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시장보고서
상품코드
1610726
엣지 애널리틱스 시장 규모, 점유율, 성장 분석 : 유형별, 컴포넌트별, 도입별, 용도별, 최종 용도별, 지역별 - 산업 예측(2024-2031년)Edge Analytics Market Size, Share, Growth Analysis, By Type (Descriptive, Predictive), By Component, By Deployment, By Application, By End Use, By Region - Industry Forecast 2024-2031 |
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세계의 엣지 애널리틱스 시장 규모는 2022년에 69억 달러로 평가되며, 2023년 93억 달러에서 2031년에는 602억 달러로 성장하며, 예측 기간 중(2024-2031년) CAGR은 26.3%로 성장할 전망입니다.
센서 및 커넥티드 테크놀러지를 포함한 사물인터넷(IoT) 디바이스의 급속한 보급에 의해 엣지에서 생성되는 데이터가 대폭 급증했습니다. 이 동향은 특히 빠른 인사이트와 신속한 의사결정을 위해 데이터 발생지 근처에서 데이터를 처리하는 엣지 애널리틱스(Edge Analytics)를 통해 시장 성장을 가속하고 있습니다. 정보 통신 기술에 대한 정부의 투자 증가는 엣지 애널리틱스 시장을 더욱 자극하고 있으며, 인프라를 현대화하고 서비스 제공을 강화하는 스마트 시티 개발을 위한 구상이 있으며, 실시간 데이터 처리와 저지연 연결을 가능하게 하는 5G 네트워크의 등장도 필수적입니다. 빠른 의사결정 능력을 촉진할 수 있는 고속 연결을 제공합니다. 그 결과, 다양한 산업 분야에서 IoT와 첨단 엣지 애널리틱스를 활용하여 효과적인 데이터베이스 전략을 통해 운영을 최적화하고 비즈니스 확장을 촉진하고 있습니다.
Global Edge Analytics Market size was valued at USD 6.9 billion in 2022 and is poised to grow from USD 9.3 billion in 2023 to USD 60.2 billion by 2031, growing at a CAGR of 26.3% during the forecast period (2024-2031).
The rapid proliferation of Internet of Things (IoT) devices, including sensors and connected technology, has led to a significant surge in edge-generated data. This trend is driving market growth, particularly through edge analytics, which processes data near its source for prompt insights and quick decision-making. Increased government investments in information and communication technology are further stimulating the edge analytics market, with initiatives aimed at developing smart cities to modernize infrastructure and enhance service delivery. The advent of 5G networks is also vital, providing high-speed connectivity that enables real-time data processing and low latency, facilitating rapid decision-making capabilities. Consequently, various industries are leveraging IoT and advanced edge analytics to optimize operations and foster business expansion through effective data-driven strategies.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Edge Analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Edge Analytics Market Segmental Analysis
Global Edge Analytics Market is segmented by Type, Component, Deployment, Application, End Use and Region. Based on Type, the market is segmented into Descriptive, Diagnostic, Predictive, Prescriptive. Based on Component, the market is segmented into Software, Services. Based on Deployment, the market is segmented into On Premise, Cloud. Based on Application, the market is segmented into Marketing and Sales, Operations, Finance, Human Resource, Others. Based on End Use, the market is segmented into IT and Telecom, BFSI, Manufacturing, Healthcare, Retail, Transportation, Government, Energy and Power, Others. Based on Region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the Global Edge Analytics Market
A key driver of the Global Edge Analytics market is the significant reduction in latency, which greatly enhances decision-making capabilities. Unlike conventional analytics solutions that rely on collecting and sending large volumes of data to centralized cloud servers or data centers for processing-an often time-consuming process, particularly with extensive data sets or in areas with unreliable internet connectivity-edge analytics enables immediate processing of data at its source. This capability not only accelerates data analysis but also supports more agile, real-time decision-making, making it highly valuable in applications where timely insights are critical.
Restraints in the Global Edge Analytics Market
One of the key constraints in the Global Edge Analytics market is the rising concerns surrounding data security and privacy. Unlike cloud computing, which can manage data within centralized, highly secure data centers, edge analytics performs data processing across numerous devices that often lack robust physical security. This decentralized nature of processing presents significant vulnerabilities, as devices such as sensors, smartphones, and Internet of Things (IoT) devices are particularly susceptible to cyberattacks. Consequently, ensuring the security of sensitive data is a major challenge for organizations adopting edge analytics solutions, potentially hindering market growth and widespread acceptance.
Market Trends of the Global Edge Analytics Market
The Global Edge Analytics market is experiencing robust growth, driven by significant advancements in edge computing hardware and software. Innovative edge devices such as smart gateways, routers, and specialized edge servers are now capable of processing large volumes of data and executing complex analytical tasks, fostering real-time decision-making. The ability for these devices to function effectively in harsh industrial and outdoor environments expands their applicability across diverse sectors, from manufacturing to agriculture. As industries increasingly prioritize data-driven strategies, the demand for sophisticated edge analytics solutions is set to rise, further solidifying its position as a critical component of modern technological frameworks.