自律データプラットフォーム市場規模、シェア、成長分析、コンポーネント別、組織規模別、展開タイプ別、業界別、地域別-2025年～2032年の産業予測

自律データプラットフォームの世界市場規模は2023年に16億米ドルとなり、予測期間（2025～2032年）のCAGRは25.3%で、2024年の20億米ドルから2032年には121億8,000万米ドルに成長する展望です。

米国の自律データプラットフォーム市場は、コグニティブコンピューティングと高度分析技術の採用の高まりによって、力強い成長が見込まれています。ソーシャルメディアやコネクテッドデバイスの急増により非構造化データが爆発的に増加し、特に中小企業において自律型データベースソリューションへの需要が高まっています。さらに、イノベーションのためのクラウドプラットフォームの普及と、ハイブリッドクラウドやパブリッククラウドを横断する企業データの保存が、クラウド環境における自己完結型データプラットフォームの実用性を後押ししています。自律型データプラットフォームは、機械学習を活用してシームレスな運用を促進し、迅速で安全な分析とデータ合成を可能にします。この技術は、システムの更新、パッチ、バックアップを自動的に処理することで、運用上のモニタリングを最小限に抑え、意思決定者の進化するニーズに確実に応えます。

目次

イントロダクション

• 調査の目的
• 調査範囲
• 定義

調査手法

• 情報調達
• 二次と一次データの方法
• 市場規模予測
• 市場の前提条件と制限

エグゼクティブサマリー

• 世界市場の展望
• 供給と需要の動向分析
• セグメント別機会分析

市場力学と展望

• 市場概要
• 市場規模
• 市場力学
  • 促進要因と機会
  • 抑制要因と課題
• ポーターの分析

主要市場の考察

• 重要成功要因
• 競合の程度
• 主要投資機会
• 市場エコシステム
• 市場の魅力指数（2024年）
• PESTEL分析
• マクロ経済指標
• バリューチェーン分析
• 価格分析
• 技術分析
• 使用事例

自律データプラットフォーム市場規模：コンポーネント別&CAGR（2025～2032年）

• 市場概要
• プラットフォーム
• サービス
  • アドバイザリー
  • インテグレーション
  • サポートとメンテナンス

自律データプラットフォーム市場規模：組織規模別&CAGR（2025～2032年）

• 市場概要
• 大企業
• 中小企業

自律データプラットフォーム市場規模：展開タイプ別&CAGR（2025～2032年）

• 市場概要
• オンプレミス
• クラウド

自律データプラットフォーム市場規模：業界別&CAGR（2025～2032年）

• 市場概要
• BFSI
• 医療とライフサイエンス
• 小売
• 製造業
• 通信とメディア
• 政府
• その他

自律データプラットフォーム市場規模&CAGR（2025～2032年）

• 北米
  • 米国
  • カナダ
• 欧州
  • ドイツ
  • スペイン
  • フランス
  • 英国
  • イタリア
  • その他の欧州
• アジア太平洋
  • 中国
  • インド
  • 日本
  • 韓国
  • その他のアジア太平洋
• ラテンアメリカ
  • ブラジル
  • その他のラテンアメリカ
• 中東・アフリカ
  • GCC諸国
  • 南アフリカ
  • その他の中東・アフリカ

競合情報

• 上位5社の比較
• 主要企業の市場ポジショニング（2024年）
• 主要市場企業が採用した戦略
• 最近の市場動向
• 企業の市場シェア分析（2024年）
• 主要企業の企業プロファイル
  • 企業の詳細
  • 製品ポートフォリオ分析
  • 企業のセグメント別シェア分析
  • 収益の前年比比較（2022～2024年）

    主要企業プロファイル

    • Snowflake（米国）
    • IBM（米国）
    • Microsoft（米国）
    • Oracle（米国）
    • SAP（ドイツ）
    • Teradata（米国）
    • Denodo Technologies（スペイン）
    • AtScale（米国）
    • Databricks（米国）
    • Palantir Technologies（米国）
    • HPE（Hewlett Packard Enterprise）（米国）
    • Paramount Group（南アフリカ）
    • UralVagonZavod（ロシア）
    • GAZ Group（ロシア）
    • Mahindra Defence Systems（インド）
    • Otokar Otomotiv ve Savunma Sanayi A.S.（トルコ）
    • International Armored Group（アラブ首長国連邦）
    • BAE Systems Hagglunds AB（スウェーデン）

結論と提言

Global Autonomous Data Platform Market size was valued at USD 1.6 billion in 2023 and is poised to grow from USD 2.0 billion in 2024 to USD 12.18 billion by 2032, growing at a CAGR of 25.3% during the forecast period (2025-2032).

The US Autonomous Data Platform market is set for robust growth, driven by the rising adoption of cognitive computing and advanced analytics technologies. The surge in social media and connected devices has led to an explosion of unstructured data, increasing demand for autonomous database solutions, particularly among small and medium-sized enterprises. In addition, the proliferation of cloud platforms for innovation and the storage of enterprise data across hybrid and public clouds are propelling the practicality of self-contained data platforms in cloud environments. Autonomous data platforms leverage machine learning to facilitate seamless operations, enabling rapid, secure analysis and data synthesis. This technology minimizes operational oversight by automatically handling system updates, patches, and backups, ensuring they meet the evolving needs of decision-makers.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Autonomous Data Platform market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Autonomous Data Platform Market Segments Analysis

Global Autonomous Data Platform Market is segmented by Component, Organization Size, Deployment Type, Vertical and region. Based on Component, the market is segmented into Platform and Services. Based on Organization Size, the market is segmented into Large Enterprises and Small and Medium-Sized Enterprises. Based on Deployment Type, the market is segmented into On-Premises and Cloud. Based on Vertical, the market is segmented into BFSI, Healthcare and Life Sciences, Retail, Manufacturing, Telecommunication and Media, Government and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Autonomous Data Platform Market

The global market for Autonomous Data Platforms is primarily driven by the increasing demand for real-time data analytics across various sectors. These platforms leverage artificial intelligence and machine learning technologies to provide instant insights through effective data manipulation, integration, and automation. This ability to process data swiftly and accurately is particularly crucial in industries like finance, healthcare, and retail, where timely decision-making can profoundly influence both business outcomes and customer satisfaction. As organizations strive to enhance their operational efficiency and responsiveness, the reliance on autonomous data platforms continues to grow, reinforcing their significance in today's data-driven landscape.

Restraints in the Global Autonomous Data Platform Market

The Global Autonomous Data Platform market faces notable restraints, primarily due to the substantial initial investment required for implementation. The high costs associated with deployment and the necessity for skilled personnel to manage the platforms create barriers to adoption. These financial and resource-related challenges can hinder market growth, particularly in developing regions where budgets are constrained. As organizations weigh the benefits against these significant expenditures, the reluctance to invest in autonomous data solutions may slow the advancement of the market as a whole, impacting broader adoption trends and innovation within the sector.

Market Trends of the Global Autonomous Data Platform Market

The Global Autonomous Data Platform market is poised for significant growth, driven by the accelerating digitization and automation across diverse industries. As organizations increasingly adopt advanced technologies such as machine learning (ML) and artificial intelligence (AI), the demand for autonomous data solutions is surging, particularly in cloud-based environments. The rise of hybrid and public cloud deployments is further fueling this trend, as businesses seek efficient ways to manage and analyze vast amounts of enterprise data. This shift, coupled with the continuous evolution of cloud platforms within emerging companies, presents ample growth opportunities for the autonomous data platform market moving forward.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Drivers & Opportunities
  • Restraints & Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2024
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis
• Technology Analysis
• Case Studies

Global Autonomous Data Platform Market Size by Component & CAGR (2025-2032)

• Market Overview
• Platform
• Services
  • Advisory
  • Integration
  • Support and Maintenance

Global Autonomous Data Platform Market Size by Organization Size & CAGR (2025-2032)

• Market Overview
• Large Enterprises
• Small and Medium-Sized Enterprises

Global Autonomous Data Platform Market Size by Deployment Type & CAGR (2025-2032)

• Market Overview
• On-Premises
• Cloud

Global Autonomous Data Platform Market Size by Vertical & CAGR (2025-2032)

• Market Overview
• BFSI
• Healthcare and Life Sciences
• Retail
• Manufacturing
• Telecommunication and Media
• Government
• Others

Global Autonomous Data Platform Market Size & CAGR (2025-2032)

• North America (Component, Organization Size, Deployment Type, Vertical)
  • US
  • Canada
• Europe (Component, Organization Size, Deployment Type, Vertical)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Component, Organization Size, Deployment Type, Vertical)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Component, Organization Size, Deployment Type, Vertical)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Component, Organization Size, Deployment Type, Vertical)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2024
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2024
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

• Snowflake (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Oracle (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAP (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Teradata (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Denodo Technologies (Spain)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• AtScale (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Databricks (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Palantir Technologies (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• HPE (Hewlett Packard Enterprise) (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Paramount Group (South Africa)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• UralVagonZavod (Russia)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• GAZ Group (Russia)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Mahindra Defence Systems (India)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Otokar Otomotiv ve Savunma Sanayi A.S. (Turkey)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• International Armored Group (UAE)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• BAE Systems Hagglunds AB (Sweden)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations