Global Autonomous Data Platform Market is valued at approximately USD 1209.56 million in 2021 and is anticipated to grow with a healthy growth rate of more than 22.2% over the forecast period 2022-2029. The autonomous data tool is used to analyze a specific customer's big data infrastructure to address critical problems of an organization and ensure optimal database usage. This platform supports businesses to advance and improve their data management abilities. The growing trend of industrial automation, increasing penetration of cognitive computing technology and advanced analytics, and rising digitalization are the primary factors that are propelling market growth across the globe.
According to Statista, the industrial automation market was estimated to value around USD 175 billion in 2020, which is expected to grow to USD 265 billion by 2025. Therefore, the rising inclination towards industrial automation is stipulating the market demand in the global market. The surging demand for real-time information, as well as the high adoption of Artificial Intelligence (AI) and Machine Learning (ML), are leveraging the market growth in the forecasting years. However, complex analytical processes and data privacy laws and compliance are hindering market growth throughout the forecast period of 2022-2029.
The key regions considered for the Global Autonomous Data Platform Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America dominated the market in terms of revenue, owing to the rising investment in the latest technologies and the high adoption of cloud-based solutions. Whereas, the Asia Pacific is expected to grow with the highest growth rate during the forecast period. Factors such as increasing use of smartphones and digital networking sites, growing demand for AI and machine learning as well as rising need for demand for autonomous data platforms are burgeoning the market growth in the forecasting years.
Major market players included in this report are:
Oracle Corporation
Teradata
IBM
Amazon Web Services, Inc.
Hewlett Packard Enterprise Development LP
Qubole, Inc.
Cloudera, Inc.
Gemini Data
Denodo Technologies
Alteryx, Inc.
Recent Developments in the Market:
- In May 2022, Oracle entered into a partnership agreement with Informatica to provide databases, big data, database servers, data lake houses, business analytics, and data science with leading cloud information management, connectivity, and regulatory solutions.
- In June 2019, Qubole announced the launch of a self-service platform for engineers and data scientists to create their AI, machine learning, and analytics workflows for the public according to their choice.
- In April 2019, MapR declared the introduction of innovations in the MapR Data Platform that boost the platform with a new, deep corporation with Kubernetes core components for primary workloads on Spark and Drill. This development allows the platform to improve and manage highly elastic workloads.
Global Autonomous Data Platform Market Report Scope:
Historical Data: 2019-2020-2021
Base Year for Estimation: 2021
Forecast period: 2022-2029
Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered: Component, Services, Deployment, End-User, Region
Regional Scope: North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
Platform
Services
By Services:
Advisory
Integration
Support and Maintenance
By Deployment:
Cloud
On-premise
By End-User:
BFSI
Healthcare
Retail
IT & Telecom
Others
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
ROLA
Rest of the World
Table of Contents
Chapter 1. Executive Summary
- 1.1. Market Snapshot
- 1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Million)
- 1.2.1. Autonomous Data Platform Market, by Region, 2019-2029 (USD Million)
- 1.2.2. Autonomous Data Platform Market, by Component, 2019-2029 (USD Million)
- 1.2.3. Autonomous Data Platform Market, by Services, 2019-2029 (USD Million)
- 1.2.4. Autonomous Data Platform Market, by Deployment, 2019-2029 (USD Million)
- 1.2.5. Autonomous Data Platform Market, by End-User, 2019-2029 (USD Million)
- 1.3. Key Trends
- 1.4. Estimation Methodology
- 1.5. Research Assumption
Chapter 2. Global Autonomous Data Platform Market Definition and Scope
- 2.1. Objective of the Study
- 2.2. Market Definition & Scope
- 2.2.1. Scope of the Study
- 2.2.2. Industry Evolution
- 2.3. Years Considered for the Study
- 2.4. Currency Conversion Rates
Chapter 3. Global Autonomous Data Platform Market Dynamics
- 3.1. Autonomous Data Platform Market Impact Analysis (2019-2029)
- 3.1.1. Market Drivers
- 3.1.1.1. Growing trend of industry automation
- 3.1.1.2. Increasing penetration of cognitive computing technology and advanced analytics
- 3.1.2. Market Challenges
- 3.1.2.1. Complex analytical process
- 3.1.2.2. Data privacy laws and compliance
- 3.1.3. Market Opportunities
- 3.1.3.1. Surging demand for real-time information
- 3.1.3.2. High adoption of Artificial Intelligence (AI) and Machine Learning (ML)
Chapter 4. Global Autonomous Data Platform Market Industry Analysis
- 4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.2. Futuristic Approach to Porter's 5 Force Model (2019-2029)
- 4.3. PEST Analysis
- 4.3.1. Political
- 4.3.2. Economical
- 4.3.3. Social
- 4.3.4. Technological
- 4.4. Top investment opportunity
- 4.5. Top winning strategies
- 4.6. Industry Experts Prospective
- 4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
- 5.1. Assessment of the overall impact of COVID-19 on the industry
- 5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Autonomous Data Platform Market, by Component
- 6.1. Market Snapshot
- 6.2. Global Autonomous Data Platform Market by Component, Performance - Potential Analysis
- 6.3. Global Autonomous Data Platform Market Estimates & Forecasts by Component 2019-2029 (USD Million)
- 6.4. Autonomous Data Platform Market, Sub Segment Analysis
- 6.4.1. Platform
- 6.4.2. Services
Chapter 7. Global Autonomous Data Platform Market, by Services
- 7.1. Market Snapshot
- 7.2. Global Autonomous Data Platform Market by Services, Performance - Potential Analysis
- 7.3. Global Autonomous Data Platform Market Estimates & Forecasts by Services 2019-2029 (USD Million)
- 7.4. Autonomous Data Platform Market, Sub Segment Analysis
- 7.4.1. Advisory
- 7.4.2. Integration
- 7.4.3. Support and Maintenance
Chapter 8. Global Autonomous Data Platform Market, by Deployment
- 8.1. Market Snapshot
- 8.2. Global Autonomous Data Platform Market by Deployment, Performance - Potential Analysis
- 8.3. Global Autonomous Data Platform Market Estimates & Forecasts by Deployment 2019-2029 (USD Million)
- 8.4. Autonomous Data Platform Market, Sub Segment Analysis
- 8.4.1. Cloud
- 8.4.2. On-premise
Chapter 9. Global Autonomous Data Platform Market, by End-User
- 9.1. Market Snapshot
- 9.2. Global Autonomous Data Platform Market by End-User, Performance - Potential Analysis
- 9.3. Global Autonomous Data Platform Market Estimates & Forecasts by End-User 2019-2029 (USD Million)
- 9.4. Autonomous Data Platform Market, Sub Segment Analysis
- 9.4.1. BFSI
- 9.4.2. Healthcare
- 9.4.3. Retail
- 9.4.4. IT & Telecom
- 9.4.5. Others
Chapter 10. Global Autonomous Data Platform Market, Regional Analysis
- 10.1. Autonomous Data Platform Market, Regional Market Snapshot
- 10.2. North America Autonomous Data Platform Market
- 10.2.1. U.S. Autonomous Data Platform Market
- 10.2.1.1. Component breakdown estimates & forecasts, 2019-2029
- 10.2.1.2. Services breakdown estimates & forecasts, 2019-2029
- 10.2.1.3. Deployment breakdown estimates & forecasts, 2019-2029
- 10.2.1.4. End-User breakdown estimates & forecasts, 2019-2029
- 10.2.2. Canada Autonomous Data Platform Market
- 10.3. Europe Autonomous Data Platform Market Snapshot
- 10.3.1. U.K. Autonomous Data Platform Market
- 10.3.2. Germany Autonomous Data Platform Market
- 10.3.3. France Autonomous Data Platform Market
- 10.3.4. Spain Autonomous Data Platform Market
- 10.3.5. Italy Autonomous Data Platform Market
- 10.3.6. Rest of Europe Autonomous Data Platform Market
- 10.4. Asia-Pacific Autonomous Data Platform Market Snapshot
- 10.4.1. China Autonomous Data Platform Market
- 10.4.2. India Autonomous Data Platform Market
- 10.4.3. Japan Autonomous Data Platform Market
- 10.4.4. Australia Autonomous Data Platform Market
- 10.4.5. South Korea Autonomous Data Platform Market
- 10.4.6. Rest of Asia Pacific Autonomous Data Platform Market
- 10.5. Latin America Autonomous Data Platform Market Snapshot
- 10.5.1. Brazil Autonomous Data Platform Market
- 10.5.2. Mexico Autonomous Data Platform Market
- 10.5.3. Rest of Latin America Autonomous Data Platform Market
- 10.6. Rest of The World Autonomous Data Platform Market
Chapter 11. Competitive Intelligence
- 11.1. Top Market Strategies
- 11.2. Company Profiles
- 11.2.1. Oracle Corporation
- 11.2.1.1. Key Information
- 11.2.1.2. Overview
- 11.2.1.3. Financial (Subject to Data Availability)
- 11.2.1.4. Product Summary
- 11.2.1.5. Recent Developments
- 11.2.2. Teradata
- 11.2.3. IBM
- 11.2.4. Amazon Web Services, Inc.
- 11.2.5. Hewlett Packard Enterprise Development LP
- 11.2.6. Qubole, Inc.
- 11.2.7. Cloudera, Inc.
- 11.2.8. Gemini Data
- 11.2.9. Denodo Technologies
- 11.2.10. Alteryx, Inc.
Chapter 12. Research Process
- 12.1. Research Process
- 12.1.1. Data Mining
- 12.1.2. Analysis
- 12.1.3. Market Estimation
- 12.1.4. Validation
- 12.1.5. Publishing
- 12.2. Research Attributes
- 12.3. Research Assumption