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The global IoT Processor market size is predicted to exceed a valuation of US$ 48,100 million in 2023. The technology is anticipated to create revenue streams, increase business efficiencies, enable new business models, and improve how existing services are delivered across various industries to drive the IoT processor market.
The overall sales of IoT processors are projected to increase at a robust CAGR of 7.5% between 2023 and 2033, totaling around US$ 99,441.1 million by the end of 2033.
Attribute | Details |
---|---|
IoT Processor Market Size (2023) | US$ 48,100 million |
IoT Processor Market Revenue Forecast (2033) | US$ 99,441.1 million |
IoT Processor Market Growth Rate (2023 to 2033) | 7.5% CAGR |
North America Market Share | 40.1% |
The Internet of Things (IoT) is powering every aspect of human life in this digital world. Every day, massive amounts of data are obtained by these connected devices. For these connected devices to operate effectively, they must transfer data and information in real-time to overcome human issues.
IoT also refers to more data, more sensors, faster responses, end-to-end communication, and smarter user interfaces. These characteristics, such as a high-performance sensor, more silicon area, more power, and more heat, come at a cost. While general-purpose processors are ideal for running applications on embedded systems, they are not proficient in dedicated tasks like those required for IoT applications. A low-power processor that can host various applications from multiple connected devices in real-time is known as an IoT processor.
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As more devices become associated daily, carrier suppliers are finding it challenging to collect, process, and dispatch data from one device to another due to general-purpose sensor conformance limitations. This leads to a distinct necessity for IoT processors. For example, IoT processors in wearable devices control sense, process, store, and interpret data while ingesting very little power.
This would not have been possible if wearable device distributors such as Apple Inc. and Xiaomi used general-purpose processors in their equipment. Furthermore, technological developments in cognitive and affective computing are accelerating the expansion of the IoT Processor market.
Despite the substantial opportunities offered by the IoT market for processor industry players, some processor manufacturers have been hesitant to make significant investments in this sector.
The primary issue is that IoT products tend to appeal to a niche market and generate remarkably low sales volume. However, more semiconductor companies will make investments in the IoT processor market in the coming years.
North America is anticipated to be the world's leading market for IoT processors. The vast bulk of IoT processor vendors, such as Intel and Texas Instruments, are headquartered in America and investing in the local market's IoT ecosystem. For example, BMW Group, Intel, and Mobileye collaborated on autonomous driving. North America is predicted to occupy a 40.1% market share of the global IoT processor market in 2023.
Furthermore, due to the proliferation of cloud platforms and rising R&D investments, the Internet of Things processors market is witnessing widespread adoption in the region. According to GSMA intelligence's October 2021 report in North America, the overall number of IoT connections is expected to reach 5.1 billion by 2025. In 2020, the total number of connected devices in the province was 2.9 billion.
Nations such as China and Taiwan have a massive pool of semiconductor manufacturers. With this, the Asia-Pacific region is predicted to have a moderate growth rate for the IoT Processor market. Additionally, due to the increasing projects for smart cities and rising approaches, such as Smart Wellington (New Zealand), Intelligent Disease Prediction Project (China), and cloud spending in the region, Asia Pacific is expected to exhibit the highest CAGR during the forecast years.
Europe is expected to surpass North America in terms of market share. The region is becoming inherently tied to large databases because healthcare is expected to compensate for a sizable market share in Europe. Diagnostic analytics, descriptive analytics, prescriptive modeling, and actionable insights can all be provided by IoT technology in combination with big data analytics.
In Europe, network adapters combined with big data are expected to gain traction. Furthermore, due to the region's growing demand for IIoT technology, Germany, the United Kingdom, France, Italy, Spain, and the Netherlands are driving the region's adoption of this market. Similarly, sophisticated technology is being adopted at a rapid pace in Eastern Europe and Nordic countries. Europe is poised to account for a market share of 23.6% of the global IoT processor market in 2023.
The 8-bit IoT Processor has a lot so much architectural variation. It is a widely used, well-understood 8-bit architecture that remains prevalent among embedded developers. As a result, the 8-bit IoT Processor segment is expected to grow significantly.
The 32-bit IoT processors are anticipated to gain promising growth during the forecast period. 32-bit processors mix performance and power economy, making them suitable for various IoT applications. Compared to lower-bit processors, these processors are able to handle more complicated jobs, multitask, and execute more sophisticated software. Additionally, they are capable of handling bigger data amounts, communication protocols, and security features effectively.
With connectivity and smart devices becoming mainstream in automobiles, automakers are upgrading their offerings with a suite of technologies such as the Internet of Things (IoT). According to BI Intelligence, connected cars likely developed US$ 8.1 trillion between 2015 and 2020. According to these figures, IoT and related digitalization advancements will induce a fundamental transformation in the world of mobility. As a result, the automotive segment is expected to expand faster.
Vehicles are becoming sophisticated platforms that are connected through the incorporation of IoT processors into automotive applications. The demand for IoT processors in the automotive industry is continuing to rise as customers want more intelligent, safe, and convenient driving experiences.
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Key Players in the Start-Up Ecosystem to Open Frontiers for Future Growth
Manufacturers are adopting various marketing strategies such as new product launches, geographical expansion, mergers and acquisitions, partnerships, and collaboration to identify the interest of potential buyers and create a larger customer base. For instance,
Leading Players and Their Contributions to the IoT Processor Market
Some of the leading IoT processor manufacturers include Intel Corporation, QUALCOMM, Samsung, Lenovo, and ARM. These key IoT Processor providers are adopting various strategies, such as new product launches and approvals, partnerships, collaborations, acquisitions, mergers, etc., to increase their sales and gain a competitive edge in the global IoT Processor market. For instance,
Attribute | Details |
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Market Size Value in 2023 | US$ 48,100 million |
Market Forecast Value in 2033 | US$ 99,441.1 million |
Global Growth Rate | 7.5% CAGR |
Forecast Period | 2023 to 2033 |
Historical Data Available for | 2018 to 2022 |
Market Analysis | US$ million for Value |
Key Regions Covered |
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Key Countries Covered |
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Key Market Segments Covered |
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Key Companies Profiled |
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Pricing | Available upon Request |
The market is valued at US$ 48.1 billion in 2023.
Texas Instruments, Intel, and Qualcomm are the top market players.
The market is expected to reach US$ 99.4 billion by 2033.
Integration of Artificial Intelligence is likely to drive the market prospects.
North America is likely to generate a share of 40.1% in 2023.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Product Life Cycle Analysis 3.5. Supply Chain Analysis 3.5.1. Supply Side Participants and their Roles 3.5.1.1. Producers 3.5.1.2. Mid-Level Participants (Traders/ Agents/ Brokers) 3.5.1.3. Wholesalers and Distributors 3.5.2. Value Added and Value Created at Node in the Supply Chain 3.5.3. List of Raw Material Suppliers 3.5.4. List of Existing and Potential Buyer’s 3.6. Investment Feasibility Matrix 3.7. Value Chain Analysis 3.7.1. Profit Margin Analysis 3.7.2. Wholesalers and Distributors 3.7.3. Retailers 3.8. PESTLE and Porter’s Analysis 3.9. Regulatory Landscape 3.9.1. By Key Regions 3.9.2. By Key Countries 3.10. Regional Parent Market Outlook 3.11. Production and Consumption Statistics 3.12. Import and Export Statistics 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) & Volume (Unit) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) & Volume (Unit) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) & Volume (Unit) Analysis By Type, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) & Volume (Unit) Analysis and Forecast By Type, 2023 to 2033 5.3.1. 8 bit 5.3.2. 16 bit 5.3.3. 32 bit 5.4. Y-o-Y Growth Trend Analysis By Type, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Type, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) & Volume (Unit) Analysis By Application, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) & Volume (Unit) Analysis and Forecast By Application, 2023 to 2033 6.3.1. Automotive 6.3.2. Manufacturing 6.3.3. Energy and Utility 6.3.4. Retail 6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 7.1. Introduction 7.2. Historical Market Size Value (US$ Million) & Volume (Unit) Analysis By Region, 2018 to 2022 7.3. Current Market Size Value (US$ Million) & Volume (Unit) Analysis and Forecast By Region, 2023 to 2033 7.3.1. North America 7.3.2. Latin America 7.3.3. Western Europe 7.3.4. Eastern Europe 7.3.5. South Asia and Pacific 7.3.6. East Asia 7.3.7. Middle East and Africa 7.4. Market Attractiveness Analysis By Region 8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 8.1. Historical Market Size Value (US$ Million) & Volume (Unit) Trend Analysis By Market Taxonomy, 2018 to 2022 8.2. Market Size Value (US$ Million) & Volume (Unit) Forecast By Market Taxonomy, 2023 to 2033 8.2.1. By Country 8.2.1.1. The USA 8.2.1.2. Canada 8.2.2. By Type 8.2.3. By Application 8.3. Market Attractiveness Analysis 8.3.1. By Country 8.3.2. By Type 8.3.3. By Application 8.4. Key Takeaways 9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) & Volume (Unit) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ Million) & Volume (Unit) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. Brazil 9.2.1.2. Mexico 9.2.1.3. Rest of Latin America 9.2.2. By Type 9.2.3. By Application 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Type 9.3.3. By Application 9.4. Key Takeaways 10. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) & Volume (Unit) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) & Volume (Unit) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Germany 10.2.1.2. United Kingdom 10.2.1.3. France 10.2.1.4. Spain 10.2.1.5. Italy 10.2.1.6. Rest of Western Europe 10.2.2. By Type 10.2.3. By Application 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Type 10.3.3. By Application 10.4. Key Takeaways 11. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) & Volume (Unit) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) & Volume (Unit) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Poland 11.2.1.2. Russia 11.2.1.3. Czech Republic 11.2.1.4. Romania 11.2.1.5. Rest of Eastern Europe 11.2.2. By Type 11.2.3. By Application 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Type 11.3.3. By Application 11.4. Key Takeaways 12. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) & Volume (Unit) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) & Volume (Unit) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. India 12.2.1.2. Bangladesh 12.2.1.3. Australia 12.2.1.4. New Zealand 12.2.1.5. Rest of South Asia and Pacific 12.2.2. By Type 12.2.3. By Application 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Type 12.3.3. By Application 12.4. Key Takeaways 13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) & Volume (Unit) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) & Volume (Unit) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. China 13.2.1.2. Japan 13.2.1.3. South Korea 13.2.2. By Type 13.2.3. By Application 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Type 13.3.3. By Application 13.4. Key Takeaways 14. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) & Volume (Unit) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) & Volume (Unit) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. GCC Countries 14.2.1.2. South Africa 14.2.1.3. Israel 14.2.1.4. Rest of MEA 14.2.2. By Type 14.2.3. By Application 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Type 14.3.3. By Application 14.4. Key Takeaways 15. Key Countries Market Analysis 15.1. USA 15.1.1. Pricing Analysis 15.1.2. Market Share Analysis, 2022 15.1.2.1. By Type 15.1.2.2. By Application 15.2. Canada 15.2.1. Pricing Analysis 15.2.2. Market Share Analysis, 2022 15.2.2.1. By Type 15.2.2.2. By Application 15.3. Brazil 15.3.1. Pricing Analysis 15.3.2. Market Share Analysis, 2022 15.3.2.1. By Type 15.3.2.2. By Application 15.4. Mexico 15.4.1. Pricing Analysis 15.4.2. Market Share Analysis, 2022 15.4.2.1. By Type 15.4.2.2. By Application 15.5. Germany 15.5.1. Pricing Analysis 15.5.2. Market Share Analysis, 2022 15.5.2.1. By Type 15.5.2.2. By Application 15.6. United Kingdom 15.6.1. Pricing Analysis 15.6.2. Market Share Analysis, 2022 15.6.2.1. By Type 15.6.2.2. By Application 15.7. France 15.7.1. Pricing Analysis 15.7.2. Market Share Analysis, 2022 15.7.2.1. By Type 15.7.2.2. By Application 15.8. Spain 15.8.1. Pricing Analysis 15.8.2. Market Share Analysis, 2022 15.8.2.1. By Type 15.8.2.2. By Application 15.9. Italy 15.9.1. Pricing Analysis 15.9.2. Market Share Analysis, 2022 15.9.2.1. By Type 15.9.2.2. By Application 15.10. Poland 15.10.1. Pricing Analysis 15.10.2. Market Share Analysis, 2022 15.10.2.1. By Type 15.10.2.2. By Application 15.11. Russia 15.11.1. Pricing Analysis 15.11.2. Market Share Analysis, 2022 15.11.2.1. By Type 15.11.2.2. By Application 15.12. Czech Republic 15.12.1. Pricing Analysis 15.12.2. Market Share Analysis, 2022 15.12.2.1. By Type 15.12.2.2. By Application 15.13. Romania 15.13.1. Pricing Analysis 15.13.2. Market Share Analysis, 2022 15.13.2.1. By Type 15.13.2.2. By Application 15.14. India 15.14.1. Pricing Analysis 15.14.2. Market Share Analysis, 2022 15.14.2.1. By Type 15.14.2.2. By Application 15.15. Bangladesh 15.15.1. Pricing Analysis 15.15.2. Market Share Analysis, 2022 15.15.2.1. By Type 15.15.2.2. By Application 15.16. Australia 15.16.1. Pricing Analysis 15.16.2. Market Share Analysis, 2022 15.16.2.1. By Type 15.16.2.2. By Application 15.17. New Zealand 15.17.1. Pricing Analysis 15.17.2. Market Share Analysis, 2022 15.17.2.1. By Type 15.17.2.2. By Application 15.18. China 15.18.1. Pricing Analysis 15.18.2. Market Share Analysis, 2022 15.18.2.1. By Type 15.18.2.2. By Application 15.19. Japan 15.19.1. Pricing Analysis 15.19.2. Market Share Analysis, 2022 15.19.2.1. By Type 15.19.2.2. By Application 15.20. South Korea 15.20.1. Pricing Analysis 15.20.2. Market Share Analysis, 2022 15.20.2.1. By Type 15.20.2.2. By Application 15.21. GCC Countries 15.21.1. Pricing Analysis 15.21.2. Market Share Analysis, 2022 15.21.2.1. By Type 15.21.2.2. By Application 15.22. South Africa 15.22.1. Pricing Analysis 15.22.2. Market Share Analysis, 2022 15.22.2.1. By Type 15.22.2.2. By Application 15.23. Israel 15.23.1. Pricing Analysis 15.23.2. Market Share Analysis, 2022 15.23.2.1. By Type 15.23.2.2. By Application 16. Market Structure Analysis 16.1. Competition Dashboard 16.2. Competition Benchmarking 16.3. Market Share Analysis of Top Players 16.3.1. By Regional 16.3.2. By Type 16.3.3. By Application 17. Competition Analysis 17.1. Competition Deep Dive 17.1.1. Texas Instruments 17.1.1.1. Overview 17.1.1.2. Product Portfolio 17.1.1.3. Profitability by Market Segments 17.1.1.4. Sales Footprint 17.1.1.5. Strategy Overview 17.1.1.5.1. Marketing Strategy 17.1.1.5.2. Product Strategy 17.1.1.5.3. Channel Strategy 17.1.2. Intel 17.1.2.1. Overview 17.1.2.2. Product Portfolio 17.1.2.3. Profitability by Market Segments 17.1.2.4. Sales Footprint 17.1.2.5. Strategy Overview 17.1.2.5.1. Marketing Strategy 17.1.2.5.2. Product Strategy 17.1.2.5.3. Channel Strategy 17.1.3. Qualcomm 17.1.3.1. Overview 17.1.3.2. Product Portfolio 17.1.3.3. Profitability by Market Segments 17.1.3.4. Sales Footprint 17.1.3.5. Strategy Overview 17.1.3.5.1. Marketing Strategy 17.1.3.5.2. Product Strategy 17.1.3.5.3. Channel Strategy 17.1.4. ARM 17.1.4.1. Overview 17.1.4.2. Product Portfolio 17.1.4.3. Profitability by Market Segments 17.1.4.4. Sales Footprint 17.1.4.5. Strategy Overview 17.1.4.5.1. Marketing Strategy 17.1.4.5.2. Product Strategy 17.1.4.5.3. Channel Strategy 17.1.5. Atmel 17.1.5.1. Overview 17.1.5.2. Product Portfolio 17.1.5.3. Profitability by Market Segments 17.1.5.4. Sales Footprint 17.1.5.5. Strategy Overview 17.1.5.5.1. Marketing Strategy 17.1.5.5.2. Product Strategy 17.1.5.5.3. Channel Strategy 17.1.6. Freescale 17.1.6.1. Overview 17.1.6.2. Product Portfolio 17.1.6.3. Profitability by Market Segments 17.1.6.4. Sales Footprint 17.1.6.5. Strategy Overview 17.1.6.5.1. Marketing Strategy 17.1.6.5.2. Product Strategy 17.1.6.5.3. Channel Strategy 17.1.7. Amulet Technologies 17.1.7.1. Overview 17.1.7.2. Product Portfolio 17.1.7.3. Profitability by Market Segments 17.1.7.4. Sales Footprint 17.1.7.5. Strategy Overview 17.1.7.5.1. Marketing Strategy 17.1.7.5.2. Product Strategy 17.1.7.5.3. Channel Strategy 17.1.8. Broadcom Inc. 17.1.8.1. Overview 17.1.8.2. Product Portfolio 17.1.8.3. Profitability by Market Segments 17.1.8.4. Sales Footprint 17.1.8.5. Strategy Overview 17.1.8.5.1. Marketing Strategy 17.1.8.5.2. Product Strategy 17.1.8.5.3. Channel Strategy 17.1.9. 4D Systems 17.1.9.1. Overview 17.1.9.2. Product Portfolio 17.1.9.3. Profitability by Market Segments 17.1.9.4. Sales Footprint 17.1.9.5. Strategy Overview 17.1.9.5.1. Marketing Strategy 17.1.9.5.2. Product Strategy 17.1.9.5.3. Channel Strategy 17.1.10. Renesas Electronics 17.1.10.1. Overview 17.1.10.2. Product Portfolio 17.1.10.3. Profitability by Market Segments 17.1.10.4. Sales Footprint 17.1.10.5. Strategy Overview 17.1.10.5.1. Marketing Strategy 17.1.10.5.2. Product Strategy 17.1.10.5.3. Channel Strategy 18. Assumptions & Acronyms Used 19. Research Methodology
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