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Early Adopters See Value in Computer Vision

Artificial Intelligence (AI) is rapidly shifting from being a differentiator to a business imperative. As organizations seek out impactful applications of AI, computer vision is a clear standout. Those that embrace the technology anticipate early benefits and accelerated ROI.

New research from Insight and IDG reveals key trends in perception, adoption and applications for computer vision across industries.

Computer vision: the use of machine learning to analyze, understand and respond to digital images or video. By applying learning algorithms to input from cameras, visual information can be processed and evaluated for patterns, allowing computers to recognize and respond to what they “see.”

The value of visibility is clear.

In a highly visual world, the ability to recognize and respond to everyday challenges in real time is essential. Organizations increasingly recognize the value of computer vision to transform processes, improve efficiency and drive new growth.

95%

of respondents believe computer vision has the potential to grow revenue and/or save their business time and money.

95%

of respondents believe computer vision has the potential to grow revenue and/or save their business time and money.

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IT leaders across industries report awareness of computer vision and an understanding of how the technology can improve specific outcomes. While most organizations remain in the early stages of adoption, momentum is shifting to widespread use.

10%

of organizations are actively using
computer vision today.

81%

report they are currently in the process of investigating or implementing the technology.

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A common case
for computer vision

Computer vision solutions can be developed and trained to execute a wide variety of tasks and mitigate an array of common business challenges — which vary by industry. But the most common intended use cases across the board include improving security and employee safety.

Improving security

Manufacturing

93%

Retail

74%

Healthcare

69%

Employee safety

Energy

88%

Transportation

74%

Among those investigating, planning to implement or actively using computer vision, 45% see opportunities for cost cutting and efficiency gains while another 45% cite the technology as a driver for innovation. Explore the full survey results for a more detailed breakdown of the motivations, use cases and obstacles to computer vision.

Get the survey results

Seeing is believing.

As organizations investigate the value and feasibility of implementing computer vision, time-to-ROI is a key consideration. While most (72%) expect to see a return on investment within two to three years, early adopters that have put computer vision into production are more likely to expect ROI within just one year.

Combatting concerns with support

With any new technology there are bound to be challenges or concerns inhibiting early investment. Organizations across industries reported several common obstacles.

Security, privacy and/or compliance

68%

Concerns about data overload

53%

Lack of knowledge or capacity to manage

52%

Time to recognize ROI

48%

Cost of technology

41%

More than half of those surveyed reported high confidence in the ability of their in-house teams to implement, operationalize and manage AI-based solutions like computer vision. However, they also indicated a high likelihood to leverage external consultants or solutions integrators to support their initiatives.

“As more organizations shift from investigating to investing in this technology, those that get ahead of the curve and put the technology into motion will capture ROI and gain a competitive edge.”

The early advantage

From assembly lines to store checkout lines, computer vision is poised to transform the way we live and work in the next decade.

While a small percentage of organizations have positioned themselves at the forefront of this trend, there is ample opportunity for other early adopters to capitalize on the benefits and secure an advantage with the technology.

Transforming your business for the future takes Insight.

Download the full whitepaper Explore our solutions

Early Adopters See Value in Computer Vision

Computer vision: the use of machine learning to analyze, understand and respond to digital images or video. By applying learning algorithms to input from cameras, visual information can be processed and evaluated for patterns, allowing computers to recognize and respond to what they “see.”

The value of visibility is clear.

In a highly visual world, the ability to recognize and respond to everyday challenges in real time is essential. Organizations increasingly recognize the value of computer vision to transform processes, improve efficiency and drive new growth.

95%

95%

IT leaders across industries report awareness of computer vision and an understanding of how the technology can improve specific outcomes. While most organizations remain in the early stages of adoption, momentum is shifting to widespread use.

10%

81%

A common case for computer vision

Computer vision solutions can be developed and trained to execute a wide variety of tasks and mitigate an array of common business challenges — which vary by industry. But the most common intended use cases across the board include improving security and employee safety.

Improving security

Employee safety

Seeing is believing.

Combatting concerns with support

With any new technology there are bound to be challenges or concerns inhibiting early investment. Organizations across industries reported several common obstacles.

“As more organizations shift from investigating to investing in this technology, those that get ahead of the curve and put the technology into motion will capture ROI and gain a competitive edge.”

The early advantage

From assembly lines to store checkout lines, computer vision is poised to transform the way we live and work in the next decade.

Transforming your business for the future takes Insight.

Get the whitepaper.

A common case
for computer vision