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1461181

自動機械学習の世界市場規模調査＆予測、ソリューション別、自動化タイプ別、エンドユーザー別、地域別分析、2023年～2030年

Global Automated Machine Learning Market Size study & Forecast, by Solution, by Automation Type, by End Users and Regional Analysis, 2023-2030
出版日: | 発行: Bizwit Research & Consulting LLP | ページ情報: 英文 200 Pages | 納期: 2～3営業日

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価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=143.78円
自動機械学習の世界市場規模調査＆予測、ソリューション別、自動化タイプ別、エンドユーザー別、地域別分析、2023年～2030年
出版日: 2024年03月22日
発行: Bizwit Research & Consulting LLP
ページ情報: 英文 200 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界の自動機械学習市場は、2022年に約8億7,000万米ドルと評価され、2023年から2030年の予測期間中に43.90％以上の健全な成長率で成長すると予測されています。

自動機械学習とは、実世界の問題に機械学習を適用するエンドツーエンドのプロセスを自動化するプロセスを指します。自動機械学習の目的は、機械学習を非専門家がより利用しやすくし、経験豊富な実務家のワークフローを合理化することです。これには、データ前処理、特徴エンジニアリング、モデル選択、ハイパーパラメータ・チューニング、モデル展開など、機械学習パイプラインの様々なステップを自動化することが含まれます。自動機械学習市場は、データ量の増加や機械学習を搭載したチャットボットに対する需要の高まりなどの要因により拡大しています。その結果、自動機械学習の需要は、予測期間2023年から2030年の間に国際市場で徐々に増加しています。

大規模なデータセットには、より複雑な接続やパターンが含まれることが多く、自動機械学習は大量のデータにアクセスできるようになり、複雑なデータ構造を処理して記録することができるため、より洗練された正確なモデルが得られます。Statistaによると、2020年の世界のデータ量は64.2ゼタバイトで、2025年には181ゼタバイトに達すると予測されています。自動機械学習市場を牽引するもう一つの重要な要因は、機械学習を搭載したチャットボットに対する需要の増加です。機械学習を搭載したチャットボットは、人間のような応答を理解し生成できるモデルの展開を必要とすることが多いです。自動機械学習ツールは、迅速なモデル開発と展開を容易にし、組織が大規模な手動モデルチューニングを必要とせずにチャットボットソリューションを迅速に実装することができます。また、Statistaによると、世界のチャットボット市場は、2025年までに12億5,000万米ドルに達すると予測されています。さらに、クラウドベースの機械学習モデルの増加傾向や、不正検知技術の導入に向けた政府の取り組みは、予測期間中に市場に有利な成長機会を生み出すと予測されています。しかし、標準化の欠如とデータプライバシーへの脅威の高まりが、2023年～2030年の予測期間を通じて市場全体の成長を阻害するものと思われます。

世界の自動機械学習市場の調査で考慮された主要地域には、アジア太平洋、北米、欧州、ラテンアメリカ、中東＆アフリカが含まれます。北米は、同地域における人工知能ソリューションの需要増加により、2022年の市場を独占しました。AIアプリケーションの展開における迅速なターンアラウンドタイムに対する需要の高まりは、AutoMLによって対処されます。自動化されたプロセスはモデル開拓をスピードアップし、企業はAIソリューションをより早く市場に投入することができます。この俊敏性は、AIのタイムリーな導入が競争優位性をもたらす産業において極めて重要です。この地域の圧倒的な実績は、自動機械学習の全体的な需要を促進すると予想されます。さらに、アジア太平洋地域は、同地域における人工知能の拡大に向けた政府の積極的な取り組みなどの要因により、予測期間中に最も急速に成長すると予想されます。

本調査の目的は、近年のさまざまなセグメントと国の市場規模を定義し、今後数年間の値を予測することです。本レポートは、調査対象国における産業の質的・量的側面の両方を盛り込むよう設計されています。

また、市場の将来的な成長を規定する促進要因や課題などの重要な側面に関する詳細情報も提供しています。さらに、主要企業の競合情勢や製品提供の詳細な分析とともに、利害関係者が投資するためのミクロ市場における潜在的な機会も組み込んでいます。

目次

第1章 エグゼクティブサマリー

第2章 世界の自動機械学習市場の定義と範囲

  • 調査目的
  • 市場の定義と範囲
    • 業界の進化
    • 調査範囲
  • 調査対象年
  • 通貨換算レート

第3章 世界の自動機械学習市場力学

  • 自動機械学習市場の影響分析（2020年～2030年）
    • 市場促進要因
      • データ量の増加
      • 機械学習を搭載したチャットボットへの需要の高まり
    • 市場の課題
      • 標準化の欠如
      • データプライバシーへの脅威の高まり
    • 市場機会
      • クラウドベースの機械学習モデルの動向の高まり
      • 不正検知技術の採用に向けた政府の取り組み

第4章 世界の自動機械学習市場産業分析

  • ポーターのファイブフォースモデル
    • 供給企業の交渉力
    • 買い手の交渉力
    • 新規参入業者の脅威
    • 代替品の脅威
    • 競争企業間の敵対関係
  • ポーターのファイブフォース影響分析
  • PEST分析
    • 政治
    • 経済
    • 社会
    • 技術
    • 環境
    • 法律
  • 主な投資機会
  • 主要成功戦略
  • COVID-19影響分析
  • 破壊的動向
  • 業界専門家の視点
  • アナリストの結論・提言

第5章 世界の自動機械学習市場：ソリューション別

  • 市場スナップショット
  • 自動機械学習の世界市場：ソリューション別、実績 - ポテンシャル分析
  • 自動機械学習の世界市場：ソリューション別、推定・予測：2020年～2030年
  • 自動機械学習市場、サブセグメント別分析
    • スタンドアロンまたはオンプレミス
    • クラウド

第6章 自動機械学習の世界市場：自動化タイプ別

  • 市場スナップショット
  • 自動機械学習の世界市場：自動化タイプ別、実績 - ポテンシャル分析
  • 自動機械学習の世界市場、自動化タイプ別推定・予測、2020年～2030年
  • 自動機械学習市場、サブセグメント別分析
    • データ処理
    • フィーチャーエンジニアリング
    • モデリング
    • 可視化

第7章 自動機械学習の世界市場：エンドユーザー別

  • 市場スナップショット
  • 自動機械学習の世界市場：エンドユーザー別、実績 - ポテンシャル分析
  • 自動機械学習の世界市場：エンドユーザー別推定・予測、2020年～2030年
  • 自動機械学習市場、サブセグメント分析
    • BFSI
    • 小売・eコマース
    • ヘルスケア
    • 製造業
    • その他のエンドユーザー

第8章 自動機械学習の世界市場、地域分析

  • 主要国
  • 主な新興国
  • 自動機械学習市場、地域別市場スナップショット
  • 北米
    • 米国
      • ソリューション別の推定・予測、2020年～2030年
      • 自動化タイプ別の推定・予測、2020年～2030年
      • エンドユーザー別の推定・予測、2020年～2030年
    • カナダ
  • 欧州の自動機械学習市場スナップショット
    • 英国
    • ドイツ
    • フランス
    • スペイン
    • イタリア
    • その他の欧州
  • アジア太平洋の自動機械学習市場スナップショット
    • 中国
    • インド
    • 日本
    • オーストラリア
    • 韓国
    • その他のアジア太平洋
  • ラテンアメリカの自動機械学習市場スナップショット
    • ブラジル
    • メキシコ
  • 中東・アフリカ
    • サウジアラビア
    • 南アフリカ
    • その他の中東・アフリカ

第9章 競合情報

  • 主要企業のSWOT分析
  • 主要市場戦略
  • 企業プロファイル
    • DataRobot, Inc
      • 主要情報
      • 概要
      • 財務（データの入手可能性によります）
      • 製品概要
      • 最近の動向
    • Amazon Web Services, Inc
    • DotData, Inc
    • Internatinal Business Machine Corporation
    • Dataiku Inc
    • SAS Institute Inc.
    • Microsoft Corporation
    • Google LLC
    • H2O.ai Inc
    • Aible Inc

第10章 調査プロセス

  • 調査プロセス
    • データマイニング
    • 分析
    • 市場推定
    • 検証
    • 出版
  • 調査属性
  • 調査前提条件
図表

LIST OF TABLES

  • TABLE 1.Global Automated Machine Learning Market, report scope
  • TABLE 2.Global Automated Machine Learning Market estimates & forecasts by Region 2020-2030 (USD Billion)
  • TABLE 3.Global Automated Machine Learning Market estimates & forecasts by Solution 2020-2030 (USD Billion)
  • TABLE 4.Global Automated Machine Learning Market estimates & forecasts by Automation Type 2020-2030 (USD Billion)
  • TABLE 5.Global Automated Machine Learning Market estimates & forecasts by End Users 2020-2030 (USD Billion)
  • TABLE 6.Global Automated Machine Learning Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 7.Global Automated Machine Learning Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 8.Global Automated Machine Learning Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 9.Global Automated Machine Learning Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 10.Global Automated Machine Learning Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 11.Global Automated Machine Learning Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 12.Global Automated Machine Learning Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 13.Global Automated Machine Learning Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 14.Global Automated Machine Learning Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 15.Global Automated Machine Learning Market by region, estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 16.U.S. Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 17.U.S. Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 18.U.S. Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 19.Canada Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 20.Canada Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 21.Canada Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 22.UK Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 23.UK Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 24.UK Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 25.Germany Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 26.Germany Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 27.Germany Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 28.France Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 29.France Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 30.France Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 31.Italy Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 32.Italy Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 33.Italy Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 34.Spain Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 35.Spain Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 36.Spain Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 37.RoE Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 38.RoE Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 39.RoE Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 40.China Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 41.China Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 42.China Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 43.India Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 44.India Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 45.India Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 46.Japan Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 47.Japan Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 48.Japan Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 49.South Korea Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 50.South Korea Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 51.South Korea Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 52.Australia Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 53.Australia Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 54.Australia Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 55.RoAPAC Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 56.RoAPAC Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 57.RoAPAC Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 58.Brazil Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 59.Brazil Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 60.Brazil Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 61.Mexico Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 62.Mexico Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 63.Mexico Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 64.RoLA Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 65.RoLA Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 66.RoLA Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 67.Saudi Arabia Automated Machine Learning Market estimates & forecasts, 2020-2030 (USD Billion)
  • TABLE 68.South Africa Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 69.RoMEA Automated Machine Learning Market estimates & forecasts by segment 2020-2030 (USD Billion)
  • TABLE 70.List of secondary sources, used in the study of global Automated Machine Learning Market
  • TABLE 71.List of primary sources, used in the study of global Automated Machine Learning Market
  • TABLE 72.Years considered for the study
  • TABLE 73.Exchange rates considered

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

LIST OF FIGURES

  • FIG 1.Global Automated Machine Learning Market, research methodology
  • FIG 2.Global Automated Machine Learning Market, Market estimation techniques
  • FIG 3.Global Market size estimates & forecast methods
  • FIG 4.Global Automated Machine Learning Market, key trends 2022
  • FIG 5.Global Automated Machine Learning Market, growth prospects 2023-2030
  • FIG 6.Global Automated Machine Learning Market, porters 5 force model
  • FIG 7.Global Automated Machine Learning Market, pest analysis
  • FIG 8.Global Automated Machine Learning Market, value chain analysis
  • FIG 9.Global Automated Machine Learning Market by segment, 2020 & 2030 (USD Billion)
  • FIG 10.Global Automated Machine Learning Market by segment, 2020 & 2030 (USD Billion)
  • FIG 11.Global Automated Machine Learning Market by segment, 2020 & 2030 (USD Billion)
  • FIG 12.Global Automated Machine Learning Market by segment, 2020 & 2030 (USD Billion)
  • FIG 13.Global Automated Machine Learning Market by segment, 2020 & 2030 (USD Billion)
  • FIG 14.Global Automated Machine Learning Market, regional snapshot 2020 & 2030
  • FIG 15.North America Automated Machine Learning Market 2020 & 2030 (USD Billion)
  • FIG 16.Europe Automated Machine Learning Market 2020 & 2030 (USD Billion)
  • FIG 17.Asia pacific Automated Machine Learning Market 2020 & 2030 (USD Billion)
  • FIG 18.Latin America Automated Machine Learning Market 2020 & 2030 (USD Billion)
  • FIG 19.Middle East & Africa Automated Machine Learning Market 2020 & 2030 (USD Billion)

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

目次

Global Automated Machine Learning Market is valued at approximately USD 0.87 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 43.90% during the forecast period 2023-2030. Automated Machine Learning refers to the process of automating the end-to-end process of applying machine learning to real-world problems. The purpose of automated machine learning is to make machine learning more accessible to non-experts and streamline the workflow for experienced practitioners. It involves automating various steps in the machine learning pipeline, including data preprocessing, feature engineering, model selection, hyperparameter tuning, and model deployment. The Automated Machine Learning Market is expanding because of factors such as the growing volume of data and rising demand for machine-learning-powered chatbots. As a result, the demand for Automated Machine Learning has progressively increased in the international market during the forecast period 2023-2030.

Large datasets frequently include more complicated connections and patterns, and automated machine learning is getting access to large amounts of data, and can handle and record complex data structures, resulting in more sophisticated and accurate models. According to Statista, in 2020, the global volume of data accounts for 64.2 zettabytes and is projected to reach up to 181 zettabytes by the year 2025. Another important factor that drives the Automated Machine Learning Market is the increasing demand for the machine-learning-powered chatbot. Machine-learning-powered chatbots often require the deployment of models that can understand and generate human-like responses. Automated Machine Learning tools facilitate rapid model development and deployment, allowing organizations to quickly implement chatbot solutions without the need for extensive manual model tuning. In addition, as per Statista, the global chatbot market is projected to reach up to USD 1.25 billion by the year 2025. Moreover, the rising trend of cloud-based machine learning models and government initiatives towards the adoption of fraud detection technology is anticipated to create a lucrative growth opportunity for the market over the forecast period. However, the lack of standardization and rising threat to data privacy is going to impede overall market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Automated Machine Learning Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the increasing demand for artificial intelligence solutions in the region. The growing demand for quick turnaround times in deploying AI applications is addressed by AutoML. Automated processes speed up model development, allowing organizations to bring AI solutions to the market faster. This agility is crucial in industries where timely implementation of AI can provide a competitive advantage. The region's dominant performance is anticipated to propel the overall demand for Automated Machine Learning. Furthermore, Asia Pacific is expected to grow fastest over the forecast period, owing to factors such as supportive government initiatives towards the expansion of artificial intelligence in the region.

Major market player included in this report are:

  • DataRobot, Inc
  • Amazon Web Services, Inc
  • DotData, Inc
  • Internatinal Business Machine Corporation
  • Dataiku Inc
  • SAS Institute Inc
  • Microsoft Corporation
  • Google LLC
  • H2O.ai Inc
  • Aible Inc

Recent Developments in the Market:

  • In September 2023, Fujitsu Limited and the Linux Foundation launched automated machine learning and artificial intelligence technologies. The two projects are going to provide customers with software that automatically develops code for new machine learning models, as well as technology that eliminates latent biases in training data. The Linux Foundation approved the incubation of two new projects, "SapientML" and "Intersectional Fairness," to encourage developers around the world to continue experimenting and innovating with AI and machine learning technologies, with plans to host future activities such as hackathons to engage and build a community to promote open-source AI. These projects are going to further democratise AI, resulting in a world in which developers around the world can easily and securely use cutting-edge technologies on open platforms to create new applications and find innovative solutions to business and societal challenges.

Global Automated Machine Learning Market Report Scope:

  • Historical Data - 2020 - 2021
  • Base Year for Estimation - 2022
  • Forecast period - 2023-2030
  • Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Segments Covered - Solution, Automation Type, End Users, Region
  • Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
  • Customization Scope - Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Solution

  • Standalone or On-Premise
  • Cloud

By Automation Type

  • Data Processing
  • Feature Engineering
  • Modeling
  • Visualization

By End Users

  • BFSI
  • Retail and E-Commerce
  • Healthcare
  • Manufacturing
  • Other End Users

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Table of Contents

Chapter 1.Executive Summary

  • 1.1.Market Snapshot
  • 1.2.Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
    • 1.2.1.Automated Machine Learning Market, by Region, 2020-2030 (USD Billion)
    • 1.2.2.Automated Machine Learning Market, by Solution, 2020-2030 (USD Billion)
    • 1.2.3.Automated Machine Learning Market, by Automation Type, 2020-2030 (USD Billion)
    • 1.2.4.Automated Machine Learning Market, by End Users, 2020-2030 (USD Billion)
  • 1.3.Key Trends
  • 1.4.Estimation Methodology
  • 1.5.Research Assumption

Chapter 2.Global Automated Machine Learning Market Definition and Scope

  • 2.1.Objective of the Study
  • 2.2.Market Definition & Scope
    • 2.2.1.Industry Evolution
    • 2.2.2.Scope of the Study
  • 2.3.Years Considered for the Study
  • 2.4.Currency Conversion Rates

Chapter 3.Global Automated Machine Learning Market Dynamics

  • 3.1.Automated Machine Learning Market Impact Analysis (2020-2030)
    • 3.1.1.Market Drivers
      • 3.1.1.1.Growing volume of data
      • 3.1.1.2.Rising demand for machine-learning-powered chatbot
    • 3.1.2.Market Challenges
      • 3.1.2.1.Lack of standardization
      • 3.1.2.2.Rising threat to data privacy
    • 3.1.3.Market Opportunities
      • 3.1.3.1.Rising trend of cloud-based machine learning models
      • 3.1.3.2.Government initiatives towards adoption of fraud detection technology

Chapter 4.Global Automated Machine Learning Market Industry Analysis

  • 4.1.Porter's 5 Force Model
    • 4.1.1.Bargaining Power of Suppliers
    • 4.1.2.Bargaining Power of Buyers
    • 4.1.3.Threat of New Entrants
    • 4.1.4.Threat of Substitutes
    • 4.1.5.Competitive Rivalry
  • 4.2.Porter's 5 Force Impact Analysis
  • 4.3.PEST Analysis
    • 4.3.1.Political
    • 4.3.2.Economical
    • 4.3.3.Social
    • 4.3.4.Technological
    • 4.3.5.Environmental
    • 4.3.6.Legal
  • 4.4.Top investment opportunity
  • 4.5.Top winning strategies
  • 4.6.COVID-19 Impact Analysis
  • 4.7.Disruptive Trends
  • 4.8.Industry Expert Perspective
  • 4.9.Analyst Recommendation & Conclusion

Chapter 5.Global Automated Machine Learning Market, by Solution

  • 5.1.Market Snapshot
  • 5.2.Global Automated Machine Learning Market by Solution, Performance - Potential Analysis
  • 5.3.Global Automated Machine Learning Market Estimates & Forecasts by Solution 2020-2030 (USD Billion)
  • 5.4.Automated Machine Learning Market, Sub Segment Analysis
    • 5.4.1.Standalone or On-Premise
    • 5.4.2.Cloud

Chapter 6.Global Automated Machine Learning Market, by Automation Type

  • 6.1.Market Snapshot
  • 6.2.Global Automated Machine Learning Market by Automation Type, Performance - Potential Analysis
  • 6.3.Global Automated Machine Learning Market Estimates & Forecasts by Automation Type 2020-2030 (USD Billion)
  • 6.4.Automated Machine Learning Market, Sub Segment Analysis
    • 6.4.1.Data Processing
    • 6.4.2.Feature Engineering
    • 6.4.3.Modeling
    • 6.4.4.Visualization

Chapter 7.Global Automated Machine Learning Market, by End Users

  • 7.1.Market Snapshot
  • 7.2.Global Automated Machine Learning Market by End Users, Performance - Potential Analysis
  • 7.3.Global Automated Machine Learning Market Estimates & Forecasts by End Users 2020-2030 (USD Billion)
  • 7.4.Automated Machine Learning Market, Sub Segment Analysis
    • 7.4.1.BFSI
    • 7.4.2.Retail and E-Commerce
    • 7.4.3.Healthcare
    • 7.4.4.Manufacturing
    • 7.4.5.Other End Users

Chapter 8.Global Automated Machine Learning Market, Regional Analysis

  • 8.1.Top Leading Countries
  • 8.2.Top Emerging Countries
  • 8.3.Automated Machine Learning Market, Regional Market Snapshot
  • 8.4.North America Automated Machine Learning Market
    • 8.4.1.U.S. Automated Machine Learning Market
      • 8.4.1.1.Solution breakdown estimates & forecasts, 2020-2030
      • 8.4.1.2.Automation Type breakdown estimates & forecasts, 2020-2030
      • 8.4.1.3.End Users breakdown estimates & forecasts, 2020-2030
    • 8.4.2.Canada Automated Machine Learning Market
  • 8.5.Europe Automated Machine Learning Market Snapshot
    • 8.5.1.U.K. Automated Machine Learning Market
    • 8.5.2.Germany Automated Machine Learning Market
    • 8.5.3.France Automated Machine Learning Market
    • 8.5.4.Spain Automated Machine Learning Market
    • 8.5.5.Italy Automated Machine Learning Market
    • 8.5.6.Rest of Europe Automated Machine Learning Market
  • 8.6.Asia-Pacific Automated Machine Learning Market Snapshot
    • 8.6.1.China Automated Machine Learning Market
    • 8.6.2.India Automated Machine Learning Market
    • 8.6.3.Japan Automated Machine Learning Market
    • 8.6.4.Australia Automated Machine Learning Market
    • 8.6.5.South Korea Automated Machine Learning Market
    • 8.6.6.Rest of Asia Pacific Automated Machine Learning Market
  • 8.7.Latin America Automated Machine Learning Market Snapshot
    • 8.7.1.Brazil Automated Machine Learning Market
    • 8.7.2.Mexico Automated Machine Learning Market
  • 8.8.Middle East & Africa Automated Machine Learning Market
    • 8.8.1.Saudi Arabia Automated Machine Learning Market
    • 8.8.2.South Africa Automated Machine Learning Market
    • 8.8.3.Rest of Middle East & Africa Automated Machine Learning Market

Chapter 9.Competitive Intelligence

  • 9.1.Key Company SWOT Analysis
  • 9.2.Top Market Strategies
  • 9.3.Company Profiles
    • 9.3.1. DataRobot, Inc
      • 9.3.1.1.Key Information
      • 9.3.1.2.Overview
      • 9.3.1.3.Financial (Subject to Data Availability)
      • 9.3.1.4.Product Summary
      • 9.3.1.5.Recent Developments
    • 9.3.2.Amazon Web Services, Inc
    • 9.3.3.DotData, Inc
    • 9.3.4.Internatinal Business Machine Corporation
    • 9.3.5.Dataiku Inc
    • 9.3.6.SAS Institute Inc
    • 9.3.7.Microsoft Corporation
    • 9.3.8.Google LLC
    • 9.3.9.H2O.ai Inc
    • 9.3.10.Aible Inc

Chapter 10.Research Process

  • 10.1.Research Process
    • 10.1.1.Data Mining
    • 10.1.2.Analysis
    • 10.1.3.Market Estimation
    • 10.1.4.Validation
    • 10.1.5.Publishing
  • 10.2.Research Attributes
  • 10.3.Research Assumption