What Is Driving Global Cloud Computing In Industrial IoT AI Market Growth in 2025: The Role of Cloud Computing Drives Growth In Industrial IoT AI Market

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Cloud Computing In Industrial IoT AI Market Size Growth Forecast: What to Expect by 2025?
The industrial IoT AI cloud computing market has seen quick expansion in recent years. It is projected to rise from $98.34 billion in 2024 to $116.33 billion in 2025, representing a compound annual growth rate (CAGR) of 18.3%. Factors such as the aging population, an increase in neurological conditions, advancements in cognitive science, heightened awareness of mental health, and the use of personalized medicine have all contributed to growth during the historic period.

How Will the Cloud Computing In Industrial IoT AI Market Size Evolve and Grow by 2029?
Anticipations for the industrial iot ai market size in cloud computing foresee a swift expansion in the upcoming years. The market is predicted to surge up to $231.14 billion by 2029 with a compound annual growth rate (CAGR) of 18.7%. This impressive development during the forecast period can be ascribed to digital innovations like electronic health record (EHR) integration, a shift towards early intervention approaches, the extension of remote patient supervision, escalating mental health issues, and global wellness programs. Key trends that are expected to shape this period include growing adoption of digital therapeutics, advanced AI and VR technologies, digital health and telemedicine innovations, partnerships with research institutions, and the introduction of cognitive training through gaming.

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What Drivers Are Propelling the Growth of Cloud Computing In Industrial IoT AI Market Forward?
The surge in cloud computing adoption is set to fuel the expansion of the industrial IoT AI market, attributed to cloud computing's role in enhancing technological advancement, resource flexibility, and cost efficiency. Cloud computing, the on-demand delivery of computing services via the internet, enables users to easily access servers, storage, software, and other resources. This technology, when integrated with industrial IoT AI, stimulates demand by providing scalable infrastructures, real-time analytical capabilities, and effective data storage, ensuring a flawless integration process. The structures and services of the cloud that facilitate the operation of the Internet of Things (IoT) can manage and process data generated by IoT devices using AI platforms, effectively improving connectivity, data handling, and advanced analytics. For instance, Eurostat, a UK-based intergovernmental organization, stated that in December 2023, 45.2% of EU (European Union) enterprises availed of cloud computing services, primarily for hosting email systems, electronic file storage, and performing other tasks. This represents a 4.2-percentage point increase in purchases of cloud computing services by EU businesses in 2023 compared to 2021. Large businesses led the way, with 77.6% investing in cloud computing services in 2023-up by 6 percentage points from 2021. As such, the rising adoption of cloud computing is a key driver behind the growth of the industrial IoT AI market.

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Which Emerging Trends Are Transforming the Cloud Computing In Industrial IoT AI Market in 2025?
Several leading firms in the industrial IoT AI market that deal with cloud computing are focusing on enhancing their competitive positioning through the creation of innovative technology solutions, including cloud-based development environment platforms. Such a platform offers a unified platform where software development teams can interact, construct, examine, and implement software applications. For example, Renesas Electronics Corporation, a semiconductor manufacturing company from Japan, introduced their AI Workbench, a virtual environment based in the cloud, in December 2023. The platform allows developers to design, simulate, and test a vast range of application's software. It gives automotive AI engineers a virtual development environment to work with Renesas' versatile automotive SoCs (system-on-chip) and microcontrollers for designing, simulating, and testing software for different applications. The AI Workbench is housed on the Microsoft Azure Cloud and is expected to have the support of additional cloud vendors, which enables customers to incorporate the AI Workbench features into their development processes.

What Are the Key Segments in the Cloud Computing In Industrial IoT AI Market?
The cloud computing in industrial iot aimarket 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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