Automated Data Platform Market Size, Share, and Trends 2026 to 2035

Automated Data Platform Market (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)) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 13 Jan 2026  |  Report Code : 2669  |  Category : ICT   |  Format : PDF / PPT / Excel

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

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

8.1.1. Platform

8.1.1.1. Market Revenue and Forecast

8.1.2. Services

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global Automated Data Platform Market, By Services

9.1. Automated Data Platform Market, by Services

9.1.1. Advisory

9.1.1.1. Market Revenue and Forecast

9.1.2. Integration

9.1.2.1. Market Revenue and Forecast

9.1.3. Support & Maintenance

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global Automated Data Platform Market, By Deployment 

10.1. Automated Data Platform Market, by Deployment

10.1.1. On-premises

10.1.1.1. Market Revenue and Forecast

10.1.2. Cloud

10.1.2.1. Market Revenue and Forecast

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

11.1. Automated Data Platform Market, by Enterprise Size

11.1.1. Large Enterprise

11.1.1.1. Market Revenue and Forecast

11.1.2. Small and Medium Enterprise (SME)

11.1.2.1. Market Revenue and Forecast

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

12.1. Automated Data Platform Market, by End-Use

12.1.1. BFSI

12.1.1.1. Market Revenue and Forecast

12.1.2. Healthcare

12.1.2.1. Market Revenue and Forecast

12.1.3. Retail

12.1.3.1. Market Revenue and Forecast

12.1.4. Manufacturing

12.1.4.1. Market Revenue and Forecast

12.1.5. IT and Telecom

12.1.5.1. Market Revenue and Forecast

12.1.6. Government

12.1.6.1. Market Revenue and Forecast

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

12.1.7.1. Market Revenue and Forecast

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

13.1.2. Market Revenue and Forecast, by Services

13.1.3. Market Revenue and Forecast, by Deployment

13.1.4. Market Revenue and Forecast, by Enterprise Size

13.1.5. Market Revenue and Forecast, by End-Use

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Component

13.1.6.2. Market Revenue and Forecast, by Services

13.1.6.3. Market Revenue and Forecast, by Deployment

13.1.6.4. Market Revenue and Forecast, by Enterprise Size

13.1.6.5. Market Revenue and Forecast, by End-Use  

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Component

13.1.7.2. Market Revenue and Forecast, by Services

13.1.7.3. Market Revenue and Forecast, by Deployment

13.1.7.4. Market Revenue and Forecast, by Enterprise Size

13.1.7.5. Market Revenue and Forecast, by End-Use

13.2. Europe

13.2.1. Market Revenue and Forecast, by Component

13.2.2. Market Revenue and Forecast, by Services

13.2.3. Market Revenue and Forecast, by Deployment

13.2.4. Market Revenue and Forecast, by Enterprise Size  

13.2.5. Market Revenue and Forecast, by End-Use  

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Component

13.2.6.2. Market Revenue and Forecast, by Services

13.2.6.3. Market Revenue and Forecast, by Deployment

13.2.7. Market Revenue and Forecast, by Enterprise Size  

13.2.8. Market Revenue and Forecast, by End-Use  

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Component

13.2.9.2. Market Revenue and Forecast, by Services

13.2.9.3. Market Revenue and Forecast, by Deployment

13.2.10. Market Revenue and Forecast, by Enterprise Size

13.2.11. Market Revenue and Forecast, by End-Use

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Component

13.2.12.2. Market Revenue and Forecast, by Services

13.2.12.3. Market Revenue and Forecast, by Deployment

13.2.12.4. Market Revenue and Forecast, by Enterprise Size

13.2.13. Market Revenue and Forecast, by End-Use

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Component

13.2.14.2. Market Revenue and Forecast, by Services

13.2.14.3. Market Revenue and Forecast, by Deployment

13.2.14.4. Market Revenue and Forecast, by Enterprise Size

13.2.15. Market Revenue and Forecast, by End-Use

13.3. APAC

13.3.1. Market Revenue and Forecast, by Component

13.3.2. Market Revenue and Forecast, by Services

13.3.3. Market Revenue and Forecast, by Deployment

13.3.4. Market Revenue and Forecast, by Enterprise Size

13.3.5. Market Revenue and Forecast, by End-Use

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Component

13.3.6.2. Market Revenue and Forecast, by Services

13.3.6.3. Market Revenue and Forecast, by Deployment

13.3.6.4. Market Revenue and Forecast, by Enterprise Size

13.3.7. Market Revenue and Forecast, by End-Use

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Component

13.3.8.2. Market Revenue and Forecast, by Services

13.3.8.3. Market Revenue and Forecast, by Deployment

13.3.8.4. Market Revenue and Forecast, by Enterprise Size

13.3.9. Market Revenue and Forecast, by End-Use

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Component

13.3.10.2. Market Revenue and Forecast, by Services

13.3.10.3. Market Revenue and Forecast, by Deployment

13.3.10.4. Market Revenue and Forecast, by Enterprise Size

13.3.10.5. Market Revenue and Forecast, by End-Use

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Component

13.3.11.2. Market Revenue and Forecast, by Services

13.3.11.3. Market Revenue and Forecast, by Deployment

13.3.11.4. Market Revenue and Forecast, by Enterprise Size

13.3.11.5. Market Revenue and Forecast, by End-Use

13.4. MEA

13.4.1. Market Revenue and Forecast, by Component

13.4.2. Market Revenue and Forecast, by Services

13.4.3. Market Revenue and Forecast, by Deployment

13.4.4. Market Revenue and Forecast, by Enterprise Size

13.4.5. Market Revenue and Forecast, by End-Use

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Component

13.4.6.2. Market Revenue and Forecast, by Services

13.4.6.3. Market Revenue and Forecast, by Deployment

13.4.6.4. Market Revenue and Forecast, by Enterprise Size

13.4.7. Market Revenue and Forecast, by End-Use

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Component

13.4.8.2. Market Revenue and Forecast, by Services

13.4.8.3. Market Revenue and Forecast, by Deployment

13.4.8.4. Market Revenue and Forecast, by Enterprise Size

13.4.9. Market Revenue and Forecast, by End-Use

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Component

13.4.10.2. Market Revenue and Forecast, by Services

13.4.10.3. Market Revenue and Forecast, by Deployment

13.4.10.4. Market Revenue and Forecast, by Enterprise Size

13.4.10.5. Market Revenue and Forecast, by End-Use

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Component

13.4.11.2. Market Revenue and Forecast, by Services

13.4.11.3. Market Revenue and Forecast, by Deployment

13.4.11.4. Market Revenue and Forecast, by Enterprise Size

13.4.11.5. Market Revenue and Forecast, by End-Use

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Component

13.5.2. Market Revenue and Forecast, by Services

13.5.3. Market Revenue and Forecast, by Deployment

13.5.4. Market Revenue and Forecast, by Enterprise Size

13.5.5. Market Revenue and Forecast, by End-Use

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Component

13.5.6.2. Market Revenue and Forecast, by Services

13.5.6.3. Market Revenue and Forecast, by Deployment

13.5.6.4. Market Revenue and Forecast, by Enterprise Size

13.5.7. Market Revenue and Forecast, by End-Use

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Component

13.5.8.2. Market Revenue and Forecast, by Services

13.5.8.3. Market Revenue and Forecast, by Deployment

13.5.8.4. Market Revenue and Forecast, by Enterprise Size

13.5.8.5. Market Revenue and Forecast, by End-Use

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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Frequently Asked Questions

Answer : The global automated data platform market size was accounted at USD 2.20 billion in 2025 and it is expected to reach around USD 12.16 billion by 2035.

Answer : The global automated data platform market is poised to grow at a CAGR of 18.65% from 2026 to 2035.

Answer : The major players operating in the automated data platform market are Oracle, Teradata, IBM, Amazon Web Services, Inc., Hewlett Packard Enterprise Development LP, Qubole, Inc., Cloudera, Inc., Gemini Data, Denodo Technologies, Alteryx, Inc. and Others.

Answer : The driving factors of the automated data platform market are the artificial intelligence and cloud computing are developing quickly, growing use of sophisticated analytics and intelligent computing technologies and increase in the quantity of unstructured data.

Answer : North America region will lead the global automated data platform market during the forecast period 2026 to 2035.

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