市場調査レポート

商品コード

1548847

自律型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、展開別、業界別、地域別- 産業予測、2024年～2031年

Autonomous Data Platform Market Size, Share, Growth Analysis, By Component, By Organization Size(Small and Medium Enterprises, Large Enterprises), By Deployment, By Vertical, By Region - Industry Forecast 2024-2031

出版日: 2024年08月26日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3～5営業日

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概要
目次

概要

サンプル依頼リストに入れる

自律型データプラットフォームの世界市場規模は、2022年に15億7,000万米ドルと評価され、予測期間中（2024-2031年）にCAGR 23%で、2023年の19億3,000万米ドルから2031年には101億2,000万米ドルまで成長する見通しです。

人工知能（AI）や機械学習などの先端技術の採用が増加していることと、さまざまな分野での自動化やデジタル化の進展が相まって、業界の成長を大きく促進すると予想されます。COVID-19パンデミックは市場に影響を及ぼし、感染率の高まりとリモートワークへのシフトの広がりにより、その余波で成長が鈍化する可能性があります。このシフトにより、多くの企業が効率性の向上とプロセスの合理化のために自律型情報システムに多額の投資を行うようになり、自律型データ・プラットフォームの需要を押し上げています。自律型データプラットフォームは、特にクラウドベースのビジネスにおいて大きな成長の可能性を秘めています。組織がクラウドソリューションを採用し、ハイブリッドクラウドやパブリッククラウドにデータを保持することが増えているため、柔軟で適応性の高い自律型システムへの需要が高まっています。自律型データプラットフォームは優れた柔軟性を提供するため、企業は必要に応じて容量を調整することができ、従来のデータベースシステムと比較して、重要なデータを分析、分散、統合するための高度な方法を提供します。これによりデータ管理能力が強化され、業界の拡大がサポートされます。さらに、業界の成長を支えているのは、メンタルコンピューティングと高度分析の応用の拡大です。インターネット技術の急速な拡大により、非構造化データが大量に発生し、中小企業における自律型データベースへの需要が高まっています。これらのプラットフォームは機械学習を活用し、オペレータの介入を最小限に抑えながらシステムの更新、パッチ適用、バックアップを自動化することで、人的ミスのリスクを低減し、データベースのセキュリティを強化します。技術の進歩が進化を続ける中、企業はデータ管理と分析に対する顧客の要求に応えるため、クラウドベースのサービスを継続的に更新しています。自律的なクラウド環境におけるDevOpsの実践、AI、機械学習、高度な自動化の利用は、シームレスな運用とソフトウェアの提供を促進します。クラウドベースの自律型データプラットフォームの実装に必要な多額の投資は、予測期間中の業界の成長をさらに促進する可能性があります。

市場概要
北米
- 米国
- カナダ
欧州
- ドイツ
- 英国
- フランス
- イタリア
- スペイン
- その他欧州地域
アジア太平洋地域
- 中国
- インド
- 日本
- 韓国
- その他アジア太平洋地域
ラテンアメリカ
- ブラジル
- その他ラテンアメリカ地域
中東・アフリカ（MEA）
- GCC諸国
- 南アフリカ
- その他中東・アフリカ地域

競合情勢

上位5社の比較
主要企業の市場ポジショニング（2023年）
主な市場企業が採用した戦略
市場における最近の活動
主要企業の市場シェア（2023年）

主要企業プロファイル

Cloudera（US）
Informatica（US）
Snowflake（US）
IBM（US）
Microsoft（US）
Oracle（US）
SAP（Germany）
Teradata（US）
Alteryx（US）
Denodo Technologies（Spain）
AtScale（US）
Databricks（US）
Palantir Technologies（US）
HPE（Hewlett Packard Enterprise）（US）
Zaloni（US）
Paramount Group（South Africa）
UralVagonZavod（Russia）
GAZ Group（Russia）
Mahindra Defence Systems（India）
Otokar Otomotiv ve Savunma Sanayi A.S.（Turkey）
International Armored Group（UAE）
BAE Systems Hagglunds AB（Sweden）

Product Code: SQMIG45F2089

Global Autonomous Data Platform Market size was valued at USD 1.57 Billion in 2022 and is poised to grow from USD 1.93 Billion in 2023 to USD 10.12 billion in 2031, at a CAGR 23% during the forecast period (2024-2031).

The increasing adoption of advanced technologies such as artificial intelligence (AI) and machine learning, coupled with the rise in automation and digitization across various sectors, is expected to significantly drive industry growth. The COVID-19 pandemic has had an impact on the market, potentially slowing growth in the aftermath due to heightened transmission rates and the widespread shift to remote work. This shift has led many businesses to invest heavily in autonomous information systems to enhance efficiency and streamline processes, thereby boosting the demand for autonomous data platforms. There is considerable growth potential for autonomous data platforms, particularly in the context of cloud-based businesses. As organizations increasingly adopt cloud solutions and retain their data in hybrid and public clouds, the demand for flexible and adaptable autonomous systems is rising. Autonomous data platforms offer exceptional flexibility, enabling businesses to adjust capacity as needed, and provide advanced methods for analyzing, distributing, and integrating critical data compared to traditional database systems. This enhances data management capabilities and supports industry expansion. Furthermore, the industry's growth is supported by the increasing application of mental computing and advanced analytics. The rapid expansion of internet technologies has resulted in a large volume of unstructured data, driving demand for autonomous databases among small and medium-sized enterprises. These platforms utilize machine learning to automate system updates, patches, and backups with minimal operator intervention, reducing the risk of human error and enhancing database security. As technological advancements continue to evolve, businesses are continually updating their cloud-based services to meet client demands for data management and analysis. The use of DevOps practices, AI, machine learning, and advanced automation within autonomous cloud environments facilitates seamless operations and software delivery. The significant investments required for implementing cloud-based autonomous data platforms may further drive industry growth during the forecast period.

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 Segmental Analysis

The global autonomous data platform market is segmented based on component, organization size, deployment, vertical, and region. Based on components, the market is segmented into platform, services, advisory, integration, and support & maintenance. Based on organization size, the market is segmented into small and medium enterprises (SME), and large enterprises. With respect to segmentation by deployment, 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 global Autonomous Data Platform Market is segmented into North America, Europe, Asia-Pacific, South America, and MEA.

Drivers of the Global Autonomous Data Platform Market

As the volume and variety of data sources rapidly expand, organizations face significant challenges in managing and integrating diverse data sets. Autonomous Data Platforms offer automated solutions that streamline data ingestion, integration, and management, thereby simplifying the complexities inherent in handling vast amounts of information. These platforms address the difficulties associated with data management by automating key processes, which helps organizations efficiently manage and unify disparate data sources. By reducing the manual effort required, Autonomous Data Platforms enable more effective and less cumbersome data management.

Restraints in the Global Autonomous Data Platform Market

Integrating Autonomous Data Platforms into existing IT systems and infrastructure can be a challenging endeavor. Issues such as legacy systems, data silos, and incompatible technologies can create obstacles, resulting in delays and increased costs. Achieving seamless integration with current systems is essential for organizations to fully capitalize on the benefits offered by Autonomous Data Platforms. Effective integration ensures that organizations can maximize the potential of these platforms and optimize their data management processes.

Market Trends of the Global Autonomous Data Platform Market

A notable trend is the increasing adoption of cloud-based Autonomous Data Platforms. Organizations are taking advantage of the scalability, flexibility, and cost-efficiency offered by cloud infrastructure to handle and analyze substantial volumes of data. Additionally, cloud-based solutions facilitate easier access to AI and machine learning technologies. This accessibility allows for quicker deployment and integration of autonomous features, enhancing the overall capabilities and effectiveness of data management systems.

Introduction

Objectives of the Study
Definitions
Market Scope

Research Methodology

Information Procurement
Secondary & Primary Data Sources
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Market Overview Outlook
Supply Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Dynamics
- Drivers
- Opportunities
- Restraints
- Challenges
Porters Analysis
- Competitive rivalry
- Threat of Substitute Products
- Bargaining Power of Buyers
- Threat of New Entrants
- Bargaining Power of Suppliers

Key Market Insights

Key Success Factors of The Market
Degree Of Competition
Top Investment Pockets
Market Attractive Index
Ecosystem Mapping
Technology Analysis
Value Chain Analysis
Patent Analysis
Pricing Analysis
Use Case Analysis
Startup Analysis
Pipeline Analysis

Global Autonomous Data Platform Market by Component

Market Overview
Platform
Services
- Advisory
- Integration
- Support & Maintenance

Global Autonomous Data Platform Market by Organization Size

Market Overview
Small and Medium Enterprise (SME)
Large Enterprise

Global Autonomous Data Platform Market by Deployment

Market Overview
On-Premises
Cloud

Global Autonomous Data Platform Market by Vertical

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

Global Autonomous Data Platform Market Size by Region

Market Overview
North America
- USA
- Canada
Europe
- Germany
- UK
- France
- Italy
- Spain
- Rest of Europe
Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America
- Brazil
- Rest of Latin America
Middle East & Africa (MEA)
- GCC Countries
- South Africa
- Rest of MEA

Competitive Landscape

Top 5 Player Comparison
Market Positioning of Key Players, 2023
Strategies Adopted by Key Market Players
Recent Activities in the Market
Key Companies Market Share (%), 2023

Key Company Profiles

Cloudera (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Informatica (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
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
Alteryx (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
Zaloni (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

自律型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、展開別、業界別、地域別- 産業予測、2024年～2031年

Autonomous Data Platform Market Size, Share, Growth Analysis, By Component, By Organization Size(Small and Medium Enterprises, Large Enterprises), By Deployment, By Vertical, By Region - Industry Forecast 2024-2031

目次

イントロダクション

調査手法

エグゼクティブサマリー

市場力学と見通し

主な市場の考察

自律型データプラットフォーム市場：コンポーネント別

自律型データプラットフォーム市場：組織規模別

自律型データプラットフォーム市場：展開別

自律型データプラットフォーム市場：業界別

自律型データプラットフォーム市場規模：地域別