Exploring Artificial Intelligence Career Paths: Opportunities in 2025

Global Artificial Intelligence In Computer Vision Market Size To Worth ...

SPHERICAL INSIGHTS LLP

The Global Artificial Intelligence in Computer Vision Market Size was valued at USD 16.91 Billion in 2022 and the Worldwide Artificial Intelligence in Computer Vision Market Size is expected to reach USD 100.42 Billion by 2032, according to a research report published by Spherical Insights & Consulting. Companies Covered:NVIDIA Corporation, Intel Corporation, Microsoft, IBM Corporation, Qualcomm Technologies Inc., Advanced Micro Devices, Inc., Alphabet, Inc., Amazon, Basler AG, Hailo, Groq, Inc. And among others.

New York, United States , July 05, 2023 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence In Computer Vision Market Size is to grow from USD 16.91 billion in 2022 to USD 100.42 billion by 2032, at a Compound Annual Growth Rate (CAGR) of 19.5% during the forecast period.

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Artificial Intelligence has revolutionized computer vision by enabling machines to interpret and understand visual data. AI-powered computer vision systems leverage deep learning algorithms to recognize objects, detect patterns, and perform tasks such as image classification, object detection, and tracking. AI in computer vision has applications in facial recognition, autonomous vehicles, medical imaging, and augmented reality. Through neural networks, machine learning, and big data, AI has significantly improved accuracy, speed, and efficiency in computer vision tasks. This technology finds applications across industries like healthcare, retail, transportation, and security, with ongoing advancements in algorithms and hardware driving further progress in computer vision capabilities.

Report Coverage

This research report categorizes the market for artificial intelligence in computer vision market based on various segments and regions and forecasts revenue growth and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the artificial intelligence in computer vision market. Recent market developments and 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 market players and analyses their core competencies in each sub-segments of the artificial intelligence in computer vision market.

Browse key industry insights spread across 200 pages with 120 Market data tables and figures & charts from the report on "Global Artificial Intelligence In Computer Vision Market Size, Share, and COVID-19 Impact Analysis, By Component (Hardware and Software), By Function (Training and Inference), By Application (Industrial and Non-industrial), By End-Use (Automotive, Consumer Electronics, Healthcare, Retail, Security & Surveillance, Manufacturing, Agriculture, Transportation & Logistics, and Others), By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2022– 2032." Get Detailed Report Description Here:

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The training function segment is expected to grow at a CAGR of around 21.3% during the forecast period.

Based on function type, the global artificial intelligence in the computer vision market is segmented into training and inference. The training function segment is anticipated to witness significant growth in the forecast period in the field of artificial intelligence in computer vision. This growth can be attributed to several factors. The increasing demand for AI-powered computer vision applications necessitates the availability of accurate and reliable training data. Organizations are investing in the development of robust training datasets to enhance the performance and accuracy of their computer vision models. The advancements in deep learning algorithms and techniques require extensive training to achieve optimal results. As a result, the training function segment is expected to expand as businesses focus on refining their models through continuous training and retraining processes.

The automotive segment held the largest market share of around 24.7% in 2022

Based on end-use, the global artificial intelligence in the computer vision market is segmented into automotive, consumer electronics, healthcare, retail, security & surveillance, manufacturing, agriculture, transportation & logistics, and others. The automotive segment has emerged as the frontrunner, holding the largest market share in the field of artificial intelligence in computer vision. This dominance can be attributed to several key factors. The automotive industry is undergoing a rapid transformation with the rise of autonomous driving and advanced driver assistance systems (ADAS). Computer vision plays a crucial role in these technologies, enabling object detection, lane departure warnings, and pedestrian recognition. Automotive manufacturers are heavily investing in AI-driven computer vision to enhance safety, improve vehicle performance, and provide a better user experience.

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Asia-Pacific is predicted to grow at a higher CAGR of around 25.2% over the projected period.

Based on region, the Asia-Pacific region is poised for highest growth in the forecast period in the field of artificial intelligence in computer vision. Several factors contribute to this expected expansion. The region boasts a large and rapidly growing population, providing a vast market for AI technologies. The countries like China, Japan, and South Korea have been investing heavily in AI research and development, fostering innovation and technological advancements in computer vision. Additionally, the Asia-Pacific region has a strong manufacturing sector, where AI-powered computer vision systems find applications in quality control and automation. Moreover, the increasing adoption of AI-driven technologies in industries such as healthcare, retail, and transportation is further propelling the growth of AI in computer vision in the Asia-Pacific region.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the global market along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market. Some of the major players in the global artificial intelligence in computer vision market include NVIDIA Corporation, Intel Corporation, Microsoft, IBM Corporation, Qualcomm Technologies Inc., Advanced Micro Devices, Inc., Alphabet, Inc., Amazon, Basler AG, Hailo, and Groq, Inc. And others.

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Market Segment

This study forecasts revenue at global, regional, and country levels from 2019 to 2032. Spherical Insights has segmented the global artificial intelligence in computer vision market based on the below-mentioned segments:

Artificial Intelligence In Computer Vision Market, By Component

Artificial Intelligence In Computer Vision Market, By Function

Artificial Intelligence In Computer Vision Market, By Application

Industrial

Non-industrial

Artificial Intelligence In Computer Vision Market, By End-Use

Artificial Intelligence In Computer Vision Market, Regional Analysis

North America

Europe

Germany

UK

France

Italy

Spain

Russia

Rest of Europe

Asia Pacific

China

Japan

India

South Korea

Australia

Rest of Asia Pacific

South America

Brazil

Argentina

Rest of South America

Middle East & Africa

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Understanding Machine Vision: Definition And Applications

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Application Of Artificial Intelligence For Implementing Work Tasks

Cofounder of Advisability Group.

According to the IDC report, global spending on the artificial intelligence (AI) market will exceed $500 billion in 2023. I will discuss the areas of AI application, the most effective services, and what to expect from AI in the near future.

What is artificial intelligence?

According to experts, artificial intelligence is machine intelligence that imitates human behavior or thinking, and can be trained to solve specific tasks. AI models are trained on vast amounts of data and, according to developers, have the ability to make intelligent decisions, as well as imitate the unique human skill of creativity.

However, analysts believe that the full potential of AI will only be realized when it is available to everyone, and every company can benefit from it. This is facilitated by the growing number of applications and services that provide access to AI capabilities to everyone, regardless of their level of technical skills.

What are some popular AI-based services in 2023?

ChatGPT: An AI-powered chatbot that excels in automating routine tasks such as data entry, chat responses, scheduling meetings, email generation, social media analysis and more.

Jasper: A chatbot for businesses and marketers that helps generate real-time responses to common customer queries, write blog posts or website texts.

Cortana: A virtual assistant with built-in AI that can answer questions and perform a range of tasks, including organizing and managing meetings, reminders, and meetings through text or voice prompts.

Alexa: A personal assistant that can be used on various Amazon-compatible devices. It can send text messages, make phone calls and leave messages for subscribers if they don't pick up.

ELSA (English Language Speech Assistant): A language learning app that helps to learn English as a foreign language, as well as expand vocabulary and improve pronunciation quality.

What tasks can be accomplished with AI today?

According to some reports, 37% of organizations have already implemented AI in some form, and over the past four years, the proportion of businesses using AI has grown by 270%. It is estimated that by 2025, 95% of customer interactions will involve AI. This is not surprising, as 74% of consumers prefer to use chatbots for simple inquiries, and 65% feel comfortable receiving answers without human involvement.

Artificial intelligence is already being used for a wide range of tasks, such as:

• Language Processing And Recognition: Used in chatbots and voice assistants, and based on programs that convert speech to text.

• Image And Video Recognition: Used to identify objects, people and actions in images and videos in security systems and self-driving cars.

• Data Analysis: Used to predict future events and trends in marketing, as well as personalizing user experience.

• Automation Of Accounting: Allows organizations to reduce the time it takes to process financial reporting and the number of errors in it.

• Robotics: AI-powered machines can perform tasks traditionally done by humans, such as production, assembly, etc.

• Fraud Detection: Used in banking and e-commerce.

• Healthcare: Analyzing medical data and assisting in diagnosis and treatment planning.

• Supply Chain Optimization: Using machine learning algorithms, companies can increase forecasting capabilities, optimize inventory levels and reduce logistics costs.

• Video Game Development: Developers can use AI to create more realistic and complex characters.

What can we expect from AI?

According to forecasts, in the next decade, AI will surpass humans in many areas of activity: in language translation—by 2024; driving transport—by 2027; working in retail—by 2031; writing bestsellers—by 2049; and performing surgeries—by 2053. Researchers predict its overall superiority in all tasks to be around 2060.

As more data becomes available in specific fields such as finance, medicine, law, etc., I believe specialists will train ChatGPT and other AI models to specialize in various directions. This will help make them more practical and useful, giving more accurate answers to complex programming questions, improved support for developing applications for mobile devices and the Internet of Things, providing developers with more accurate forecasts on project completion times, a wider range of functions for data processing and analytics, and more.

However, it is important to remember that despite the forecasts, AI will never be able to fully replace humans, because although AI implies the ability of a computer to learn from data analysis and make decisions on its own, it is based on the information generated by humans, and ChatGPT is no exception. To use it effectively, adaptation is important.

How can you find a balance between AI and a human approach?

The emergence of ChatGPT has accelerated the development of AI technologies and the processes of integrating them into business due to its ease of use and impressive results. On the one hand, many companies, including mine, have been able to delegate routine processes to artificial intelligence. In other words, we have assigned AI tasks that do not require high qualifications and intellectual work. This has freed up employees to address more important issues.

On the other hand, the development and implementation of AI in companies has led to the emergence of new professions. For example, an AI trainer is a specialist who helps effectively train AI. It involves collaboration between humans and computer systems for training, developing and improving AI algorithms. Therefore, it is not possible to say that AI will completely replace humans in the near future.

The use of AI in various areas of life will continue to grow, and it is important to proactively ensure a balance between AI and real employees. To do this, you need to:

• Identify specific tasks where AI can be most effective, allowing employees to focus on more complex tasks.

• Train employees to interact with AI systems and take into account (but verify, as errors are possible!) their outputs when making decisions.

• Ensure that AI systems do not violate the rights and confidentiality of employees or clients by implementing control mechanisms to prevent potential problems associated with AI use.

• Encourage feedback and ideas from employees and clients to understand how AI affects their work and experience and make necessary adjustments.

• Organize training and development for employees.

• Find an approach that aligns with the goals of your company and ensures the optimal use of AI and humans.

Using this approach can make the use of AI for solving work tasks maximally effective.

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