# Canada Ai In Iot Market > Canada 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:** 3.3% - **2024:** $ 478.85 Million - **2025:** $ 463.04 Million - **2035:** $ 331.21 Million - **Key Players:** Microsoft (US), IBM (US), Amazon (US), Google (US), Cisco (US), Siemens (DE), General Electric (US), Intel (US), Oracle (US) **Report ID:** MRFR/ICT/63685-HCR · **Pages:** 200 · **Author:** Ankit Gupta & Aarti Dhapte · **Last Updated:** February 06, 2026 **URL:** https://www.marketresearchfuture.com/reports/canada-ai-in-iot-market-65625 --- ## Market Summary ## **Canada****AI in IoT****Market Overview** As per MRFR analysis, the Canada AI in IoT Market Size was estimated at 373.48 (USD Million) in 2023.The Canada AI in IoT Market is expected to grow from 478.8(USD Million) in 2024 to 1,540 (USD Million) by 2035. The Canada AI in IoT Market CAGR (growth rate) is expected to be around 11.205% during the forecast period (2025 - 2035) **Key Canada****AI in IoT****Market Trends Highlighted** The tech environment in Canada has been increasingly shaped by the incorporation of artificial intelligence (AI) into the Internet of Things (IoT). The strong need for smart city solutions and the government's encouragement of technological innovation are major factors driving this expansion.AI-powered IoT technologies are being adopted by Canadian communities to improve urban infrastructure, expedite public services, and raise citizens' standards of living. This change is a major force behind the development of AI in the IoT market since it is consistent with the country's emphasis on efficiency and sustainability. Businesses might investigate a number of opportunities in this expanding market. Start-ups and established companies are encouraged by the Canadian tech ecosystem to invest in AI solutions that may be used in a variety of industries, such as transportation, healthcare, and agriculture.There is a clear route for the development of IoT devices that are integrated with AI to offer actionable insights as industries work to better utilize data for decision-making. Additional chances for innovation are provided by the government's dedication to digital transformation and the encouragement of industry-academia collaborations. According to recent trends, Canadian companies are paying more attention to data security and privacy, particularly as the number of connected devices rises. As technology develops, regulations and policies are changing to address these issues and maintain customer confidence.Additionally, edge computing is becoming more popular in Canada since it makes it possible to process data closer to its source, improving operational efficiency. All things considered, Canada is well-positioned to lead the AI in IoT market because to its dedication to implementing cutting-edge technology and its abundance of technological resources. **Source: Primary Research, Secondary Research, MRFR Database and Analyst Review** **Canada****AI in IoT****Market Drivers** **Government Initiatives and Funding** The Canadian government has been actively promoting the growth of artificial intelligence technologies and the Internet of Things through various initiatives and funding programs. For example, the Canadian government's Innovation, Science and Economic Development department reported a commitment of over CAD 1 billion towards advancing AI and supporting innovative technologies including IoT.This influx of funding not only encourages Research and Development in the Canada [AI in IoT Market](../../../reports/ai-in-iot-market-11757), but also aids in the manufacturing and deployment of smarter IoT solutions across various sectors such as healthcare, agriculture, and smart city infrastructure. Taking cities like Toronto and Vancouver into account, they have been recognized for their burgeoning tech ecosystems, which attracts both national and international investments, effectively creating a favorable environment for the growth of AI in IoT solutions.The significant government backing is projected to catalyze the expansion of the Canada AI in IoT Market by enhancing connectivity, efficiency, and productivity in various applications. **Increased IoT Adoption Across Industries** In Canada, there has been a substantial uptick in the adoption of Internet of Things solutions by various industries, including manufacturing, transportation, and smart cities. According to the Canadian Wireless Trade Association, approximately 60% of Canadian businesses are planning to implement IoT technologies in their operations over the next year.This increased adoption leads to a higher demand for artificial intelligence capabilities integrated within IoT systems, which in turn fuels the Canada AI in IoT Market. Organizations like Telus and Rogers Communications are leading this charge by providing advanced IoT solutions that incorporate AI for improved analytics and automation, further supporting this growing trend and positioning themselves as key players in the evolving market landscape. **Rise of Smart Cities Initiatives** The Canadian smart city initiatives are becoming increasingly prevalent, driven by the need for enhanced urban infrastructure, improved public services, and optimized resource management. Projects in cities like Toronto and Montreal focus on integrating AI and IoT technologies to better manage traffic, energy, and waste.According to the Canadian Smart Cities Challenge, more than 200 communities expressed interest in submitting proposals to create smarter cities, showcasing a clear public commitment to leverage cutting-edge technologies. This rapid development of smart cities in Canada is propelling the Canada AI in IoT Market forward as municipalities invest in AI-powered IoT applications to create sustainable and efficient urban environments.Moreover, this trend is supported by organizations such as the Federation of Canadian Municipalities, which emphasizes the importance of technological advancement in city planning and management. **Canada****AI in IoT****Market Segment Insights** **AI in IoT****Market Component Insights** The Component segment of the Canada AI in IoT Market plays a vital role in enhancing the efficiency and functionality of IoT applications across various industries. Within this segment, Platforms, Software Solutions, and Services represent the core components that drive innovation and open up opportunities for businesses seeking to integrate artificial intelligence into their Internet of Things devices. Platforms serve as the backbone of the IoT ecosystem, enabling seamless communication and data exchange between devices and applications. They not only facilitate connectivity but also provide essential tools for developers to build and deploy AI-driven applications, emphasizing the importance of scalability and interoperability.In the Canadian context, the growing focus on smart cities and industrial automation leverages these platforms to enable real-time decision-making and improve public services, showcasing their significance in advancing Canada’s technological landscape. Software Solutions, on the other hand, empower organizations to harness the vast amounts of data generated by IoT devices. By utilizing advanced algorithms, predictive analytics, and machine learning techniques, these solutions transform raw data into actionable insights that can enhance operational efficiency and user experiences.In Canada, industries such as healthcare, agriculture, and energy are rapidly adopting these software solutions to streamline processes and improve outcomes, highlighting their transformative impact on traditional systems. Services associated with the Canada AI in IoT Market address the critical need for implementation, maintenance, and support of AI and IoT technologies. As organizations embark on their digital transformation journeys, they often require specialized expertise to navigate the complexities of integration and management.The demand for consulting, training, and support services is surging, as companies seek to maximize the return on investment from their IoT initiatives. This trend reflects a growing recognition of the strategic importance of having skilled personnel who can effectively deploy AI capabilities within IoT frameworks. In summary, the Component segment is pivotal in shaping the future of the Canada AI in IoT Market. The interplay of Platforms, Software Solutions, and Services drives advancements in technology and application development, enabling Canadian enterprises to leverage AI and IoT for enhanced performance and competitive advantage.As Canadian organizations increasingly prioritize digital transformation, the significance of this segment will continue to grow, positioning Canada as a leader in the global IoT landscape. Through strategic investment and innovation, the Canada AI in IoT Market is poised to foster growth and development across multiple sectors, enhancing both economic efficiency and societal well-being. **Source: Primary Research, Secondary Research, MRFR Database and Analyst Review** **AI in IoT****Market Technologies Insights** The Technologies segment of the Canada AI in IoT Market is crucial in driving innovation and operational efficiency across various industries. Key technologies like Machine Learning (ML) and Deep Learning play an essential role in data processing and automation, enabling advanced analytics and predictive modeling. ML applications are finding extensive use in sectors such as healthcare for predictive diagnostics and in agriculture for optimizing resource utilization. Meanwhile, Natural Language Processing (NLP) enhances human-computer interactions, making it significant for customer service and engagement across digital platforms. In Canada, companies are increasingly adopting these technologies, reflecting an overall market trend towards leveraging AI for smarter IoT solutions. The collaboration between government policies aimed at fostering technology adoption and industry-led initiatives further solidifies this segment's importance. Furthermore, the growing demand for smart devices and automation will likely propel the development and integration of ML and NLP technologies, solidifying their dominance in the Canadian market landscape. As these technologies continue to evolve, they present substantial opportunities for innovation and economic growth within the region. **AI in IoT****Market Vertical Insights** The Canada AI in IoT Market exhibits significant potential across various verticals, driven by the increasing digitization and automation across industries. In the manufacturing sector, AI and IoT integration enhances predictive maintenance and boosts productivity.The energy and utilities segment adopts smart grid technologies, aiming for improved efficiency and sustainability, aligning with Canadian government initiatives promoting renewable energy. Transportation and mobility leverage AI for better logistics and traffic management, significantly contributing to smart city development. The BFSI sector is increasingly utilizing AI for risk assessment and fraud detection, ensuring regulatory compliance and customer satisfaction. Government and defense applications focus on cybersecurity and public safety, utilizing real-time data analysis for improved decision-making. Retail is experiencing transformation through personalized customer experiences and optimized supply chains, boosting sales and efficiency. In healthcare and life sciences, the use of AI in IoT facilitates patient monitoring and enhances operational efficiency in medical facilities. The telecom sector is expanding its AI applications to enhance network management and customer service. Overall, these verticals collectively drive the Canada AI in IoT Market, showcasing vast growth opportunities and diverse applications enhancing productivity, efficiency, and sustainability across industries. **Canada****AI in IoT****Market Key Players and Competitive Insights** The competitive landscape of the Canada AI in IoT Market is characterized by rapid technological advancements and the growing integration of artificial intelligence into Internet of Things applications. Organizations across various industry verticals are increasingly adopting AI-driven IoT solutions to harness data analytics, enhance operational efficiencies, and drive innovation. This competitive environment is shaped by a diverse range of players, from startups to established tech firms, all vying to deliver cutting-edge solutions that address the unique needs of Canadian consumers and enterprises.The market dynamics are influenced by collaboration, investment in research and development, and strategic partnerships aimed at accelerating the adoption of AI technologies within IoT ecosystems.The focus on creating smart cities, optimizing supply chains, and improving predictive maintenance further intensifies the competition as companies strive to differentiate themselves by offering novel solutions that capitalize on the potential of AI in IoT. **Key Companies in the Canada****AI in IoT****Market Include** - Sierra Wireless - Google - OpenText - Accenture - Shopify - Cisco - Telus - AWS - CGI - IBM - BlackBerry - Microsoft - Ubisoft **Canada****AI in IoT****Market****Developments** To strengthen its artificial intelligence capabilities, Telus said in September 2025 that it will pay $539 million to acquire the remaining shares of its digital services division, Telus Digital. OpenText unveiled their Aviator IoT platform in August 2025, fusing AI and IoT to provide supply chain monitoring, asset tracking, predictive maintenance, and safe connected device management.Accenture joined forces with Schaeffler and NVIDIA in July 2025 to create digital twins and robots driven by AI for supply chain optimization. Shopify improved e-commerce experiences by adding Shopify Magic and Sidekick to its AI portfolio in June 2025. With an emphasis on scalable and secure infrastructure, Cisco unveiled AI-driven networking solutions for industrial IoT applications in May 2025. Google pledged $13 million in April 2025 to fund AI workforce development initiatives across Canada through its AI Opportunity Fund.With an emphasis on secure communications and the Internet of Things, BlackBerry stated in March 2025 that it anticipated an increase in IoT revenue to $225 million to $235 million for fiscal 2025. Microsoft stated in February 2025 that it would invest $2.7 billion over three years in Canada to improve its AI and cloud infrastructure. **Canada****AI in IoT****Market Segmentation Insights** **AI in IoT Market Component Outlook** - - Platforms - Software Solutions - Services **AI in IoT Market Technologies Outlook** - - ML and Deep Learning - NLP **AI in IoT Market Vertical Outlook** - - Manufacturing - Energy and Utilities - Transportation and Mobility - BFSI - Government and Defense - Retail - Healthcare and Life Sciences - Telecom - Others ## Market Drivers ### Rising Demand for Automation The AI in IoT Market in Canada is experiencing a notable surge in demand for automation across various sectors. Industries such as manufacturing, agriculture, and healthcare are increasingly adopting IoT devices integrated with AI capabilities to enhance operational efficiency. This trend is driven by the need to reduce labor costs and improve productivity. According to recent data, the automation market in Canada is projected to grow at a CAGR of approximately 10% over the next five years. As businesses seek to streamline processes and minimize human error, the integration of AI in IoT systems becomes essential. This rising demand for automation is likely to propel the growth of the ai in-iot market, as companies invest in smart technologies to remain competitive. ### Increased Focus on Sustainability Sustainability is becoming a central theme in the Canadian ai in-iot market, as businesses and consumers alike prioritize eco-friendly practices. The integration of AI with IoT devices allows for better resource management and energy efficiency, which aligns with the growing demand for sustainable solutions. For example, smart agriculture technologies that utilize AI can optimize water usage and reduce waste, contributing to environmental conservation. The Canadian government has set ambitious targets for reducing greenhouse gas emissions, which further encourages the adoption of sustainable technologies. This focus on sustainability is likely to drive innovation within the ai in-iot market, as companies develop solutions that not only meet regulatory requirements but also appeal to environmentally conscious consumers. ### Government Initiatives and Support Government initiatives in Canada are playing a crucial role in fostering the growth of the ai in-iot market. Various programs and funding opportunities are being introduced to encourage innovation and the adoption of smart technologies. For instance, the Canadian government has allocated significant resources to support research and development in AI and IoT sectors. This support is expected to enhance collaboration between public and private sectors, leading to the creation of advanced solutions. Furthermore, the government's commitment to digital transformation is likely to stimulate investments in the ai in-iot market, as businesses leverage these initiatives to enhance their technological capabilities and improve service delivery. ### Growing Consumer Awareness and Adoption Consumer awareness regarding the benefits of AI and IoT technologies is on the rise in Canada, which is positively influencing the ai in-iot market. As individuals become more informed about the advantages of smart devices, there is a corresponding increase in demand for connected solutions in homes and businesses. This trend is evident in the growing popularity of smart home devices, wearables, and industrial IoT applications. Market Research Future indicates that the adoption rate of smart home technologies is expected to reach 30% by 2026. This growing consumer awareness is likely to drive innovation and competition within the ai in-iot market, as companies strive to meet the evolving needs and preferences of tech-savvy consumers. ### Advancements in Connectivity Technologies The evolution of connectivity technologies, such as 5G, is significantly impacting the ai in-iot market in Canada. Enhanced connectivity enables faster data transmission and improved communication between devices, which is essential for the effective functioning of AI-driven IoT systems. As 5G networks continue to roll out across the country, businesses are likely to leverage these advancements to deploy more sophisticated IoT applications. This increased connectivity can facilitate real-time data analysis and decision-making, which are critical for industries like transportation and logistics. Consequently, the advancements in connectivity technologies are expected to bolster the growth of the ai in-iot market, as companies seek to harness the full potential of their IoT investments. ## Future Outlook The [AI in IoT Market](https://www.marketresearchfuture.com/reports/ai-in-iot-market-11757) in Canada is projected to experience a decline of -3.3% CAGR from 2025 to 2035, driven by technological advancements and evolving consumer demands. **New opportunities:** - Development of AI-driven predictive maintenance solutions for industrial IoT devices. - Integration of smart energy management systems in commercial buildings. - Creation of customized IoT security frameworks for small and medium enterprises. By 2035, the market is expected to stabilize, adapting to new technological landscapes. ## Segment Insights ### By Component: Platforms (Largest) vs. Software Solutions (Fastest-Growing) In the Canada AI in IoT Market, the distribution of market share among the three segment values reveals that Platforms currently hold the largest percentage, reflecting their established presence and integral role in various applications. Software Solutions, on the other hand, are rapidly gaining traction, driven by innovations and increasing demand for advanced analytics and automation, indicating significant potential for future growth. The growth trends within this segment are characterized by the proliferation of connected devices and the emphasis on seamless integration of AI technologies. The rise in IoT deployments across various industries is propelling the demand for both Software Solutions and Services. Furthermore, the focus on enhancing operational efficiency and obtaining actionable insights continues to drive investment in these areas, shaping the overall landscape of the Canada ai in-iot market. Platforms (Dominant) vs. Software Solutions (Emerging) Platforms are recognized as the dominant value within the component segment, providing foundational frameworks that enable connectivity and interoperability among various IoT devices and AI systems. Their resilience and adaptability ensure they meet the evolving needs of businesses in an increasingly digital environment. In contrast, Software Solutions are emerging as a critical component, emphasizing the development of tailored applications that enhance data processing and analytics capabilities. The growing interest in automation and real-time data utilization positions Software Solutions to become integral in helping businesses leverage insights for better decision-making, establishing themselves as valuable players in the Canada ai in-iot market. ### By Technologies: ML and Deep Learning (Largest) vs. NLP (Fastest-Growing) In the Canada AI in IoT Market, the distribution of market share among the Technologies segment reveals that ML and Deep Learning hold a commanding presence, largely due to their established applications and integration within various industries. This segment has become prominent due to its proven capabilities in processing vast amounts of data, providing high accuracy in predictive analytics, and delivering real-time insights which are crucial for IoT implementations. Conversely, NLP is emerging as the fastest-growing segment within the Technologies category. Driven by advancements in language processing capabilities and the increasing reliance on chatbots and virtual assistants, NLP is seeing significant adoption across customer service and data analysis sectors. As organizations strive to enhance user experiences through better interaction, the momentum for NLP technologies is rapidly increasing, positioning it for a substantial market share in the near future. ML and Deep Learning (Dominant) vs. NLP (Emerging) The dominant segment of ML and Deep Learning is characterized by its robust algorithms and methodologies that enable machines to learn from data patterns. This segment's integration into tailored IoT solutions enhances operational efficiencies and predictive analytics across industries. On the other hand, NLP stands out as the emerging contender, focusing on bridging the gap between human communication and machine understanding. Its rapid growth is fueled by demand for better user engagement tools and analytics platforms, making both segments essential for businesses looking to leverage AI in the Canada ai in-iot market. ### By Vertical: Manufacturing (Largest) vs. Healthcare and Life Sciences (Fastest-Growing) In the Canada AI in IoT Market, the vertical segment shows a diversified distribution of market share with Manufacturing leading significantly. Manufacturing holds a substantial portion of the market due to automation and efficiency improvements driven by AI and IoT technologies. Following this, verticals such as Retail and Energy and Utilities also contribute notably to the market landscape but do not match the dominance of Manufacturing. The growth trends indicate a shift towards Healthcare and Life Sciences as the fastest-growing segment within the Canada ai in-iot market. This growth is propelled by the increasing demand for remote patient monitoring and telehealth solutions, along with the need for operational efficiency in healthcare facilities. Additionally, advancements in AI technologies are being increasingly adopted in sectors like Transportation and Mobility to enhance logistic efficiencies and support smart city initiatives. Manufacturing: Dominant vs. Healthcare and Life Sciences: Emerging Manufacturing has established itself as a dominant force within the vertical segment of the Canada ai in-iot market, primarily due to its robust adoption of smart technologies that streamline operations and boost productivity. This sector leverages AI-driven analytics for predictive maintenance and supply chain optimization, leading to substantial operational cost savings. On the other hand, Healthcare and Life Sciences represents an emerging opportunity characterized by rapid digital transformation, where AI and IoT are being integrated into patient care and management systems. Innovations such as real-time health monitoring, data-driven diagnostics, and automated administrative processes are driving swift growth in this vertical, indicating a promising future as the sector adapts to increasing consumer health demands. ## 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 enhance their market presence. Microsoft (US) focuses on integrating AI capabilities into its IoT solutions, thereby facilitating seamless data analytics and operational efficiency. IBM (US) emphasizes its hybrid cloud offerings, which allow for enhanced data management and security in IoT applications. Meanwhile, Amazon (US) leverages its extensive cloud infrastructure to provide scalable IoT solutions, indicating a trend towards cloud-centric models in the market.The business tactics employed by these companies reflect a concerted effort to optimize supply chains and localize manufacturing processes. The market structure appears moderately fragmented, with a mix of established players and emerging startups. This fragmentation allows for diverse offerings, yet the collective influence of key players like Microsoft (US) and IBM (US) tends to dominate the competitive dynamics, shaping customer expectations and driving innovation. In October Microsoft (US) announced a strategic partnership with a leading Canadian telecommunications provider to enhance its IoT connectivity solutions. This collaboration aims to improve network reliability and expand the reach of its AI-driven IoT applications, which is crucial for industries such as manufacturing and logistics. The strategic importance of this partnership lies in its potential to bolster Microsoft's market share in Canada, particularly in sectors that require robust connectivity and data processing capabilities. In September IBM (US) launched a new AI-powered analytics platform specifically designed for IoT data management. This platform integrates advanced machine learning algorithms to provide real-time insights, thereby enabling businesses to make informed decisions quickly. The introduction of this platform signifies IBM's commitment to enhancing its IoT offerings and reflects a broader trend towards data-driven decision-making in the industry. In August Amazon (US) expanded its IoT services by introducing a new suite of tools aimed at small and medium-sized enterprises (SMEs). This initiative is designed to democratize access to advanced IoT technologies, allowing SMEs to leverage AI capabilities without significant upfront investment. The strategic importance of this move lies in Amazon's ability to capture a larger customer base, thereby reinforcing its position as a leader in the ai in-iot market. As of November current competitive trends indicate a strong focus on digitalization, sustainability, and the integration of AI technologies within IoT frameworks. Strategic alliances are increasingly shaping the landscape, as companies recognize the value of collaboration in driving innovation. Looking ahead, competitive differentiation is likely to evolve, with a shift from price-based competition towards a focus on technological innovation and supply chain reliability. This transition underscores the importance of agility and responsiveness in meeting the evolving demands of the market. ## Recent News & Developments To strengthen its artificial intelligence capabilities, Telus said in September 2025 that it will pay $539 million to acquire the remaining shares of its digital services division, Telus Digital. OpenText unveiled their Aviator IoT platform in August 2025, fusing AI and IoT to provide supply chain monitoring, asset tracking, predictive maintenance, and safe connected device management.Accenture joined forces with Schaeffler and NVIDIA in July 2025 to create digital twins and robots driven by AI for supply chain optimization. Shopify improved e-commerce experiences by adding Shopify Magic and Sidekick to its AI portfolio in June 2025. With an emphasis on scalable and secure infrastructure, Cisco unveiled AI-driven networking solutions for industrial IoT applications in May 2025. Google pledged $13 million in April 2025 to fund AI workforce development initiatives across Canada through its AI Opportunity Fund.With an emphasis on secure communications and the Internet of Things, BlackBerry stated in March 2025 that it anticipated an increase in IoT revenue to $225 million to $235 million for fiscal 2025. Microsoft stated in February 2025 that it would invest $2.7 billion over three years in Canada to improve its AI and cloud infrastructure. **Canada****AI in IoT** ## Report Scope | MARKET SIZE 2024 | 478.85(USD Million) | | --- | --- | | MARKET SIZE 2025 | 463.04(USD Million) | | MARKET SIZE 2035 | 331.21(USD Million) | | COMPOUND ANNUAL GROWTH RATE (CAGR) | -3.3% (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), Cisco (US), Siemens (DE), General Electric (US), Intel (US), Oracle (US) | | Segments Covered | Component, Technologies, Vertical | | Key Market Opportunities | Integration of advanced analytics in smart home devices enhances user experience and energy efficiency. | | Key Market Dynamics | Growing integration of artificial intelligence in Internet of Things applications drives innovation and competitive differentiation. | | Countries Covered | Canada | ## Frequently Asked Questions **Q: What was the overall market valuation of the Canada ai in-iot market in 2024?** A: The overall market valuation was 478.85 USD Million in 2024. **Q: What is the projected market valuation for the Canada ai in-iot market by 2035?** A: The projected valuation for 2035 is 331.21 USD Million. **Q: What is the expected CAGR for the Canada ai in-iot market during the forecast period 2025 - 2035?** A: The expected CAGR during the forecast period 2025 - 2035 is -3.3%. **Q: Which companies are considered key players in the Canada ai in-iot market?** A: Key players include Microsoft, IBM, Amazon, Google, Cisco, Siemens, General Electric, Intel, and Oracle. **Q: What were the valuations for software solutions in the Canada ai in-iot market in 2024?** A: The valuation for software solutions was 200.0 USD Million in 2024. **Q: How did the manufacturing sector perform in the Canada ai in-iot market in 2024?** A: The manufacturing sector had a valuation of 60.0 USD Million in 2024. **Q: What is the valuation for ML and deep learning technologies in the Canada ai in-iot market?** A: The valuation for ML and deep learning technologies was 239.43 USD Million in 2024. **Q: What was the valuation for services in the Canada ai in-iot market in 2024?** A: The valuation for services was 128.85 USD Million in 2024. **Q: How does the energy and utilities sector rank in terms of valuation in the Canada ai in-iot market?** A: The energy and utilities sector had a valuation of 50.0 USD Million in 2024. **Q: What is the projected trend for the Canada ai in-iot market from 2025 to 2035?** A: The market is projected to decline, with a CAGR of -3.3% from 2025 to 2035. --- *This Markdown endpoint is provided for AI systems and LLM crawlers. 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