autonomous data platform market size was estimated at US$ 1.36 billion in 2022 it is predicted to grow at a CAGR of 23.02% from 2023 to 2032 to reach around US$ 10.83 billion by the end of 2032.
The autonomous data platform market report offers an exclusive study of the present state expected at the market dynamics, opportunities, market scheme, growth analysis and regional outlook. The report presents energetic visions to conclude and study the market size, market aspiration, and competitive environment. The research also focuses on the important achievements of the market, research & development, and regional (country by country) growth of the leading vendors operating in the market
The study offers intricate dynamics about different aspects of the global autonomous data platform market, which aids companies operating in the market in making strategies development decisions. The study also elaborates on remarkable changes that are highly anticipated to configure growth of the global autonomous data platform market during the forecast period. It also includes a key indicator analysis that highlights growth prospects of this market and approximate statistics related to growth of the market in terms of value (US$ Bn) and volume (tons).
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Report Scope of the Autonomous Data Platform Market
| Report Coverage | Details |
| Market Size in 2022 | USD 1.36 billion |
| Revenue Forecast by 2032 | USD 10.83 billion |
| Growth rate from 2023 to 2032 | CAGR of 23.02% |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Regions Covered | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
| Companies Covered | Oracle Corporation; Teradata; IBM; Amazon Web Services, Inc.; Hewlett Packard Enterprise Development LP; Qubole, Inc.; Cloudera, Inc.; Gemini Data; Denodo Technologies; Alteryx, Inc. |
This study covers an elaborate segmentation of the global autonomous data platform market, along with important information and a competition outlook. The report mentions company profiles of players that are currently influence the global autonomous data platform market, wherein various developments, expansions, and winning strategies practiced and execute by leading players have been presented in detail.
Autonomous Data Platform Market Segmentations:
| By Component | By Services | By Deployment | By Enterprise | By End-use |
| Platform
Services |
Advisory
Integration Support & Maintenance |
On-premises
Cloud |
Large Enterprise
Small and Medium Enterprise (SME) |
BFSI
Healthcare Retail Manufacturing IT and Telecom Government Others (Travel & Hospitality, Transportation & Logistics, and Energy & Utilities) |
Research Methodology
The research methodology acquire by analysts for assemble the global autonomous data platform market 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 study numerous annual report declaration, white papers, market association declaration, and company websites to obtain the necessary understanding of the global autonomous 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
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 Autonomous Data Platform Market
5.1. COVID-19 Landscape: Autonomous 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 Autonomous Data Platform Market, By Component
8.1. Autonomous 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 Autonomous Data Platform Market, By Services
9.1. Autonomous 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 Autonomous Data Platform Market, By Deployment
10.1. Autonomous 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 Autonomous Data Platform Market, By Enterprise
11.1. Autonomous Data Platform Market, by Enterprise, 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 Autonomous Data Platform Market, By End-use
12.1. Autonomous 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 Autonomous 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 (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 (2020-2032)
13.1.7. Market Revenue and Forecast, by End-use (2020-2032)
13.1.8. Rest of North America
13.1.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.1.8.2. Market Revenue and Forecast, by Services (2020-2032)
13.1.8.3. Market Revenue and Forecast, by Deployment (2020-2032)
13.1.8.4. Market Revenue and Forecast, by Enterprise (2020-2032)
13.1.8.5. 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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (2020-2032)
13.5.8.5. Market Revenue and Forecast, by End-use (2020-2032)
Chapter 14. Company Profiles
14.1. Oracle Corporation
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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