USD 11.22 billion
Report ID:
SQMIG45E2084 |
Region:
Global |
Published Date: July, 2024
Pages:
157
|Tables:
87
|Figures:
76
Global Computer Vision Market size was valued at USD 16.10 Billion in 2022 and is poised to grow from USD 17.4 Billion in 2023 to USD 32.45 Billion by 2031, growing at a CAGR of 8.1% in the forecast period (2024-2031).
Computer vision AI is intended to enable computers to detect, identify, and understand objects and people in images and videos. The high business demand for automation and efficiency acts as one of the main moving factors of the industry rise in AI. Automation and efficacy will enable businesses to enhance the accuracy of their decision-making processes while spending less time and money. This factor influences the market positively, as owing to this, most companies today are automating procedures and increasing productivity by the incorporation of AI computer vision technologies. The use of computer vision systems can extend to manufacturing facilities to conduct product inspection and defect detection. It raises productivity levels and reduces waste as it allows for the identification and resolution of issues linked to production rapidly and with greater effectiveness. In addition, the main industrial growth driver is the increase of applications of computer vision systems. Over recent years, there has been an expansion of computer vision applications in several industries; further increases are expected to take place in the future. Facilitating face recognition applications within public and private sectors by more people has revitalized this area as a lucrative opportunity for market expansion in facial recognition technology.
Global Market Size
USD 11.22 billion
Largest Segment
Industrial
Fastest Growth
Industrial
Growth Rate
7% CAGR
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The Global Computer Vision Market is segmented into Component, Product, Application, End Use, and Region. By Component, the market is bifurcated into Hardware and Software. Depending on Product, it is classified into smart Camera-based and Pc-based. According to the Application, the market is divided into Quality Assurance & Inspection and Positioning & Guidance. As per End Use, the market is categorized into Industrial and Non-industrial. Regionally, the market is analyzed across North America, Asia-Pacific, Latin America, Middle East & Africa, and Europe.
Analysis By Component
With over half of the market, the hardware segment is expected to earn the largest profit margin. A wide range of diverse hardware components, including processors, cameras, lenses, frame grabbers, and LED lights, are included in the hardware category. The market's segmented expansion may be attributed to the widespread availability of complex hardware platforms with simple component interconnection and advanced characteristics including fast processing, multi-mega-pixel resolution, and fully digital data handling. Thus, this aids in the market's development during the anticipated period.
The fastest-growing software segment in the computer vision market is a result of the rapid developments in AI, deep learning frameworks, and machine learning techniques. These advancements have increased the functionality and accuracy of computer vision programs, allowing them to be used for more tasks. Due to the widespread availability of strong and reasonably priced computing resources such as GPUs and cloud platforms, more organizations are also able to develop and implement sophisticated computer vision software. This has led to an increase in the requirement for software solutions that can be tailored for a variety of industries, including healthcare, automotive, retail, and security. In addition, a growing number of developers and businesses are finding it easier to generate ideas and construct apps thanks to the widespread availability of open-source libraries and tools. This further fastens the expansion of the computer vision industry's software segment.
Analysis By Product
The PC-based systems are dominating due to higher processing power, scalability, and flexibility. With the former, more processing power is available, opening the door for more advanced image analysis and machine learning methods. They can be applied in many applications in a variety of industries since they can be more easily integrated with the current IT infrastructure. As they are flexible, they can easily integrate with the current IT infrastructure by assuring their compatibility with existing systems and allowing updates and extensions more smoothly. PC-based systems are favored in managing heavy visual activities and data processing requirements because they are scalable and agile.
Smart camera-based computer vision systems will be increasingly liked due to their ease in affordability, portability, and affordable cost. Stand-alone smart cameras group the capturing, processing, and output of an image within one device, which decreases system complexity and reduces the installation time. Therefore, technology has enabled smart cameras to apply increased capabilities for increasingly complex visual tasks. It caters to edge computing and the Internet of Things, thereby accelerating further usage of smart camera-based solutions. Smart camera-based solutions have gone mainstream in various industries due to cost-effectiveness and ease of deployment.
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By geography, North America captures the largest share of the market. The leading share can be contributed to the wide-scale deployment of IoT in the region. A robust IT and communications infrastructure in the region, along with large volumes of cloud and edge deployments, is another contributory factor for the adoption of computer vision. In addition, due to growing applications of computer vision into manufacturing, retail, healthcare, and security industries, among others, the market is growing. These models perform even better due to the growing volume of photo and video data which provides them with useful training information. Thus, these factors facilitate the regional market growth.
In terms of compound annual growth rate (CAGR), Asia Pacific is anticipated to increase at the fastest rate throughout the forecast period. This increase in demand in the regional market is attributed, at least in part, to the growing number of use cases across various industries. The application of computer vision in the automotive, electronics, and industrial sectors to improve safety and automate various processes, such as inventory management, quality inspection, and assembly lines, is driving demand in Asia Pacific. These industries continue to invest in R&D and product development, and future demand for computer vision systems is expected to increase. The government's policies and initiatives are significant drivers of the market expansion in this sector.
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Drivers
Encourage Manufacturing to Drive Market Growth with Efficient Quality Control
Growing Applications of Computer Vision Systems
Restraints
High Purchase and Implementation Costs to Companies Is Anticipated to Hinder Market Growth
Security and Privacy Concerns
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Key players in the industry have been expanding their global presence offering niche and industry-specific solutions. They have resorted to mergers and acquisitions of regional companies to establish a strong presence across several regions. These companies are focusing on devising successful marketing strategies and discovering new ways to retain and grow their respective market shares. This, in turn, will lead to a higher demand for computer vision solutions and may result in the opening of new business avenues for the players operating in the computer vision market.
Computer Vision Market Top Players Company Profiles
Recent Developments
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest Analysis, the adoption of generative AI is effective in having a considerable influence on computer vision, facilitating the creation of realistic images, enhancing image generation tasks, and aiding in data augmentation. Besides, generative AI has a potentiality in computer vision, with maturing technology and permeation for greater adoption and revolutionary applications across various industries. Therefore, this factor boosts the growth in the global computer vision market. Key players in the industry have been expanding their global presence offering niche and industry-specific solutions. They are adopting several strategies, including partnerships, collaboration, product development & innovation, and marketing, to maintain their foothold in the market.
Report Metric | Details |
---|---|
Market size value in 2022 | USD 16.10 Billion |
Market size value in 2031 | USD 32.45 Billion |
Growth Rate | 8.1% |
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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Customization scope | Free report customization with purchase. Customization includes:-
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Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the 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 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.
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Computer Vision Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Computer Vision Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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Report ID: SQMIG45E2084
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