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Cloud Computing Drives Growth In Industrial IoT AI Market: A Key Factor Shaping the Future of the Cloud Computing In Industrial IoT AI Market in 2025
Which drivers are expected to have the greatest impact on the over the cloud computing in industrial iot ai market's growth?The growing utilization of cloud computing is projected to drive the expansion of this technology within the industrial IoT AI sector. Operating via the internet, cloud computing delivers computing services, promoting quicker innovation, adaptable resources and cost-efficient solutions by providing on-demand access to servers, storage, software, and other resources. The integration of cloud computing in industrial IoT AI stimulates demand by providing scalable infrastructure, real-time data analysis, and efficient data storage for smooth integration. The architectures and services of the cloud that fuel the Internet of Things (IoT) can house and process data produced by AI platforms on IoT devices, enabling uninterrupted connectivity, data management, and advanced analytics. For instance, in December 2023, as per data from Eurostat, a UK-based intergovernmental organization, 45.2% of EU (European Union) enterprises procured cloud computing services, primarily to manage their email systems, store electronic files, and perform other necessary tasks. The acquisition of cloud computing services by EU companies saw an increase of 4.2 percentage points in 2023 as opposed to 2021. The percentage of businesses purchasing cloud computing services was most prevalent among large businesses, with 77.6% reportedly doing so in 2023, reflecting a 6 percentage point rise from 2021. Consequently, the growing trend of adopting cloud computing is responsible for the rising expansion of cloud computing in the industrial IoT AI market.
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What is the future CAGR of the cloud computing in industrial iot ai market, and how will it impact industry expansion?
The market size of cloud computing in the industrial iot ai sector has seen a fast-paced expansion over the recent years. It is predicted to increase from $98.34 billion in 2024 to $116.34 billion in 2025, marking a compound annual growth rate (CAGR) of 18.3%. Factors such as an aging population, an increase in neurological disorders, advancements in the field of cognitive science, heightened awareness about mental health and the adaptation of personalized medicine approaches have contributed to the growth seen in the past.
The industrial iot ai market for cloud computing is projected to witness a substantial surge in its size over the coming years, escalating to $231.77 billion in 2029 with a compounding annual growth rate (CAGR) of 18.8%. This anticipated growth during the forecast period can be credited to factors such as the amalgamation with electronic health records (EHR), emphasis on preliminary intervention and an expansion in remote patient monitoring, along with rising mental health concerns and global health initiatives. Among the key trends observed for this forecast period are the adoption of digital therapeutics, advancements in AI and VR technology, digital health and telemedicine trends, partnerships with research institutions, and the gamification of cognitive training.
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What new trends are reshaping the cloud computing in industrial iot ai market and its opportunities?
Firms dominating the industrial IoT AI market in cloud computing are intensifying their efforts in creating fresh technological solutions, such as platforms for cloud-based development environments, to carve out a competitive advantage in the industry. A platform for a cloud-based development environment acts as a unified base for software development teams to collaborate, construct, examine, and introduce applications. For example, in December 2023, Renesas Electronics Corporation, a manufacturer of semiconductors based in Japan, rolled out the AI Workbench, a virtual environment built on the cloud that enables developers to create, simulate, and check software across various applications. This is a virtual development environment that empowers automotive AI engineers to craft, simulate, and verify software across various applications using Renesas' scalable automotive SoCs (system-on-chip) and microcontrollers. This platform is constructed on the Microsoft Azure Cloud and will be backed by other cloud service providers, enabling customers to blend the AI Workbench's functionality into their development process.
Which key market segments comprise the cloud computing in industrial iot ai market and drive its revenue growth?
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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What regions are at the forefront of cloud computing in industrial iot ai market expansion?
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.
Who are the leading players fueling growth in the cloud computing in industrial iot ai market?
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)
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What Is Covered In The Cloud Computing In Industrial IoT AI Global Market Report?
• Market Size Forecast: Examine the cloud computing in industrial iot ai market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the cloud computing in industrial iot ai market for a structured understanding.
• Key Players Overview: Analyze major players in the cloud computing in industrial iot ai market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the cloud computing in industrial iot ai market.
• Segment Contributions: Evaluate how different segments drive overall growth in the cloud computing in industrial iot ai market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the cloud computing in industrial iot ai market.
• Industry Challenges: Identify potential risks and obstacles affecting the cloud computing in industrial iot ai market.
• Competitive Landscape: Review strategic developments in the cloud computing in industrial iot ai market, including expansions, agreements, and new product launches.
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