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Hindustan Times
2 days ago
- Science
- Hindustan Times
The High-Schoolers Who Just Beat the World's Smartest AI Models
The smartest AI models ever made just went to the most prestigious competition for young mathematicians and managed to achieve the kind of breakthrough that once seemed miraculous. They still got beat by the world's brightest teenagers. Every year, a few hundred elite high-school students from all over the planet gather at the International Mathematical Olympiad. This year, those brilliant minds were joined by Google DeepMind and other companies in the business of artificial intelligence. They had all come for one of the ultimate tests of reasoning, logic and creativity. The famously grueling IMO exam is held over two days and gives students three increasingly difficult problems a day and more than four hours to solve them. The questions span algebra, geometry, number theory and combinatorics—and you can forget about answering them if you're not a math whiz. You'll give your brain a workout just trying to understand them. Because those problems are both complex and unconventional, the annual math test has become a useful benchmark for measuring AI progress from one year to the next. In this age of rapid development, the leading research labs dreamed of a day their systems would be powerful enough to meet the standard for an IMO gold medal, which became the AI equivalent of a four-minute mile. But nobody knew when they would reach that milestone or if they ever would—until now. This year's International Mathematical Olympiad attracted high-school students from all over the world. The unthinkable occurred earlier this month when an AI model from Google DeepMind earned a gold-medal score at IMO by perfectly solving five of the six problems. In another dramatic twist, OpenAI also claimed gold despite not participating in the official event. The companies described their feats as giant leaps toward the future—even if they're not quite there yet. In fact, the most remarkable part of this memorable event is that 26 students got higher scores on the IMO exam than the AI systems. Among them were four stars of the U.S. team, including Qiao (Tiger) Zhang, a two-time gold medalist from California, and Alexander Wang, who brought his third straight gold back to New Jersey. That makes him one of the most decorated young mathematicians of all time—and he's a high-school senior who can go for another gold at IMO next year. But in a year, he might be dealing with a different equation altogether. 'I think it's really likely that AI is going to be able to get a perfect score next year,' Wang said. 'That would be insane progress,' Zhang said. 'I'm 50-50 on it.' So given those odds, will this be remembered as the last IMO when humans outperformed AI? 'It might well be,' said Thang Luong, the leader of Google DeepMind's team. DeepMind vs. OpenAI Until very recently, what happened in Australia would have sounded about as likely as koalas doing calculus. But the inconceivable began to feel almost inevitable last year, when DeepMind's models built for math solved four problems and racked up 28 points for a silver medal, just one point short of gold. This year, the IMO officially invited a select group of tech companies to their own competition, giving them the same problems as the students and having coordinators grade their solutions with the same rubric. They were eager for the challenge. AI models are trained on unfathomable amounts of information—so if anything has been done before, the chances are they can figure out how to do it again. But they can struggle with problems they have never seen before. As it happens, the IMO process is specifically designed to come up with those original and unconventional problems. In addition to being novel, the problems also have to be interesting and beautiful, said IMO president Gregor Dolinar. If a problem under consideration is similar to 'any other problem published anywhere in the world,' he said, it gets tossed. By the time students take the exam, the list of a few hundred suggested problems has been whittled down to six. Meanwhile, the DeepMind team kept improving the AI system it would bring to IMO, an unreleased version of Google's advanced reasoning model Gemini Deep Think, and it was still making tweaks in the days leading up to the competition. The effort was led by Thang Luong, a senior staff research scientist who narrowly missed getting to IMO in high school with Vietnam's team. He finally made it to IMO last year—with Google. Before he returned this year, DeepMind executives asked about the possibility of gold. He told them to expect bronze or silver again. He adjusted his expectations when DeepMind's model nailed all three problems on the first day. The simplicity, elegance and sheer readability of those solutions astonished mathematicians. The next day, as soon as Luong and his colleagues realized their AI creation had crushed two more proofs, they also realized that would be enough for gold. They celebrated their monumental accomplishment by doing one thing the other medalists couldn't: They cracked open a bottle of whiskey. Key members of Google DeepMind's gold-medal-winning team, including Thang Luong, second from left. To keep the focus on students, the companies at IMO agreed not to release their results until later this month. But as soon as the Olympiad's closing ceremony ended, one company declared that its AI model had struck gold—and it wasn't DeepMind. It was OpenAI. The company wasn't a part of the IMO event, but OpenAI gave its latest experimental reasoning model all six problems and enlisted former medalists to grade the proofs. Like DeepMind's, OpenAI's system flawlessly solved five and scored 35 out of 42 points to meet the gold standard. After the OpenAI victory lap on social media, the embargo was lifted and DeepMind told the world about its own triumph—and that its performance was certified by the IMO. Not long ago, it was hard to imagine AI rivals dueling for glory like this. In 2021, a Ph.D. student named Alexander Wei was part of a study that asked him to predict the state of AI math by July 2025—that is, right now. When he looked at the other forecasts, he thought they were much too optimistic. As it turned out, they weren't nearly optimistic enough. Now he's living proof of just how wrong he was: Wei is the research scientist who led the IMO project for OpenAI. The only thing more impressive than what the AI systems did was how they did it. Google called its result a major advance, though not because DeepMind won gold instead of silver. Last year, the model needed the problems to be translated into a computer programming language for math proofs. This year, it operated entirely in 'natural language' without any human intervention. DeepMind also crushed the exam within the IMO time limit of 4 ½ hours after taking several days of computation just a year ago. You might find all of this completely terrifying—and think of AI as competition. The humans behind the models see them as complementary. 'This could perhaps be a new calculator,' Luong said, 'that powers the next generation of mathematicians.' The problem of Problem 6 Speaking of that next generation, the IMO gold medalists have already been overshadowed by AI. So let's put them back in the spotlight. Team USA at the International Mathematical Olympiad, including Alexander Wang, fourth from right, and Tiger Zhang, with the stuffed red panda on his head. Qiao Zhang is a 17-year-old student in Los Angeles on his way to MIT to study math and computer science. As a young boy, his family moved to the U.S. from China and his parents gave him a choice of two American names. He picked Tiger over Elephant. His career in competitive math began in second grade, when he entered a contest called the Math Kangaroo. It ended this month at the math Olympics next to a hotel in Australia with actual kangaroos. When he sat down at his desk with a pen and lots of scratch paper, Zhang spent the longest amount of time during the exam on Problem 6. It was a problem in the notoriously tricky field of combinatorics, the branch of mathematics that deals with counting, arranging and combining discrete objects, and it was easily the hardest on this year's test. The solution required the ingenuity, creativity and intuition that humans can muster but machines cannot—at least not yet. 'I would actually be a bit scared if the AI models could do stuff on Problem 6,' he said. Problem 6 did stump DeepMind and OpenAI's models, but it wasn't just problematic for AI. Of the 630 student contestants, 569 also received zero points. Only six received the full credit of seven points. Zhang was proud of his partial solution that earned four points—which was four more than almost everyone else. At this year's IMO, 72 contestants went home with gold. But for some, a medal wasn't their only prize. Zhang was among those who left with another keepsake: victory over the AI models. (As if it weren't enough that he can bend numbers to his will, he also has a way with words and wrote this about his IMO experience.) In the end, the six members of the U.S. team piled up five golds and one silver, finishing second overall behind the Chinese after knocking them off the top spot last year. There was once a time when such precocious math students grew up to become professors. (Or presidents—the recently elected president of Romania was a two-time IMO gold medalist with perfect scores.) While many still choose academia, others get recruited by algorithmic trading firms and hedge funds, where their quantitative brains have never been so highly valued. This year, the U.S. team was supported by Jane Street while XTX Markets sponsored the whole event. After all, they will soon be competing with each other—and with the richest tech companies—for their intellectual talents. By then, AI might be destroying mere humans at math. But not if you ask Junehyuk Jung. A former IMO gold medalist himself, Jung is now an associate professor at Brown University and visiting researcher at DeepMind who worked on its gold-medal model. He doesn't believe this was humanity's last stand, though. He thinks problems like Problem 6 will flummox AI for at least another decade. And he walked away from perhaps the most significant math contest in history feeling bullish on all kinds of intelligence. 'There are things AI will do very well,' he said. 'There are still going to be things that humans can do better.' Write to Ben Cohen at The High-Schoolers Who Just Beat the World's Smartest AI Models The High-Schoolers Who Just Beat the World's Smartest AI Models
Mint
2 days ago
- Science
- Mint
The high-schoolers who just beat the world's smartest AI models
The smartest AI models ever made just went to the most prestigious competition for young mathematicians and managed to achieve the kind of breakthrough that once seemed miraculous. They still got beat by the world's brightest teenagers. Every year, a few hundred elite high-school students from all over the planet gather at the International Mathematical Olympiad. This year, those brilliant minds were joined by Google DeepMind and other companies in the business of artificial intelligence. They had all come for one of the ultimate tests of reasoning, logic and creativity. The famously grueling IMO exam is held over two days and gives students three increasingly difficult problems a day and more than four hours to solve them. The questions span algebra, geometry, number theory and combinatorics—and you can forget about answering them if you're not a math whiz. You'll give your brain a workout just trying to understand them. Because those problems are both complex and unconventional, the annual math test has become a useful benchmark for measuring AI progress from one year to the next. In this age of rapid development, the leading research labs dreamed of a day their systems would be powerful enough to meet the standard for an IMO gold medal, which became the AI equivalent of a four-minute mile. But nobody knew when they would reach that milestone or if they ever would—until now. This year's International Mathematical Olympiad attracted high-school students from all over the world. The unthinkable occurred earlier this month when an AI model from Google DeepMind earned a gold-medal score at IMO by perfectly solving five of the six problems. In another dramatic twist, OpenAI also claimed gold despite not participating in the official event. The companies described their feats as giant leaps toward the future—even if they're not quite there yet. In fact, the most remarkable part of this memorable event is that 26 students got higher scores on the IMO exam than the AI systems. Among them were four stars of the U.S. team, including Qiao (Tiger) Zhang, a two-time gold medalist from California, and Alexander Wang, who brought his third straight gold back to New Jersey. That makes him one of the most decorated young mathematicians of all time—and he's a high-school senior who can go for another gold at IMO next year. But in a year, he might be dealing with a different equation altogether. 'I think it's really likely that AI is going to be able to get a perfect score next year," Wang said. 'That would be insane progress," Zhang said. 'I'm 50-50 on it." So given those odds, will this be remembered as the last IMO when humans outperformed AI? 'It might well be," said Thang Luong, the leader of Google DeepMind's team. Until very recently, what happened in Australia would have sounded about as likely as koalas doing calculus. But the inconceivable began to feel almost inevitable last year, when DeepMind's models built for math solved four problems and racked up 28 points for a silver medal, just one point short of gold. This year, the IMO officially invited a select group of tech companies to their own competition, giving them the same problems as the students and having coordinators grade their solutions with the same rubric. They were eager for the challenge. AI models are trained on unfathomable amounts of information—so if anything has been done before, the chances are they can figure out how to do it again. But they can struggle with problems they have never seen before. As it happens, the IMO process is specifically designed to come up with those original and unconventional problems. In addition to being novel, the problems also have to be interesting and beautiful, said IMO president Gregor Dolinar. If a problem under consideration is similar to 'any other problem published anywhere in the world," he said, it gets tossed. By the time students take the exam, the list of a few hundred suggested problems has been whittled down to six. Meanwhile, the DeepMind team kept improving the AI system it would bring to IMO, an unreleased version of Google's advanced reasoning model Gemini Deep Think, and it was still making tweaks in the days leading up to the competition. The effort was led by Thang Luong, a senior staff research scientist who narrowly missed getting to IMO in high school with Vietnam's team. He finally made it to IMO last year—with Google. Before he returned this year, DeepMind executives asked about the possibility of gold. He told them to expect bronze or silver again. He adjusted his expectations when DeepMind's model nailed all three problems on the first day. The simplicity, elegance and sheer readability of those solutions astonished mathematicians. The next day, as soon as Luong and his colleagues realized their AI creation had crushed two more proofs, they also realized that would be enough for gold. They celebrated their monumental accomplishment by doing one thing the other medalists couldn't: They cracked open a bottle of whiskey. Key members of Google DeepMind's gold-medal-winning team, including Thang Luong, second from left. To keep the focus on students, the companies at IMO agreed not to release their results until later this month. But as soon as the Olympiad's closing ceremony ended, one company declared that its AI model had struck gold—and it wasn't DeepMind. It was OpenAI. The company wasn't a part of the IMO event, but OpenAI gave its latest experimental reasoning model all six problems and enlisted former medalists to grade the proofs. Like DeepMind's, OpenAI's system flawlessly solved five and scored 35 out of 42 points to meet the gold standard. After the OpenAI victory lap on social media, the embargo was lifted and DeepMind told the world about its own triumph—and that its performance was certified by the IMO. Not long ago, it was hard to imagine AI rivals dueling for glory like this. In 2021, a Ph.D. student named Alexander Wei was part of a study that asked him to predict the state of AI math by July 2025—that is, right now. When he looked at the other forecasts, he thought they were much too optimistic. As it turned out, they weren't nearly optimistic enough. Now he's living proof of just how wrong he was: Wei is the research scientist who led the IMO project for OpenAI. The only thing more impressive than what the AI systems did was how they did it. Google called its result a major advance, though not because DeepMind won gold instead of silver. Last year, the model needed the problems to be translated into a computer programming language for math proofs. This year, it operated entirely in 'natural language" without any human intervention. DeepMind also crushed the exam within the IMO time limit of 4 ½ hours after taking several days of computation just a year ago. You might find all of this completely terrifying—and think of AI as competition. The humans behind the models see them as complementary. 'This could perhaps be a new calculator," Luong said, 'that powers the next generation of mathematicians." Speaking of that next generation, the IMO gold medalists have already been overshadowed by AI. So let's put them back in the spotlight. Team USA at the International Mathematical Olympiad, including Alexander Wang, fourth from right, and Tiger Zhang, with the stuffed red panda on his head. Qiao Zhang is a 17-year-old student in Los Angeles on his way to MIT to study math and computer science. As a young boy, his family moved to the U.S. from China and his parents gave him a choice of two American names. He picked Tiger over Elephant. His career in competitive math began in second grade, when he entered a contest called the Math Kangaroo. It ended this month at the math Olympics next to a hotel in Australia with actual kangaroos. When he sat down at his desk with a pen and lots of scratch paper, Zhang spent the longest amount of time during the exam on Problem 6. It was a problem in the notoriously tricky field of combinatorics, the branch of mathematics that deals with counting, arranging and combining discrete objects, and it was easily the hardest on this year's test. The solution required the ingenuity, creativity and intuition that humans can muster but machines cannot—at least not yet. 'I would actually be a bit scared if the AI models could do stuff on Problem 6," he said. Problem 6 did stump DeepMind and OpenAI's models, but it wasn't just problematic for AI. Of the 630 student contestants, 569 also received zero points. Only six received the full credit of seven points. Zhang was proud of his partial solution that earned four points—which was four more than almost everyone else. At this year's IMO, 72 contestants went home with gold. But for some, a medal wasn't their only prize. Zhang was among those who left with another keepsake: victory over the AI models. (As if it weren't enough that he can bend numbers to his will, he also has a way with words and wrote this about his IMO experience.) In the end, the six members of the U.S. team piled up five golds and one silver, finishing second overall behind the Chinese after knocking them off the top spot last year. There was once a time when such precocious math students grew up to become professors. (Or presidents—the recently elected president of Romania was a two-time IMO gold medalist with perfect scores.) While many still choose academia, others get recruited by algorithmic trading firms and hedge funds, where their quantitative brains have never been so highly valued. This year, the U.S. team was supported by Jane Street while XTX Markets sponsored the whole event. After all, they will soon be competing with each other—and with the richest tech companies—for their intellectual talents. By then, AI might be destroying mere humans at math. But not if you ask Junehyuk Jung. A former IMO gold medalist himself, Jung is now an associate professor at Brown University and visiting researcher at DeepMind who worked on its gold-medal model. He doesn't believe this was humanity's last stand, though. He thinks problems like Problem 6 will flummox AI for at least another decade. And he walked away from perhaps the most significant math contest in history feeling bullish on all kinds of intelligence. 'There are things AI will do very well," he said. 'There are still going to be things that humans can do better." Write to Ben Cohen at
Black America Web
3 days ago
- Entertainment
- Black America Web
The Ultimate Ick: Victoria Monét Reveals Her Team's Cringe-Worthy Advice To Reconsider Pregnancy For Her Career
Victoria Monét has publicly shared a deeply personal story about her journey to motherhood, revealing that she was advised to reconsider her pregnancy by a member of her team. The Grammy award-winning artist went into detail about the pressures she felt surrounding her unexpected pregnancy and the apologies she felt she had to make. Source: MICHAEL TRAN / Getty Monét, a celebrated singer, songwriter, and producer, rose to prominence writing hits for artists like Ariana Grande and Fifth Harmony before breaking out as a solo artist with her critically acclaimed Jaguar EP. Her career was on an upward trajectory when she found out she was pregnant. In February 2021, just months after releasing Jaguar , Monét welcomed her daughter, Hazel Monét, with her then partner, John Gaines. During a recent appearance on an episode of IMO With Michelle Obama and Craig Robinson , Monét reflected on the challenging period surrounding her pregnancy announcement. She stated that she was told her business might 'slow down' after having a child. Monét found herself in a sensitive position, feeling a need to 'apologize' to business partners for her pregnancy, despite it being a deeply personal and joyous moment for her. She described the internal conflict, noting, 'It's difficult, but it's also something that you're supposed to feel celebratory about because it's a blessing and not everybody gets that opportunity that wants it.' To make things worse, Monét described a specific incident with a person on her internal team. 'I had a person on my team, though the intentions were good, really, really hurt my feelings because they made a PowerPoint presentation to me about how difficult it will be for me,' Monét explained. The presentation reportedly used examples such as the high costs of childcare and other logistical challenges, ultimately concluding with the question, 'What's the rush?' 'So it felt like an encouragement to get an abortion,' she continued. 'So that was really, really hurtful. And I walked out of that meeting,' she revealed. However, this unfortunate moment lit a fire in her to prove them wrong. 'I walked out of the meeting with that same fight that I had when I left home, like, 'I'm gonna do this. It's my body and I'm gonna make it work even if it's hard. I'm not scared of hard things, I can do hard things.' After the clip hit social media and the news story began to circulate, Monét took to Instagram to clarify some of the details: 'I want to clarify something I said on Michelle Obama's podcast that aired yesterday regarding my first pregnancy.' She continued,' When sharing the story of the PowerPoint, I was in fact not referring to anyone at Platoon. It was a meeting with someone on my personal internal team. I was simply sharing my personal experience, and I want to be clear that I wasn't trying to single anyone out from my internal team at the time, which is why no names are mentioned, and I will keep it that way.' The singer added that she believes the person's intentions were genuine and does not wish them harm. She concluded the statement, highlighting Platoon, Monét's label and business partners, and their contributions to her career, further clarifying that the person who created the PowerPoint was not affiliated with the label. Today, Monét's 4-year-old daughter, Hazel, is a star in her own right, often appearing alongside her mom on red carpets and in viral social media moments. The duo recently even debuted their children's book, Everywhere You Are , further cementing their bond and Monét's commitment to her role as a mother. Watch the full interview with Victoria Monét on IMO With Michelle Obama and Craig Robinson below. The post The Ultimate Ick: Victoria Monét Reveals Her Team's Cringe-Worthy Advice To Reconsider Pregnancy For Her Career appeared first on Bossip. SEE ALSO The Ultimate Ick: Victoria Monét Reveals Her Team's Cringe-Worthy Advice To Reconsider Pregnancy For Her Career was originally published on
Irish Examiner
4 days ago
- Health
- Irish Examiner
Delaying alcohol warning labels prioritises profiteering over health, says Irish Medical Organisation
The Government's decision to delay the roll-out of warning labels on alcohol ignores health in favour of corporate interests and profiteering, the president of the Irish Medical Organisation (IMO) has warned. As Ireland continues to experience worsening rates of liver disease, alcohol-related cancers, and foetal alcohol spectrum disorder (FASD), the planned roll-out of alcohol health information labelling has been delayed until 2028 at the earliest. The decision to delay the introduction of health warnings was approved this week by the Cabinet amid concerns the plan would undermine Irish trade competitiveness internationally. The labels, which warn of the health-related risks of alcohol and its link with cancer, had been due to come into effect in May 2026. President of the IMO, Dr Anne Dee, a consultant in public health, described the move as a 'serious threat to public health'. 'It will result in preventable incidences of cancer, increased incidences of liver disease, and harm to children because of a refusal to fully enact a bill signed into law seven years ago.' Labelling provisions under the Public Health (Alcohol) Act 2018 are a critical tool in reducing alcohol-related harm, she added. An estimated 4.8% of babies born in Ireland suffer from FASD, which represents the third-highest incidence rate of the disorder in the world. 'This is about giving people the basic information that alcohol causes cancer, liver damage, and harm during pregnancy,' Dr Dee added. 'These are irrefutable facts. There is no excuse for keeping them off the label. The longer this Government delays, the more irreversible damage is done.' Dr Dee also criticised what she described as "the influence of vested interests in opposing the measure". 'We welcome the fact that the Government recently reiterated its refusal to meet with representatives of the tobacco industry in keeping with Ireland's obligations under international frameworks that recognise health-harming industries. But why is the alcohol industry, which produces a substance that results in the deaths of up to 1,500 people in Ireland every year, treated differently?' Lack of courage She called on the Government to implement all measures in the Public Health (Alcohol) Act, adding: "This delay shows a lack of courage and clarity when it comes to confronting the alcohol industry's influence, and an inability to act on the commercial determinants of health.' The Government decision to delay the introduction of alcohol health warnings comes against the backdrop of fears for Irish business from US trade tariffs proposed by Donald Trump. Ibec organisation Drinks Ireland welcomed the move and said it provided 'much-needed relief' for drinks producers in Ireland.
Yahoo
4 days ago
- Business
- Yahoo
VSAT Market worth $19.29 billion by 2030 - Exclusive Report by MarketsandMarkets™
DELRAY BEACH, Fla., July 25, 2025 /PRNewswire/ -- The VSAT (Very Small Aperture Terminal) market is estimated at USD 14.14 billion in 2025 and is projected to reach USD 19.29 billion by 2030 at a CAGR of 6.4% during the forecast period according to a new report by MarketsandMarkets™. The VSAT market is witnessing strong growth globally, fueled by rising demand for high-speed internet in remote and underserved regions across sectors like maritime, defense, and energy. Government-backed rural broadband programs and disaster recovery initiatives are accelerating deployments. Technological advancements such as high-throughput satellites (HTS) and low-Earth orbit (LEO) constellations are improving connectivity performance and reducing latency. Increased adoption of mobility solutions in aviation, land transport, and maritime further boosts the market. Additionally, growing enterprise reliance on real-time data, IoT, and cloud services is driving VSAT penetration globally. Download PDF Brochure: Browse in-depth TOC on "VSAT Market" 140 – Tables80 – Figures280 – Pages VSAT Market Report Scope: Report Coverage Details Market Revenue in 2025 $ 14.14 billion Estimated Value by 2030 $ 19.29 billion Growth Rate Poised to grow at a CAGR of 6.4% Market Size Available for 2020–2030 Forecast Period 2025–2030 Forecast Units Value (USD Million/Billion) Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends Segments Covered By End Use, Application, Frequency, Network and Region Geographies Covered North America, Europe, Asia Pacific, and Rest of World Key Market Challenge Radio spectrum availability issues Key Market Opportunities Growing demand for autonomous and connected vehicles Key Market Drivers Increasing use of VSAT technology in maritime industry Based on applications, the maritime segment is estimated to account for the largest market share in 2025. Based on application, the maritime segment is estimated to account for the largest market share in the VSAT market in 2025. The maritime segment is witnessing growth due to the growing demand for fast and secure satellite connectivity in the high seas. Cruise ships, commercial shipping firms, offshore oil and gas platforms, naval defense ships, and fishing vessels are primary users of maritime VSAT services. These vessels often operate out of shore-based communication facilities, and therefore, satellite connectivity is essential for navigation, crew comfort, monitoring of cargo, remote diagnostics, and control operations. The necessary IMO requirements for reporting and compliance in terms of cybersecurity are also driving the adoption of VSAT at a quicker pace. Furthermore, the growth in digital ship operations, weather-based real-time routing, and IoT-based monitoring systems is increasing the bandwidth requirements of maritime platforms. Widespread use of compact terminals and stabilized antennas suitable for ships of any size, coupled with the low cost of service packages offered by VSAT providers, is fueling adoption by developed and emerging economies. Based on network, the standard VSAT segment is projected to register the highest CAGR during the forecast period. Based on network, the standard VSAT segment is projected to register the highest CAGR during the forecast period. This is due to its extensive use in enterprises, commercial, and government markets. Standard VSAT systems operate in fixed or semi-fixed configurations and are extensively used in broadband internet access, corporate network extension, remote learning, telemedicine, and disaster recovery. The expansion of public service and business digitalization, particularly in rural regions, has enabled higher dependence upon standard VSAT installations to provide connectivity where terrestrial supply is not available. The terminals are also used extensively in government initiatives for rural broadband deployment as well as emergency communications infrastructure. With the emergence of high-throughput satellites (HTS), standard VSAT systems became more economical and efficient, leading to increased penetration in emerging and developed economies. The ease of their deployments, scalability, and compatibility with Ku- and Ka-band satellites ensure that they are an economic solution, fueling their growth in the global VSAT market. Inquiry Before Buying: Asia Pacific is projected to register the highest CAGR during the forecast period. The VSAT industry in Asia Pacific is projected to record the highest CAGR during the forecast period due to its vast geography, large, underserved population, and rapid digitalization efforts across several emerging economies. Countries like India, Indonesia, the Philippines, and Vietnam face high challenges in the deployment of ground broadband networks due to topography issues, huge investment requirements, and a dispersed rural population. The emergence of indigenous satellite programs and the accessibility of indigenous satellite service providers are making VSAT services affordable and localized. Operationsnes, shipping companies, defense bodies, and mining operations are also employing mobile VSAT terminals for reliable connectivity while in transit or offshore. Asia Pacific is also a significant production and R&D hub for VSAT equipment, which reduces costs and enhances affordability. With strong economic growth, public-private partnership business models, and increasing digital penetration targets, Asia Pacific presents high-growth opportunities in the VSAT market. Key Players in the VSAT companies are Orbit Communication Systems Ltd. (Israel), L3Harris Technologies Inc (US), Viasat Inc. (US), Gilat Satellite Networks Ltd. (Israel), ST Engineering iDirect, Inc (US), General Dynamics Corporation (US), Ultra Electronics (UK), Honeywell International Inc. (US), Thales Group (France), KVH Industries, Inc. (US), Singtel (Singapore), Mitsubishi Electric Corporation (Japan), EchoStar Corporation (US), Comtech Telecommunications Corporation (US), and SatixFy Communications Ltd. (Israel). Get 10% Free Customization on this Report: Browse Adjacent Market: Aerospace and Defence Market Research Reports &Consulting See More Latest Aerospace and Defence Reports: Military (Mil-Spec) Connectors Market by Shape {Circular [Mil-DTL-(38999,26482,5015)], Rectangular [MIL-DTL-(24308, 83513, 55302)]}, Type (Power, Signal, Data, RF & Microwave, Fiber Optic, Hybrid), Platform, Point of Sale and Region - Global Forecast to 2030 Artificial Intelligence (AI) in Drones Market by Solution (Infrastructure, Software, Services), Function (Flight Operations, Maintenance, Ground Control, Asset Health, Simulation, Revenue Optimization), End User, Technology - Global Forecast to 2030 About MarketsandMarkets™ MarketsandMarkets™ has been recognized as one of America's Best Management Consulting Firms by Forbes, as per their recent report. MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. With the widest lens on emerging technologies, we are proficient in co-creating supernormal growth for clients across the globe. Today, 80% of Fortune 2000 companies rely on MarketsandMarkets, and 90 of the top 100 companies in each sector trust us to accelerate their revenue growth. With a global clientele of over 13,000 organizations, we help businesses thrive in a disruptive ecosystem. The B2B economy is witnessing the emergence of $25 trillion in new revenue streams that are replacing existing ones within this decade. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing. 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