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AI Vision Chip Market Trends and Forecast

The future of the global AI vision chip market looks promising with opportunities in the security & surveillance, automotive, consumer electronic, internet of thing, drone, and robot markets. The global AI vision chip market is expected to grow with a CAGR of 32.4% from 2024 to 2030. The major drivers for this market are growing adoption of edge computing and rising adoption of computer vision technology in various industries such as manufacturing, healthcare, security, and autonomous vehicles.
• Lucintel forecasts that 12 nm is expected to witness the highest growth over the forecast period.
• Within this market, security & surveillance is expected to witness the highest growth.
• APAC is expected to witness the highest growth over the forecast period.

AI Vision Chip Market Trends and Forecast

Country Wise Outlook for the AI Vision Chip Market

• United States: Qualcomm launched its latest AI vision chips for advanced camera and AR applications in smartphones. The U.S. government supports AI research with significant funding under the National AI Initiative.

• China: Huawei introduced AI vision chips aimed at enhancing smart city surveillance systems. The Chinese government’s AI strategy includes substantial investments to achieve global AI leadership by 2030.

• South Korea: Samsung developed new AI vision chips for autonomous vehicles and smart home devices. The South Korean government targets becoming a global AI leader by 2025 with increased funding for AI technology development.

• Japan: Sony announced AI vision chips with enhanced image processing capabilities for industrial automation and robotics. The Japanese government is promoting AI integration in various sectors through its Society 5.0 initiative.


A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.

AI Vision Chip Market by Segment

AI Vision Chip Market by Segment

The study includes a forecast for the global AI vision chip market by type, application, and region.

AI Vision Chip Market by Type [Value from 2018 to 2030]:


• 12 nm
• 14 nm
• 22 nm
• Others

AI Vision Chip Market by Application [Value from 2018 to 2030]:


• Security & Surveillance
• Automotive
• Consumer Electronics
• Internet Of Things
• Drone
• Robot
• Others

AI Vision Chip Market by Region [Value from 2018 to 2030]:


• North America
• Europe
• Asia Pacific
• The Rest of the World

List of AI Vision Chip Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI vision chip companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI vision chip companies profiled in this report include-
• Ambarella
• Nextchip
• Centeye
• Ambarella
• Axera
• Goke Microelectronics
• Pixelcore
• Hisilicon
• IMICRO
• NextVPU

Recent Development in the AI Vision Chip Market

• Qualcomm: Qualcomm has launched its latest Snapdragon AI vision chips designed for advanced camera and augmented reality (AR) applications in smartphones. These chips offer enhanced image processing capabilities and energy efficiency, aiming to provide superior performance for next-generation mobile devices. Qualcomm continues to invest in AI hardware to maintain its leadership in the mobile chipset market.

• Huawei: Huawei recently introduced its Ascend series of AI vision chips, specifically targeting smart city surveillance systems. These chips are designed to improve real-time video analytics and facial recognition accuracy. HuaweiÄX%$%Xs initiative aligns with ChinaÄX%$%Xs broader goal of becoming a global leader in AI by 2030, with significant government support and investment in AI technologies.

• Samsung: Samsung has developed new AI vision chips for applications in autonomous vehicles and smart home devices. These chips aim to enhance object detection and recognition capabilities, crucial for the development of advanced driver-assistance systems (ADAS) and intelligent home automation solutions. The South Korean government supports these advancements through increased funding and AI-focused policy initiatives.

• Sony: Sony announced its latest AI vision chips featuring enhanced image processing capabilities for industrial automation and robotics. These chips are designed to improve the efficiency and accuracy of automated systems in manufacturing and logistics. SonyÄX%$%Xs initiative is part of JapanÄX%$%Xs Society 5.0 vision, which promotes the integration of AI across various sectors to drive innovation and economic growth.

• Intel: Intel unveiled its Movidius Myriad X vision processing unit (VPU), which integrates AI capabilities for improved visual intelligence in drones, robotics, and security cameras. The Myriad X VPU enhances object detection and classification performance, enabling more efficient and accurate real-time video analytics. Intel continues to invest in AI hardware to expand its footprint in the AI vision chip market.

Features of the Global AI Vision Chip Market

Market Size Estimates: AI vision chip market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI vision chip market size by type, application, and region in terms of value ($B).
Regional Analysis: AI vision chip market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI vision chip market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI vision chip market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q1. What is the growth forecast for AI vision chip market?
Answer: The global AI vision chip market is expected to grow with a CAGR of 32.4% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI vision chip market?
Answer: The major drivers for this market are growing adoption of edge computing and rising adoption of computer vision technology in various industries such as manufacturing, healthcare, security, and autonomous vehicles.
Q3. What are the major segments for AI vision chip market?
Answer: The future of the AI vision chip market looks promising with opportunities in the security & surveillance, automotive, consumer electronic, internet of thing, drone, and robot markets.
Q4. Who are the key AI vision chip market companies?
Answer: Some of the key AI vision chip companies are as follows:
• Ambarella
• Nextchip
• Centeye
• Ambarella
• Axera
• Goke Microelectronics
• Pixelcore
• Hisilicon
• IMICRO
• NextVPU
Q5. Which AI vision chip market segment will be the largest in future?
Answer: Lucintel forecasts that 12 nm is expected to witness the highest growth over the forecast period.
Q6. In AI vision chip market, which region is expected to be the largest in next 5 years?
Answer: APAC is expected to witness the highest growth over the forecast period.
Q7. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the AI vision chip market by type (12 nm, 14 nm, 22 nm, and others), application (security & surveillance, automotive, consumer electronics, internet of things, drone, robot, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

For any questions related to AI Vision Chip Market, AI Vision Chip Market Size, AI Vision Chip Market Growth, AI Vision Chip Market Analysis, AI Vision Chip Market Report, AI Vision Chip Market Share, AI Vision Chip Market Trends, AI Vision Chip Market Forecast, AI Vision Chip Market Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.
Table of Contents

1. Executive Summary
2. Global AI Vision Chip Market : Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges 
3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global AI Vision Chip Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global AI Vision Chip Market by Type
3.3.1: 12 nm
3.3.2: 14 nm
3.3.3: 22 nm
3.3.4: Others
3.4: Global AI Vision Chip Market by Application
3.4.1: Security & Surveillance
3.4.2: Automotive
3.4.3: Consumer Electronics
3.4.4: Internet of Things
3.4.5: Drone
3.4.6: Robot
3.4.7: Others
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global AI Vision Chip Market by Region
4.2: North American AI Vision Chip Market
4.2.1: North American AI Vision Chip Market by Type: 12 nm, 14 nm, 22 nm, and Others
4.2.2: North American AI Vision Chip Market by Application: Security & Surveillance, Automotive, Consumer Electronics, Internet of Things, Drone, Robot, and Others
4.3: European AI Vision Chip Market
4.3.1: European AI Vision Chip Market by Type: 12 nm, 14 nm, 22 nm, and Others
4.3.2: European AI Vision Chip Market by Application: Security & Surveillance, Automotive, Consumer Electronics, Internet of Things, Drone, Robot, and Others
4.4: APAC AI Vision Chip Market
4.4.1: APAC AI Vision Chip Market by Type: 12 nm, 14 nm, 22 nm, and Others
4.4.2: APAC AI Vision Chip Market by Application: Security & Surveillance, Automotive, Consumer Electronics, Internet of Things, Drone, Robot, and Others
4.5: ROW AI Vision Chip Market
4.5.1: ROW AI Vision Chip Market by Type: 12 nm, 14 nm, 22 nm, and Others
4.5.2: ROW AI Vision Chip Market by Application: Security & Surveillance, Automotive, Consumer Electronics, Internet of Things, Drone, Robot, and Others
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global AI Vision Chip Market by Type
6.1.2: Growth Opportunities for the Global AI Vision Chip Market by Application
6.1.3: Growth Opportunities for the Global AI Vision Chip Market by Region
6.2: Emerging Trends in the Global AI Vision Chip Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global AI Vision Chip Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI Vision Chip Market
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: Ambarella
7.2: Nextchip
7.3: Centeye
7.4: Ambarella
7.5: Axera
7.6: Goke Microelectronics
7.7: Pixelcore
7.8: Hisilicon
7.9: IMICRO
7.10: NextVPU
.

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A 150 Page Report
Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

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