PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 1364708
PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 1364708
Confidential Computing in IoT Security Market size was valued at USD 1,280.9 Million in 2022, expanding at a CAGR of 45.7% from 2023 to 2030.
Confidential computing is a new security solution for securing sensitive data while it is being handled by an application. Data can exist in three states at rest, in transit, and in use. As IoT devices process data closer to the edge (i.e., locally rather than in a centralized cloud), maintaining the security and integrity of that data becomes increasingly important. Confidential computing can safeguard data processing right at the edge, where it is generated. As data privacy regulations tighten, businesses will seek measures to maintain compliance. Confidential computing can help owners and makers of IoT devices assure customers and regulators that data is secure throughout its lifecycle.
Rising data security concerns among organizations expected to propel market demand.
As enterprises rapidly integrate IoT devices into their operations, whether in healthcare, manufacturing, transportation, or any other sector, the volume of sensitive data that these devices process and communicate grows tremendously. This enlargement directly increases the surface area available for possible attacks. Cybersecurity statistics indicate that there are 2,200 cyber-attacks per day, with a cyber-attack happening every 39 seconds on average. In the US, a data breach costs an average of USD 9.44 M, and cybercrime is predicted to cost USD 8 trillion by 2023. Furthermore, the rapid expansion of the IoT market, which spans sectors ranging from healthcare to automotive and home automation, creates a large landscape for the deployment of secure computing. It may provide growth opportunities for Confidential Computing in the IoT Security Market. However, Lack of Awareness hampers the market growth.
The Global Confidential Computing in IoT Security Market is segmented on the basis of Component, Deployment Mode, Enterprise Size, End-User, And Region.
The market is divided into three categories based on Components: Hardware, Software, and Service. The service segment dominates the market. Many firms want to know how to integrate secure computing into their existing IoT infrastructure. Consulting services are critical for grasping the subtleties of implementation and assuring the best match for a certain use case.
The market is divided into two categories based on Deployment Mode: On-Premise and Cloud. The cloud deployment segment dominates the market. The cloud provides a scalable framework for managing the massive amounts of data produced by IoT devices. Cloud infrastructures may be dynamically scaled to meet increased data volume as the number of devices increases.
The market is divided into two categories based on enterprise size: Large Enterprises and SMEs. Large Enterprises dominate the market and are likely to maintain their dominance during the forecast period. Large enterprises frequently deal with sensitive data, whether it is connected to corporate operations, intellectual property, or consumer information. A breach can have serious financial, reputational, and legal consequences.
The market is divided into six categories based on End-User: BFSI, Manufacturing, Retail and consumer Goods, Healthcare and life Science, IT and telecom, Government & Public Sector, and Others. Healthcare and life Science dominate the market. Healthcare and life sciences comprise a wide range of enterprises, from hospitals and diagnostic labs to pharmaceutical corporations and biotech research sites. Each of these entities relies on data, much of it sensitive, such as patient information, drug formulations, and clinical trial data.
Geographically, this market is widespread into the regions of North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa. These regions are further divided as per the nations bringing business. North America is expected to dominate the growth of Confidential Computing in the IoT Security market, due to Advanced IT infrastructure and the Adoption of confidential computing. North America has an advanced IT infrastructure that allows for the implementation of next-generation technology. Robust data centers, widespread cloud adoption, and well-established network technologies make modern security measures easier to integrate. the federal government provided just 25% of U.S. public infrastructure investment in 2017. The United States' spending as a percentage of GDP, at just 2.4%, ranked 13th globally in 2019. Among other countries, the U.S. fell behind France, Germany, Japan, Spain, the United Arab Emirates, and the United Kingdom. By 2040, U.S. numbers are expected to fall further, to 1.5%, according to American Infrastructure Statistics.
The competitive landscape of confidential computing in the IoT security industry is fast shifting as the IoT ecosystem expands and the importance of data security grows. Given that confidential computing can bring performance overhead owing to encryption and decryption operations, businesses that can reduce this while retaining strong security would be preferred. Competitors Focus on enterprise security by securing apps and data across different environments using enclave technology. For example, In Nov.2021, Microsoft Azure was the first major cloud provider to announce support for confidential computing. Earlier this year they became the cloud provider with the broadest support for confidential computing cloud services. Nowadays, they are announcing game-changing upgrades to the DC-series family with the public preview of DCsv3 and DCdsv3-series Azure Virtual Machines.
On 30 June 2023, VMware joined AMD, Samsung, and members of the RISC-V community to work on an open and cross-platform framework for the development and operation of applications using confidential computing hardware.
The scope of this report covers the market by its major segments, which include as follows: