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Embodied Artificial Intelligence (AI) Market Expansion From $3.79 Billion In 2026 To $7.23 Billion In 2030
The cloud infrastructure service market has seen substantial growth in recent years. Its value is anticipated to rise from $184.57 billion in 2025 to $218.71 billion in 2026, achieving a compound annual growth rate (CAGR) of 18.5%. This historical expansion can be attributed to elements such as the increased integration of virtualization technologies, the growing need for scalable IT infrastructure, a heightened demand for cost-efficient data management, the widening reach of internet penetration, and early initiatives by enterprises to migrate to the cloud.
The cloud infrastructure service market is anticipated to experience significant expansion over the coming years. Its valuation is projected to reach $426.41 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 18.2%. This projected increase is driven by factors such as the rise of AI-driven cloud solutions, the incorporation of iot with cloud infrastructure, the proliferation of hybrid and multi-cloud environments, a rising need for real-time data analytics, and the expansion of cloud infrastructure into emerging markets. Key developments foreseen during this period encompass edge computing, increased multi-cloud adoption, strategies for cloud cost optimization, the adoption of serverless architecture, and enhanced cloud security & compliance measures.
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Embodied Artificial Intelligence (AI) Market Expansion Drivers: What Is Shaping Future Growth?
An increasing need for digital transformation is anticipated to boost the expansion of the cloud infrastructure service market in the future. This growing requirement for digital transformation stems from companies’ imperatives to improve operational effectiveness, elevate customer satisfaction, and maintain competitiveness within a fast-changing technological environment. Cloud infrastructure offerings facilitate digital transformation by supplying adaptable, elastic, and economically viable resources, which in turn foster innovation, streamline data handling, and ensure smooth connectivity across various digital platforms. As an illustration, in November 2023, a report from the Central Digital and Data Office, a UK-based government entity, indicated that the government’s emphasis on digital transformation led to a 9% increase in the Government Digital and Data profession over the past six months, bringing the total count of professionals in this domain to 28,337. Consequently, the increasing need for digital transformation is fueling the expansion of the cloud infrastructure service market.
Embodied Artificial Intelligence (AI) Market Segment Outlook: Which Categories Are Expanding The Fastest?
The embodied artificial intelligence (AI) market covered in this report is segmented –
1) By Component: Hardware, Software, Services
2) By Function: Real-Time, Standalone, Mobile, Networked
3) By System Size: Small Size, Medium Size, Large Size
4) By End-Use Industry: Automotive, Consumer Electronics, Aerospace And Defense, Healthcare, Telecommunication, Industrial, Other End-Use Industries
Subsegments:
1) By Hardware: Microcontrollers (MCUs), Microprocessors (MPUs), Digital Signal Processors (DSPs), Application-Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), Sensors, Power Management ICs
2) By Software: Real-Time Operating Systems (RTOS), Embedded Software Development Tools, Middleware, Firmware
3) By Services: Design And Development Services, Consulting Services, Maintenance And Support Services
Embodied Artificial Intelligence (AI) Market Innovation Trends: Which Developments Are Transforming The Industry?
Leading companies within the cloud infrastructure service market are concentrating on developing advanced software-defined storage platforms. These platforms are designed to ensure smooth integration with various multi-cloud environments and to boost the overall performance of enterprise applications. A software-defined storage (SDS) platform employs software to manage storage resources, thereby improving flexibility, scalability, and automation. For example, in November 2023, DataDirect Networks, Inc., a US-based data storage company, released DDN Infinia. This versatile platform supports object, file, and block storage for diverse applications. It provides a swift 10-minute installation, automated configuration, rolling upgrades, and elastic expansion, ensuring continuous service. With its multi-tenancy architecture and a software-based SLA manager, it effectively handles resource sharing and maintains service quality. Infinia also incorporates an energy-efficient 1U all-QLC flash system, which maximizes storage density while minimizing operational costs.
Embodied Artificial Intelligence (AI) Market Key Companies And Competitive Benchmarking
Major companies operating in the embodied artificial intelligence (AI) market are Samsung Electronics Co. Ltd., DeepMind Technologies, Toshiba Corporation, NVIDIA Corporation, KUKA AG, Ocado Group plc, Unity Technologies Inc., UBTECH Robotics, Boston Dynamics Inc., Applied Intuition Inc., Avidbots Corp., Robotiq, Covariant.AI Inc., Apptronik Systems Inc., Keppler Robotics Inc., Agility Robotics Inc., Hanson Robotics Limited, Blue Frog Robotics SAS, PAL Robotics S.L.
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Embodied Artificial Intelligence (AI) Market Regional Distribution: Which Areas Drive Market Expansion?
North America was the largest region in the embodied artificial intelligence (AI) market in 2025. The regions covered in the embodied artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.