Global AI SoC Market Growth 2026-2032
Description
The global AI SoC market size is predicted to grow from US$ 409 million in 2025 to US$ 1583 million in 2032; it is expected to grow at a CAGR of 21.6% from 2026 to 2032.
This report defines AI SoC chips as follows: Chips that integrate general-purpose processing cores (such as Arm CPUs, RISC-V CPUs, etc.) and dedicated artificial intelligence computing units (such as NPUs, AI GPUs, AI DSPs, etc.) on a single SoC chip, enabling them to perform deep learning and other AI inference computations locally on the terminal device, and providing AI perception, recognition, and decision-making capabilities.
Compared to general-purpose SoCs, AI SoCs are specifically optimized for neural network inference at the chip architecture level, and are typically marketed based on "computing power (TOPS)," "supported AI model types," and "typical application scenarios" (such as autonomous driving, security cameras, smart speakers, wearable devices, edge servers, etc.).
As the core hardware and "brain" of smart devices, AI SoC's core value lies in integrating NPU units and realizing collaborative optimization of algorithms and chips. It provides core computing power for devices, enabling edge AI functions such as speech recognition, image processing, and real-time decision-making. Directly determining the performance boundaries, energy efficiency levels, and interactive experiences of smart devices, AI SoC serves as a key engine driving the iterative evolution of smart devices.
From the perspective of market growth drivers, AI algorithm innovations represented by large models have become the core impetus. The rise of generative AI has accelerated the migration of AI inference models to the edge side, promoting the evolution of models towards lightweight, high-efficiency, and customized solutions. Meanwhile, the explosive demand for real-time inference and privacy protection in low-power scenarios among terminal devices has made AI SoC the core carrier to meet this demand, directly driving the rapid expansion of market scale. Compared with traditional SoCs, AI SoCs have advantages in balancing the operational efficiency of complex algorithms and power consumption, making them an indispensable component for the intelligent upgrading of smart devices.
In downstream application fields, AI SoC presents the characteristics of multi-scenario penetration and differentiated development:
1. In the smart home scenario, device forms continue to enrich—expanding from traditional categories such as smart TVs, set-top boxes, and IP cameras to home service robots (sweeping, lawn-mowing, companion robots, etc.) and smart home appliances. Technologies such as 5G and Wi-Fi 7 have laid a solid foundation for connectivity, while AI empowers devices with automatic collaboration and personalized experiences.
2. In the commercial and education sector, enterprise digital transformation and industry-wide intelligent demands have spawned diverse applications. Smart conference systems, payment devices, fitness equipment, advertising terminals, and other devices all require AI SoC to provide computing power support. Scenario-specific customization has become a trend—for example, security-oriented devices focus on image and video analysis capabilities, while conference devices emphasize audio processing and natural language understanding, driving sustained high growth of AI SoC in this field.
3. The automotive sector is an important growth pole for AI SoC. Amid the trends of electrification, connectivity, and intelligence in smart cars, smart cockpits (multi-screen interaction, AR navigation, voice assistants) and advanced driver assistance systems (ADAS) have an urgent demand for AI SoCs with high computing power, low latency, and high integration. The in-depth application of AI technology in scenarios such as power optimization and safety protection has further amplified market demand.
4. In the personal mobile device field, product forms have expanded from smartphones and wearable devices to innovative categories such as XR devices and AI glasses. Edge AI requires devices to possess local data processing and offline working capabilities, prompting AI SoCs to evolve towards higher heterogeneous computing capabilities and better energy efficiency ratios. Among these, AI SoCs related to smart wearable devices have shown particularly prominent growth.
From the perspective of development trends, the AI SoC market is presenting three core directions: first, the in-depth integration of AI and edge computing—local processing of AI tasks on terminal devices has become the norm, forcing chips to seek a better balance between computing power enhancement and power consumption control; second, the parallel development of customization and high integration—manufacturers need to optimize AI accelerators, interfaces, and power management units according to the segmented needs of different application scenarios, providing integrated hardware and software solutions; third, the growing importance of ecological collaboration—linkages between operators, smart device brands, and SoC manufacturers have deepened, and a global marketing, sales, and service network has become a key competitive advantage for manufacturers.
LP Information, Inc. (LPI) ' newest research report, the “AI SoC Industry Forecast” looks at past sales and reviews total world AI SoC sales in 2025, providing a comprehensive analysis by region and market sector of projected AI SoC sales for 2026 through 2032. With AI SoC sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI SoC industry.
This Insight Report provides a comprehensive analysis of the global AI SoC landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI SoC portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI SoC market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI SoC and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI SoC.
This report presents a comprehensive overview, market shares, and growth opportunities of AI SoC market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
Low TOPS
Medium TOPS
High TOPS
Ultra-high TOPS
Segmentation by Application:
Security
Automotive ADAS/Autonomous Driving
Consumer Electronics
General Edge/Industrial Control AI
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
Mobileye
Ambarella
Hisilicon
Rockchip Electronics
Aispeech
SigmaStar Technology Ltd
Eeasy Tech
SENSLAB
Shanghai Fullhan Microelectronics
Ingenic Semiconductor
Shanghai Artosyn
Rebellions Inc
OCE Technology
SEMIFIVE
Atlazo
Anyka Microelectronics
Horizon Robotics
Black Sesame Technologies
Kneron
Shanghai Axera Semiconductor Technology
Allwinner Technology
Texas Instruments
Qualcomm
Renesas Electronics
iCatch Technology
NXP Semiconductors
Nextchip
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI SoC market?
What factors are driving AI SoC market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI SoC market opportunities vary by end market size?
How does AI SoC break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
This report defines AI SoC chips as follows: Chips that integrate general-purpose processing cores (such as Arm CPUs, RISC-V CPUs, etc.) and dedicated artificial intelligence computing units (such as NPUs, AI GPUs, AI DSPs, etc.) on a single SoC chip, enabling them to perform deep learning and other AI inference computations locally on the terminal device, and providing AI perception, recognition, and decision-making capabilities.
Compared to general-purpose SoCs, AI SoCs are specifically optimized for neural network inference at the chip architecture level, and are typically marketed based on "computing power (TOPS)," "supported AI model types," and "typical application scenarios" (such as autonomous driving, security cameras, smart speakers, wearable devices, edge servers, etc.).
As the core hardware and "brain" of smart devices, AI SoC's core value lies in integrating NPU units and realizing collaborative optimization of algorithms and chips. It provides core computing power for devices, enabling edge AI functions such as speech recognition, image processing, and real-time decision-making. Directly determining the performance boundaries, energy efficiency levels, and interactive experiences of smart devices, AI SoC serves as a key engine driving the iterative evolution of smart devices.
From the perspective of market growth drivers, AI algorithm innovations represented by large models have become the core impetus. The rise of generative AI has accelerated the migration of AI inference models to the edge side, promoting the evolution of models towards lightweight, high-efficiency, and customized solutions. Meanwhile, the explosive demand for real-time inference and privacy protection in low-power scenarios among terminal devices has made AI SoC the core carrier to meet this demand, directly driving the rapid expansion of market scale. Compared with traditional SoCs, AI SoCs have advantages in balancing the operational efficiency of complex algorithms and power consumption, making them an indispensable component for the intelligent upgrading of smart devices.
In downstream application fields, AI SoC presents the characteristics of multi-scenario penetration and differentiated development:
1. In the smart home scenario, device forms continue to enrich—expanding from traditional categories such as smart TVs, set-top boxes, and IP cameras to home service robots (sweeping, lawn-mowing, companion robots, etc.) and smart home appliances. Technologies such as 5G and Wi-Fi 7 have laid a solid foundation for connectivity, while AI empowers devices with automatic collaboration and personalized experiences.
2. In the commercial and education sector, enterprise digital transformation and industry-wide intelligent demands have spawned diverse applications. Smart conference systems, payment devices, fitness equipment, advertising terminals, and other devices all require AI SoC to provide computing power support. Scenario-specific customization has become a trend—for example, security-oriented devices focus on image and video analysis capabilities, while conference devices emphasize audio processing and natural language understanding, driving sustained high growth of AI SoC in this field.
3. The automotive sector is an important growth pole for AI SoC. Amid the trends of electrification, connectivity, and intelligence in smart cars, smart cockpits (multi-screen interaction, AR navigation, voice assistants) and advanced driver assistance systems (ADAS) have an urgent demand for AI SoCs with high computing power, low latency, and high integration. The in-depth application of AI technology in scenarios such as power optimization and safety protection has further amplified market demand.
4. In the personal mobile device field, product forms have expanded from smartphones and wearable devices to innovative categories such as XR devices and AI glasses. Edge AI requires devices to possess local data processing and offline working capabilities, prompting AI SoCs to evolve towards higher heterogeneous computing capabilities and better energy efficiency ratios. Among these, AI SoCs related to smart wearable devices have shown particularly prominent growth.
From the perspective of development trends, the AI SoC market is presenting three core directions: first, the in-depth integration of AI and edge computing—local processing of AI tasks on terminal devices has become the norm, forcing chips to seek a better balance between computing power enhancement and power consumption control; second, the parallel development of customization and high integration—manufacturers need to optimize AI accelerators, interfaces, and power management units according to the segmented needs of different application scenarios, providing integrated hardware and software solutions; third, the growing importance of ecological collaboration—linkages between operators, smart device brands, and SoC manufacturers have deepened, and a global marketing, sales, and service network has become a key competitive advantage for manufacturers.
LP Information, Inc. (LPI) ' newest research report, the “AI SoC Industry Forecast” looks at past sales and reviews total world AI SoC sales in 2025, providing a comprehensive analysis by region and market sector of projected AI SoC sales for 2026 through 2032. With AI SoC sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI SoC industry.
This Insight Report provides a comprehensive analysis of the global AI SoC landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI SoC portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI SoC market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI SoC and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI SoC.
This report presents a comprehensive overview, market shares, and growth opportunities of AI SoC market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
Low TOPS
Medium TOPS
High TOPS
Ultra-high TOPS
Segmentation by Application:
Security
Automotive ADAS/Autonomous Driving
Consumer Electronics
General Edge/Industrial Control AI
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
Mobileye
Ambarella
Hisilicon
Rockchip Electronics
Aispeech
SigmaStar Technology Ltd
Eeasy Tech
SENSLAB
Shanghai Fullhan Microelectronics
Ingenic Semiconductor
Shanghai Artosyn
Rebellions Inc
OCE Technology
SEMIFIVE
Atlazo
Anyka Microelectronics
Horizon Robotics
Black Sesame Technologies
Kneron
Shanghai Axera Semiconductor Technology
Allwinner Technology
Texas Instruments
Qualcomm
Renesas Electronics
iCatch Technology
NXP Semiconductors
Nextchip
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI SoC market?
What factors are driving AI SoC market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI SoC market opportunities vary by end market size?
How does AI SoC break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
167 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 Global by Company
- 4 World Historic Review for AI SoC by Geographic Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Manufacturing Cost Structure Analysis
- 11 Marketing, Distributors and Customer
- 12 World Forecast Review for AI SoC by Geographic Region
- 13 Key Players Analysis
- 14 Research Findings and Conclusion
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