自主資料平台市場規模、佔有率、成長分析：按組成部分、組織規模、部署、產業、地區 - 產業預測，2024-2031 年

2022年，自主資料平台的全球市場規模預計為15.7億美元，從2023年的19.3億美元成長到2031年的19.3億美元，預計預測期間（2024-2031年）複合年成長率為23%。成長至101.2億美元。

人工智慧（AI）和機器學習等先進技術的日益採用，加上各領域的自動化數位化進步，預計將顯著推動該行業的成長。 COVID-19 大流行對市場產生了影響，感染率上升和遠距工作的廣泛轉移可能會減緩其後果的成長。這種轉變導致許多公司大力投資自主資訊系統，以提高效率並簡化流程，從而推動對自主資料平台的需求。自主資料平台具有巨大的成長潛力，特別是對於雲端基礎的業務。隨著組織擴大採用雲端解決方案並在混合雲端雲和公共雲端中維護資料，對靈活、適應性強和自主系統的需求不斷增加。自主資料平台提供了極大的靈活性，讓企業可以根據需要調整容量，並提供與傳統資料庫系統相比的先進功能，為分析、分發和整合關鍵資料提供了方法。這將加強資料管理能力並支持行業擴張。此外，心算和高階分析的不斷成長的應用也支持了產業的發展。網際網路技術的快速擴展產生了大量的非結構化資料，增加了中小企業對自主資料庫的需求。這些平台利用機器學習以最少的操作員干預來自動執行系統更新、修補和備份，從而降低人為錯誤的風險並提高資料庫安全性。隨著技術不斷進步，公司不斷更新其雲端基礎的服務，以滿足客戶對資料管理和分析的需求。在自主雲端環境中使用 DevOps 實踐、人工智慧、機器學習和進階自動化可促進無縫操作和軟體交付。實施雲端基礎的自主資料平台所需的大量投資可能會在預測期內進一步推動產業成長。

目錄

介紹

• 研究目的
• 定義
• 市場範圍

調查方法

• 資訊採購
• 二手資料來源和主要資料來源
• 市場規模預測
• 市場假設與限制

執行摘要

• 市場概況展望
• 供需趨勢分析
• 按細分市場的機會分析

市場動態及展望

• 市場動態
  • 促進因素
  • 機會
  • 抑制因素
  • 任務
• 波特的分析

主要市場考察

• 市場成功因素
• 競爭程度
• 主要投資機會
• 市場魅力指數
• 生態系繪圖
• 技術分析
• 價值鏈分析
• 專利分析
• 價格分析
• 使用案例分析
• Start-Ups分析
• 管道分析

自主資料平台市場：按組成部分

• 市場概況
• 平台
• 服務
  • 建議
  • 一體化
  • 支援與維護

自主資料平台市場：依組織規模

• 市場概況
• 小型企業
• 主要企業

自主資料平台市場：依部署分類

• 市場概況
• 本地
• 雲

自主資料平台市場：依產業分類

• 市場概況
• BFSI
• 醫療保健和生命科學
• 零售
• 製造業
• 通訊和媒體
• 政府
• 其他

自主資料平台市場規模：按地區

• 市場概況
• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 西班牙
  • 其他歐洲國家地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地區
• 中東和非洲 (MEA)
  • 海灣合作理事會國家
  • 南非
  • 其他中東/非洲地區

競爭格局

• 前5名企業對比
• 主要企業市場定位（2023年）
• 主要市場參與者所採取的策略
• 近期市集活動
• 主要企業市場佔有率（2023年）

主要企業簡介

• 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 AS（Turkey）
• International Armored Group（UAE）
• BAE Systems Hagglunds AB（Sweden）

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.

Table of Contents

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