市場シェアと予測：データサイエンスと機械学習プラットフォーム、2023～2028年、世界規模（2つのレポートのバンドル）

市場シェアの説明

QKSグループは、データサイエンスと機械学習プラットフォーム市場が2028年までにCAGR 32％を記録すると予測していることを明らかにしました。

データサイエンスと機械学習（DSML）プラットフォーム市場は、様々な業界における人工知能（AI）および機械学習（ML）の導入拡大に牽引され、世界的に著しい成長を遂げています。組織は、データから洞察を得てプロセスを自動化し、データ主導の意思決定を行うために、これらのプラットフォームを活用しています。世界市場は、グーグル、マイクロソフト、アマゾン、IBMのような大手ハイテク企業と、DataRobot、Databricks、H2O.aiのような新興企業による強力な競争が特徴です。これらのプラットフォームは、データ準備、モデル開発、デプロイメント、モニタリングなど幅広い機能を提供し、技術的なユーザーにもそうでないユーザーにも対応しています。クラウドコンピューティングの普及は市場の拡大に大きく寄与しており、スケーラブルでコスト効率の高いDSMLソリューションを実現しています。さらに、DSMLプラットフォームとビッグデータ、モノのインターネット（IoT）、エッジコンピューティングといった他の技術との統合が、その有用性をさらに高め、需要を促進しています。また、プラットフォームの機能性とユーザーエクスペリエンスを向上させるための研究開発への投資も増加しています。世界の推定CAGRは約30%であり、DSMLプラットフォーム市場は今後も急速な拡大を続けると見られています。

市場予測

QKSグループは、データサイエンスと機械学習プラットフォーム市場が2028年までにCAGR 32%を記録すると予測していることを明らかにしました。

データサイエンスと機械学習プラットフォームの世界市場予測は、2028年までの有望な成長可能性を示しています。ヘルスケア、金融、小売、製造などさまざまな業界において、高度なアナリティクスやAIを活用した洞察に対する需要が高まっていることから、これらのプラットフォームは大幅な拡大を遂げようとしています。この成長を促進する要因には、ビッグデータの急増、予測分析の必要性、クラウドコンピューティング技術の進歩などがあります。さらに、意思決定と業務効率を高めるためにAIと機械学習をビジネスプロセスに統合することが、市場の成長をさらに後押ししています。企業がデータ主導の戦略やデジタルトランスフォーメーションへの取り組みを優先する中、堅牢な情勢への投資は急増し、革新性と拡張性を特徴とする競合情勢が形成されると予想されます。

目次

Market Share:

第1章 エグゼクティブサマリー

• 主な調査結果
• 主要予測
• 主要動向
• 市場概要

第2章 市場概要

• 市場の定義と範囲
• 市場に影響を与える主な要因
• 促進要因と抑制要因

第3章 世界市場シェア分析

• データサイエンスと機械学習の世界市場シェア分析

第4章 市場シェア分析

• 市場シェア：地域別
• 市場シェア：世界
• 市場シェア：米国
• 市場シェア：カナダ
• 市場シェア：ラテンアメリカ
• 市場シェア：西欧
• 市場シェア：中東欧
• 市場シェア：中東＆アフリカ
• 市場シェア：中国
• 市場シェア：アジア太平洋地域（日本・中国除く）
• 市場シェア：日本
• 市場シェア：業界別
• 市場シェア：メディア＆エンターテイメント
• 市場シェア：小売
• 市場シェア：BFSI
• 市場シェア：旅行・ホスピタリティ
• 市場シェア：教育
• 市場シェア：公共部門
• 市場シェア：ヘルスケア・ライフサイエンス
• 市場シェア：自動車
• 市場シェア：飲食品
• 市場シェア：展開タイプ別
• 市場シェア：オンプレミス
• 市場シェア：クラウド
• 市場シェア：顧客タイプ別
• 市場シェア：中小企業
• 市場シェア：大企業
• 市場シェア：エンタープライズ

第5章 企業プロファイル

• 会社概要
• アナリストの視点と分析

第6章 付録

• 調査手法

Market Forecast:

第1章 エグゼクティブサマリー

• 主要調査結果
• 主要予測
• 主要動向
• 市場概要

第2章 市場概要

• 市場の定義と範囲
• 市場に影響を与える主な要因
• 促進要因と抑制要因

第3章 市場予測分析

• 市場予測：地域別
• 市場予測：世界
• 市場予測：米国
• 市場予測：カナダ
• 市場予測：ラテンアメリカ
• 市場予測：西欧
• 市場予測：中東欧
• 市場予測：中東＆アフリカ
• 市場予測：中国
• 市場予測：アジア太平洋地域（日本・中国除く）
• 市場予測：日本
• 市場予測：業界別
• 市場予測：メディア＆エンターテイメント
• 市場予測：小売
• 市場予測： BFSI
• 市場予測：旅行＆ホスピタリティ
• 市場予測：教育
• 市場予測：公共部門
• 市場予測：ヘルスケア＆ライフサイエンス
• 市場予測：自動車
• 市場予測：飲食品
• 市場予測：展開タイプ別
• 市場予測：オンプレミス
• 市場予測：クラウド
• 市場予測：顧客タイプ別
• 市場予測：中小企業
• 市場予測：大企業
• 市場予測：エンタープライズ

第4章 企業プロファイル

• 会社概要
• アナリストの視点と分析

第5章 付録

• 調査手法

LIST OF FIGURES

Market Share:

• Fig. 1 Market Share of Data Science & Machine Learning Platforms Worldwide, 2023
• Fig. 2 Market Share of Data Science & Machine Learning Platforms USA, 2023
• Fig. 3 Market Share of Data Science & Machine Learning Platforms Canada, 2023
• Fig. 4 Market Share of Data Science & Machine Learning Platforms Latin America, 2023
• Fig. 5 Market Share of Data Science & Machine Learning Platforms Western Europe, 2023
• Fig. 6 Market Share of Data Science & Machine Learning Platforms Central & Eastern Europe, 2023
• Fig. 7 Market Share of Data Science & Machine Learning Platforms Middle East & Africa, 2023
• Fig. 8 Market Share of Data Science & Machine Learning Platforms Asia excluding Japan and China, 2023
• Fig. 9 Market Share of Data Science & Machine Learning Platforms Japan, 2023
• Fig. 10 Market Share of Data Science & Machine Learning Platforms China, 2023
• Fig. 11 Market Share of Data Science & Machine Learning Platforms IT & Telecom Industry, 2023
• Fig. 12 Market Share of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2023
• Fig. 13 Market Share of Data Science & Machine Learning Platforms Insurance Industry, 2023
• Fig. 14 Market Share of Data Science & Machine Learning Platforms Healthcare Industry, 2023
• Fig. 15 Market Share of Data Science & Machine Learning Platforms Government & Public Sector, 2023
• Fig. 16 Market Share of Data Science & Machine Learning Platforms Retail & eCommerce, 2023
• Fig. 17 Market Share of Data Science & Machine Learning Platforms Manufacturing, 2023
• Fig. 18 Market Share of Data Science & Machine Learning Platforms Hospitality, 2023
• Fig. 19 Market Share of Data Science & Machine Learning Platforms On-premises Deployment, 2023
• Fig. 20 Market Share of Data Science & Machine Learning Platforms Cloud Deployment, 2023
• Fig. 21 Market Share of Data Science & Machine Learning Platforms SMB Customers, 2023
• Fig. 22 Market Share of Data Science & Machine Learning Platforms Large Customers, 2023
• Fig. 23 Market Share of Data Science & Machine Learning Platforms Enterprise Customers, 2023

Market Forecast:

• Fig. 1 Market Forecast of Data Science & Machine Learning Platforms Worldwide, 2024-2028
• Fig. 2 Market Forecast of Data Science & Machine Learning Platforms USA, 2024-2028
• Fig. 3 Market Forecast of Data Science & Machine Learning Platforms Canada, 2024-2028
• Fig. 4 Market Forecast of Data Science & Machine Learning Platforms Latin America, 2024-2028
• Fig. 5 Market Forecast of Data Science & Machine Learning Platforms Western Europe, 2024-2028
• Fig. 6 Market Forecast of Data Science & Machine Learning Platforms Central & Eastern Europe, 2024-2028
• Fig. 7 Market Forecast of Data Science & Machine Learning Platforms Middle East & Africa, 2024-2028
• Fig. 8 Market Forecast of Data Science & Machine Learning Platforms Asia excluding Japan and China, 2024-2028
• Fig. 9 Market Forecast of Data Science & Machine Learning Platforms Japan, 2024-2028
• Fig. 10 Market Forecast of Data Science & Machine Learning Platforms China, 2024-2028
• Fig. 11 Market Forecast of Data Science & Machine Learning Platforms IT & Telecom Industry, 2024-2028
• Fig. 12 Market Forecast of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2024-2028
• Fig. 13 Market Forecast of Data Science & Machine Learning Platforms Insurance Industry, 2024-2028
• Fig. 14 Market Forecast of Data Science & Machine Learning Platforms Healthcare Industry, 2024-2028
• Fig. 15 Market Forecast of Data Science & Machine Learning Platforms Government & Public Sector, 2024-2028
• Fig. 16 Market Forecast of Data Science & Machine Learning Platforms Retail & eCommerce, 2024-2028
• Fig. 17 Market Forecast of Data Science & Machine Learning Platforms Manufacturing, 2024-2028
• Fig. 18 Market Forecast of Data Science & Machine Learning Platforms Hospitality, 2024-2028
• Fig. 19 Market Forecast of Data Science & Machine Learning Platforms On-premises Deployment, 2024-2028
• Fig. 20 Market Forecast of Data Science & Machine Learning Platforms Cloud Deployment, 2024-2028
• Fig. 21 Market Forecast of Data Science & Machine Learning Platforms SMB Customers, 2024-2028
• Fig. 22 Market Forecast of Data Science & Machine Learning Platforms Large Customers, 2024-2028
• Fig. 23 Market Forecast of Data Science & Machine Learning Platforms Enterprise Customers, 2024-2028

This product includes two reports: Market Share and Market Forecast.

Market Share Description:

QKS Group Reveals that Data Science and Machine Learning Platforms Market is Projected to Register a CAGR of 32% by 2028.

The market for Data Science and Machine Learning (DSML) platforms is experiencing remarkable growth worldwide, driven by the increasing adoption of artificial intelligence (AI) and machine learning (ML) across various industries. Organizations are leveraging these platforms to gain insights from their data, automate processes, and make data-driven decisions. The global market is characterized by strong competition among leading tech giants such as Google, Microsoft, Amazon, IBM, and emerging players like DataRobot, Databricks, and H2O.ai. These platforms offer a wide range of capabilities, including data preparation, model development, deployment, and monitoring, catering to both technical and non-technical users. The proliferation of cloud computing has significantly contributed to the market's expansion, enabling scalable and cost-effective DSML solutions. Additionally, the integration of DSML platforms with other technologies like big data, Internet of Things (IoT), and edge computing is further enhancing their utility and driving demand. The market is also seeing increased investments in research and development to improve platform functionalities and user experience. With an estimated global CAGR of around 30%, the DSML platforms market is set to continue its rapid expansion, reflecting the critical role of data science and machine learning in modern business strategies.

According to Quadrant Knowledge Solutions, "A data science and machine learning platform is an integrated system/hub built on both code-based libraries and low-code/no-code tools. This platform enables collaboration among data scientists and other stakeholders like data engineers and business analyst across different stages of the data science lifecycle, such as business understanding, data access and preparation, visualization, experimentation, model building, and insight generation. The platform facilitates machine learning engineering tasks, covering data pipeline development, feature engineering, deployment, testing and predictive analysis. The platform gives options between local clients, browsers, or completely managed cloud services to businesses depending upon their requirements."

Market Forecast Description:

QKS Group Reveals that Data Science and Machine Learning Platforms Market is Projected to Register a CAGR of 32% by 2028.

The market forecast for Data Science and Machine Learning Platforms worldwide shows promising growth potential up to 2028. With increasing demand for advanced analytics and AI-driven insights across various industries such as healthcare, finance, retail, and manufacturing, these platforms are poised for substantial expansion. Factors driving this growth include the proliferation of big data, the need for predictive analytics, and advancements in cloud computing technologies. Additionally, the integration of AI and machine learning into business processes to enhance decision-making and operational efficiency further propels market growth. As organizations prioritize data-driven strategies and digital transformation initiatives, investments in robust data science and machine learning platforms are expected to soar, creating a competitive landscape marked by innovation and scalability.

TABLE OF CONTENTS

Market Share:

Chapter 01: Executive Summary

• Key Research Findings
• Top Predictions
• Top Trends
• Market Summary

Chapter 02: Market Overview

• Market Definition and Scope
• Key Factors Impacting the Market
• Drivers & Restraints

Chapter 03: Market Share Analysis- Worldwide

• Global Data Science and Machine Learning Market Share Analysis

Chapter 04: Market Share Analysis

• Market Share by Region
• Market Share Worldwide
• Market Share USA
• Market Share Canada
• Market Share Latin America
• Market Share Western Europe
• Market Share Central & Eastern Europe
• Market Share Middle East & Africa
• Market Share China
• Market Share APAC Ex Japan & China
• Market Share Japan
• Market Share by Industry Verticals
• Market Share by Media & Entertainment
• Market Share by Retail
• Market Share by BFSI
• Market Share by Travel & Hospitality
• Market Share by Education
• Market Share by Public Sector
• Market Share by Healthcare & Life Science
• Market Share by Automotive
• Market Share by Food & Beverage
• Market Share by Deployment Type
• Market Share by Deployment Type: On prem
• Market Share by Deployment Type: Cloud
• Market Share by Customer Type
• Market Share by SMB
• Market Share by Large
• Market Share by Enterprise

Chapter 05: Company Profile

• Company Overview
• Analyst Perspectives and Analysis

Chapter 06: Appendix

• Research Methodologies

Market Forecast:

Chapter 01: Executive Summary

• Key Research Findings
• Top Predictions
• Top Trends
• Market Summary

Chapter 02: Market Overview

• Market Definition and Scope
• Key Factors Impacting the Market
• Drivers & Restraints

Chapter 03: Market Forecast Analysis

• Market Forecast by Region
• Market Forecast Global
• Market Forecast USA
• Market Forecast Canada
• Market Forecast Latin America
• Market Forecast Western Europe
• Market Forecast Central & Eastern Europe
• Market Forecast Middle East & Africa
• Market Forecast China
• Market Forecast APAC Ex Japan & China
• Market Forecast Japan
• Market Forecast by Industry Verticals
• Market Forecast by Media & Entertainment
• Market Forecast by Retail
• Market Forecast by BFSI
• Market Forecast by Travel & Hospitality
• Market Forecast by Education
• Market Forecast by Public Sector
• Market Forecast by Healthcare & Life Science
• Market Forecast by Automotive
• Market Forecast by Food & Beverage
• Market Forecast by Deployment Type
• Market Forecast by Deployment Type: On prem
• Market Forecast Deployment Type: Cloud
• Market Forecast by Customer Type
• Market Forecast by SMB
• Market Forecast by Large
• Market Forecast by Enterprise

Chapter 04: Company Profile

• Company Overview
• Analyst Perspectives and Analysis

Chapter 05: Appendix

• Research Methodologies