AIoT 플랫폼 시장 : 제공별, 플랫폼 유형별, 전개별, 용도별, 업계별, 최종사용자별 - 세계 예측(2025-2030년)

The AIoT Platforms Market was valued at USD 6.29 billion in 2023 and is projected to grow to USD 7.70 billion in 2024, with a CAGR of 25.60%, reaching USD 31.06 billion by 2030.

In today's rapidly evolving technological landscape, the convergence of artificial intelligence (AI) and the Internet of Things (IoT) is redefining how businesses, consumers, and industries operate. This integration, often termed AIoT, not only enhances operational efficiencies but also opens a myriad of opportunities for innovation and business transformation. As we embark on a deep dive into this dynamic arena, it becomes essential to understand the underlying forces driving change, the critical segments shaping the market, and the regional as well as corporate influencers that are setting new standards.

The market for AIoT platforms is characterized by its versatility and adaptive technologies that cater to varied applications. Decision-makers and industry experts are witnessing transformative changes that are not only technological but also strategic in their orientation. By examining trends, segmentation insights, and strategic recommendations, stakeholders gain a comprehensive view of the new digital era. This synthesis is aimed at providing a robust foundation for informed and forward-thinking business strategies supported by the latest industry data and trends.

The content below presents an in-depth exploration into transformative shifts in the AIoT landscape, meticulous segmentation insights, key regional dynamics, and profiles of leading companies steering the market. Through this narrative, readers are invited to understand and capitalize on trends that are reshaping the future of connectivity and intelligent automation.

Transformative Shifts in the AIoT Ecosystem

The integration of AI and IoT has led to sweeping transformations across multiple sectors. Recent years have seen a shift from traditional siloed operations towards an era that emphasizes system interconnectivity, data-driven insights, and real-time decision-making. Technological innovations have accelerated the development of smarter, more autonomous systems that are capable of learning and adapting on the fly.

Key drivers of these transformative shifts include the rapid maturation of machine learning algorithms, advanced sensor technologies, and increased computational power available in compact, edge-enabled devices. These advancements have collaboratively resulted in platforms that can manage vast amounts of data, predict system behaviors, and seamlessly integrate with legacy systems. Furthermore, the emphasis on user-centric design has propelled the evolution of customizable and context-aware platforms, ensuring that solutions can be tailored to the unique challenges of various industries.

Over the course of this evolution, new business models have emerged, disrupting traditional markets and ushering an era of operational efficiency and product innovation. Companies are leveraging these capabilities to optimize production, improve safety standards, and enhance the overall customer experience. These shifts represent a holistic reorganization of processes, where digital transformation is no longer an option but a strategic imperative for businesses aiming to secure a competitive edge in an increasingly complex market landscape.

Key Segmentation Insights of the AIoT Market

The AIoT platform market is segmented in a manner that offers a granular understanding of the diverse components shaping its landscape. One way the market is studied is based on offering; this includes a deep examination of hardware, services, and solutions. Within hardware segments, an emphasis is placed on analyzing gateways, routers, and sensors, while the services domain is broken down into subcategories such as deployment and integration, support and maintenance, and training and consulting. In the realm of solutions, core areas like application management, connectivity management, and device management are meticulously evaluated.

Another important dimension of segmentation pertains to the platform type, which is categorized into hardware platforms, integrated platforms, and software platforms. The specificity of these segments reveals the distinct contributions each brings to creating robust AIoT ecosystems. Additionally, market deployment is understood through the frameworks of cloud, hybrid, and on-premise setups, each providing insights into the adaptability and scalability of solutions in various environments. The application segment, too, has its unique breakdown including asset tracking, energy management, predictive maintenance, and safety and security among other applications.

Further analysis involves segmentation based on the industry vertical. This investigation spans sectors such as automotive, banking along with financial services and insurance, construction, consumer electronics, energy and utilities, healthcare and life sciences, industrial automation, manufacturing, and retail with e-commerce. For instance, within the automotive segment, particular attention is given to autonomous vehicles, fleet management solutions, and in-vehicle infotainment systems. The financial services space is further refined to include fraud detection and personalized banking, while construction sees a focus on public safety systems, smart infrastructure, and traffic management systems. In consumer electronics, the trends lean towards connected appliances, smart home assistants, and wearable technology, and energy and utilities address challenges through grid management, renewable energy management, and smart metering. Healthcare and life sciences integrate critical systems like hospital management and laboratory information, with industrial automation leveraging IoT-enabled robotics, predictive support, and smart factories. Manufacturing is segmented into discrete and process manufacturing, while retail and e-commerce explore avenues like automated checkout systems and smart retail solutions.

The final segmentation insight is based on the end user, divided into consumer and enterprise segments. The enterprise category is further studied across large enterprises alongside small and medium enterprises. This multi-dimensional segmentation approach offers a holistic view of market dynamics by highlighting the specific nuances and emerging trends across various sectors. It reinforces the importance of strategic alignment between product offerings and target market demands, thereby enabling stakeholders to tailor solutions that are both innovative and customer-centric.

Based on Offering, market is studied across Hardware, Services, and Solutions. The Hardware is further studied across Gateways, Routers, and Sensors. The Services is further studied across Deployment & Integration, Support & Maintenance, and Training & Consulting. The Solutions is further studied across Application Management, Connectivity Management, and Device Management.

Based on Platform Type, market is studied across Hardware Platforms, Integrated Platforms, and Software Platforms.

Based on Deployment, market is studied across Cloud, Hybrid, and On-Premise.

Based on Application, market is studied across Asset Tracking, Energy Management, Predictive Maintenance, and Safety & Security.

Based on Industry Vertical, market is studied across Automotive, Banking, Financial Services, and Insurance, Construction, Consumer Electronics, Energy and Utilities, Healthcare and Life Sciences, Industrial Automation, Manufacturing, and Retail and E-Commerce. The Automotive is further studied across Autonomous Vehicles, Fleet Management Solutions, and In-Vehicle Infotainment. The Banking, Financial Services, and Insurance is further studied across Fraud Detection and Personalized Banking. The Construction is further studied across Public Safety Systems, Smart Infrastructure, and Traffic Management Systems. The Consumer Electronics is further studied across Connected Appliances, Smart Home Assistants, and Wearable Technology. The Energy and Utilities is further studied across Grid Management, Renewable Energy Management, and Smart Metering. The Healthcare and Life Sciences is further studied across Hospital Management Systems and Laboratory Information Systems. The Industrial Automation is further studied across IoT-Enabled Robotics, Predictive Support, and Smart Factories. The Manufacturing is further studied across Discrete Manufacturing and Process Manufacturing. The Retail and E-Commerce is further studied across Automated Checkout Systems and Smart Retail Solutions.

Based on End User, market is studied across Consumer and Enterprise. The Enterprise is further studied across Large Enterprises and Small & Medium Enterprises.

Key Regional Dynamics in the AIoT Platform Market

A regional analysis of the AIoT platform market reveals significant variations and unique trends across different geographies. The Americas stand out with robust technological ecosystems and rapid adoption of advanced platforms by both government bodies and private enterprises. The continent benefits from a high concentration of technology innovators and an established infrastructure that supports the rapid deployment of AIoT solutions.

In contrast, the Europe, Middle East & Africa region demonstrates a mix of emerging technology trends and established industrial frameworks. Policy initiatives, auto innovation hubs, and smart city projects are all contributing factors that set the stage for growth, while regional partnerships are crucial for driving cross-border technology transfers and standard developments.

On the other hand, the Asia-Pacific region has emerged as a global powerhouse in technology manufacturing and digital innovation. Rapid urbanization, supportive government policies, and a burgeoning consumer base have led businesses in this region to adopt AIoT platforms at an accelerated pace. Each of these regions presents distinct challenges and opportunities that collectively drive the overall market growth, making a strong case for region-specific strategies and investment in tailored infrastructures.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Georgia, Illinois, Massachusetts, New York, Ohio, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Leading Companies Shaping the AIoT Landscape

The landscape of AIoT platforms is prominently influenced by a roster of forward-thinking companies that are consistently driving innovation. A number of established industry players have contributed diverse solutions that are integral to the evolution of the market. Notable influencers include Allion Labs, Inc., Amazon Web Services, Inc., Arm Limited, ASRock Industrial Computer Corp., and Axiomtek Co., Ltd. Their sprawling portfolios are complemented by the technical prowess of Cisco Systems, Inc., Cloud Walk Technologies Co., Ltd., and CMS Info Systems Limited.

Further pushing the boundaries, companies such as Falkonry Inc., Google LLC by Alphabet Inc., Hewlett Packard Enterprise Development LP, and Hitachi, Ltd. continue to deliver ground-breaking services and solutions. The established reputations of Intel Corporation, International Business Machines Corporation, and Microsoft Corporation have also played critical roles in standard setting and technology adoption. Emerging as key contributors, Milesight, NXP Semiconductors N.V., Open Text Corporation, Oracle Corporation, and Qualcomm Incorporated are simultaneously enhancing innovation and sustaining market momentum.

Additional industry leaders include Robert Bosch GmbH, Samsung Electronics Co., Ltd., SAS Institute Inc., SEMIFIVE US, Inc., Sharp Corporation, Sight Machine, SMARTCOW AI TECHNOLOGIES PRIVATE LIMITED, and Terminus Group. Collectively, these companies drive not only product development and innovation but also strategic market implementation, leading to a multi-layered ecosystem marked by collaboration and competitive differentiation.

The report delves into recent significant developments in the AIoT Platforms Market, highlighting leading vendors and their innovative profiles. These include Allion Labs, Inc., Amazon Web Services, Inc., Arm Limited, ASRock Industrial Computer Corp., Axiomtek Co., Ltd., Cisco Systems, Inc., Cloud Walk Technologies Co., Ltd., CMS Info Systems Limited, Falkonry Inc., Google LLC by Alphabet Inc., Hewlett Packard Enterprise Development LP, Hitachi, Ltd., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Milesight, NXP Semiconductors N.V., Open Text Corporation, Oracle Corporation, Qualcomm Incorporated, Robert Bosch GmbH, Samsung Electronics Co., Ltd., SAS Institute Inc., SEMIFIVE US, Inc., Sharp Corporation, Sight Machine, SMARTCOW AI TECHNOLOGIES PRIVATE LIMITED, and Terminus Group. Actionable Recommendations for Forward-Thinking Industry Leaders

Industry leaders aiming to secure a dominant position in the market must consider several strategic recommendations based on the evolving AIoT landscape. Key among these is the need to invest in scalable and flexible platforms that can adapt to rapidly changing technological paradigms. With the pace of innovation accelerating, it is vital to adopt modular strategies that allow integration of new functionalities without complete system overhauls. Industry leaders are advised to focus on fostering ecosystems that encourage collaboration among technology vendors, integrators, and end users.

Additionally, to effectively manage digital transformation, organizations should prioritize investments in research and development. This sustained commitment will ensure continued innovation in areas such as machine learning, predictive analytics, and edge computing. Leaders must also place emphasis on building robust data security frameworks, as the increased interconnectivity naturally opens up new vectors for potential threats. By adopting a proactive approach to cybersecurity, companies can mitigate risks and build trust with their client base.

Moreover, a clear focus on understanding market segmentation-ranging from hardware and services to platforms, deployment models, and industry-specific applications-will empower decision-makers to channel resources into high-potential areas. To this end, aligning product offerings with the distinctive needs of diverse segments such as automotive, finance, healthcare, and industrial automation is essential. Finally, continuous engagement with emerging trends and periodic reassessment of strategy in light of market dynamics will further bolster a company's competitive edge and facilitate sustainable growth.

Conclusion: Navigating the Future of AIoT Platforms

In summary, the AIoT platform market is witnessing unprecedented growth fueled by the convergence of artificial intelligence and IoT infrastructure. Transformation is evident across technological developments, market segmentation, regional trends, and corporate innovations. The detailed insights presented herein underscore the importance of holistic strategies that carefully address the multiplicity of factors driving market evolution.

The convergence of advanced analytics, smart sensor technologies, and integrated platform offerings is not only setting the stage for revolutionary changes in operational methodologies but also providing significant opportunities for stakeholders across various sectors. This comprehensive overview reinforces the need for agile strategies that are responsive to technological advancements and market pressures. By remaining committed to continuous improvement and strategic alignment, companies can navigate the evolving environment and ensure uninterrupted growth and innovation.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Increasing demand for autonomous and smart vehicles
    • 5.1.1.2. Proliferating use of connected devices across multiple sectors
    • 5.1.1.3. Government initiatives promoting integration of AIoT in educational curriculum
  • 5.1.2. Restraints
    • 5.1.2.1. Stringent data privacy regulations and cybersecurity concerns associated with AIoT platforms
  • 5.1.3. Opportunities
    • 5.1.3.1. Ongoing collaborative activities for broadening and enhancing the usage of AIoT platform solutions
    • 5.1.3.2. Surge in investments in smart city development initiatives
  • 5.1.4. Challenges
    • 5.1.4.1. Complexities associated with integration of AIoT platforms with existing systems
• 5.2. Market Segmentation Analysis
  • 5.2.1. Offering: Increasing preference for solutions in the AIoT platforms due to increasing usage of connected devices
  • 5.2.2. Platform Type : Software platforms venturing into predictive maintenance and operational efficiency enhancements, crucial for industrial automation
  • 5.2.3. Deployment: Growing usage of hybrid deployment model due to its versatility
  • 5.2.4. Application : Rising application of AIoT platforms for predictive maintenance solutions
  • 5.2.5. Industry Vertical : Expanding utilization of AIoT platforms in the manufacturing sector for enhanced productivity
  • 5.2.6. End User: Growing usage of AIoT platforms by enterprises for enhancing business operations
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. AIoT Platforms Market, by Offering

• 6.1. Introduction
• 6.2. Hardware
  • 6.2.1. Gateways
  • 6.2.2. Routers
  • 6.2.3. Sensors
• 6.3. Services
  • 6.3.1. Deployment & Integration
  • 6.3.2. Support & Maintenance
  • 6.3.3. Training & Consulting
• 6.4. Solutions
  • 6.4.1. Application Management
  • 6.4.2. Connectivity Management
  • 6.4.3. Device Management

7. AIoT Platforms Market, by Platform Type

• 7.1. Introduction
• 7.2. Hardware Platforms
• 7.3. Integrated Platforms
• 7.4. Software Platforms

8. AIoT Platforms Market, by Deployment

• 8.1. Introduction
• 8.2. Cloud
• 8.3. Hybrid
• 8.4. On-Premise

9. AIoT Platforms Market, by Application

• 9.1. Introduction
• 9.2. Asset Tracking
• 9.3. Energy Management
• 9.4. Predictive Maintenance
• 9.5. Safety & Security

10. AIoT Platforms Market, by Industry Vertical

• 10.1. Introduction
• 10.2. Automotive
  • 10.2.1. Autonomous Vehicles
  • 10.2.2. Fleet Management Solutions
  • 10.2.3. In-Vehicle Infotainment
• 10.3. Banking, Financial Services, and Insurance
  • 10.3.1. Fraud Detection
  • 10.3.2. Personalized Banking
• 10.4. Construction
  • 10.4.1. Public Safety Systems
  • 10.4.2. Smart Infrastructure
  • 10.4.3. Traffic Management Systems
• 10.5. Consumer Electronics
  • 10.5.1. Connected Appliances
  • 10.5.2. Smart Home Assistants
  • 10.5.3. Wearable Technology
• 10.6. Energy and Utilities
  • 10.6.1. Grid Management
  • 10.6.2. Renewable Energy Management
  • 10.6.3. Smart Metering
• 10.7. Healthcare and Life Sciences
  • 10.7.1. Hospital Management Systems
  • 10.7.2. Laboratory Information Systems
• 10.8. Industrial Automation
  • 10.8.1. IoT-Enabled Robotics
  • 10.8.2. Predictive Support
  • 10.8.3. Smart Factories
• 10.9. Manufacturing
  • 10.9.1. Discrete Manufacturing
  • 10.9.2. Process Manufacturing
• 10.10. Retail and E-Commerce
  • 10.10.1. Automated Checkout Systems
  • 10.10.2. Smart Retail Solutions

11. AIoT Platforms Market, by End User

• 11.1. Introduction
• 11.2. Consumer
• 11.3. Enterprise
  • 11.3.1. Large Enterprises
  • 11.3.2. Small & Medium Enterprises

12. Americas AIoT Platforms Market

• 12.1. Introduction
• 12.2. Argentina
• 12.3. Brazil
• 12.4. Canada
• 12.5. Mexico
• 12.6. United States

13. Asia-Pacific AIoT Platforms Market

• 13.1. Introduction
• 13.2. Australia
• 13.3. China
• 13.4. India
• 13.5. Indonesia
• 13.6. Japan
• 13.7. Malaysia
• 13.8. Philippines
• 13.9. Singapore
• 13.10. South Korea
• 13.11. Taiwan
• 13.12. Thailand
• 13.13. Vietnam

14. Europe, Middle East & Africa AIoT Platforms Market

• 14.1. Introduction
• 14.2. Denmark
• 14.3. Egypt
• 14.4. Finland
• 14.5. France
• 14.6. Germany
• 14.7. Israel
• 14.8. Italy
• 14.9. Netherlands
• 14.10. Nigeria
• 14.11. Norway
• 14.12. Poland
• 14.13. Qatar
• 14.14. Russia
• 14.15. Saudi Arabia
• 14.16. South Africa
• 14.17. Spain
• 14.18. Sweden
• 14.19. Switzerland
• 14.20. Turkey
• 14.21. United Arab Emirates
• 14.22. United Kingdom

15. Competitive Landscape

• 15.1. Market Share Analysis, 2023
• 15.2. FPNV Positioning Matrix, 2023
• 15.3. Competitive Scenario Analysis
  • 15.3.1. Advantech completes acquisition of AURES, launches ADVANTECH-AURES brand globally
  • 15.3.2. PowerFleet expands AIoT capabilities with Fleet Complete acquisition
  • 15.3.3. Advantech expands Singapore Office to enhance ASEAN AIoT presence
  • 15.3.4. Innovenx and Chylyng collaborate to enhance Multi-Cloud management for advanced AIoT solutions
  • 15.3.5. Akara Life enhances AIoT spatial solutions with multimodal detection patent for improved healthcare and smart home environments
  • 15.3.6. SEALSQ unveils strategic vision for AIoT advancement in connected Intelligence
  • 15.3.7. Golioth introduces AI-ready IoT infrastructure to empower developers
  • 15.3.8. Advantech expands AIoT Platform capabilities with Ubuntu Pro in collaboration with Canonical
  • 15.3.9. ASUS launched AIoT Solutions to drive AI integration across industries
  • 15.3.10. Advantech announced its strategic collaboration with Qualcomm Technologies, Inc. to enhance the edge computing landscape
  • 15.3.11. Terminus secures CNY 2 billion to drive digital transformation and growth in China's expanding AIoT market
  • 15.3.12. eFishery's strategic acquisition of Dycodex to enhance AI capabilities in aquaculture
  • 15.3.13. SEALSQ launches AIoT strategy with WiseAI.io at Davos AI roundtable
  • 15.3.14. Renesas advances AIoT solutions through reality AI tools integration for streamlined edge AI development
  • 15.3.15. Advantech and Hailo partner to expand energy-efficient edge AI portfolio
• 15.4. Strategy Analysis & Recommendation
  • 15.4.1. Robert Bosch GmbH
  • 15.4.2. Sharp Corporation
  • 15.4.3. Intel Corporation
  • 15.4.4. Amazon Web Services, Inc.

Companies Mentioned

• 1. Allion Labs, Inc.
• 2. Amazon Web Services, Inc.
• 3. Arm Limited
• 4. ASRock Industrial Computer Corp.
• 5. Axiomtek Co., Ltd.
• 6. Cisco Systems, Inc.
• 7. Cloud Walk Technologies Co., Ltd.
• 8. CMS Info Systems Limited
• 9. Falkonry Inc.
• 10. Google LLC by Alphabet Inc.
• 11. Hewlett Packard Enterprise Development LP
• 12. Hitachi, Ltd.
• 13. Intel Corporation
• 14. International Business Machines Corporation
• 15. Microsoft Corporation
• 16. Milesight
• 17. NXP Semiconductors N.V.
• 18. Open Text Corporation
• 19. Oracle Corporation
• 20. Qualcomm Incorporated
• 21. Robert Bosch GmbH
• 22. Samsung Electronics Co., Ltd.
• 23. SAS Institute Inc.
• 24. SEMIFIVE US, Inc.
• 25. Sharp Corporation
• 26. Sight Machine
• 27. SMARTCOW AI TECHNOLOGIES PRIVATE LIMITED
• 28. Terminus Group