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    AI in IoT Market Analysis

    ID: MRFR/ICT/10237-HCR
    128 Pages
    Ankit Gupta
    September 2025

    AI in IoT Market Research Report Information By Component (Platforms, Software Solutions, Services), By Technologies (ML and Deep Learning, NLP), By Vertical (Manufacturing, Energy and Utilities, Transportation and Mobility, BFSI, Government and Defense, Retail, Healthcare and Life Sciences, Telecom, and Others (Agriculture, Education, Telecom, And Tourism And Hospitality)), and By Region (Nort...

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    Market Analysis

    In-depth Analysis of AI in IoT Market Industry Landscape

    The internet of things (IoT) AI industry is growing. Market factors that demonstrate the transformational potential of AI and IoT are driving this expansion. The exponential growth of connected devices and the Internet of Things' massive data output are driving this development. As more devices are networked, this enormous data pool must be analyzed for insights. These include industrial sensors and smart home devices. All these gadgets are linked. Artificial intelligence (AI) can analyze enormous information and understand complicated patterns. This makes IoT devices smarter and improves decision-making. Increasing need for decision support systems and real-time data analysis is also driving AI application in the Internet of Things. The velocity and amount of data generated by Internet of Things devices may challenge standard analytics. AI systems, particularly machine learning models, excel in real-time data analysis. In predictive maintenance, AI-powered IoT devices may identify equipment problems before failures, saving downtime and lowering operational costs. Edge computing advances are driving AI-IoT convergence. Local data processing is needed as the number of Internet of Things devices at the network edge grows to reduce latency and bandwidth. Artificial intelligence algorithms at the edge allow Internet of Things devices to make intelligent decisions locally, removing the need for cloud server communication. Thus, this enhances IoT device performance and addresses data privacy and security concerns. The internet of things AI industry is also affected by the growing adoption of AI-driven solutions across industries. Businesses are rapidly using AI to improve operational efficiency, resource allocation, and innovative service delivery. In the Internet of Things (IoT), artificial intelligence algorithms let connected devices learn from data patterns, adapt to changing conditions, and deliver more tailored and context-aware services. AI in the internet of things makes smart homes, healthcare systems, and industrial settings smarter and more responsive, highlighting this versatility. Cost reduction and resource optimization are driving organizations to use AI in IoT for intelligent automation. Companies can automate boring tasks, monitor and regulate processes autonomously, and optimize energy use by integrating AI algorithms into IoT workflows. In smart manufacturing, AI-driven IoT systems may dynamically adjust production schedules based on real-time demand and equipment conditions. Operations are more efficient and waste is reduced. The regulatory climate is also helping the internet of things AI industry grow. As data privacy and security become more important, organizations are turning to AI to secure IoT installations. AI algorithms that detect and respond to security threats in real time may defend Internet of Things devices and networks against assaults. Organizations must build AI-driven security solutions in their Internet of Things ecosystems to meet these objectives.

    Market Summary

    As per Market Research Future Analysis, the AI in IoT Market is projected to grow from USD 13.64 billion in 2025 to USD 127.62 billion by 2034, with a CAGR of 28.20% during the forecast period. The market was valued at USD 10.64 billion in 2024. Key drivers include the need for real-time data analysis, reduced maintenance costs, and enhanced operational efficiency across various sectors. The software segment dominated the market in 2022, while healthcare and life sciences led the verticals. North America held the largest market share at 45.80% in 2022, driven by extensive AI and IoT adoption.

    Key Market Trends & Highlights

    The AI in IoT market is experiencing significant growth driven by technological advancements and increasing demand for real-time data processing.

    • Market size in 2022: USD 13.64 billion; projected to reach USD 127.62 billion by 2034.
    • CAGR of 28.20% from 2025 to 2034.
    • Healthcare and life sciences segment dominated in 2022.
    • North America accounted for 45.80% of the market share in 2022.

    Market Size & Forecast

    2024 Market Size USD 10.64 billion
    2025 Market Size USD 13.64 billion
    2034 Market Size USD 127.62 billion
    CAGR 28.20%.

    Major Players

    Key players include Cisco Systems, Inc., Verizon, Ericsson, Sierra Wireless, Orange Business Services, Telefónica, Huawei, Moeco, Telit, and Hologram.

    Market Trends

      • The pressing need for real-time analysis and monitoring of vast amounts of data is driving the market growth

    The urgent requirement for real-time analysis and monitoring of enormous volumes of data is one of the major factors driving the global Al in loT market. Customers and consumers want a distinctive experience, which is something that vendors in the Al in loT industry are anticipated to capitalise on. High demand for Al solutions in lot-related processes and devices is anticipated as a result. A staggering amount of data is coming in from IoT devices to both large and small businesses.

    Another important element fueling the expansion of the worldwide Al in lot market in the coming years is the requirement to lower maintenance costs in these processes.

    The Internet of Things (IoT) and artificial intelligence (AI) have the ability to completely change various economic sectors. Intelligent technologies that replicate intelligent behaviour and support decision-making with little to no human participation are produced by the Internet of Things (IoT) powered by AI. Artificial intelligence powered by the Internet of Things provides businesses and consumers with a number of advantages, including proactive intervention, individualised experiences, and intelligent automation.

    IoT technology is crucial for different organisations to undergo a digital transformation since it gives them the ability to improve current operations by developing and monitoring new business models. IoT has been viewed by businesses and service providers as a significant enabler for accelerating digital transformation and unlocking operational efficiency. IoT usage is rising as more businesses see it as crucial to their ability to succeed. The development of the global artificial intelligence sector has been significantly boosted in recent years by the increasing usage of digital technology and the internet.

    Technology advancements in a variety of industries are constantly fueled by the large R&D investments made by tech companies. 

    As an illustration, in June 2022, Viettel Group and NVIDIA signed a memorandum of understanding (MoU) to establish a strategic partnership to advance artificial intelligence (AI)-based technology research and solutions for Viettel and Vietnam. Viettel and NVIDIA would collaborate to hasten the development and use of Viettel's AI solutions in computer vision, robotics, natural language processing, digital twins, and other areas by using NVIDIA's high-performance computing systems and ecosystems. Thus, driving the AI in IoT market revenue.

    The integration of artificial intelligence within the Internet of Things ecosystem is poised to enhance operational efficiencies and drive innovation across various sectors, thereby transforming traditional business models.

    U.S. Department of Commerce

    AI in IoT Market Market Drivers

    Expansion of Smart Cities

    The Global AI in IoT Market Industry is significantly influenced by the expansion of smart cities worldwide. Urban areas are increasingly adopting IoT technologies to improve infrastructure, enhance public services, and promote sustainability. AI plays a pivotal role in analyzing data collected from various sensors, enabling city planners to make informed decisions. For example, AI algorithms can optimize traffic flow, reducing congestion and emissions. As governments invest in smart city initiatives, the demand for AI-integrated IoT solutions is expected to surge, contributing to the market's growth trajectory. This trend aligns with the broader vision of creating efficient, livable urban environments.

    Market Growth Projections

    The Global AI in IoT Market Industry is poised for substantial growth, with projections indicating a market value of 10.6 USD Billion in 2024 and an anticipated increase to 163.6 USD Billion by 2035. This remarkable growth trajectory reflects a compound annual growth rate of 28.23% from 2025 to 2035. The increasing integration of AI technologies into IoT applications across various sectors is likely to drive this expansion. As organizations recognize the potential of AI to enhance operational efficiency and decision-making, investments in AI-driven IoT solutions are expected to surge, shaping the future landscape of the industry.

    Growing Need for Data Security

    In the context of the Global AI in IoT Market Industry, the growing need for data security is becoming increasingly critical. As IoT devices proliferate, concerns regarding data breaches and cyber threats are rising. AI technologies are being integrated into IoT systems to enhance security measures, employing advanced analytics to detect anomalies and respond to threats in real-time. For instance, AI-driven security solutions can identify unusual patterns in network traffic, thereby preventing potential attacks. This focus on security is likely to drive investment in AI-enhanced IoT solutions, ensuring the protection of sensitive data and fostering consumer trust.

    Increased Demand for Automation

    The Global AI in IoT Market Industry experiences heightened demand for automation across various sectors, including manufacturing, healthcare, and transportation. Organizations are increasingly adopting AI-driven IoT solutions to streamline operations, reduce costs, and enhance productivity. For example, smart factories utilize AI algorithms to optimize production processes, leading to significant efficiency gains. This shift towards automation is anticipated to be a key driver of market growth, with projections indicating a rise to 163.6 USD Billion by 2035. The continuous push for operational efficiency suggests that AI in IoT will play a crucial role in shaping the future of industrial automation.

    Rapid Technological Advancements

    The Global AI in IoT Market Industry is propelled by rapid technological advancements in artificial intelligence and Internet of Things. Innovations in machine learning algorithms and data analytics are enhancing the capabilities of IoT devices, enabling them to process vast amounts of data in real-time. For instance, smart home devices now utilize AI to learn user preferences, improving energy efficiency and user experience. This trend is expected to contribute significantly to the market, which is projected to reach 10.6 USD Billion in 2024. As technology continues to evolve, the integration of AI in IoT applications is likely to expand, driving further growth.

    Rising Consumer Awareness and Adoption

    Consumer awareness regarding the benefits of AI in IoT is on the rise, driving adoption across various demographics. The Global AI in IoT Market Industry is witnessing increased interest from consumers who seek smart home devices, wearables, and connected appliances that enhance convenience and efficiency. As consumers become more informed about the capabilities of AI-driven IoT solutions, their willingness to invest in such technologies grows. This trend is likely to contribute to the market's expansion, as evidenced by the projected compound annual growth rate of 28.23% from 2025 to 2035. The evolving consumer landscape suggests a promising future for AI in IoT.

    Market Segment Insights

    AI in IoT Component Insights

    The AI in IoT Market segmentation, based on component, includes platforms, software solutions, and services. Software segment dominated the global market in 2022. Customers can get Al in loT software solutions from the majority of major providers. These software programmes are made to manage huge amounts of data, together with its security and privacy, and to address interoperability issues brought on by various heterogeneous devices. They provide flexibility to manage diverse business processes successfully while assisting in the mitigation of interoperability difficulties.

    AI in IoT Technologies Insights

    The AI in IoT Market segmentation, based on technologies, includes ML and deep learning and NLP. ML and deep learning segment dominated the global market in 2022. ML has the potential to develop into a powerful analytical tool for massive data sets. The majority of the noise gathered by IoT devices can be filtered using ML and edge computing, leaving the pertinent data for edge and cloud analytical engines to process.

    Figure 2: AI in IoT Market, by Technologies, 2022 & 2032 (USD Billion)

    Technologies: Secondary Research, Primary Research, MRFR Database and Analyst Review

    AI in IoT Vertical Insights

    The AI in IoT Market segmentation, based on vertical, includes manufacturing, energy and utilities, transportation and mobility, BFSI, government and defense, retail, healthcare and life sciences, telecom, and others (agriculture, education, telecom, and tourism and hospitality). Healthcare and life sciences dominated the AI in IoT Market in 2022. By gathering and analysing high-frequency Internet of Things (IoT) sensor data and computer vision (AI), healthcare organisations can enhance human performance on jobs like making diagnostic or therapeutic judgements, assisting clinicians in treating diseases, etc. 

    The combination of IoT and AI technologies (IoT) has the potential to significantly improve routine physical examinations of mobility and balance in healthcare. Care practitioners can streamline evaluation with IoT by taking fewer steps while ensuring that the test is quantitative, reliable, and consistent.

    Hospitals, clinics, pharmaceutical companies, and academic institutions that test and store vaccines, including COVID-19 vaccines, still lack visibility into the status and operation of their refrigerators. As a result, IoT-based predictive maintenance for vaccination logistics and safety is becoming more and more necessary. Additionally, IoT can decrease the need for follow-up visits, shorten wait times, identify essential patients, and track medical equipment. It can also enhance diagnostic accuracy and remote patient monitoring.

    Get more detailed insights about AI in IoT Market Research Report—Global Forecast till 2034

    Regional Insights

    By region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. The North America AI in IoT Market dominated this market in 2022 (45.80%). This is due to the widespread implementation of AI and IoT technologies in numerous industries, including manufacturing, retail, healthcare, automotive and transportation, and so on. This is one of the factors driving the expansion of the market under study in this area. One of the top regions for research into creating IoT and AI applications for brand-new end-user sectors is North America.

    As of 2022, the United States and Canada have the greatest average per capita device and connection counts, according to Cisco. Further, the U.S. AI in IoT market held the largest market share, and the Canada AI in IoT market was the fastest growing market in the North America region.

    Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

    Figure 3: AI IN IOT MARKET SHARE BY REGION 2022 (USD Billion)

    AI IN IOT MARKET SHARE BY REGION

    Technologies: Secondary Research, Primary Research, MRFR Database and Analyst Review

    Europe AI in IoT market accounted for the healthy market share in 2022. Due to significant government investments in the sector, the area has a great deal of potential for vendors to expand. Europe also benefits from the existence of top players, which supports the Al in loT market there. Further, the German AI in IoT market held the largest market share, and the U.K AI in IoT market was the fastest growing market in the European region

    The Asia Pacific AI in IoT market is expected to register significant growth from 2023 to 2032. The market in this area is being fueled by the resources that both public and private sector organisations are allocating to the growth of this discipline. Moreover, China’s AI in IoT market held the largest market share, and the Indian AI in IoT market was the fastest growing market in the Asia-Pacific region.

    Key Players and Competitive Insights

    Leading market players are investing heavily in research and development in order to expand their product lines, which will help the AI in IoT market, grow even more. Market participants are also undertaking a variety of strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, AI in IoT industry must offer cost-effective items.

    Manufacturing locally to minimize operational costs is one of the key business tactics used by manufacturers in the global AI in IoT industry to benefit clients and increase the market sector. In recent years, the AI in IoT industry has offered some of the most significant advantages to medicine. Major players in the AI in IoT market, including Cisco Systems, Inc., Verizon, Ericsson, Sierra Wireless, Orange Business Services, Telefónica, Huawei, Moeco, Telit, and Hologram, are attempting to increase market demand by investing in research and development operations.

    Microsoft Corp. (Microsoft) offers a variety of software-related services, including development, licencing, and support. The company offers a wide range of server applications, desktop and server administration tools, video games, cross-device productivity tools, business solution tools, and operating systems. It also offers training and certification services. It also develops, manufactures, and sells hardware products like PCs, tablets, game consoles, and other cutting-edge technology. 

    The company offers a wide range of services, such as consultancy, cloud-based solutions, and solution support. Through original equipment manufacturers, distributors, resellers, online marketplaces, Microsoft stores, and other partner channels, Microsoft promotes, distributes, and sells its products. The company has operations throughout the Middle East, Africa, the Americas, Europe, and Asia-Pacific. Microsoft's main office is in Redmond, Washington, in the United States. Microsoft announced pre-orders for the Surface Laptop 5 and Surface Pro 9 in November 2022.

    With this, the firm unveiled its vision for the next iteration of the Windows PC, one in which the PC and the cloud merge and make use of cutting-edge AI technologies to enable novel experiences.

    A subsidiary of Amazon.com, Inc., Amazon Web Services Inc (AWS) offers cloud computing services. In addition to computing, storage, databases, networking, analytics, mobile, developer tools, augmented reality, virtual reality, robotics, game tech, machine learning, management tools, content delivery, media services, customer engagement, app streaming, and security, identity, and compliance, the company also provides a wide range of cloud infrastructure services. 

    AWS serves a wide variety of industries, including the automotive, digital marketing, telecommunications, education, government, retail, financial services, media and entertainment, gaming, consumer packaged goods (CPG), health and life sciences, oil and gas, power and utilities, and non-profit sectors. In November 2022, AWS IoT Core announced the introduction of AWS IoT Core Device Location. Utilising location information from IoT devices, such as latitude and longitude coordinates, this new functionality enables users to track and control them.

    Key Companies in the AI in IoT Market market include

    Industry Developments

    • Q2 2024: Infineon Technologies and Synaptics Announce Strategic Partnership to Accelerate AI-Enabled IoT Solutions Infineon Technologies and Synaptics announced a strategic partnership to jointly develop AI-enabled IoT solutions, combining Infineon's hardware with Synaptics' AI software to accelerate deployment of intelligent edge devices.
    • Q2 2024: Edge Impulse Raises $60 Million Series B to Expand AI for IoT Devices Edge Impulse, a platform for developing AI on IoT devices, secured $60 million in Series B funding to accelerate product development and expand its global reach in the AI-powered IoT sector.
    • Q2 2024: Siemens launches new AI-powered IoT platform for industrial automation Siemens introduced a new AI-powered IoT platform designed to enhance industrial automation, enabling real-time data analytics and predictive maintenance for manufacturing clients.
    • Q3 2024: Amazon Web Services Unveils AI-Driven IoT Security Suite Amazon Web Services launched a new AI-driven IoT security suite aimed at helping enterprises detect and respond to threats across connected devices using machine learning algorithms.
    • Q3 2024: FogHorn acquired by Johnson Controls to boost AI at the edge for smart buildings Johnson Controls acquired FogHorn, a provider of edge AI software for industrial and commercial IoT, to strengthen its smart building solutions with advanced AI analytics at the edge.
    • Q3 2024: Bosch and Microsoft Expand Partnership to Integrate AI into IoT Devices Bosch and Microsoft announced an expanded partnership to integrate Microsoft's Azure AI services into Bosch's IoT devices, aiming to deliver smarter connected products for industrial and consumer markets.
    • Q4 2024: Arm Launches New AI-Optimized IoT Chipset for Edge Devices Arm introduced a new AI-optimized chipset designed specifically for IoT edge devices, enabling more efficient on-device machine learning and analytics.
    • Q4 2024: Samsung Electronics Opens New AIoT Research Center in Singapore Samsung Electronics opened a new research center in Singapore focused on developing AIoT (Artificial Intelligence of Things) technologies for smart home and industrial applications.
    • Q1 2025: ABB and Nvidia partner to bring AI to industrial IoT systems ABB and Nvidia announced a partnership to integrate Nvidia's AI computing technology into ABB's industrial IoT systems, aiming to improve automation and predictive maintenance capabilities.
    • Q1 2025: Tuya Smart Announces Strategic Collaboration with Google Cloud to Advance AI in IoT Tuya Smart entered a strategic collaboration with Google Cloud to leverage AI and cloud computing for enhancing IoT device intelligence and interoperability.
    • Q2 2025: Honeywell Launches AI-Driven IoT Platform for Smart Energy Management Honeywell launched a new AI-driven IoT platform designed to optimize energy management in commercial buildings, using machine learning to analyze and control energy consumption.
    • Q2 2025: Cisco acquires IoT security startup VDOO to enhance AI-based device protection Cisco completed the acquisition of VDOO, an IoT security startup, to bolster its AI-based security offerings for connected devices across enterprise networks.

    Future Outlook

    AI in IoT Market Future Outlook

    The AI in IoT Market is projected to grow at 28.23% CAGR from 2024 to 2035, driven by advancements in machine learning, increased connectivity, and demand for automation.

    New opportunities lie in:

    • Develop AI-driven predictive maintenance solutions for industrial IoT applications.
    • Create smart home devices that leverage AI for enhanced user experience.
    • Implement AI algorithms for real-time data analytics in smart cities.

    By 2035, the AI in IoT Market is expected to be a pivotal sector, driving innovation and efficiency globally.

    Market Segmentation

    AI in IoT Regional Outlook

    North America
    • US
    • Canada

    AI in IoT Vertical Outlook

    • Manufacturing
    • Energy and Utilities
    • Transportation and Mobility
    • BFSI
    • Government and Defense
    • Retail
    • Healthcare and Life Sciences
    • Telecom
    • Others (agriculture, education, telecom, and tourism and hospitality)

    AI in IoT Component Outlook

    • Platforms
    • Software Solutions
    • Services

    AI in IoT Technologies Outlook

    • ML and Deep Learning
    • NLP

    Report Scope

    Report Attribute/Metric Details
    Market Size 2024 10.64 (USD Billion)
    Market Size 2025 13.64 (USD Billion)
    Market Size 2034 127.62 (USD Billion)
    Compound Annual Growth Rate (CAGR) 28.20% (2025 - 2034)
    Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year 2024
    Market Forecast Period 2025 - 2034
    Historical Data 2019 - 2023
    Market Forecast Units USD Billion
    Segments Covered Component, Technologies, Vertical, and Region
    Geographies Covered North America, Europe, Asia Pacific, and the Rest of the World
    Countries Covered The U.S., Canada, German, France, U.K, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
    Key Companies Profiled Cisco Systems, Inc., Verizon, Ericsson, Sierra Wireless, Orange Business Services, Telefónica, Huawei, Moeco, Telit, and Hologram
    Key Market Opportunities Real time monitoring to deliver an exceptional customer experience
    Key Market Dynamics Effective management of data generated from IoT devices to gain valuable insights and reduced maintenance cost and downtime

    Market Highlights

    Author

    Ankit Gupta
    Senior Research Analyst

    She holds an experience of about 6+ years in market research and business consulting, working under the spectrum of information communication technology, telecommunications and semiconductor domains. aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

    Leave a Comment

    Latest Comments

    John Doe

    This is a great article! Really helped me understand the topic better.

    Posted on July 23, 2025, 10:15 AM
    Jane Smith

    Thanks for sharing this. I’ve bookmarked it for later reference.

    Posted on July 22, 2025, 7:45 PM

    FAQs

    How much is the AI in IoT market?

    The AI in IoT Market size was valued at USD 10.64 Billion in 2024.

    What is the growth rate of the AI in IoT market?

    The global market is projected to grow at a CAGR of 28.20% during the forecast period, 2025-2034.

    Which region held the largest market share in the AI in IoT market?

    North America had the largest share in the global market

    Who are the key players in the AI in IoT market?

    The key players in the market are Cisco Systems, Inc., Verizon, Ericsson, Sierra Wireless, Orange Business Services, Telefónica, Huawei, Moeco, Telit, and Hologram

    Which Component led the AI in IoT market?

    The Software Solutions Component dominated the market in 2024.

    Which Technologies had the largest market share in the AI in IoT market?

    The ML and Deep Learning Technologies had the largest share in the global market.

    1. EXECUTIVE SUMMARY
    2. MARKET INTRODUCTION
      1. Definition
      2. Scope of the Study
        1. Research Objective
        2. Assumptions
        3. Limitations
    3. RESEARCH METHODOLOGY
    4. Overview
      1. Data Mining
      2. Secondary Research
      3. Primary Research
        1. Primary Interviews and Information Gathering Process
        2. Breakdown
    5. of Primary Respondents
      1. Forecasting Model
      2. Market Size Estimation
        1. Bottom-Up Approach
        2. Top-Down Approach
      3. Data Triangulation
      4. Validation
    6. MARKET DYNAMICS
      1. Overview
      2. Drivers
      3. Restraints
      4. Opportunities
    7. MARKET FACTOR ANALYSIS
    8. Value Chain Analysis
      1. Porter’s Five Forces Analysis
        1. Bargaining
    9. Power of Suppliers
      1. Bargaining Power of Buyers
        1. Threat of
    10. New Entrants
      1. Threat of Substitutes
        1. Intensity of Rivalry
      2. COVID-19 Impact Analysis
        1. Market Impact Analysis
    11. Regional Impact
      1. Opportunity and Threat Analysis
    12. GLOBAL AI IN
    13. IOT MARKET, BY COMPONENT
      1. Overview
      2. Platforms
      3. Software
    14. Solutions
      1. Services
    15. GLOBAL AI IN IOT MARKET, BY TECHNOLOGIES
      1. Overview
      2. ML and Deep Learning
      3. NLP
    16. GLOBAL AI
    17. IN IOT MARKET, BY VERTICAL
      1. Overview
      2. Manufacturing
    18. Energy and Utilities
      1. Transportation and Mobility
      2. BFSI
    19. Government and Defense
      1. Retail
      2. Healthcare and Life Sciences
      3. Telecom
      4. Others (agriculture, education, telecom, and tourism and
    20. hospitality)
    21. GLOBAL AI IN IOT MARKET, BY REGION
      1. Overview
    22. North America
      1. U.S.
        1. Canada
      2. Europe
        1. Germany
        2. France
        3. U.K
        4. Italy
        5. Spain
    23. Rest of Europe
      1. Asia-Pacific
        1. China
        2. India
    24. Japan
      1. South Korea
        1. Australia
        2. Rest of Asia-Pacific
      2. Rest of the World
        1. Middle East
        2. Africa
    25. Latin America
    26. COMPETITIVE LANDSCAPE
      1. Overview
      2. Competitive
    27. Analysis
      1. Market Share Analysis
      2. Major Growth Strategy in the
    28. Global AI in IoT Market,
      1. Competitive Benchmarking
      2. Leading
    29. Players in Terms of Number of Developments in the Global AI in IoT Market,
    30. Key developments and Growth Strategies
      1. New Component Launch/Technologies
    31. Deployment
      1. Merger & Acquisitions
        1. Joint Ventures
      2. Major Players Financial Matrix
        1. Sales & Operating Income,
        2. Major Players R&D Expenditure. 2022
    32. COMPANY PROFILES
      1. Cisco Systems, Inc.
        1. Company Overview
        2. Financial
    33. Overview
      1. Product Offered
        1. Key Developments
    34. SWOT Analysis
      1. Key Strategies
      2. Verizon
        1. Company
    35. Overview
      1. Financial Overview
        1. Product Offered
    36. Key Developments
      1. SWOT Analysis
        1. Key Strategies
    37. Ericsson
      1. Company Overview
        1. Financial Overview
    38. Product Offered
      1. Key Developments
        1. SWOT Analysis
    39. Key Strategies
      1. Sierra Wireless
        1. Company Overview
    40. Financial Overview
      1. Product Offered
        1. Key Developments
        2. SWOT Analysis
        3. Key Strategies
      2. Orange Business Services
        1. Company Overview
        2. Financial Overview
        3. Product
    41. Offered
      1. Key Developments
        1. SWOT Analysis
        2. Key
    42. Strategies
      1. TELEFÓNICA
        1. Company Overview
    43. Financial Overview
      1. Product Offered
        1. Key Developments
        2. SWOT Analysis
        3. Key Strategies
      2. Huawei
    44. Company Overview
      1. Financial Overview
        1. Product Offered
        2. Key Developments
        3. SWOT Analysis
        4. Key Strategies
      2. Moeco
        1. Company Overview
        2. Financial Overview
    45. Product Offered
      1. Key Developments
        1. SWOT Analysis
    46. Key Strategies
      1. Telit
        1. Company Overview
        2. Financial
    47. Overview
      1. Product Offered
        1. Key Developments
    48. SWOT Analysis
      1. Key Strategies
      2. Hologram
        1. Company
    49. Overview
      1. Financial Overview
        1. Product Offered
    50. Key Developments
      1. SWOT Analysis
        1. Key Strategies
      2. References
      3. Related Reports
    51. LIST
    52. OF TABLES
    53. GLOBAL AI IN IOT MARKET, ESTIMATES & FORECAST, 2018-2032 (USD BILLION)
    54. GLOBAL AI IN IOT MARKET, BY COMPONENT, 2018-2032 (USD BILLION)
    55. AI IN IOT MARKET, BY TECHNOLOGIES, 2018-2032 (USD BILLION)
    56. IN IOT MARKET, BY VERTICAL, 2018-2032 (USD BILLION)
    57. IN IOT MARKET, BY COMPONENT, 2018-2032 (USD BILLION)
    58. AI IN IOT MARKET, BY TECHNOLOGIES, 2018-2032 (USD BILLION)
    59. AI IN IOT MARKET, BY VERTICAL, 2018-2032 (USD BILLION)
    60. AI IN IOT MARKET, BY COUNTRY, 2018-2032 (USD BILLION)
    61. MARKET, BY COMPONENT, 2018-2032 (USD BILLION)
    62. BY TECHNOLOGIES, 2018-2032 (USD BILLION)
    63. VERTICAL, 2018-2032 (USD BILLION)
    64. 2032 (USD BILLION)
    65. 2032 (USD BILLION)
    66. (USD BILLION)
    67. BILLION)
    68. BILLION)
    69. GERMANY AI IN IOT MARKET, BY COMPONENT, 2018-2032 (USD BILLION)
    70. GERMANY AI IN IOT MARKET, BY TECHNOLOGIES, 2018-2032 (USD BILLION)
    71. GERMANY AI IN IOT MARKET, BY VERTICAL, 2018-2032 (USD BILLION)
    72. AI IN IOT MARKET, BY COMPONENT, 2018-2032 (USD BILLION)
    73. IN IOT MARKET, BY TECHNOLOGIES, 2018-2032 (USD BILLION)
    74. IN IOT MARKET, BY VERTICAL, 2018-2032 (USD BILLION)
    75. MARKET, BY COMPONENT, 2018-2032 (USD BILLION)
    76. BY TECHNOLOGIES, 2018-2032 (USD BILLION)
    77. VERTICAL, 2018-2032 (USD BILLION)
    78. 2032 (USD BILLION)
    79. (USD BILLION)
    80. BILLION)
    81. U.K AI IN IOT MARKET, BY VERTICAL, 2018-2032 (USD BILLION)
    82. OF EUROPE AI IN IOT MARKET, BY COMPONENT, 2018-2032 (USD BILLION)
    83. REST OF EUROPE AI IN IOT MARKET, BY TECHNOLOGIES, 2018-2032 (USD BILLION)
    84. REST OF EUROPE AI IN IOT MARKET, BY VERTICAL, 2018-2032 (USD BILLION)
    85. ASIA PACIFIC AI IN IOT MARKET, BY COMPONENT, 2018-2032 (USD BILLION)
    86. ASIA PACIFIC AI IN IOT MARKET, BY TECHNOLOGIES, 2018-2032 (USD BILLION)
    87. ASIA PACIFIC AI IN IOT MARKET, BY VERTICAL, 2018-2032 (USD BILLION)
    88. ASIA PACIFIC AI IN IOT MARKET, BY COUNTRY, 2018-2032 (USD BILLION)
    89. JAPAN AI IN IOT MARKET, BY COMPONENT, 2018-2032 (USD BILLION)
    90. AI IN IOT MARKET, BY TECHNOLOGIES, 2018-2032 (USD BILLION)
    91. IN IOT MARKET, BY VERTICAL, 2018-2032 (USD BILLION)
    92. MARKET, BY COMPONENT, 2018-2032 (USD BILLION)
    93. BY TECHNOLOGIES, 2018-2032 (USD BILLION)
    94. VERTICAL, 2018-2032 (USD BILLION)
    95. 2032 (USD BILLION)
    96. (USD BILLION)
    97. BILLION)
    98. BILLION)
    99. BILLION)
    100. BILLION)
    101. (USD BILLION)
    102. (USD BILLION)
    103. (USD BILLION)
    104. (USD BILLION)
    105. (USD BILLION)
    106. (USD BILLION)
    107. (USD BILLION)
    108. (USD BILLION)
    109. BILLION)
    110. BILLION)
    111. FOR THE GLOBAL AI IN IOT MARKET
    112. IN IOT MARKET
    113. GLOBAL AI IN IOT MARKET, SHARE (%), BY VERTICAL, 2022
    114. IN IOT MARKET, SHARE (%), BY REGION, 2022
    115. MARKET, SHARE (%), BY REGION, 2022
    116. (%), BY REGION, 2022
    117. REGION, 2022
    118. SYSTEMS, INC.: SWOT ANALYSIS
    119. SNAPSHOT
    120. SERVICES.: FINANCIAL OVERVIEW SNAPSHOT
    121. SWOT ANALYSIS
    122. SNAPSHOT
    123. SNAPSHOT
    124. SNAPSHOT
    125. OVERVIEW SNAPSHOT

    AI in IoT Market Segmentation

    AI in IoT Component Outlook (USD Billion, 2018-2032)

    • Platforms
    • Software Solutions
    • Services

    AI in IoT Technologies Outlook (USD Billion, 2018-2032)

    • ML and Deep Learning
    • NLP

    AI in IoT Vertical Outlook (USD Billion, 2018-2032)

    • Manufacturing
    • Energy and Utilities
    • Transportation and Mobility
    • BFSI
    • Government and Defense
    • Retail
    • Healthcare and Life Sciences
    • Telecom
    • Others (agriculture, education, telecom, and tourism and hospitality)

    AI in IoT Regional Outlook (USD Billion, 2018-2032)

    • North America Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • US Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • Canada Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
    • Europe Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • Germany Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • France Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • UK Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • Italy Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • Spain Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • Rest Of Europe Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
    • Asia-Pacific Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • China Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • Japan Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • India Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • Australia Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • Rest of Asia-Pacific Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
    • Rest of the World Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • Middle East Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • Africa Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)
      • Latin America Outlook (USD Billion, 2018-2032)

      • AI in IoT by Component
        • Platforms
        • Software Solutions
        • Services
      • AI in IoT by Technologies
        • ML and Deep Learning
        • NLP
      • AI in IoT by Vertical
        • Manufacturing
        • Energy and Utilities
        • Transportation and Mobility
        • BFSI
        • Government and Defense
        • Retail
        • Healthcare and Life Sciences
        • Telecom
        • Others (agriculture, education, telecom, and tourism and hospitality)

     

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