物联网分析市场－全球产业规模、份额、趋势、机会和预测，按分析类型、服务类型、最终用户、地区和竞争细分，2020-2030 年预测

2024 年全球物联网分析市场价值为 272.8 亿美元，预计到 2030 年将达到 1,018.2 亿美元，预测期内复合年增长率为 24.36%。

物联网分析市场，通常称为IoT分析市场，涵盖了跨产业的互联设备、感测器和物联网系统产生的大量资料的收集、处理和分析。物联网分析使企业能够将智慧型装置的原始资料转化为可操作的洞察，从而支援改善决策、提高营运效率、进行预测性维护并提升客户体验。该市场涵盖广泛的解决方案，包括资料管理平台、分析软体和专用应用程序，以及託管分析、咨询和系统整合等服务。

物联网分析的部署模式涵盖本地部署、云端和混合式基础设施，可为多样化的企业需求提供灵活性。受多种因素推动，物联网市场正加速成长。工业 4.0 实践、智慧製造和互联工业运营的日益普及正在产生大量资料，这些数据需要复杂的分析来优化生产、减少停机时间并改善品质控制。同样，医疗保健等行业正在利用物联网分析进行患者监测、预测性诊断和营运管理，而能源和公用事业则利用分析来增强电网管理和能源效率。人工智慧和机器学习与物联网分析平台的整合进一步增强了预测和规范能力，使企业能够预测故障、优化资源配置并实施自动化决策。

关键市场驱动因素

连网设备的激增推动物联网分析市场的发展

主要市场挑战

资料安全和隐私问题

主要市场趋势

人工智慧和机器学习的采用率不断提高

目录

第 1 章：产品概述

第二章：研究方法

第三章：执行摘要

第四章：顾客之声

第五章：全球物联网分析市场展望

• 市场规模和预测
  • 按价值
• 市场占有率和预测
  • 依分析类型（描述性分析、诊断性分析、预测性分析、规范分析）
  • 依服务类型（託管服务、专业服务）
  • 按最终用户（製造业、医疗保健、能源和公用事业、运输和物流、零售、资讯科技和电信、其他）
  • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
• 按公司分类（2024 年）
• 市场地图

第六章：北美物联网分析市场展望

• 市场规模和预测
• 市场占有率和预测
• 北美：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲物联网分析市场展望

• 市场规模和预测
• 市场占有率和预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区物联网分析市场展望

• 市场规模和预测
• 市场占有率和预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲物联网分析市场展望

• 市场规模和预测
• 市场占有率和预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非

第 10 章：南美洲物联网分析市场展望

• 市场规模和预测
• 市场占有率和预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第 11 章：市场动态

• 驱动程式
• 挑战

第 12 章：市场趋势与发展

• 合併与收购（如有）
• 产品发布（如有）
• 最新动态

第十三章：公司简介

• Microsoft Corporation
• IBM Corporation
• Oracle Corporation
• Cisco Systems, Inc.
• SAP SE
• Amazon Web Services, Inc.
• Hitachi, Ltd.
• Siemens AG
• Hewlett Packard Enterprise
• Intel Corporation

第 14 章：策略建议

第15章调查会社について・免责事项

The Global IoT Analytics Market was valued at USD 27.28 billion in 2024 and is expected to reach USD 101.82 billion by 2030 with a CAGR of 24.36% during the forecast period.

The Internet of Things Analytics Market, commonly referred to as the IoT Analytics Market, encompasses the collection, processing, and analysis of vast volumes of data generated by connected devices, sensors, and IoT systems across multiple industries. IoT analytics enables organizations to transform raw data from smart devices into actionable insights, supporting improved decision-making, operational efficiency, predictive maintenance, and enhanced customer experiences. The market covers a wide array of solutions, including platforms for data management, analytics software, and specialized applications, as well as services such as managed analytics, consulting, and system integration.

Deployment models for IoT analytics span on-premise, cloud, and hybrid infrastructures, providing flexibility for diverse enterprise needs. The market is witnessing accelerated growth driven by several factors. Increasing adoption of Industry 4.0 practices, smart manufacturing, and connected industrial operations is generating immense volumes of data that require sophisticated analytics to optimize production, reduce downtime, and improve quality control. Similarly, sectors such as healthcare are leveraging IoT analytics for patient monitoring, predictive diagnostics, and operational management, while energy and utilities are using analytics to enhance grid management and energy efficiency. The integration of artificial intelligence and machine learning with IoT analytics platforms is further enhancing predictive and prescriptive capabilities, enabling businesses to anticipate failures, optimize resource allocation, and implement automated decision-making.

Key Market Drivers

Proliferation of Connected Devices Driving the IoT Analytics Market

In the contemporary business landscape, the exponential proliferation of connected devices stands as a pivotal force propelling the IoT Analytics Market forward, enabling organizations to harness vast streams of data for strategic decision-making and operational efficiency. As enterprises across sectors such as manufacturing, healthcare, transportation, and retail increasingly integrate Internet of Things ecosystems into their core operations, the sheer volume of generated data necessitates sophisticated analytics solutions to derive actionable insights, mitigate risks, and optimize resource allocation.

This driver is underpinned by the seamless interconnectivity facilitated by advancements in sensor technologies and wireless communication protocols, which allow for real-time data capture from diverse endpoints, ranging from industrial machinery to consumer wearables. Businesses are leveraging this connectivity to enhance predictive maintenance capabilities, where analytics platforms process device-generated data to forecast equipment failures, thereby reducing downtime and extending asset lifespans. Furthermore, in supply chain management, the integration of connected devices enables granular tracking of goods, improving inventory accuracy and minimizing losses through data-driven visibility. The IoT Analytics Market benefits immensely from this trend, as companies seek to transform raw data into competitive advantages, such as personalized customer experiences in retail through behavioral analysis or energy optimization in smart buildings via consumption patterns.

Regulatory pressures for sustainability also amplify this driver, compelling firms to utilize analytics for monitoring environmental impacts, like carbon emissions from fleets of connected vehicles. Economically, the cost reductions achieved through proactive interventions-such as averting costly breakdowns-translate into higher profitability margins, making investments in analytics infrastructure a strategic imperative. Moreover, the convergence with emerging technologies like 5G networks accelerates data transmission speeds, allowing for more complex analytics models that incorporate machine learning algorithms to identify anomalies and trends in large datasets.

This not only fosters innovation but also opens new revenue streams, such as data monetization services where aggregated insights are sold to third parties. Challenges such as data silos and interoperability issues are being addressed through standardized protocols, ensuring that the proliferation of devices does not overwhelm analytics capabilities but rather enhances them. In healthcare, for instance, connected medical devices provide continuous patient monitoring, with analytics enabling early detection of health deteriorations, thus improving outcomes and reducing hospitalization costs.

According to the Organisation for Economic Co-operation and Development (OECD) on measuring the Internet of Things, the total number of IoT connections reached 11.7 billion globally in 2020, with projections estimating 29.3 billion networked devices by 2023, of which 14.7 billion are machine-to-machine connections representing 50 percent of the total. Additionally, machine-to-machine SIM card subscriptions in the OECD area stood at 385 million as of June 2021, up from 132 million in 2015, highlighting a significant adoption surge. The report also notes that low-power wide-area connections for machine-to-machine grew to 223 million in 2018, expected to reach 1.9 billion by 2023, comprising 14 percent of all devices. This proliferation contributes to an economic impact of 0.99 percent annual average addition to gross domestic product growth from 2018 to 2030, equating to approximately 849 billion United States dollars per year in 2018 prices.

Key Market Challenges

Data Security and Privacy Concerns

One of the most significant challenges facing the Internet of Things Analytics Market is ensuring data security and privacy. IoT systems generate enormous volumes of sensitive information across multiple sectors, including healthcare, financial services, manufacturing, energy, and government operations. This data often includes personally identifiable information, operational metrics, and strategic business insights, all of which require robust protection. Cybersecurity breaches, unauthorized access, and data leaks can result in substantial financial losses, reputational damage, and regulatory penalties for organizations. As IoT devices proliferate, the attack surface expands, making it increasingly difficult for enterprises to maintain comprehensive security across all connected devices and networks.

The complexity of securing IoT analytics platforms is compounded by the diverse and heterogeneous nature of devices, communication protocols, and data formats. Many IoT devices are designed for functionality and cost-effectiveness rather than security, leaving them vulnerable to hacking or malware attacks. Additionally, data is frequently transmitted and stored across cloud-based infrastructures, creating potential exposure points. Organizations must invest in advanced encryption techniques, secure authentication mechanisms, and continuous monitoring systems to mitigate risks. Furthermore, regulatory compliance adds another layer of complexity. Different regions enforce varying data protection regulations, such as the General Data Protection Regulation in Europe, which imposes strict requirements on data collection, storage, and processing. Enterprises operating across multiple regions must navigate these regulatory frameworks while ensuring seamless analytics operations.

Addressing security and privacy concerns is not merely a technological challenge but also a strategic and operational consideration. Companies must balance the need for real-time data processing and actionable insights with the imperative to safeguard sensitive information. The development and adoption of comprehensive security frameworks, including data anonymization, end-to-end encryption, and secure device management, are critical to sustaining trust and long-term growth in the Internet of Things Analytics Market. Failure to address these concerns may slow market adoption, particularly in sectors such as healthcare and financial services, where data sensitivity is paramount. As cyber threats evolve and the volume of IoT-generated data continues to expand exponentially, maintaining robust security and privacy standards will remain a persistent and pressing challenge for stakeholders in the market.

Key Market Trends

Increasing Adoption of Artificial Intelligence and Machine Learning

A significant trend shaping the Internet of Things Analytics Market is the increasing integration of artificial intelligence and machine learning technologies into analytics platforms. Organizations across sectors are leveraging these technologies to process massive volumes of data generated by connected devices and transform it into actionable insights. Traditional analytics methods are often insufficient for handling the high velocity, variety, and volume of data in modern IoT ecosystems. Artificial intelligence and machine learning enable predictive and prescriptive analytics, allowing enterprises to anticipate failures, optimize operations, and make proactive business decisions.

In industrial sectors, predictive maintenance powered by machine learning models allows manufacturers to detect anomalies in equipment before they lead to costly downtime, thereby enhancing operational efficiency and reducing maintenance costs. Similarly, in healthcare, artificial intelligence-driven analytics enable real-time monitoring of patient health, early detection of critical conditions, and optimization of treatment plans. The financial sector is also benefiting, with artificial intelligence algorithms analyzing transaction data to detect fraud, assess credit risk, and enhance customer experience. Furthermore, the combination of IoT analytics with machine learning accelerates decision-making in smart cities, enabling efficient traffic management, energy optimization, and resource allocation.

Enterprises are increasingly investing in AI-enabled IoT analytics solutions that support autonomous decision-making and self-learning systems. These capabilities not only improve operational efficiency but also enhance the quality and accuracy of insights, which is critical for strategic planning and risk management. The trend towards integrating artificial intelligence and machine learning within the Internet of Things Analytics Market is expected to continue, driven by the growing demand for intelligent automation, real-time monitoring, and actionable predictive insights. Companies that successfully adopt these technologies will gain competitive advantages by improving operational performance, reducing costs, and delivering superior services to customers, thereby reinforcing the market's rapid growth trajectory.

Key Market Players

• Microsoft Corporation
• IBM Corporation
• Oracle Corporation
• Cisco Systems, Inc.
• SAP SE
• Amazon Web Services, Inc.
• Hitachi, Ltd.
• Siemens AG
• Hewlett Packard Enterprise
• Intel Corporation

Report Scope:

In this report, the Global IoT Analytics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

IoT Analytics Market, By Analytics Type:

• Descriptive Analytics
• Diagnostic Analytics
• Predictive Analytics
• Prescriptive Analytics

IoT Analytics Market, By Service Types:

• Managed Services
• Professional Services

IoT Analytics Market, By End User:

• Manufacturing
• Healthcare
• Energy and Utilities
• Transportation and Logistics
• Retail
• Information Technology and Telecommunications
• Others

IoT Analytics Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
• South America
  • Brazil
  • Argentina
  • Colombia
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global IoT Analytics Market.

Available Customizations:

Global IoT Analytics Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global IoT Analytics Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Analytics Type (Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics)
  • 5.2.2. By Service Types (Managed Services, Professional Services)
  • 5.2.3. By End User (Manufacturing, Healthcare, Energy and Utilities, Transportation and Logistics, Retail, Information Technology and Telecommunications, Others)
  • 5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America IoT Analytics Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Analytics Type
  • 6.2.2. By Service Types
  • 6.2.3. By End User
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States IoT Analytics Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Analytics Type
      • 6.3.1.2.2. By Service Types
      • 6.3.1.2.3. By End User
  • 6.3.2. Canada IoT Analytics Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Analytics Type
      • 6.3.2.2.2. By Service Types
      • 6.3.2.2.3. By End User
  • 6.3.3. Mexico IoT Analytics Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Analytics Type
      • 6.3.3.2.2. By Service Types
      • 6.3.3.2.3. By End User

7. Europe IoT Analytics Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Analytics Type
  • 7.2.2. By Service Types
  • 7.2.3. By End User
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany IoT Analytics Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Analytics Type
      • 7.3.1.2.2. By Service Types
      • 7.3.1.2.3. By End User
  • 7.3.2. France IoT Analytics Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Analytics Type
      • 7.3.2.2.2. By Service Types
      • 7.3.2.2.3. By End User
  • 7.3.3. United Kingdom IoT Analytics Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Analytics Type
      • 7.3.3.2.2. By Service Types
      • 7.3.3.2.3. By End User
  • 7.3.4. Italy IoT Analytics Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Analytics Type
      • 7.3.4.2.2. By Service Types
      • 7.3.4.2.3. By End User
  • 7.3.5. Spain IoT Analytics Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Analytics Type
      • 7.3.5.2.2. By Service Types
      • 7.3.5.2.3. By End User

8. Asia Pacific IoT Analytics Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Analytics Type
  • 8.2.2. By Service Types
  • 8.2.3. By End User
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China IoT Analytics Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Analytics Type
      • 8.3.1.2.2. By Service Types
      • 8.3.1.2.3. By End User
  • 8.3.2. India IoT Analytics Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Analytics Type
      • 8.3.2.2.2. By Service Types
      • 8.3.2.2.3. By End User
  • 8.3.3. Japan IoT Analytics Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Analytics Type
      • 8.3.3.2.2. By Service Types
      • 8.3.3.2.3. By End User
  • 8.3.4. South Korea IoT Analytics Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Analytics Type
      • 8.3.4.2.2. By Service Types
      • 8.3.4.2.3. By End User
  • 8.3.5. Australia IoT Analytics Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Analytics Type
      • 8.3.5.2.2. By Service Types
      • 8.3.5.2.3. By End User

9. Middle East & Africa IoT Analytics Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Analytics Type
  • 9.2.2. By Service Types
  • 9.2.3. By End User
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia IoT Analytics Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Analytics Type
      • 9.3.1.2.2. By Service Types
      • 9.3.1.2.3. By End User
  • 9.3.2. UAE IoT Analytics Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Analytics Type
      • 9.3.2.2.2. By Service Types
      • 9.3.2.2.3. By End User
  • 9.3.3. South Africa IoT Analytics Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Analytics Type
      • 9.3.3.2.2. By Service Types
      • 9.3.3.2.3. By End User

10. South America IoT Analytics Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Analytics Type
  • 10.2.2. By Service Types
  • 10.2.3. By End User
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil IoT Analytics Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Analytics Type
      • 10.3.1.2.2. By Service Types
      • 10.3.1.2.3. By End User
  • 10.3.2. Colombia IoT Analytics Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Analytics Type
      • 10.3.2.2.2. By Service Types
      • 10.3.2.2.3. By End User
  • 10.3.3. Argentina IoT Analytics Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Analytics Type
      • 10.3.3.2.2. By Service Types
      • 10.3.3.2.3. By End User

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Company Profiles

• 13.1. Microsoft Corporation
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. IBM Corporation
• 13.3. Oracle Corporation
• 13.4. Cisco Systems, Inc.
• 13.5. SAP SE
• 13.6. Amazon Web Services, Inc.
• 13.7. Hitachi, Ltd.
• 13.8. Siemens AG
• 13.9. Hewlett Packard Enterprise
• 13.10. Intel Corporation

14. Strategic Recommendations

15. About Us & Disclaimer