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物聯網人工智慧：市場佔有率分析、產業趨勢與統計、成長預測（2024-2029）

AI In IoT - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 150 Pages | 商品交期: 2-3個工作天內

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簡介目錄

物聯網人工智慧市場規模預計到 2024 年為 789.9 億美元，預計到 2029 年將達到 1,153.1 億美元，預測期內（2024-2029 年）年複合成長率為 7.86%。

高效處理物聯網設備產生的大量即時資料的需求、對性能管理設備不斷成長的需求以及減少停機時間和維護成本的需求是推動市場成長的關鍵因素。

主要亮點

  • 物聯網技術對於各種組織進行數位轉型至關重要，使他們能夠創建和追蹤新的經營模式並升級現有流程。隨著越來越多的公司認為物聯網是業務成功的關鍵因素，物聯網的採用也不斷增加。人工智慧和物聯網技術的結合創造了智慧機器，可以模擬理性行為並支援決策，而無需或很少人為干涉。對物聯網設備產生的資料進行有效管理以獲得有價值的見解和即時監控以增強客戶體驗越來越受到重視，並且是市場的關鍵驅動力。
  • 零售業正在利用雲端人工智慧和基於物聯網的服務來增強客戶經驗計劃並創造更多以客戶為中心的產品。例如，在智慧零售環境中，具有電腦視覺功能的攝影機系統可以使用臉部辨識來識別顧客進門時的情況。假設您的系統偵測到進入您商店的大多數顧客都是千禧世代。在這種情況下，您可以擠壓成型吸引該族群的產品廣告和店內特賣來增加銷售額。
  • 此外，由於低延遲和即時追蹤帶來的更快的交付時間，大多數公司正在從本地人工智慧遷移到雲，這可能會推動預測期內所研究市場的成長。例如，Amazon Echo 亞馬遜推出了 Web Services IoT，這是一個託管雲端平台，可讓裝置安全地連接到雲端應用程式和其他裝置。 2021 年 2 月，IBM 和紅帽宣布了混合雲端，旨在為製造商和工廠營運商提供開放、靈活且更安全的解決方案，以從工業物聯網的營運資料中獲取即時價值。宣佈建立新的合作夥伴關係。
  • 然而，熟練勞動力的短缺和對資料安全的日益擔憂是限制所研究市場成長的一些主要因素。人工智慧和物聯網從使用者和客戶收集敏感且重要的資料，因此確保資料的安全儲存非常重要。然而，在資料，這限制了市場的成長。
  • 無論是關鍵的醫療保健業務、幫助學生繼續學習，還是在冠狀病毒爆發期間讓數量空前的員工線上和在家保持高效工作，組織需要可擴展且可靠的訪問高安全計算能力的能力，這是關鍵挑戰的一部分。造成這種情況的關鍵因素是市場成長。醫院網路、製藥公司和研究機構正在使用支援 AI 的 IoT 設備來照顧患者、尋找治療方法並以許多其他方式減少 COVID-19 的影響。所有上述因素預計將在短期內加快市場成長速度，並在長期內進一步成長。

物聯網人工智慧市場趨勢

醫療保健領域市場預計穩定成長

  • 醫療保健組織正在收集和分析高頻物聯網 (IoT) 感測器資料和電腦視覺 (AI)，以提高人類在診斷、治療決策和支援臨床醫生治療疾病等任務中的表現。對活動性和平衡性的常規身體評估是常規醫療保健活動，透過結合物聯網和人工智慧技術 (IoT)，這些活動具有巨大的變革潛力。物聯網使醫療保健提供者能夠以更少的步驟簡化評估，同時使測試定量、一致且可重複。
  • 測試和儲存 COVID-19 疫苗和其他疫苗的醫院、診所、製藥公司和學術機構無法了解其冰箱的即時狀態和性能。因此，對基於物聯網的預測性維護的需求日益成長，以確保疫苗的物流和安全。物聯網還可以提高診斷準確性和遠端患者監護、減少重複就診的需要、縮短等待時間、識別嚴重患者並追蹤醫療設備。
  • 此外，人工智慧和物聯網的創新將使醫院能夠充分利用電腦斷層掃描和患者重要記錄等資料。這些系統使醫生即使不在大樓內也可以遠端監控患者健康狀況，並識別需要緊急關注的患者。物聯網還可以提高診斷乳癌和肺癌等某些疾病的準確性。
  • 智慧醫院正在利用物聯網連接技術和機器人技術來提供新時代的健康支援和治療。專為醫療保健產業設計的各種物聯網設備和應用程式不斷湧現，包括用於遠距醫療和遠距醫療保健監控的感測器和應用程式。在這方面，物聯網正在透過即時病患監測（健身追蹤器、智慧型穿戴裝置、緊急按鈕等）、透過智慧影像分析進行進階診斷以及機器人手術，為改善醫療保健做出貢獻。這些應用程式有助於收集個人預防措施、早期檢測和藥物管理的資料。
  • 由於物聯網技術的日益普及，智慧醫療保健趨勢預計將顯著成長。例如，2022年12月，電腦硬體製造商華碩在台灣醫療+博覽會上推出了智慧醫療解決方案。華碩智慧醫療主題以華碩展會上展出的多款產品推動數位轉型。我們涵蓋了區域醫療管理、精準醫療和遠端醫療領域的趨勢，這些趨勢正在推動台灣醫療機構的數位化。此外，人工智慧演算法和物聯網設備還幫助醫院管理社區醫療，透過數位轉型實現從社區醫院轉向現代化醫院的轉變。

預計北美將佔據主要市場佔有率

  • 北美是市場佔有率較大的主要地區之一，人工智慧和物聯網技術廣泛應用於汽車、交通、製造、零售和醫療保健等許多行業，這也是市場成長的原因之一。 。我研究過這個領域。北美是新興終端用戶產業人工智慧和物聯網應用開發研究的熱點之一。據思科稱，到 2022 年，美國和加拿大將擁有最高的人均設備和連接數量。
  • 北美公司的製造平台正在經歷數位轉型，為該國物聯網製造中的AI解決方案供應商創造了機會，使這些公司能夠控制其製造設施中的能源和水的使用情況，並改善設備以提高彈性。在生產線上即時檢查產品質量，同時減少浪費。提供可擴展的預測品質、預測性維護、控制釋放和非接觸式操作將有助於提高該地區工廠生產的永續性。
  • 許多全球公司正在與市場供應商合作，將基於人工智慧的工業物聯網整合到他們的生產線中，以加速市場成長。例如，2022 年 9 月，寶潔和微軟簽訂了一項多年合作協議，以實現寶潔數位製造基礎設施的現代化。根據合作夥伴關係，工業物聯網（IIoT）、數位雙胞胎、資料和人工智慧將加速向客戶交付產品並提高客戶滿意度，同時提高生產力並降低成本。
  • 該地區是全球許多物聯網和人工智慧供應商的所在地，尤其是在美國。此外，該國擁有高科技生態系統，該地區的汽車正變得越來越以軟體為導向。當人工智慧與物聯網結合時，設備可以分析資料、做出決策並根據資料採取行動，而無需人工干涉。特斯拉的自動駕駛汽車是人工智慧和物聯網協同工作的一個例子。透過結合人工智慧，自動駕駛汽車可以預測汽車和行人在各種情況下的行為。例如，它可以確定路況、天氣和最佳速度，讓您每次移動都變得更聰明。
  • 該行業在北美的成長潛力體現在許多美國人工智慧平台和軟體製造商正在與物聯網解決方案供應商合作以增加市場佔有率。

物聯網AI產業概述

由於國內和國際市場上有許多參與者，物聯網人工智慧市場競爭非常激烈。該市場由微軟、Salesforce、AWS、SAP SE、甲骨文和 IBM 公司等多家參與者組成。與公司相關的品牌形象對市場有重大影響。強大的品牌意味著更好的性能，因此長期參與者預計會擁有優勢。提供先進人工智慧解決方案和持續升級的供應商可能會成為買家的熱門選擇。

2023 年 6 月，Amazon Web Services, Inc. 宣布推出 AWS Generative AI Innovation Center，這是一項旨在幫助客戶成功開發和部署智慧人工智慧解決方案的新計畫。在該計畫中，AWS將投資1億美元，將AI和MLAWS專家與世界各地的客戶聯繫起來，使客戶能夠想像、設計或推出新的生成式人工智慧產品、服務和流程。

2023 年 5 月，SAP 和 Google Cloud 宣布開放資料的廣泛可用性，旨在簡化和釋放業務資料形勢的力量。該服務使客戶能夠創建端到端資料雲，使用 SAP Datasphere 解決方案和 Google 數據雲從整個形勢中獲取資料，為企業提供整個資料資產的即時視圖並最大化其價值。轉換成投資 SAP 雲端。

其他福利

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章簡介

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章市場洞察

  • 市場概況
  • 產業價值鏈分析
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 買方議價能力
    • 新進入者的威脅
    • 替代產品的威脅
    • 競爭公司之間的敵意強度
  • 評估 COVID-19 對產業的影響

第5章市場動態

  • 市場促進因素
    • 巨量資料量的增加
    • 有效管理物聯網設備產生的資料以獲得有價值的見解
  • 市場限制因素
    • 資料安全和隱私問題

第6章市場區隔

  • 按成分
    • 平台
      • 應用程式管理
      • 連線管理
      • 設備管理
    • 服務
      • 管理服務
      • 專業服務
    • 軟體
      • 資料管理
      • 網路頻寬管理
      • 即時串流分析
      • 遠端監控
      • 安全
      • 邊緣解決方案
  • 最終用戶產業
    • 銀行、金融服務和保險 (BFSI)
    • 資訊科技/通訊
    • 能源/公共事業
    • 衛生保健
    • 製造業
    • 其他（交通/旅行、政府、零售）
  • 按地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲

第7章 競爭形勢

  • 公司簡介
    • Amazon Web Services Inc.（Amazon Inc.）
    • IBM Corporation
    • Autoplant Systems India Pvt. Ltd
    • SAP SE
    • Google LLC（Alphabet Inc.）
    • Microsoft Corporation
    • Oracle Corporation
    • Salesforce.com Inc.
    • PTC Inc.
    • SAS Institute Inc.
    • General Electric Company
    • Hitachi Ltd

第8章投資分析

第9章市場的未來

簡介目錄
Product Code: 70756

The AI In IoT Market size is estimated at USD 78.99 billion in 2024, and is expected to reach USD 115.31 billion by 2029, growing at a CAGR of 7.86% during the forecast period (2024-2029).

AI In IoT - Market

The need to efficiently process vast volumes of real-time data generated from IoT devices, the growing demand for performance management appliances, and the need to reduce downtime and maintenance costs are the primary factors driving the market's growth.

Key Highlights

  • IoT technology is essential for various organizations to digitally transform, thus, empowering them to upgrade the existing processes by creating and tracking new business models. More and more companies view IoT as an important element for business success, thus increasing its adoption. AI and IoT, both technologies, when combined, are creating intelligent machines that simulate rational behavior and support decision-making with little or no human interference. The growing emphasis on effective management of data generated from IoT devices to gain valuable insights and real-time monitoring to curate an enhanced customer experience are the key growth drivers for the market.
  • The retail industry is leveraging cloud AI in IoT-based services to augment customer experience programs and generate more customer-oriented products. For instance, in a smart retail environment, a camera system outfitted with computer vision capabilities can use facial recognition to recognize customers when they walk through the door. Suppose the system detects most customers walking into the store are Millennials. In that case, it can push out product advertisements or in-store specials that appeal to that demographic, therefore driving sales.
  • Furthermore, most companies are shifting to the cloud from on-premise AI, owing to faster delivery time with low latency and real-time tracking, likely to foster the studied market growth during the forecast period. For instance, Amazon Echo Amazon has introduced Web Services IoT, a managed cloud platform and lets devices connect securely to cloud applications and other devices. In February 2021, IBM and Red Hat announced a new collaboration to use a hybrid cloud designed to deliver an open, flexible, and more secure solution for manufacturers and plant operators that will drive real-time value from operations data from industrial IoT.
  • However, the lack of a skilled workforce and growing concerns regarding data security are some major factors restraining the studied market growth. It is crucial to ensure that the data is secure and in safe hands because AI and IOT collect sensitive and essential data from their users or clients. But since users have no idea when someone would attempt to access our private and sensitive data, security is always a concern with technology and restricting the market growth.
  • During the spread of Coronavirus, the ability for organizations to access scalable, dependable, and highly secure computing power, whether for vital healthcare work, to help students continue learning, or to keep unprecedented numbers of employees online and productive from home are some of the critical factors owing to the growth of the market in this situation. Hospital networks, pharmaceutical companies, and research labs are using AI-enabled IoT devices to care for patients, explore treatments, and mitigate the impacts of COVID-19 in many other ways. All of the above factors have accelerated the market's growth rate in the short run and are expected to augment it further in the long term.

AI In IoT Market Trends

Healthcare Sector Expected to Witness Robust Market Growth

  • Healthcare organizations can improve human performance on tasks such as diagnostic or therapeutic decisions, supporting clinicians in treating diseases, etc., by collecting and analyzing high-frequency Internet of Things (IoT) sensor data and computer vision (AI). Routine physical assessments of mobility and balance are usual healthcare activities with significant potential to be transformed by combining IoT and AI technologies (IoT). With IoT, care providers can simplify assessment using fewer steps while making the test quantitative, consistent, and reproducible.
  • Hospitals, clinics, pharmaceuticals, and academic institutes testing and storing vaccines, such as COVID-19 vaccines, still lack visibility on their refrigerators' real-time state and performance. Due to this, there is an increasing need for IoT-based predictive maintenance for vaccine logistics and safety. IoT can also improve diagnostic accuracy and remote patient monitoring, reduce the need for follow-up visits, reduce wait times, identify critical patients, and track medical equipment.
  • Furthermore, innovations in AI and IoT allow hospitals to take full advantage of data, like CT scans and records of patient vitals. These systems enable doctors to monitor patient health remotely, even when not in the building, and identify which patients need immediate attention. IoT can also boost the accuracy of diagnoses for certain diseases like breast and lung cancer.
  • Smart hospitals are utilizing IoT-connected technologies and robotics to deliver a new age of health support and treatment. There is an emergence of various IoT devices and applications designed for the healthcare sector, including sensors and apps for telemedicine consultations and remote healthcare monitoring. In this regard, IoT is helping to improve healthcare via real-time patient monitoring (fitness trackers, smart wearables, panic buttons, etc.), advanced diagnostics through smart image analysis, and robotic surgery. These applications help collect data to provide preventive measures for a person, early detection, and drug administration.
  • Smart healthcare trends are expected to grow significantly as a result of the rising adoption of IoT technologies. For instance, in December 2022, ASUS, a computer hardware manufacturer, unveiled smart healthcare solutions at the Taiwan Healthcare+ Expo. The ASUS Smart Healthcare theme encouraged digital change as various products were displayed at the ASUS exhibit. The community health management, precision health, and telemedicine trends which are driving the digitization of Taiwan's medical institutions were addressed. Moreover, AI algorithms and IoT devices also helped hospitals manage community health, allowing them to transition from community hospitals to modern hospitals through digital transformation.

North America Is Anticipated To Hold Major Market Share

  • North America is one of the major regions with significant market share because of the wide-scale adoption of AI and IoT technologies in many industries, like automotive and transportation, manufacturing, retail, and healthcare, which is one reason for the growth of the market studied in this region. North America is one of the leading regions with research into developing AI and IoT applications in new end-user industries. According to Cisco, the United States and Canada have the highest average per capita devices and connections as of 2022.
  • The manufacturing platform of North American companies has undergone a digital transformation which is creating an opportunity for the AI solution providers in the manufacturing of IoTs in the country, which has been enabling these companies to control energy and water usage in manufacturing facilities, boost equipment resilience while reducing waste, and check product quality in real-time on the production line. Providing scalable predictive quality, predictive maintenance, controlled release, and touchless operations would be helpful in increasing the sustainability of production in the region's plants.
  • Many global companies are partnering with market vendors to integrate AI-based IIoT into their production lines, fueling the market's growth. For instance, in September 2022, P&G and Microsoft signed a multiyear partnership agreement to revamp P&G's digital manufacturing infrastructure. According to the partnerships, the industrial internet of things (IIoT), digital twin, data, and AI would accelerate product delivery to customers and boost customer satisfaction while increasing productivity and lowering costs.
  • The region has many global IoT and AI-based vendor providers, especially in the United States. In addition, the country has a high-tech ecosystem, and the region's automobiles have become increasingly software-oriented. When AI is coupled with the IoT, the devices can analyze data, make decisions, and act on that data without human interference. Tesla's self-driving cars are examples of AI and IoT working in tandem. With the incorporation of AI, self-driving cars predict the behavior of cars and pedestrians in various circumstances. For instance, they can determine road conditions, weather, and optimal speed and get smarter with each trip.
  • The industry's potential for growth in North America is reflected in the fact that many American AI platforms and software manufacturers collaborate with IoT solution providers to improve their market share in the area.

AI In IoT Industry Overview

The AI in IoT market is highly competitive owing to the presence of a large number of players in the market operating in domestic and international markets. The market comprises several players, such as Microsoft, Salesforce, AWS, SAP SE, Oracle, and IBM Corporation. The brand identity associated with the companies has a major influence on the market. As strong brands are synonymous with good performance, long-standing players are expected to have the upper hand. The vendors offering advanced AI solutions and continuous upgrades in their offerings may be the popular choice for buyers.

In June 2023, Amazon Web Services, Inc. announced the AWS Generative AI Innovation Centre, a new program designed to assist customers with their successful development and deployment of intelligent artificial intelligence solutions, has been announced. In the program, AWS will invest USD 100 million to connect AI and MLAWS experts with customers around the world so that they can imagine, design, or launch new generative artificial intelligence products, services, and processes.

In May 2023, SAP and Google Cloud announced an extensive offering of open data, intending to simplify the business data landscape and release its power. This offering enables customers to create an end-to-end data cloud that brings data from across the enterprise landscape using the SAP Datasphere solution and Google's Data Cloud so that businesses can view their entire data estate in real-time and maximize the value of their SAP Cloud investments.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHT

  • 4.1 Market Overview
  • 4.2 Industry Value Chain Analysis
  • 4.3 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.3.1 Bargaining Power of Suppliers
    • 4.3.2 Bargaining Power of Buyers
    • 4.3.3 Threat of New Entrants
    • 4.3.4 Threat of Substitute Products
    • 4.3.5 Intensity of Competitive Rivalry
  • 4.4 Assessment of the Impact of COVID-19 on the Industry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Rising Big Data Volume
    • 5.1.2 Effective Management of Data Generated From IoT Devices to Gain Valuable Insights
  • 5.2 Market Restraints
    • 5.2.1 Data Security and Privacy Issues

6 MARKET SEGMENTATION

  • 6.1 By Component
    • 6.1.1 Platform
      • 6.1.1.1 Application Management
      • 6.1.1.2 Connectivity Management
      • 6.1.1.3 Device Management
    • 6.1.2 Services
      • 6.1.2.1 Managed Services
      • 6.1.2.2 Professional Services
    • 6.1.3 Software
      • 6.1.3.1 Data Management
      • 6.1.3.2 Network Bandwidth Management
      • 6.1.3.3 Real-time Streaming Analytics
      • 6.1.3.4 Remote Monitoring
      • 6.1.3.5 Security
      • 6.1.3.6 Edge Solution
  • 6.2 By End-user Vertical
    • 6.2.1 Banking, Financial Services, and Insurance (BFSI)
    • 6.2.2 IT and Telecom
    • 6.2.3 Energy and Utilities
    • 6.2.4 Healthcare
    • 6.2.5 Manufacturing
    • 6.2.6 Other End-user Verticals (Transport and Mobility, Government, and Retail)
  • 6.3 By Geography
    • 6.3.1 North America
    • 6.3.2 Europe
    • 6.3.3 Asia-Pacific
    • 6.3.4 Latin America
    • 6.3.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Amazon Web Services Inc. (Amazon Inc.)
    • 7.1.2 IBM Corporation
    • 7.1.3 Autoplant Systems India Pvt. Ltd
    • 7.1.4 SAP SE
    • 7.1.5 Google LLC (Alphabet Inc.)
    • 7.1.6 Microsoft Corporation
    • 7.1.7 Oracle Corporation
    • 7.1.8 Salesforce.com Inc.
    • 7.1.9 PTC Inc.
    • 7.1.10 SAS Institute Inc.
    • 7.1.11 General Electric Company
    • 7.1.12 Hitachi Ltd

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET