사물인터넷(IoT)과 커넥티드 디바이스의 급속한 개발. IoT 애플리케이션이 각 업계로 확산되면서 엣지에서 생성된 데이터를 효율적으로 관리 및 처리할 수 있는 가볍고 고성능인 데이터베이스에 대한 수요가 높아지고 있습니다. 임베디드 DBMS 솔루션은 스마트 디바이스나 산업기기 등의 자원에 제약이 있는 환경에서 실시간으로 데이터 접근과 처리를 가능하게 해 인기가 높아 2024년에는 108억 달러를 돌파하였고, 2031년에는 187억 달러에 이를 것으로 예상됩니다.
또한 에지 컴퓨팅에 중점을 두어 중앙 집중식 데이터 처리 지연과 종속성을 줄이려는 조직이 이러한 수요를 뒷받침합니다. 임베디드 DBMS 솔루션에서의 매끄러운 통합, 확장성, 견고성에 대한 수요는 자동차, 헬스케어, 제조업을 포함한 다양한 산업에서의 혁신과 채택을 지속적으로 촉진하고 있으며 2024년부터 2031년까지 CAGR 약 7.1%로 성장할 것으로 예상됩니다.
임베디드 데이터베이스 관리 시스템 시장 정의 및 개요
임베디드 데이터베이스 관리 시스템(DBMS)은 애플리케이션 및 디바이스에 통합되는 특수 데이터베이스로, 호스트 환경 내에서 데이터의 저장 및 관리를 효율적으로 수행할 수 있습니다. IoT 디바이스, 모바일 애플리케이션, 자동차 시스템, 산업 오토메이션 등 실시간 처리와 저시간 레이턴시를 실현하기 위해 로컬에서 데이터를 처리하는 애플리케이션에 필수적입니다. 임베디드 DBMS의 미래는 IoT 및 에지 컴퓨팅 시장 확대, 스마트 디바이스의 진보, 실시간 데이터 관리에 대한 수요 증대가 성장의 원동력이 되고 있으며 유망시되고 있습니다. 기술이 발전함에 따라 임베디드 DBMS는 성능, 확장성, AI 및 기계학습 등 신기술과의 통합을 향상시킬 것으로 보입니다.
사물인터넷(IoT)의 채용 확대가 임베디드 데이터베이스 관리 시스템(DBMS) 시장을 견인하고 있습니다. 스마트홈 기술, 산업 오토메이션, 헬스케어 등 다양한 업계에서 IoT 디바이스가 보급됨에 따라 이들 디바이스에 접목된 효율적인 실시간 데이터 관리 솔루션의 필요성이 높아지고 있습니다. 임베디드 DBMS 솔루션은 데이터를 로컬에서 관리 및 처리하고 레이턴시를 감소시켜 신속한 접근성을 확보하는 것을 목적으로 하며 IoT 애플리케이션의 성능과 신뢰성에 필수적입니다. IoT 도입의 증가로 대량의 데이터를 분산 처리할 수 있는 고급 임베디드 데이터베이스의 수요가 높아지고 있습니다.
Qualcomm은 2024년 8월 최신 Snapdragon IoT 플랫폼을 발표했습니다. 이 플랫폼에는 연결된 장치의 데이터 관리 및 분석 기능을 향상시키는 고급 임베디드 DBMS 기능이 탑재되어 있습니다. 이 플랫폼은 스마트시티와 산업용 IoT 등 폭넓은 IoT 애플리케이션을 지원하는 것을 목적으로 하고 있으며, 실시간 데이터 처리가 중시되고 있음을 반영하고 있습니다. 아울러 보쉬는 2024년 7월 스마트홈과 산업용 IoT 기기의 데이터 관리를 합리화하기 위해 설계된 임베디드 데이터베이스 솔루션을 포함한 IoT Suite를 발표해 IoT 도입 확대에 시장이 대응하고 있음을 보여줬습니다.
2024년 6월, 인도 전자 정보 기술부(MEITY)는 IoT 혁신을 촉진하기 위한 새로운 이니셔티브를 출시하고 IoT 애플리케이션을 위한 고급 임베디드 DBMS 솔루션을 개발하는 기업에 보조금 및 자금 제공을 시작했습니다. 이 정책은 기술의 진보와 IoT 장비에 임베디드 데이터베이스 통합을 촉진하여 시장 확대를 촉진하고 효과적인 데이터 관리 솔루션에 대한 수요 증가에 부응하고자 합니다.
보안 우려 증가는 임베디드 데이터베이스 관리 시스템(DBMS) 시장의 성장에 어려움을 야기할 수 있습니다. 임베디드 데이터베이스가 가전에서 중요한 산업 시스템까지 다양한 애플리케이션과 디바이스에서 널리 사용됨에 따라 사이버 공격의 표적이 되고 있습니다. 이러한 시스템에서 관리되는 데이터의 보안은 매우 중요하며, 취약점이나 위반이 있다면 정보의 무결성과 기밀성에 심각한 영향을 미칠 수 있습니다.
IoT와 스마트 디바이스의 보급으로 임베디드 데이터베이스의 보안 확보가 복잡해지고 있습니다. 이러한 시스템은 자원에 제약이 있는 환경에서 작동하는 경우가 많아 강력한 보안 대책의 구현이 어려워지고 있습니다. 임베디드 기기의 처리능력이나 메모리는 한정되어 있기 때문에 고도의 암호화, 인증, 기타 보안기술의 도입이 어렵고, 이러한 시스템이 위협에 노출되기 쉬워질 가능성이 있습니다.
임베디드 DBMS 시장이 성장함에 따라 이러한 시스템을 사용하는 장치와 용도도 다양해지고 있습니다. 이러한 다양성은 플랫폼 간 보안 관행과 표준에 일관성이 없다는 결과를 초래할 수 있습니다. 다양한 기기 간에 일관된 보안 프로토콜과 업데이트를 확보하기는 어려우며 악의적 행위자가 악용할 수 있는 취약성을 드러낼 수 있습니다.
규제 요구 사항 및 데이터 보안 규정 준수 기준의 복잡성은 시장에 더 큰 영향을 미칠 수 있습니다. 조직은 엄격한 데이터 보호 규제를 따라야 하며, 안전한 임베디드 데이터베이스의 개발과 유지에 드는 비용과 복잡성을 증대시킬 수 있습니다. 진화하는 규제에 준거하기 위해 보안 대책을 항상 갱신 및 감사할 필요가 있기 때문에 자원에 부담이 되고 시장 성장이 둔화될 가능성이 있습니다.
The rapid development of the Internet of Things (IoT) and connected devices. As IoT applications spread across industries, there is an increasing demand for lightweight, high-performance databases capable of efficiently managing and processing data generated at the edge. Embedded DBMS solutions are popular because they enable real-time data access and processing in resource-constrained environments such as smart devices and industrial equipment is surpassing USD 10.8 Billion in 2024 and reachingUSD 18.70 Billion by 2031.
Furthermore, the growing emphasis on edge computing drives this demand, as organizations seek to reduce latency and reliance on centralized data processing. The demand for seamless integration, scalability, and robustness in embedded DBMS solutions continues to drive innovation and adoption in a variety of industries, including automotive, healthcare, and manufacturing is expected to grow at aCAGR of about 7.1% from 2024 to 2031.
Embedded Database Management Systems Market: Definition/ Overview
Embedded Database Management Systems (DBMS) are specialized databases that are integrated into applications or devices, allowing for efficient data storage and management right within the host environment. They are critical for applications such as IoT devices, mobile applications, automotive systems, and industrial automation, where data is handled locally for real-time processing and low latency. The future of embedded DBMS looks promising, with growth driven by the expanding IoT and edge computing markets, advances in smart devices, and rising demand for real-time data management. As technology advances, embedded DBMS will improve performance, scalability, and integration with new technologies such as AI and machine learning.
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The growing adoption of the Internet of Things (IoT) is driving the embedded database management systems (DBMS) market. As IoT devices proliferate in a variety of industries, including smart home technology, industrial automation, and healthcare, the need for efficient, real-time data management solutions embedded in these devices grows. Embedded DBMS solutions are intended to manage and process data locally, lowering latency and ensuring rapid access, which is critical for the performance and dependability of IoT applications. The increase in IoT deployment drives demand for advanced embedded databases that can handle massive amounts of data in a distributed manner.
Qualcomm announced its latest Snapdragon IoT platform in August 2024, which includes sophisticated embedded DBMS features to improve data management and analytics capabilities in connected devices. This platform aims to support a wide range of IoT applications, including smart cities and industrial IoT, reflecting the growing emphasis on real-time data processing. Furthermore, in July 2024, Bosch launched its IoT Suite, which includes embedded database solutions designed to streamline data management for smart home and industrial IoT devices, demonstrating the market's response to growing IoT adoption.
In June 2024, the Indian Ministry of Electronics and Information Technology (MEITY) launched a new initiative to promote IoT innovation, which included grants and funding for companies developing advanced embedded DBMS solutions for IoT applications. This policy seeks to promote technological advancements and the integration of embedded databases into IoT devices, thereby driving market expansion and meeting the growing demand for effective data management solutions.
Growing security concerns may pose a challenge to the growth of the Embedded Database Management Systems (DBMS) market. As embedded databases become more widely used in a variety of applications and devices, ranging from consumer electronics to critical industrial systems, they become prime targets for cyber attacks. The security of data managed by these systems is critical, and any vulnerabilities or breaches can have serious consequences for the integrity and confidentiality of the information.
The proliferation of IoT and smart devices has increased the complexity of securing embedded databases. These systems frequently operate in resource-constrained environments, making it difficult to implement strong security measures. Embedded devices' limited processing power and memory may make it difficult to deploy advanced encryption, authentication, and other security technologies, potentially leaving these systems vulnerable to threats.
As the embedded DBMS market grows, so will the variety of devices and applications that use these systems. This diversity can result in inconsistencies in security practices and standards across platforms. Ensuring consistent security protocols and updates across a diverse range of devices can be difficult, potentially exposing vulnerabilities that malicious actors could exploit.
The increasing complexity of regulatory requirements and data security compliance standards may have an even greater impact on the market. Organizations must follow stringent data protection regulations, which can increase the costs and complexity of developing and maintaining secure embedded databases. The need to constantly update and audit security measures in order to comply with evolving regulations can put a strain on resources and potentially slow market growth.
The growing demand for relational databases is influencing the expansion of the embedded database management systems (DBMS) market. Relational databases, known for their structured data management capabilities, have become critical in a variety of industries, including finance, healthcare, and e-commerce. As organizations look for more efficient ways to handle and analyze large amounts of structured data, the demand for embedded DBMS solutions which are integrated directly into applications to provide real-time data access and manipulation-has increased. Embedded DBMS are particularly valued for their ability to provide high performance and reliability within embedded systems and applications, which is consistent with the larger trend of data-driven decision-making.
For instance, in July 2024, SQLite announced a major upgrade to its embedded database system, which improved support for SQL queries and transactions. This upgrade aims to improve performance and scalability, reflecting the growing complexity and volume of data that organizations must manage. Similarly, in June 2024, Oracle released a new version of its embedded DBMS, designed to better integrate with cloud environments and support advanced analytics, thereby meeting the changing needs of relational database users.
In March 2024, the US Department of Commerce announced a new initiative to encourage the use of advanced data management technologies, such as embedded DBMS, in small and medium-sized businesses (SMEs). This initiative includes grants and incentives to improve data management infrastructure, which are expected to drive additional growth in the embedded DBMS market. Such support emphasizes the importance of effective data management solutions and is consistent with the growing trend of incorporating sophisticated relational database technologies into embedded systems.
However, NoSQL Databases are the fastest-growing segment in the embedded DBMS market. This growth is driven by the increasing demand for flexibility, scalability, and the ability to handle unstructured or semi-structured data, which NoSQL databases excel at. Their adaptability to various data models and ease of integration with modern applications, particularly in IoT and big data environments, make them highly suitable for dynamic and data-intensive embedded systems. As more industries embrace big data analytics and real-time processing, the adoption of NoSQL databases is rapidly accelerating, positioning them as a key driver of growth in the market.
The growing use of consumer electronics is significantly driving the embedded database management systems (DBMS) market. Consumer electronics, including smartphones, smart home devices, and wearable technology, rely heavily on embedded systems to efficiently manage and process data. As these devices become more sophisticated and data-intensive, there is an increasing demand for robust embedded DBMS solutions that can handle real-time data transactions while maintaining seamless performance. Embedded database management systems (DBMSs) are essential in these applications because they provide localized data storage, quick access, and reliable management without the need for external database servers, which is critical for consumer electronics to operate smoothly.
In August 2024, Qualcomm announced a new line of processors that are optimized for embedded DBMS applications in consumer electronics. This new series includes improved support for real-time data processing, which is becoming increasingly important for modern devices that must handle complex tasks and large amounts of information.
Similarly, in July 2024, Samsung released a new version of its embedded database solution tailored to its line of smart home devices, with the goal of improving data management and user experience. These advancements demonstrate the industry's response to the growing demand for efficient data handling in consumer electronics.
Industrial automation is the fastest-growing segment. This growth is being driven by the rapid adoption of Industry 4.0 and smart manufacturing technologies, as industrial automation increasingly relies on embedded databases to manage massive amounts of data generated by sensors, machinery, and production systems. The demand for real-time data processing, analytics, and integration with other systems in industrial environments is driving the adoption of advanced embedded database solutions, transforming industrial automation into a key market growth area.
Country/Region-wise
Increasing investment in smart devices and edge computing in Asia Pacific is expected to drive significant growth in the Embedded Database Management Systems (DBMS) market. The region's rapid adoption of smart technologies and expansion of IoT applications necessitate robust and efficient embedded database solutions to manage the massive amounts of data generated and processed at the edge. As Asian companies continue to innovate and integrate advanced technologies into their products, the demand for high-performance embedded databases capable of real-time data management will increase.
In July 2024 Samsung Electronics announced a significant investment to improve its edge computing capabilities by integrating advanced embedded DBMS solutions into its smart devices and IoT platforms. This move aims to improve data processing speeds and real-time analytics, thereby meeting the growing demand for connected devices across multiple industries. Similarly, in June 2024, Alibaba Cloud introduced a new suite of edge computing services aimed at optimizing data management for IoT applications, driving up demand for embedded database solutions in the region.
In April 2024, the Chinese Ministry of Industry and Information Technology (MIIT) issued a new policy to encourage the development of edge computing and smart device technologies. This policy includes subsidies and assistance for technology companies that integrate advanced embedded DBMS solutions into their products. Such government support improves the infrastructure for smart devices and edge computing, hastening the growth of the Asia Pacific embedded database management system market.
Rapid technological advancements in North America are expected to drive the Embedded Database Management Systems (DBMS) market significantly. The region's robust infrastructure and innovative environment facilitate the development and implementation of advanced embedded database solutions. This expansion is fueled by the proliferation of Internet of Things (IoT) devices, smart technologies, and industrial automation, all of which necessitate high-performance, real-time data management systems. North America's strong emphasis on technological research and development ensures that the most recent advancements are quickly integrated into embedded DBMS solutions, thereby driving market growth.
In June 2024, Intel and Microsoft announced a strategic partnership to integrate their technologies, with the goal of improving embedded system performance and scalability. This collaboration focuses on optimizing database management in edge computing environments, demonstrating North America's leadership in the advancement of embedded DBMS technologies. Similarly, in July 2024, Google launched its Cloud IoT Core service, which is intended to help manage data efficiently across connected devices. This service demonstrates the region's commitment to creating cutting-edge solutions that will drive growth in the embedded DBMS market.
In May 2024, the US Department of Commerce announced a new funding program to support the development of IoT and edge computing technologies. This program encourages innovation in embedded systems, including DBMS solutions, by offering financial incentives and resources to technology companies. Such governmental support strengthens the region's ability to advance embedded database technologies and accelerates market growth.
The competitive landscape of the Embedded Database Management Systems (DBMS) market is characterized by a diverse range of players offering specialized solutions tailored to various industry needs. Companies in this market compete on factors such as performance, scalability, and integration capabilities to address the growing demand for embedded databases in applications like IoT devices, mobile applications, and industrial systems. Key trends include the increasing emphasis on real-time data processing and edge computing, driving innovations in lightweight and high-performance database solutions. Additionally, vendors are focusing on enhancing ease of integration and support for multiple platforms to meet the evolving needs of developers and businesses. The market also sees frequent collaborations and partnerships aimed at expanding product offerings and improving technological capabilities.
Some of the prominent players operating in the embedded database management systems market include:
Microsoft
IBM
Oracle
Centura Software
Software AG
PointBase
Raima, Inc.
McObject LLC
The HSQL Development Group
Google LLC
In August 2024, Microsoft released a new version of Azure SQL Edge, which improved its capabilities in IoT and edge computing environments. This update includes enhanced performance and scalability features specifically designed for embedded applications, reflecting Microsoft's commitment to expanding its embedded database solutions.
In July 2024, IBM announced an upgrade to its IBM Db2 Warehouse on Cloud, which now provides better integration with edge devices and faster data processing. This development is intended to meet the increasing demand for high-performance embedded databases in industrial IoT applications.
In May 2024, Redis Labs introduced RedisGraph, an extension to its in-memory database designed for real-time analytics in embedded systems. This development is aimed at industries that require fast, scalable graph databases for embedded applications, which will improve data processing capabilities.
In April 2024, SQLite released a significant update to its database engine, with a focus on improving support for mobile and IoT applications. The update improves performance and introduces new features to improve usability and efficiency in embedded database management for a variety of device applications.