The "Autonomous Data Platform Market by Component (Platform and Services), Organization Size (Large Enterprises and Small and Medium-Sized Enterprises), Deployment Type (On-Premises and Cloud), Vertical, and Region - Global Forecast to 2024" report has been added to ResearchAndMarkets.com's offering.
The global autonomous data platform market is expected to grow from USD 810 million in 2019 to USD 2,210 million by 2024, at a Compound Annual Growth Rate (CAGR) of 22.2%
Enterprises generate a huge amount of structured and unstructured data from various sources. To manage this enormous data, various data management tools and platforms are being employed. The rapid adoption of AI, ML, and analytics amongst enterprises has transformed the industry and motivated enterprises to consider new approaches for gaining insight from data.
Enterprises face various challenges while using traditional data management solutions, as these solutions do not support new technologies such as AI and ML. Additionally, traditional solutions are not capable of handling the rapidly evolving types of data at high volumes and velocity. Therefore, enterprises are evaluating ways to evolve their traditional data platforms to meet the changing needs of the business.
To improve the quality of insights generated from the data, they are turning toward advanced data platform providers. Industry trends, such as increasing data volumes, real-time data, new sources and types of data, new deployment models, and the need to perform advanced analytics and ML have also prompted organizations to examine how they can transform their existing data platforms. This has triggered data platform vendors to deploy AI capabilities into their product offerings.
The major drivers for this market include the rising adoption of cognitive computing technology and advanced analytics and increasing volume of complex data. The market also faces challenges, such as lack of skilled workforce and managing data quality and safety.
Key players in the market include
Key Topics Covered:
1 Introduction
2 Research Methodology
3 Executive Summary
4 Premium Insights
4.1 Attractive Opportunities in the Autonomous Data Platform Market
4.2 Market in North America, By Vertical and Country
4.3 Market Major Countries
5 Market Overview
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Rising Adoption of Cognitive Computing Technology and Advanced Analytics
5.2.1.2 Increasing Volume of Unstructured Data Due to the Phenomenal Growth of Interconnected Devices and Social Media
5.2.1.3 Increasing Volume of Complex Data
5.2.2 Restraints
5.2.2.1 Complex Analytical Process
5.2.3 Opportunities
5.2.3.1 Growing Demand From SMEs
5.2.3.2 Increasing Adoption of Cloud Technology
5.2.4 Challenges
5.2.4.1 Managing Data Quality and Safety
5.2.4.2 Lack of Skilled Workforce
5.2.4.3 Data Privacy Laws and Compliance
5.3 Use Cases
5.3.1 Introduction
5.4 Regulatory Implications
5.4.1 Introduction
5.4.2 General Data Protection Regulation (GDPR)
5.4.3 Health Insurance Portability and Accountability Act (HIPAA)
5.4.4 Federal Trade Commission (FTC)
5.4.5 ISO/IEC JTC 1/SC 42
6 Autonomous Data Platform Market By Component
6.1 Introduction
6.2 Platform
6.2.1 Increasing Need From Enterprises to Handle Complex Data Formats is Expected to Draw the Demand for Autonomous Data Platforms
6.3 Services
6.3.1 Advisory
6.3.1.1 Increasing Adoption of Complex Data Management Platform is Expected to Drive the Demand for Advisory Services
6.3.2 Integration
6.3.2.1 Growing Demand Amongst Enterprises for Hassle-Free Installation and Integration of Autonomous Data Platforms is Expected to Drive the Market for Integration Services
6.3.3 Support and Maintenance
6.3.3.1 Growing Need to Increase the Uptime of Data Management Platform to Spur the Demand for Support and Maintenance Services
7 Autonomous Data Platform Market By Organization Size
7.1 Introduction
7.2 Large Enterprises
7.2.1 Increasing Need to Analyze the Huge Volumes of Data Generated From Various Enterprise Systems to Drive the Demand for Autonomous Data Platforms Among Large Enterprises
7.3 Small and Medium-Sized Enterprises
7.3.1 Focus Amongst Enterprises to Improve the Quality of Data-Driven Insights to Boost the Adoption of Autonomous Data Platforms in Small and Medium-Sized Enterprises
8 Autonomous Data Platform Market By Deployment Type
8.1 Introduction
8.2 On-Premises
8.2.1 Concerns Over the Security of Sensitive Data to Drive the Adoption of On-Premises Autonomous Data Platforms
8.3 Cloud
8.3.1 Scalability, Enhanced Collaboration, and Cost-Effectiveness Offed By the Cloud Platform are Expected to Boost the Demand for Cloud-Based Autonomous Data Platforms
9 Autonomous Data Platform Market By Vertical
9.1 Introduction
9.2 BFSI
9.2.1 Growing Demand to Improves Customer Service and to Enhance Know Your Customer (KYC) Capabilities to Drive Demand for Autonomous Data Platform
9.3 Healthcare and Life Sciences
9.3.1 Growing Demand to Comply With Regulations in Healthcare Industry to Drive the Demand for Autonomous Data Platform and Services
9.4 Retail
9.4.1 Growing Demand to Manage Diverse Products and Items Across Multiple Departments and Portfolios is Expected to Drive the Demand for Autonomous Data Platform
9.5 Manufacturing
9.5.1 Autonomous Data Platform Enable Manufacturers to Manage Products, Inventories, and Assets Across All Channels
9.6 Telecommunication and Media
9.6.1 Growing Demand to Enables Consolidation of Information Into A Single Reference Frame and Centralization of Different Services is Expected to Drive Demand for Autonomous Data Platform
9.7 Government
9.7.1 Need to Manage Fragmented Critical Data From Heterogeneous Systems Propels Demand for Autonomous Data Platform
9.8 Others
10 Autonomous Data Platform Market By Region
For more information about this report visit https://www.researchandmarkets.com/r/ekdugs
View source version on businesswire.com: https://www.businesswire.com/news/home/20190814005451/en/
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