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Industrial Digital Technology Outlook 2026 Highlights Growth and Trends

lite News Desk 2 min read

At a glance

  • IoT Analytics released a 112-page outlook on industrial digital technologies
  • Industrial IoT market size forecasts for 2026 range from USD 191.44 billion to USD 317.09 billion
  • Edge AI and real-time analytics are key trends in industrial IoT

The “Industrial Digital Technology Outlook 2026” report from IoT Analytics provides an overview of emerging technologies in the industrial sector. The report covers trends across artificial intelligence, robotics, IoT connectivity, and cloud software.

IoT Analytics’ publication examines more than 60 technologies shaping industrial digitalization. The report spans 112 pages and addresses developments in automation, machine learning, and software integration within industrial operations.

In January 2026, IoT Analytics also published a related 124-page report focusing on enterprise IoT and the integration of artificial intelligence in connected operations. Both reports analyze the evolving landscape of industrial digital technology and its applications.

Market research organizations have released several forecasts for the size of the global Industrial IoT market in 2026. These estimates vary, with projected market values ranging from approximately USD 191.44 billion to USD 317.09 billion, depending on the source and methodology.

What the numbers show

  • The Business Research Company projects the Industrial IoT market to reach USD 317.09 billion in 2026
  • Research Nester estimates the market at USD 309.71 billion for 2026
  • Mordor Intelligence forecasts growth from USD 154.14 billion in 2025 to USD 191.44 billion in 2026

Recent trends in industrial IoT include the adoption of edge AI, where machine learning models are embedded directly into edge devices. This approach enables real-time analytics, predictive maintenance, and anomaly detection within industrial environments.

Industry predictions for 2026 highlight several anticipated developments, such as the convergence of industrial IoT and artificial intelligence for real-time safety intelligence. Additional trends include enhanced security and data privacy, the use of operational digital twins, and the creation of unified IIoT safety ecosystems.

Intelligent industrial networks and the integration of advanced analytics are also expected to play a role in shaping future industrial operations. These advancements are aimed at improving efficiency and supporting data-driven decision-making.

The outlook reports from IoT Analytics and other market research firms provide data and analysis to support planning and investment in industrial digital technologies. These publications serve as references for organizations seeking to understand current and future trends in the sector.

* This article is based on publicly available information at the time of writing.

Sources and further reading

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