电信市场中的全球数据货币化 – 行业趋势和 2029 年预测

市场分析和规模

近年来，电信行业已成功与第三方企业建立了强大的外部合作伙伴关系，利用数据为客户提供创新服务。在人工智能(AI) 的帮助下，数据每天都变得更加结构化，数据质量也得到了显著提高，从而形成了完善的客户数据库。电信企业正在迅速采用数据货币化来创造新的增长和收入机会。

2021 年，全球电信市场的数据货币化价值为 30.1 亿美元，预计到 2029 年将达到 130.9 亿美元，在 2022-2029 年的预测期内复合年增长率为 20.20%。由于涉及处理敏感和机密数据的应用程序的广泛采用，“本地”在相应市场中占据最大类型细分市场。除了市场价值、增长率、细分市场、地理覆盖范围、市场参与者和市场情景等市场洞察外，Data Bridge 市场研究团队策划的市场报告还包括深入的专家分析、进出口分析、定价分析、生产消费分析和 pestle 分析。

市场定义

数据货币化是指将大量非结构化或未使用的企业数据转化为有价值的见解的过程。它涉及将这些数据货币化为货币或服务交换。该过程可帮助企业降低业务运营成本，同时增加收入来源。

报告范围和市场细分

Data Monetization in Telecom Market Dynamics

This section deals with understanding the market drivers, opportunities, restraints and challenges. All of this is discussed in detail as below:

Drivers

• Direct Data Monetization

The ability to directly monetize data by selling raw data or taking out insights from analysed and processed data is one of the major factors driving the data monetization in the telecom market. Google monetizes data through real-time bidding while optimizing their platform's experience as they reinvest data into their platform.

• Rise in the Volume of Enterprise Data

The rise in enterprise data volume and increased focus to generate new revenue streams accelerate market growth. Also, the growth in awareness towards the potential benefits of data monetization positively impacts the market.

• Incorporation of Various Analytics

The use of numerous analytics and technologies among enterprises further influences the market. Ride-hailing companies such as Ola, Uber, and Lyft use location-based analytics to acquire insight about their customer's data that is generally extracted from pick-up and drop-off locations.

Additionally, rapid urbanization, change in lifestyle, surge in investments and increased consumer spending positively impact the data monetization in telecom market.

Opportunities

Furthermore, rise in need to create insights from a pool of data extend profitable opportunities to the market players in the forecast period of 2022 to 2029. According to a report by IBM, only 23% of companies surveyed have been reported to own an enterprise-wide big data strategy. Also, adoption of AI for data processing will further expand the market.

Restraints/Challenges

On the other hand, varying structure of regulatory policies, and lack of organizational capabilities and cultural barriers are expected to obstruct market growth. Also, the quality of data collected by organizations for monetization and privacy and security concerns are projected to challenge the data monetization in the telecom market in 2022-2029.

This data monetization in telecom market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on data monetization in telecom market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

COVID-19 Impact on Data Monetization in Telecom Market

COVID-19 had a positive impact on the data monetization in telecom market due to the rise in number of industry verticals adopting data monetization tools during the outbreak of COVID-19. Numerous industries, especially the telecommunication sector, were deploying data monetization to increase their revenue from the collected data. The data monetization in telecom market is expected to witness high growth in the post-pandemic scenario owing to the rise in awareness regarding the potential benefits of data monetization.

Recent Developments

• Microsoft introduced a new Microsoft Azure service in July’2019. This service is a cloud service that assists organizations in sharing their internal data. The company aims to deliver the service for its customers to share data to comply with regulations and privacy policies.
• Salesforce announced the acquisition of Tableau in June’2019 to deliver a full view of their consumers across touchpoints by combining the CRM platform.

Global Data Monetization in Telecom Market Scope and Market Size

The data monetization in telecom market is segmented on the basis of component, data type, business function, deployment type and organization type. The growth amongst these segments will help you analyze meager growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Component

• Tools
• Services

                   Support and Maintenance

                   Consulting

                   Implementation

Data Type

• Customer Data
• Product Data
• Financial Data
• Supplier Data

Business Function

• Sales and Marketing
• Supply Chain Management
• Operations
• Finance
• Others

  Research and Development

                 HR

                Legal

Deployment Type

• On-Premises
• Cloud

Organization Type

• Small and Medium-Sized Enterprises (SMEs)
• Large Enterprises

Data Monetization in Telecom Market Regional Analysis/Insights

The data monetization in telecom market is analyzed and market size insights and trends are provided by country, component, data type, business function, deployment type and organization type as referred above.

The countries covered in the data monetization in telecom market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America dominates the data monetization in the telecom market due to the adoption of advanced solutions and increased investments within the region.

Asia-Pacific (APAC) is expected to witness significant growth during the forecast period of 2022 to 2029 because of the region's expansion of the telecommunication sector.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.   

Competitive Landscape and Data Monetization in Telecom Market

The data monetization in telecom market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to data monetization in telecom market.

Some of the major players operating in data monetization in telecom market are

• Accenture (Ireland)
• Capgemini (France)
• Cisco Systems (US)
• Google (US)
• Intel (US)
• Lynx Software Technologies (US)
• Redknee Inc. (Canda)
• SAP SE (Germany)
• SQLstream, Inc (US)
• 1010data (US)
• Dawex Systems (US)
• Elevondata Labs Private Limited (India)
• Gemalto (Netherlands)
• iConnectiva (India)
• Mahindra Comviva (India)
• NETSCOUT (US)
• Optiva（加拿大）
• Emu Analytics Ltd（英国）
• Adastra 公司 (加拿大)

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