한글목차

세계 AI IoT 플랫폼 시장의 미래는 제조업, 의료, 에너지 및 유틸리티 시장에서의 기회로 인해 유망합니다. 세계 AI IoT 플랫폼 시장은 2025-2031년 연평균 복합 성장률(CAGR) 24.8%로 성장할 것으로 예상됩니다. 이 시장의 주요 동인은 데이터 분석 및 의사결정을 위한 AI 채택 증가, 산업 전반의 자동화 및 최적화에 대한 관심 증가, 커넥티드 디바이스 및 스마트 기술에 대한 수요 증가 등이 있습니다.

• Lucintel의 예측에 따르면, 유형별로는 지능형 단말기 제품이 예측 기간 동안 높은 성장세를 보일 것으로 예상됩니다.
• 용도별로는 제조업이 가장 높은 성장이 예상됩니다.
• 지역별로는 아시아태평양이 예측 기간 동안 가장 높은 성장을 보일 것으로 예상됩니다.

AI IoT 플랫폼 시장의 전략적 성장 기회

AI IoT 플랫폼 시장은 기술 발전과 시장 요구에 힘입어 다양한 용도에서 전략적 성장 기회를 제공합니다.

• 스마트시티: 스마트시티는 AI IoT 플랫폼에 큰 성장 기회를 제공합니다. 이러한 플랫폼은 실시간 데이터 분석과 자동화를 통해 도시 인프라, 교통, 공공 서비스 관리를 가능하게 합니다. 스마트시티 프로젝트에 대한 투자는 도시의 효율성, 지속가능성, 삶의 질 향상으로 이어집니다.
• 산업용 IoT(IIoT) : 산업용 IoT 분야는 AI를 제조 및 산업 프로세스에 통합함으로써 성장 기회를 제공하고, AI IoT 플랫폼은 예지보전, 공정 최적화, 공급망 관리를 강화할 수 있습니다. 이 분야는 효율성 향상, 다운타임 감소, 비용 절감의 혜택을 누릴 수 있습니다.
• 의료와 원격 모니터링: AI IoT 플랫폼은 원격 환자 모니터링과 스마트 의료기기에 적용되어 의료에 혁명을 일으키고 있습니다. 이러한 플랫폼은 실시간 건강 데이터 수집 및 분석을 가능하게 하여 의료 시설의 환자 관리 및 운영 효율성을 향상시킵니다. 원격 의료와 개인 맞춤형 의료에 대한 수요 증가는 이러한 기회를 촉진하고 있습니다.
• 농업과 정밀농업: 농업에서 AI IoT 플랫폼의 통합은 정밀농업과 스마트 관개에 대한 기회를 제공합니다. 이러한 플랫폼은 작물 관리, 자원 활용, 수확량 예측을 최적화하기 위한 데이터 기반 통찰력을 제공합니다. 지속 가능하고 효율적인 농업을 추구하는 추세는 이 성장 분야를 뒷받침하고 있습니다.
• 스마트홈 및 빌딩: 스마트홈 및 빌딩 시장은 AI IoT 플랫폼의 채택으로 확대되고 있습니다. 이러한 플랫폼은 홈 오토메이션, 에너지 관리, 보안 시스템을 강화합니다. 연결되고 효율적인 주거 공간에 대한 수요가 증가함에 따라 이 응용 분야에서 성장 기회를 창출하고 있습니다.

이러한 전략적 성장 기회는 AI IoT 플랫폼의 다양한 용도와 잠재력을 강조하고 있습니다. 스마트시티, 산업용 IoT, 의료, 농업, 스마트홈에 집중함으로써 기업은 확장하는 시장에 진입하고 새로운 요구에 대응하며 AI IoT 분야의 혁신과 성장을 가속할 수 있습니다.

AI IoT 플랫폼 시장 활성화 요인 및 과제

AI IoT 플랫폼 시장은 기술, 경제, 규제 요인을 포함한 다양한 촉진요인 및 과제에 영향을 받고 있습니다.

AI IoT 플랫폼 시장 성장 촉진요인으로는 다음과 같은 것들이 있다:

• 기술적 진보: AI 및 IoT 기술의 급속한 발전은 플랫폼의 기능을 강화하고 응용 분야를 확대하여 시장 성장을 가속할 것입니다. 엣지 컴퓨팅, 고급 알고리즘, 스마트 센서와 같은 기술 혁신은 AI IoT 플랫폼의 성능과 기능을 향상시켜 채택과 개발을 촉진할 것입니다.
• 자동화 수요 증가: 제조, 의료, 스마트시티 등 다양한 분야에서 자동화 수요가 증가함에 따라 AI IoT 플랫폼의 도입이 증가하고 있습니다. 이러한 플랫폼은 효율적인 자동화 프로세스를 가능하게 하여 인건비를 절감하고 업무 효율성을 향상시킬 수 있습니다.
• 스마트 인프라의 확대: 스마트 시티와 스마트 인프라의 개발은 AI IoT 플랫폼에 대한 수요를 창출합니다. 이러한 플랫폼은 도시 자원, 교통, 공공 서비스 관리 및 최적화를 지원하여 시장 성장을 가속합니다.
• 데이터 분석에 대한 관심 증가: 데이터 기반 의사결정과 분석에 대한 관심이 높아지면서 AI IoT 플랫폼에 대한 수요가 증가하고 있습니다. 이러한 플랫폼이 제공하는 고급 분석 기능을 통해 기업은 실용적인 고려 사항을 도출하고, 성과를 개선하고, 경쟁력을 강화할 수 있습니다.
• 정부 지원 정책: 디지털 전환, 스마트 인프라, 지속 가능한 기술을 촉진하는 정부의 이니셔티브와 정책이 AI IoT 플랫폼 시장의 성장을 뒷받침하고 있습니다. 기술 개발을 위한 자금 조달과 인센티브는 기술 혁신과 시장 확대를 촉진합니다.

AI IoT 플랫폼 시장의 과제는 다음과 같습니다:

• 사이버 보안 문제: 사이버 보안 위협과 취약성은 AI IoT 플랫폼 시장에 큰 도전이 되고 있습니다. 데이터 보호를 보장하고 무단 액세스를 방지하기 위해서는 강력한 보안 조치와 끊임없는 경계가 필요하며, 이는 IoT 솔루션의 개발 및 도입에 영향을 미치고 있습니다.
• 통합 및 상호운용성 문제: 조직이 다양한 IoT 기기 및 플랫폼을 도입할 때 통합 및 상호운용성 문제가 발생하며, AI IoT 솔루션을 효과적으로 도입하기 위해서는 서로 다른 시스템 및 표준 간의 원활한 통신과 호환성을 보장하는 것이 필수적입니다.
• 높은 도입 비용: 하드웨어, 소프트웨어, 인프라를 포함한 AI IoT 플랫폼의 도입 비용은 도입 장벽이 될 수 있습니다. 높은 초기 투자 비용과 지속적인 유지보수 비용으로 인해 일부 조직은 이러한 기술 도입을 주저하는 경우가 있습니다.

이러한 촉진요인 및 과제는 성장과 시장 개척에 영향을 미치면서 AI IoT 플랫폼 시장을 형성합니다. 기술 발전, 자동화 수요, 스마트 인프라 확대, 데이터 분석에 대한 관심, 지원 정책 등이 시장 확대의 원동력이 되는 반면, 사이버 보안 우려, 통합 문제, 높은 비용 등이 과제로 작용할 수 있습니다. 균형을 맞추는 것이 중요합니다.

목차

제1장 주요 요약

제2장 세계의 AI IoT 플랫폼 시장 : 시장 역학

• 서론, 배경, 분류
• 공급망
• 업계 촉진요인과 과제

제3장 시장 동향과 예측 분석(2019-2031년)

• 거시경제 동향(2019-2024년)과 예측(2025-2031년)
• 세계의 AI IoT 플랫폼 시장 동향(2019-2024년)과 예측(2025-2031년)
• 세계의 AI IoT 플랫폼 시장 : 유형별
  • 지능형 단말기 제품
  • 기술 서비스
• 세계의 AI IoT 플랫폼 시장 : 용도별
  • 제조업
  • 의료
  • 에너지 및 유틸리티
  • 기타

제4장 지역별 시장 동향과 예측 분석(2019-2031년)

• 세계의 AI IoT 플랫폼 시장 : 지역별
• 북미의 AI IoT 플랫폼 시장
• 유럽의 AI IoT 플랫폼 시장
• 아시아태평양의 AI IoT 플랫폼 시장
• 기타 지역의 AI IoT 플랫폼 시장

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 운영 통합
• Porter의 Five Forces 분석

제6장 성장 기회와 전략 분석

• 성장 기회 분석
  • 세계의 AI IoT 플랫폼 시장 성장 기회 : 유형별
  • 세계의 AI IoT 플랫폼 시장 성장 기회 : 용도별
  • 세계의 AI IoT 플랫폼 시장 성장 기회 : 지역별
• 세계 AI IoT 플랫폼 시장의 새로운 동향
• 전략적 분석
  • 신제품 개발
  • 세계의 AI IoT 플랫폼 시장 생산능력 확대
  • 세계 AI IoT 플랫폼 시장에서의 인수합병(M&A) 및 합작투자(JV)
  • 인증 및 라이선싱

제7장 주요 기업 개요

• IBM
• Sharp Global
• Google
• AWS
• Microsoft
• Oracle
• HPE
• Cisco
• Intel
• Tencent Cloud

영문목차

The future of the global AI IoT platform market looks promising with opportunities in the manufacturing, health care, and energy & utility markets. The global AI IoT platform market is expected to grow with a CAGR of 24.8% from 2025 to 2031. The major drivers for this market are the increasing adoption of AI for data analysis & decision-making, rising focus on automation & optimization across industries, and growing demand for connected devices & smart technologies.

• Lucintel forecasts that, within the type category, intelligent terminal product is expected to witness higher growth over the forecast period.
• Within the application category, manufacturing is expected to witness the highest growth.
• In terms of regions, APAC is expected to witness the highest growth over the forecast period.

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Emerging Trends in the AI IoT Platform Market

The AI IoT platform market is influenced by several emerging trends that reflect advancements in technology and shifting market demands.

• Edge Computing Integration: Edge computing is becoming increasingly important as it enables data processing closer to the source of data generation. This reduces latency and bandwidth usage, improving the performance of IoT applications. Integrating edge computing with AI IoT platforms enhances real-time decision-making and supports applications requiring immediate responses, such as autonomous systems and smart manufacturing.
• Increased Focus on Cybersecurity: As IoT devices become more prevalent, the focus on cybersecurity for AI IoT platforms is intensifying. Protecting data integrity and preventing unauthorized access are critical. Advances in AI-driven security solutions are being integrated into IoT platforms to enhance threat detection and response, addressing growing concerns about data breaches and cyberattacks.
• Expansion of AI-Driven Analytics: AI-driven analytics are being increasingly embedded into IoT platforms, providing deeper insights and predictive capabilities. This trend allows organizations to leverage big data and machine learning algorithms for improved decision-making, operational efficiency, and strategic planning. Enhanced analytics capabilities are driving more sophisticated and actionable insights from IoT data.
• Growth of Smart Cities and Infrastructure: The development of smart cities and smart infrastructure is driving demand for AI IoT platforms. These platforms enable efficient management of urban resources, traffic systems, and public services. Integration with AI allows for advanced data analysis and optimization of city operations, improving quality of life and sustainability in urban areas.
• Evolution of AI and IoT Standards: The evolution of standards for AI and IoT is crucial for interoperability and integration. Efforts are underway to develop standardized protocols and frameworks that ensure compatibility across different platforms and devices. This trend facilitates seamless integration and scalability, promoting widespread adoption and innovation in the AI IoT market.

These trends are reshaping the AI IoT platform market by enhancing performance, security, and functionality. The integration of edge computing, focus on cybersecurity, expansion of AI analytics, growth of smart infrastructure, and development of standards are driving innovation and adoption, leading to more sophisticated and efficient AI IoT solutions.

Recent Developments in the AI IoT Platform Market

Several key developments are shaping the AI IoT platform market, driven by technological advancements and changing industry needs.

• Enhanced Edge AI Capabilities: The development of advanced edge AI capabilities allows for real-time data processing and analysis at the edge of the network. This reduces latency and supports applications requiring immediate decision-making, such as autonomous vehicles and smart manufacturing. Enhanced edge AI capabilities are improving the performance and responsiveness of IoT systems.
• Advanced AI Algorithms for IoT: The integration of advanced AI algorithms with IoT platforms is driving innovation. These algorithms enable more accurate data analysis, predictive maintenance, and automation. The use of sophisticated machine learning models enhances the ability of IoT platforms to provide actionable insights and improve operational efficiency.
• Growth of AI-Powered IoT Security Solutions: The rise of AI-powered security solutions is addressing the growing need for robust cybersecurity in IoT systems. AI-driven tools are enhancing threat detection, response, and prevention, safeguarding IoT devices and data from cyber threats. This development is crucial for protecting sensitive information and ensuring the integrity of IoT networks.
• Expansion of IoT in Smart Cities: The integration of IoT platforms in smart city initiatives is expanding rapidly. These platforms enable efficient management of urban resources, infrastructure, and public services. AI enhances the capabilities of these systems, allowing for better traffic management, energy optimization, and improved public safety in smart cities.
• Standardization Efforts for AI IoT: Efforts to develop standardized protocols and frameworks for AI IoT platforms are advancing. Standardization promotes interoperability and compatibility across different devices and systems, facilitating integration and scalability. This development supports the widespread adoption of AI IoT technologies and encourages innovation within the industry.

These developments highlight the rapid progress and innovation in the AI IoT platform market. Enhanced edge AI capabilities, advanced algorithms, AI-powered security, smart city integration, and standardization efforts are driving growth and shaping the future of AI IoT technologies, leading to more efficient and secure solutions.

Strategic Growth Opportunities for AI IoT Platform Market

The AI IoT platform market presents several strategic growth opportunities across various applications, driven by technological advancements and market needs.

• Smart Cities: Smart city initiatives offer significant growth opportunities for AI IoT platforms. These platforms enable the management of urban infrastructure, traffic, and public services through real-time data analysis and automation. Investing in smart city projects can lead to improved urban efficiency, sustainability, and quality of life.
• Industrial IoT (IIoT): The industrial IoT sector presents opportunities for growth by integrating AI with manufacturing and industrial processes. AI IoT platforms can enhance predictive maintenance, process optimization, and supply chain management. This sector benefits from increased efficiency, reduced downtime, and cost savings.
• Healthcare and Remote Monitoring: AI IoT platforms are revolutionizing healthcare with applications in remote patient monitoring and smart medical devices. These platforms enable real-time health data collection and analysis, improving patient care and operational efficiency in healthcare facilities. The growing demand for telehealth and personalized medicine drives this opportunity.
• Agriculture and Precision Farming: The integration of AI IoT platforms in agriculture offers opportunities for precision farming and smart irrigation. These platforms provide data-driven insights for optimizing crop management, resource use, and yield prediction. The trend toward sustainable and efficient farming practices supports this growth area.
• Smart Homes and Buildings: The market for smart homes and buildings is expanding with the adoption of AI IoT platforms. These platforms enhance home automation, energy management, and security systems. The increasing demand for connected and efficient living spaces presents opportunities for growth in this application area.

These strategic growth opportunities highlight the diverse applications and potential of AI IoT platforms. By focusing on smart cities, industrial IoT, healthcare, agriculture, and smart homes, companies can tap into expanding markets and address emerging needs, driving innovation and growth in the AI IoT sector.

AI IoT Platform Market Driver and Challenges

The AI IoT platform market is influenced by various drivers and challenges, including technological, economic, and regulatory factors.

The factors responsible for driving the AI IoT platform market include:

• Technological Advancements: Rapid advancements in AI and IoT technologies drive market growth by enhancing platform capabilities and expanding application areas. Innovations such as edge computing, advanced algorithms, and smart sensors improve the performance and functionality of AI IoT platforms, fostering adoption and development.
• Increasing Demand for Automation: The growing demand for automation in various sectors, including manufacturing, healthcare, and smart cities, drives the adoption of AI IoT platforms. These platforms enable efficient, automated processes, reducing labor costs and improving operational efficiency.
• Expansion of Smart Infrastructure: The development of smart cities and smart infrastructure creates a demand for AI IoT platforms. These platforms support the management and optimization of urban resources, transportation, and public services, driving growth in the market.
• Rising Focus on Data Analytics: The increasing emphasis on data-driven decision-making and analytics boosts the demand for AI IoT platforms. Advanced analytics capabilities provided by these platforms enable organizations to derive actionable insights, improve performance, and gain a competitive edge.
• Supportive Government Policies: Government initiatives and policies promoting digital transformation, smart infrastructure, and sustainable technologies support the growth of the AI IoT platform market. Funding and incentives for technology development encourage innovation and market expansion.

Challenges in the AI IoT platform market include:

• Cybersecurity Concerns: Cybersecurity threats and vulnerabilities pose significant challenges to the AI IoT platform market. Ensuring data protection and preventing unauthorized access require robust security measures and constant vigilance, impacting the development and adoption of IoT solutions.
• Integration and Interoperability Issues: Integration and interoperability challenges arise as organizations deploy diverse IoT devices and platforms. Ensuring seamless communication and compatibility across different systems and standards is essential for the effective implementation of AI IoT solutions.
• High Implementation Costs: The cost of implementing AI IoT platforms, including hardware, software, and infrastructure, can be a barrier to adoption. High initial investments and ongoing maintenance costs may deter some organizations from adopting these technologies.

These drivers and challenges shape the AI IoT platform market by influencing growth and development. Technological advancements, automation demand, smart infrastructure expansion, data analytics focus, and supportive policies drive market expansion, while cybersecurity concerns, integration issues, and high costs present challenges. Balancing these factors is crucial for the successful deployment and adoption of AI IoT platforms.

List of AI IoT Platform Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies AI IoT platform companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI IoT platform companies profiled in this report include-

• IBM
• Sharp Global
• Google
• AWS
• Microsoft
• Oracle
• HPE
• Cisco
• Intel
• Tencent Cloud

AI IoT Platform by Segment

The study includes a forecast for the global AI IoT platform market by type, application, and region.

AI IoT Platform Market by Type [Analysis by Value from 2019 to 2031]:

• Intelligent Terminal Products
• Technical Services

AI IoT Platform Market by Application [Analysis by Value from 2019 to 2031]:

• Manufacturing
• Health Care
• Energy & Utilities
• Others

AI IoT Platform Market by Region [Analysis by Value from 2019 to 2031]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the AI IoT Platform Market

The AI IoT platform market is rapidly evolving as technology advances and organizations seek to harness the power of artificial intelligence (AI) and the Internet of Things (IoT) to drive innovation and efficiency. These platforms integrate AI capabilities with IoT infrastructure, enabling smarter, more automated, and data-driven solutions. Key developments across different regions reflect local priorities and technological progress, influencing how these platforms are used in various industries.

• United States: In the U.S., the AI IoT platform market is marked by significant advancements in AI-driven analytics and edge computing. Companies are increasingly adopting platforms that leverage machine learning and real-time data processing to enhance decision-making and operational efficiency. Integration with cloud services and the expansion of 5G networks are also contributing to growth, enabling faster data transfer and more robust IoT applications.
• China: China is rapidly advancing in the AI IoT platform space, driven by extensive investments in smart cities and industrial automation. Chinese firms are focusing on developing advanced AI algorithms and integrating them with IoT systems for applications in manufacturing, transportation, and urban management. Government policies and funding are supporting the development of these technologies, positioning China as a key player in the global AI IoT landscape.
• Germany: Germany is leading in the AI IoT platform market with a strong emphasis on industrial IoT (IIoT) and smart manufacturing. German companies are adopting platforms that combine AI with IoT to enhance production efficiency, predictive maintenance, and supply chain management. The country's focus on Industry 4.0 and its robust industrial base are driving innovations and applications of AI IoT platforms in the manufacturing and engineering sectors.
• India: In India, the AI IoT platform market is experiencing growth driven by the increasing adoption of smart infrastructure and agricultural technology. Indian firms are leveraging AI IoT platforms for applications in smart cities, energy management, and precision agriculture. The focus is on cost-effective solutions and scalable platforms that address local needs and support the country's rapid urbanization and technological development.
• Japan: Japan is focusing on integrating AI with IoT platforms to advance robotics, smart homes, and autonomous vehicles. Recent developments include sophisticated AI algorithms for enhanced automation and IoT solutions that support Japan's aging population through smart healthcare technologies. Japanese companies are investing in AI IoT platforms to improve efficiency and quality of life through advanced technology applications in both industrial and consumer sectors.

Features of the Global AI IoT Platform Market

Market Size Estimates: AI IoT platform market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

Segmentation Analysis: AI IoT platform market size by type, application, and region in terms of value ($B).

Regional Analysis: AI IoT platform market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI IoT platform market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI IoT platform market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the AI IoT platform market by type (intelligent terminal products and technical services), application (manufacturing, health care, energy & utilities, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global AI IoT Platform Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global AI IoT Platform Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global AI IoT Platform Market by Type
  • 3.3.1: Intelligent Terminal Products
  • 3.3.2: Technical Services
• 3.4: Global AI IoT Platform Market by Application
  • 3.4.1: Manufacturing
  • 3.4.2: Health Care
  • 3.4.3: Energy & Utilities
  • 3.4.4: Others

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global AI IoT Platform Market by Region
• 4.2: North American AI IoT Platform Market
  • 4.2.1: North American Market by Type: Intelligent Terminal Products and Technical Services
  • 4.2.2: North American Market by Application: Manufacturing, Health Care, Energy & Utilities, and Others
• 4.3: European AI IoT Platform Market
  • 4.3.1: European Market by Type: Intelligent Terminal Products and Technical Services
  • 4.3.2: European Market by Application: Manufacturing, Health Care, Energy & Utilities, and Others
• 4.4: APAC AI IoT Platform Market
  • 4.4.1: APAC Market by Type: Intelligent Terminal Products and Technical Services
  • 4.4.2: APAC Market by Application: Manufacturing, Health Care, Energy & Utilities, and Others
• 4.5: ROW AI IoT Platform Market
  • 4.5.1: ROW Market by Type: Intelligent Terminal Products and Technical Services
  • 4.5.2: ROW Market by Application: Manufacturing, Health Care, Energy & Utilities, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global AI IoT Platform Market by Type
  • 6.1.2: Growth Opportunities for the Global AI IoT Platform Market by Application
  • 6.1.3: Growth Opportunities for the Global AI IoT Platform Market by Region
• 6.2: Emerging Trends in the Global AI IoT Platform Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global AI IoT Platform Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI IoT Platform Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: IBM
• 7.2: Sharp Global
• 7.3: Google
• 7.4: AWS
• 7.5: Microsoft
• 7.6: Oracle
• 7.7: HPE
• 7.8: Cisco
• 7.9: Intel
• 7.10: Tencent Cloud