𝐌𝐨𝐝𝐞𝐫𝐧 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐖𝐎𝐓 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐛𝐲 𝟐𝟎𝟑𝟑
According to the Market Statsville Group (MSG), the Global modern data platforms Market size is expected to project a considerable CAGR of 5.6% from 2024 to 2033.
The modern data platform market is a novel market that is currently quickly growing as a result of growing volumes of data and organizations’s awareness of the potential for achieving a competitive advantage based on data. For instance, IoT devices and social media, which are producing data at a rapid rate of doubling. The IoT devices that information to the next level by emphasizing that organizations require strong solutions to host as well as analyze such information. There is a need for more analytical tools such as big data, the Internet of Things, and machine learning and AI, which puts pressure on the data platform to carry heavy computational work. The changes brought about by the adoption of cloud computing have largely had to do with how data platforms are viewed, where most organizations opt to move their data and analytics to the cloud environment to maximize on them. With increased legal requirements on both data protection and security such as GDPR and CCPA, companies would need platforms that can offer better governance capabilities. Other common means of handling both structured and unstructured data in data storage platforms include data lakes, data warehouses, and NoSQL databases.
Request Sample Copy of this Report: https://www.marketstatsville.com/request-sample/modern-data-platforms-market?utm_source=free&utm_medium=harsh
Scope of the Modern Data Platforms Market
The study categorizes the modern data platforms market based on data type, deployment model, component, and end-user area at the regional and global levels.
By Data Type Outlook (Sales, USD Million, 2019-2033)
Structured Data
Unstructured Data
Semi-Structured Data
By Deployment Model Outlook (Sales, USD Million, 2019-2033)
Cloud-Based
On-Premises
Multi-Cloud
By Component Outlook (Sales, USD Million, 2019-2033)
Data Storage
Data Integration and ETL
Data Processing
Data Analytics and BI
Data Governance and Security
By End User Outlook (Sales, USD Million, 2019-2033)
Financial Services
Healthcare
Retail
Manufacturing
Government
Telecommunications
By Region Outlook (Sales, USD Million, 2019-2033)
North America
US
Canada
Mexico
Europe
Germany
Italy
France
UK
Spain
Poland
Russia
The Netherlands
Norway
Czech Republic
Rest of Europe
Asia Pacific
China
Japan
India
South Korea
Indonesia
Malaysia
Thailand
Singapore
Australia & New Zealand
Rest of Asia Pacific
South America
Brazil
Argentina
Colombia
Rest of South America
The Middle East & Africa
Saudi Arabia
UAE
South Africa
Northern Africa
Rest of MEA
Direct Purchase Report: https://www.marketstatsville.com/buy-now/modern-data-platforms-market?opt=3338&utm_source=free&utm_medium=harsh
Competitive Landscape: Modern Data Platforms Market
The modern data platforms market is a significant competitor and extremely cutthroat in the sector is using strategies including partnerships, product launches, acquisitions, agreements, and growth to enhance their positions in the market. Most sectors of businesses focus on increasing their operations worldwide and cultivating long-lasting partnerships.
Major players in the modern data platforms market are:
Teradata
Cloudera
SAP
Databricks
Oracle
Snowflake
IBM
Google Cloud Platform (GCP)
Microsoft Azure
Amazon Web Services (AWS)
According to the Market Statsville Group (MSG), the Global modern data platforms Market size is expected to project a considerable CAGR of 5.6% from 2024 to 2033.
The modern data platform market is a novel market that is currently quickly growing as a result of growing volumes of data and organizations’s awareness of the potential for achieving a competitive advantage based on data. For instance, IoT devices and social media, which are producing data at a rapid rate of doubling. The IoT devices that information to the next level by emphasizing that organizations require strong solutions to host as well as analyze such information. There is a need for more analytical tools such as big data, the Internet of Things, and machine learning and AI, which puts pressure on the data platform to carry heavy computational work. The changes brought about by the adoption of cloud computing have largely had to do with how data platforms are viewed, where most organizations opt to move their data and analytics to the cloud environment to maximize on them. With increased legal requirements on both data protection and security such as GDPR and CCPA, companies would need platforms that can offer better governance capabilities. Other common means of handling both structured and unstructured data in data storage platforms include data lakes, data warehouses, and NoSQL databases.
Request Sample Copy of this Report: https://www.marketstatsville.com/request-sample/modern-data-platforms-market?utm_source=free&utm_medium=harsh
Scope of the Modern Data Platforms Market
The study categorizes the modern data platforms market based on data type, deployment model, component, and end-user area at the regional and global levels.
By Data Type Outlook (Sales, USD Million, 2019-2033)
Structured Data
Unstructured Data
Semi-Structured Data
By Deployment Model Outlook (Sales, USD Million, 2019-2033)
Cloud-Based
On-Premises
Multi-Cloud
By Component Outlook (Sales, USD Million, 2019-2033)
Data Storage
Data Integration and ETL
Data Processing
Data Analytics and BI
Data Governance and Security
By End User Outlook (Sales, USD Million, 2019-2033)
Financial Services
Healthcare
Retail
Manufacturing
Government
Telecommunications
By Region Outlook (Sales, USD Million, 2019-2033)
North America
US
Canada
Mexico
Europe
Germany
Italy
France
UK
Spain
Poland
Russia
The Netherlands
Norway
Czech Republic
Rest of Europe
Asia Pacific
China
Japan
India
South Korea
Indonesia
Malaysia
Thailand
Singapore
Australia & New Zealand
Rest of Asia Pacific
South America
Brazil
Argentina
Colombia
Rest of South America
The Middle East & Africa
Saudi Arabia
UAE
South Africa
Northern Africa
Rest of MEA
Direct Purchase Report: https://www.marketstatsville.com/buy-now/modern-data-platforms-market?opt=3338&utm_source=free&utm_medium=harsh
Competitive Landscape: Modern Data Platforms Market
The modern data platforms market is a significant competitor and extremely cutthroat in the sector is using strategies including partnerships, product launches, acquisitions, agreements, and growth to enhance their positions in the market. Most sectors of businesses focus on increasing their operations worldwide and cultivating long-lasting partnerships.
Major players in the modern data platforms market are:
Teradata
Cloudera
SAP
Databricks
Oracle
Snowflake
IBM
Google Cloud Platform (GCP)
Microsoft Azure
Amazon Web Services (AWS)
𝐌𝐨𝐝𝐞𝐫𝐧 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐖𝐎𝐓 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐛𝐲 𝟐𝟎𝟑𝟑
According to the Market Statsville Group (MSG), the Global modern data platforms Market size is expected to project a considerable CAGR of 5.6% from 2024 to 2033.
The modern data platform market is a novel market that is currently quickly growing as a result of growing volumes of data and organizations’s awareness of the potential for achieving a competitive advantage based on data. For instance, IoT devices and social media, which are producing data at a rapid rate of doubling. The IoT devices that information to the next level by emphasizing that organizations require strong solutions to host as well as analyze such information. There is a need for more analytical tools such as big data, the Internet of Things, and machine learning and AI, which puts pressure on the data platform to carry heavy computational work. The changes brought about by the adoption of cloud computing have largely had to do with how data platforms are viewed, where most organizations opt to move their data and analytics to the cloud environment to maximize on them. With increased legal requirements on both data protection and security such as GDPR and CCPA, companies would need platforms that can offer better governance capabilities. Other common means of handling both structured and unstructured data in data storage platforms include data lakes, data warehouses, and NoSQL databases.
Request Sample Copy of this Report: https://www.marketstatsville.com/request-sample/modern-data-platforms-market?utm_source=free&utm_medium=harsh
Scope of the Modern Data Platforms Market
The study categorizes the modern data platforms market based on data type, deployment model, component, and end-user area at the regional and global levels.
By Data Type Outlook (Sales, USD Million, 2019-2033)
Structured Data
Unstructured Data
Semi-Structured Data
By Deployment Model Outlook (Sales, USD Million, 2019-2033)
Cloud-Based
On-Premises
Multi-Cloud
By Component Outlook (Sales, USD Million, 2019-2033)
Data Storage
Data Integration and ETL
Data Processing
Data Analytics and BI
Data Governance and Security
By End User Outlook (Sales, USD Million, 2019-2033)
Financial Services
Healthcare
Retail
Manufacturing
Government
Telecommunications
By Region Outlook (Sales, USD Million, 2019-2033)
North America
US
Canada
Mexico
Europe
Germany
Italy
France
UK
Spain
Poland
Russia
The Netherlands
Norway
Czech Republic
Rest of Europe
Asia Pacific
China
Japan
India
South Korea
Indonesia
Malaysia
Thailand
Singapore
Australia & New Zealand
Rest of Asia Pacific
South America
Brazil
Argentina
Colombia
Rest of South America
The Middle East & Africa
Saudi Arabia
UAE
South Africa
Northern Africa
Rest of MEA
Direct Purchase Report: https://www.marketstatsville.com/buy-now/modern-data-platforms-market?opt=3338&utm_source=free&utm_medium=harsh
Competitive Landscape: Modern Data Platforms Market
The modern data platforms market is a significant competitor and extremely cutthroat in the sector is using strategies including partnerships, product launches, acquisitions, agreements, and growth to enhance their positions in the market. Most sectors of businesses focus on increasing their operations worldwide and cultivating long-lasting partnerships.
Major players in the modern data platforms market are:
Teradata
Cloudera
SAP
Databricks
Oracle
Snowflake
IBM
Google Cloud Platform (GCP)
Microsoft Azure
Amazon Web Services (AWS)
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