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3. Google (US), IBM (US), Microsoft (US), Arm (UK) and NXP (The Netherlands) are leading players in Embedded AI Market

The embedded AI market is projected to expand at a 14.0% compound annual growth rate (CAGR) from USD 9.4 billion in 2023 to USD 18.0 billion by 2028. Embedded AI is a system that integrates artificial intelligence (AI) technologies into embedded systems that are designed for specific tasks or functions. It involves deploying AI algorithms, models, and software directly on embedded devices, such as microcontrollers, system-on-chips (SoCs), and other hardware platforms.

List of Top Embedded AI Companies in 2024 include

• IBM (US)
• Google (US)
• Microsoft (US)
• Arm (UK)
• NXP (The Netherlands)

To know about the assumptions considered for the study download the pdf brochure

IBM (US)

IBM is a leading cloud solution providersthat engages in the establishment of integrated solutions that leverage information technology and knowledge of business processes. The company operates through the following segments: Cloud & Cognitive Software, Global Business Services, Global Technology Services, Systems, and Global Financing. The Cloud & Cognitive Software segment provides combined and secure cloud, data, and solutions to customers. The Global Business Services segment provides clients consulting, application management, and global process services. The Global Technology Services segment offers comprehensive IT infrastructure and platform services that create business value for clients. The Systems segment provides clients with innovative infrastructure platforms to help meet the requirements of hybrid cloud and enterprise AI workload. The Global Financing segment encompasses two primary businesses: financing, primarily conducted through IBM Credit LLC. IBM offers a range of Embedded AI offerings in the market, providing organizations with the tools and technologies to incorporate artificial intelligence capabilities directly into their devices and systems. .. IBM offers companies with the tools they need to incorporate AI capabilities into their embedded systems, such as IBM Watson Assistant, IBM Power Ai Vision, IBM Watson Studio, and IBM Watson IoT Platform.  Moreover, these offerings from IBM provide organizations with the tools, platforms, and infrastructure necessary to develop, deploy, and manage embedded AI solutions. IBM’s Embedded AI offerings empower organizations to leverage AI capabilities directly within their devices and systems, enabling real-time inferencing, local data processing, and intelligent decision-making at the edge.

Google (US)

Google continues to make significant research and development investments and seeks to develop new, innovative offerings and improve existing offerings across its businesses. The company also invested in technical infrastructure, including servers, network equipment, and data centers, to support the growth of the business in support of AI. In addition, acquisitions and strategic investments contribute to the breadth and depth of the company’s offerings, expand its expertise in engineering and other functional areas, and allow the company to build strong partnerships. For example, in September 2022, Google closed the acquisition of Mandiant to help expand its offerings in dynamic cyber defense and response. The company has expanded its offerings to include TensorFlow Lite, Coral, and ML Kit products. Additionally, Google has invested in artificial intelligence and machine learning technologies, which have the potential to transform multiple industries. Google has been investing in hardware development, such as the Coral Dev Board, to provide more powerful and efficient processing capabilities for AI. Google has also collaborated with industry partners and developers to create a more open and accessible ecosystem for embedded AI.

Microsoft (US)

Microsoft is a major player in the Embedded AI market through its Azure for Edge platform. This cloud solution extends AI capabilities to devices with limited resources, offering both hardware and software tools to run AI models directly on those devices. This empowers real-time decision-making and increased efficiency for applications across various industries.

Arm (UK)

Arm (UK) is a key driver in the Embedded AI market. They design processors widely used in devices that benefit from AI. Their advantage lies in offering specialized tools and technologies to efficiently run AI models on their low-power processors. This makes Arm a leader in enabling AI capabilities for resource-constrained devices at the forefront of the Internet of Things (IoT).

NXP (Netherlands)

NXP (Netherlands) stands out in the Embedded AI market by providing a comprehensive toolkit for developers. They offer not only a range of processors specifically designed for embedded AI applications, but also software tools and development platforms. This one-stop shop empowers developers to create intelligent devices seamlessly, accelerating innovation in the embedded AI space.

Related Reports:

Embedded AI Market by Offering (Hardware, Software, Services), Data Type (Numerical Data, Categorical Data, Image & Video Data), Vertical (Automotive, Manufacturing, Healthcare & Life Sciences, Telecom), and Region - Global Forecast to 2028