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市场调查报告书
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物联网人工智慧市场：按应用、垂直产业、元件类型、连接技术和部署模式划分－2025-2032年全球预测

Artificial Intelligence in IoT Market by Application, Industry Vertical, Component Type, Connectivity Technology, Deployment Model - Global Forecast 2025-2032
出版日期: | 出版商: 360iResearch | 英文 191 Pages | 商品交期: 最快1-2个工作天内

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预计到 2032 年，物联网人工智慧市场规模将成长至 400.1 亿美元，复合年增长率为 17.85%。

关键市场统计数据
基准年2024年 107.5亿美元
预计年份：2025年 126.5亿美元
预测年份 2032 400.1亿美元
复合年增长率 (%) 17.85%

人工智慧与物联网的整合被视为一项策略要务，它将重新定义工程实践、采购选择和营运价值创造。

物联网和整合人工智慧正在再形成组织在营运和客户服务领域感知、决策和行动的方式。本文概述了推动分散式智慧发展的关键技术和组织趋势：分析从集中式云端迁移到边缘运算、低功耗广域连接的成熟以及能够获取新型远端检测资料的专用感测器的普及。这些技术赋能因素，加上优先考虑模组化、互通性和安全性设计的软体架构的演进，正在支援产品和服务更快的迭代週期。

同样重要的是推动科技普及的组织变革。工程团队正变得日益韧体、资料科学和云端工程等领域的技能，以提供端到端的价值。采购和监管部门也正在进行调整，以管理更多元化的供应商生态系统，其中包括半导体供应商、连接专家、平台提供者和系统整合商。最终，关于部署模式、组件采购和整合合作伙伴的策略决策将对营运和商业产生直接影响。

最后，引言部分将相关人员置于更广泛的策略利益框架下进行分析。那些基于明确用例（例如提高资产运作、优化能源消耗和创造差异化的互联体验）进行技术投资的组织，能够提高效率并建立可防御的竞争优势。因此，接下来的章节将探讨变革性转变、政策影响、细分市场的细微差别、区域差异、竞争动态，以及在人工智慧和物联网快速发展的交会点上寻求应对策略的建议。

了解推动人工智慧赋能的物联网部署的深刻架构和商业变革，以及由此带来的组织营运和客户价值获取方式的重塑。

人工智慧赋能的物联网格局正经历一场变革性的转变，而这场转变不仅体现在效能的逐步提升上，也改变了系统架构和营运经济模式。其中一个显着的改变是智慧的去中心化。计算和推理功能向感测器更靠近，从而实现即时决策，并降低延迟和网路依赖性。这一转变得益于专用晶片和紧凑型机器学习模型的进步，这些模型能够在边缘设备上提供可执行的洞察，而无需持续的云端连接。

另一个重大转变是将人工智慧融入产品生命週期的各个阶段。机器学习不再局限于分析仪錶盘，而是应用于设备试运行、异常检测、预测性维护和自动化修復工作流程。因此，软体平台的角色也随之扩展，使其能够编配模型、管理资料管道，并在分散式环境中执行管治策略。随着生态系统的碎片化以及企业拼凑最佳解决方案，互通性和标准化介面变得至关重要。

同时，经营模式正从以产品为中心转变为以结果为中心。企业越来越倾向于订阅和基于结果的合同，将供应商的奖励与执行时间、能源效率和吞吐量等绩效指标挂钩。这种商业性模式的演变正在重塑采购、合约签订和供应商伙伴关係，鼓励价值链上更深入的协作以及部署后的持续优化。总而言之，这些转变需要新的能力、管治模式和合作伙伴生态系统，才能充分发挥人工智慧在物联网部署的潜力。

评估2025年关税变化对物联网供应链、製造在地化方案以及建构弹性部署方案的策略影响

2025年关税和贸易政策的调整将对物联网生态系统产生多方面的影响，包括筹资策略、零件供应以及设备製造和组装地点及方式的计算。关税调整加剧了对全球供应链的审查，促使企业重新评估供应商集中度，探索替代采购途径，并权衡单位成本优势和供应弹性之间的利弊。在此背景下，双源采购策略和策略性库存缓衝已成为应对成本突然波动的有效手段。

此外，关税也影响近岸外包和区域製造投资的相对吸引力。面临繁琐部署和严格监管要求的企业正在加快在地化生产的步伐，从而降低跨境政策波动带来的风险，并缩短关键零件的前置作业时间。这种区域化趋势也增加了对了解国内法规环境并能快速迭代硬体和软体配置的本地工程和整合合作伙伴的需求。

在技​​术方面，某些进口零件成本的上涨正在推动设计最佳化和零件整合。工程师优先考虑模组化架构和可互通的技术栈，以便在无需重大重新设计的情况下替换零件。同时，采购团队正在深化与供应商的合作，共同开发兼顾成本、性能和可製造性的零件。总而言之，这些动态因素提升了供应链情报、能够预见政策变化的合约设计以及跨职能协调的战略重要性，以确保部署计划和服务水准承诺的履行。

深入了解将应用、垂直产业、元件、连接技术和配备模式与实际部署决策连结起来的综合细分框架。

对市场区隔进行细緻入微的分析对于客製化提案和服务以及确定研发工作的优先顺序至关重要。按应用领域进行细分涵盖农业、联网汽车、医疗保健解决方案、零售体验、智慧电网专案、智慧家庭产品、智慧製造系统和交通运输服务等领域，其中智慧製造本身包含资产追踪、预测性维护、流程优化和品管等功能。这种以应用为中心的观点突显了用例需求如何影响设备生命週期考量、资料品质需求和延迟容忍度。

按行业垂直领域划分，相关市场包括农业、汽车、能源与公共、医疗保健、製造业、零售、智慧城市以及交通运输与物流。在製造业领域，汽车製造、离散製造和流程製造等子领域在监管限制、营运节奏和整合复杂性方面存在差异，凸显了垂直化解决方案和实施团队专业知识的必要性。这些垂直细分领域不仅影响产品功能集，也影响服务模式和商业条款。

连接模组、边缘设备、平台、感测器、服务和软体构成核心类别，其中连接模组可根据蓝牙、蜂窝网路、低功率广域网路、卫星和 Wi-Fi 等选项进行细分。低功耗广域网路又细分为 LoRaWAN、NB-IoT 和 Sigfox，感测器则依运动、光学、压力和温度类型分类。这种分类对于架构师至关重要，他们必须选择合适的组件组合，以满足功能需求、功耗特性和生命週期成本。

最后，按连接技术和部署模式进行分类，揭示了连接方面的蓝牙、蜂窝网路、乙太网路、低功耗广域网路 (LPWAN)、卫星和 Wi-Fi 等技术的采用模式，以及部署方面的云端、混合和本地部署模式。云端部署模式可以进一步细分为社群云端、私有云端和公共云端，而混合部署方式则包含边缘混合和多重云端混合配置。了解这些细微差别有助于产品经理和解决方案架构师根据不同客户群的采购偏好和营运限制，调整其技术蓝图。

物联网和人工智慧应用的区域比较分析突显了基础设施差异、监管重点和区域市场准入需求。

区域动态对人工智慧赋能的物联网计划的策略和执行有显着影响，因为不同地区的管理体制、基础设施成熟度和客户期望差异巨大。在美洲，成熟的创投环境以及完善的云端和企业生态系统为先进远端检测和连接服务的投资需求仍然强劲。该地区通常作为商业模式的试验场，这些模式随后会扩展到全球，并优先考虑整合速度和差异化功能。

欧洲、中东和非洲的监管和基础设施环境复杂。保护条例和政策、能源转型政策以及区域产业策略影响部署重点，因此该地区的企业通常需要强大的资料管治和在地化能力。此外，智慧城市和公共产业等公共部门措施也是重要的需求驱动因素，这需要较长的销售週期和完善的合规流程。

亚太地区消费和工业领域的快速发展是其显着特征，这主要得益于製造业的数位化和对智慧基础设施的大规模投资。该地区既包括拥有强大半导体和元件能力的已开发市场，也包括以连接性和价格承受能力为主导的新兴市场。因此，在该地区取得成功的关键在于平衡可扩展的平台架构和经济高效的硬件，以及能够适应不同营运商和监管环境的灵活部署模式。

综合来看，区域策略应充分考虑该区域的合作伙伴生态系统、人才储备和政策环境。拓展至这些区域的公司可以受益于差异化的市场进入计划，这些计划应反映基础设施的完善程度、监管要求和最终用户的期望。

探索竞争格局，了解创新者、平台供应商和整合商如何建立生态系统，以加速部署并推动基于结果的差异化。

人工智慧赋能的物联网领域的竞争格局正由众多专业组件供应商、平台供应商、系统整合商和服务公司共同塑造，他们携手打造企业所需的解决方案。晶片组和感测器製造商持续投资于低功耗处理和整合安全功能等细分领域，从而降低整合成本并加快部署速度。连结专家则透过网路品质、全球漫游协定以及简化配置和生命週期管理的开发者工具来脱颖而出。

平台和软体供应商在设备支援范围、分析深度和模型管理能力方面展开竞争。该领域的佼佼者往往提供可扩展至异质设备群的模组化架构，同时提供强大的资料管治、模型部署和监控功能。系统整合和託管服务供应商透过结合深厚的专业知识和营运服务来创造价值，并负责满足端到端的效能指标和服务等级协定 (SLA)。

策略伙伴关係与协同创新正成为竞争优势的核心。能够促成晶片製造商、连接服务供应商以及云端或边缘基础设施营运商之间建立牢固联盟的供应商，可以提供更整合、风险更低的服务。同时，拥有专业知识的新参与企业也有机会抓住细分市场机会，例如专注于製造品质或能源优化的分析服务。最终，成功的竞争者将取决于其产品蓝图、合作伙伴生态系统和服务能力是否与客户预期目标相契合，而非仅仅罗列一系列功能。

产业领导者采取具体策略行动，使架构、供应链、管治和商业模式与可衡量的业务成果保持一致。

希望从人工智慧整合物联网中获取策略价值的领导者应制定一套切实可行的优先事项，使技术投资与商业性成果保持一致。首先，应根据可衡量的业务影响和清晰的部署路径来确定用例的优先顺序。这种做法可以降低实验成本，并有助于明确业务合理性。其次，应投资于模组化架构，将硬体、连接和分析层解耦，从而实现组件替换和迭代增强，而无需彻底的重新设计。

其次，增强供应商多样性和供应链透明度可以减少中断，并维持应对政策变更和零件短缺的敏捷性。这包括与区域製造商和物流合作伙伴建立策略关係，以缩短前置作业时间并提供在地化支援。同时，建构模型管治、资料处理历程和网路安全能力，确保边缘和云端智慧在既定的道德和监管框架内运行，从而降低营运风险并维护客户信任。

最后，在适当情况下采用基于结果的商业模式，将供应商奖励与服务绩效和营运关键绩效指标 (KPI) 挂钩。这不仅能改善供应商协作，还能转变内部采购和财务实践，使其优先考虑生命週期价值而非领先成本。透过落实这些优先事项，领导者可以加快部署速度，提高服务可靠性，并从人工智慧和物联网的整合中获得差异化价值。

采用稳健的混合方法研究途径，结合从业人员参与、技术文件审查和交叉检验的比较分析，以确保获得可操作的洞见。

这些调查方法结合了定性和定量方法，以确保研究的严谨性、有效性和可重复性。主要研究包括与设备工程、资料科学、营运和采购等领域的从业人员进行结构化访谈和研讨会，以了解实际应用中的限制因素、推动产品普及的因素以及实施经验。这些研究旨在挖掘成功上市案例，揭示营运痛点、整合挑战和实际权衡取舍。

我们的二手研究整合了公开的技术文献、监管文件、专利申请和供应商技术文檔，以检验发展趋势和技术轨迹。我们也进行了跨产业和跨地区的比较分析，以识别通用模式和差异化行为，并运用情境映射来探讨政策变化、供应链中断和技术创新如何影响策略选择。在整个研究过程中，我们始终关注部署模式和方法的异质性，以确保能够捕捉到先导计画和生产规模部署之间的差异。

最后，为了减少偏差并提高结论的可靠性，我们采用了交叉检验技术，将访谈结果与已记录的案例研究和供应商能力进行比较。这种混合方法为寻求设计、采购和营运人工智慧物联网解决方案的实用指南的决策者提供了坚实的基础。

透过建构弹性供应链、模组化架构和以结果为导向的伙伴关係关係，组织扩展人工智慧赋能的物联网的策略要务概述

总之，人工智慧与物联网的融合正从孤立的试点计画走向成熟的生产级系统，带来可衡量的营运和商业性效益。边缘智慧、模组化架构和以结果为导向的商业模式正在重新定义产品的设计、采购和营运方式。那些能够严格选择用例、投资供应链韧性并加强资料和模型管治的组织，将更有利于获取持续价值。

区域和政策动态变化既带来了复杂性，也为透过在地化製造、垂直专业化和客製化合规框架实现策略差异化提供了机会。能够建立灵活整合能力、培育合作伙伴生态系统并将奖励与结果而非领先绩效挂钩的公司，将获得竞争优势。随着技术和商业环境的不断演变，持续学习、快速迭代和深思熟虑的伙伴关係对于成功扩展人工智慧驱动的物联网倡议仍然至关重要。

这些结论应该指导高阶主管和技术领导者在确定投资优先顺序、重组团队以及选择能够提供弹性、可扩展和安全解决方案的合作伙伴时，满足短期营运目标和长期策略指南。

目录

第一章：序言

第二章调查方法

第三章执行摘要

第四章 市场概览

第五章 市场洞察

  • 推出一种面向分散式物联网医疗感测器的隐私保护型人工智慧分析的联邦学习框架
  • 整合节能型边缘人工智慧加速器，以支援电池供电的智慧城市感测器进行即时分析。
  • 将人工智慧驱动的数位双胞胎平台整合到工业IoT系统中，用于预测性维护和流程优化。
  • 在物联网安全闸道中使用可解释的人工智慧框架，以增强关键基础设施网路中透明的威胁侦测。
  • 在边缘物联网节点中采用神经型态模组，以降低机器人控制中的延迟和能耗。
  • 人工智慧与 5G 连线结合的触觉网路生态系统的出现，将实现自主设备的超可靠、低延迟远端操作。
  • 扩展云端原生 AI编配服务，以整合跨域物联网资料流，进行全面分析与决策。

第六章：美国关税的累积影响，2025年

第七章：人工智慧的累积影响，2025年

第八章 物联网人工智慧市场（按应用划分）

  • 农业
  • 联网汽车
  • 卫生保健
  • 零售
  • 智慧电网
  • 智慧家庭
  • 智慧製造
    • 资产追踪
    • 预测性维护
    • 流程优化
    • 品管
  • 运输

第九章 物联网人工智慧市场（按产业垂直领域划分）

  • 农业
  • 车
  • 能源与公共产业
  • 卫生保健
  • 製造业
    • 汽车製造
    • 离散製造
    • 流程製造
  • 零售
  • 智慧城市
  • 运输/物流

第十章 物联网市场中的人工智慧（按组件类型划分）

  • 连接模组
    • Bluetooth
    • 细胞
    • LPWAN
      • LoRaWAN
      • NB-IoT
      • Sigfox
    • 卫星
    • Wi-Fi
  • 边缘设备
  • 平台
  • 感应器
    • 动作感测器
    • 光学感测器
    • 压力感测器
    • 温度感测器
  • 服务
  • 软体

第十一章 物联网市场中的人工智慧—连结技术

  • Bluetooth
  • 细胞
  • 乙太网路
  • LPWAN
    • LoRaWAN
    • NB-IoT
    • Sigfox
  • 卫星
  • Wi-Fi

第十二章 物联网人工智慧市场：依部署模式划分

  • 云
    • 社群云端
    • 私有云端
    • 公共云端
  • 杂交种
    • 边缘混合型
    • 多重云端混合
  • 本地部署

第十三章 物联网市场中的人工智慧（按地区划分）

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 欧洲、中东和非洲
    • 欧洲
    • 中东
    • 非洲
  • 亚太地区

第十四章 物联网人工智慧市场（按群体划分）

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第十五章 各国物联网市场中的人工智慧

  • 美国
  • 加拿大
  • 墨西哥
  • 巴西
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 义大利
  • 西班牙
  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国

第十六章 竞争格局

  • 2024年市占率分析
  • FPNV定位矩阵，2024
  • 竞争分析
    • Amazon.com, Inc.
    • Microsoft Corporation
    • Alphabet Inc.
    • International Business Machines Corporation
    • Cisco Systems, Inc.
    • Intel Corporation
    • Huawei Technologies Co., Ltd.
    • Siemens Aktiengesellschaft
    • NVIDIA Corporation
    • Hitachi, Ltd.
Product Code: MRR-031BF22F947F

The Artificial Intelligence in IoT Market is projected to grow by USD 40.01 billion at a CAGR of 17.85% by 2032.

KEY MARKET STATISTICS
Base Year [2024] USD 10.75 billion
Estimated Year [2025] USD 12.65 billion
Forecast Year [2032] USD 40.01 billion
CAGR (%) 17.85%

Framing the convergence of artificial intelligence and IoT as a strategic imperative that redefines engineering practices, procurement choices, and operational value creation

Artificial intelligence integrated with the Internet of Things is reshaping how organizations sense, decide, and act across operational and customer-facing domains. This introduction frames the major technological and organizational currents that are enabling distributed intelligence: the migration of analytics from centralized clouds to edge compute, the maturation of low-power wide-area connectivity, and the proliferation of specialized sensors that unlock new telemetry streams. These technological enablers are coupled with evolving software architectures that prioritize modularity, interoperability, and security by design, which together support faster iteration cycles for products and services.

Equally important are the organizational changes driving adoption. Engineering teams are increasingly multidisciplinary, combining firmware, data science, and cloud engineering skills to deliver end-to-end value. Procurement and regulatory functions are adapting to manage a more diverse supplier ecosystem composed of semiconductor vendors, connectivity specialists, platform providers, and systems integrators. The result is a landscape where strategic decisions about deployment models, component sourcing, and integration partners have immediate operational and commercial ramifications.

Finally, the introduction situates stakeholders within the broader strategic stakes. Organizations that align technology investments with clear use cases-whether improving asset uptime, optimizing energy consumption, or creating differentiated connected experiences-stand to capture efficiencies and create defensible advantages. As such, the subsequent sections explore transformational shifts, policy impacts, segmentation nuances, regional variations, competitive dynamics, and recommended actions to navigate the rapidly evolving intersection of AI and IoT.

Understanding the profound architectural and commercial transformations driving AI-enabled IoT deployments and redefining how organizations capture operational and customer value

The landscape for AI-enabled IoT is undergoing transformative shifts that extend beyond incremental performance improvements and instead alter the architecture of systems and the economics of operations. One prominent shift is the decentralization of intelligence; compute and inference are moving closer to sensors, enabling real-time decisioning and reducing latency and network dependency. This transition is reinforced by advances in specialized silicon and compact machine learning models that deliver actionable insights on edge devices without constant cloud connectivity.

Another significant change is the integration of AI across lifecycle stages. Machine learning is no longer confined to analytics dashboards; it informs device commissioning, anomaly detection, predictive maintenance, and automated remediation workflows. Consequently, the role of software platforms has expanded to orchestrate models, manage data pipelines, and enforce governance policies across distributed environments. Interoperability and standardized interfaces are becoming critical as ecosystems fragment and enterprises combine best-of-breed solutions.

Concurrently, business models are evolving from product-centric to outcome-centric arrangements. Organizations increasingly favor subscription or outcome-based contracts that align vendor incentives with performance metrics such as uptime, energy efficiency, or throughput. This commercial evolution is reshaping procurement, contracting, and vendor partnerships, encouraging deeper collaboration across the value chain and incentivizing continuous post-deployment optimization. Taken together, these shifts demand new competencies, governance models, and partner ecosystems to fully harness the potential of AI in IoT deployments.

Evaluating the strategic consequences of 2025 tariff changes on IoT supply chains, manufacturing localization choices, and design imperatives for resilient deployments

The introduction of tariffs and trade policy changes in 2025 has had multifaceted effects on the IoT ecosystem, influencing sourcing strategies, component availability, and the calculus for where and how devices are manufactured and assembled. Tariff adjustments have amplified scrutiny of global supply chains, prompting organizations to reassess supplier concentration, seek alternative sourcing corridors, and evaluate the trade-offs between unit economics and supply resilience. In this environment, dual-sourcing strategies and strategic inventory buffers have gained prominence as pragmatic mitigations against abrupt cost fluctuations.

Moreover, tariffs have influenced the relative attractiveness of nearshoring and regional manufacturing investments. Firms with high-touch deployments or stringent regulatory requirements have accelerated efforts to localize production, thereby reducing exposure to cross-border policy volatility and shortening lead times for critical components. This regionalization trend has also heightened demand for local engineering and integration partners who understand domestic regulatory environments and can rapidly iterate on hardware and software configurations.

From a technology perspective, increased costs on certain imported components have incentivized design optimizations and component consolidation. Engineers are prioritizing modular architectures and interoperable stacks that allow substitution of parts without extensive redesign. Meanwhile, procurement teams are deepening collaborations with suppliers to co-develop components that balance cost, performance, and manufacturability. In aggregate, these dynamics have raised the strategic importance of supply chain intelligence, contract design that anticipates policy shifts, and cross-functional coordination to sustain deployment schedules and service-level commitments.

Delving into a comprehensive segmentation framework that links applications, verticals, components, connectivity technologies, and deployment models to practical deployment decisions

A nuanced view of market segmentation is essential for tailoring propositions and prioritizing development efforts. When considering segmentation by application, deployments span agriculture, connected car use cases, healthcare solutions, retail experiences, smart grid initiatives, smart home products, smart manufacturing systems, and transportation services, where smart manufacturing itself encompasses capabilities such as asset tracking, predictive maintenance, process optimization, and quality management. This application-focused perspective highlights how use-case requirements shape device lifecycle considerations, data quality needs, and latency tolerances.

From the industry vertical standpoint, relevant markets include agriculture, automotive, energy and utilities, healthcare, manufacturing, retail, smart cities, and transportation and logistics. Within manufacturing specifically, subdomains such as automotive manufacturing, discrete manufacturing, and process manufacturing present distinct regulatory constraints, operational rhythms, and integration complexity, emphasizing the need for verticalized solutions and domain expertise in deployment teams. These vertical distinctions inform not only product feature sets but also service models and commercial terms.

Examining component-type segmentation clarifies technology dependencies: connectivity modules, edge devices, platforms, sensors, services, and software form the core categories, with connectivity modules further differentiated by Bluetooth, cellular, low-power wide-area networking, satellite, and Wi-Fi options. Low-power wide-area networking subdivides into LoRaWAN, NB-IoT, and Sigfox, while sensors can be categorized into motion, optical, pressure, and temperature types. This taxonomy is crucial for architects who must select the appropriate mix of components to meet functional requirements, power profiles, and lifecycle costs.

Finally, segmentation by connectivity technology and by deployment model reveals adoption patterns across Bluetooth, cellular, Ethernet, LPWAN, satellite, and Wi-Fi on the connectivity side, and cloud, hybrid, and on-premises on the deployment side. Cloud deployment models can further be refined into community cloud, private cloud, and public cloud implementations, while hybrid approaches include edge hybrid and multi-cloud hybrid configurations. Understanding these nuances enables product managers and solution architects to align technical roadmaps with procurement preferences and operational constraints across customer segments.

Comparative regional analysis of IoT and AI adoption that highlights infrastructure variation, regulatory emphasis, and localized go-to-market imperatives across the globe

Regional dynamics materially influence strategy and execution for AI-enabled IoT projects as regulatory regimes, infrastructure maturity, and customer expectations vary significantly across geographies. In the Americas, investment appetite for advanced telemetry and connected services remains high, supported by a mature venture environment and well-established cloud and enterprise ecosystems. This region frequently serves as a testbed for commercial models that later scale globally, and it often prioritizes integration speed and feature differentiation.

Europe, the Middle East & Africa present a complex tapestry of regulatory and infrastructural conditions. Privacy regulations, energy transition policies, and local industrial strategies shape deployment priorities, and enterprises in this region often require strong data governance and localization capabilities. Moreover, public sector initiatives in smart cities and utilities are significant demand drivers, necessitating long sales cycles and robust compliance processes.

Asia-Pacific is characterized by rapid adoption across consumer and industrial segments, with substantial investments in manufacturing digitization and smart infrastructure. The region includes both highly advanced markets with strong semiconductor and component capabilities and emerging markets where connectivity and affordability considerations dominate. Consequently, successful approaches here balance scalable platform architectures with cost-effective hardware and flexible deployment models to accommodate heterogeneous operator and regulatory landscapes.

Taken together, regional strategies must be informed by local partner ecosystems, talent availability, and policy environments. Enterprises expanding across these regions will benefit from differentiated go-to-market plans that reflect the interplay of infrastructure readiness, regulatory imperatives, and end-user expectations.

Exploring the competitive landscape where component innovators, platform providers, and integrators form ecosystems that accelerate deployment and drive outcome-based differentiation

Competitive dynamics in the AI-enabled IoT landscape are shaped by a mix of specialized component suppliers, platform providers, systems integrators, and services firms that collectively create the solutions enterprises need. Chipset and sensor manufacturers continue to invest in domain-specific capabilities, including low-power processing and integrated security functions, which reduce integration overhead and accelerate time-to-deploy. Connectivity specialists are differentiating through network quality, global roaming agreements, and developer tooling that simplify provisioning and lifecycle management.

Platform and software vendors are competing on the breadth of device support, analytics sophistication, and model management features. The winners in this space tend to offer modular architectures that accommodate heterogeneous device fleets while providing robust data governance, model deployment, and monitoring capabilities. Systems integrators and managed service providers add value by combining deep domain knowledge with operational services, taking responsibility for end-to-end performance metrics and SLA adherence.

Strategic partnerships and co-innovation are increasingly central to competitive advantage. Vendors that cultivate strong alliances across chipmakers, connectivity providers, and cloud or edge infrastructure operators can deliver more integrated, lower-risk offerings. At the same time, there is room for new entrants that bring focused expertise-such as specialized analytics for manufacturing quality or energy optimization-to capture niche opportunities. Ultimately, competitive success depends on aligning product roadmaps, partner ecosystems, and service capabilities to customer outcomes rather than feature checklists.

Concrete strategic actions for industry leaders to align architectures, supply chains, governance, and commercial models with measurable operational outcomes

Leaders seeking to capture strategic value from AI-integrated IoT should adopt a set of actionable priorities that align technical investments with commercial outcomes. First, prioritize use-case selection based on measurable operational impact and clear adoption pathways; this focus reduces experimentation costs and sharpens business justification. Organizations should then invest in modular architectures that decouple hardware, connectivity, and analytics layers to allow component substitution and iterative enhancement without wholesale redesign.

Next, strengthen supplier diversity and supply chain visibility to mitigate disruptions and maintain agility in response to policy changes or component shortages. This includes developing strategic relationships with regional manufacturers and logistics partners to shorten lead times and enable localized support. Concurrently, build capabilities for model governance, data lineage, and cybersecurity to ensure that edge and cloud intelligence operate within defined ethical and regulatory boundaries, reducing operational risk and protecting customer trust.

Finally, adopt outcome-based commercial models where appropriate, aligning vendor incentives with service performance and operational KPIs. This not only improves vendor collaboration but also shifts internal procurement and finance practices to prioritize lifecycle value over upfront costs. By executing against these priorities, leaders can accelerate deployment velocity, enhance service reliability, and capture differentiated value from the intersection of AI and IoT.

A robust mixed-methods research approach combining practitioner engagement, technical documentation review, and cross-validated comparative analysis to ensure actionable insights

The research methodology underpinning these insights combines qualitative and quantitative approaches to ensure rigor, relevance, and reproducibility. Primary research includes structured interviews and workshops with practitioners across device engineering, data science, operations, and procurement to capture real-world constraints, adoption drivers, and deployment experiences. These engagements are designed to surface operational pain points, integration challenges, and successful go-to-market approaches that illuminate practical trade-offs.

Secondary research synthesizes publicly available technical literature, regulatory documents, patent filings, and vendor technical documentation to validate trends and technology trajectories. Comparative analysis across verticals and regions was used to identify common patterns and divergent behaviors, while scenario mapping helped explore how policy shifts, supply chain disruptions, and technological innovations could influence strategic choices. Throughout, attention was paid to ensuring that methods captured the heterogeneity of deployment models and the differences between pilot projects and production-scale rollouts.

Finally, cross-validation techniques were applied by comparing interview findings with documented case studies and vendor capabilities to reduce bias and increase confidence in the conclusions. This mixed-methods approach provides a robust foundation for decision-makers seeking actionable guidance on designing, sourcing, and operating AI-enabled IoT solutions.

Summarizing the strategic imperatives for organizations to scale AI-enabled IoT with resilient supply chains, modular architectures, and outcome-aligned partnerships

In conclusion, the integration of artificial intelligence with the Internet of Things is maturing from isolated pilots to production-grade systems that deliver measurable operational and commercial benefits. The trend toward edge intelligence, modular architectures, and outcome-oriented commercial models is redefining how products are designed, procured, and operated. Organizations that adopt disciplined use-case selection, invest in supply chain resilience, and enforce strong governance around data and models will be best positioned to capture sustained value.

Regional and policy dynamics introduce complexity but also create opportunities for strategic differentiation through localized manufacturing, vertical specialization, and tailored compliance frameworks. Competitive advantage will accrue to firms that build flexible integration capabilities, cultivate partner ecosystems, and align incentives with performance outcomes rather than upfront specifications. As the technology and commercial landscapes continue to evolve, continuous learning, rapid iteration, and deliberate partnerships will remain essential to scaling AI-enabled IoT initiatives successfully.

These conclusions should guide executives and technical leaders as they prioritize investments, reconfigure teams, and select partners that can deliver resilient, scalable, and secure solutions that meet both near-term operational objectives and long-term strategic goals.

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

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Deployment of federated learning frameworks for privacy-preserving AI analytics across distributed IoT healthcare sensors
  • 5.2. Integration of energy-efficient edge AI accelerators to enable real-time analytics in battery-powered smart city sensors
  • 5.3. Implementation of AI-driven digital twin platforms in industrial IoT systems for predictive maintenance and process optimization
  • 5.4. Use of explainable AI frameworks in IoT security gateways to enhance transparent threat detection in critical infrastructure networks
  • 5.5. Adoption of neuromorphic computing modules within edge IoT nodes to reduce latency and energy consumption in robotics control
  • 5.6. Emergence of tactile internet ecosystems combining AI and 5G connectivity for ultra-reliable low-latency remote operation of autonomous devices
  • 5.7. Scaling cloud-native AI orchestration services to unify cross-domain IoT data streams for comprehensive analytics and decision making

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Artificial Intelligence in IoT Market, by Application

  • 8.1. Agriculture
  • 8.2. Connected Car
  • 8.3. Healthcare
  • 8.4. Retail
  • 8.5. Smart Grid
  • 8.6. Smart Home
  • 8.7. Smart Manufacturing
    • 8.7.1. Asset Tracking
    • 8.7.2. Predictive Maintenance
    • 8.7.3. Process Optimization
    • 8.7.4. Quality Management
  • 8.8. Transportation

9. Artificial Intelligence in IoT Market, by Industry Vertical

  • 9.1. Agriculture
  • 9.2. Automotive
  • 9.3. Energy & Utilities
  • 9.4. Healthcare
  • 9.5. Manufacturing
    • 9.5.1. Automotive Manufacturing
    • 9.5.2. Discrete Manufacturing
    • 9.5.3. Process Manufacturing
  • 9.6. Retail
  • 9.7. Smart Cities
  • 9.8. Transportation & Logistics

10. Artificial Intelligence in IoT Market, by Component Type

  • 10.1. Connectivity Modules
    • 10.1.1. Bluetooth
    • 10.1.2. Cellular
    • 10.1.3. LPWAN
      • 10.1.3.1. LoRaWAN
      • 10.1.3.2. NB-IoT
      • 10.1.3.3. Sigfox
    • 10.1.4. Satellite
    • 10.1.5. Wi-Fi
  • 10.2. Edge Devices
  • 10.3. Platform
  • 10.4. Sensors
    • 10.4.1. Motion Sensors
    • 10.4.2. Optical Sensors
    • 10.4.3. Pressure Sensors
    • 10.4.4. Temperature Sensors
  • 10.5. Services
  • 10.6. Software

11. Artificial Intelligence in IoT Market, by Connectivity Technology

  • 11.1. Bluetooth
  • 11.2. Cellular
  • 11.3. Ethernet
  • 11.4. LPWAN
    • 11.4.1. LoRaWAN
    • 11.4.2. NB-IoT
    • 11.4.3. Sigfox
  • 11.5. Satellite
  • 11.6. Wi-Fi

12. Artificial Intelligence in IoT Market, by Deployment Model

  • 12.1. Cloud
    • 12.1.1. Community Cloud
    • 12.1.2. Private Cloud
    • 12.1.3. Public Cloud
  • 12.2. Hybrid
    • 12.2.1. Edge Hybrid
    • 12.2.2. Multi-Cloud Hybrid
  • 12.3. On-Premises

13. Artificial Intelligence in IoT Market, by Region

  • 13.1. Americas
    • 13.1.1. North America
    • 13.1.2. Latin America
  • 13.2. Europe, Middle East & Africa
    • 13.2.1. Europe
    • 13.2.2. Middle East
    • 13.2.3. Africa
  • 13.3. Asia-Pacific

14. Artificial Intelligence in IoT Market, by Group

  • 14.1. ASEAN
  • 14.2. GCC
  • 14.3. European Union
  • 14.4. BRICS
  • 14.5. G7
  • 14.6. NATO

15. Artificial Intelligence in IoT Market, by Country

  • 15.1. United States
  • 15.2. Canada
  • 15.3. Mexico
  • 15.4. Brazil
  • 15.5. United Kingdom
  • 15.6. Germany
  • 15.7. France
  • 15.8. Russia
  • 15.9. Italy
  • 15.10. Spain
  • 15.11. China
  • 15.12. India
  • 15.13. Japan
  • 15.14. Australia
  • 15.15. South Korea

16. Competitive Landscape

  • 16.1. Market Share Analysis, 2024
  • 16.2. FPNV Positioning Matrix, 2024
  • 16.3. Competitive Analysis
    • 16.3.1. Amazon.com, Inc.
    • 16.3.2. Microsoft Corporation
    • 16.3.3. Alphabet Inc.
    • 16.3.4. International Business Machines Corporation
    • 16.3.5. Cisco Systems, Inc.
    • 16.3.6. Intel Corporation
    • 16.3.7. Huawei Technologies Co., Ltd.
    • 16.3.8. Siemens Aktiengesellschaft
    • 16.3.9. NVIDIA Corporation
    • 16.3.10. Hitachi, Ltd.

LIST OF FIGURES

  • FIGURE 1. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY APPLICATION, 2024 VS 2032 (%)
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY INDUSTRY VERTICAL, 2024 VS 2032 (%)
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY INDUSTRY VERTICAL, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COMPONENT TYPE, 2024 VS 2032 (%)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COMPONENT TYPE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2024 VS 2032 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY DEPLOYMENT MODEL, 2024 VS 2032 (%)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY DEPLOYMENT MODEL, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 13. AMERICAS ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 14. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 15. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 16. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 17. EUROPE ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 18. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 19. AFRICA ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 20. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 22. ASEAN ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 23. GCC ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 24. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 25. BRICS ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 26. G7 ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 27. NATO ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 29. ARTIFICIAL INTELLIGENCE IN IOT MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 30. ARTIFICIAL INTELLIGENCE IN IOT MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN IOT MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, 2025-2032 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AGRICULTURE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AGRICULTURE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AGRICULTURE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AGRICULTURE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AGRICULTURE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AGRICULTURE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTED CAR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTED CAR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTED CAR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTED CAR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTED CAR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTED CAR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY HEALTHCARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY HEALTHCARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY HEALTHCARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY HEALTHCARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY HEALTHCARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY RETAIL, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY RETAIL, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY RETAIL, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY RETAIL, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY RETAIL, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY RETAIL, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART GRID, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART GRID, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART GRID, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART GRID, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART GRID, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART GRID, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART HOME, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART HOME, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART HOME, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART HOME, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART HOME, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART HOME, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART MANUFACTURING, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART MANUFACTURING, 2025-2032 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART MANUFACTURING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART MANUFACTURING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART MANUFACTURING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART MANUFACTURING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART MANUFACTURING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART MANUFACTURING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ASSET TRACKING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ASSET TRACKING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ASSET TRACKING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ASSET TRACKING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ASSET TRACKING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ASSET TRACKING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PROCESS OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PROCESS OPTIMIZATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PROCESS OPTIMIZATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PROCESS OPTIMIZATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PROCESS OPTIMIZATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PROCESS OPTIMIZATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY QUALITY MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY QUALITY MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY QUALITY MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY QUALITY MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY QUALITY MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY QUALITY MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TRANSPORTATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TRANSPORTATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TRANSPORTATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TRANSPORTATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TRANSPORTATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TRANSPORTATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY INDUSTRY VERTICAL, 2025-2032 (USD MILLION)
  • TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AGRICULTURE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AGRICULTURE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AGRICULTURE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AGRICULTURE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AGRICULTURE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AGRICULTURE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AUTOMOTIVE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AUTOMOTIVE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AUTOMOTIVE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 94. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AUTOMOTIVE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 95. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 96. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 97. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ENERGY & UTILITIES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 98. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ENERGY & UTILITIES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 99. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ENERGY & UTILITIES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 100. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ENERGY & UTILITIES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 101. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 102. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY HEALTHCARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 103. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY HEALTHCARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 104. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY HEALTHCARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 105. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY HEALTHCARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 106. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY HEALTHCARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 107. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MANUFACTURING, 2018-2024 (USD MILLION)
  • TABLE 108. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MANUFACTURING, 2025-2032 (USD MILLION)
  • TABLE 109. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 110. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MANUFACTURING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 111. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MANUFACTURING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 112. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MANUFACTURING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 113. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MANUFACTURING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 114. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MANUFACTURING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 115. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AUTOMOTIVE MANUFACTURING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 116. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AUTOMOTIVE MANUFACTURING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 117. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AUTOMOTIVE MANUFACTURING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 118. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AUTOMOTIVE MANUFACTURING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 119. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AUTOMOTIVE MANUFACTURING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 120. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY AUTOMOTIVE MANUFACTURING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 121. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY DISCRETE MANUFACTURING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 122. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY DISCRETE MANUFACTURING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 123. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY DISCRETE MANUFACTURING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 124. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY DISCRETE MANUFACTURING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 125. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY DISCRETE MANUFACTURING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 126. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY DISCRETE MANUFACTURING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 127. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PROCESS MANUFACTURING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 128. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PROCESS MANUFACTURING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 129. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PROCESS MANUFACTURING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 130. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PROCESS MANUFACTURING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 131. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PROCESS MANUFACTURING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 132. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PROCESS MANUFACTURING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 133. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY RETAIL, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 134. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY RETAIL, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 135. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY RETAIL, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 136. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY RETAIL, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 137. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY RETAIL, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 138. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY RETAIL, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 139. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART CITIES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 140. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART CITIES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 141. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART CITIES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 142. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART CITIES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 143. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART CITIES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 144. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SMART CITIES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 145. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 146. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 147. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 148. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 149. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 150. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 151. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COMPONENT TYPE, 2018-2024 (USD MILLION)
  • TABLE 152. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY COMPONENT TYPE, 2025-2032 (USD MILLION)
  • TABLE 153. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTIVITY MODULES, 2018-2024 (USD MILLION)
  • TABLE 154. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTIVITY MODULES, 2025-2032 (USD MILLION)
  • TABLE 155. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTIVITY MODULES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 156. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTIVITY MODULES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 157. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTIVITY MODULES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 158. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTIVITY MODULES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 159. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTIVITY MODULES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 160. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTIVITY MODULES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 161. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY BLUETOOTH, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 162. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY BLUETOOTH, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 163. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY BLUETOOTH, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 164. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY BLUETOOTH, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 165. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY BLUETOOTH, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 166. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY BLUETOOTH, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 167. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CELLULAR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 168. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CELLULAR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 169. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CELLULAR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 170. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CELLULAR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 171. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CELLULAR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 172. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CELLULAR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 173. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LPWAN, 2018-2024 (USD MILLION)
  • TABLE 174. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LPWAN, 2025-2032 (USD MILLION)
  • TABLE 175. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LPWAN, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 176. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LPWAN, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 177. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LPWAN, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 178. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LPWAN, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 179. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LPWAN, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 180. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LPWAN, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 181. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LORAWAN, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 182. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LORAWAN, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 183. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LORAWAN, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 184. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LORAWAN, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 185. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LORAWAN, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 186. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LORAWAN, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 187. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY NB-IOT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 188. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY NB-IOT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 189. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY NB-IOT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 190. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY NB-IOT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 191. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY NB-IOT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 192. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY NB-IOT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 193. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SIGFOX, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 194. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SIGFOX, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 195. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SIGFOX, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 196. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SIGFOX, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 197. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SIGFOX, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 198. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SIGFOX, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 199. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SATELLITE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 200. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SATELLITE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 201. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SATELLITE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 202. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SATELLITE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 203. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SATELLITE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 204. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SATELLITE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 205. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY WI-FI, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 206. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY WI-FI, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 207. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY WI-FI, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 208. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY WI-FI, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 209. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY WI-FI, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 210. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY WI-FI, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 211. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY EDGE DEVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 212. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY EDGE DEVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 213. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY EDGE DEVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 214. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY EDGE DEVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 215. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY EDGE DEVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 216. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY EDGE DEVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 217. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PLATFORM, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 218. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PLATFORM, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 219. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PLATFORM, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 220. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PLATFORM, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 221. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PLATFORM, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 222. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PLATFORM, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 223. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SENSORS, 2018-2024 (USD MILLION)
  • TABLE 224. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SENSORS, 2025-2032 (USD MILLION)
  • TABLE 225. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SENSORS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 226. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SENSORS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 227. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SENSORS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 228. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SENSORS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 229. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SENSORS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 230. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SENSORS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 231. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MOTION SENSORS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 232. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MOTION SENSORS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 233. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MOTION SENSORS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 234. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MOTION SENSORS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 235. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MOTION SENSORS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 236. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY MOTION SENSORS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 237. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY OPTICAL SENSORS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 238. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY OPTICAL SENSORS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 239. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY OPTICAL SENSORS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 240. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY OPTICAL SENSORS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 241. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY OPTICAL SENSORS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 242. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY OPTICAL SENSORS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 243. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PRESSURE SENSORS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 244. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PRESSURE SENSORS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 245. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PRESSURE SENSORS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 246. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PRESSURE SENSORS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 247. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PRESSURE SENSORS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 248. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY PRESSURE SENSORS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 249. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TEMPERATURE SENSORS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 250. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TEMPERATURE SENSORS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 251. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TEMPERATURE SENSORS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 252. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TEMPERATURE SENSORS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 253. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TEMPERATURE SENSORS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 254. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY TEMPERATURE SENSORS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 255. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 256. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 257. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 258. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 259. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 260. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 261. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 262. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SOFTWARE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 263. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 264. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SOFTWARE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 265. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 266. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 267. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 268. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CONNECTIVITY TECHNOLOGY, 2025-2032 (USD MILLION)
  • TABLE 269. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY BLUETOOTH, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 270. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY BLUETOOTH, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 271. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY BLUETOOTH, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 272. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY BLUETOOTH, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 273. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY BLUETOOTH, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 274. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY BLUETOOTH, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 275. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CELLULAR, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 276. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CELLULAR, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 277. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CELLULAR, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 278. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CELLULAR, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 279. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CELLULAR, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 280. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY CELLULAR, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 281. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ETHERNET, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 282. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ETHERNET, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 283. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ETHERNET, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 284. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ETHERNET, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 285. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ETHERNET, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 286. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY ETHERNET, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 287. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LPWAN, 2018-2024 (USD MILLION)
  • TABLE 288. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LPWAN, 2025-2032 (USD MILLION)
  • TABLE 289. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LPWAN, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 290. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZE, BY LPWAN, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 291. GLOBAL ARTIFICIAL INTELLIGENCE IN IOT MARKET SIZ