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1837502

物聯網人工智慧市場：按應用、垂直產業、元件類型、連接技術和部署模式分類－2025-2032年全球預測

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個工作天內

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預計到 2032 年，物聯網人工智慧市場規模將成長至 400.1 億美元，複合年成長率為 17.85%。

關鍵市場統計數據
基準年2024年 107.5億美元
預計年份：2025年 126.5億美元
預測年份 2032 400.1億美元
複合年成長率 (%) 17.85%

人工智慧與物聯網的整合被視為一項策略要務，它將重新定義工程實踐、採購選擇和營運價值創造。

物聯網和整合人工智慧正在再形成組織在營運和客戶服務領域感知、決策和行動的方式。本文概述了推動分散式智慧發展的關鍵技術和組織趨勢：分析從集中式雲端遷移到邊緣運算、低功耗廣域連接的成熟以及能夠獲取新型遠端檢測資料的專用感測器的普及。這些技術賦能因素，加上優先考慮模組化、互通性和安全性設計的軟體架構的演進，正在支援產品和服務更快的迭代週期。

同樣重要的是推動科技普及的組織變革。工程團隊正變得日益韌體、資料科學和雲端工程等領域的技能，以提供端到端的價值。採購和監管部門也正在進行調整，以管理更多元化的供應商生態系統，其中包括半導體供應商、連接專家、平台提供者和系統整合商。最終，關於部署模式、組件採購和整合合作夥伴的策略決策將對營運和商業產生直接影響。

最後，引言部分將相關人員置於更廣泛的策略利益框架下進行分析。那些基於明確用例（例如提高資產運作、最佳化能源消耗和創造差異化的互聯體驗）進行技術投資的組織，能夠提高效率並建立可防禦的競爭優勢。因此，接下來的章節將探討變革性轉變、政策影響、細分市場的細微差別、區域差異、競爭動態，以及在人工智慧和物聯網快速發展的交會點上尋求應對策略的建議。

了解推動人工智慧賦能的物聯網部署的深刻架構和商業變革，以及由此帶來的組織營運和客戶價值獲取方式的重塑。

人工智慧賦能的物聯網格局正經歷一場變革性的轉變，而這場轉變不僅體現在效能的逐步提升上，也改變了系統架構和營運經濟模式。其中一個顯著的改變是智慧的去中心化。計算和推理功能向感測器更靠近，從而實現即時決策，並降低延遲和網路依賴性。這一轉變得益於專用晶片和緊湊型機器學習模型的進步，這些模型能夠在邊緣設備上提供可執行的洞察，而無需持續的雲端連接。

另一個重大轉變是將人工智慧融入產品生命週期的各個階段。機器學習不再侷限於分析儀表板，而是應用於設備試運行、異常檢測、預測性維護和自動化修復工作流程。因此，軟體平台的角色也隨之擴展，使其能夠編配模型、管理資料管道，並在分散式環境中執行管治策略。隨著生態系統的碎片化以及企業拼湊最佳解決方案，互通性和標準化介面變得至關重要。

同時，經營模式正從以產品為中心轉變為以結果為中心。企業越來越傾向於訂閱和基於結果的契約，將供應商的獎勵與執行時間、能源效率和吞吐量等績效指標掛鉤。這種商業性模式的演變正在重塑採購、合約簽訂和供應商夥伴關係，鼓勵價值鏈上更深入的協作以及部署後的持續最佳化。總而言之，這些轉變需要新的能力、管治模式和合作夥伴生態系統，才能充分發揮人工智慧在物聯網部署的潛力。

評估2025年關稅變化對物聯網供應鏈、製造在地化方案以及建構彈性部署方案的策略影響

2025年關稅和貿易政策的調整將對物聯網生態系統產生多方面的影響，包括籌資策略、零件供應以及設備製造和組裝地點及方式的計算。關稅調整加劇了對全球供應鏈的審查，促使企業重新評估供應商集中度，探索替代採購途徑，並權衡單位成本優勢和供應彈性之間的利弊。在此背景下，雙源採購策略和策略性庫存緩衝已成為應對成本突然波動的有效手段。

此外，關稅也影響近岸外包和區域製造投資的相對吸引力。面臨繁瑣部署和嚴格監管要求的企業正在加快在地化生產的步伐，從而降低跨境政策波動帶來的風險，並縮短關鍵零件的前置作業時間。這種區域化趨勢也增加了對了解國內法規環境並能快速迭代硬體和軟體配置的本地工程和整合合作夥伴的需求。

在技​​術方面，某些進口零件成本的上漲正在推動設計最佳化和零件整合。工程師優先考慮模組化架構和可互通的技術棧，以便在無需重大重新設計的情況下替換零件。同時，採購團隊正在深化與供應商的合作，共同開發兼顧成本、性能和可製造性的零件。總而言之，這些動態因素提升了供應鏈情報、能夠預見政策變化的合約設計以及跨職能協調的戰略重要性，以確保部署計劃和服務水準承諾的履行。

深入了解將應用、垂直產業、元件、連接技術和配備模式與實際部署決策連結起來的綜合細分框架。

對市場區隔進行細緻入微的分析對於客製化提案和服務以及確定研發工作的優先順序至關重要。按應用領域進行細分涵蓋農業、聯網汽車、醫療保健解決方案、零售體驗、智慧電網專案、智慧家庭產品、智慧製造系統和交通運輸服務等領域，其中智慧製造本身包含資產追蹤、預測性維護、流程最佳化和品管等功能。這種以應用為中心的觀點突顯了用例需求如何影響設備生命週期考量、資料品質需求和延遲容忍度。

按行業垂直領域分類，相關市場包括農業、汽車、能源與公共、醫療保健、製造業、零售、智慧城市以及交通運輸與物流。在製造業領域，汽車製造、離散製造和流程製造等子領域在監管限制、營運節奏和整合複雜性方面存在差異，凸顯了垂直化解決方案和實施團隊專業知識的必要性。這些垂直細分領域不僅影響產品功能集，也影響服務模式和商業條款。

連接模組、邊緣設備、平台、感測器、服務和軟體構成核心類別，其中連接模組可根據藍牙、蜂窩網路、低功率廣域網路、衛星和 Wi-Fi 等選項進行細分。低功耗廣域網路又細分為 LoRaWAN、NB-IoT 和 Sigfox，感測器則依運動、光學、壓力和溫度類型分類。這種分類對於架構師至關重要，他們必須選擇合適的組件組合，以滿足功能需求、功耗特性和生命週期成本。

最後，按連接技術和部署模式進行分類，揭示了連接方面的藍牙、蜂窩網路、乙太網路、低功耗廣域網路 (LPWAN)、衛星和 Wi-Fi 等技術的採用模式，以及部署方面的雲端、混合和本地部署模式。雲端部署模式可以進一步細分為社群雲端、私有雲端和公共雲端，而混合部署方式則包含邊緣混合和多重雲端混合配置。了解這些細微差別有助於產品經理和解決方案架構師根據不同客戶群的採購偏好和營運限制，調整其技術藍圖。

物聯網和人工智慧應用的區域比較分析突顯了基礎設施差異、監管重點和區域市場准入需求。

區域動態對人工智慧賦能的物聯網計劃的策略和執行有顯著影響，因為不同地區的管理體制、基礎設施成熟度和客戶期望差異巨大。在美洲，成熟的創投環境以及完善的雲端和企業生態系統為先進遠端檢測和連接服務的投資需求仍然強勁。該地區通常作為商業模式的試驗場，這些模式隨後會擴展到全球，並優先考慮整合速度和差異化功能。

歐洲、中東和非洲的監管和基礎設施環境複雜。保護條例和政策、能源轉型政策以及區域產業策略影響部署重點，因此該地區的企業通常需要強大的資料管治和在地化能力。此外，智慧城市和公共產業等公共部門措施也是重要的需求促進因素，這需要較長的銷售週期和完善的合規流程。

亞太地區消費和工業領域的快速發展是其顯著特徵，這主要得益於製造業的數位化和對智慧基礎設施的大規模投資。該地區既包括擁有強大半導體和元件能力的已開發市場，也包括以連接性和價格承受能力為主導的新興市場。因此，在該地區取得成功的關鍵在於平衡可擴展的平台架構和經濟高效的硬體，以及能夠適應不同營運商和監管環境的靈活部署模式。

綜合來看，區域策略應充分考慮該區域的合作夥伴生態系統、人才儲備和政策環境。拓展至這些區域的公司可以受益於差異化的市場進入計劃，這些計劃應反映基礎設施的完善程度、監管要求和最終用戶的期望。

探索競爭格局，了解創新者、平台供應商和整合商如何建立生態系統，以加速部署並推動基於結果的差異化。

人工智慧賦能的物聯網領域的競爭格局正由眾多專業組件供應商、平台供應商、系統整合商和服務公司共同塑造，他們攜手打造企業所需的解決方案。晶片組和感測器製造商持續投資於低功耗處理和整合安全功能等細分領域，從而降低整合成本並加快部署速度。連結專家則透過網路品質、全球漫遊協定以及簡化配置和生命週期管理的開發者工具來脫穎而出。

平台和軟體供應商在設備支援範圍、分析深度和模型管理能力方面展開競爭。該領域的佼佼者往往提供可擴展至異質設備群的模組化架構，同時提供強大的資料管治、模型部署和監控功能。系統整合和託管服務供應商透過結合深厚的專業知識和營運服務來創造價值，並負責滿足端到端的效能指標和服務等級協定 (SLA)。

策略夥伴關係與協同創新正成為競爭優勢的核心。能夠促成晶片製造商、連接服務供應商以及雲端或邊緣基礎設施營運商之間建立牢固聯盟的供應商，可以提供更整合、風險更低的服務。同時，擁有專業知識的新參與企業也有機會抓住細分市場機遇，例如專注於製造品質或能源最佳化的分析服務。最終，成功的競爭者將取決於其產品藍圖、合作夥伴生態系統和服務能力是否與客戶預期目標相契合，而非僅僅羅列一系列功能。

產業領導者採取具體策略行動，使架構、供應鏈、管治和商業模式與可衡量的業務成果保持一致。

希望從人工智慧整合物聯網中獲取策略價值的領導者應制定一套切實可行的優先事項，使技術投資與商業性成果保持一致。首先，應根據可衡量的業務影響和清晰的部署路徑來確定用例的優先順序。這種做法可以降低實驗成本，並有助於明確業務合理性。其次，應投資於模組化架構，將硬體、連接和分析層解耦，從而實現組件替換和迭代增強，而無需徹底的重新設計。

其次，增強供應商多樣性和供應鏈透明度可以減少中斷，並維持應對政策變更和零件短缺的敏捷性。這包括與區域製造商和物流合作夥伴建立策略關係，以縮短前置作業時間並提供在地化支援。同時，建構模型管治、資料處理歷程和網路安全能力，確保邊緣和雲端智慧在既定的道德和監管框架內運行，從而降低營運風險並維護客戶信任。

最後，在適當情況下採用基於結果的商業模式，將供應商獎勵與服務績效和營運關鍵績效指標 (KPI) 掛鉤。這不僅能改善供應商協作，還能轉變內部採購和財務實踐，使其優先考慮生命週期價值而非領先成本。透過落實這些優先事項，領導者可以加快部署速度，提高服務可靠性，並從人工智慧和物聯網的整合中獲得差異化價值。

採用穩健的混合方法研究途徑，結合從業人員參與、技術文件審查和交叉檢驗的比較分析，以確保獲得可操作的洞見。

這些調查方法結合了定性和定量方法，以確保研究的嚴謹性、有效性和可重複性。主要研究包括與設備工程、資料科學、營運和採購等領域的從業人員進行結構化訪談和研討會，以了解實際應用中的限制因素、推動產品普及的因素以及實施經驗。這些研究旨在挖掘成功上市案例，揭示營運痛點、整合挑戰和實際權衡取捨。

我們的二手研究整合了公開的技術文獻、監管文件、專利申請和供應商技術文檔，以檢驗發展趨勢和技術軌跡。我們也進行了跨產業和跨地區的比較分析，以識別通用模式和差異化行為，並運用情境映射來探討政策變化、供應鏈中斷和技術創新如何影響策略選擇。在整個研究過程中，我們始終關注部署模式和方法的異質性，以確保能夠捕捉到先導計畫和生產規模部署之間的差異。

最後，為了減少偏差並提高結論的可靠性，我們採用了交叉檢驗技術，將訪談結果與已記錄的案例研究和供應商能力進行比較。這種混合方法為尋求設計、採購和營運人工智慧物聯網解決方案的實用指南的決策者提供了堅實的基礎。

透過建構彈性供應鏈、模組化架構和以結果為導向的夥伴關係關係，組織擴展人工智慧賦能的物聯網的策略要務概述

總之，人工智慧與物聯網的融合正從孤立的試點計畫走向成熟的生產級系統，帶來可衡量的營運和商業性效益。邊緣智慧、模組化架構和以結果為導向的商業模式正在重新定義產品的設計、採購和營運方式。那些能夠嚴格選擇用例、投資供應鏈韌性並加強資料和模型管治的組織，將更有利於獲取持續價值。

區域和政策動態變化既帶來了複雜性，也為透過在地化製造、垂直專業化和客製化合規框架實現策略差異化提供了機會。能夠建立靈活整合能力、培育合作夥伴生態系統並將獎勵與結果而非領先績效掛鉤的公司，將獲得競爭優勢。隨著技術和商業環境的不斷演變，持續學習、快速迭代和深思熟慮的夥伴關係對於成功擴展人工智慧驅動的物聯網舉措仍然至關重要。

這些結論應該指導高階主管和技術領導者在確定投資優先順序、重組團隊以及選擇能夠提供彈性、可擴展和安全解決方案的合作夥伴時，滿足短期營運目標和長期策略指南。

目錄

第1章：序言

第2章調查方法

第3章執行摘要

第4章 市場概覽

第5章 市場洞察

  • 推出一種面向分散式物聯網醫療感測器的隱私保護型人工智慧分析的聯邦學習框架
  • 整合節能型邊緣人工智慧加速器，以支援電池供電的智慧城市感測器進行即時分析。
  • 將人工智慧驅動的數位雙胞胎平台整合到工業IoT系統中，用於預測性維護和流程最佳化。
  • 在物聯網安全閘道中使用可解釋的人工智慧框架，以增強關鍵基礎設施網路中透明的威脅偵測。
  • 在邊緣物聯網節點中採用神經型態模組，以降低機器人控制中的延遲和能耗。
  • 人工智慧與 5G 連線結合的觸覺網路生態系統的出現，將實現自主設備的超可靠、低延遲遠端操作。
  • 擴展雲端原生 AI編配服務，以整合跨域物聯網資料流，進行全面分析與決策。

第6章：美國關稅的累積影響，2025年

第7章：人工智慧的累積影響，2025年

第8章 物聯網人工智慧市場（按應用分類）

  • 農業
  • 聯網汽車
  • 衛生保健
  • 零售
  • 智慧電網
  • 智慧家庭
  • 智慧製造
    • 資產追蹤
    • 預測性維護
    • 流程最佳化
    • 品管
  • 運輸

第9章 物聯網人工智慧市場（按產業垂直領域分類）

  • 農業
  • 車
  • 能源與公共產業
  • 衛生保健
  • 製造業
    • 汽車製造
    • 離散製造
    • 流程製造
  • 零售
  • 智慧城市
  • 運輸/物流

第10章 物聯網市場中的人工智慧（按組件類型分類）

  • 連接模組
    • Bluetooth
    • 細胞
    • LPWAN
      • LoRaWAN
      • NB-IoT
      • Sigfox
    • 衛星
    • Wi-Fi
  • 邊緣設備
  • 平台
  • 感應器
    • 動作感測器
    • 光學感測器
    • 壓力感測器
    • 溫度感測器
  • 服務
  • 軟體

第11章 物聯網市場中的人工智慧—連結技術

  • Bluetooth
  • 細胞
  • 乙太網路
  • LPWAN
    • LoRaWAN
    • NB-IoT
    • Sigfox
  • 衛星
  • Wi-Fi

第12章 物聯網人工智慧市場：依部署模式分類

  • 雲
    • 社群雲端
    • 私有雲端
    • 公共雲端
  • 混合
    • 邊緣混合型
    • 多重雲端混合
  • 本地部署

第13章 物聯網市場中的人工智慧（按地區分類）

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第14章 物聯網人工智慧市場（按群體分類）

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

第15章 各國物聯網市場中的人工智慧

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第16章 競爭格局

  • 2024年市佔率分析
  • FPNV定位矩陣，2024
  • 競爭分析
    • 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