Mobile Virtual Network Operator Industry Trends and Forecast Report, 2030

In 2023, the mobile virtual network operator market had a value of USD 79.2 billion, and it is projected to expand at a compound annual growth rate (CAGR) of 8.8% from 2024 to 2030, reaching USD 141.9 billion by 2030.

This development of the market can be credited to the rise in the penetration of mobile devices and the need for low-priced mobile facilities; quick development in the requirement for triple-play facilities in emerging nations; and a surge in the need for high-speed internet connectivity.

However, while the traditional, full MVNOs have always been market leaders in terms of revenue, there have been newer players entering the market with the foremost focus on value-added services.

Regional Outlook

• The Prepaid category is estimated to advance faster at a CAGR of more than 9.3% over the projection period because of its customization choices and pay-as-you-use model.

• In 2023, the postpaid category generated the larger revenue share and is projected to continue to lead the industry. This is mainly because they provide customers the ease of paying monthly bills based on service usage, along with advantages such as unlimited services and rollover of unused data.

• Discount MVNOs took the largest portion of the market in 2023, and it is predicted that they will maintain their dominance given the campaigns of digitalization, the growth of the target group, their capability to engage customers, the need of small and middle enterprises, and the high competitiveness of the telecom providers.

• Cellular M2M MVNOs will make the biggest mark due to intensified use of cellular connectivity across different gadgets, a new level of 3G M2M technology, larger mobile network coverage, and MVNOs expanding their service offerings.

• In 2023, full MVNOs had more than 55% of the revenue share and the category is also projected to uphold dominance.

• The full MVNO model is common because of offers SIM cards, provides value-added services, and guarantees complete customer ownership and relationship.

• In 2023, the consumer category had a higher revenue share, and the category is also projected to uphold its position.

• Constant extension of the mobile subscription list and growing numbers of mobile devices are primary reasons for mobile data connection growth.

• Data-intensive applications like web browsing and video streaming are gaining more and more popularity among consumers, which represents market growth.

• Funds are being set aside to boost the beneficial sources by connecting more mobile broadband and, as a result, to have a positive role in category growth.

• The European industry held the largest revenue share in recent years and is projected to uphold supremacy.

• High acceptance of enhanced technologies, infrastructure growth, and the existence of several MVNOs contribute.

• Acceptance of combined services like VoIP also propels industry development.

• The APAC region to experience the fastest development because of partnerships between market players and mobile phone makers.

AutoML Industry Trends and Forecast Report, 2030

According to the latest market research study published by P&S Intelligence, the AutoML industry is witnessing growth and is projected to reach 15,499.3 million by 2030.

The market is driven by the growing need for effective scam recognition solutions, the rising requirement for tailored product recommendations, and the increasing importance of predictive lead scoring.

Cloud computing is broadly accepted to create greater competitiveness through superior cost efficiency, agility, scalability, and resource use optimization. Unlike any other technology that can be summed up or viewed in its totality, cloud computing comprises many parts that when put together, serve a greater cause.

It provides access to cloud-native tech, advances the style of operation, and creates conditions for ML and AI development and addition. It is demonstrated as the main direction in the market growth that the demand for cloud-based platforms is increasing.

Cloud-based solutions consist of a SaaS model, which gives users the possibility to remotely access automatically generated machine learning solutions via an internet service. The fact that the solution is cloud-deployed ensures a better level of flexibility and scalability alongside an affordable price and reduces the IT infrastructure costs.

Finding and forestalling frauds are one of the most challenging activities in the industrial world for every company in every sector. This results in more numerous instances of fraud detection schemes that are leading to an increased market of AutoML. Similarly, Federal Agencies are estimated to have improperly paid up to 247 billion dollars in just the fiscal year of 2022, and since the fiscal year 2003, improper payments are estimated to be around USD 2.4 trillion.

Regional Outlook

• In 2023, the large enterprises category dominated in revenue generation, propelled by AutoML acceptance for cost decreases and strategic purposes.

• SMEs are estimated to advance quickly at a 51.6% CAGR, mainly because of AutoML's role in advancing customer prospecting effectiveness.

• The sales & marketing management category is projected for fast development because of wide usage for client insights and emotional analysis.

• The application comprises content personalization, lead generation, client segmentation, and advanced customer engagement.

• The BFSI category dominates AutoML acceptance for scam detection, credit hazard analysis, and modified services, propelling significant revenue.

• The future of the healthcare industry with AutoML is certainly promising; using it will improve disease diagnosis, research, and patient care.

• The sales & marketing management category is poised for quick development, using AutoML for client insights, content personalization, and engagement strategies.

• Multinational businesses tend to turn to AutoML to cut costs, analyze competitors, and guide sales and marketing decisions, while small and medium enterprises tend to implement AutoML faster with a focus on identifying customers.

• In 2023, the North American region dominated AutoML revenue because of enhanced IT infrastructure and major industry existence, such as BFSI, IT & telecom, and healthcare.

• Substantial venture capital (VC) backing in AI techs since 2013 has boosted industry development, with U.S. AI-associated VC investments touching USD 99.5 billion in 2018.

• California led the way with USD 510 billion AI investments and then Massachusetts took the second place with USD 247 billion followed by New York with USD 110 billion.

• IT spending, technical progress, and government measures are the factors which benefit AI environment and industry development in North America, therefore, they make North America strong AI environment and industry giants.