物聯網分析市場－全球產業規模、佔有率、趨勢、機會和預測，按分析類型、服務類型、最終用戶、地區和競爭細分，2020-2030 年預測

2024 年全球物聯網分析市場價值為 272.8 億美元，預計到 2030 年將達到 1,018.2 億美元，預測期內複合年成長率為 24.36%。

物聯網分析市場，通常稱為IoT分析市場，涵蓋了跨產業的互聯設備、感測器和物聯網系統產生的大量資料的收集、處理和分析。物聯網分析使企業能夠將智慧型裝置的原始資料轉化為可操作的洞察，從而支援改善決策、提高營運效率、進行預測性維護並提升客戶體驗。該市場涵蓋廣泛的解決方案，包括資料管理平台、分析軟體和專用應用程式，以及託管分析、諮詢和系統整合等服務。

物聯網分析的部署模式涵蓋本地部署、雲端和混合式基礎設施，可為多樣化的企業需求提供靈活性。受多種因素推動，物聯網市場正加速成長。工業 4.0 實踐、智慧製造和互聯工業營運的日益普及正在產生大量資料，這些數據需要複雜的分析來最佳化生產、減少停機時間並改善品質控制。同樣，醫療保健等行業正在利用物聯網分析進行患者監測、預測性診斷和營運管理，而能源和公用事業則利用分析來增強電網管理和能源效率。人工智慧和機器學習與物聯網分析平台的整合進一步增強了預測和規範能力，使企業能夠預測故障、最佳化資源配置並實施自動化決策。

關鍵市場促進因素

連網設備的激增推動物聯網分析市場的發展

主要市場挑戰

資料安全和隱私問題

主要市場趨勢

人工智慧和機器學習的採用率不斷提高

目錄

第 1 章：產品概述

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球物聯網分析市場展望

• 市場規模和預測
  • 按價值
• 市場佔有率和預測
  • 依分析類型（描述性分析、診斷性分析、預測性分析、規範分析）
  • 依服務類型（託管服務、專業服務）
  • 按最終用戶（製造業、醫療保健、能源和公用事業、運輸和物流、零售、資訊科技和電信、其他）
  • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
• 按公司分類（2024 年）
• 市場地圖

第6章：北美物聯網分析市場展望

• 市場規模和預測
• 市場佔有率和預測
• 北美：國家分析
  • 美國
  • 加拿大
  • 墨西哥

第7章：歐洲物聯網分析市場展望

• 市場規模和預測
• 市場佔有率和預測
• 歐洲：國家分析
  • 德國
  • 法國
  • 英國
  • 義大利
  • 西班牙

第8章：亞太地區物聯網分析市場展望

• 市場規模和預測
• 市場佔有率和預測
• 亞太地區：國家分析
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲

第9章：中東和非洲物聯網分析市場展望

• 市場規模和預測
• 市場佔有率和預測
• 中東和非洲：國家分析
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非

第 10 章：南美洲物聯網分析市場展望

• 市場規模和預測
• 市場佔有率和預測
• 南美洲：國家分析
  • 巴西
  • 哥倫比亞
  • 阿根廷

第 11 章：市場動態

• 驅動程式
• 挑戰

第 12 章：市場趨勢與發展

• 合併與收購（如有）
• 產品發布（如有）
• 最新動態

第13章：公司簡介

• 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：策略建議

第15章調查會社について,免責事項

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