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By 2030, the global market for AI in computer vision is projected to be worth $100.48 billion, growing at a compound annual growth rate (CAGR) of 20.5% between 2022 and 2030.
By improving machines' ability to comprehend and understand visual data, artificial intelligence has completely disrupted the field of computer vision. The integration of AI into computer vision allows for automated picture and video analysis and information extraction. Computer vision systems driven by artificial intelligence are capable of image categorization, object detection, segmentation, and tracking thanks to deep learning algorithms' ability to recognise things and find patterns. Facial recognition, driverless vehicles, medical imaging, and augmented reality are all areas where AI has allowed for significant progress. Artificial intelligence (AI) in computer vision has made great leaps in accuracy, speed, and efficiency by merging neural networks, machine learning, and big data, enabling applications across a wide range of industries, such as healthcare, retail, transportation, and security. Computer vision's potential for new advancements is being unlocked by the ever-increasing sophistication of artificial intelligence algorithms and hardware.
Reasons Why
Several factors are fueling the rapid expansion of the AI in computer Vision market. Advanced artificial intelligence (AI) algorithms for visual analysis have been made possible by the growing availability of large quantities of visual data as well as advances in computer power and storage. Moreover, the need for automation and optimisation in sectors like manufacturing, healthcare, and retail has increased the use of computer vision systems driven by artificial intelligence to perform tasks like quality control, object detection, and inventory management. Computer vision models have also benefited greatly from the development of deep learning techniques such as convolutional neural networks and generative adversarial networks. In addition, the possibilities and uses of computer vision have broadened thanks to the incorporation of AI with other developing technologies such as augmented reality and edge computing, resulting in new growth potential in the industry.
Limiting Circumstances
There are opportunities in the growing market for AI in computer vision, but the market also faces challenges. Since the processing and analysis of sensitive visual data raises ethical and legal consequences, data privacy and security concerns represent an obstacle to the mainstream adoption of AI in computer vision. Artificial intelligence algorithms are complicated and computationally intensive, which might be a barrier to their use in contexts with limited resources. Furthermore, deep learning models are not widely adopted for use in mission-critical applications because of their lack of interpretability and transparency. In addition, small and medium-sized businesses may be deterred by the high price tag associated with creating and maintaining AI-based computer vision systems. To realise the full potential of AI in computer vision, these limitations must be removed.
The worldwide market for AI in computer vision is broken down into the hardware market and the software market. The software industry has quickly grown to become the industry leader in artificial intelligence for computer vision. There are a number of significant causes for this pattern. Thanks to the development of AI algorithms and deep learning methods, cutting-edge computer vision software solutions are now feasible. These applications help businesses gain insights from visual data by providing features like image recognition, object detection, and video analysis. The software component is adaptable and scalable, facilitating AI's incorporation into an enterprise's preexisting IT framework. The growth of computer vision software powered by artificial intelligence can also be attributed to the availability of open-source frameworks and libraries, as well as the expanding community of software engineers that use them. The software industry is so dominant because its products are cheaper and more widely adopted than their hardware counterparts.
The global market for AI in computer vision may be broken down into two distinct subsegments: industrial and non-industrial. When it comes to the commercial applications of computer vision AI, the non-industrial sector has taken the financial lead. The scope of this field extends far beyond the typical confines of industry. The rapid use of computer vision powered by artificial intelligence in fields including healthcare, retail, automotive, security, and entertainment has been a major factor in the sector's success. Medical imaging analysis, disease identification, and preoperative planning are just few of the many healthcare applications for computer vision. Inventory management, customer analytics, and individualised service are just some of the retail applications of computer vision. Computer vision is used in cars for autonomous driving, assisting drivers, and recognising objects. Video surveillance, facial recognition, and other access control systems are all examples of security applications. In general, computer vision is used in the entertainment industry for creating virtual and augmented reality experiences. The non-industrial segment of the AI in computer vision market accounts for the lion's share of revenue due to the widespread applications and high demand in these areas.
Report Coverage
Global Artificial Intelligence In Computer Vision research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Artificial Intelligence In Computer Vision report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Artificial Intelligence In Computer Vision competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Artificial Intelligence In Computer Vision market players and analyses their core competencies in each global market sub-segments.
Key Points Covered in the Report
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Artificial Intelligence In Computer Vision market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Artificial Intelligence In Computer Vision market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
Ultraleap, Irida Labs S.A., Clarifai, Inc., General Electric, Teledyne Technologies Inc, Xilinx, Inc., Omron Corporation, Nvidia Corporation, Qualcomm Technologies Inc., Intel Corporation, Google, LLC, Microsoft Corporation, Apple Inc., Meta Platforms Inc. and Prisma AI, IBM Corporation, Advanced Micro Devices, Inc., Alphabet, Inc., Amazon, Basler AG, Hailo, Groq, Inc.
Primary Target Market
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2030. INFINITIVE DATA EXPERT has segmented the global Artificial Intelligence In Computer Vision market based on the below-mentioned segments:
Global Artificial Intelligence In Computer Vision Market, By Component
Hardware
Software
Global Artificial Intelligence In Computer Vision market, By Application
Industrial
Non-industrial
Global Artificial Intelligence In Computer Vision Market, By End User
Automotive
Consumer Electronics
Healthcare
Retail
Security & Surveillance
Manufacturing
Agriculture
Transportation & Logistics
Others
Global Artificial Intelligence In Computer Vision market, Regional Analysis
By improving machines' ability to comprehend and understand visual data, artificial intelligence has completely disrupted the field of computer vision. The integration of AI into computer vision allows for automated picture and video analysis and information extraction. Computer vision systems driven by artificial intelligence are capable of image categorization, object detection, segmentation, and tracking thanks to deep learning algorithms' ability to recognise things and find patterns. Facial recognition, driverless vehicles, medical imaging, and augmented reality are all areas where AI has allowed for significant progress. Artificial intelligence (AI) in computer vision has made great leaps in accuracy, speed, and efficiency by merging neural networks, machine learning, and big data, enabling applications across a wide range of industries, such as healthcare, retail, transportation, and security. Computer vision's potential for new advancements is being unlocked by the ever-increasing sophistication of artificial intelligence algorithms and hardware.
Reasons Why
Several factors are fueling the rapid expansion of the AI in computer Vision market. Advanced artificial intelligence (AI) algorithms for visual analysis have been made possible by the growing availability of large quantities of visual data as well as advances in computer power and storage. Moreover, the need for automation and optimisation in sectors like manufacturing, healthcare, and retail has increased the use of computer vision systems driven by artificial intelligence to perform tasks like quality control, object detection, and inventory management. Computer vision models have also benefited greatly from the development of deep learning techniques such as convolutional neural networks and generative adversarial networks. In addition, the possibilities and uses of computer vision have broadened thanks to the incorporation of AI with other developing technologies such as augmented reality and edge computing, resulting in new growth potential in the industry.
Limiting Circumstances
There are opportunities in the growing market for AI in computer vision, but the market also faces challenges. Since the processing and analysis of sensitive visual data raises ethical and legal consequences, data privacy and security concerns represent an obstacle to the mainstream adoption of AI in computer vision. Artificial intelligence algorithms are complicated and computationally intensive, which might be a barrier to their use in contexts with limited resources. Furthermore, deep learning models are not widely adopted for use in mission-critical applications because of their lack of interpretability and transparency. In addition, small and medium-sized businesses may be deterred by the high price tag associated with creating and maintaining AI-based computer vision systems. To realise the full potential of AI in computer vision, these limitations must be removed.
The worldwide market for AI in computer vision is broken down into the hardware market and the software market. The software industry has quickly grown to become the industry leader in artificial intelligence for computer vision. There are a number of significant causes for this pattern. Thanks to the development of AI algorithms and deep learning methods, cutting-edge computer vision software solutions are now feasible. These applications help businesses gain insights from visual data by providing features like image recognition, object detection, and video analysis. The software component is adaptable and scalable, facilitating AI's incorporation into an enterprise's preexisting IT framework. The growth of computer vision software powered by artificial intelligence can also be attributed to the availability of open-source frameworks and libraries, as well as the expanding community of software engineers that use them. The software industry is so dominant because its products are cheaper and more widely adopted than their hardware counterparts.
The global market for AI in computer vision may be broken down into two distinct subsegments: industrial and non-industrial. When it comes to the commercial applications of computer vision AI, the non-industrial sector has taken the financial lead. The scope of this field extends far beyond the typical confines of industry. The rapid use of computer vision powered by artificial intelligence in fields including healthcare, retail, automotive, security, and entertainment has been a major factor in the sector's success. Medical imaging analysis, disease identification, and preoperative planning are just few of the many healthcare applications for computer vision. Inventory management, customer analytics, and individualised service are just some of the retail applications of computer vision. Computer vision is used in cars for autonomous driving, assisting drivers, and recognising objects. Video surveillance, facial recognition, and other access control systems are all examples of security applications. In general, computer vision is used in the entertainment industry for creating virtual and augmented reality experiences. The non-industrial segment of the AI in computer vision market accounts for the lion's share of revenue due to the widespread applications and high demand in these areas.
Report Coverage
Global Artificial Intelligence In Computer Vision research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Artificial Intelligence In Computer Vision report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Artificial Intelligence In Computer Vision competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Artificial Intelligence In Computer Vision market players and analyses their core competencies in each global market sub-segments.
| REPORT ATTRIBUTES | DETAILS |
|---|---|
| Study Period | 2017-2030 |
| Base Year | 2022 |
| Forecast Period | 2022-2030 |
| Historical Period | 2017-2021 |
| Unit | Value (USD Billion) |
| Key Companies Profiled | Ultraleap, Irida Labs S.A., Clarifai, Inc., General Electric, Teledyne Technologies Inc, Xilinx, Inc., Omron Corporation, Nvidia Corporation, Qualcomm Technologies Inc., Intel Corporation, Google, LLC, Microsoft Corporation, Apple Inc., Meta Platforms Inc. and Prisma AI, IBM Corporation, Advanced Micro Devices, Inc., Alphabet, Inc., Amazon, Basler AG, Hailo, Groq, Inc. |
| Segments Covered | • By Product |
| Customization Scope | Free report customization (equivalent to up to 3 analyst working days) with purchase. Addition or alteration to country, regional & segment scope |
Key Points Covered in the Report
- Market Revenue of Artificial Intelligence In Computer Vision Market from 2021 to 2030.
- Market Forecast for Artificial Intelligence In Computer Vision Market from 2021 to 2030.
- Regional Market Share and Revenue from 2021 to 2030.
- Country Market share within region from 2021 to 2030.
- Key Type and Application Revenue and forecast.
- Company Market Share Analysis, Artificial Intelligence In Computer Vision competitive scenario, ranking, and detailed company
profiles. - Market driver, restraints, and detailed COVID-19 impact on Artificial Intelligence In Computer Vision
Market
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Artificial Intelligence In Computer Vision market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Artificial Intelligence In Computer Vision market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
Ultraleap, Irida Labs S.A., Clarifai, Inc., General Electric, Teledyne Technologies Inc, Xilinx, Inc., Omron Corporation, Nvidia Corporation, Qualcomm Technologies Inc., Intel Corporation, Google, LLC, Microsoft Corporation, Apple Inc., Meta Platforms Inc. and Prisma AI, IBM Corporation, Advanced Micro Devices, Inc., Alphabet, Inc., Amazon, Basler AG, Hailo, Groq, Inc.
Primary Target Market
- Market Players of Artificial Intelligence In Computer Vision
- Investors
- End-users
- Government Authorities
- Consulting And Research Firm
- Venture capitalists
- Third-party knowledge providers
- Value-Added Resellers (VARs)
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2030. INFINITIVE DATA EXPERT has segmented the global Artificial Intelligence In Computer Vision market based on the below-mentioned segments:
Global Artificial Intelligence In Computer Vision Market, By Component
Hardware
Software
Global Artificial Intelligence In Computer Vision market, By Application
Industrial
Non-industrial
Global Artificial Intelligence In Computer Vision Market, By End User
Automotive
Consumer Electronics
Healthcare
Retail
Security & Surveillance
Manufacturing
Agriculture
Transportation & Logistics
Others
Global Artificial Intelligence In Computer Vision market, Regional Analysis
- Europe: Germany, Uk, France, Italy, Spain, Russia, Rest of Europe
- The Asia Pacific: China,Japan,India,South Korea,Australia,Rest of Asia Pacific
- South America: Brazil, Argentina, Rest of South America
- Middle East & Africa: UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa
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