# US AI in IoT Market > US AI in IoT Market Size, Share and Research Report: By Component (Platforms, Software Solutions, Services), By Technologies (ML and Deep Learning, NLP) and By Vertical (Manufacturing, Energy and Utilities, Transportation and Mobility, BFSI, Government and Defense, Retail, Healthcare and Life Sciences, Telecom, Others) - Industry Forecast to 2035 - **Forecast Period:** 2025 - 2035 - **CAGR:** 27.91% - **2024:** $ 2,800 Million - **2025:** $ 3,581.48 Million - **2035:** $ 42,000 Million - **Key Players:** Microsoft (US), IBM (US), Amazon (US), Google (US), Siemens (DE), Cisco (US), Intel (US), Oracle (US), SAP (DE) **Report ID:** MRFR/ICT/13332-HCR · **Pages:** 100 · **Author:** Apoorva Priyadarshi & Garvit Vyas · **Last Updated:** April 06, 2026 **URL:** https://www.marketresearchfuture.com/reports/us-ai-in-iot-market-14859 --- ## Market Summary ## **US AI in IoT Market Overview:** As per MRFR analysis, the US AI in IoT Market Size was estimated at 2.12 (USD Billion) in 2023. The US AI in IoT Market Industry is expected to grow from 2.85(USD Billion) in 2024 to 43 (USD Billion) by 2035. The US AI in IoT Market CAGR (growth rate) is expected to be around 27.982% during the forecast period (2025 - 2035). ## **Key US AI in IoT Market Trends Highlighted** In the US AI in IoT market, the integration of artificial intelligence in Internet of Things devices is gaining traction, reflecting a strong trend towards automation and improved efficiency. Companies are increasingly leveraging AI to analyze vast amounts of data gathered from IoT devices, which helps optimize operations across various sectors, including manufacturing, healthcare, and smart buildings. A key market driver for this growth is the need for predictive maintenance and real-time analytics, enabling businesses to reduce downtime and operational costs while enhancing productivity. Moreover, government initiatives aimed at promoting technological innovation in IoT, such as funding research and development projects, are further propelling market growth.Opportunities in the US AI in IoT market can be explored through the development of smart cities, where connected devices enhance public services and manage resources efficiently. For instance, cities are using IoT combined with AI for traffic management, waste management, and energy consumption monitoring. The increasing adoption of edge computing is also significant, as processing data closer to the source can improve response times and reduce bandwidth usage, which is critical in applications like autonomous vehicles. Recent trends indicate a shift towards more robust cybersecurity solutions as the number of connected devices increases, making them more vulnerable to cyber threats.Companies are investing in AI-driven security measures to protect sensitive data and maintain user trust. Additionally, there is a growing focus on interoperability among various IoT devices, allowing for smoother communication and integration. Overall, the US market reflects a dynamic landscape where the fusion of AI and IoT continues to evolve, presenting numerous opportunities for innovation and growth in the coming years. Source: Primary Research, Secondary Research, _Market Research Future_ Database and Analyst Review ## **US AI in IoT Market Drivers** ### **Increasing Demand for Smart Devices** The US AI in IoT Market Industry is experiencing a significant surge in the demand for smart devices, which is driving market growth. According to the Consumer Technology Association, over 500 million connected devices were in use in the United States in 2022, reflecting a rapid increase in consumer adoption of Internet of Things solutions. This growing demand for smart homes, wearables, and smart appliances is primarily fueled by advancements in artificial intelligence and machine learning, enabling these devices to offer enhanced functionality and seamless connectivity.Organizations like Amazon and Google are major players that have heavily invested in AI technologies for their IoT products, contributing to this increase by providing users with intuitive experiences. As technology continues to evolve, it is projected that the number of smart devices will double in the next few years, elevating the overall importance of AI in Internet of Things applications. ### **Government Initiatives and Funding** U.S. governmental policies and initiatives are significantly impacting the growth of the US AI in IoT Market Industry. The Federal Government has allocated substantial funding toward Research and Development programs for artificial intelligence and IoT integration, which is expected to drive innovation and commercialization of new technologies. For instance, the National Institute of Standards and Technology's ongoing efforts to establish a framework for IoT security and interoperability have paved the way for safer and more reliable IoT ecosystems.Such initiatives contribute to an expected growth in investments in AI-integrated IoT solutions, estimated to reach billions of dollars over the next several years, enhancing the U.S. position as a global leader in technology innovation. ### **Need for Enhanced Data Analytics** The growing quantity of data generated by IoT devices necessitates advanced data analytics solutions powered by artificial intelligence, propelling growth in the US AI in IoT Market Industry. Industry reports suggest that the volume of data generated from IoT devices could surpass 79.4 zettabytes by 2025, necessitating robust analytics tools that can process and analyze this data efficiently. Major technology firms, such as IBM and Microsoft, are investing in AI-driven analytics platforms that help organizations derive actionable insights from their IoT data.This is leading to better decision-making strategies in various sectors including smart cities, healthcare, and manufacturing, thus driving market adoption and innovation in AI integrated IoT solutions. ## **US AI in IoT Market Segment Insights:** ### **AI in IoT Market Component Insights** The Component segment of the US AI in IoT Market encompasses various critical elements, including Platforms, Software Solutions, and Services, each playing an indispensable role in shaping the technological landscape. Platforms serve as the foundational infrastructure, enabling seamless connectivity and interoperability among devices. They facilitate real-time data processing and analytics, significantly enhancing decision-making processes across industries. As businesses increasingly adopt IoT technologies, the demand for robust platforms that can handle large data volumes while ensuring security and scalability is on the rise. Software Solutions within this segment focus on providing specialized applications that leverage AI capabilities to streamline operations and improve efficiency. These solutions are pivotal for industries such as manufacturing, healthcare, and smart cities, where data-driven insights can lead to significant operational improvements and cost reductions. By employing advanced algorithms, organizations can predict maintenance needs, optimize resource allocation, and enhance customer experiences, making Software Solutions a vital component of the overall market strategy.Services, including Consulting, Integration, and Maintenance, are essential for the successful deployment and management of AI in IoT systems. They provide the necessary expertise for businesses looking to navigate the complexities of integrating AI with IoT. As companies seek to leverage these technologies, the provision of specialized services becomes crucial for ensuring that systems operate optimally and deliver the expected return on investment. Understanding the dynamics of this Component segment is essential for stakeholders aiming to capitalize on the growth and innovation within the US AI in IoT Market, as each category not only supports but also amplifies the capabilities of AI-driven IoT applications across various sectors. Source: Primary Research, Secondary Research, _Market Research Future_ Database and Analyst Review ### **AI in IoT Market Technologies Insights** The US AI in IoT Market is experiencing robust growth, primarily driven by advancements in Technologies such as Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP). The rapid integration of ML and Deep Learning into IoT devices enhances data analysis capabilities, allowing for more accurate predictions and real-time decision-making. Organizations are leveraging these technologies to optimize operations and improve customer experiences through personalized solutions. NLP, on the other hand, plays a crucial role in enabling natural interactions between users and IoT systems, resulting in more intuitive user interfaces and improved automation processes. The demand for these technologies is fueled by increasing data generation from IoT devices and the necessity for intelligent data processing. As companies aim to harness vast amounts of data effectively, Machine Learning and Deep Learning are emerging as significant contributors to market growth, offering the ability to derive actionable insights from complex datasets. Meanwhile, the ongoing evolution of NLP is facilitating the development of smarter and more responsive IoT applications, ultimately driving user engagement and satisfaction. The interplay of these technologies positions the US AI in IoT Market for continued expansion, as businesses seek to capitalize on the efficiencies and competitive advantages they offer. ### **AI in IoT Market Vertical Insights** The US AI in IoT Market has seen significant advancements within various verticals, showcasing expanding applications and the potential for further growth. Manufacturing is increasingly adopting AI-driven IoT solutions to enhance productivity through real-time monitoring and predictive maintenance, which contributes to operational efficiency. The Energy and Utilities sector employs these technologies to optimize resource usage and sustainability efforts, helping in tracking energy consumption and reducing waste. Transportation and Mobility benefit from AI in IoT for smart logistics and autonomous vehicles, improving safety and efficiency in urban mobility.In BFSI, these technologies are vital for fraud detection and customer service personalization. Government and Defense leverage AI and IoT for enhanced surveillance and resource management, playing a crucial role in national security. The Retail sector sees advancements in customer experience through personalized marketing and inventory management, while Healthcare and Life Sciences utilize AI for better patient monitoring and predictive health analytics. Telecom is focusing on expanding connectivity through IoT devices, leading to significant improvements in communication networks.Collectively, these verticals drive the market growth, reflecting a comprehensive adoption of AI technologies in everyday applications across various industries. ## **US AI in IoT Market Key Players and Competitive Insights:** The US AI in IoT Market presents a dynamic landscape characterized by rapid growth and continuous innovation. As artificial intelligence technologies increasingly integrate with the Internet of Things, various sectors are seeing transformative changes in operational efficiency, data processing, and predictive analytics. This confluence creates a highly competitive environment where companies strive to develop advanced solutions that promise improvements in user experience and cost effectiveness. Organizations are focusing on creating seamless interoperability amongst devices while harnessing the power of AI to analyze vast datasets efficiently. Consequently, both new entrants and established players compete vigorously to capture market share and establish leadership positions in this evolving domain.SAP stands out in the US AI in IoT Market primarily due to its robust enterprise resource planning solutions combined with its AI-driven analytics capabilities. This integration allows SAP to offer comprehensive services that enhance real-time data visibility and decision-making for businesses across various industries. SAP’s strength lies in its extensive portfolio of applications that improve the management of resources and operations through intelligent systems. Enhanced features such as predictive maintenance, asset monitoring, and supply chain optimization empower clients to utilize AI functionalities in conjunction with IoT technologies effectively. With a strong market presence, SAP positions itself strategically to meet the growing demand for intelligent IoT solutions, underscoring its commitment to driving innovation and operational excellence for businesses in the US.Bosch operates as a competitive force in the US AI in IoT Market, leveraging its expertise in industrial automation, smart home technology, and mobility solutions. Through a diverse range of products and services, including sensors, connectivity platforms, and advanced analytics, Bosch aims to create a cohesive ecosystem facilitating IoT applications. Its strengths lie in significant investments in research and development, which enable Bosch to innovate continuously and adapt to emerging technology trends. The company has pursued strategic partnerships and acquisitions to broaden its capabilities, enhancing its presence in smart cities and sustainable technologies within the US scope. Bosch's focus on delivering tailored IoT solutions underscores its commitment to improving efficiency and sustainability across multiple sectors, further solidifying its position as a leader in the competitive landscape of AI-driven IoT solutions. ## **Key Companies in the US AI in IoT Market Include:** ## **US AI in IoT Market Industry Developments** In recent months, the US AI in IoT Market has seen substantial advancements and developments. Companies like Microsoft have been enhancing their Azure IoT platform to integrate AI capabilities more effectively, which reflects a growing trend toward intelligent edge computing. Meanwhile, GE has been focusing on AI applications in industrial IoT, showcasing predictive maintenance solutions that could revolutionize manufacturing. Notably, Bosch has announced partnerships aimed at advancing smart home technologies with AI integration, signifying their commitment to this sector. In terms of merger and acquisition activity, Oracle's acquisition of Cerner in June 2022 aligns with their strategy to strengthen healthcare IoT solutions, further enhancing their AI capabilities in the sector. Furthermore, IBM's strategic focus on quantum computing for IoT applications and NVIDIA's advancements in AI-driven graphics processing units are driving growth in this market segment. The increasing incorporation of AI across various sectors is projected to boost the overall market valuation, reflecting a larger shift toward automation and smart technologies in the US. Over the past few years, the market has witnessed continuous investment from major players, collectively driving innovation and expanding the potential applications of AI in IoT. ## **US AI in IoT Market Segmentation Insights** ### **AI in IoT Market Component****Outlook** ### **AI in IoT Market Technologies****Outlook** ### **AI in IoT Market Vertical****Outlook** ## Market Drivers ### Advancements in AI Technologies Technological advancements in AI are significantly influencing the AI in IoT market. Innovations in machine learning, natural language processing, and computer vision are enabling more sophisticated data analysis and decision-making processes. For instance, the market for AI software is anticipated to surpass $126 billion by 2025, reflecting a growing reliance on AI to enhance IoT functionalities. These advancements facilitate real-time data processing and predictive analytics, which are crucial for optimizing operations across various sectors, including manufacturing, healthcare, and transportation. As organizations increasingly adopt AI-driven IoT solutions, the ai in-iot market is likely to experience accelerated growth. ### Rising Demand for Smart Devices The increasing consumer demand for smart devices is a pivotal driver in the AI in IoT market. As households and businesses seek to enhance efficiency and convenience, the integration of AI with IoT technologies becomes essential. In 2025, the market for smart home devices is projected to reach approximately $100 billion, indicating a robust growth trajectory. This surge is largely attributed to the proliferation of connected devices, which are expected to exceed 75 billion globally. Consequently, manufacturers are compelled to innovate and incorporate AI capabilities into their IoT products, thereby fostering a competitive landscape that propels the ai in-iot market forward. ### Increased Focus on Cybersecurity As the number of connected devices continues to rise, the focus on cybersecurity within the AI in IoT market is becoming increasingly critical. With an estimated 30 billion devices expected to be connected by 2030, the potential for cyber threats escalates. Organizations are prioritizing the integration of robust security measures into their IoT frameworks, which often involves AI-driven solutions for threat detection and response. The cybersecurity market is projected to reach $345 billion by 2026, indicating a strong correlation between the growth of IoT and the need for enhanced security. This heightened awareness of cybersecurity risks is likely to drive investments in the ai in-iot market. ### Government Initiatives and Funding Government initiatives aimed at promoting technological innovation are acting as a catalyst for the AI in IoT market. In the US, federal and state governments are investing heavily in smart city projects and digital infrastructure, with funding exceeding $50 billion in recent years. These initiatives not only enhance public services but also create a conducive environment for the adoption of AI and IoT technologies. By fostering collaboration between public and private sectors, these efforts are likely to stimulate research and development, thereby driving the growth of the ai in-iot market. The emphasis on smart infrastructure is expected to yield substantial economic benefits. ### Growing Adoption of Edge Computing The shift towards edge computing is emerging as a significant driver in the AI in IoT market. By processing data closer to the source, edge computing reduces latency and bandwidth usage, which is particularly beneficial for real-time applications. The edge computing market is expected to grow to $43 billion by 2027, reflecting its increasing importance in IoT ecosystems. This technology enables devices to operate more efficiently and enhances the overall performance of AI applications. As industries recognize the advantages of edge computing, its adoption is likely to accelerate, thereby propelling the growth of the ai in-iot market. ## Future Outlook The [AI in IoT Market](https://www.marketresearchfuture.com/reports/ai-in-iot-market-11757) is projected to grow at a 27.91% CAGR from 2025 to 2035, driven by advancements in AI technologies, increased connectivity, and demand for automation. **New opportunities:** - Development of AI-driven predictive maintenance solutions for industrial IoT devices. - Integration of AI analytics in smart home systems for enhanced user experience. - Creation of AI-powered supply chain optimization tools for real-time decision-making. By 2035, the ai in-iot market is expected to be a pivotal sector, reflecting robust growth and innovation. ## Segment Insights ### By Component: Software Solutions (Largest) vs. Platforms (Fastest-Growing) The US ai in-iot market's component segment sees Software Solutions taking the lead with the largest share. This segment's stronghold is largely attributed to the increasing adoption of AI-driven analytics, which enhances decision-making processes across various industries. On the other hand, Platforms are gaining traction as they facilitate integration and interoperability among IoT devices, captivating a new consumer base that is increasingly reliant on seamless connectivity. Growth trends in the component segment are driven by the continuous evolution of AI technologies and their applicability in IoT ecosystems. Notably, the demand for automated solutions is pushing Software Solutions higher, while Platforms are emerging rapidly due to their capacity for scalability and flexibility. As businesses seek to optimize operations and reduce costs, the convergence of these components is expected to intensify, shaping the market landscape in the foreseeable future. Software Solutions (Dominant) vs. Platforms (Emerging) Software Solutions have established themselves as a dominant force in the component segment, providing critical functionalities such as data analysis, security, and user interface design that enhance user experience. These solutions are tailored to meet specific industry needs, driving their widespread adoption across various sectors. Conversely, Platforms represent an emerging trend, characterized by their ability to unify disparate IoT devices, enabling them to operate cohesively. This integration is vital as it allows businesses to harness the full potential of IoT technologies, thus streamlining operations and creating new revenue opportunities. Both segment values complement one another, with Software Solutions bolstering the capabilities of Platforms to create a more robust US ai in-iot market. ### By Technologies: ML and Deep Learning (Largest) vs. NLP (Fastest-Growing) In the US ai in-iot market, ML and Deep Learning represent the largest share of the technologies segment, with a well-established presence owing to their extensive application across various industries. NLP, on the other hand, is rapidly gaining traction and is recognized as the fastest-growing area, fueled by the increasing demand for smarter and more interactive AI applications. This dynamic creates a competitive landscape that is continuously evolving. The growth trends in the technologies segment are propelled by advancements in algorithms and computing power. ML and Deep Learning benefit from their ability to process and learn from vast amounts of data, leading to improved accuracy in predictions and automation. Meanwhile, NLP is driven by the need for better human-computer interaction, as businesses look to provide more intuitive customer experiences through voice recognition and automated chatbots. Technology: ML and Deep Learning (Dominant) vs. NLP (Emerging) ML and Deep Learning are the dominant technologies in the segment, renowned for their ability to enhance data analysis capabilities and automate complex processes. Their robust algorithms, supported by extensive datasets, enable businesses to derive actionable insights and foster innovation. In contrast, NLP is emerging as a transformative technology within the US ai in-iot market, focusing on the interpretation and generation of human language by machines. This technology paves the way for more engaging user experiences, especially in applications such as virtual assistants and sentiment analysis. As companies increasingly adopt AI solutions, both segment values are critical for driving efficiency and transforming operational frameworks. ### By Vertical: Healthcare and Life Sciences (Largest) vs. Manufacturing (Fastest-Growing) In the US ai in-iot market, the distribution of market share among various verticals indicates that Healthcare and Life Sciences hold the largest share, supported by the increasing demand for enhanced patient care and data management solutions. Following closely, Manufacturing is emerging strongly, adopting AI and IoT technologies to optimize production processes and supply chain management. Growth trends within these segments show a significant acceleration, particularly in Manufacturing, driven by advancements in automation and smart factory initiatives. Healthcare continues to be a robust sector, propelled by an increasing focus on telehealth and real-time data analytics. These trends reflect the broader shift towards interconnected systems that enhance operational efficiency and service delivery across industries. Healthcare and Life Sciences: Dominant vs. Manufacturing: Emerging Healthcare and Life Sciences are characterized by their innovative adoption of AI and IoT technologies, enhancing patient care through real-time data analysis and improving operational efficiencies in medical facilities. This sector's market position is fortified by stringent regulations that necessitate advanced technologies for compliance and care quality. In contrast, Manufacturing is experiencing rapid growth as organizations invest in AI-driven automation to streamline operations and reduce costs. The embrace of IoT devices facilitates better asset management and predictive maintenance, marking this sector as an emerging powerhouse. Together, these segments illustrate the diverse applications and transformative potential of AI and IoT in enhancing both operational and clinical outcomes. ## Competitive Benchmarking The ai in-iot market is currently characterized by a dynamic competitive landscape, driven by rapid technological advancements and increasing demand for smart solutions across various sectors. Major players such as Microsoft (US), IBM (US), and Amazon (US) are strategically positioning themselves through innovation and partnerships, which collectively shape the competitive environment. Microsoft (US) focuses on enhancing its Azure IoT platform, integrating AI capabilities to provide more robust analytics and machine learning functionalities. Meanwhile, IBM (US) emphasizes its Watson IoT solutions, leveraging AI to optimize industrial operations and improve decision-making processes. Amazon (US), through its AWS IoT services, continues to expand its offerings, catering to a diverse clientele with scalable solutions that integrate seamlessly with existing infrastructures.The business tactics employed by these companies include localizing manufacturing and optimizing supply chains to enhance operational efficiency. The market structure appears moderately fragmented, with a mix of established players and emerging startups. This fragmentation allows for a variety of innovative solutions, although the collective influence of key players like Microsoft (US) and Amazon (US) tends to dominate market trends and customer preferences. In October Microsoft (US) announced a significant partnership with Siemens (DE) to develop advanced AI-driven IoT solutions for smart manufacturing. This collaboration aims to enhance operational efficiency and reduce downtime through predictive maintenance and real-time analytics. The strategic importance of this partnership lies in its potential to leverage both companies' strengths, thereby creating a more comprehensive solution for industrial clients. In September IBM (US) launched a new initiative focused on sustainability within its IoT offerings, integrating AI to help businesses monitor and reduce their carbon footprints. This move not only aligns with global sustainability goals but also positions IBM (US) as a leader in environmentally conscious technology solutions. The initiative is likely to attract clients who prioritize sustainability, thereby enhancing IBM's competitive edge in the market. In August Amazon (US) expanded its AWS IoT services by introducing new AI capabilities aimed at improving data security and operational resilience. This expansion is crucial as it addresses growing concerns regarding data privacy and security in IoT applications. By enhancing its service offerings, Amazon (US) reinforces its position as a key player in the ai in-iot market, appealing to businesses seeking reliable and secure solutions. As of November current competitive trends indicate a strong focus on digitalization, sustainability, and AI integration. Strategic alliances, such as those between Microsoft (US) and Siemens (DE), are shaping the landscape by fostering innovation and enhancing service offerings. Looking ahead, competitive differentiation is likely to evolve from traditional price-based competition to a focus on innovation, technology, and supply chain reliability. Companies that can effectively integrate these elements into their strategies will likely emerge as leaders in the ai in-iot market. ## Recent News & Developments In recent months, the US AI in IoT Market has seen substantial advancements and developments. Companies like Microsoft have been enhancing their Azure IoT platform to integrate AI capabilities more effectively, which reflects a growing trend toward intelligent edge computing. Meanwhile, GE has been focusing on AI applications in industrial IoT, showcasing predictive maintenance solutions that could revolutionize manufacturing. Notably, Bosch has announced partnerships aimed at advancing smart home technologies with AI integration, signifying their commitment to this sector. In terms of merger and acquisition activity, Oracle's acquisition of Cerner in June 2022 aligns with their strategy to strengthen healthcare IoT solutions, further enhancing their AI capabilities in the sector. Furthermore, IBM's strategic focus on quantum computing for IoT applications and NVIDIA's advancements in AI-driven graphics processing units are driving growth in this market segment. The increasing incorporation of AI across various sectors is projected to boost the overall market valuation, reflecting a larger shift toward automation and smart technologies in the US. Over the past few years, the market has witnessed continuous investment from major players, collectively driving innovation and expanding the potential applications of AI in IoT. ## Report Scope | MARKET SIZE 2024 | 2800.0(USD Million) | | --- | --- | | MARKET SIZE 2025 | 3581.48(USD Million) | | MARKET SIZE 2035 | 42000.0(USD Million) | | COMPOUND ANNUAL GROWTH RATE (CAGR) | 27.91% (2025 - 2035) | | REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends | | BASE YEAR | 2024 | | Market Forecast Period | 2025 - 2035 | | Historical Data | 2019 - 2024 | | Market Forecast Units | USD Million | | Key Companies Profiled | Microsoft (US), IBM (US), Amazon (US), Google (US), Siemens (DE), Cisco (US), Intel (US), Oracle (US), SAP (DE) | | Segments Covered | Component, Technologies, Vertical | | Key Market Opportunities | Integration of advanced analytics in the ai in-iot market enhances operational efficiency and decision-making capabilities. | | Key Market Dynamics | Rapid advancements in artificial intelligence are driving innovation and competition in the Internet of Things market. | | Countries Covered | US | ## Frequently Asked Questions **Q: What is the current market valuation of the US ai in-iot market as of 2025?** A: The market valuation of the US ai in-iot market is $2800.0 Million in 2024. **Q: What is the projected market size for the US ai in-iot market by 2035?** A: The projected market size for the US ai in-iot market is $42000.0 Million by 2035. **Q: What is the expected CAGR for the US ai in-iot market during the forecast period 2025 - 2035?** A: The expected CAGR for the US ai in-iot market during the forecast period 2025 - 2035 is 27.91%. **Q: Which companies are considered key players in the US ai in-iot market?** A: Key players in the US ai in-iot market include Microsoft, IBM, Amazon, Google, Siemens, Cisco, Intel, Oracle, and SAP. **Q: What are the main components of the US ai in-iot market?** A: The main components of the US ai in-iot market include Platforms, Software Solutions, and Services, with valuations of $560.0 Million, $1120.0 Million, and $1120.0 Million respectively. **Q: What technologies are driving the US ai in-iot market?** A: The technologies driving the US ai in-iot market include ML and Deep Learning, and NLP, each valued at $1400.0 Million. **Q: Which verticals are contributing to the US ai in-iot market growth?** A: Verticals contributing to the US ai in-iot market growth include Manufacturing, Energy and Utilities, Transportation and Mobility, BFSI, Government and Defense, Retail, Healthcare and Life Sciences, Telecom, and Others, each valued at $280.0 Million. **Q: How does the valuation of Software Solutions compare to other components in the US ai in-iot market?** A: Software Solutions, valued at $1120.0 Million, represent a substantial portion compared to Platforms at $560.0 Million and Services at $1120.0 Million. **Q: What is the significance of the projected growth from 2024 to 2035 for the US ai in-iot market?** A: The projected growth from $2800.0 Million in 2024 to $42000.0 Million by 2035 indicates a robust expansion in the US ai in-iot market. **Q: What role do major companies like Microsoft and IBM play in the US ai in-iot market?** A: Major companies like Microsoft and IBM are likely to lead innovation and development in the US ai in-iot market, influencing trends and technology adoption. --- *This Markdown endpoint is provided for AI systems and LLM crawlers. 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