The AI in computer vision market size was valued at US$ 13.75 billion in 2022 and is expected to reach US$ 135.44 billion by 2030. The AI in computer vision market is estimated to record a CAGR of 33.1% from 2022 to 2030.
Analyst Perspective:
The growth in the adoption of Industry 4.0 is propelling the growth of AI in the computer vision market as AI computer vision is transforming Industry 4.0 by enabling automated vehicles to interpret and understand visual information. Combining artificial intelligence and computer vision is like having a team of superpowered robots working in the warehouse and logistics operations. These robots can analyze, see, and make decisions based on what they observe. Computer vision is a fundamental technology for developing autonomous or self-driving vehicles. It provides the necessary perception capabilities, enabling vehicles to navigate and operate safely without human intervention. Thus, the growing number of autonomous vehicles propels the growth of AI in the computer vision market.
AI in Computer Vision Market Overview:
AI in computer vision enables computers and systems to draw meaningful information from digital images, videos, and other visual inputs and take actions or make references based on that information. Computer vision technology is heavily reliant on AI and machine learning technologies. AI enables computer vision to understand, recognize, and analyze all types of visual data. AI models, logic, and models can quickly consume, absorb, and learn from the huge amount of labeled and unlabeled visual data. It enables computer vision-enabled computers to recognize the various diverse features, patterns, and relationships in videos, graphics, and even infographics.
The goal of AI in computer vision is to create automated systems that can comprehend visual information (such as images or videos) in the same way that humans do. Computer vision aims to teach machines to understand and interpret images pixel by pixel. There are several use cases of AI-powered computer vision. Computer vision is being used in various industries such as security & surveillance, manufacturing, automotive, retail, sports & entertainment, and healthcare.
AI in Computer Vision Market Driver:
Growing Adoption of Industry 4.0 Drives AI in Computer Vision Market Growth
Industry 4.0 is a new phase of the industrial revolution—the digital transformation of manufacturing and related industries—that highly emphasizes automation, interconnectivity, real-time data, and machine learning. By combining Industry 4.0 with automation systems, traditional industrial facilities are gradually evolving into smart, connected, and highly efficient automated facilities. It forms a single automated unit that combines computers and industrial automation solutions with the help of robotics. A network of connected devices creates a smart architecture capable of making decentralized decisions. The increasing adoption of AI-based computer vision solutions among Industry 4.0 companies is expected to improve warehouse safety, allow companies to achieve higher levels of lean manufacturing, and increase productivity and profitability while lowering long-term costs.
Furthermore, AI computer vision is transforming Industry 4.0 by enabling automated vehicles to interpret and understand visual information. Combining artificial intelligence and computer vision is like having a team of superpowered robots working in the warehouse and logistics operations. These robots can analyze, see, and make decisions based on what they observe. This results in a more accurate, efficient, and streamlined workflow, leading to increased profitability and productivity. In a warehouse and logistics setting, these robots can perform tasks such as quality control, object recognition and identification, picking and packing, and inventory management. They help work at a faster pace and eliminate the possibility of human error, making sure that the right products reach the right customers on time and ensuring the smooth flow of operations.
AI computer vision revolutionizes industry processes by reducing human error, automating tasks, increasing productivity, enabling intelligent decision-making based on real-time data, and ensuring product quality. There are several applications of AI computer vision systems in automation for Industry 4.0. With computer vision, it measures products' quantities precisely and quickly, reduces costs and timelines, avoids human contact in particular processing to eliminate contamination risks, and guarantees better safety standards to employees. AI computer vision is fast growing in the industrial world because it offers integrable solutions in the production lines. A computer vision system can perform several operations, including monitoring products, analyzing possible defects, performing predictive maintenance to avoid malfunctions and interruptions, and improving safety on production sites. Thus, with the growing adoption of Industry 4.0, the AI in computer vision market is growing.
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AI in Computer Vision Market: Strategic Insights
Market Size Value in US$ 13.75 billion in 2022 Market Size Value by US$ 135.44 billion by 2030 Growth rate CAGR of 33.1% from 2022 to 2030 Forecast Period 2022-2030 Base Year 2022
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AI in Computer Vision Market: Strategic Insights
| Market Size Value in | US$ 13.75 billion in 2022 |
| Market Size Value by | US$ 135.44 billion by 2030 |
| Growth rate | CAGR of 33.1% from 2022 to 2030 |
| Forecast Period | 2022-2030 |
| Base Year | 2022 |
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AI in Computer Vision Market Report Segmentation and Scope:
AI in computer vision market is segmented into component, end-use industry, and geography. Based on component, the AI in computer vision market is segmented into hardware and software. In terms of end-use industry, AI in computer vision market is segmented into security & surveillance, manufacturing, automotive, retail, sports & entertainment, and others. By geography, the AI in computer vision market is segmented into North America, Europe, Asia Pacific, the Middle East & Africa, and South America.
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AI in Computer Vision Market Segmental Analysis:
Based on component, the AI in computer vision market is segmented into hardware and software. The software segment held a larger share of the AI in computer vision market in 2022. Software plays an important role in AI in computer vision by providing tools necessary to analyze and visualize data. Software provides several applications such as AI Frameworks, AI routines, video processing, image acquisition, image processing control, and artificial intelligence functions to design, develop, and deploy high-performance computer vision applications. Several players provide software for AI in computer vision. For instance, Advanced Micro Devices Inc. provides AMD ROCm Software. The software offers a suite of optimizations for AI workloads—from Large Language Models (LLMs) to image/video detection & recognition, life sciences & drug discovery, autonomous driving, robotics, and more—and supports the broader AI software ecosystem, including open frameworks, models, and tools.
Hardware plays a major role in capturing data during computer vision applications. The primary hardware elements needed for computer vision applications are a processor unit, input/output device (I/Os), cameras and image sensors for picture capture, and a communication link. Camera imaging sensors are distinguished by three key parameters: resolution (count of pixels), speed (frames per second), and color count. Depending on the type of computer vision application, the processing units vary from CPUs to embedded boards. Several players across the globe provide hardware for computer vision. For instance, Qualcomm Technologies, Inc. provides a Vision AI development kit for running artificial intelligence models on devices at the intelligent edge. The Vision AI development kit includes a main board, camera, and others.
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AI in Computer Vision Market Regional Analysis:
The North America AI in computer vision market size was valued at US$ 5.01 billion in 2022 and is projected to reach US$ 51.12 billion by 2030; it is expected to register a CAGR of 33.7% from 2022 to 2030. The North America AI in computer vision market is segmented into the US, Canada, and Mexico. The US held the largest share of the North America AI in computer vision market in 2022. Several commercial organizations and federal and state governments in the US have contributed to the growth of the market through the rapid adoption of AI technology for industrial and economic development. New York performs particularly well in AI integration and application quality as a financial and technical hub in the US. Additionally, the government initiative of smart cities across the country is also expected to influence the adoption of AI in computer vision technologies across the country. Various companies in the US are launching computer vision technologies. For instance, in May 2023, Landing AI, the leading computer vision cloud platform, announced the world's first computer vision software for FDA-regulated manufacturers. This platform version is targeted at highly regulated industries, such as drug, medical device makers, and life sciences, so that they can speed up innovative solutions. Thus, the AI in computer vision market is growing in the US.
AI in Computer Vision Market Key Player Analysis:
Advanced Micro Devices Inc., Cognex Corp., General Electric Co., Intel Corp., Microsoft Corp., Qualcomm Inc., Teledyne Technologies Inc., NVIDIA Corp., BASLER AG, and International Business Machines Corp. are among the key companies operating in the AI in computer vision market.
AI in Computer Vision Market Recent Developments:
Inorganic and organic strategies such as mergers and acquisitions are highly adopted by companies in the AI in computer vision market. A few recent key AI in computer vision market developments are listed below:
- In February 2022, AMD announced the acquisition of Xilinx, a semiconductor provider based in the US. Following the acquisition, Xilinx will now operate as a part of AMD's adaptive and embedded computing group. Both companies offer complementary products with differentiated IP and workforce. Working together, AMD and Xilinx would be able to deliver far broader products and solutions catering to every need for computing solutions.
- In March 2023, Intel Labs enhanced computer vision development with two new AI models. VI-Depth 1.0 and MiDaS 3.1 open-source AI models improve depth estimation for computer vision.
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Component, and End Use Industry
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
The global AI in computer vision market was estimated to be US$ 13.75 billion in 2022 and is expected to grow at a CAGR of 33.1% during the forecast period.
Growing adoption of industry 4.0, and rising applications in healthcare, agriculture, and retail industries are the major factors that propel the global AI in computer vision market.
The key players holding majority shares in the global AI in computer vision market are Intel Corp., Microsoft Corp., Qualcomm Inc., NVIDIA Corp., and International Business Machines Corp.
Edge computer vision and real- time video analytics are some of the factors to play a significant role in the global AI in computer vision market in the coming years.
The incremental growth expected to be recorded for the global AI in computer vision market during the forecast period is US$ 121.69 billion.
The global AI in computer vision market is expected to reach US$ 135.44 billion by 2030.
The List of Companies - AI in Computer Vision Market
- Advanced Micro Devices Inc
- Cognex Corp
- General Electric Co
- Intel Corp
- Microsoft Corp
- Qualcomm Inc
- Teledyne Technologies Inc
- NVIDIA Corp
- BASLER AG
- International Business Machines Corp
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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