The Chip-to-Cloud Market Size is predicted to exhibit a 9.3% CAGR during the forecast period for 2024-2031.
Chip-to-cloud connection is one in which hardware chips are seamlessly integrated with cloud computing platforms. This allows for real-time communication between devices and cloud-based systems, efficient data processing and storage, and overall increased performance. The market for chip-to-cloud is being driven by growing demand for safe IoT solutions, rising acceptance of connected devices, developments in 5G and edge computing, and the necessity of real-time data processing all help to drive the chip-to-cloud market.
Healthcare, automotive, and smart cities, among other sectors, depend on these technologies to offer scalable, safe, and effective chip-to-cloud integration. Furthermore, the chip-to-cloud market could see growth in the next years due to businesses in the chip-to-cloud industry working together to facilitate safe, comprehensive Internet of Things solutions by combining on-premises hardware with services offered by the cloud to handle data processing, analytics, and security. This helps various sectors with managing and connecting smart devices are all drivers of the chip-to-cloud market.
However, the high cloud infrastructure cost of chip-to-cloud, the need for qualified personnel, and the strict regulations have hindered the market growth. Additionally, a number of factors are creating opportunities in the chip-to-cloud market. These include the expansion of the Internet of Things, the necessity for faster and more secure data processing, the improvement of edge computing, the widespread use of the cloud, and the proliferation of real-time data processing. The increasing investment in cloud technology and efficient chip utilization also presents an opportunity for the chip-to-cloud market.
The chip-to-cloud market is categorized by type, component, deployment mode, and application. The market is divided into hardware, software, and services based on type. The market is categorized by components, including sensors, microcontrollers, processors, gateways, and cloud platforms. The market is categorized by deployment mode into on-premises and cloud-based options. The market is categorized by application into industrial automation, automotive, healthcare, consumer electronics, retail, energy and utilities, transportation and logistics, and others.
Hardware is expected to hold a major global market share in 2023 in the chip-to-cloud market because there is an increasing demand for high-powered, energy-efficient gadgets that can handle massive data sets before sending them to the cloud. Additionally, hardware components in the chip-to-cloud ecosystem are in high demand due to the increasing use of edge computing, IoT devices, and AI applications. These technologies necessitate strong hardware demand in the cloud-to-chip market to ensure smooth data handling.
The automotive segment is growing in the cloud-to-chip market due to the growing availability of cutting-edge tools for processing data in real-time, interconnected automobiles, and autonomous driving. Additionally, vehicle performance, safety, and in-car entertainment systems are all being enhanced by automotive manufacturers through the use of cloud and chip technologies. Moreover, platforms in the cloud and high-performance processors are in high demand in the automotive industry because of the spread of electric cars and smart transportation infrastructure. This is driving significant growth in the chip-to-cloud market.
In The Region, The North American Chip-To-Cloud Market Holds A Significant Revenue Share
The North American chip-to-cloud market is expected to report the very large market share in the near future. This can be attributed to because of its advanced technology infrastructure, high cloud adoption, and growing need across all industries for safe, effective data processing options. Additionally, the market is enlarging because of the rising demand from large organizations for cost efficiency. In addition, the Europe is expected to grow rapidly in the chip-to-cloud market due to the skyrocketing need for sophisticated data processing solutions and widespread demand for cloud computing. Regional markets are also growing due to rising investments in IT infrastructure and the popularity of cloud services, and technological improvements are driving this market.
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Report Attribute |
Specifications |
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Growth Rate CAGR |
CAGR of 9.3% from 2024 to 2031 |
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Quantitative Units |
Representation of revenue in US$ Mn and CAGR from 2024 to 2031 |
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Historic Year |
2019 to 2023 |
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Forecast Year |
2024-2031 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Type, Component, Deployment Mode, And Application |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
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Competitive Landscape |
Intel Corporation, Texas Instruments, STMicroelectronics, NXP Semiconductors, Qualcomm Technologies, Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, Oracle Cloud, Cisco Systems, Dell Technologies, Hewlett Packard Enterprise (HPE), Nokia Networks, and VMware. |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Chip-to-Cloud Market Snapshot
Chapter 4. Global Chip-to-Cloud Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2031
4.8. Global Chip-to-Cloud Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2031
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.10. Use/impact of AI on Chip-to-Cloud Industry Trends
Chapter 5. Chip-to-Cloud Market Segmentation 1: By Application, Estimates & Trend Analysis
5.1. Market Share by Application, 2023 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Application:
5.2.1. Industrial Automation
5.2.2. Automotive
5.2.3. Healthcare
5.2.4. Consumer Electronics
5.2.5. Retail
5.2.6. Energy & Utilities
5.2.7. Transportation & Logistics
5.2.8. Others
Chapter 6. Chip-to-Cloud Market Segmentation 2: By Type, Estimates & Trend Analysis
6.1. Market Share by Type, 2023 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Types:
6.2.1. Hardware
6.2.2. Software
6.2.3. Services
Chapter 7. Chip-to-Cloud Market Segmentation 3: By Component, Estimates & Trend Analysis
7.1. Market Share by Component, 2023 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Components:
7.2.1. Sensors
7.2.2. Microcontrollers
7.2.3. Processors
7.2.4. Gateways
7.2.5. Cloud Platforms
Chapter 8. Chip-to-Cloud Market Segmentation 4: By Deployment Mode, Estimates & Trend Analysis
8.1. Market Share by Deployment Mode, 2023 & 2031
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Deployment Modes:
8.2.1. On-Premises
8.2.2. Cloud-Based
Chapter 9. Chip-to-Cloud Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. Global Chip-to-Cloud Market, Regional Snapshot 2023 & 2031
9.2. North America
9.2.1. North America Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
9.2.1.1. US
9.2.1.2. Canada
9.2.2. North America Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.2.3. North America Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.2.4. North America Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Component, 2024-2031
9.2.5. North America Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2024-2031
9.3. Europe
9.3.1. Europe Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Rest of Europe
9.3.2. Europe Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.3.3. Europe Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.3.4. Europe Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Component, 2024-2031
9.3.5. Europe Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2024-2031
9.4. Asia Pacific
9.4.1. Asia Pacific Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
9.4.1.1. India
9.4.1.2. China
9.4.1.3. Japan
9.4.1.4. Australia
9.4.1.5. South Korea
9.4.1.6. Hong Kong
9.4.1.7. Southeast Asia
9.4.1.8. Rest of Asia Pacific
9.4.2. Asia Pacific Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.4.3. Asia Pacific Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.4.4. Asia Pacific Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts By Component, 2024-2031
9.4.5. Asia Pacific Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2024-2031
9.5. Latin America
9.5.1. Latin America Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
9.5.1.1. Brazil
9.5.1.2. Mexico
9.5.1.3. Rest of Latin America
9.5.2. Latin America Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.5.3. Latin America Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.5.4. Latin America Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Component, 2024-2031
9.5.5. Latin America Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2024-2031
9.6. Middle East & Africa
9.6.1. Middle East & Africa Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031
9.6.1.1. GCC Countries
9.6.1.2. Israel
9.6.1.3. South Africa
9.6.1.4. Rest of Middle East and Africa
9.6.2. Middle East & Africa Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.6.3. Middle East & Africa Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.6.4. Middle East & Africa Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Component, 2024-2031
9.6.5. Middle East & Africa Chip-to-Cloud Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2024-2031
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Intel Corporation
10.2.1.1. Business Overview
10.2.1.2. Key Product/Service Offerings
10.2.1.3. Financial PerApplicationance
10.2.1.4. Geographical Presence
10.2.1.5. Recent Developments with Business Strategy
10.2.2. Texas Instruments
10.2.3. STMicroelectronics
10.2.4. NXP Semiconductors
10.2.5. Qualcomm Technologies
10.2.6. Amazon Web Services (AWS)
10.2.7. Microsoft Azure
10.2.8. Google Cloud Platform (GCP)
10.2.9. IBM Cloud
10.2.10. Oracle Cloud
10.2.11. Cisco Systems
10.2.12. Dell Technologies
10.2.13. Hewlett Packard Enterprise (HPE)
10.2.14. Nokia Networks
10.2.15. VMware
10.2.16. Other Market Players
Chip-to-Cloud Market By Type-
Chip-to-Cloud Market By Component-
Chip-to-Cloud Market By Deployment Mode-
Chip-to-Cloud Market By Application-
Chip-to-Cloud Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
