Global Data Monetization Market: Key Highlights
Global Data Monetization Market: Key Market Dynamics
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Global Data Monetization Market: Regional Overview
The North America is expected to account largest market growth in terms of revenues for the data monetization. Whereas, the technological growth such as developments of products has also contribute an opportunities for the market growth in the region. With the ongoing rapid adoption of technologies such as cloud as well as big data in the various industries will also grow the market. In 2017, the Mnubo partnered with Dawex to deliver the industry’s first IoT Analytics and Monetization Solution. These developments and mergers may also play a key role in drive the growth of the market in the forecast period.
Hence, these trend will lead to enhance the growth of the data monetization market in the projected period.
The region is witness to be one of the major player for the adoption of new technologies for the growth of financial sector as well as the government services. Whereas, Japan, China and India has also taking initiatives for the digitalized the countries and improve the economic development of the region. The deployment of big data, Internet of thing as well as artificial intelligence in the region is excepted to fuel the data motorization market in the forecast period.
Hence the initiative taken by the Chinese government, of Made in China 2025 will also lead to boost the market in the projected period.
Global Data Monetization Market: Key Players Overview
Oracle is an American multinational corporations, which sells database software as well as cloud systems. Whereas, in 2019, company announced a new cloud-native deployment option for the Billing and Revenue Management (BRM) which enhances the deployment model to provide a modern monetization solution for capturing opportunities. Also, the latest version of the BRM solution helps to support the upcoming 5G enabled use cases for CSPs.
Microsoft is an American multinational technology company, which supports, and sells computer software. Whereas, the Microsoft Azure Machine Learning Studio is join drag-and-drop tool which help to build, test and deploy predictive analytics solutions for the data. In 2019, company has announced a new Microsoft Azure service to enhance the organizations in sharing their internal data.
Hence, the company also enhance the services for the user for sharing data for comply with the privacy policies and regulations.
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