首頁 > 市場調查報告書 > 通訊

人工智能

市場調查報告書

商品編碼

1272665

自動化數據平台市場：現狀分析與預測（2022-2030）

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

出版日期: 2023年04月01日 | 出版商:

UnivDatos Market Insights Pvt Ltd | 英文 163 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

由於認知計算和高級分析技術的日益普及，自動化數據平台市場預計在預測期內將以 21.6% 的複合年增長率增長。此外，工業界數位化和自動化的進步、對實時資訊不斷增長的需求以及機器學習（ML）和人工智能（AI）等尖端技術的出現都是推動增長的因素市場。此外，企業正在採取投資、併購等策略來幫助市場增長並擴大商機。例如，2022 年 5 月，Oracle 和企業數據管理雲端工具提供商 Informatica 將加入數據庫、數據庫服務器、大數據解決方案、數據湖站、業務分析和數據科學工具以及頂級合作提供雲資訊管理、連接和監管解決方案。

根據組件，市場分為平台、諮詢、集成、支持和維護等服務。其中，由於數位和雲平台的增長等技術發展的不斷進步以及對分析的需求不斷增加，平台細分市場預計將繼續擴大，並在 2021 年佔據較大的市場份額。

根據部署，市場分為本地部署和雲端部署。雲市場在市場上保持高增長率，預計在預測期內將以顯著的複合年增長率增長。基於雲的虛擬環境靈活且經濟高效，允許企業隨時從任何互連設備訪問資訊。此外，引入基於雲的解決方案所驅動的服務交付的簡化是推動該細分市場增長的主要因素。此外，雲端產品的支出也大幅增加。例如，根據國際數據公司 (IDC) 全球季度企業基礎設施追蹤報告：買家和雲端部署，2022 年第一季度 (1Q22) 用於雲端部署的計算和存儲基礎設施產品（包括專用和共享環境）的支出將為183億美元，同比增長17.2%。

根據組織規模，市場分為中小企業和大型企業。其中，大型企業的平台部門將在預測期內處於領先地位。這是因為小型企業更喜歡手動而不是自動化數據平台。另一方面，大型企業在處理大量結構化和非結構化數據時嚴重依賴數據自動化。此外，自動化數據平台提供數據程序的長期持久性。

按行業劃分，市場分為 BSFI、醫療保健、零售、政府和其他。其中，BFSI 在 2021 年佔據了相當大的市場份額。自主數據基礎設施已受到 BFSI 行業的大力歡迎。為了提供定制的一對一客戶體驗，公司正在使用分析技術來提取信息。這有助於推動該細分市場的增長。

為了更好地了解自動化數據平台行業的市場採用情況，市場包括北美（美國、加拿大、北美其他地區）、歐洲（德國、英國、法國、意大利、西班牙、歐洲其他地區）、亞太地區（中國）。、日本、印度、韓國和亞太地區其他地區）以及世界其他地區。北美地區佔銷售額的最大份額。與美國和加拿大等新興經濟體一樣，該地區被認為是採用現代技術和基於雲的解決方案最先進的地區。在北美，手機和互聯網的普及導致了市場的大幅繁榮。

內容

第 1 章市場介紹

市場定義
主要目的
利益相關者
限制

第 2 章研究方法或假設

研究過程
調查方法
受訪者簡介

第 3 章市場總結

第 4 章執行摘要

第 5 章 COVID-19 對全球自動化數據平台市場的影響

第 6 章 2020-2028 年全球自動化數據平台市場收入

第 7 章市場洞察：按組成部分

服務
- 平台
- 諮詢
- 整合
- 支持和維護

第 8 章市場洞察：按部署

本地
雲端

第 9 章市場洞察：按組織規模

中小企業
大企業

第 10 章市場洞察：按行業

BSFI
醫療保健
零售
政府
其他

第 11 章市場洞察：按地區

北美自動化數據平台市場
- 美國
- 加拿大
- 其他北美地區
歐洲的自動化數據平台市場
- 德國
- 英國
- 法國
- 意大利
- 西班牙
- 其他歐洲地區
亞太地區自動化數據平台市場
- 中國
- 日本
- 印度
- 亞太地區的其他國家/地區
其他地區的自動化數據平台市場

第 12 章自動化數據平台市場動態

市場促進因素
市場挑戰
影響分析

第 13 章自動化數據平台市場機會

第 14 章自動化數據平台市場趨勢

第 15 章需求側與供給側分析

需求方分析
供應方分析

第 16 章價值鏈分析

第 17 章價格分析

第 18 章戰略見解

第 19 章衝突場景

競爭格局
- 波特五力分析

第 20 章公司簡介

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 章免責聲明

簡介目錄

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

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