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Artificial Intelligence of Things Market

ID: MRFR/ICT/8814-HCR
100 Pages
Garvit Vyas
October 2025

Artificial Intelligence of Things (AIoT) Market Size, Share and Trends Analysis Report By Application (Smart Homes and Buildings, Industrial Automation, Healthcare, Transportation and Logistics, Retail and Consumer Electronics), By Component Type (Sensors and Actuators, Edge Devices and Gateways, Cloud Platforms, Software and Analytics, Networking Infrastructure), By End User (Consumers, Enterprises (SMEs and Large Enterprises), Government Agencies, Utilities, Healthcare Providers), By Deployment Model (On-Premise, Cloud-Based, Hybrid), By A... read more

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Artificial Intelligence of Things Market Summary

As per Market Research Future analysis, the Artificial Intelligence of Things (AIoT) Market Artificial Intelligence of Things MarketArtificial Intelligence of Things (AIoT) Market Size was estimated at 52.53 USD Billion in 2024. The Artificial Intelligence of Things industry is projected to grow from 63.78 USD Billion in 2025 to 443.89 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 21.41% during the forecast period 2025 - 2035

Key Market Trends & Highlights

The Artificial Intelligence of Things Market is poised for substantial growth driven by automation and data analytics.

  • North America remains the largest market for Artificial Intelligence of Things, showcasing robust adoption across various sectors.
  • The Asia-Pacific region is emerging as the fastest-growing market, fueled by rapid technological advancements and increasing investments.
  • The Smart Home segment leads in market size, while the Healthcare segment is experiencing the fastest growth due to rising demand for innovative solutions.
  • Key market drivers include the rising demand for smart devices and advancements in machine learning, which are enhancing operational efficiency.

Market Size & Forecast

2024 Market Size 52.53 (USD Billion)
2035 Market Size 443.89 (USD Billion)
CAGR (2025 - 2035) 21.41%

Major Players

IBM (US), Microsoft (US), Google (US), Amazon (US), Intel (US), Siemens (DE), Cisco (US), General Electric (US), Qualcomm (US), SAP (DE)

Artificial Intelligence of Things Market Trends

The Artificial Intelligence of Things (AIoT) Market Artificial Intelligence of Things (AIoT) Marketis currently experiencing a transformative phase, characterized by the convergence of artificial intelligence and the Internet of Things. This integration enables devices to not only collect data but also analyze and act upon it autonomously. As organizations increasingly recognize the potential of this synergy, applications across various sectors, including healthcare, manufacturing, and smart cities, are emerging. The Artificial Intelligence of Things (AIoT) Market appears to be driven by advancements in machine learning algorithms, enhanced connectivity, and the growing demand for automation. Furthermore, the emphasis on data security and privacy is likely to shape the development of solutions within this domain, as stakeholders seek to balance innovation with ethical considerations. Growing demand for smart infrastructure and automation presents strong opportunities in the AI in IoT market, especially in energy management and industrial applications.

In addition, the Artificial Intelligence of Things (AIoT) Market seems poised for further growth as businesses strive to enhance operational efficiency and customer experiences. The rise of edge computing is also influencing this landscape, allowing for real-time data processing closer to the source. This shift may lead to reduced latency and improved responsiveness in applications. Moreover, the collaboration between technology providers and industry players is expected to foster innovation, creating new opportunities for market expansion. Overall, the future of the Artificial Intelligence of Things (AIoT) Market appears promising, with numerous possibilities for enhancing productivity and driving economic growth. The artificial intelligence of things market represents the convergence of AI technologies with connected IoT devices, enabling intelligent decision-making and automation across industries. Also referred to as AIoT artificial intelligence of things, this market enhances the ability of IoT systems to analyze data, learn patterns, and act autonomously. The rapid adoption of AI in IoT market solutions is transforming industries by enabling real-time analytics, predictive maintenance, and autonomous operations. Advancements in edge computing and machine learning are accelerating growth in the artificial intelligence in IoT market, particularly across smart manufacturing and healthcare sectors.

Increased Automation

The trend towards automation within the Artificial Intelligence of Things Market is becoming more pronounced. Organizations are increasingly leveraging AI technologies to automate routine tasks, thereby enhancing productivity and reducing human error. This shift not only streamlines operations but also allows human resources to focus on more strategic initiatives.

Enhanced Data Analytics

As the volume of data generated by connected devices continues to rise, the demand for sophisticated analytics tools is growing. These tools enable businesses to derive actionable insights from vast datasets, facilitating informed decision-making. Cloud-based platforms play a critical role in the artificial intelligence in IoT market, offering scalability and seamless integration with connected devices.

Focus on Security and Privacy

As the Artificial Intelligence of Things Market expands, concerns regarding security and privacy are gaining prominence. Stakeholders are increasingly prioritizing the development of robust security measures to protect sensitive data and ensure compliance with evolving regulations. This focus on security is likely to shape future innovations in the market.

Artificial Intelligence of Things Market Drivers

Rapid Technological Advancements

The Global Artificial Intelligence of Things Market (AIoT) Market Industry is propelled by rapid technological advancements in AI and IoT. Innovations in machine learning, natural language processing, and edge computing are enhancing the capabilities of connected devices. For instance, smart home devices are becoming increasingly sophisticated, allowing for seamless integration and automation. As of 2024, the market is valued at 52.5 USD Billion, indicating a robust growth trajectory. This trend is expected to continue as businesses and consumers alike seek more efficient and intelligent solutions, thereby driving demand for AIoT technologies.

Market Segment Insights

By Application: Smart Home (Largest) vs. Healthcare (Fastest-Growing)

In the Artificial Intelligence of Things (AIoT) market, the application segment showcases diverse growth across various domains. Smart Home applications hold the largest share, driven by the increasing adoption of smart devices that enhance convenience and energy efficiency in households. Following closely are sectors like Industrial Automation and Transportation, which are seeing significant integration of AIoT technologies to streamline operations and improve safety measures. Healthcare, while smaller in Artificial Intelligence of Things (AIoT) Market share, is rapidly gaining traction due to the rise of connected medical devices and telehealth solutions.

Smart Home (Dominant) vs. Healthcare (Emerging)

The Smart Home segment is pivotal in the Artificial Intelligence of Things Market, characterized by a wide array of devices such as smart speakers, thermostats, and security systems. These technologies enable homeowners to automate their living spaces, leading to enhanced energy efficiency and user comfort. On the other hand, the Healthcare segment, designated as emerging, is gaining momentum due to the rise of telemedicine and remote patient monitoring solutions that utilize AI and IoT to improve patient outcomes. This segment is supported by a growing aging population and the need for efficient healthcare delivery systems, setting the stage for rapid innovation and adoption.

By End Use: Manufacturing (Largest) vs. Healthcare (Fastest-Growing)

In the Artificial Intelligence of Things (AIoT) market, the end-use segment is characterized by diverse applications spanning across various industries. Manufacturing holds the largest share, driven by the need for efficiency, automation, and predictive maintenance. Retail follows closely, as businesses leverage AIoT for enhanced customer experiences and inventory management. Notably, healthcare is rapidly gaining traction, thanks to advancements in telemedicine and patient monitoring systems, while transportation and agriculture sectors continue to expand their adoption of IoT technologies. The growth trends in the AIoT end-use segment are significantly influenced by the advancements in AI technologies and IoT frameworks. Manufacturing remains dominant due to ongoing digital transformation initiatives, emphasizing automated processes. Healthcare emerges as the fastest-growing segment, propelled by innovations in health data analytics and remote patient care solutions. Transportation is leveraging AIoT for smart logistics, whereas agriculture is witnessing an uptick in precision farming techniques, enhancing crop productivity and sustainability efforts.

Manufacturing (Dominant) vs. Healthcare (Emerging)

The manufacturing sector is currently the dominant force in the AIoT market, characterized by its robust investment in smart factories that utilize AI for predictive maintenance, supply chain management, and quality control. This integration leads to increased productivity and enhanced efficiency, making it a critical area for technology advancement. Conversely, the healthcare sector is an emerging player, rapidly adopting AIoT solutions to streamline operations, improve patient care, and enable remote health monitoring. Factors such as aging populations and the global move towards digital health are propelling the growth of AIoT applications in healthcare, positioning it as a significant player in the Artificial Intelligence of Things (AIoT) Market.

By Technology: Machine Learning (Largest) vs. Natural Language Processing (Fastest-Growing)

In the Artificial Intelligence of Things (AIoT) Market, machine learning has significantly established its footprint, commanding the largest market share among its peers. This segment's robust adoption is attributed to its versatility across various applications, including predictive analytics and automation. On the other hand, natural language processing is witnessing unparalleled growth, rapidly becoming the preferred choice for developers aiming to enhance human-computer interaction. Its relevance in chatbots and voice-assisted technologies underpins a strong demand across industries, propelling its Artificial Intelligence of Things (AIoT) Market value upwards. Healthcare applications are emerging rapidly within the artificial intelligence of things ecosystem, driven by AI-powered monitoring devices and predictive diagnostics. Machine learning continues to dominate technology adoption in the AI in IoT market, supporting automation and intelligent data processing.

Technology: Machine Learning (Dominant) vs. Natural Language Processing (Emerging)

Machine learning is at the core of the Artificial Intelligence of Things (AIoT) Market, driving innovations that automate processes and analyze vast datasets efficiently. It thrives due to techniques such as supervised and unsupervised learning that further enhance its capabilities. Conversely, natural language processing is emerging vigorously, integrating advanced algorithms that enable machines to understand and process human languages effectively. This technology's application in voice recognition and sentiment analysis is broadening its horizons, positioning it as a critical driveline for AI-powered devices. The synergy of these technologies fosters an ecosystem that expands capabilities and enhances user experience.

By Component: Sensors (Largest) vs. Software (Fastest-Growing)

In the Artificial Intelligence of Things Market, the component segment showcases a diverse array of technologies, with sensors representing the largest share. They play a crucial role in data acquisition and contribute significantly to the overall efficacy of AI applications. Software, while currently holding a smaller share, is recognized for its rapid adoption due to increasing demand for smarter solutions across industries, positioning it as the fastest-growing area within this segment.

Components: Sensors (Dominant) vs. Software (Emerging)

Sensors, as the dominant component in the Artificial Intelligence of Things Market, provide critical data for decision-making and operational efficiency. Their ability to capture real-time information makes them invaluable for various applications ranging from smart homes to industrial automation. On the other hand, software solutions are emerging as essential tools that enhance the functionality of AI systems by enabling complex analytics and seamless integration of devices. With the push for more intelligent, interconnected systems, the demand for innovative software solutions is gaining momentum, indicating a significant transformation in how AI operates in synergy with physical components.

By Deployment Model: Cloud-Based (Largest) vs. Hybrid (Fastest-Growing)

In the Artificial Intelligence of Things (AIoT) Market, the deployment model segment is primarily characterized by significant share distributions among On-Premises, Cloud-Based, and Hybrid solutions. Cloud-Based deployment holds the largest share due to its scalability, accessibility, and lower upfront investment costs. In contrast, On-Premises solutions are favored by enterprises that prioritize data security and control, while Hybrid deployments are emerging rapidly, combining the strengths of both On-Premises and Cloud systems to meet diverse business requirements.

Deployment Model: Cloud-Based (Dominant) vs. Hybrid (Emerging)

Cloud-Based deployment in the Artificial Intelligence of Things (AIoT) Market is recognized for its dominance due to its ability to offer flexibility and unlimited scalability to businesses. It facilitates seamless integration of AI technologies and IoT devices while providing cost-effective data storage solutions. On the other hand, Hybrid deployment is rapidly becoming an emerging choice for enterprises that seek to strike a balance between agility and security. It allows organizations to maintain sensitive data on-premises while utilizing the cloud for overflow capacity and advanced analytics. This adaptability and duality of operation make Hybrid deployment increasingly attractive to businesses aiming for optimal performance.

Get more detailed insights about Artificial Intelligence of Things Market

Regional Insights

North America : Innovation and Leadership Hub

North America continues to lead the Artificial Intelligence of Things (AIoT) market, holding a significant share of 26.27% as of December 2025. The region's growth is driven by rapid technological advancements, increased investment in AI research, and a robust infrastructure supporting IoT applications. Regulatory support from government initiatives further catalyzes the adoption of AIoT technologies, enhancing efficiency across various sectors. The competitive landscape is characterized by major players such as IBM, Microsoft, and Google, who are at the forefront of AIoT innovations. The U.S. remains the leading country, with significant contributions from Canada and Mexico. The presence of tech giants and a vibrant startup ecosystem fosters a dynamic market environment, ensuring continuous growth and development in AIoT solutions.

Europe : Emerging AIoT Powerhouse

Europe is emerging as a significant player in the AIoT market, with a market size of €12.76 billion. The region benefits from strong regulatory frameworks that promote innovation and sustainability, driving demand for AIoT solutions across various industries. Initiatives aimed at digital transformation and smart city projects are key growth drivers, enhancing the integration of AI and IoT technologies in everyday applications. Leading countries in this region include Germany, France, and the UK, where companies like Siemens and SAP are making substantial contributions. The competitive landscape is marked by a mix of established firms and innovative startups, fostering a collaborative environment for AIoT development. The European market is poised for growth as it embraces advanced technologies to improve operational efficiencies and enhance user experiences.

Asia-Pacific : Rapidly Growing Market

The Asia-Pacific region is emerging as a significant player in the Artificial Intelligence of Things (AIoT) market, with a market size of 10.15% in 2024. The growth is driven by increasing urbanization, rising demand for smart devices, and government initiatives promoting digital innovation. Countries in this region are rapidly adopting AIoT technologies to enhance operational efficiency and improve quality of life, supported by favorable regulatory environments.

China and Japan are leading the charge in AIoT adoption, with major companies like Intel and Qualcomm investing heavily in research and development. The competitive landscape is marked by a mix of established tech giants and innovative startups, creating a dynamic ecosystem. As the region continues to embrace AIoT, it is poised for substantial growth, contributing significantly to the global Artificial Intelligence of Things (AIoT) Market.

Middle East and Africa : Emerging Market Potential

The Middle East and Africa (MEA) region is at the nascent stage of AIoT market development, with a market size of $2.0 billion. However, the potential for growth is significant, driven by increasing investments in technology and infrastructure. Governments are recognizing the importance of AIoT in enhancing operational efficiencies and are implementing strategies to foster innovation and attract foreign investment. Countries like the UAE and South Africa are leading the charge in AIoT adoption, with initiatives aimed at smart city developments and digital transformation. The competitive landscape is evolving, with both local and international players entering the market. As awareness of AIoT benefits grows, the region is poised for substantial growth, leveraging technology to address unique challenges and improve quality of life.

Artificial Intelligence of Things Market Regional Image

Key Players and Competitive Insights

The Artificial Intelligence of Things 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 IBM (US), Microsoft (US), and Siemens (DE) are strategically positioning themselves through innovation and partnerships, which appear to be pivotal in shaping the market's trajectory. IBM (US) focuses on integrating AI capabilities into its IoT solutions, enhancing data analytics and operational efficiency. Meanwhile, Microsoft (US) emphasizes cloud-based AI services, which facilitate seamless connectivity and data management for enterprises. Siemens (DE) is leveraging its expertise in automation and digitalization to create smart infrastructure solutions, thereby enhancing its competitive edge 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 is moderately fragmented, with a blend of established players and emerging startups vying for market share. This fragmentation allows for diverse offerings, yet the collective influence of key players like Amazon (US) and Google (US) remains substantial, as they continue to invest heavily in AI and IoT technologies, thereby driving innovation and setting industry standards.
In November Amazon (US) announced the launch of its new AI-driven IoT platform, designed to enhance smart home integration and energy management. This strategic move is significant as it not only expands Amazon's footprint in the consumer IoT space but also aligns with the growing trend towards energy efficiency and sustainability. By leveraging its existing cloud infrastructure, Amazon (US) aims to provide users with more intuitive and responsive smart home solutions, potentially reshaping consumer expectations in the market.
In October Google (US) unveiled a partnership with several automotive manufacturers to develop AI-enhanced vehicle-to-everything (V2X) communication systems. This initiative is crucial as it positions Google (US) at the forefront of the automotive IoT sector, facilitating safer and more efficient transportation solutions. The collaboration underscores the importance of strategic alliances in driving innovation and expanding market reach, particularly in sectors where connectivity and real-time data exchange are paramount.
In December Siemens (DE) revealed its plans to invest €500 million in AI research and development, focusing on industrial applications. This investment is indicative of Siemens' commitment to maintaining its leadership in the industrial IoT space. By prioritizing R&D, Siemens (DE) aims to enhance its product offerings and address the evolving needs of its clients, thereby reinforcing its competitive position in a rapidly changing market.
As of December the most pressing trends influencing competition include the ongoing digitalization of industries, a heightened focus on sustainability, and the integration of AI into IoT solutions. Strategic alliances are increasingly shaping the competitive landscape, enabling companies to pool resources and expertise to drive innovation. Looking ahead, it appears that competitive differentiation will increasingly hinge on technological advancements and supply chain reliability, rather than solely on price. This shift suggests a future where innovation and the ability to deliver robust, integrated solutions will be paramount for success in the Artificial Intelligence of Things Market.

Key Companies in the Artificial Intelligence of Things Market include

Industry Developments

  • Q2 2024: Bosch to invest $3 billion in AIoT chip production facility in Germany Bosch announced a $3 billion investment to build a new semiconductor facility in Dresden, Germany, focused on producing chips for artificial intelligence of things (AIoT) applications. The facility is expected to be operational by late 2025 and will support the growing demand for smart, connected devices.
  • Q2 2024: Edge Impulse raises $60M Series B to expand AIoT development platform Edge Impulse, a startup specializing in machine learning for edge devices, secured $60 million in Series B funding to accelerate the development of its AIoT platform. The company plans to use the funds to expand its engineering team and grow its ecosystem of device partners.
  • Q3 2024: Siemens and NVIDIA announce partnership to deliver industrial AIoT solutions Siemens and NVIDIA unveiled a strategic partnership to integrate NVIDIA’s AI technology into Siemens’ industrial IoT platforms, aiming to deliver advanced AIoT solutions for manufacturing and automation sectors.
  • Q3 2024: Honeywell launches new AIoT-enabled building management system Honeywell introduced a new building management system that leverages AIoT to optimize energy usage and predictive maintenance in commercial properties. The system uses real-time data and machine learning to automate building operations.
  • Q4 2024: Samsung acquires French AIoT startup Sigfox for $250 million Samsung completed the acquisition of Sigfox, a French startup specializing in low-power AIoT connectivity solutions, for $250 million. The deal is expected to strengthen Samsung’s position in the global AIoT market.
  • Q4 2024: Microsoft and Schneider Electric sign global AIoT partnership Microsoft and Schneider Electric announced a global partnership to co-develop AIoT solutions for energy management and smart infrastructure, leveraging Microsoft Azure’s AI capabilities and Schneider’s IoT hardware.
  • Q1 2025: Arm unveils new AIoT processor architecture for edge devices Arm Holdings launched a new processor architecture designed specifically for AIoT edge devices, promising improved performance and energy efficiency for smart sensors and connected products.
  • Q1 2025: Tuya Smart files for US IPO to fund global AIoT expansion Tuya Smart, a leading AIoT platform provider, filed for an initial public offering in the US to raise capital for expanding its global operations and accelerating product development.
  • Q2 2025: Amazon Web Services launches AIoT analytics suite for industrial clients Amazon Web Services introduced a new analytics suite tailored for industrial AIoT applications, enabling real-time monitoring and predictive maintenance for manufacturing and logistics companies.
  • Q2 2025: ABB opens new AIoT research center in Singapore ABB inaugurated a dedicated research center in Singapore focused on developing AIoT technologies for smart manufacturing and energy management.
  • Q3 2025: Sony and Qualcomm announce joint venture for AIoT camera solutions Sony and Qualcomm formed a joint venture to develop AIoT-enabled camera systems for security, retail, and smart city applications, combining Sony’s imaging technology with Qualcomm’s AI chipsets.
  • Q3 2025: PTC launches AIoT-enabled version of ThingWorx platform PTC released a new version of its ThingWorx industrial IoT platform with integrated AI capabilities, enabling customers to deploy machine learning models directly on connected devices.

Future Outlook

Artificial Intelligence of Things Market Future Outlook

The Artificial Intelligence of Things (AIoT) Market is projected to grow at a 21.41% CAGR from 2024 to 2035, driven by advancements in IoT technology, increased automation, and enhanced data analytics capabilities.
By 2035, the market is expected to be robust, driven by innovation and widespread adoption.

New opportunities lie in:

  • Development of AI-driven predictive maintenance solutions for industrial equipment. Integration of AI in smart home devices for enhanced user experience. Creation of AI-based cybersecurity frameworks for IoT networks.

By 2035, the market is expected to be robust, driven by innovation and widespread adoption.

Market Segmentation

Artificial Intelligence of Things Market End Use Outlook

  • Manufacturing
  • Retail
  • Healthcare
  • Transportation
  • Agriculture

Artificial Intelligence of Things Market Component Outlook

  • Sensors
  • Actuators
  • Software
  • Connectivity Modules
  • Data Processing Units

Artificial Intelligence of Things Market Technology Outlook

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Edge Computing
  • Cloud Computing

Artificial Intelligence of Things Market Application Outlook

  • Smart Home
  • Industrial Automation
  • Healthcare
  • Transportation
  • Energy Management

Report Scope

MARKET SIZE 2024 52.53(USD Billion)
MARKET SIZE 2025 63.78(USD Billion)
MARKET SIZE 2035 443.89(USD Billion)
COMPOUND ANNUAL GROWTH RATE (CAGR) 21.41% (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 Billion
Key Companies Profiled IBM (US), Microsoft (US), Google (US), Amazon (US), Intel (US), Siemens (DE), Cisco (US), General Electric (US), Qualcomm (US), SAP (DE)
Segments Covered Application, End Use, Technology, Component
Key Market Opportunities Integration of advanced analytics and machine learning in smart devices enhances operational efficiency in the Artificial Intelligence of Things Market.
Key Market Dynamics Rising integration of artificial intelligence in Internet of Things devices drives innovation and enhances operational efficiencies across industries.
Countries Covered North America, Europe, APAC, South America, MEA
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FAQs

What is the expected valuation of the Artificial Intelligence Of Things (AIoT) Market in 2023?

The AIoT Market is anticipated to reach a valuation of approximately USD 63.77 Billion in 2025.

What is the projected Compound Annual Growth Rate (CAGR) of the AIoT Market from 2023 to 2032?

The AIoT Market is projected to exhibit a CAGR of 21.41% during the forecast period from 2025 to 2034.

What is the estimated valuation of the AIoT Market by 2032?

By 2034, the AIoT Market is expected to reach a valuation of around USD 365.60 Billion.

Which region is anticipated to hold the largest market share in the AIoT Market by 2032?

The Asia-Pacific region is projected to dominate the AIoT Market by 2034, owing to factors such as rapid urbanization, growing industrialization, and increasing adoption of AI technologies.

What are the key applications of AIoT technology?

AIoT technology finds applications in various domains, including smart cities, healthcare, manufacturing, retail, and transportation.

Which industry vertical is expected to drive the highest demand for AIoT solutions?

The manufacturing industry is anticipated to be a major driver of demand for AIoT solutions, as it seeks to improve operational efficiency and productivity.

Who are some of the prominent players in the AIoT Market?

Major players in the AIoT Market include companies such as Microsoft, IBM, Google, Amazon, and Siemens.

What are the major trends shaping the AIoT Market?

Key trends influencing the AIoT Market include the convergence of AI, IoT, and cloud computing, the integration of AI into edge devices, and the growing adoption of 5G technology.

What are the key challenges faced by the AIoT Market?

Challenges faced by the AIoT Market include concerns over data security and privacy, the need for skilled professionals, and the high cost of implementation.

What are the growth opportunities for the AIoT Market?

Growth opportunities for the AIoT Market lie in the increasing demand for smart and connected devices, the proliferation of AIoT applications, and government initiatives promoting AI adoption.

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