#Image Recognition Market

[industrynewsupdates]

Image Recognition Market Size, Share And Trends Analysis Report

The global image recognition market size is expected to reach USD 128.3 billion by 2030, registering a CAGR of 12.8% from 2024 to 2030, according to a new report by Grand View Research, Inc. Image processing and recognition have evolved with numerous powerful applications, such as security and surveillance, and medical imaging that have created a great value from a business perspective. Functions of figure identification, such as facial or object recognition, visual geolocation, barcode reading, and automated driver assistance, among other industrial automation-related functions, have demonstrated the versatility of this technology. When combined with AI, this technology has begun to create valuable growth opportunities in several verticals, such as gaming, social networking, and e-commerce. For instance, Twitter and Facebook, two major platforms in the world of social networking, have benefited from the technology in terms of audience engagement as they have created a more connected experience by encouraging users to share images and tag their friends.

The advent of digital cameras, particularly cameras built into smartphones, has led to an exponential growth in the volume of digital content in the form of images and videos. A vast amount of visual and digital data is being captured and shared through several applications, websites, social networks, and other digital channels. Several businesses have leveraged this online content to deliver better and smarter services to their customers, with the use of digital image processing. For instance, in October 2019, SnapPay Inc., a U.S. based payment platform provider, has launched facial recognition payment technology in the North America region. By using this thechnology in its payment solution, the company has aimed at allowing its customers a new level of convenience for payments at retail outlets.

Gather more insights about the market drivers, restrains and growth of the Image Recognition Market

Image Recognition Market Report Highlights

• Facial recognition dominated the market and accounted for the largest revenue share of 22.5% in 2023. The increasing demand for enhanced security measures across various industries, such as government, banking, and retail, has significantly contributed to the dominance of facial recognition systems.

• The service segment led the market and accounted for the largest revenue share of 39.1% in 2023. The service segment offers tailored image recognition solutions that can be customized to meet the specific needs of businesses across various industries.

• The cloud segment held the largest market revenue share of 71.6% in 2023. The rise in the cloud-based market is due to its greater use in industries needing centralized monitoring, such as BFSI, media, government, and entertainment.

• The retail & e-commerce segment dominated the market with a share of 21.0% in 2023. E-commerce websites prioritize content management to enhance their product offerings and boost sales.

• The marketing & advertising segment held the largest market share of 29.6% in 2023. Many businesses adopted technology with advanced advertising, customer interaction, and branding to improve their marketing activities.

• North America image recognition market dominated the global market and accounted for the largest revenue share of 34.0% in 2023. The rise in the market is due to the growing inclusion of AI and mobile computing in online shopping and e-commerce industries.

Image Recognition Market Segmentation

Grand View Research has segmented global image recognition market report based on, technique, component, deployment mode, vertical, application, and region:

Image Recognition Technique Outlook (Revenue, USD Million, 2018 - 2030)

• QR/ Barcode Recognition

• Object Recognition

• Facial Recognition

• Pattern Recognition

• Optical Character Recognition

Image Recognition Component Outlook (Revenue, USD Million, 2018 - 2030)

• Hardware

• Software

• Service

o Managed

o Professional

o Training, Support, and Maintenance

Image Recognition Deployment Mode Outlook (Revenue, USD Million, 2018 - 2030)

• Cloud

• On-Premises

Image Recognition Vertical Outlook (Revenue, USD Million, 2018 - 2030)

• Retail & E-commerce

• Media & Entertainment

• BFSI

• Automobile & Transportation

• Telecom & IT

• Government

• Healthcare

• Others

Image Recognition Application Outlook (Revenue, USD Million, 2018 - 2030)

• Augmented Reality

• Scanning & Imaging

• Security & Surveillance

• Marketing & Advertising

• Image Search

Image Recognition Regional Outlook (Revenue, USD Million, 2018 - 2030)

• North America

o U.S.

o Canada

o Mexico

• Europe

o UK

o Germany

o France

• Asia Pacific

o China

o India

o Japan

o Australia

o South Korea

• Latin America

o Brazil

• Middle East and Africa (MEA)

o Saudi Arabia

o South Africa

o UAE

Order a free sample PDF of the Image Recognition Market Intelligence Study, published by Grand View Research.

[ict-123]

The growing popularity of cloud media services and the increasing pace of technological advancements in facial recognition technology drive the growth of the global image recognition market.

[tbrcresearchreport]

The Business Research Company offers image recognition market research report 2023 with industry size, share, segments and market growth

[aarunresearcher]

United States image recognition market size reached USD 10.1 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 20.5 Billion by 2033, exhibiting a growth rate (CAGR) of 8.1% during ​2025-2033​. 

[marketresearchreportinsight]

Image Recognition Market 2030 Share, Revenue, Drivers, Trends and Influence Factors

The global image recognition market size was valued at USD 53.3 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 13.4% from 2024 to 2030. This growth is attributed to the increasing volumes of image data, advancements in artificial intelligence (AI) and machine learning (ML), and the growing demand for automation across various sectors are pivotal. In addition,…

[madhukumarc]

Explain the concept of branding and its importance in marketing

Branding refers to the process of creating a unique identity and image for a product or service in the minds of consumers.

It involves establishing a differentiated presence in the market to attract and retain customers.

“Branding is a promise of value that tells people why they should do business with a company” – MarTech

Branding Importance in Marketing:

1. Differentiation: Branding helps distinguish a product or service from its competitors, making it stand out in the market.

2. Trust and Credibility: A strong brand creates trust and credibility among consumers, leading to customer loyalty and a positive reputation.

3. Recognition: Effective branding increases brand recognition, making it easier for consumers to identify and choose the brand over others.

4. Emotional Connection: Brands can evoke emotions and create a connection with consumers, leading to long-term relationships and repeat business.

“All organizations, no matter how big or small, require branding to connect with their customers” – MarketingProfs

5. Financial Value: A well-established brand can command higher prices and generate greater revenue, contributing to the overall financial success of a business.

6. Consistency: Branding ensures consistency in messaging, design, and customer experience, fostering a coherent and unified brand image.

Image Source - HubSpot

In summary, branding is essential in marketing as it helps companies create and maintain a strong, positive identity that resonates with consumers and contributes to long-term success.

Here's related information that you may also find helpful - Consumer Branding vs Corporate Branding vs Product Branding

[medicaldevicesindustrynews]

Automatic Number Plate Recognition System Market To Have Faster Growth in the Software Category

The automatic number plate recognition system market is USD 3,219.9 million in 2023, and will increase to USD 6,010.8 million by 2030, at a rate of 9.5% by the end of this decade. This is because of the increasing use by agencies, such as parking, police force, toll plaza, and traffic management; the growing trend for pay-per-use roads; the evolving automotive industry; the high capital fundings…

[jeffsperandeo]

The AI Apocalypse is Here: How to Survive When Machines Can See and Hear!

By Jeff Sperandeo As someone who’s spent years capturing stories through visuals and sounds, the recent announcement by OpenAI about ChatGPT going multi-modal struck a chord with me. The integration of voice and image capabilities into this conversational AI model is not just fascinating; it’s revolutionary. However, it’s clear that this leap forward in technology won’t come without its share of…

[mysticalpersonakingdom]

AI Image Recognition Market

[astrologydray]

Ruler of the 10th through the houses

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

the ruler of the 10th house through the houses reveals how you chase success, legacy, visibility, and your “big life purpose.”So when we trace the ruler of your 10th house, we see how and where you rise — your path to becoming known, respected, and remembered.

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

10th House Ruler in the 1st House

You are the brand.

Your identity and presence are your career. You’re meant to be seen, known, and admired for being authentically you. People naturally look to you as a leader. Public image: Confident, bold, self-made. Career calling: Personal branding, influencer, leadership. “My name is my legacy.”

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

10th House Ruler in the 2nd House

You build your legacy through value.

Your work is tied to money, security, and your self-worth. You’re meant to create something lasting and profitable — whether through art, business, or slow, solid success. Public image: Reliable, successful, grounded. Career calling: Entrepreneurship, beauty, finance, resources. “I earn my legacy.”

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

10th House Ruler in the 3rd House

Your voice is your path.

You’re known for how you speak, write, or connect. You may find success through content creation, teaching, writing, media, or tech. Movement, flexibility, and messaging are key. Public image: Clever, informed, articulate. Career calling: Writing, communications, marketing, social media. “My message is my mission.”

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

10th House Ruler in the 4th House

You rise from your roots.

Your legacy is built from your past, family, or emotional story. You may be known for healing, nurturing, real estate, or helping others feel safe. You want to be known and deeply grounded. Public image: Empathic, homey, deep. Career calling: Counseling, healing, home-based work, heritage work.“My past shaped my purpose.”

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

10th House Ruler in the 5th House

You shine through creativity.

You’re known for your art, presence, charisma, or performance. You may gain recognition through entertainment, children’s work, design, or self-expression. Public image: Charismatic, magnetic, artistic. Career calling: Acting, fashion, content, teaching youth, love + art. “I create my legacy with flair.”

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

10th House Ruler in the 6th House

You rise through service.

Your work may feel humble — but it’s sacred. You’re recognized for being reliable, helpful, organized, or health-conscious. You may work in wellness, routines, or healing fields. Public image: Helpful, hardworking, healing Career calling: Medicine, therapy, systems, admin, animal care. “I serve my purpose daily.”

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

10th House Ruler in the 7th House

You’re known through your relationships.

You may be seen publicly with a partner, or your career may involve clients, law, beauty, or partnerships. You’re here to collaborate and be seen as a fair leader. Public image: Diplomatic, beautiful, relationship-focused. Career calling: Law, counseling, PR, design, client-based success. “We rise together.”

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

10th House Ruler in the 8th House

You rise from the shadows.

You’re known for transformation — healing, mystery, power, taboo topics. You may work with money, sexuality, trauma, or deep emotional truths. You’re a secret weapon. Public image: Intense, mysterious, powerful. Career calling: Psychology, finance, spiritual work, sex ed, alchemy. “My legacy is rebirth.”

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

10th House Ruler in the 9th House

You’re known for your wisdom.

You gain recognition through teaching, travel, philosophy, or spirituality. People see you as a guide, mentor, or someone with a visionary mind. You’re here to expand consciousness. Public image: Worldly, inspiring, intelligent. Career calling: Teaching, publishing, law, religion, coaching. “I lead through truth.”

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

10th House Ruler in the 10th House

Boss energy on 100.

You were born to be seen, respected, and in charge. You’re clear on your path and probably rise early in life. Your authority is part of your soul contract. Public image: Professional, respected, unstoppable. Career calling: CEO, leader, public figure, status-based roles. “Legacy is my birthright.”

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

10th House Ruler in the 11th House

You rise with the people.

Your success comes through community, tech, activism, or online spaces. You’re a changemaker, futurist, or innovator who’s meant to impact the collective. Public image: Visionary, rebellious, forward-thinking. Career calling: Tech, media, social work, entrepreneurship, online fame. “I rise when I lift others.”

⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️

10th House Ruler in the 12th House

Your purpose is sacred + spiritual.

You may work behind the scenes, in healing arts, film, or with vulnerable populations. Your legacy is dreamy, ethereal, and emotionally rich — not always tied to status or fame. Public image: Mystical, poetic, soulful. Career calling: Music, healing, nonprofits, spiritual work, film. “My purpose lives in the unseen.”

[industrynewsupdates]

Image Recognition Market Size, Trends, and Business Outlook 2024-2030

The global image recognition market size was valued at USD 53.3 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 12.8% from 2024 to 2030. 

This growth is attributed to the increasing volumes of image data, advancements in artificial intelligence (AI) and machine learning (ML), and the growing demand for automation across various sectors are pivotal. In addition, the integration of image recognition in applications such as healthcare, retail, and security enhances operational efficiency and customer engagement. Furthermore, the rise of edge computing and mobile solutions further supports market expansion.

Gather more insights about the market drivers, restrains and growth of the Image Recognition Market 

Image recognition technology, powered by machine learning, has been embedded in several fields, such as self-driving vehicles, automated image organization of visual websites, and face identification on social networking websites. One of the most popular applications of image identification is social media monitoring, as visual listening and visual analytics are essential factors of digital marketing. Image recognition is highly used in applications related to safety and security, such as facial recognition used by law enforcement agencies. Furthermore, airports are increasingly using face remembrance technology at security checkpoints.

The growing popularity of high-bandwidth data services and advanced machine learning has led to a higher demand for image recognition technology among people. Establishments in different sectors such as media & entertainment, retail, IT & telecom, and Banking, Financial Services, and Insurance (BFSI) have led to the growing utilization of advanced technologies within their companies, consequently driving the acceptance of image recognition. The system for image recognition assists in recognizing objects, buildings, locations, logos, individuals, and other images. Moreover, advances in image recognition tech enable connecting offline materials such as brochures and magazines with promotional videos, AR experiences, and product details using images from a smartphone.

In addition, an automated system for recognizing images is essential in computer vision, as it can pinpoint an image or attribute within digital photos and videos. It allows users to collect and analyze data in real-time. Information is gathered in complex dimensions and results in numerical or symbolic data. Computer vision, an image recognition component, allows for object recognition, event detection, image reconstruction, learning, and video tracking tasks. Image recognition technology has seen various opportunities arise in areas such as big data analysis and successful branding of products and services, thanks to the expanding use of image databases.

Furthermore, since the database serves as the training material for image recognition solutions, open-source frameworks such as software libraries and software tools form the building blocks of the solution. These frameworks help prepare or train machines to learn from the images available in the database by providing different types of computer vision functions, such as medical screening, obstacle detection in vehicles, and emotion and facial recognition, among others. Some of the leading libraries for image recognition include UC Berkeley's Caffe, Google Tensor Flow, and Torch.

Image Recognition Market Segmentation

Grand View Research has segmented the image recognition market report based on, technique, component, deployment mode, vertical, application, and region.

Technique Outlook (Revenue, USD Million, 2018 - 2030)

• QR/ Barcode Recognition

• Object Recognition

• Facial Recognition

• Pattern Recognition

• Optical Character Recognition

Component Outlook (Revenue, USD Million, 2018 - 2030)

• Hardware

• Software

• Service

• Managed

• Professional

• Training, Support, and Maintenance

Deployment Mode Outlook (Revenue, USD Million, 2018 - 2030)

• Cloud

• On-Premises

Vertical Outlook (Revenue, USD Million, 2018 - 2030)

• Retail & E-commerce

• Media & Entertainment

• BFSI

• Automobile & Transportation

• Telecom & IT

• Government

• Healthcare

• Others

Application Outlook (Revenue, USD Million, 2018 - 2030)

• Augmented Reality

• Scanning & Imaging

• Security & Surveillance

• Marketing & Advertising

• Image Search

Regional Outlook (Revenue, USD Million, 2018 - 2030)

• North America

o U.S.

o Canada

o Mexico

• Europe

o UK

o Germany

o France

• Asia Pacific

o China

o India

o Japan

o Australia

o South Korea

• Latin America

o Brazil

• Middle East and Africa (MEA)

o Saudi Arabia

o South Africa

o UAE

Browse through Grand View Research's Next Generation Technologies Industry Research Reports.

• The global video management software market was valued at USD 9.69 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 19.5% from 2024 to 2030. 

• The global 3D Scanning market was valued at USD 3.95 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 9.8% from 2024 to 2030.

Key Companies And Market Share Insights

Some key companies in the image recognition market include Attrasoft, Inc., Blinkfire Analytics, Inc., Kairos AR, Inc., Catchroom, Chooch., Cloudsight, Inc., Google, GumGum, Inc., Hitachi, Ltd.; and others that focus on development with continuous innovations and enhancements.

• Blinkfire Analytics, Inc. specializes in AI-powered visual content analysis for sports, media, and entertainment industries. Blinkfire's proprietary platform uses computer vision and machine learning algorithms to automatically detect, track, and analyze brand exposures, logos, and sponsorships within images and videos, providing valuable insights for brands, teams, and leagues. The company's offerings include sponsorship valuation, brand monitoring, and audience engagement metrics, enabling clients to measure the effectiveness of their marketing efforts and optimize their sponsorship strategies.

• Kairos AR, Inc. provides facial recognition and image analysis solutions, offering products and services that leverage artificial intelligence and machine learning to deliver accurate and efficient image recognition capabilities. Kairos' flagship platform, Kairos Face Recognition, provides real-time facial recognition, identification, and verification, with security, access control, and customer experience applications. The company's other offerings include Kairos Demographics, which analyzes age, gender, and emotions, and Kairos Emotions, which detects and interprets emotional responses. Kairos' solutions are used across various industries, including healthcare, finance, and retail, and are designed to integrate with existing systems and infrastructure, enabling seamless deployment and scalability.

Key Image Recognition Companies:

The following are the leading companies in the image recognition market. These companies collectively hold the largest market share and dictate industry trends. 

• Attrasoft, Inc.

• Blinkfire Analytics, Inc.

• Catchroom

• Chooch.

• Cloudsight, Inc.

• Google

• GumGum, Inc.

• Hitachi, Ltd.

• Honeywell International Inc.

• Kairos AR, Inc.

• LTU Tech

• NEC Corporation

• Qualcomm Technologies, Inc.

• DEEPSIGNALS

• Calrifai, Inc.

• Wikitude, a Qualcomm company

Recent Developments

• In April 2023, Chooch launched ImageChat, a solution that enables enterprises to create detailed computer vision models using text prompts. Trained on over 11 billion parameters and 400 million images, ImageChat can identify more than 40 million visual details. This innovative tool offered users to generate captions and keywords for images and videos and interact with visual content to gain deeper insights. Combining AI Vision with large language models, ImageChat enhances data reliability and accuracy, making it ideal for object detection and detailed reasoning applications.

Order a free sample PDF of the Image Recognition Market Intelligence Study, published by Grand View Research.

[ict-123]

The cloud segment captured 55.9% of the total market share in 2017 and would maintain its dominance through the forecast period, owing to increased adoption of cloud in various industry verticals such as media & entertainment, banking, financial services, and insurance (BFSI), and government organizations. The segment is expected to grow at the fastest CAGR of 23.3% through 2025. On the other hand, the on-premise segment would grow at a steady pace during the forecast period.

[pukefactory]

Okay I’ve gotten way to much back into ENA and I had an idea of Ena from dream bbq with reader were the reader speaks a whole new language and Ena takes time to learn and understand this new language just to feel closer to reader. I’m not sure if it should go romantically or more platonically lol

I more just wanted to put my thoughts out there! Thank u if u do write for this! Have a good week <3

•☽────✧˖°˖ SOMEONE WROTE THIS SONG BEFORE ˖°˖✧────☾•

★ Summary: A Compilation of Headcannons Featuring Salesperson Ena X Reader Who Speaks An Unknown Language

★ Character(s): Salesperson Ena (ENA: Dream BBQ)

★ Genre: Headcannons, SFW

★ Warning(s): None - Completely Safe!

★ Image Credits: @JoelG

☆ Salesperson Ena was immediately fascinated when she realized you spoke an entirely unfamiliar language. “A rare commodity! A unique dialect with limited market exposure! Tell me—what’s the valuation on fluency?” She started taking notes right away, promising to invest time into learning.

☆ “WHY CAN’T I UNDERSTAND A SINGLE THING YOU’RE SAYING?! WHAT ARE YOU, SOME KIND OF ORACLE?! SOME COSMIC JESTER?! A MESSENGER OF GØD WHO WON’T JUST SPIT IT OUT?!” While her Salesperson side was taking a structured, strategic approach, Meanie Ena was screaming into a dictionary, shaking it like the words inside might rearrange themselves into something she could grasp.

☆ Ena’s learning methods were… questionable. At one point, she tried to absorb your language through osmosis, pressing her forehead against yours while mumbling, “Downloading linguistic data… recalibrating neurons… okay, that’s not working.” Then she switched to frantically gesturing at objects and waiting for you to name them.

☆ One day, Ena decided to fully commit. She put on a little presentation, flipping through a self-made slideshow. “Ladies and gentlemen of the universe, I present to you—MY NEW LANGUAGE ACQUISITION BUSINESS PLAN. Featuring: memorization! Pattern recognition! And my personal favorite—aggressive trial and error!” She even had graphs, though they didn’t make any sense.

☆ As she improved, Ena started offering (unwanted) translations to everyone in her bizarre world. “WORRY NOT, CITIZENS! I HAVE DECODED THE ENIGMA THAT IS MY PAL’S SPEECH!” She would then proceed to provide the most inaccurate translations imaginable. “They just said… ‘All business transactions should be made in good faith!’ See? Deep philosophy!” (You had actually just asked for a snack.)

☆ There was a moment—rare, fleeting—when Meanie Ena stopped shouting and just sat in quiet contemplation. “You… really spent time teaching me,” she murmured, her voice uncharacteristically soft. “That’s… nice, I guess. Ugh, shut up, I didn’t say anything sappy!” (She totally did.)

☆ Ena started mixing your language with her usual speech patterns, much to the horror of those around her. “DEAR CUSTOMER, LET ME OFFER YOU A ONCE-IN-A-LIFETIME DEAL ON—” she suddenly switched mid-sentence into a phrase in your language that made zero sense contextually. Even she looked confused. “…Wait. Did I just say ‘fermented pancake’ instead of ‘investment opportunity’? Oh dear.”

☆ One day, she threw you a curveball. “Now it’s YOUR turn!” Ena decided you had to learn her speech patterns in return. Suddenly, you were being quizzed on sales jargon and cryptic Meanie Ena-isms. “QUICK! WHAT’S THE CORRECT RESPONSE TO ‘SPONSOR MY BUSINESS’?” (…There was no correct response. Only suffering.)

☆ Once Ena became confident, she started using your language for private jokes and secret commentary. If someone was annoying her, she’d lean over and mutter something in your dialect that made you stifle a laugh. “Ugh, what did she just say?!” a bystander demanded. Ena grinned. “Oh, nothing. Just business talk!”

☆ Finally, after who-knows-how-long, Ena approached you with something clutched tightly in her hands. “TA-DA! My final product!” It was a handwritten letter, completely in your language. The grammar was awful, the spelling was questionable, but the message was clear: “Thank you for being my friend. I hope we can talk like this forever.”

[aarunresearcher]

United States image recognition market size reached USD 10.1 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 20.5 Billion by 2033, exhibiting a growth rate (CAGR) of 8.1% during ​2025-2033​. The increasing development of sophisticated algorithms, particularly deep learning models, which has significantly improved the accuracy and performance of image recognition systems, is driving the market.

[bi-writes]

whats wrong with ai?? genuinely curious <3

okay let's break it down. i'm an engineer, so i'm going to come at you from a perspective that may be different than someone else's.

i don't hate ai in every aspect. in theory, there are a lot of instances where, in fact, ai can help us do things a lot better without. here's a few examples:

ai detecting cancer

ai sorting recycling

some practical housekeeping that gemini (google ai) can do

all of the above examples are ways in which ai works with humans to do things in parallel with us. it's not overstepping--it's sorting, using pixels at a micro-level to detect abnormalities that we as humans can not, fixing a list. these are all really small, helpful ways that ai can work with us.

everything else about ai works against us. in general, ai is a huge consumer of natural resources. every prompt that you put into character.ai, chatgpt? this wastes water + energy. it's not free. a machine somewhere in the world has to swallow your prompt, call on a model to feed data into it and process more data, and then has to generate an answer for you all in a relatively short amount of time.

that is crazy expensive. someone is paying for that, and if it isn't you with your own money, it's the strain on the power grid, the water that cools the computers, the A/C that cools the data centers. and you aren't the only person using ai. chatgpt alone gets millions of users every single day, with probably thousands of prompts per second, so multiply your personal consumption by millions, and you can start to see how the picture is becoming overwhelming.

that is energy consumption alone. we haven't even talked about how problematic ai is ethically. there is currently no regulation in the united states about how ai should be developed, deployed, or used.

what does this mean for you?

it means that anything you post online is subject to data mining by an ai model (because why would they need to ask if there's no laws to stop them? wtf does it matter what it means to you to some idiot software engineer in the back room of an office making 3x your salary?). oh, that little fic you posted to wattpad that got a lot of attention? well now it's being used to teach ai how to write. oh, that sketch you made using adobe that you want to sell? adobe didn't tell you that anything you save to the cloud is now subject to being used for their ai models, so now your art is being replicated to generate ai images in photoshop, without crediting you (they have since said they don't do this...but privacy policies were never made to be human-readable, and i can't imagine they are the only company to sneakily try this). oh, your apartment just installed a new system that will use facial recognition to let their residents inside? oh, they didn't train their model with anyone but white people, so now all the black people living in that apartment building can't get into their homes. oh, you want to apply for a new job? the ai model that scans resumes learned from historical data that more men work that role than women (so the model basically thinks men are better than women), so now your resume is getting thrown out because you're a woman.

ai learns from data. and data is flawed. data is human. and as humans, we are racist, homophobic, misogynistic, transphobic, divided. so the ai models we train will learn from this. ai learns from people's creative works--their personal and artistic property. and now it's scrambling them all up to spit out generated images and written works that no one would ever want to read (because it's no longer a labor of love), and they're using that to make money. they're profiting off of people, and there's no one to stop them. they're also using generated images as marketing tools, to trick idiots on facebook, to make it so hard to be media literate that we have to question every single thing we see because now we don't know what's real and what's not.

the problem with ai is that it's doing more harm than good. and we as a society aren't doing our due diligence to understand the unintended consequences of it all. we aren't angry enough. we're too scared of stifling innovation that we're letting it regulate itself (aka letting companies decide), which has never been a good idea. we see it do one cool thing, and somehow that makes up for all the rest of the bullshit?