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MLaaS（Machine Learning As A Service）の世界市場調査レポート：産業分析、規模、シェア、成長、動向、2025年から2033年までの予測

Global Machine Learning As A Service Market Research Report- Industry Analysis, Size, Share, Growth, Trends and Forecast 2025 to 2033

出版日
ページ情報
英文 168 Pages
納期
即日から翌営業日
カスタマイズ可能
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=145.12円
MLaaS（Machine Learning As A Service）の世界市場調査レポート：産業分析、規模、シェア、成長、動向、2025年から2033年までの予測
出版日: 2025年06月01日
発行: Value Market Research
ページ情報: 英文 168 Pages
納期: 即日から翌営業日
GIIご利用のメリット
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  • 概要
  • 図表
  • 目次
概要

MLaaS（Machine Learning As A Service）の世界市場規模は、2024年の396億8,000万米ドルから2033年には4,621億米ドルに成長し、2026年から2033年の予測期間中に31.36％の堅調な年間平均成長率（CAGR）を示すと予測されます。

MLaaS（Machine Learning As A Service）（MLaaS）市場は、さまざまな産業で人工知能（AI）の採用が増加していることを背景に、急激な成長を遂げています。企業が機械学習の力を活用して意思決定を強化し、業務効率を向上させ、競合優位性を獲得しようとしているため、MLaaSソリューションの需要が急増しています。MLaaSは、高度な機械学習アルゴリズムやツールへのアクセスを企業に提供するもので、社内に専門知識やインフラを用意する必要はないです。MLaaSプラットフォームが提供する柔軟性と拡張性により、企業は特定のニーズに合わせた機械学習ソリューションを導入することができ、市場の成長をさらに後押ししています。

さらに、ビッグデータの台頭とクラウド・コンピューティング・リソースの利用可能性の拡大は、MLaaS市場に大きな影響を与えています。企業が膨大な量のデータを生成するにつれて、この情報から価値ある洞察を分析・抽出する能力がますます重要になってきています。MLaaSプロバイダーは、堅牢なデータ処理機能を提供することで、組織がデータの可能性を最大限に活用できるようにし、この動向を活用しています。さらに、モノのインターネット（IoT）やエッジコンピューティングなど、機械学習と他の新興テクノロジーとの統合は、ヘルスケア、金融、製造など、さまざまな部門にイノベーションとアプリケーションの新たな機会を生み出しています。

さらに、自動化と効率化への注目の高まりが、MLaaSソリューションの需要を促進しています。企業は、プロセスの合理化、コスト削減、顧客体験の向上を実現する機械学習の可能性を認識しつつあります。企業がデジタルトランスフォーメーション・イニシアチブへの投資を続ける中、MLaaS市場は、機械学習の力を活用しようとする多様な業種を引き付け、成長すると予想されます。MLaaS市場が発展するにつれ、このような動向を活用し、イノベーションを促進し、AI主導型ソリューションの未来を形作ることができるようになります。

当社のレポートは、様々な業界や市場に関する包括的かつ実用的な洞察をお客様に提供するために綿密に作成されています。各レポートは、市場情勢を完全に理解するために、いくつかの重要な要素を含んでいます：

市場概要：定義、分類、業界の現状など、市場に関する詳細なイントロダクション。

市場力学：市場成長に影響を与える主な促進要因・抑制要因・機会・課題を詳細に分析します。このセクションでは、技術の進歩、規制の変更、新たな動向などの要因を検証します。

セグメンテーション分析：製品タイプ、用途、エンドユーザー、地域などの基準に基づき、市場を明確なセグメントに内訳。この分析により、各セグメントの業績と将来性を明らかにします。

競合情勢：市場シェア、製品ポートフォリオ、戦略的イニシアティブ、財務実績など、主要市場プレイヤーの包括的評価。主要企業が採用する競合力学と主要戦略に関する考察を提供します。

市場予測：過去のデータと現在の市場状況に基づき、一定期間における市場規模と成長動向を予測します。これには、定量的分析と将来の市場軌跡を示すグラフ表示が含まれます。

地域分析：地域ごとの市場パフォーマンスを評価し、主要市場や地域動向を明らかにします。地域の市場力学とビジネスチャンスを理解するのに役立ちます。

新たな動向と機会：現在の市場動向と新たな市場動向、技術革新、潜在的な投資対象分野を特定します。将来の市場開拓と成長見通しに関する洞察を提供します。

目次

第1章 序文

第2章 エグゼクティブサマリー

  • 市場のハイライト
  • 世界市場スナップショット

第3章 MLaaS（Machine Learning As A Service）産業分析

  • イントロダクション：市場力学
  • 市場促進要因
  • 市場抑制要因
  • 機会
  • 業界動向
  • ポーターのファイブフォース分析
  • 市場の魅力分析

第4章 バリューチェーン分析

  • バリューチェーン分析
  • 原材料分析
    • 原材料リスト
    • 原材料メーカーリスト
    • 主要原材料の価格動向
  • 潜在的バイヤーリスト
  • マーケティングチャネル
    • ダイレクトマーケティング
    • インダイレクトマーケティング
    • マーケティングチャネル発展動向

第5章 MLaaS（Machine Learning As A Service）の世界市場分析：コンポーネント別

  • 概要
  • 過去および予測データ分析
  • ソフトウェアツール
  • クラウドAPI
  • ウェブベースのAPI

第6章 MLaaS（Machine Learning As A Service）の世界市場分析：用途別

  • 概要
  • 過去および予測データ分析
  • ネットワーク分析
  • 予知保全
  • 拡張現実
  • マーケティングと広告
  • リスク分析
  • 不正検知

第7章 MLaaS（Machine Learning As A Service）の世界市場分析：組織規模別

  • 概要
  • 過去および予測データ分析
  • 大企業
  • 中小企業

第8章 MLaaS（Machine Learning As A Service）の世界市場分析：エンドユーザー別

  • 概要
  • 過去および予測データ分析
  • 製造業
  • ヘルスケア
  • BFSI
  • 運輸
  • 政府機関
  • 小売

第9章 MLaaS（Machine Learning As A Service）の世界市場分析：地域別

  • 地域別展望
  • イントロダクション
  • 北米の売上分析
    • 概要、実績と予測
    • 北米：セグメント別
    • 北米国別
    • 米国
    • カナダ
    • メキシコ
  • 欧州売上分析
    • 概要、実績と予測
    • 欧州セグメント別
    • 欧州国別
    • 英国
    • フランス
    • ドイツ
    • イタリア
    • ロシア
    • その他欧州
  • アジア太平洋地域売上分析
    • 概要、実績と予測
    • アジア太平洋地域セグメント別
    • アジア太平洋地域国別
    • 中国
    • インド
    • 日本
    • 韓国
    • オーストラリア
    • 東南アジア
    • その他アジア太平洋地域
  • ラテンアメリカ売上分析
    • 概要、実績と予測
    • ラテンアメリカセグメント別
    • ラテンアメリカ国別
    • ブラジル
    • アルゼンチン
    • ペルー
    • チリ
    • その他ラテンアメリカ
  • 中東・アフリカ売上分析
    • 概要、実績と予測
    • 中東・アフリカセグメント別
    • 中東・アフリカ国別一覧
    • サウジアラビア
    • アラブ首長国連邦
    • イスラエル
    • 南アフリカ
    • その他中東とアフリカ

第10章 MLaaS（Machine Learning As A Service）企業の競合情勢

  • MLaaS（Machine Learning As A Service）市場の競合
  • 提携・協力・合意
  • 合併・買収
  • 新製品の発表
  • その他の開発

第11章 企業プロファイル

  • 上位企業の市場シェア分析
  • 市場集中度
  • Google
  • IBM
  • Amazon Web Services
  • BigML
  • AT&T
  • AI
  • Microsoft
  • Yottamine Analytics
  • Ersatz Labs Inc.
  • Sift Science Inc
図表

LIST OF TABLES

  • Market Snapshot
  • Drivers: Impact Analysis
  • Restraints: Impact Analysis
  • List of Raw Material
  • List of Raw Material Manufactures
  • Analysis By Component (USD MN)
  • Software Tools Market Sales By Geography (USD MN)
  • Cloud APIs Market Sales By Geography (USD MN)
  • Web-based APIs Market Sales By Geography (USD MN)
  • Analysis By Application (USD MN)
  • Network Analytics Market Sales By Geography (USD MN)
  • Predictive Maintenance Market Sales By Geography (USD MN)
  • Augmented Reality Market Sales By Geography (USD MN)
  • Marketing and Advertising Market Sales By Geography (USD MN)
  • Risk Analytics Market Sales By Geography (USD MN)
  • Fraud Detection Market Sales By Geography (USD MN)
  • Analysis By Organization Size (USD MN)
  • Large Enterprise Market Sales By Geography (USD MN)
  • Small & Medium Enterprise Market Sales By Geography (USD MN)
  • Analysis By End-User (USD MN)
  • Manufacturing Market Sales By Geography (USD MN)
  • Healthcare Market Sales By Geography (USD MN)
  • BFSI Market Sales By Geography (USD MN)
  • Transportation Market Sales By Geography (USD MN)
  • Government Market Sales By Geography (USD MN)
  • Retail Market Sales By Geography (USD MN)
  • Global Machine Learning As A Service Market Sales By Geography (USD MN)
  • North America Market Analysis (USD MN)
  • United States Market Analysis (USD MN)
  • Canada Market Analysis (USD MN)
  • Mexico Market Analysis (USD MN)
  • Europe Market Analysis (USD MN)
  • Europe Market Estimate By Country (USD MN)
  • United Kingdom Market Analysis (USD MN)
  • France Market Analysis (USD MN)
  • Germany Market Analysis (USD MN)
  • Italy Market Analysis (USD MN)
  • Russia Market Analysis (USD MN)
  • Spain Market Analysis (USD MN)
  • Rest of Europe Market Analysis (USD MN)
  • Asia Pacific Market Analysis (USD MN)
  • China Market Analysis (USD MN)
  • Japan Market Analysis (USD MN)
  • India Market Analysis (USD MN)
  • South Korea Market Analysis (USD MN)
  • Australia Market Analysis (USD MN)
  • South East Asia Market Analysis (USD MN)
  • Rest of Asia Pacific Market Analysis (USD MN)
  • Latin America Market Analysis (USD MN)
  • Brazil Market Analysis (USD MN)
  • Argentina Market Analysis (USD MN)
  • Peru Market Analysis (USD MN)
  • Chile Market Analysis (USD MN)
  • Rest of Latin America Market Analysis (USD MN)
  • Middle East & Africa Market Analysis (USD MN)
  • Saudi Arabia Market Analysis (USD MN)
  • UAE Market Analysis (USD MN)
  • Israel Market Analysis (USD MN)
  • South Africa Market Analysis (USD MN)
  • Rest of Middle East and Africa Market Analysis (USD MN)
  • Partnership/Collaboration/Agreement
  • Mergers And Acquisition

LIST OF FIGURES

  • Research Scope of Machine Learning As A Service Report
  • Market Research Process
  • Market Research Methodology
  • Global Machine Learning As A Service Market Size, By Region (USD MN)
  • Porters Five Forces Analysis
  • Market Attractiveness Analysis By Component
  • Market Attractiveness Analysis By Application
  • Market Attractiveness Analysis By Organization Size
  • Market Attractiveness Analysis By End-User
  • Market Attractiveness Analysis By Region
  • Value Chain Analysis
  • Global Market Analysis By Component (USD MN)
  • Software Tools Market Sales By Geography (USD MN)
  • Cloud APIs Market Sales By Geography (USD MN)
  • Web-based APIs Market Sales By Geography (USD MN)
  • Global Market Analysis By Application (USD MN)
  • Network Analytics Market Sales By Geography (USD MN)
  • Predictive Maintenance Market Sales By Geography (USD MN)
  • Augmented Reality Market Sales By Geography (USD MN)
  • Marketing and Advertising Market Sales By Geography (USD MN)
  • Risk Analytics Market Sales By Geography (USD MN)
  • Fraud Detection Market Sales By Geography (USD MN)
  • Global Market Analysis By Organization Size (USD MN)
  • Large Enterprise Market Sales By Geography (USD MN)
  • Small & Medium Enterprise Market Sales By Geography (USD MN)
  • Global Market Analysis By End-User (USD MN)
  • Manufacturing Market Sales By Geography (USD MN)
  • Healthcare Market Sales By Geography (USD MN)
  • BFSI Market Sales By Geography (USD MN)
  • Transportation Market Sales By Geography (USD MN)
  • Government Market Sales By Geography (USD MN)
  • Retail Market Sales By Geography (USD MN)
  • Global Market Sales (USD MN)
  • North America Market Sales (USD MN)
  • Europe Market Sales (USD MN)
  • Asia Pacific Market Sales (USD MN)
  • Latin America Market Sales (USD MN)
  • Middle East & Africa Market Sales (USD MN)
  • Recent Development in Industry
  • Top Company Market Share Analysis

Kindly note that the above listed are the basic tables and figures of the report and are not limited to the TOC.

目次
Product Code: VMR11210820

Global Machine Learning As A Service Market size is anticipated to grow from USD 39.68 Billion in 2024 to USD 462.1 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 31.36% during the forecast period of 2026 to 2033.

The machine learning as a service (MLaaS) market is experiencing exponential growth, driven by the increasing adoption of artificial intelligence (AI) across various industries. As organizations seek to leverage the power of machine learning to enhance decision-making, improve operational efficiency, and gain competitive advantages, the demand for MLaaS solutions is surging. These services provide businesses with access to advanced machine learning algorithms and tools without the need for extensive in-house expertise or infrastructure. The flexibility and scalability offered by MLaaS platforms enable organizations to implement machine learning solutions tailored to their specific needs, further propelling market growth.

Moreover, the rise of big data and the growing availability of cloud computing resources are significantly influencing the MLaaS market. As businesses generate vast amounts of data, the ability to analyze and extract valuable insights from this information is becoming increasingly critical. MLaaS providers are capitalizing on this trend by offering robust data processing capabilities, enabling organizations to harness the full potential of their data. Additionally, the integration of machine learning with other emerging technologies, such as the Internet of Things (IoT) and edge computing, is creating new opportunities for innovation and application across various sectors, including healthcare, finance, and manufacturing.

Furthermore, the increasing focus on automation and efficiency is driving the demand for MLaaS solutions. Organizations are recognizing the potential of machine learning to streamline processes, reduce costs, and enhance customer experiences. As businesses continue to invest in digital transformation initiatives, the MLaaS market is expected to thrive, attracting a diverse range of industries seeking to harness the power of machine learning. As the market evolves, it is well-positioned to capitalize on these trends, driving innovation and shaping the future of AI-driven solutions.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

SEGMENTATION COVERED IN THE REPORT

By Component

  • Software Tools
  • Cloud APIs
  • Web-based APIs

By Application

  • Network Analytics
  • Predictive Maintenance
  • Augmented Reality
  • Marketing and Advertising
  • Risk Analytics
  • Fraud Detection

By Organization Size

  • Large Enterprise
  • Small & Medium Enterprise

By End-User

  • Manufacturing
  • Healthcare
  • BFSI
  • Transportation
  • Government
  • Retail
  • COMPANIES PROFILED
  • Google
  • IBM
  • Amazon Web Services
  • BigML
  • AT&T
  • AI
  • Microsoft
  • Yottamine Analytics
  • Ersatz Labs Inc.
  • Sift Science Inc.
  • The above list can be customized.

TABLE OF CONTENTS

1. PREFACE

  • 1.1. Report Description
    • 1.1.1 Objective
    • 1.1.2 Target Audience
    • 1.1.3 Unique Selling Proposition (USP) & offerings
  • 1.2. Research Scope
  • 1.3. Research Methodology
    • 1.3.1 Market Research Process
    • 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

  • 2.1. Highlights of Market
  • 2.2. Global Market Snapshot

3. MACHINE LEARNING AS A SERVICE INDUSTRY ANALYSIS

  • 3.1. Introduction - Market Dynamics
  • 3.2. Market Drivers
  • 3.3. Market Restraints
  • 3.4. Opportunities
  • 3.5. Industry Trends
  • 3.6. Porter's Five Force Analysis
  • 3.7. Market Attractiveness Analysis
    • 3.7.1 Market Attractiveness Analysis By Component
    • 3.7.2 Market Attractiveness Analysis By Application
    • 3.7.3 Market Attractiveness Analysis By Organization Size
    • 3.7.4 Market Attractiveness Analysis By End-User
    • 3.7.5 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

  • 4.1. Value Chain Analysis
  • 4.2. Raw Material Analysis
    • 4.2.1 List of Raw Materials
    • 4.2.2 Raw Material Manufactures List
    • 4.2.3 Price Trend of Key Raw Materials
  • 4.3. List of Potential Buyers
  • 4.4. Marketing Channel
    • 4.4.1 Direct Marketing
    • 4.4.2 Indirect Marketing
    • 4.4.3 Marketing Channel Development Trend

5. GLOBAL MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY COMPONENT

  • 5.1. Overview By Component
  • 5.2. Historical and Forecast Data Analysis By Component
  • 5.3. Software Tools Historic and Forecast Sales By Regions
  • 5.4. Cloud APIs Historic and Forecast Sales By Regions
  • 5.5. Web-based APIs Historic and Forecast Sales By Regions

6. GLOBAL MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY APPLICATION

  • 6.1. Overview By Application
  • 6.2. Historical and Forecast Data Analysis By Application
  • 6.3. Network Analytics Historic and Forecast Sales By Regions
  • 6.4. Predictive Maintenance Historic and Forecast Sales By Regions
  • 6.5. Augmented Reality Historic and Forecast Sales By Regions
  • 6.6. Marketing and Advertising Historic and Forecast Sales By Regions
  • 6.7. Risk Analytics Historic and Forecast Sales By Regions
  • 6.8. Fraud Detection Historic and Forecast Sales By Regions

7. GLOBAL MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY ORGANIZATION SIZE

  • 7.1. Overview By Organization Size
  • 7.2. Historical and Forecast Data Analysis By Organization Size
  • 7.3. Large Enterprise Historic and Forecast Sales By Regions
  • 7.4. Small & Medium Enterprise Historic and Forecast Sales By Regions

8. GLOBAL MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY END-USER

  • 8.1. Overview By End-User
  • 8.2. Historical and Forecast Data Analysis By End-User
  • 8.3. Manufacturing Historic and Forecast Sales By Regions
  • 8.4. Healthcare Historic and Forecast Sales By Regions
  • 8.5. BFSI Historic and Forecast Sales By Regions
  • 8.6. Transportation Historic and Forecast Sales By Regions
  • 8.7. Government Historic and Forecast Sales By Regions
  • 8.8. Retail Historic and Forecast Sales By Regions

9. GLOBAL MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY GEOGRAPHY

  • 9.1. Regional Outlook
  • 9.2. Introduction
  • 9.3. North America Sales Analysis
    • 9.3.1 Overview, Historic and Forecast Data Sales Analysis
    • 9.3.2 North America By Segment Sales Analysis
    • 9.3.3 North America By Country Sales Analysis
    • 9.3.4 United States Sales Analysis
    • 9.3.5 Canada Sales Analysis
    • 9.3.6 Mexico Sales Analysis
  • 9.4. Europe Sales Analysis
    • 9.4.1 Overview, Historic and Forecast Data Sales Analysis
    • 9.4.2 Europe By Segment Sales Analysis
    • 9.4.3 Europe By Country Sales Analysis
    • 9.4.4 United Kingdom Sales Analysis
    • 9.4.5 France Sales Analysis
    • 9.4.6 Germany Sales Analysis
    • 9.4.7 Italy Sales Analysis
    • 9.4.8 Russia Sales Analysis
    • 9.4.9 Rest Of Europe Sales Analysis
  • 9.5. Asia Pacific Sales Analysis
    • 9.5.1 Overview, Historic and Forecast Data Sales Analysis
    • 9.5.2 Asia Pacific By Segment Sales Analysis
    • 9.5.3 Asia Pacific By Country Sales Analysis
    • 9.5.4 China Sales Analysis
    • 9.5.5 India Sales Analysis
    • 9.5.6 Japan Sales Analysis
    • 9.5.7 South Korea Sales Analysis
    • 9.5.8 Australia Sales Analysis
    • 9.5.9 South East Asia Sales Analysis
    • 9.5.10 Rest Of Asia Pacific Sales Analysis
  • 9.6. Latin America Sales Analysis
    • 9.6.1 Overview, Historic and Forecast Data Sales Analysis
    • 9.6.2 Latin America By Segment Sales Analysis
    • 9.6.3 Latin America By Country Sales Analysis
    • 9.6.4 Brazil Sales Analysis
    • 9.6.5 Argentina Sales Analysis
    • 9.6.6 Peru Sales Analysis
    • 9.6.7 Chile Sales Analysis
    • 9.6.8 Rest of Latin America Sales Analysis
  • 9.7. Middle East & Africa Sales Analysis
    • 9.7.1 Overview, Historic and Forecast Data Sales Analysis
    • 9.7.2 Middle East & Africa By Segment Sales Analysis
    • 9.7.3 Middle East & Africa By Country Sales Analysis
    • 9.7.4 Saudi Arabia Sales Analysis
    • 9.7.5 UAE Sales Analysis
    • 9.7.6 Israel Sales Analysis
    • 9.7.7 South Africa Sales Analysis
    • 9.7.8 Rest Of Middle East And Africa Sales Analysis

10. COMPETITIVE LANDSCAPE OF THE MACHINE LEARNING AS A SERVICE COMPANIES

  • 10.1. Machine Learning As A Service Market Competition
  • 10.2. Partnership/Collaboration/Agreement
  • 10.3. Merger And Acquisitions
  • 10.4. New Product Launch
  • 10.5. Other Developments

11. COMPANY PROFILES OF MACHINE LEARNING AS A SERVICE INDUSTRY

  • 11.1. Top Companies Market Share Analysis
  • 11.2. Market Concentration Rate
  • 11.3. Google
    • 11.3.1 Company Overview
    • 11.3.2 Company Revenue
    • 11.3.3 Products
    • 11.3.4 Recent Developments
  • 11.4. IBM
    • 11.4.1 Company Overview
    • 11.4.2 Company Revenue
    • 11.4.3 Products
    • 11.4.4 Recent Developments
  • 11.5. Amazon Web Services
    • 11.5.1 Company Overview
    • 11.5.2 Company Revenue
    • 11.5.3 Products
    • 11.5.4 Recent Developments
  • 11.6. BigML
    • 11.6.1 Company Overview
    • 11.6.2 Company Revenue
    • 11.6.3 Products
    • 11.6.4 Recent Developments
  • 11.7. AT&T
    • 11.7.1 Company Overview
    • 11.7.2 Company Revenue
    • 11.7.3 Products
    • 11.7.4 Recent Developments
  • 11.8. AI
    • 11.8.1 Company Overview
    • 11.8.2 Company Revenue
    • 11.8.3 Products
    • 11.8.4 Recent Developments
  • 11.9. Microsoft
    • 11.9.1 Company Overview
    • 11.9.2 Company Revenue
    • 11.9.3 Products
    • 11.9.4 Recent Developments
  • 11.10. Yottamine Analytics
    • 11.10.1 Company Overview
    • 11.10.2 Company Revenue
    • 11.10.3 Products
    • 11.10.4 Recent Developments
  • 11.11. Ersatz Labs Inc.
    • 11.11.1 Company Overview
    • 11.11.2 Company Revenue
    • 11.11.3 Products
    • 11.11.4 Recent Developments
  • 11.12. Sift Science Inc
    • 11.12.1 Company Overview
    • 11.12.2 Company Revenue
    • 11.12.3 Products
    • 11.12.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of private companies