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AI SoC Market

AI SoC Market - Industry Size & Growth Analysis 2019-2030

Global AI SoC is segmented by Application (CPU-Based SoCs, GPU-Based SoCs, ASICs, FPGAs, Neural Processing Units (NPUs)), Type (Edge Computing, Autonomous Vehicles, IoT Devices, Data Centers, Consumer Electronics) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

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Key Values Provided by a AI SoC Market

The AI SoC is growing at a 19.60% during the forecasted period of 2019 to 2030.

AI SoC Market Size in (USD Billion) CAGR Growth Rate 19.60%

Study Period 2019-2030
Market Size (2023): 12.4Billion
Market Size (2030): 43.8Billion
CAGR (2023 - 2030): 19.60%
Fastest Growing Region North America
Dominating Region Asia-Pacific
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Challenges

Opportunities


Regional Insight

The AI SoC varies widely by region, reflecting diverse economic conditions and consumer preferences. In North America, the focus is on convenience and premium products, driven by high disposable incomes and a strong e-commerce sector. Europe’s market is fragmented, with Western countries emphasizing luxury and organic goods, while Eastern Europe sees rapid growth.
Asia-Pacific is a fast-growing region with high demand for both high-tech and affordable products, driven by urbanization and rising middle-class incomes. Latin America prioritizes affordability amidst economic fluctuations, with Brazil and Mexico leading in market growth. In the Middle East and Africa, market trends are influenced by cultural preferences, with luxury goods prominent in the Gulf States and gradual growth in sub-Saharan Africa. Global trends like sustainability and digital transformation are impacting all regions.
The Asia-Pacific Dominant Region currently dominates the market share, fueled by increasing consumption, population growth, and sustained economic progress, which collectively enhance market demand. Conversely, the North America is the fastest-growing Region is rapidly becoming the fastest-growing region, driven by significant infrastructure investments, industrial expansion, and rising consumer demand.


Competitive Insights

The key players in the AI SoC are intensifying their focus on research and development (R&D) activities to innovate and stay competitive. Major companies, such as NVIDIA, Intel, AMD, Xilinx, Qualcomm, Huawei, MediaTek, Apple, Samsung, Google, Baidu, Microsoft, Broadcom, Arm Holdings are heavily investing in R&D to develop new products and improve existing ones. This strategic emphasis on innovation drives significant advancements in product formulation and the introduction of sustainable and eco-friendly products.
Moreover, these established industry leaders are actively pursuing acquisitions of smaller companies to expand their regional presence and enhance their market share. These acquisitions not only help in diversifying their product portfolios but also provide access to new technologies and markets. This consolidation trend is a critical factor in the growth of the consumer goods industry, as it enables larger companies to streamline operations, reduce costs, and increase their competitive edge.
In addition to R&D and acquisitions, there is a notable shift towards green investments among key players in the consumer goods industry. Companies are increasingly committing resources to sustainable practices and developing environmentally friendly products. This green investment responds to growing consumer demand for sustainable solutions and stringent environmental regulations. By prioritizing sustainability, these companies are not only contributing to environmental protection but also positioning themselves as leaders in the green movement, thereby fueling market growth.
The companies highlighted in this profile were selected based on insights from primary experts and an evaluation of their market penetration, product offerings, and geographical reach:
  • NVIDIA
  • Intel
  • AMD
  • Xilinx
  • Qualcomm
  • Huawei
  • MediaTek
  • Apple
  • Samsung
  • Google
  • Baidu
  • Microsoft
  • Broadcom
  • Arm Holdings

AI SoC Market Segmentation by Players

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Key Highlights

Segmentation by Type
  • Based on Type, the market is bifurcated into
    • Edge Computing
    • Autonomous Vehicles
    • IoT Devices
    • Data Centers

    AI SoC Market Segmentation by Type

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    Segmentation by Application
  • Based on Application, the market is segmented into
    • CPU-Based SoCs
    • GPU-Based SoCs
    • ASICs
    • FPGAs
    • Neural Processing Units (NPUs)

    AI SoC Market Segmentation by Application

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  • Global Import Export in terms of K Tons, K Units, and Metric Tons will be provided if Applicable based on industry best practice

{Side_Tag Regional Analysis}

The Top-Down and Bottom-Up Approaches

 
The top-down approach begins with a broad theory or hypothesis and breaks it down into specific components for testing. This structured, deductive process involves developing a theory, creating hypotheses, collecting and analyzing data, and drawing conclusions. It is particularly useful when there is substantial theoretical knowledge, but it can be rigid and may overlook new phenomena. 
Conversely, the bottom-up approach starts with specific data or observations, from which broader generalizations and theories are developed. This inductive process involves collecting detailed data, analyzing it for patterns, developing hypotheses, formulating theories, and validating them with additional data. While this approach is flexible and encourages the discovery of new phenomena, it can be time-consuming and less structured. 

Swot and Pestal Analysis

SWOT Analysis
SWOT Analysis evaluates a company’s internal Strengths and Weaknesses, as well as external Opportunities and Threats. This analysis helps businesses identify their competitive advantages, address internal challenges, and seize external opportunities while mitigating potential risks. It is performed to gain a comprehensive understanding of the organization's position in the market, align strategies with its strengths, and effectively navigate competitive landscapes.
PESTEL Analysis 
Political, Economic, Social, Technological, Environmental, and Legal factors impacting the business environment. This analysis helps organizations anticipate external changes, adapt strategies to macroeconomic trends, and ensure compliance with regulatory requirements. It is crucial for understanding the external forces that could influence business operations and for planning long-term strategies that align with evolving market conditions.

Report Infographics:
Report Features Details
Base Year 2023
Based Year Market Size 2023 12.4Billion
Historical Period 2019
CAGR (2023 to 2030) 19.60%
Forecast Period 2030
Forecasted Period Market Size (2030) 43.8Billion
Scope of the Report Edge Computing, Autonomous Vehicles, IoT Devices, Data Centers
CPU-Based SoCs, GPU-Based SoCs, ASICs, FPGAs, Neural Processing Units (NPUs)
Regions Covered
Companies Covered NVIDIA, Intel, AMD, Xilinx, Qualcomm, Huawei, MediaTek, Apple, Samsung, Google, Baidu, Microsoft, Broadcom, Arm Holdings
Customization Scope 15% Free Customization (For EG)
Delivery Format PDF and Excel through Email


AI SoC - Table of Contents

Chapter 1: Market Preface
  • 1.1 AI SoC Market Landscape
  • 1.2 Scope of the Study
  • 1.3 Relevant Findings & Stakeholder Advantages

Chapter 2: Strategic Overview
  • 2.1 AI SoC Market Outlook
  • 2.2 Total Addressable Market versus Serviceable Market
  • 2.3 Market Rivalry Projection

Chapter 3 : AI SoC Market Business Environment & Changing Dynamics
  • 3.1 Growth Drivers
  • 3.2 Available Opportunities
  • 3.3 Influencing Trends
  • 3.4 Challenges

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Chapter 4 : AI SoC Industry Factors Assessment
  • 4.1 Current Scenario
  • 4.2 PEST Analysis
  • 4.3 Business Environment - PORTER 5-Forces Analysis
    • 4.3.1 Supplier Leverage
    • 4.3.2 Bargaining Power of Buyers
    • 4.3.3 Threat of Substitutes
    • 4.3.4 Threat from New Entrant
    • 4.3.5 Market Competition Level
  • 4.4 Roadmap of AI SoC Market
  • 4.5 Impact of Macro-Economic Factors
  • 4.6 Market Entry Strategies
  • 4.7 Political and Regulatory Landscape
  • 4.8 Supply Chain Analysis
  • 4.9 Impact of Tariff War


Chapter 5: AI SoC : Competition Benchmarking & Performance Evaluation
  • 5.1 AI SoC Market Concentration Ratio
    • 5.1.1 CR4, CR8 and HH Index
    • 5.1.2 % Market Share - Top 3
    • 5.1.3 Market Holding by Top 5
  • 5.2 Market Position of Manufacturers by AI SoC Revenue 2023
  • 5.3 AI SoC Sales Volume by Manufacturers (2023)
  • 5.4 BCG Matrix
  • 5.4 Market Entropy
  • 5.5 Strategic Group Analysis
  • 5.6 5C’s Analysis
Chapter 6: AI SoC Market: Company Profiles
  • 6.1 NVIDIA
    • 6.1.1 NVIDIA Company Overview
    • 6.1.2 NVIDIA Product/Service Portfolio & Specifications
    • 6.1.3 NVIDIA Key Financial Metrics
    • 6.1.4 NVIDIA SWOT Analysis
    • 6.1.5 NVIDIA Development Activities
  • 6.2 Intel
  • 6.3 AMD
  • 6.4 Xilinx
  • 6.5 Qualcomm
  • 6.6 Huawei
  • 6.7 MediaTek
  • 6.8 Apple
  • 6.9 Samsung
  • 6.10 Google
  • 6.11 Baidu
  • 6.12 Microsoft
  • 6.13 Broadcom
  • 6.14 Arm Holdings
  • 6.15 Fujitsu

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Chapter 7 : AI SoC by Type & Application (2019-2030)
  • 7.1 AI SoC Market Revenue Analysis (USD Million) by Type (2019-2023)
    • 7.1.1 Edge Computing
    • 7.1.2 Autonomous Vehicles
    • 7.1.3 IoT Devices
    • 7.1.4 Data Centers
    • 7.1.5 Consumer Electronics
  • 7.2 AI SoC Market Revenue Analysis (USD Million) by Application (2019-2023)
    • 7.2.1 CPU-Based SoCs
    • 7.2.2 GPU-Based SoCs
    • 7.2.3 ASICs
    • 7.2.4 FPGAs
    • 7.2.5 Neural Processing Units (NPUs)
  • 7.3 AI SoC Market Revenue Analysis (USD Million) by Type (2023-2030)
  • 7.4 AI SoC Market Revenue Analysis (USD Million) by Application (2023-2030)


Chapter 8: Research Findings & Conclusion
  • 8.1 Key Findings
  • 8.2 Conclusion

Chapter 9: Methodology and Data Source
  • 9.1 Research Methodology & Approach
    • 9.1.1 Research Program/Design
    • 9.1.2 Market Size Estimation
    • 9.1.3 Market Breakdown and Data Triangulation
  • 9.2 Data Source
    • 9.2.1 Secondary Sources
    • 9.2.2 Primary Sources

Chapter 10: Appendix & Disclaimer
  • 10.1 Acronyms & bibliography
  • 10.2 Disclaimer

Frequently Asked Questions (FAQ):

The AI SoC market is expected to see value worth 12.4 billion in 2023.

The AI SoC Market is predicted to grow at a CAGR of 19.60%.

NVIDIA, Intel, AMD, Xilinx, Qualcomm, Huawei, MediaTek, Apple, Samsung, Google, Baidu, Microsoft, Broadcom, Arm Holdings, Fujitsu are the major operating companies profiled in AI SoC market study.

Research paper of AI SoC Market shows that companies are making better progress than their supply chain peers –including suppliers, majorly in end-use applications such as CPU-Based SoCs, GPU-Based SoCs, ASICs, FPGAs, Neural Processing Units (NPUs).

The AI SoC Market Study is segmented by Edge Computing, Autonomous Vehicles, IoT Devices, Data Centers, Consumer Electronics.

The AI SoC Market Study includes regional breakdown as

The AI SoC Market is studied from 2019 - 2030.
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