USD 20.7 billion
Report ID:
SQMIG45D2063 |
Region:
Global |
Published Date: June, 2024
Pages:
197
|Tables:
113
|Figures:
77
Global Artificial Intelligence (AI) in Computer Vision Market size was valued at USD 20.7 billion in 2022 and is poised to grow from USD 25.8 billion in 2023 to USD 148.8 billion by 2031, growing at a CAGR of 24.5% during the forecast period (2024-2031).
Artificial Intelligence (AI) in computer vision is experiencing rapid growth due to the heavy demand in various industries. In computer vision, artificial intelligence (AI) has become an essential element in the predictive maintenance system, applying CCTV and deep machine learning algorithms in an accurate identification of faults on several systems. Such technology’s importance is highlighted by its extensive application in different industries ranging from consumer products to medical and industrial sector. Following the introduction of image sensors, smart cameras and the deep learning algorithms, the computer vision system is increasing its popularity and the uptake in various industrial domains is driving market growth and innovation.
Based on our analysis, we found the computer vision, which includes image recognition (critical for self-driving cars, for instance), is the most popular functional application of Artificial Intelligence (AI) has 49% of all AI-related patents, while natural language processing has 14% and speech processing has 13% of all AI-related patents. While computer vision, natural language processing and speech processing are the three most important functional applications in terms of the total number of patent filings, others such as robotics and control methods are emerging and growing fast.
In summary, the above number of patents show the growing need of AI in computer vision due to the high demand in various industries. Within the AI in computer vision market healthcare dominates the market at the CAGR 31.2%. AI in computer vision for healthcare has the maximum number of patents as per the latest data.
Global Market Size
USD 20.7 billion
Largest Segment
Software
Fastest Growth
Service
Growth Rate
24.5% CAGR
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Global Artificial Intelligence (AI) in Computer Vision Market is segmented by component, function, machine learning models, application, end use industry and region. Based on component, the market is segmented into Software (AI Platform, AI Solution), and Hardware (Processor [CPU, GPU, ASIC, FPGA], Memory, Storage). Based on function, the market is segmented into Training and Inference. Based on machine learning models, the market is segmented into Supervised Learning (Convolutional Neural Networks, Recurrent Neural Networks), Unsupervised Learning, and Reinforcement Learning. Based on application, the market is segmented into Industrial (2D Machine Vision, 3D Machine Vision, Quality Assurance & Inspection), and Non-industrial. Based on end use industry, the market is segmented into automotive (ADAS & infotainment, autonomous & semi-autonomous vehicles), consumer electronics (gaming, cameras, wearables, smartphones), healthcare (radiology, medical imaging), retail, security & surveillance (biometrics, image & video analytics, ai-guided drone-based surveillance), manufacturing, agriculture (crop monitoring, automated irrigation systems), transportation & logistics, and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Global Artificial Intelligence (AI) in Computer Vision Market Analysis by Component
In 2023, the software segment emerged as the largest market segment within the AI in computer vision market. The dominance of this segment attributed due the enhanced development in deep learning algorithms and neural networks, the precision and performance of deep vision systems have been greatly enhanced. The broad scope of AI is well covered by deep learning frameworks, image recognition software, video analytics tools, and AI based algorithms. The software part represents the basis for training AI models, performing object detection, image segmentation and face recognition, as well as most of the tasks related to the computer vision.
On the other hand, in 2023, the hardware segment is growing with the CAGR at 19.5% and emerged as the fastest growing segment within the AI in computer vision market. The hardware segment includes processors, memory, and storage solutions which are provided by AI solution providers and technology vendors. As artificial intelligence gets used increasingly in industries, there is a need for these solutions within the various applications to process the work more effectively.
Global Artificial Intelligence (AI) in Computer Vision Market Analysis by End User
The healthcare sector is the largest segment in the Global Artificial Intelligence (AI) in Computer Vision Market being the most diverse application sector with a very important impact in care and diagnostics. An Artificial Intelligence (AI)-powered computer vision technology is nowadays being utilized in medical imaging, disease diagnosis, surgical planning as well as the follow-up on the patient health. Computer vision algorithms can be used to look at medical images like X-rays, MRIs, and CT scans and detect abnormalities, early diagnosis and provide important insights to healthcare personnel. The implementation of AI in health care is attributed to an aspiring need to provide precision, productivity and affordability in medical imaging and diagnosis.
On the other hand, there is the case of automotive which is the fastest growing in the AI in Computer Vision business. The incorporation of AI in vehicles results in a transformation of the automotive sector with the help of computer vision technology. Computer vision systems provide ADAS and self-driving features with their technological capabilities. These systems can analyze real-time visual data from cameras and sensors to detect objects, identify pedestrians, comprehend the traffic signs, and serve as navigation guides for lanes. The automotive world is significantly allocating capital to AI-powered computer vision systems as they improve safety, driving, and even shift driving to autonomy. The development of the automotive segment is driven by the further development of the driver assistance systems, increased focus on traffic safety, and constant improvement of autonomous vehicle technology. Integration of AI into computer vision technology is set to shape the automotive industry and change the notion of how transportation will be in the future.
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North America dominated the AI in computer vision market in the year 2023. It holds the largest market share in terms of value and is projected to grow at the CAGR of 12.2%. The dominance of this region is mainly attributed due to the adoption of AI based technology in the industrial application. The region has experienced a growth surge in demand from agriculture, educational institutions, and law enforcement departments, hence directing the providers of such solutions and services towards a more successful applicability in this regional forum.
Asia Pacific had a considerable increase in market revenue as compared to the previous years, 2022 and 2023. The region is expected to experience the fastest growth with the CAGR of 19.5% among other regions during the projected period 2024-2031. The dominance of this region is mainly attributed due to the growing economies such as China, Japan and India that have the top adopting rate due to the growing industrial infrastructure, increasing disposable income, and highly investment in R&D activities.
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AI in computer vision Market Drivers
Inception of computer vision technologies need to inspire the AI
Rise in demand for automation
Restraints
High cost required for buying and implementing the AI computer vision systems into the production process
Data Privacy and Security Concerns
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Global Artificial Intelligence (AI) in Computer Vision has tremendous progress, resulting in disruption in numerous sectors such as healthcare and automotive. The major players such as Google, Microsoft, and NVIDIA have advanced the field with their algorithms and frameworks. On the other hand, startups such as Clarifai and SenseTime have also made significant innovations. Launches, innovations, technology advancements, mergers, and acquisitions, collaborations and partnerships are some of the growth strategies that are adopted by these key players to thrive in the competitive market.
AI in computer vision Market Top Player’s Company Profiles
AI in computer vision Market Recent Developments
In May 2024, OpenAI announced GPT-4o, its new flagship model that can reason across audio, vision, and text in real time. GPT-4o is a step towards much more natural human-computer interaction and has the capability to accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs.
In February 2024, Assert AI unveiled its no-code computer vision platform Pratham. This platform is patented for its innovative approach to democratizing computer vision and artificial intelligence. With Pratham, users can unlock the potential of Vision AI technology without the need for coding or AI expertise, marking a significant milestone in the field of computer vision technology.
In March 2023, Microsoft Corporation announced a renaissance in computer vision AI with Microsoft’s Florence foundation model. Microsoft’s Florence foundation model is trained with billions of text-image pairs and integrated as cost-effective, production-ready computer vision services in Azure Cognitive Service for Vision. The improved Vision Services enables developers to create cutting-edge, market-ready, responsible computer vision applications across various industries.
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
According to our global Artificial Intelligence (AI) in Computer Vision Market analysis, one of the remarkable things that AI in Computer Vision has done is to change the operation of many industries, such as healthcare, automotive industry and many others. Integration allows machines to interpret and process visual data with impressive accuracy, speed, and efficiency, such as image recognition, object detection, and even autonomous navigation. The union of AI algorithms with computer vision techniques has not only improved the productivity and decision-making process, but it has also created way for the range of applications such as facial recognition, augmented reality, and surveillance systems. Furthermore, the future is expected to see even more advanced forms of AI where deep learning and neural networks architecture are further improved, which signals a revolutionary wave in computer vision as well as other sectors.
Report Metric | Details |
---|---|
Market size value in Computer | USD 20.7 billion |
Market size value in 2031 | USD 148.8 billion |
Growth Rate | 24.5% |
Base year | 2023 |
Forecast period | 2024-2031 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Executive Summary
Market overview
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KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the Artificial Intelligence (AI) in Computer Vision Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Artificial Intelligence (AI) in Computer Vision Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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Report ID: SQMIG45D2063