Westford, USA, Feb. 09, 2024 (GLOBE NEWSWIRE) -- According to SkyQuest's latest global research of the Autonomous Data Platform market, increased adoption of artificial intelligence and machine learning for data automation, the emergence of edge computing for real-time data processing, greater emphasis on data governance and ethics, growing use of data lakes and data fabric architectures, rising interest in hybrid and multi-cloud data management solutions, the integration of advanced analytics and data science tools into data platforms, and the development of self-service data analytics capabilities for business users are the trends that aid in the market's growth.
Browse in-depth TOC on "Autonomous Data Platform Market"
- Pages - 157
- Tables - 144
- Figures - 78
An autonomous data platform is a self-managing data infrastructure that uses artificial intelligence and machine learning to automate data ingestion, preparation, integration, governance, and analytics tasks. Autonomous data platforms can help organizations to improve data quality, reduce costs, and accelerate time to value.
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Prominent Players in Autonomous Data Platform Market
- Oracle
- Teradata
- IBM
- AWS
- MapR
- Cloudera
- Qubole
- Ataccama
- Gemini Data
- DvSum
- Denodo
- Zaloni
- Datrium
- Paxata
- Alteryx
- Actian
- Exasol
- Google Cloud Platform
- Microsoft Azure
- Snowflake
- Vertica
- Yellowbrick Data
- Starburst
Cloud-based Deployment Demand to Grow Substantially in the Forecast Period
Cloud-based deployment dominated the global online market as they offer greater scalability compared to on-premises solutions. Organizations can easily expand their data infrastructure as their data volume and processing needs grow, without the need for significant capital investments.
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Data Analytics and Business Intelligence (BI) is the Leading Application Segment
In terms of application, the data analytics and business intelligence (BI) is the leading segment as organizations across various industries increasingly rely on data analytics and BI tools to gain insights from their data. Autonomous data platforms can streamline data preparation, integration, and analysis processes, making it easier for businesses to extract valuable insights and make data-driven decisions.
North America is the leading Market Due to the Technological Advancements
Region-wise, North America is one of the largest growing markets with a huge emphasis on technological advancements. The presence of a robust tech industry, a culture of innovation, and a high adoption rate of data analytics and AI technologies across various sectors. The region's large enterprises, financial institutions, and healthcare organizations, and tech companies have been early adopters of autonomous data platforms.
A recent report thoroughly analyzes the major players operating within the Autonomous Data Platform market. This comprehensive evaluation has considered several crucial factors, such as collaborations, mergers, innovative business policies, and strategies, providing invaluable insights into the key trends and breakthroughs in the market. Additionally, the report has carefully scrutinized the market share of the top segments and presented a detailed geographic analysis. Finally, the report has highlighted the major players in the industry and their ongoing endeavors to develop innovative solutions that cater to the ever-increasing demand for Autonomous Data Platform.
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Key Developments in the Autonomous Data Platform Market
- Alteryx and UiPath, a provider of robotic process automation software, partnered. As a result of their collaboration, the two businesses have created a new connector that enables Alteryx customers to interact with UiPath bots and incorporate UiPath's RPA capabilities in their workflows.
Key Questions Answered in Autonomous Data Platform Market Report
- What specific growth drivers are projected to impact the market during the forecast period?
- Can you list the top companies in the market and explain how they have achieved their positions of influence?
- In what ways do regional trends and patterns differ within the global market, and how might these differences shape the market's future growth?
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