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Data Monetization Market is projected to expand at a steady CAGR over the forecast by 2031 | SAP SE, Adastra Corporation, Monetize Solutions, Inc., VIAVI Solutions Inc.

01-18-2023 05:19 PM CET | Advertising, Media Consulting, Marketing Research

Press release from: Global Insight Services

Data Monetization Market is projected to expand at a steady CAGR

The global Data Monetization Market was valued at USD 1.6 Billion in 2022 and it is anticipated to grow up to USD 33.3 Billion by 2032, at a CAGR of 35.3% during the forecast period.

New York, Global Data Monetization Market report from Global Insight Services is the single authoritative source of intelligence on Data Monetization Market . The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters' and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.

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Data monetization is the process of converting data into a revenue-generating asset. This can be done through a variety of means, such as selling access to data, using data to drive sales or marketing efforts, or using data to develop new products or services. Monetizing data can be a lucrative way for companies to generate new revenue streams and grow their business.

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Market Trends and Drivers

In the current technological scenario, independent software vendors have turned to self-service business intelligence to increase application revenue and differentiate their offerings. Similarly, for enterprises developing applications, self-service BI can contribute to application ROI by increasing adoption and improving operational efficiencies. Data visualization offers companies an effective and easily accessible way to identify crucial patterns through visual representation. Visualizing data is a concept that is used in different terms and technologies, including dashboards, infographics, scorecards, analytics, Big Data, and business intelligence. The increase in data has been accelerated by emerging technologies powered by and contributing to exponential data growth. These technologies are Edge Computing, 5G networking, the Internet of Things (IoT), Artificial intelligence and machine learning (AI/ML), Augmented and virtual reality (AR/VR), and Blockchain. Such an unprecedented increase in data volume, variety, and speed has increased data monetization adoption.

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Global Data Monetization Market Segmental Overview

The report analyses the global Data Monetization Market based on organization size, method, vertical, and region.

Global Data Monetization Market by Organization size

By organization, the market is segmented into Large Enterprises, and SMEs. Large enterprises segment held the largest market share of xx% in 2022. This is attributable to the rising presence of large organizations that have global dominance. The data monetization market includes companies that have marked a strong foothold in retail, BFSI, and telecommunication verticals. Furthermore, large enterprises have customers present across the globe and value chain. They have adequate technical expertise, business strategies, and capital. There is a growing requirement for advanced technologies such as cloud computing and Artificial Intelligence (AI) in the market. Large enterprises can easily invest in such new technologies to maintain business continuity.

SMEs are anticipated to expand at the highest CAGR of over xx% from 2023 to 2032. Rising adoption of data monetization by SMEs to sustain in the competitive market is expected to power the segment growth over the forecast period. Furthermore, SMEs are expected to face resource shortages, thereby resulting in business complexities and the increased need to optimize cost. In this situation, the rising presence of cloud-based data monetization is expected to play a pivotal role in ensuring reduced operations cost and increased efficiency thereby positively affecting the segment growth.

Global Data Monetization Market by Method

By method, the Data Monetization Market is classified into Data as a Service, Insight as a Service, Analytics-enabled Platform as a Service, and Embedded Analytics. he analytics-enabled platform, as a service segment held the largest market share of xx% in 2022. This is attributable to the ability of the method to provide flexible data monetization to customers. This method comes pre-installed with BI and analytics tools and is implemented to give the consumers insights in real-time, along with high versatility. Additionally, it is compatible with all cloud-based solutions, supports wide arrays of data formats, and can be deployed on-premises and cloud. However, this method demands expert support for maintenance and installation.

The embedded analytics segment is expected to expand at a CAGR exceeding xx% from 2023 to 2032. Embedded analytics can integrate existing applications with additional features such as data visualization, dashboard reporting, and analytics. This method accelerates time to market, creates customized embedded analytics solutions, and lowers TCO. Similarly, insight as a service is a combination of external and internal data sources that uses analytics to provide data insights. This method is capable of supporting specific datasets and ensures providing updated data to customers.

Global Data Monetization Market by Vertical

Based on Vertical. It is segmented into, BFSI, E-commerce & Retail, Telecommunications & IT, Manufacturing, Healthcare, Energy & Utilities, and Others. The BFSI segment held the highest share of 21.44% in 2019. This is attributable to the growing presence of most data-rich businesses in the banking sector. According to the industry experts operating in banking and financial security companies, BFSI organizations manage over 3.8 petabytes of data. This has created a massive demand for data monetization in the BFSI segment. Furthermore, data monetization in BFSI accelerates customer interactions and operating income by over 50%. Such factors are anticipated to power market growth over the forecast period.

Geographical Analysis of Global Data Monetization Market

Region-wise, it is studied across North America, Europe, Asia Pacific, and the Rest of the World. North America held the largest market share of xx% in 2022. This is attributable to the presence of major players in the region. Furthermore, the region's growth is highly influenced by the U.S. Companies based in the U.S. and Canada are engaged in investing and rapidly adopting advanced technologies such as cloud computing, big data, and analytics. This gave North America the first-mover advantage. Also, rising demand among enterprises to automate decision-making processes, optimized infrastructure costs, and technology enhancements have significantly affected regional growth.

The Asia Pacific region is anticipated to expand at the highest CAGR of over 30% from 2023 to 2032. The growing adoption of cloud, IoT, and big data solutions in the region is further expected to fuel the region's market growth over the forecast period. The rising advancements in networking technologies, the rapid boom of e-commerce, increasing manufacturing and the automotive sector, and increasing regulatory mandates have positively impacted the regional growth.

Major Players in the Global Data Monetization Market

The key players in the Data Monetization Market SAP SE, Adastra Corporation, Monetize Solutions, Inc., VIAVI Solutions Inc., ALC, Reltio, Optiva, Inc., Cisco Systems, Inc., and Mahindra ComViva., among others.

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About Global Insight Services:

Global Insight Services (GIS) is a leading multi-industry market research firm headquartered in Delaware, US. We are committed to providing our clients with highest quality data, analysis, and tools to meet all their market research needs. With GIS, you can be assured of the quality of the deliverables, robust & transparent research methodology, and superior service.

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