Autonomous Data Platform Market Size, Share | Report 2023-2032
The global autonomous data platform market was valued at USD 1.36 billion in 2022 and it is predicted to surpass around USD 10.83 billion by 2032 with a CAGR of 23.02% from 2023 to 2032.
Key Pointers
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. |
The growing digitization and automation across industries, the rise in demand for real-time information, and the emergence of cutting-edge technologies such as Machine Learning (ML) and Artificial Intelligence (AI) are expected to contribute significantly to the industry expansion. The market has been affected by the COVID-19 pandemic and thus the growth is likely to be impacted during post-pandemic period.
This is attributable to the increased rate of transmission of COVID-19 from across the world and work-from-home strategies employed by corporations to safeguard their workforce from viral disease. Thus, many enterprises have made significant investments to expedite and drive-up efficiency across entire company activities in autonomous data platform solutions. These factors are contributing to the rapid growth of the autonomous data platform market.
Due to the developing trends of cloud platforms in new business organizations and retention of enterprise data primarily in the hybrid & public clouds, the applicability of autonomous data platforms in cloud-based businesses is continuously increasing which will offer growth opportunities over the forecast period.
An autonomous data platform provides exceptional flexibility, enabling companies to adjust capacity on convenience and needs. Additionally, compared to traditional enterprise database solutions, autonomous data platforms offer a variety of ways to evaluate, distribute, and incorporate critical data more quickly and safely. Thus, businesses can expand and enhance their data management skills. These are the factors that are expected to drive industry growth.
The industry is expected to grow due to the increased implementation of cognitive computing and advanced analytic technology. A significant amount of unstructured information is being generated by several businesses as a result of the rapid expansion of social media and associated devices. The need for autonomous database platforms from small and medium-sized businesses is anticipated to increase due to this rising volume of data.
Data can be encrypted, workloads can be tracked, and any entity attempting to access the data is watched by the autonomous data platforms.Using an autonomous data platform, any entity can investigate the big data environment of a specific customer to manage important business concerns and enable the best possible use of the database.
The automation within autonomous databases reduces the human installation and processing of data, giving decision-makers valuable insights, sooner. The autonomous data platform employs machine learning to assure that it is constantly operating smoothly, according to the manner that corporate decision-makers want it to work. For instance, while the system is in use, machine learning can automatically and continually patch, upgrade, adjust, and back up the system with little to no operator interaction. Automation lessens the probability that human hostile or negligent activity may compromise database security or operations.
The demands of businesses have increased as a result of the rising technological advancements. These businesses frequently upgrade their cloud-based solutions for clients to meet the needs of gathering, analyzing, and sorting their customers' data. The autonomous cloud uses DevOps methods, AI, ML, and advanced automation for native cloud environments to achieve automated operations and continuous software delivery pipelines.
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) |
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
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers