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Automated Data Platform Market Size, Growth, Demands Outlook and Forecasts to 2032

Precedence Research - March 08, 2023

According to the research report, the global automated data platform market size is expected to touch USD 7.5 Billion by 2032, from USD 1.3 Billion in 2022, growing with a significant CAGR of 19.15% from 2023 to 2032. 

Automated Data Platform Market Size 2023 To 2032

The automated data platform report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global automated data platform in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global automated data platform market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global automated data platform during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link @ https://www.precedenceresearch.com/sample/2669

 Report Scope of the Automated Data Platform Market

Report CoverageDetails
Market Size in 2023USD 1.55 Billion
Market Size by 2032USD 7.5 Billion
Growth Rate from 2023 to 2032CAGR of 19.15%
Largest MarketNorth America
Base Year2022
Forecast Period2023 to 2032
Segments CoveredBy Component, By Services, By Deployment, By Enterprise Size and By End-Use

This study covers a detailed segmentation of the global automated data platform market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global automated data platform market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

Key Players

  • Oracle
  • Teradata
  • IBM
  • Amazon Web Services, Inc.
  • Hewlett Packard Enterprise Development LP
  • Qubole, Inc.
  • Cloudera, Inc.
  • Gemini Data
  • Denodo Technologies
  • Alteryx, Inc.

Market Segmentation

 By Component

  • Platform
  • Services

By Services

  • Advisory
  • Integration
  • Support & Maintenance

By Deployment

  • On-premises
  • Cloud

By Enterprise Size

  • Large Enterprise
  • Small and Medium Enterprise (SME)

By End-Use

  • BFSI
  • Healthcare
  • Retail
  • Manufacturing
  • IT and Telecom
  • Government  
  • Others (Travel & Hospitality, Transportation & Logistics, and Energy & Utilities)

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • The Middle East and Africa

Research Methodology

The research methodology adopted by analysts for compiling the global automated data platform report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global automated data platform market.

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Automated Data Platform Market 

5.1. COVID-19 Landscape: Automated Data Platform Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Automated Data Platform Market, By Component

8.1. Automated Data Platform Market, by Component, 2023-2032

8.1.1. Platform

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Services

8.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Automated Data Platform Market, By Services

9.1. Automated Data Platform Market, by Services, 2023-2032

9.1.1. Advisory

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Integration

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Support & Maintenance

9.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Automated Data Platform Market, By Deployment 

10.1. Automated Data Platform Market, by Deployment, 2023-2032

10.1.1. On-premises

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Cloud

10.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Automated Data Platform Market, By Enterprise Size

11.1. Automated Data Platform Market, by Enterprise Size, 2023-2032

11.1.1. Large Enterprise

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. Small and Medium Enterprise (SME)

11.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global Automated Data Platform Market, By End-Use

12.1. Automated Data Platform Market, by End-Use, 2023-2032

12.1.1. BFSI

12.1.1.1. Market Revenue and Forecast (2020-2032)

12.1.2. Healthcare

12.1.2.1. Market Revenue and Forecast (2020-2032)

12.1.3. Retail

12.1.3.1. Market Revenue and Forecast (2020-2032)

12.1.4. Manufacturing

12.1.4.1. Market Revenue and Forecast (2020-2032)

12.1.5. IT and Telecom

12.1.5.1. Market Revenue and Forecast (2020-2032)

12.1.6. Government

12.1.6.1. Market Revenue and Forecast (2020-2032)

12.1.7. Others (Travel & Hospitality, Transportation & Logistics, and Energy & Utilities)

12.1.7.1. Market Revenue and Forecast (2020-2032)

Chapter 13. Global Automated Data Platform Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Component (2020-2032)

13.1.2. Market Revenue and Forecast, by Services (2020-2032)

13.1.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.1.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.1.5. Market Revenue and Forecast, by End-Use (2020-2032)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.1.6.2. Market Revenue and Forecast, by Services (2020-2032)

13.1.6.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.1.6.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.1.6.5. Market Revenue and Forecast, by End-Use (2020-2032) 

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Component (2020-2032)

13.1.7.2. Market Revenue and Forecast, by Services (2020-2032)

13.1.7.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.1.7.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.1.7.5. Market Revenue and Forecast, by End-Use (2020-2032)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.2. Market Revenue and Forecast, by Services (2020-2032)

13.2.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.4. Market Revenue and Forecast, by Enterprise Size (2020-2032) 

13.2.5. Market Revenue and Forecast, by End-Use (2020-2032) 

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.6.2. Market Revenue and Forecast, by Services (2020-2032)

13.2.6.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.7. Market Revenue and Forecast, by Enterprise Size (2020-2032) 

13.2.8. Market Revenue and Forecast, by End-Use (2020-2032) 

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.9.2. Market Revenue and Forecast, by Services (2020-2032)

13.2.9.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.10. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.2.11. Market Revenue and Forecast, by End-Use (2020-2032)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.12.2. Market Revenue and Forecast, by Services (2020-2032)

13.2.12.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.12.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.2.13. Market Revenue and Forecast, by End-Use (2020-2032)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.14.2. Market Revenue and Forecast, by Services (2020-2032)

13.2.14.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.2.14.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.2.15. Market Revenue and Forecast, by End-Use (2020-2032)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.2. Market Revenue and Forecast, by Services (2020-2032)

13.3.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.3.5. Market Revenue and Forecast, by End-Use (2020-2032)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.6.2. Market Revenue and Forecast, by Services (2020-2032)

13.3.6.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.6.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.3.7. Market Revenue and Forecast, by End-Use (2020-2032)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.8.2. Market Revenue and Forecast, by Services (2020-2032)

13.3.8.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.8.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.3.9. Market Revenue and Forecast, by End-Use (2020-2032)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.10.2. Market Revenue and Forecast, by Services (2020-2032)

13.3.10.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.10.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.3.10.5. Market Revenue and Forecast, by End-Use (2020-2032)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.11.2. Market Revenue and Forecast, by Services (2020-2032)

13.3.11.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.3.11.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.3.11.5. Market Revenue and Forecast, by End-Use (2020-2032)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.2. Market Revenue and Forecast, by Services (2020-2032)

13.4.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.4.5. Market Revenue and Forecast, by End-Use (2020-2032)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.6.2. Market Revenue and Forecast, by Services (2020-2032)

13.4.6.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.6.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.4.7. Market Revenue and Forecast, by End-Use (2020-2032)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.8.2. Market Revenue and Forecast, by Services (2020-2032)

13.4.8.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.8.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.4.9. Market Revenue and Forecast, by End-Use (2020-2032)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.10.2. Market Revenue and Forecast, by Services (2020-2032)

13.4.10.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.10.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.4.10.5. Market Revenue and Forecast, by End-Use (2020-2032)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.11.2. Market Revenue and Forecast, by Services (2020-2032)

13.4.11.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.4.11.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.4.11.5. Market Revenue and Forecast, by End-Use (2020-2032)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Component (2020-2032)

13.5.2. Market Revenue and Forecast, by Services (2020-2032)

13.5.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.5.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.5.5. Market Revenue and Forecast, by End-Use (2020-2032)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.5.6.2. Market Revenue and Forecast, by Services (2020-2032)

13.5.6.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.5.6.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.5.7. Market Revenue and Forecast, by End-Use (2020-2032)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.5.8.2. Market Revenue and Forecast, by Services (2020-2032)

13.5.8.3. Market Revenue and Forecast, by Deployment (2020-2032)

13.5.8.4. Market Revenue and Forecast, by Enterprise Size (2020-2032)

13.5.8.5. Market Revenue and Forecast, by End-Use (2020-2032)

Chapter 14. Company Profiles

14.1. Oracle

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Teradata

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. IBM

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Amazon Web Services, Inc.

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Hewlett Packard Enterprise Development LP

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Qubole, Inc.

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Cloudera, Inc.

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Gemini Data

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Denodo Technologies

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Alteryx, Inc.

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

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