![]() |
市場調査レポート
商品コード
1743773
IIoT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、用途別、地域別、競合別セグメント、2020~2030FIIoT Platform Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering, By Application, By Region & Competition, 2020-2030F |
||||||
カスタマイズ可能
|
IIoT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、用途別、地域別、競合別セグメント、2020~2030F |
出版日: 2025年06月06日
発行: TechSci Research
ページ情報: 英文 180 Pages
納期: 2~3営業日
|
IIoTプラットフォームの世界市場規模は2024年に100億6,000万米ドル、2030年には205億米ドルに達し、予測期間中のCAGRは12.60%で成長すると予測されています。
産業用モノのインターネット(IIoT)プラットフォームは、インターネットを介して産業用資産の接続、監視、分析を可能にする統合ソフトウェア環境として機能します。これらのプラットフォームは、リアルタイムのデータ取得、予測分析、自動化を促進するため、製造、エネルギー、公益事業、運輸の各分野で採用が進んでいます。デジタルトランスフォーメーションとインダストリー4.0が勢いを増し続ける中、企業はIIoTプラットフォームを活用して生産を最適化し、ダウンタイムを最小限に抑え、安全性を高めています。AI、エッジコンピューティング、クラウドサービスの進化と相まって、接続されたセンサーやデバイスの存在感が増しているため、IIoTプラットフォームはオペレーショナル・インテリジェンスに不可欠なツールとして位置付けられています。コストの削減、生産品質の向上、規制遵守の確保が重視されるようになり、業界がデータ主導のスマートな製造エコシステムにシフトするにつれて、市場は堅調な拡大が見込まれます。
市場概要 | |
---|---|
予測期間 | 2026-2030 |
市場規模:2024年 | 100億6,000万米ドル |
市場規模:2030年 | 205億米ドル |
CAGR:2025年~2030年 | 12.60% |
急成長セグメント | ビジネスプロセスの最適化 |
最大市場 | 北米 |
業務効率向上のための産業用コネクテッドデバイスとセンサーの採用増加
産業環境におけるデータセキュリティとプライバシーへの懸念
産業オートメーション強化のための人工知能と機械学習の統合
The Global IIoT Platform Market was valued at USD 10.06 billion in 2024 and is projected to reach USD 20.50 billion by 2030, growing at a CAGR of 12.60% during the forecast period. Industrial Internet of Things (IIoT) platforms serve as integrated software environments that enable the connection, monitoring, and analysis of industrial assets via the internet. These platforms are increasingly being adopted across manufacturing, energy, utilities, and transportation sectors to facilitate real-time data acquisition, predictive analytics, and automation. As digital transformation and Industry 4.0 continue to gain momentum, businesses are leveraging IIoT platforms to optimize production, minimize downtime, and enhance safety. The growing presence of connected sensors and devices, combined with advancements in AI, edge computing, and cloud services, has positioned IIoT platforms as essential tools for operational intelligence. With increasing emphasis on reducing costs, improving output quality, and ensuring regulatory compliance, the market is expected to witness robust expansion as industries shift toward data-driven, smart manufacturing ecosystems.
Market Overview | |
---|---|
Forecast Period | 2026-2030 |
Market Size 2024 | USD 10.06 Billion |
Market Size 2030 | USD 20.50 Billion |
CAGR 2025-2030 | 12.60% |
Fastest Growing Segment | Business Process Optimization |
Largest Market | North America |
Key Market Drivers
Increasing Adoption of Connected Industrial Devices and Sensors to Enhance Operational Efficiency
The widespread deployment of connected industrial sensors and devices is a primary factor accelerating growth in the global IIoT platform market. Modern industries are transitioning from legacy systems to intelligent equipment that enables continuous data capture and monitoring. This connectivity allows businesses to implement predictive maintenance strategies, detect anomalies early, and reduce unplanned downtime, ultimately improving operational efficiency. IIoT platforms enable centralized data collection and analysis, equipping enterprises with actionable insights for optimizing production lines, reducing waste, and enhancing asset utilization. These tools also support remote access and control, reducing the need for onsite personnel while improving responsiveness to system issues. As organizations increasingly invest in smart device integration to stay competitive and agile, the demand for robust IIoT platforms capable of managing and analyzing vast, complex data streams is growing rapidly. With over 60% of industrial firms increasing investment in connected device technology in recent years, these tools have become critical to sustaining efficient and reliable operations.
Key Market Challenges
Data Security and Privacy Concerns in Industrial Environments
One of the major hurdles facing the global IIoT platform market is the challenge of maintaining data security and privacy in highly connected industrial settings. IIoT platforms aggregate and transmit critical operational data across networks, increasing exposure to cybersecurity threats such as unauthorized access, malware, and data breaches. The complexity of industrial networks, which often include a mix of outdated and modern systems, creates vulnerabilities that are difficult to secure with uniform protocols. This fragmented infrastructure heightens the risk of compromised data integrity and system disruptions. Additionally, the global nature of industrial operations means that companies must navigate diverse regulatory environments and data protection laws, adding compliance complexity. Smaller enterprises, in particular, may struggle with the costs and expertise required to implement comprehensive cybersecurity frameworks. As a result, concerns around security and privacy continue to limit the pace of IIoT platform adoption in some sectors, underscoring the need for robust, scalable, and compliant security solutions.
Key Market Trends
Integration of Artificial Intelligence and Machine Learning for Enhanced Industrial Automation
The integration of artificial intelligence and machine learning into IIoT platforms is an emerging trend that is significantly reshaping industrial automation. Modern IIoT platforms are evolving to not only collect and visualize data but also to analyze it in real time using intelligent algorithms. AI-driven capabilities enable predictive maintenance, process optimization, and automated decision-making, reducing the need for manual intervention. This transition supports a shift from reactive to proactive operations, helping businesses minimize downtime and enhance productivity. Machine learning models also improve over time by learning from historical data, allowing continuous refinement of insights and process controls. As computing power becomes more accessible and data volumes increase, these intelligent systems are enabling greater autonomy and adaptability in industrial environments. The rising use of AI within IIoT platforms is helping companies unlock deeper operational efficiencies and reinforcing the role of digital intelligence in industrial strategy.
In this report, the Global IIoT Platform Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global IIoT Platform Market.
Global IIoT 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: