New Jersey, US State: “The global Artificial Intelligence For Video Surveillance market in the Information Technology and Telecom category is projected to reach USD 16.8 billion by 2031, growing at a CAGR of 11% from 2025 to 2031. With rising industrial adoption and continuous innovation in Information Technology and Telecom applications, the market is estimated to hit USD 6.5 billion in 2024, highlighting strong growth potential throughout the forecast period.”

Artificial Intelligence For Video Surveillance Market Size & Forecast 2033

The artificial intelligence for video surveillance market is expected to grow substantially by 2033, supported by rising demand for advanced security and monitoring solutions. AI-powered systems enhance surveillance by enabling real-time analytics, facial recognition, anomaly detection, and automated alerts. Increasing urbanization, smart city projects, and security concerns in public and private sectors are key drivers of adoption worldwide.

Technological innovations integrating AI with cloud storage, IoT devices, and edge computing are improving accuracy and scalability of surveillance systems. Vendors are focusing on developing customizable platforms for industries such as retail, transportation, and critical infrastructure. The emphasis on proactive threat detection and regulatory compliance is further boosting demand. By 2033, the AI for video surveillance market is forecast to reach robust global valuation, driven by continuous innovation and expanding applications across diverse sectors.

Key Players in the Artificial Intelligence For Video Surveillance Market

Hikvision

Dahua

Huawei

Cisco Meraki

Hanwha

ZTE

Honeywell Security

Simshine Intelligent Technology Co. Ltd.

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Factors Supporting Growth of Artificial Intelligence For Video Surveillance Market in the Future:

1.Technological Advancements and Innovation:

The continuous evolution of technology is playing a vital role in driving the Artificial Intelligence For Video Surveillance market forward. Cutting-edge innovations are improving product functionality, enhancing performance, and reducing costs, making these solutions more accessible to a broader range of industries. Emerging technologies such as AI, IoT, advanced analytics, and automation are also enabling smarter and more efficient use cases, further expanding the scope of the market. These advancements are not only upgrading existing systems but are also creating entirely new application opportunities that will support long-term market expansion.

2. Expanding Applications Across End-Use Sectors:

The increasing integration of Artificial Intelligence For Video Surveillance solutions across diverse industries such as automotive, healthcare, consumer electronics, telecom, and industrial manufacturing is significantly boosting market demand. Each sector brings unique requirements, pushing companies to diversify their offerings and customize solutions. This cross-industry relevance ensures consistent demand growth, while rising digitalization and adoption of smart technologies amplify the market potential across both developed and developing regions.

3. Favorable Government Policies and Infrastructure Push:

Supportive initiatives by governments around the world, including funding programs, tax incentives, and policy frameworks, are providing a strong foundation for market development. Efforts to strengthen digital infrastructure, promote energy efficiency, and drive sustainable development are fueling demand for advanced Artificial Intelligence For Video Surveillance technologies. Moreover, public-private partnerships and national transformation agendas such as smart cities and Industry 4.0 are creating favorable conditions for rapid market expansion, especially in emerging economies

4. Increased Investment and Focus on Research & Development:

The Artificial Intelligence For Video Surveillance market is experiencing a surge in investment from both private and public entities, driven by the urgency to innovate and stay competitive. Companies are dedicating substantial resources to research and development to create next-generation products with higher efficiency, scalability, and environmental sustainability. Venture capital funding, mergers, acquisitions, and collaborations are also contributing to a dynamic ecosystem that fosters experimentation and accelerates commercialization of novel solutions, ensuring sustained market growth in the future.

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Key Segments Covered in Our Report: Artificial Intelligence For Video Surveillance Industry

Artificial Intelligence For Video Surveillance Market by Type

Software

Hardware

Artificial Intelligence For Video Surveillance Market by Application

Public & Government Infrastructure

Commercial

Residential

The Application segment showcases the industries and sectors that use Artificial Intelligence For Video Surveillance products for example Artificial Intelligence For Video Surveillance targeting healthcare and automotive industries etc. It also provides a perspective of the market rate of acceptance, usage of the products, and new applications that are paving the way for the future of the market.

Global Artificial Intelligence For Video Surveillance Market Regional Analysis

The Global Artificial Intelligence For Video Surveillance Market is examined in dimensions of regions, wherein each region has its own market growth, trends as well as dynamics. This section highlights on the detailed market performance, major shifts, and trends and underlying factors explaining growth in different places around the world.

North America: North America accounts for a large share of the Artificial Intelligence For Video Surveillance market which is a result of the developed technology, intense consumer market, and huge investments in the Artificial Intelligence For Video Surveillance industry. To add, the U.S. market also plays a crucial role as this economy is more concerned with innovation and was also one of the first to implement Artificial Intelligence For Video Surveillance products in its Artificial Intelligence For Video Surveillance sectors. The region is expected to see a gradual rise till 2031 and this is because of its reinforced infrastructure and existing regulation mechanisms.

Europe: Global has the fastest growing Artificial Intelligence For Video Surveillance market and is oriented around environmental protection, renewed efforts and environmental awareness. The market is dominated by countries like Germany, the UK, and France that have improved their technologies and have a strong industrial structure. Increased request for green solutions along with regulatory efforts are increasing demand in the market’s key areas such as Artificial Intelligence For Video Surveillance sectors.

Asia-Pacific: The growth potential in the Artificial Intelligence For Video Surveillance market is expected to be maximum for Asia-Pacific region. Increased maturation, urban migration as well as expanding middle class in China, India, and Japan and other developing economies are great constituents of market growth. Further, there is an increasing contribution to investments in the Artificial Intelligence For Video Surveillance sector which is increasing the demand for Artificial Intelligence For Video Surveillance regions-supplying throughout the area.

Rest of the World: Countries and areas like Latin America, Middle East & Africa have also been showing moderate Artificial Intelligence For Video Surveillance market growth. Although still developing, these markets are fueled by a fast increasing infrastructure, expending industrial activities and growing consumer demand for Artificial Intelligence For Video Surveillance goods. These regions pose great opportunities for the market players to tap into other sources of growth.

Frequently Asked Questions (FAQ) – Artificial Intelligence For Video Surveillance Market

Q1: What is the anticipated growth rate of the Global Artificial Intelligence For Video Surveillance Market?

A1: With a growth rate of CAGR of 11%, the Global Artificial Intelligence For Video Surveillance Market is anticipated to reach USD 16.8 billion by 2031. Industrial demand and innovation will lead it to reach USD 6.5 billion by 2024.

Q2: Which regions provide the highest growth opportunities for the Artificial Intelligence For Video Surveillance Market?

A2: Asia-Pacific is likely to provide the highest growth prospects based on speedy industrialization and infrastructure growth, followed by robust markets in Europe and North America.

Q3: Which are the primary drivers of market growth?

A3: The primary drivers are technology innovation, growing industrial applications, heightened government initiatives, and expanding use of Artificial Intelligence For Video Surveillance solutions in different industries.

Q4: What are the challenges faced by the Artificial Intelligence For Video Surveillance Market?

A4: The challenges are tight regulatory systems, high upfront capital expenditures, fragmentation of the market in the emerging markets, and geopolitical risks in some regions.

Q5: Which are the major players in the Global Artificial Intelligence For Video Surveillance Market?

A5: The market has a number of leading players with a focus on innovation, strategic alliances, and global expansion.

Q6: How does innovation influence the Artificial Intelligence For Video Surveillance Market?

A6: Market growth is driven by innovation, which enhances product efficiency, lowers costs, and facilitates new applications, making the overall market potential broader.

Q7: Which industries utilize Artificial Intelligence For Video Surveillance products mostly?

A7: Major industries include manufacturing, automotive, energy, electronics, and infrastructure, among others, where Artificial Intelligence For Video Surveillance solutions deliver operational efficiency and sustainability.

Q8: How is the market anticipated to change after 2031?

A8: Although projections beyond 2031 are uncertain, continued technological advancement and increasing industrial demand are expected to continue supporting long-run growth patterns.

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Family physician Dr. Danielle Martin doesn’t mince words about artificial intelligence. 

“I don’t think patients should use ChatGPT for medical advice. Period,” said Martin, chair of the University of Toronto’s department of family and community medicine. 

Still, with roughly 6.5 million Canadians without a primary care provider, she acknowledges that physicians can’t stop patients from turning to chatbots powered by large language models (LLMs) for health answers. 

Martin isn’t alone in her concerns. Physician groups like the Ontario Medical Association and research from institutions like the Sunnybrook Health Science Centre all caution patients against relying on AI for medical advice. 

A 2025 study comparing 10 popular chatbots, including ChatGPT, DeepSeek and Claude, found “a strong bias in many widely used LLMs towards overgeneralizing scientific conclusions, posing a significant risk of large-scale misinterpretations of research findings.”

Martin and other experts believe most patients would be better served by using telehealth options available across Canada, such as dialling 811 in most provinces.

But she also told The Dose host Dr. Brian Goldman that if they do choose to use chatbots, they can help reduce the risk of harm by avoiding open-ended questions and restricting AI-generated answers to credible sources.

Learning to ask the right questions

Unlike traditional search engines that provide users with links to reputable sources to answer questions, chatbots like Gemini, Claude and ChatGPT generate their own answers to users’ questions, based on existing databases of information.

Martin says a key challenge is figuring out how much of an AI-generated answer to a medical question is or isn’t essential information.

If you ask a chatbot something like, “I have a red rash on my leg, what could it be?” you could be given a “dump of information” which can do more harm than good.

“My concern is that the average busy person isn’t going to be able to read and process all of that information,” she said.

What’s more, if a patient asks “What do I need to know about lupus?”, for example, they “probably don’t know enough yet about lupus to be able to screen out or recognize the stuff that actually doesn’t make sense,” said Martin.

Martin says patients are more often better-served by asking them for help finding reliable sources, like official government websites. 

Instead of asking, “Should I get this year’s flu shot?” a better question would be, “What are the most reliable websites to learn more about this year’s flu shot?”

Be careful following treatment advice

Martin says that patients shouldn’t rely on solutions recommended by AI — like purchasing topical creams for rashes — without consulting a medical expert. 

In the case of symptoms like rashes which may have many possible causes, Martin instead recommends speaking to a health-care worker and to not ask an AI at all. 

Some people might also worry that an AI chatbot might talk patients out of consulting real-life physicians, but family physician Dr. Onil Bhattacharry says it’s not as likely as some may fear.

“Generally the tools are … slightly risk-averse, so they might push you to more likely seek care than not,” said Bhattacharrya, director of Women’s College Hospital’s institute for health system solutions and virtual care. 

Bhattacharrya is interested in how technology can support clinical care, and says artificial intelligence could be a way to democratize access to medical expertise. 

He uses tools like OpenEvidence which compiles information from medical journals and gives answers that are accessible to most health professionals.

WATCH | How doctors are using AI in the exam room — and why it could become the norm: 

How doctors are using AI in the exam room — and why it could become the norm

The Quebec government says it’s launching a pilot project involving artificial intelligence transcription tools for health-care professionals, with an increasing number saying they cut down the time they spend filling paperwork.

Still, Bhattacharrya recognizes that it can be more challenging for patients to determine the reliability of medical advice from an AI.

“As a doctor, I can critically appraise that information,” but it isn’t always easy for patients to do the same, he said.

Bhattacharrya also said chatbots can suggest treatment options that are available in some countries but not Canada, since many of them draw from American medical literature.

Despite her hesitations, Martin acknowledges there are some things an AI can do better than human physicians — like recalling a long list of possible conditions associated with a symptom. 

“On a good day, we’re best at identifying the things that are common and the things that are dangerous,” she said. 

“I would imagine that if you were to ask the bot, ‘What are all of the possible causes of low platelets?’ or whatever, it would probably include six things on the list that I have forgotten about because I haven’t seen or heard about them since third year medical school.”

Can patients with chronic conditions benefit from AI?

For his part, Bhattacharrya also sees AI as a way to empower people to improve their health literacy. 

A chatbot can help patients with chronic conditions looking for general information in simple language, though he cautions against “exploring nonspecific symptoms and their implications.”

WATCH | People are turning to AI chatbots for emotional support: 

People are turning to AI chatbots for emotional support

Warning: Mention of suicide and self-harm. Millions of people, especially teens, are finding companionship and emotional support in using AI chatbots, according to a kids digital safety non-profit. But health and technology experts say artificial intelligence isn’t properly designed for these scenarios and could do more harm than good.

“In primary care we see a large number of people with nonspecific symptoms,” he said. 

“I have not tested this, but I suspect the chatbots are not great at saying ‘I don’t know what is causing this but let’s just monitor it and see what happens.’ That’s what we say as family doctors much of the time.”

🕯️ This is very personal.

An AI company reached out to me recently with an interesting offer. They’d take the photos, videos and voice recordings I have of my mom and use them to create an AI version of her. Not a slideshow or tribute video. Something interactive. When they were done, I could talk to my AI mom and have it talk back to me.

My mom passed away after a five-year battle with pancreatic cancer on Sept. 19, 2021. I say a prayer for her every morning when I wake up, and for my father, too. I know they’re reunited in heaven. 

That photo above is my college graduation. I love that my parents are holding hands. As a prank, they brought me an AT&T T-shirt and balloon because I was interviewing for a job. Now you know it’s in my blood.

After my father died, my mother moved in with me when I was 27, and we became more sisters than anything else. When Barry asked me to marry him, I said, “You do know that Mom and I come as a set.”  

I miss her every day. My heart still aches. I’m pushing back tears now writing this. I talk to her like she’s in the room, sometimes pointing out a great sunset or telling her she was right about the throw pillows. There really are too many on the couch.

🧠 A memory or a machine?

The idea of hearing her voice again feels comforting and frightening at the same time. Could I sit across from a screen and listen to her give advice or make me laugh with her great one-liners? Would it feel like a gift or a ghost?

This isn’t sci-fi. It’s real, right now. 

These digital recreations, often called “deathbots,” use artificial intelligence trained on someone’s personal data to bring them back in a virtual form. Through them, some families talk to parents, spouses, even children who are no longer here. 

In one case, a journalist interviewed an AI recreation of a school shooting victim. In China, companies offer this service as part of the grieving process.

🧬 The rise of generative ghosts

The tech behind this is evolving fast. Google researchers are working on “generative ghosts.” These aren’t just replicas. They are digital stand-ins that can learn, grow and even make decisions on someone’s behalf. 

Think about an AI version of your grandmother telling you what it was like to start a window washing business in NYC when she only spoke Ukrainian (mine did). Or a digital parent reading bedtime stories to the grandkids he never met.

⚖️ Crossing the line?

Some say it brings closure. Others say it crosses a line.

Therapists warn this could complicate grief. That people might hold on too tightly. These bots can create idealized versions of loved ones and blur the line between memory and reality.

And what about consent? If someone didn’t explicitly say yes to being turned into a bot, should it happen? Only a handful of states have laws that protect your image or voice after death. In most places, it’s a gray area.

I’m still sitting with the offer. I certainly have everything they’d need. Videos. Voicemails. Photos. A lot of audio of me interviewing her on my show. 

💭 So … would you?

Should I? If you had the chance to hear the voice of someone you’ve lost, even if it wasn’t really them, would you want to? Or is it better to let those memories stay just that? I can talk myself into either place.

When you rate this newsletter at the end, tell me. I’d really like to know. If you’d like to come on my show and talk about it with me, be sure to leave your email address. I’d love that.

Tags: AI (artificial intelligence), Google, mother, tech, video