
      • 10.3.13.1. Overview
      • 10.3.13.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.3.13.3. Sweden Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.3.13.4. Sweden Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.3.13.5. Sweden Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.3.14. Russia
      • 10.3.14.1. Overview
      • 10.3.14.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.3.14.3. Russia Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.3.14.4. Russia Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.3.14.5. Russia Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.3.15. Poland
      • 10.3.15.1. Overview
      • 10.3.15.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.3.15.3. Poland Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.3.15.4. Poland Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.3.15.5. Poland Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.3.16. Rest of Europe
      • 10.3.16.1. Overview
      • 10.3.16.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.3.16.3. Rest of the Europe Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.3.16.4. Rest of the Europe Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.3.16.5. Rest of the Europe Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
  • 10.4. Asia Pacific (APAC)
    • 10.4.1. Overview
    • 10.4.2. Automated Machine Learning Key Manufacturers in Asia Pacific
    • 10.4.3. APAC Market Size and Forecast, By Country, 2019 - 2032 (US$ Million)
    • 10.4.4. APAC Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
    • 10.4.5. APAC Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
    • 10.4.6. APAC Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.4.7. China
      • 10.4.7.1. Overview
      • 10.4.7.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.4.7.3. China Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.4.7.4. China Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.4.7.5. China Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.4.8. India
      • 10.4.8.1. Overview
      • 10.4.8.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.4.8.3. India Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.4.8.4. India Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.4.8.5. India Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.4.9. Japan
      • 10.4.9.1. Overview
      • 10.4.9.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.4.9.3. Japan Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.4.9.4. Japan Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.4.9.5. Japan Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.4.10. South Korea
      • 10.4.10.1. Overview
      • 10.4.10.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.4.10.3. South Korea Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.4.10.4. South Korea Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.4.10.5. South Korea Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.4.11. Australia
      • 10.4.11.1. Overview
      • 10.4.11.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.4.11.3. Australia Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.4.11.4. Australia Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.4.11.5. Australia Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.4.12. Indonesia
      • 10.4.12.1. Overview
      • 10.4.12.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.4.12.3. Indonesia Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.4.12.4. Indonesia Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.4.12.5. Indonesia Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.4.13. Thailand
      • 10.4.13.1. Overview
      • 10.4.13.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.4.13.3. Thailand Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.4.13.4. Thailand Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.4.13.5. Thailand Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.4.14. Philippines
      • 10.4.14.1. Overview
      • 10.4.14.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.4.14.3. Philippines Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.4.14.4. Philippines Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.4.14.5. Philippines Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.4.15. Rest of APAC
      • 10.4.15.1. Overview
      • 10.4.15.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.4.15.3. Rest of APAC Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.4.15.4. Rest of APAC Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.4.15.5. Rest of APAC Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
  • 10.5. Latin America (LATAM)
    • 10.5.1. Overview
    • 10.5.2. Automated Machine Learning Key Manufacturers in Latin America
    • 10.5.3. LATAM Market Size and Forecast, By Country, 2019 - 2032 (US$ Million)
    • 10.5.4. LATAM Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
    • 10.5.5. LATAM Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
    • 10.5.6. LATAM Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.5.7. Brazil
      • 10.5.7.1. Overview
      • 10.5.7.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.5.7.3. Brazil Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.5.7.4. Brazil Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.5.7.5. Brazil Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.5.8. Mexico
      • 10.5.8.1. Overview
      • 10.5.8.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.5.8.3. Mexico Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.5.8.4. Mexico Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.5.8.5. Mexico Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.5.9. Argentina
      • 10.5.9.1. Overview
      • 10.5.9.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.5.9.3. Argentina Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.5.9.4. Argentina Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.5.9.5. Argentina Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.5.10. Colombia
      • 10.5.10.1. Overview
      • 10.5.10.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.5.10.3. Colombia Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.5.10.4. Colombia Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.5.10.5. Colombia Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.5.11. Rest of LATAM
      • 10.5.11.1. Overview
      • 10.5.11.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.5.11.3. Rest of LATAM Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.5.11.4. Rest of LATAM Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.5.11.5. Rest of LATAM Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
  • 10.6. Middle East and Africa (MEA)
    • 10.6.1. Overview
    • 10.6.2. Automated Machine Learning Key Manufacturers in Middle East and Africa
    • 10.6.3. MEA Market Size and Forecast, By Country, 2019 - 2032 (US$ Million)
    • 10.6.4. MEA Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
    • 10.6.5. MEA Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
    • 10.6.6. MEA Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.6.7. Saudi Arabia
      • 10.6.7.1. Overview
      • 10.6.7.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.6.7.3. Saudi Arabia Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.6.7.4. Saudi Arabia Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.6.7.5. Saudi Arabia Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.6.8. UAE
      • 10.6.8.1. Overview
      • 10.6.8.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.6.8.3. UAE Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.6.8.4. UAE Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.6.8.5. UAE Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.6.9. Israel
      • 10.6.9.1. Overview
      • 10.6.9.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.6.9.3. Israel Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.6.9.4. Israel Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.6.9.5. Israel Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.6.10. Turkey
      • 10.6.10.1. Overview
      • 10.6.10.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.6.10.3. Turkey Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.6.10.4. Turkey Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.6.10.5. Turkey Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.6.11. Algeria
      • 10.6.11.1. Overview
      • 10.6.11.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.6.11.3. Algeria Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.6.11.4. Algeria Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.6.11.5. Algeria Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.6.12. Egypt
      • 10.6.12.1. Overview
      • 10.6.12.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.6.12.3. Egypt Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.6.12.4. Egypt Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.6.12.5. Egypt Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)
    • 10.6.13. Rest of MEA
      • 10.6.13.1. Overview
      • 10.6.13.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
      • 10.6.13.3. Rest of MEA Market Size and Forecast, By Solution, 2019 - 2032 (US$ Million)
      • 10.6.13.4. Rest of MEA Market Size and Forecast, By Automation Type, 2019 - 2032 (US$ Million)
      • 10.6.13.5. Rest of MEA Market Size and Forecast, By End User, 2019 - 2032 (US$ Million)

11. Key Vendor Analysis- Automated Machine Learning Industry

  • 11.1. Competitive Dashboard
    • 11.1.1. Competitive Benchmarking
    • 11.1.2. Competitive Positioning
  • 11.2. Company Profiles
    • 11.2.1. Google Cloud
    • 11.2.2. Microsoft Azure
    • 11.2.3. IBM Watson
    • 11.2.4. Amazon Web Services (AWS)
    • 11.2.5. DataRobot
    • 11.2.6. H2O.ai
    • 11.2.7. SAS
    • 11.2.8. RapidMiner
    • 11.2.9. BigML
    • 11.2.10. Dataiku
    • 11.2.11. KNIME
    • 11.2.12. Auto-sklearn
    • 11.2.13. TPOT
    • 11.2.14. Alteryx
    • 11.2.15. Qualcomm AI
    • 11.2.16. Zest AI
    • 11.2.17. MLflow
    • 11.2.18. Domino Data Lab

12. 360 Degree AnalystView

13. Appendix

  • 13.1. Research Methodology
  • 13.2. References
  • 13.3. Abbreviations
  • 13.4. Disclaimer
  • 13.5. Contact Us