The market size of computer vision, a segment of artificial intelligence, grew by nearly 22 percent in 2023. This growth is expected to plateau out through the decade, ending at under ten percent in 2030.

The market size in the 'Computer Vision' segment of the artificial intelligence market in the United States was forecast to continuously increase between 2025 and 2031 by in total 13.5 billion U.S. dollars (+150.17 percent). After the ninth consecutive increasing year, the market size is estimated to reach 22.53 billion U.S. dollars and therefore a new peak in 2031. Find more key insights for the market size in countries and regions like the market size change in the 'Generative AI' segment of the artificial intelligence market in the world and the market size in the 'Machine Learning' segment of the artificial intelligence market in the world. The Statista Market Insights cover a broad range of additional markets.

The market size change in the 'Computer Vision' segment of the artificial intelligence market in the United States was forecast to decrease between 2025 and 2031 by in total 2.7 percentage points. This overall decrease does not happen continuously, notably not in 2031. The market size change is estimated to amount to 16.32 percent in 2031. Find further information concerning the market size change in the 'Generative AI' segment of the artificial intelligence market in the United States and the number of AI tools users in the 'AI Tool Users' segment of the artificial intelligence market in the United States. The Statista Market Insights cover a broad range of additional markets.

The market size in the 'Computer Vision' segment of the artificial intelligence market in Spain was forecast to continuously increase between 2025 and 2031 by in total 527 million euro (+138.68 percent). After the ninth consecutive increasing year, the market size is estimated to reach 907.04 million euro and therefore a new peak in 2031. Find more key insights for the market size in countries and regions like the market size in the 'Computer Vision' segment of the artificial intelligence market in the world and the market size change in the 'Computer Vision' segment of the artificial intelligence market in the United States. The Statista Market Insights cover a broad range of additional markets.

In 2021, AI was most applied to BI and data analytics, computer vision, data exploration, and NLP in Poland.

Video + Annotation (X, Y, Z, α, β, γ)For additional details, please check the following article:Nuno Pessanha Santos, Vitor Lobo and Alexandre Bernardino, Unscented Particle Filters with Refinement Steps for UAV Pose Tracking in Journal of Intelligent and Robotic Systems 102, 52, 2021.DOI: https://doi.org/10.1007/s10846-021-01409-y

Diversity in Tech Statistics: In today's tech-driven world, discussions about diversity in the technology sector have gained significant traction. Recent statistics shed light on the disparities and opportunities within this industry. According to data from various sources, including reports from leading tech companies and diversity advocacy groups, the lack of diversity remains a prominent issue. For example, studies reveal that only 25% of computing jobs in the United States are held by women, while Black and Hispanic individuals make up just 9% of the tech workforce combined. Additionally, research indicates that LGBTQ+ individuals are underrepresented in tech, with only 2.3% of tech workers identifying as LGBTQ+. Despite these challenges, there are promising signs of progress. Companies are increasingly recognizing the importance of diversity and inclusion initiatives, with some allocating significant resources to address these issues. For instance, tech giants like Google and Microsoft have committed millions of USD to diversity programs aimed at recruiting and retaining underrepresented talent. As discussions surrounding diversity in tech continue to evolve, understanding the statistical landscape is crucial in fostering meaningful change and creating a more inclusive industry for all. Editor’s Choice In 2021, 7.9% of the US labor force was employed in technology. Women hold only 26.7% of tech employment, while men hold 73.3% of these positions. White Americans hold 62.5% of the positions in the US tech sector. Asian Americans account for 20% of jobs, Latinx Americans 8%, and Black Americans 7%. 83.3% of tech executives in the US are white. Black Americans comprised 14% of the population in 2019 but held only 7% of tech employment. For the same position, at the same business, and with the same experience, women in tech are typically paid 3% less than men. The high-tech sector employs more men (64% against 52%), Asian Americans (14% compared to 5.8%), and white people (68.5% versus 63.5%) compared to other industries. The tech industry is urged to prioritize inclusion when hiring, mentoring, and retaining employees to bridge the digital skills gap. Black professionals only account for 4% of all tech workers despite being 13% of the US workforce. Hispanic professionals hold just 8% of all STEM jobs despite being 17% of the national workforce. Only 22% of workers in tech are ethnic minorities. Gender diversity in tech is low, with just 26% of jobs in computer-related sectors occupied by women. Companies with diverse teams have higher profitability, with those in the top quartile for gender diversity being 25% more likely to have above-average profitability. Every month, the tech industry adds about 9,600 jobs to the U.S. economy. Between May 2009 and May 2015, over 800,000 net STEM jobs were added to the U.S. economy. STEM jobs are expected to grow by another 8.9% between 2015 and 2024. The percentage of black and Hispanic employees at major tech companies is very low, making up just one to three percent of the tech workforce. Tech hiring relies heavily on poaching and incentives, creating an unsustainable ecosystem ripe for disruption. Recruiters have a significant role in disrupting the hiring process to support diversity and inclusion. You May Also Like To Read Outsourcing Statistics Digital Transformation Statistics Internet of Things Statistics Computer Vision Statistics

Around 42.86 percent of respondents utilized computer vision in 2023, showing a substantial increase from 2021's 16.76 percent. Similarly, NLP experienced a notable rise from 18.5 in 2021 to 60 percent in 2023

Machine learning received 401 investments in the Chinese AI industry in 2021. Other popular artificial intelligence skills include computer vision, data mining, and natural language processing.

This statistic represents Cognex Corporation's revenue between the 2014 and 2021 fiscal years. In FY 2021, the American manufacturer of machine vision systems, software and sensors generated just over one billion U.S. dollars in revenue.

The global market size change in the 'Speech Recognition' segment of the artificial intelligence market was forecast to continuously decrease between 2025 and 2031 by in total 6.9 percentage points. According to this forecast, in 2031, the market size change will have decreased for the seventh consecutive year to 15.15 percent. Find more key insights for the market size change in countries and regions like the market size in the 'Computer Vision' segment of the artificial intelligence market in the world and the market size in the 'Facial Recognition' segment of the artificial intelligence market in the world. The Statista Market Insights cover a broad range of additional markets.

This statistic represents Cognex Corporation's total assets between the 2013 and the 2021 fiscal years. In FY 2021, the American manufacturer of machine vision systems, software and sensors held total assets amounting to around two billion U.S. dollars.

In 2023, an estimated 261 artificial intelligence (AI) publications in the field of computer vision were published in Israel. This represented a decline of almost 29 percent in publications on this topic from 2022. Overall, since a peak in 2021, AI scientific publications declined in the fields of computer vision, artificial neural networks, natural language processing and robotics.

In 2022, revenues from the global artificial intelligence market were expected to reach 433 billion U.S. dollars. The global AI market is forecast to see rapid growth in the coming years, reaching more than half a trillion U.S. dollars by 2023.

Artificial Intelligence Simply put, artificial intelligence (AI) is the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. In the case of AI, a great amount of data is often used to train AI into developing algorithms that enable these abilities. Different AI capabilities such as computer vision and conversational interfaces are embedded in many standard business processes in industries such as retail, finance, healthcare, and high tech.

AI Segments The AI market can be broken down into three segments: software, hardware, and services. The AI software segment is the largest of the three segments, bringing in the most revenue recently. The segment is comprised of AI applications, AI software platforms, and AI system infrastructure software sub-segments. Popular AI software vendors include companies such as IBM, Microsoft, SAS, and Google to name a few. The AI hardware market and the AI services market are smaller in size but have significant potential for growth in the coming years.

Funding for artificial intelligence companies in the United States has increased exponentially in recent years, growing from a little under 300 million U.S. dollars in 2011 to around 16.5 billion in 2019. Overall worldwide funding in AI startups amounted to approximately 26.6 billion U.S. dollars in the same year. Artificial intelligence refers to the creation of intelligent hardware or software able to replicate human behaviors such as learning and problem solving.

Machine learning applications most funded   

Companies focusing on machine learning applications are the most funded in the artificial intelligence (AI) market. Machine learning application companies raised 37 billion U.S. dollars in cumulative funding as of September 2019. Other well-funded AI categories include machine learning platforms as well as computer vision applications and platforms. Intel Capital is the leading AI investor with a total of 60 investments in AI companies as of April 2021. 500 Startups, NEA and Y Combinator also rank high in terms of AI investment deals.

In 2022, the global total corporate investment in artificial intelligence (AI) reached almost 92 billion U.S. dollars, a slight decrease from the previous year. In 2018, the yearly investment in AI saw a slight downturn, but that was only temporary. Private investments account for a bulk of total AI corporate investment. AI investment has increased more than sixfold since 2016, a staggering growth in any market. It is a testament to the importance of the development of AI around the world.

What is Artificial Intelligence (AI)?

Artificial intelligence, once the subject of people’s imaginations and the main plot of science fiction movies for decades, is no longer a piece of fiction, but rather commonplace in people’s daily lives whether they realize it or not. AI refers to the ability of a computer or machine to imitate the capacities of the human brain, which often learns from previous experiences to understand and respond to language, decisions, and problems. These AI capabilities, such as computer vision and conversational interfaces, have become embedded throughout various industries’ standard business processes.

AI investment and startups

The global AI market, valued at 142.3 billion U.S. dollars as of 2023, continues to grow driven by the influx of investments it receives. This is a rapidly growing market, looking to expand from billions to trillions of U.S. dollars in market size in the coming years. From 2020 to 2022, investment in startups globally, and in particular AI startups, increased by five billion U.S. dollars, nearly double its previous investments, with much of it coming from private capital from U.S. companies. The most recent top-funded AI businesses are all machine learning and chatbot companies, focusing on human interface with machines.

In 2023, the size of the Chinese AI market amounted to over 213 billion yuan. Since 2016, the market size has increased significantly. On the background of international competition, the Chinese government strived to make the country a leader in AI technology, designating the sector as a key industry of strategic importance. The foundation of AI To apply artificial intelligence in the real world, AI-sensors, AI-specific chipsets, and appropriate server infrastructure is required. Furthermore, software must be designed with algorithms that allow the AI to interact and perform tasks in the real world. Examples are natural language processing (NLP), computer vision, or robotics. Areas of application Artificial intelligence has seemingly unlimited application across all market segments. Currently, with around 50 percent of the market share, official city governance and operations accounts for the largest segment of the AI economy. In approximately 750 pilot cities, the Chinese government has been developing and testing smart city models.