自动化数据平台市场:现状分析与预测(2022-2030)
市场调查报告书
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1272665

自动化数据平台市场:现状分析与预测(2022-2030)

Automated Data Platform Market: Current Analysis and Forecast (2022-2030)

出版日期: | 出版商: UnivDatos Market Insights Pvt Ltd | 英文 163 Pages | 商品交期: 最快1-2个工作天内

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简介目录

由于认知计算和高级分析技术的日益普及,自动化数据平台市场预计在预测期内将以 21.6% 的复合年增长率增长。 此外,工业界数位化和自动化的进步、对实时资讯不断增长的需求以及机器学习(ML)和人工智能(AI)等尖端技术的出现都是推动增长的因素市场。 此外,企业正在采取投资、併购等策略来帮助市场增长并扩大商机。 例如,2022 年 5 月,Oracle 和企业数据管理云端工具提供商 Informatica 将加入数据库、数据库服务器、大数据解决方案、数据湖站、业务分析和数据科学工具以及顶级合作提供云资讯管理、连接和监管解决方案。

根据组件,市场分为平台、咨询、集成、支持和维护等服务。 其中,由于数位和云平台的增长等技术发展的不断进步以及对分析的需求不断增加,平台细分市场预计将继续扩大,并在 2021 年占据较大的市场份额。

根据部署,市场分为本地部署和云端部署。 云市场在市场上保持高增长率,预计在预测期内将以显着的复合年增长率增长。 基于云的虚拟环境灵活且经济高效,允许企业随时从任何互连设备访问资讯。 此外,引入基于云的解决方案所驱动的服务交付的简化是推动该细分市场增长的主要因素。 此外,云端产品的支出也大幅增加。 例如,根据国际数据公司 (IDC) 全球季度企业基础设施追踪报告:买家和云端部署,2022 年第一季度 (1Q22) 用于云端部署的计算和存储基础设施产品(包括专用和共享环境)的支出将为183亿美元,同比增长17.2%。

根据组织规模,市场分为中小企业和大型企业。 其中,大型企业的平台部门将在预测期内处于领先地位。 这是因为小型企业更喜欢手动而不是自动化数据平台。 另一方面,大型企业在处理大量结构化和非结构化数据时严重依赖数据自动化。 此外,自动化数据平台提供数据程序的长期持久性。

按行业划分,市场分为 BSFI、医疗保健、零售、政府和其他。 其中,BFSI 在 2021 年占据了相当大的市场份额。 自主数据基础设施已受到 BFSI 行业的大力欢迎。 为了提供定制的一对一客户体验,公司正在使用分析技术来提取信息。 这有助于推动该细分市场的增长。

为了更好地了解自动化数据平台行业的市场采用情况,市场包括北美(美国、加拿大、北美其他地区)、欧洲(德国、英国、法国、意大利、西班牙、欧洲其他地区) 、亚太地区(中国)。、日本、印度、韩国和亚太地区其他地区)以及世界其他地区。 北美地区占销售额的最大份额。 与美国和加拿大等新兴经济体一样,该地区被认为是采用现代技术和基于云的解决方案最先进的地区。 在北美,手机和互联网的普及导致了市场的大幅繁荣。

内容

第 1 章市场介绍

  • 市场定义
  • 主要目的
  • 利益相关者
  • 限制

第 2 章研究方法或假设

  • 研究过程
  • 调查方法
  • 受访者简介

第 3 章市场总结

第 4 章执行摘要

第 5 章 COVID-19 对全球自动化数据平台市场的影响

第 6 章 2020-2028 年全球自动化数据平台市场收入

第 7 章市场洞察:按组成部分

  • 服务
    • 平台
    • 咨询
    • 整合
    • 支持和维护

第 8 章市场洞察:按部署

  • 本地
  • 云端

第 9 章市场洞察:按组织规模

  • 中小企业
  • 大企业

第 10 章市场洞察:按行业

  • BSFI
  • 医疗保健
  • 零售
  • 政府
  • 其他

第 11 章市场洞察:按地区

  • 北美自动化数据平台市场
    • 美国
    • 加拿大
    • 其他北美地区
  • 欧洲的自动化数据平台市场
    • 德国
    • 英国
    • 法国
    • 意大利
    • 西班牙
    • 其他欧洲地区
  • 亚太地区自动化数据平台市场
    • 中国
    • 日本
    • 印度
    • 亚太地区的其他国家/地区
  • 其他地区的自动化数据平台市场

第 12 章自动化数据平台市场动态

  • 市场促进因素
  • 市场挑战
  • 影响分析

第 13 章自动化数据平台市场机会

第 14 章自动化数据平台市场趋势

第 15 章需求侧与供给侧分析

  • 需求方分析
  • 供应方分析

第 16 章价值链分析

第 17 章价格分析

第 18 章战略见解

第 19 章衝突场景

  • 竞争格局
    • 波特五力分析

第 20 章公司简介

  • Oracle
  • Amazon Web Services, Inc
  • Teradata
  • IBM
  • Hewlett Packard Enterprise Development LP
  • Cloudera, Inc.
  • Qubole Inc.
  • Ataccma
  • Gemini Trust Company, LLC.
  • Denodo Technologies

第 21 章免责声明

简介目录
Product Code: UMAU211774

An automated data platform is a system that uses software and other technologies to streamline and automate the process of collecting, processing, analyzing, and managing data. It can be designed to handle large volumes of data from different sources and formats, and use artificial intelligence and machine learning algorithms to extract insights and generate reports automatically. An automated data platform can help organizations save time and resources, reduce errors and increase efficiency in data management and analysis.

The Automated Data Platform Market is expected to grow at a strong CAGR of 21.6% during the forecast period owing to the increasing implementation of cognitive computing and advanced analytic technology. Moreover, the increasing growth of digitization and automation across industries, the increasing demand for real-time information, and the arrival of cutting-edge technologies such as Machine Learning (ML) and Artificial Intelligence (AI) are such factors that are driving the growth of the market. Moreover, the companies are adopting strategies like investments , merge and acquisitions to help the market grow and expand the business opportunities. For instance, In May 2022, Oracle and Informatica, a company that offers cloud-based tools for managing corporate data, joined forces to provide top-of-the-line cloud information management, connectivity, and regulatory solutions, as well as databases, database servers, big data solutions, data lake houses, business analytics, and data science tools.

Based on component, the market is segmented into services that are subsegmented into platform, , advisory, integration, support, and maintenance. Amongst these, the platform segment held significant market share in 2021, owing to the increase in growth of technical developments, such as the growth of digital and cloud-based platforms, as well as an increase in the demand for analytics, which is predicted to increase the segment's expansion.

On the basis of deployment, the market is bifurcated into on-premise and cloud deployment. The cloud segment holds the higher growth in the market and is expected to growth with a significant CAGR over the forecast period. The flexibility and cost-effectiveness of cloud-based , virtual environment enables enterprises to access information across interconnected devices at any time, and the implementation of cloud-based solutions boosts the simplicity of delivery of services which are the major factors driving the growth of the segment. Moreover, there is large increase in the spending for cloud deployments products. For instance, According to the International Data Corporation (IDC) Worldwide Quarterly Enterprise Infrastructure Tracker: Buyer and Cloud Deployment, spending on compute and storage infrastructure products for cloud deployments, including dedicated and shared environments, increased 17.2% year over year in the first quarter of 2022 (1Q22) to $18.3 billion.

Based on organization size, the market is segmented into small & medium enterprises and large enterprises. Among these, the large enterprise's platform segment will lead in the forecast period. This is because small & medium enterprises prefer manual power over automated data platforms. Whereas large enterprises deal with a huge amount of structured and unstructured data, therefore, they are largely dependent on data automation. Furthermore, automated data platforms provide long-term sustainability of data programs.

Based on industries, the market is segmented into BSFI, healthcare, retail, government and others. Among these BFSI held a considerable share of the market in 2021. The autonomous data infrastructure has been substantially embraced by the BFSI industry. In order to provide customized one-on-one client encounters, businesses use analytics technologies to extract information. Which helps them to drive the growth of the segment.

For a better understanding of the market adoption of the automated data platform industry, the market is analyzed based on its worldwide presence in the countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, UK, France, Italy, Spain, Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, and Rest of Asia-Pacific), Rest of World. North America had the greatest revenue share. The region is thought to be the most advanced region in terms of adopting the newest technology and cloud-based solutions because it is home to most developed economies, including the United States and Canada. The extensive use of mobile phones and the internet in North America is fueling a huge market boom.

Some of the major players operating in the market include: Oracle; Amazon Web Services, Inc ; Teradata; IBM; Hewlett Packard Enterprise Development LP; Cloudera, Inc.; Qubole Inc.; Ataccma; Gemini Trust Company, LLC.; Denodo Technologies

TABLE OF CONTENTS

1 MARKET INTRODUCTION

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2 RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the Automated Data Platform Market
  • 2.2. Research Methodology of the Automated Data Platform Market
  • 2.3. Respondent Profile

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 GLOBAL AUTOMATED DATA PLATFORM MARKET COVID-19 IMPACT

6 GLOBAL AUTOMATED DATA PLATFORM MARKET REVENUE, 2020-2028F

7 MARKET INSIGHTS BY COMPONENT

  • 7.1. Services
    • 7.1.1. Platform
    • 7.1.2. Advisory
    • 7.1.3. Integration
    • 7.1.4. Support & Maintenance

8 MARKET INSIGHTS BY DEPLOYMENT

  • 8.1. On-Premise
  • 8.2. Cloud

9 MARKET INSIGHTS BY ORGANISATION SIZE

  • 9.1. Small & Medium Enterprise
  • 9.2. Large Enterprise

10 MARKET INSIGHTS BY INDUSTRIES

  • 10.1. BSFI
  • 10.2. Healthcare
  • 10.3. Retail
  • 10.4. Government
  • 10.5. Others

11 MARKET INSIGHTS BY REGION

  • 11.1. North America Automated Data Platform Market
    • 11.1.1. U.S.
    • 11.1.2. Canada
    • 11.1.3. Rest of North America
  • 11.2. Europe Automated Data Platform Market
    • 11.2.1. Germany
    • 11.2.2. UK
    • 11.2.3. France
    • 11.2.4. Italy
    • 11.2.5. Spain
    • 11.2.6. Rest of Europe
  • 11.3. Asia-Pacific Automated Data Platform Market
    • 11.3.1. China
    • 11.3.2. Japan
    • 11.3.3. India
    • 11.3.4. Rest of APAC
  • 11.4. Rest of the World Automated Data Platform Market

12 AUTOMATED DATA PLATFORM MARKET DYNAMICS

  • 12.1. Market Drivers
  • 12.2. Market Challenges
  • 12.3. Impact Analysis

13 AUTOMATED DATA PLATFORM MARKET OPPORTUNITIES

14 AUTOMATED DATA PLATFORM MARKET TRENDS

15 DEMAND AND SUPPLY-SIDE ANALYSIS

  • 15.1. Demand Side Analysis
  • 15.2. Supply Side Analysis

16 VALUE CHAIN ANALYSIS

17 PRICING ANALYSIS

18 STRATEGIC INSIGHTS

19 COMPETITIVE SCENARIO

  • 19.1. Competitive Landscape
    • 19.1.1. Porters Fiver Forces Analysis

20 COMPANY PROFILED

  • 20.1. Oracle
  • 20.2. Amazon Web Services, Inc
  • 20.3. Teradata
  • 20.4. IBM
  • 20.5. Hewlett Packard Enterprise Development LP
  • 20.6. Cloudera, Inc.
  • 20.7. Qubole Inc.
  • 20.8. Ataccma
  • 20.9. Gemini Trust Company, LLC.
  • 20.10. Denodo Technologies

21 DISCLAIMER