Cloud Computing Drives Growth In Industrial IoT AI Market: Pivotal Factor Influencing Cloud Computing In Industrial IoT AI Market Growth in 2025

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Cloud Computing In Industrial IoT AI Market Size Growth Forecast: What to Expect by 2025?
The industrial IoT AI market for cloud computing has seen a swift expansion in the past few years. The market value is expected to surge from $98.34 billion in 2024 to $116.34 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 18.3%. Factors such as an aging demographic, an increase in neurological conditions, advancements in cognitive science, heightened awareness of mental health, and personalized medicinal approaches have contributed to this growth in the historical period.

How Will the Cloud Computing In Industrial IoT AI Market Size Evolve and Grow by 2029?
Industrial IoT AI's cloud computing market size is projected to experience significant expansion in the upcoming years, reaching $231.77 billion by 2029 with a compound annual growth rate (CAGR) of 18.8%. This growth during the prediction period is due to factors such as the integration with electronic health records (EHR), an emphasis on early intervention, the broadening scope of remote patient monitoring, rising mental health issues, and global health initiatives. Key trends during this period incorporate the adoption of digital therapeutics, technological advancements in AI and VR, evolving trends in digital health and telemedicine, collaborations with research institutes, and the game-based approach to cognitive training.

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What Drivers Are Propelling the Growth of Cloud Computing In Industrial IoT AI Market Forward?
The growing utilization of cloud computing is anticipated to stimulate the expansion of cloud computing in the industrial IoT AI sector. Cloud computing, essentially a web-based delivery of computing facilities, enables swift innovation, adaptable resources, and cost-efficient solutions by providing on-demand access to servers, storage, software, and other necessities. In the realm of industrial IoT AI, cloud computing augments demand by providing an expandable infrastructure with real-time tracking and efficient data storing for frictionless integration. The architectures and services of the cloud that are responsible for driving the Internet of Things (IoT) have the ability to store and manage data derived from AI platforms on IoT gadgets, ensuring continuous connectivity, effective data handling, and sophisticated analytics. For instance, in December 2023, as per the data released by Eurostat, a UK-based intergovernmental organization, 45.2% of the businesses in the European Union (EU) had procured cloud computing services, primarily for hosting their email platforms, keeping electronic records, and performing miscellaneous tasks. There was a surge of 4.2 percentage points in EU enterprises' procurement of cloud computing services in 2023 relative to 2021. Reportedly, the largest purchase of such services was made by large businesses, registering 77.6% in 2023 - a rise of 6 percentage points from two years prior. Consequently, the surge in cloud computing usage is propelling the growth of industrial IoT AI market's cloud computing component.

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Which Emerging Trends Are Transforming the Cloud Computing In Industrial IoT AI Market in 2025?
In the industrial IoT AI market, leading cloud computing firms are increasingly concentrating their efforts on creating innovative technological solutions such as cloud-based development environment platforms, to establish a distinct position in the market. A cloud-based development environment platform is a unified platform where software development units can collaborate, create, examine, and launch applications. To illustrate, Renesas Electronics Corporation, a semiconductor manufacturing company based in Japan, in December 2023, introduced the AI Workbench. This is a cloud-based virtual setting that provides developers the ability to design, simulate, and test software applications. It serves as a virtual development environment where automotive AI engineers can create, simulate, and test software for different applications using Renesas' scalable automotive SoCs (system-on-chip) and microcontrollers. The AI Workbench is built on the Microsoft Azure Cloud and will also be backed by other cloud providers, hence offering customers the flexibility to incorporate AI Workbench capabilities into their development process.

What Are the Key Segments in the Cloud Computing In Industrial IoT AI Market?
The cloud computing in industrial iot ai market covered in this report is segmented -

1) By Cloud Type: Hybrid, Private, Public
2) By Sensor Type: Optical Sensors, Pressure Sensors, Proximity Sensors, Temperature Sensors
3) By Model: Infrastructure As A Service (IaaS), Platform As A Service (PaaS), Software As A Service (SaaS)
4) By End-User: Energy, Healthcare, Manufacturing, Mining And Agriculture, Oil And Gas, Transportation

Subsegments:
1) By Hybrid: Hybrid Cloud Solutions, Multi-Cloud Strategies, Edge Computing Integration
2) By Private: Dedicated Private Cloud Solutions, Managed Private Cloud Services, On-Premises Private Cloud Infrastructure
3) By Public: Public Cloud Platforms, SaaS (Software As A Service) Solutions, Public Cloud IoT Services

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Who Are the Key Players Shaping the Cloud Computing In Industrial IoT AI Market's Competitive Landscape?
Major companies operating in the cloud computing in industrial IoT AI market report are Google LLC (Alphabet), Microsoft Corp., Robert Bosch GmbH, Hitachi Ltd., Amazon Web Services Inc. (AWS), Siemens AG, General Electric, Intel Corp., IBM Corp., Cisco Systems Inc., Oracle Corp., Schneider Electric SE, Honeywell International Inc., ABB Ltd., Fujitsu Ltd., Salesforce Inc., Cority Software Inc., DXC Technologies, IROOTECH (Sany Group), Rockwell Automation, Wolters Kluwer N.V., Iron Mountain Inc., Advantech, PTC ThingWorx, LosantIOT Inc., Fogwing Cloud (Factana Computing Pvt)

What Geographic Markets Are Powering Growth in the Cloud Computing In Industrial IoT AI Market?
North America was the largest region in the cloud computing in industrial IoT AI market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the cloud computing in industrial iot ai market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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