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市场调查报告书
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物联网人工智慧：市场占有率分析、产业趋势与统计、成长预测（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个工作天内

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简介目录

物联网人工智慧市场规模预计到 2024 年为 789.9 亿美元，预计到 2029 年将达到 1,153.1 亿美元，预测期内（2024-2029 年）复合年增长率为 7.86%。

高效处理物联网设备产生的大量即时资料的需求、对性能管理设备不断增长的需求以及减少停机时间和维护成本的需求是推动市场成长的关键因素。

主要亮点

  • 物联网技术对于各种组织进行数位转型至关重要，使他们能够创建和追踪新的经营模式并升级现有流程。随着越来越多的公司认为物联网是业务成功的关键因素，物联网的采用也不断增加。人工智慧和物联网技术的结合创造了智慧机器，可以模拟理性行为并支援决策，而无需或很少人为干预。对物联网设备产生的资料进行有效管理以获得有价值的见解和即时监控以增强客户体验越来越受到重视，并且是市场的关键驱动力。我是。
  • 零售业正在利用云端人工智慧和基于物联网的服务来增强客户经验计划并创造更多以客户为中心的产品。例如，在智慧零售环境中，具有电脑视觉功能的摄影机系统可以使用脸部辨识来识别顾客进门时的情况。假设您的系统侦测到进入您商店的大多数顾客都是千禧世代。在这种情况下，您可以挤压成型吸引该族群的产品广告和店内特卖来增加销售额。
  • 此外，由于低延迟和即时追踪带来的更快的交付时间，大多数公司正在从本地人工智慧迁移到云，这可能会推动预测期内所研究市场的成长。例如，Amazon Echo 亚马逊推出了 Web Services IoT，这是一个託管云端平台，可让装置安全地连接到云端应用程式和其他装置。 2021 年 2 月，IBM 和红帽宣布了混合云端，旨在为製造商和工厂营运商提供开放、灵活且更安全的解决方案，以从工业物联网的营运资料中获取即时价值。宣布建立新的合作伙伴关係。
  • 然而，熟练劳动力的短缺和对资料安全的日益担忧是限制所研究市场成长的一些主要因素。人工智慧和物联网从使用者和客户收集敏感且重要的资料，因此确保资料的安全储存非常重要。然而，在资料，这限制了市场的成长。
  • 无论是关键的医疗保健业务、帮助学生继续学习，还是在冠状病毒爆发期间让数量空前的员工在线和在家保持高效工作，组织需要可扩展且可靠的访问高安全计算能力的能力，这是关键挑战的一部分。造成这种情况的关键因素是市场成长。医院网路、製药公司和研究机构正在使用支援 AI 的 IoT 设备来照顾患者、寻找治疗方法并以许多其他方式减少 COVID-19 的影响。所有上述因素预计将在短期内加快市场成长速度，并在长期内进一步成长。

物联网人工智慧市场趋势

医疗保健领域市场预计稳定成长

  • 医疗保健组织正在收集和分析高频物联网 (IoT) 感测器资料和电脑视觉 (AI)，以提高人类在诊断、治疗决策和支援临床医生治疗疾病等任务中的表现。对活动性和平衡性的常规身体评估是常规医疗保健活动，透过结合物联网和人工智慧技术 (IoT)，这些活动具有巨大的变革潜力。物联网使医疗保健提供者能够以更少的步骤简化评估，同时使测试定量、一致且可重复。
  • 测试和储存 COVID-19 疫苗和其他疫苗的医院、诊所、製药公司和学术机构无法了解其冰箱的即时状态和性能。因此，对基于物联网的预测性维护的需求日益增长，以确保疫苗的物流和安全。物联网还可以提高诊断准确性和远端患者监护、减少重复就诊的需要、缩短等待时间、识别严重患者并追踪医疗设备。
  • 此外，人工智慧和物联网的创新将使医院能够充分利用电脑断层扫描和患者重要记录等资料。这些系统使医生即使不在大楼内也可以远端监控患者健康状况，并识别需要紧急关注的患者。物联网还可以提高诊断乳癌和肺癌等某些疾病的准确性。
  • 智慧医院正在利用物联网连接技术和机器人技术来提供新时代的健康支援和治疗。专为医疗保健产业设计的各种物联网设备和应用程式不断涌现，包括用于远距医疗和远距医疗保健监控的感测器和应用程式。在这方面，物联网正在透过即时病患监测（健身追踪器、智慧型穿戴装置、紧急按钮等）、透过智慧影像分析进行进阶诊断以及机器人手术，为改善医疗保健做出贡献。这些应用程式有助于收集个人预防措施、早期检测和药物管理的资料。
  • 由于物联网技术的日益普及，智慧医疗保健趋势预计将显着成长。例如，2022年12月，电脑硬体製造商华硕在台湾医疗+博览会上推出了智慧医疗解决方案。华硕智慧医疗主题以华硕展会上展出的多款产品推动数位转型。我们涵盖了区域医疗管理、精准医疗和远端医疗领域的趋势，这些趋势正在推动台湾医疗机构的数位化。此外，人工智慧演算法和物联网设备还帮助医院管理社区医疗，透过数位转型实现从社区医院转向现代化医院的转变。

预计北美将占据主要市场占有率

  • 北美是市场占有率较大的主要地区之一，人工智慧和物联网技术广泛应用于汽车、交通、製造、零售和医疗保健等许多行业，这也是市场增长的原因之一。 。我研究过这个领域。北美是新兴终端用户产业人工智慧和物联网应用开发研究的热点之一。据思科称，到 2022 年，美国和加拿大将拥有最高的人均设备和连接数量。
  • 北美公司的製造平台正在经历数位转型，为该国物联网製造中的AI解决方案供应商创造了机会，使这些公司能够控制其製造设施中的能源和水的使用情况，并改善设备以提高弹性。在生产线上即时检查产品质量，同时减少浪费。提供可扩展的预测品质、预测性维护、控制释放和非接触式操作将有助于提高该地区工厂生产的永续性。
  • 许多全球公司正在与市场供应商合作，将基于人工智慧的工业物联网整合到他们的生产线中，以加速市场成长。例如，2022 年 9 月，宝洁和微软签订了一项多年合作协议，以实现宝洁数位製造基础设施的现代化。根据合作伙伴关係，工业物联网（IIoT）、数位双胞胎、资料和人工智慧将加速向客户交付产品并提高客户满意度，同时提高生产力并降低成本。
  • 该地区是全球许多物联网和人工智慧供应商的所在地，尤其是在美国。此外，该国拥有高科技生态系统，该地区的汽车正变得越来越以软体为导向。当人工智慧与物联网结合时，设备可以分析资料、做出决策并根据资料采取行动，而无需人工干预。特斯拉的自动驾驶汽车是人工智慧和物联网协同工作的一个例子。透过结合人工智慧，自动驾驶汽车可以预测汽车和行人在各种情况下的行为。例如，它可以确定路况、天气和最佳速度，让您每次移动都变得更聪明。
  • 该行业在北美的成长潜力体现在许多美国人工智慧平台和软体製造商正在与物联网解决方案供应商合作以增加市场占有率。

物联网AI产业概述

由于国内和国际市场上有许多参与者，物联网人工智慧市场竞争非常激烈。该市场由微软、Salesforce、AWS、SAP SE、甲骨文和 IBM 公司等多家参与者组成。与公司相关的品牌形象对市场有重大影响。强大的品牌意味着更好的性能，因此长期参与者预计会拥有优势。提供先进人工智慧解决方案和持续升级的供应商可能会成为买家的热门选择。

2023 年 6 月，Amazon Web Services, Inc. 宣布推出 AWS Generative AI Innovation Center，这是一项旨在帮助客户成功开发和部署智慧人工智慧解决方案的新计画。在该计画中，AWS将投资1亿美元，将AI和MLAWS专家与世界各地的客户联繫起来，使客户能够想像、设计或推出新的生成式人工智慧产品、服务和流程。

2023 年 5 月，SAP 和 Google Cloud 宣布开放资料的广泛可用性，旨在简化和释放业务资料形势的力量。该服务使客户能够创建端到端资料云，使用 SAP Datasphere 解决方案和 Google 数据云从整个形势中获取资料，为企业提供整个资料资产的即时视图并最大化其价值。转换成投资 SAP 云端。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 产业价值链分析
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 买方议价能力
    • 新进入者的威胁
    • 替代产品的威胁
    • 竞争公司之间的敌意强度
  • 评估 COVID-19 对产业的影响

第五章市场动态

  • 市场驱动因素
    • 巨量资料量的增加
    • 有效管理物联网设备产生的资料以获得有价值的见解
  • 市场限制因素
    • 资料安全和隐私问题

第六章市场区隔

  • 按成分
    • 平台
      • 应用程式管理
      • 连线管理
      • 设备管理
    • 服务
      • 管理服务
      • 专业服务
    • 软体
      • 资料管理
      • 网路频宽管理
      • 即时串流分析
      • 远端监控
      • 安全
      • 边缘解决方案
  • 最终用户产业
    • 银行、金融服务和保险 (BFSI)
    • 资讯科技/通讯
    • 能源/公共事业
    • 卫生保健
    • 製造业
    • 其他（交通/旅行、政府、零售）
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲

第七章 竞争形势

  • 公司简介
    • 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

第八章投资分析

第9章市场的未来

简介目录
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