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市场调查报告书
商品编码
1548847

自主资料平台市场规模、份额、成长分析:按组成部分、组织规模、部署、产业、地区 - 产业预测,2024-2031 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

出版日期: | 出版商: SkyQuest | 英文 197 Pages | 商品交期: 3-5个工作天内

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简介目录

2022年,自主资料平台的全球市场规模预计为15.7亿美元,从2023年的19.3亿美元成长到2031年的19.3亿美元,预计预测期间(2024-2031年)复合年增长率为23%。增长至101.2亿美元。

人工智慧(AI)和机器学习等先进技术的日益采用,加上各领域的自动化数位化进步,预计将显着推动该行业的成长。 COVID-19 大流行对市场产生了影响,感染率上升和远距工作的广泛转移可能会减缓其后果的成长。这种转变导致许多公司大力投资自主资讯系统,以提高效率并简化流程,从而推动对自主资料平台的需求。自主资料平台具有巨大的成长潜力,特别是对于云端基础的业务。随着组织越来越多地采用云端解决方案并在混合云端云和公共云端中维护资料,对灵活、适应性强和自主系统的需求不断增加。自主资料平台提供了极大的灵活性,让企业可以根据需要调整容量,并提供与传统资料库系统相比的先进功能,为分析、分发和整合关键资料提供了方法。这将加强资料管理能力并支持行业扩张。此外,心算和高阶分析的不断增长的应用也支持了产业的发展。互联网技术的快速扩展产生了大量的非结构化资料,增加了中小企业对自主资料库的需求。这些平台利用机器学习以最少的操作员干预来自动执行系统更新、修补和备份,从而降低人为错误的风险并提高资料库安全性。随着技术不断进步,公司不断更新其云端基础的服务,以满足客户对资料管理和分析的需求。在自主云端环境中使用 DevOps 实践、人工智慧、机器学习和进阶自动化可促进无缝操作和软体交付。实施云端基础的自主资料平台所需的大量投资可能会在预测期内进一步推动产业成长。

目录

介绍

  • 研究目的
  • 定义
  • 市场范围

调查方法

  • 资讯采购
  • 二手资料来源和主要资料来源
  • 市场规模预测
  • 市场假设与限制

执行摘要

  • 市场概况展望
  • 供需趋势分析
  • 按细分市场的机会分析

市场动态及展望

  • 市场动态
    • 促进因素
    • 机会
    • 抑制因素
    • 任务
  • 波特的分析

主要市场考察

  • 市场成功因素
  • 竞争程度
  • 主要投资机会
  • 市场魅力指数
  • 生态系绘图
  • 技术分析
  • 价值链分析
  • 专利分析
  • 价格分析
  • 使用案例分析
  • Start-Ups分析
  • 管道分析

自主资料平台市场:按组成部分

  • 市场概况
  • 平台
  • 服务
    • 建议
    • 一体化
    • 支援与维护

自主资料平台市场:依组织规模

  • 市场概况
  • 小型企业
  • 大公司

自主资料平台市场:依部署划分

  • 市场概况
  • 本地

自主资料平台市场:依产业分类

  • 市场概况
  • BFSI
  • 医疗保健和生命科学
  • 零售
  • 製造业
  • 通讯和媒体
  • 政府
  • 其他的

自主资料平台市场规模:按地区

  • 市场概况
  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 其他欧洲国家地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地区
  • 中东和非洲 (MEA)
    • 海湾合作委员会国家
    • 南非
    • 其他中东/非洲地区

竞争格局

  • 前5名企业对比
  • 主要企业市场定位(2023年)
  • 主要市场参与者所采取的策略
  • 近期市集活动
  • 主要企业市场占有率(2023年)

主要企业简介

  • 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)
简介目录
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.

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