AIoTプラットフォーム市場- 世界の産業規模、シェア、動向、機会、予測、オファリング別、分野別、地域別、競合別、2020年～2030年予測

AIoTプラットフォームの世界市場は、2024年に58億9,000万米ドルと評価され、2030年には322億9,000万米ドルに達し、CAGR 32.79％で成長すると予測されています。

この市場は、人工知能をIoTエコシステムに統合し、様々な産業でインテリジェントなリアルタイムの意思決定を可能にします。AIoTプラットフォームは、接続されたデバイスからのシームレスなデータ収集を容易にし、機械学習、エッジコンピューティング、リアルタイム分析を適用して実用的な洞察を生み出します。これらの機能は、運用コストの削減、ダウンタイムの最小化、自動化のサポートに役立ちます。5Gの展開と高度なエッジインフラに支えられたコネクテッドデバイスの拡大は、プラットフォームの機能と採用を大幅に後押ししています。政府と企業はスマートインフラとインダストリー4.0構想に投資しており、需要をさらに加速させています。さらに、AIoTプラットフォームは、サプライチェーンの効率強化、エネルギー使用量の監視、顧客体験のパーソナライズにも利用されています。技術コストが低下し、セキュリティ機能が向上するにつれて、これらのプラットフォームはよりスケーラブルで利用しやすくなり、各分野で市場の堅調な成長を後押ししています。

市場促進要因

産業オペレーションにおける予知保全を改善するモノの人工知能プラットフォームの採用増加

主な市場課題

データプライバシーとセキュリティへの懸念が普及を妨げる

主な市場動向

AIoTプラットフォームにおける人工知能とエッジコンピューティングの融合

目次

第1章 ソリューションの概要

• 市場の定義
• 市場の範囲
  • 対象市場
  • 調査対象年
  • 主要市場セグメンテーション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界のAIoTプラットフォーム市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • 提供内容（ソリューション、サービス）
  • 業界別（BFSI、製造、ヘルスケア、エネルギー・公益事業、小売、運輸・物流、その他）
  • 地域別（北米、欧州、南米、中東・アフリカ、アジア太平洋）
• 企業別（2024）
• 市場マップ

第6章 北米のAIoTプラットフォーム市場展望

• 市場規模・予測
• 市場シェア・予測
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第7章 欧州のAIoTプラットフォーム市場展望

• 市場規模・予測
• 市場シェア・予測
• 欧州：国別分析
  • ドイツ
  • フランス
  • 英国
  • イタリア
  • スペイン

第8章 アジア太平洋地域のAIoTプラットフォーム市場展望

• 市場規模・予測
• 市場シェア・予測
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア

第9章 中東・アフリカのAIoTプラットフォーム市場展望

• 市場規模・予測
• 市場シェア・予測
• 中東・アフリカ：国別分析
  • サウジアラビア
  • アラブ首長国連邦
  • 南アフリカ

第10章 南米のAIoTプラットフォーム市場展望

• 市場規模・予測
• 市場シェア・予測
• 南米：国別分析
  • ブラジル
  • コロンビア
  • アルゼンチン

第11章 市場力学

• 促進要因
• 課題

第12章 市場動向と発展

• 合併と買収
• 製品上市
• 最近の動向

第13章 企業プロファイル

• IBM Corporation
• Microsoft Corporation
• Google LLC
• Cisco Systems, Inc.
• Siemens AG
• Huawei Technologies Co., Ltd.
• Intel Corporation
• SAP SE

第14章 戦略的提言

第15章 調査会社について・免責事項

The Global AIoT Platform Market was valued at USD 5.89 billion in 2024 and is projected to reach USD 32.29 billion by 2030, growing at a CAGR of 32.79%. This market encompasses the integration of artificial intelligence into IoT ecosystems to enable intelligent, real-time decision-making across various industries. AIoT platforms facilitate seamless data collection from connected devices and apply machine learning, edge computing, and real-time analytics to generate actionable insights. These capabilities help reduce operational costs, minimize downtime, and support automation. The expansion of connected devices, supported by 5G deployment and advanced edge infrastructure, is significantly boosting platform capabilities and adoption. Governments and enterprises are investing in smart infrastructure and Industry 4.0 initiatives, further accelerating demand. Additionally, AIoT platforms are being used to enhance supply chain efficiency, monitor energy usage, and personalize customer experiences. As technology costs decline and security features improve, these platforms are becoming more scalable and accessible, fueling robust market growth across sectors.

Key Market Drivers

Increasing Adoption of Artificial Intelligence of Things Platforms to Improve Predictive Maintenance in Industrial Operations

AIoT platforms are revolutionizing industrial maintenance by enabling predictive capabilities that prevent equipment failures and unplanned downtime. Through embedded sensors and real-time data analysis, organizations can monitor machinery health continuously and detect early signs of wear or malfunction. AI algorithms use historical and real-time data to forecast maintenance requirements, allowing for timely interventions and prolonged asset life. This shift from reactive to condition-based maintenance leads to improved productivity and operational efficiency in industries such as manufacturing, transportation, and energy. Remote monitoring enabled by AIoT also allows better oversight of facilities across wide geographic areas. With the ability to autonomously adjust operational parameters and issue alerts, AIoT systems reduce manual inspections and improve workplace safety. As companies seek to enhance their resilience and competitiveness, the implementation of AIoT-based predictive maintenance is becoming a strategic priority. For example, an automotive plant reported a 30% drop in unplanned downtime within the first year of deploying AIoT solutions.

Key Market Challenges

Data Privacy and Security Concerns Hindering Widespread Adoption

The large-scale integration of AIoT platforms brings with it substantial data security and privacy challenges. As connected devices generate and transmit vast amounts of data across networks and cloud environments, vulnerabilities to cyberattacks and data breaches increase. This is particularly critical in highly regulated sectors like healthcare, finance, and infrastructure, where breaches can cause severe damage. Compliance with international and regional data protection laws complicates implementation, especially in cross-border operations. The growing sophistication of cyber threats demands constant upgrades to detection systems, encryption protocols, and response strategies. Achieving a balance between system interoperability and robust security is a persistent hurdle. Moreover, uncertainty around data ownership and sovereignty discourages collaboration and slows innovation. Without unified standards and enhanced cybersecurity frameworks, these concerns may hinder the broader adoption and scalability of AIoT platforms across industries.

Key Market Trends

Convergence of Artificial Intelligence and Edge Computing in AIoT Platforms

The integration of AI with edge computing is a major trend reshaping the AIoT Platform Market. This convergence allows real-time data analysis at or near the source-within devices and sensors-reducing reliance on centralized cloud systems. Such low-latency processing is critical in applications like autonomous vehicles, industrial robotics, and smart urban infrastructure. Edge-based AI enhances responsiveness, improves security by limiting data transmission, and lowers bandwidth costs. As industries prioritize real-time decision-making and localized intelligence, hybrid AIoT architectures that combine edge and cloud computing are gaining traction. This trend is driving advancements in compact, high-performance hardware and efficient, lightweight AI algorithms tailored for edge environments. The growing demand for edge-enabled platforms is promoting innovation and scalability, positioning edge AI as a cornerstone of next-generation AIoT development.

Key Market Players

• IBM Corporation
• Microsoft Corporation
• Google LLC
• Cisco Systems, Inc.
• Siemens AG
• Huawei Technologies Co., Ltd.
• Intel Corporation
• SAP SE

Report Scope:

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

AIoT Platform Market, By Offering:

• Solutions
• Services

AIoT Platform Market, By Vertical:

• BFSI
• Manufacturing
• Healthcare
• Energy & Utilities
• Retail
• Transportation & Logistics
• Others

AIoT Platform Market, By Region:

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

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global AIoT Platform Market.

Available Customizations:

Global AIoT Platform 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. Solution 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 AIoT Platform Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Offering (Solutions, Services)
  • 5.2.2. By Vertical (BFSI, Manufacturing, Healthcare, Energy & Utilties, Retail, Transportation & Logistics, Others)
  • 5.2.3. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America AIoT Platform Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Offering
  • 6.2.2. By Vertical
  • 6.2.3. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States AIoT Platform 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 Offering
      • 6.3.1.2.2. By Vertical
  • 6.3.2. Canada AIoT Platform 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 Offering
      • 6.3.2.2.2. By Vertical
  • 6.3.3. Mexico AIoT Platform 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 Offering
      • 6.3.3.2.2. By Vertical

7. Europe AIoT Platform Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Offering
  • 7.2.2. By Vertical
  • 7.2.3. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany AIoT Platform 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 Offering
      • 7.3.1.2.2. By Vertical
  • 7.3.2. France AIoT Platform 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 Offering
      • 7.3.2.2.2. By Vertical
  • 7.3.3. United Kingdom AIoT Platform 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 Offering
      • 7.3.3.2.2. By Vertical
  • 7.3.4. Italy AIoT Platform 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 Offering
      • 7.3.4.2.2. By Vertical
  • 7.3.5. Spain AIoT Platform 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 Offering
      • 7.3.5.2.2. By Vertical

8. Asia Pacific AIoT Platform Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Offering
  • 8.2.2. By Vertical
  • 8.2.3. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China AIoT Platform 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 Offering
      • 8.3.1.2.2. By Vertical
  • 8.3.2. India AIoT Platform 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 Offering
      • 8.3.2.2.2. By Vertical
  • 8.3.3. Japan AIoT Platform 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 Offering
      • 8.3.3.2.2. By Vertical
  • 8.3.4. South Korea AIoT Platform 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 Offering
      • 8.3.4.2.2. By Vertical
  • 8.3.5. Australia AIoT Platform 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 Offering
      • 8.3.5.2.2. By Vertical

9. Middle East & Africa AIoT Platform Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Offering
  • 9.2.2. By Vertical
  • 9.2.3. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia AIoT Platform 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 Offering
      • 9.3.1.2.2. By Vertical
  • 9.3.2. UAE AIoT Platform 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 Offering
      • 9.3.2.2.2. By Vertical
  • 9.3.3. South Africa AIoT Platform 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 Offering
      • 9.3.3.2.2. By Vertical

10. South America AIoT Platform Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Offering
  • 10.2.2. By Vertical
  • 10.2.3. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil AIoT Platform 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 Offering
      • 10.3.1.2.2. By Vertical
  • 10.3.2. Colombia AIoT Platform 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 Offering
      • 10.3.2.2.2. By Vertical
  • 10.3.3. Argentina AIoT Platform 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 Offering
      • 10.3.3.2.2. By Vertical

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. IBM 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. Microsoft Corporation
• 13.3. Google LLC
• 13.4. Cisco Systems, Inc.
• 13.5. Siemens AG
• 13.6. Huawei Technologies Co., Ltd.
• 13.7. Intel Corporation
• 13.8. SAP SE

14. Strategic Recommendations

15. About Us & Disclaimer