PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1355715
PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1355715
Global Federated Learning Solutions Market is valued at approximately USD 114.8 million in 2022 and is anticipated to grow with a healthy growth rate of more than 10.6% over the forecast period 2023-2030. Federated Learning is a machine learning approach that trains a centralized model using data distributed across numerous clients with unreliable and slow network connections. It enables training algorithms on decentralized edge devices or servers without sharing the underlying data. The Federated Learning Solutions Market is expanding because of factors such as the rising adoption of the Internet of Things and rising demand of Edge Computing. Moreover, the rising adoption of edge computing positively impacts the Federated Learning Solutions market by enabling real-time decision-making and reducing the need for data transfer, enhancing privacy and security.
According to Statista in 2022, The global edge computing is expected to reach approximately USD 274 billion by the year 2025. The rising adoption of IoT devices generates huge amounts of distributed data, driving the need for federated learning solutions that enable secure and efficient model training across these devices. This trend contributes to the growth and expansion of the Federated Learning Solutions Market. According to Statista in 2022, the number of Internet of Things (IoT) devices worldwide is expected to nearly triple from USD 9.7 billion in 2020 to over USD 29 billion by 2030. By 2030, China is projected to have the largest number of IoT devices, with around 5 billion devices used by consumers. In addition, increasing demand for secure and efficient data analysis and technological advancements in federated learning solutions would create a lucrative growth opportunity. However, a lack of skilled technical expertise and data privacy and security concerns stifles market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Federated Learning Solutions Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market during the forecast period owing to the, rising adoption of federated learning solutions driven by stringent data regulations, privacy concerns, and technological advancements and the growing use of innovative technologies such as Artificial intelligence and big data analytics increase market growth in the region. Asia Pacific is the fastest growing region during the forecast period owing to the factors such as the rising utilization of mobile devices and IoT, along with increase adoption of advanced technologies in this region.
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
List of tables and figures are dummy in nature, final lists may vary in the final deliverable
List of tables and figures are dummy in nature, final lists may vary in the final deliverable