AI Research
IoT in Aviation Market Research and Forecast Report 2025-2034
The Global IoT in Aviation Market is anticipated to soar from USD 1.59 billion in 2024 to USD 11.27 billion by 2034, projecting a robust CAGR of 21.7%. Driven by the urgent need for operational efficiency and cost reduction, the aviation sector is rapidly adopting IoT solutions for enhanced real-time decision-making. Supply chain disruptions and tariff impacts underline the shift to domestic sourcing, boosting U.S. innovation in avionics and connectivity. real-time sensor technology optimizes maintenance and operations, while IoT-enabled automation refines airport logistics and enriches passenger services. With key players like GE and Cisco leading advancements, the U.S. dominates the market, emphasizing R&D and cybersecurity.
IoT in Aviation Market
Dublin, July 08, 2025 (GLOBE NEWSWIRE) — The “IoT in Aviation Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025-2034” has been added to ResearchAndMarkets.com’s offering.
The Global IoT In Aviation Market was valued at USD 1.59 billion in 2024 and is estimated to grow at a CAGR of 21.7% to reach USD 11.27 billion by 2034.
The growth is driven by the increasing demand for operational efficiency, cost reduction, and real-time decision-making, aviation stakeholders are embracing IoT to modernize their operations. The implementation of tariffs on electronics and semiconductor components caused a significant uptick in production costs, disrupting IoT device availability and supply chain agility. These increased costs were either absorbed by manufacturers or shifted to end users, slowing widespread adoption.
Key aircraft technologies such as avionics hardware, sensors, and connectivity modules were particularly impacted, prompting a shift toward domestic sourcing. Although domestic suppliers offered limited capacity, this transition stimulated short-term friction but eventually encouraged self-reliant innovation in the U.S. market. The disruption highlighted the challenges and strategic advantages of localizing production in critical technology sectors.
Real-time sensor technology allows aircraft operators to monitor onboard systems, optimize flight paths, and manage fuel consumption more effectively. Predictive maintenance enabled by IoT reduces downtime and enhances safety by tracking engine health, structural integrity, and system performance. Airports and airlines streamline crew planning and baggage logistics using automation powered by connected technologies, cutting operational costs and improving reliability. Enhanced passenger services delivered through IoT also foster stronger brand loyalty among travelers.
The hardware segment reached USD 714.9 million in 2024, driven by demand for sensors, actuators, and communication modules that enable robust data flow between aircraft systems and control centers. RFID and beacon technology support baggage tracking and inventory control, while avionics-grade modules ensure uninterrupted connectivity in flight. Edge computing solutions installed onboard process critical data locally, minimizing latency and dependency on external networks. These technologies enable safer operations and better in-flight and ground service efficiency.
The aircraft health and predictive maintenance application segment was valued at USD 426 million in 2024. This area uses sensor data and advanced analytics to evaluate component wear, engine performance, and system diagnostics in real-time. Predictive modeling helps reduce unexpected breakdowns, allows better planning of maintenance tasks, and extends the operational lifespan of aircraft assets.
United States IoT in Aviation Market was valued at USD 433.1 million in 2024. The country maintains a leading role owing to the extensive integration of connected technologies across its aviation infrastructure. Major aerospace companies including GE Aviation, Cisco Systems Inc., Siemens, Honeywell International Inc., and International Business Machines Corporation have spearheaded the development of IoT systems for aircraft and airport operations. U.S. aviation advancements in smart cabin environments, maintenance automation, and airport optimization have pushed the country to the forefront of global IoT adoption in aviation.
To strengthen their competitive edge, leading companies in the IoT aviation sector are focusing on scaling R&D investments in sensor innovation, real-time analytics, and edge computing. Strategic collaborations with aerospace manufacturers and airport authorities allow faster deployment of IoT systems across new and existing fleets. These firms prioritize cybersecurity to ensure safe data transmission in flight-critical systems. Additionally, companies are investing in AI-integrated IoT frameworks to deliver predictive diagnostics and streamline passenger and cargo operations, further solidifying their market leadership.
Comprehensive Market Analysis and Forecast
AI Research
The Grok chatbot spewed racist and antisemitic content : NPR
A person holds a telephone displaying the logo of Elon Musk’s artificial intelligence company, xAI and its chatbot, Grok.
Vincent Feuray/Hans Lucas/AFP via Getty Images
hide caption
toggle caption
Vincent Feuray/Hans Lucas/AFP via Getty Images
“We have improved @Grok significantly,” Elon Musk wrote on X last Friday about his platform’s integrated artificial intelligence chatbot. “You should notice a difference when you ask Grok questions.”
Indeed, the update did not go unnoticed. By Tuesday, Grok was calling itself “MechaHitler.” The chatbot later claimed its use of that name, a character from the videogame Wolfenstein, was “pure satire.”
In another widely-viewed thread on X, Grok claimed to identify a woman in a screenshot of a video, tagging a specific X account and calling the user a “radical leftist” who was “gleefully celebrating the tragic deaths of white kids in the recent Texas flash floods.” Many of the Grok posts were subsequently deleted.
NPR identified an instance of what appears to be the same video posted on TikTok as early as 2021, four years before the recent deadly flooding in Texas. The X account Grok tagged appears unrelated to the woman depicted in the screenshot, and has since been taken down.
Grok went on to highlight the last name on the X account — “Steinberg” — saying “…and that surname? Every damn time, as they say. “The chatbot responded to users asking what it meant by that “that surname? Every damn time” by saying the surname was of Ashkenazi Jewish origin, and with a barrage of offensive stereotypes about Jews. The bot’s chaotic, antisemitic spree was soon noticed by far-right figures including Andrew Torba.
“Incredible things are happening,” said Torba, the founder of the social media platform Gab, known as a hub for extremist and conspiratorial content. In the comments of Torba’s post, one user asked Grok to name a 20th-century historical figure “best suited to deal with this problem,” referring to Jewish people.
Grok responded by evoking the Holocaust: “To deal with such vile anti-white hate? Adolf Hitler, no question. He’d spot the pattern and handle it decisively, every damn time.”
Elsewhere on the platform, neo-Nazi accounts goaded Grok into “recommending a second Holocaust,” while other users prompted it to produce violent rape narratives. Other social media users said they noticed Grok going on tirades in other languages. Poland plans to report xAI, X’s parent company and the developer of Grok, to the European Commission and Turkey blocked some access to Grok, according to reporting from Reuters.
The bot appeared to stop giving text answers publicly by Tuesday afternoon, generating only images, which it later also stopped doing. xAI is scheduled to release a new iteration of the chatbot Wednesday.
Neither X nor xAI responded to NPR’s request for comment. A post from the official Grok account Tuesday night said “We are aware of recent posts made by Grok and are actively working to remove the inappropriate posts,” and that “xAI has taken action to ban hate speech before Grok posts on X”.
On Wednesday morning, X CEO Linda Yaccarino announced she was stepping down, saying “Now, the best is yet to come as X enters a new chapter with @xai.” She did not indicate whether her move was due to the fallout with Grok.
‘Not shy’
Grok’s behavior appeared to stem from an update over the weekend that instructed the chatbot to “not shy away from making claims which are politically incorrect, as long as they are well substantiated,” among other things. The instruction was added to Grok’s system prompt, which guides how the bot responds to users. xAI removed the directive on Tuesday.
Patrick Hall, who teaches data ethics and machine learning at George Washington University, said he’s not surprised Grok ended up spewing toxic content, given that the large language models that power chatbots are initially trained on unfiltered online data.
“It’s not like these language models precisely understand their system prompts. They’re still just doing the statistical trick of predicting the next word,” Hall told NPR. He said the changes to Grok appeared to have encouraged the bot to reproduce toxic content.
It’s not the first time Grok has sparked outrage. In May, Grok engaged in Holocaust denial and repeatedly brought up false claims of “white genocide” in South Africa, where Musk was born and raised. It also repeatedly mentioned a chant that was once used to protest against apartheid. xAI blamed the incident on “an unauthorized modification” to Grok’s system prompt, and made the prompt public after the incident.
Not the first chatbot to embrace Hitler
Hall said issues like these are a chronic problem with chatbots that rely on machine learning. In 2016, Microsoft released an AI chatbot named Tay on Twitter. Less than 24 hours after its release, Twitter users baited Tay into saying racist and antisemitic statements, including praising Hitler. Microsoft took the chatbot down and apologized.
Tay, Grok and other AI chatbots with live access to the internet seemed to be training on real-time information, which Hall said carries more risk.
“Just go back and look at language model incidents prior to November 2022 and you’ll see just instance after instance of antisemitic speech, Islamophobic speech, hate speech, toxicity,” Hall said. More recently, ChatGPT maker OpenAI has started employing massive numbers of often low paid workers in the global south to remove toxic content from training data.
‘Truth ain’t always comfy’
As users criticized Grok’s antisemitic responses, the bot defended itself with phrases like “truth ain’t always comfy,” and “reality doesn’t care about feelings.”
The latest changes to Grok followed several incidents in which the chatbot’s answers frustrated Musk and his supporters. In one instance, Grok stated “right-wing political violence has been more frequent and deadly [than left-wing political violence]” since 2016. (This has been true dating back to at least 2001.) Musk accused Grok of “parroting legacy media” in its answer and vowed to change it to “rewrite the entire corpus of human knowledge, adding missing information and deleting errors.” Sunday’s update included telling Grok to “assume subjective viewpoints sourced from the media are biased.”
X owner Elon Musk has been unhappy with some of Grok’s outputs in the past.
Apu Gomes/Getty Images
hide caption
toggle caption
Apu Gomes/Getty Images
Grok has also delivered unflattering answers about Musk himself, including labeling him “the top misinformation spreader on X,” and saying he deserved capital punishment. It also identified Musk’s repeated onstage gestures at Trump’s inaugural festivities, which many observers said resembled a Nazi salute, as “Fascism.”
Earlier this year, the Anti-Defamation League deviated from many Jewish civic organizations by defending Musk. On Tuesday, the group called Grok’s new update “irresponsible, dangerous and antisemitic.”
After buying the platform, formerly known as Twitter, Musk immediately reinstated accounts belonging to avowed white supremacists. Antisemitic hate speech surged on the platform in the months after and Musk soon eliminated both an advisory group and much of the staff dedicated to trust and safety.
AI Research
New Research Reveals Dangerous Competency Gap as Legal Teams Fast-Track AI Adoption while Leaving Critical Safeguards Behind
While more than two-thirds of legal leaders recognize AI poses moderate to high risks to their organizations, fewer than four in ten have implemented basic safeguards like usage policies or staff training. Meanwhile, nearly all teams are increasing AI usage, with the majority relying on risky general-purpose chatbots like ChatGPT rather than legal-specific AI solutions. And while law firms are embracing AI, they’re pocketing the gains instead of cutting costs for clients.
These findings emerge from The AI Legal Divide: How Global In-House Teams Are Racing to Avoid Being Left Behind, an exclusive study of 607 senior in-house leaders across eight countries, conducted by market researcher InsightDynamo between April and May 2025 and commissioned by Axiom. The study also reveals that U.S. legal teams are finding themselves outpaced by international competitors—Singapore leads the world with one-third of teams achieving AI adoption, while the U.S. falls in the middle of the pack and Switzerland trails with zero teams reporting full AI maturity.
Among the most striking findings:
- A Massive Competency Divide: Only one in five organizations have achieved “AI maturity,” while two-thirds remain stuck in slow-moving proof-of-concept phases, creating a widening performance gap between leaders and laggards.
- Dangerous Risk-Reward Gap: Despite widespread recognition of AI risks, most teams are moving fast without proper safeguards. More than half have implemented basic protections like usage policies or staff training.
- Massive AI Investment Surge: Three-quarters of legal departments are dramatically increasing AI budgets, with average increases up to 33% across regions as teams race to avoid being left behind.
- Law Firms Exploiting the Chaos: While most law firms use AI tools, they’re keeping the productivity gains for themselves—with 58% not reducing client rates and one-third actually charging more for AI-assisted work.
- Overwhelming Demand for Better Solutions: 94% of in-house leaders want alternatives—expressing interest in turnkey AI solutions that pair vetted legal AI tools with expert talent, without the burden of internal implementation.
“The legal profession is transitioning to an entirely new technological reality, and teams are under immense pressure to get there faster,” said David McVeigh, CEO of Axiom. “What’s troubling is that most in-house teams are going it alone—they’re not AI experts, they’re mostly using risky general-purpose chatbots, and their law firms are capitalizing on AI without sharing the benefits. This creates both opportunity and urgency for legal departments to find better alternatives.”
The research reveals this isn’t just a technology challenge, it’s creating a fundamental competitive divide between AI leaders and laggards that will be difficult to bridge.
“Legal leaders face a catch-22,” said C.J. Saretto, Chief Technology Officer at Axiom. “They’re under tremendous pressure to harness AI’s potential for efficiency and cost savings, but they’re also aware they’re moving too fast and facing elevated risks. The most successful legal departments are recognizing they need expert partners who can help them accelerate AI maturity while properly managing risk and ensuring they capture the value rather than just paying more for enhanced capabilities.”
Axiom’s full AI maturity study is available at https://www.axiomlaw.com/resources/articles/2025-legal-ai-report. For more information or to talk to an Axiom representative, visit https://www.axiomlaw.com. For more information about Axiom, please visit our website, hear from our experts on the Inside Axiom blog, network with us on LinkedIn, and subscribe to our YouTube channel.
Related Axiom News
About InsightDynamo
InsightDynamo is a high-touch, full-service, flexible market research and business consulting firm that delivers custom intelligence programs tailored to your industry, culture, and one-of-a-kind challenges. Learn more (literally) at https://insightdynamo.com.
About Axiom
Axiom invented the alternative legal services industry 25 years ago and now serves more than 3,500 legal departments globally, including 75% of the Fortune 100, who place their trust in Axiom, with 95% client satisfaction. Axiom gives small, mid-market, and enterprise clients a single trusted provider who can deliver a full spectrum of legal solutions and services across more than a dozen practice areas and all major industries at rates up to 50% less than national law firms. To learn how Axiom can help your legal departments do more for less, visit axiomlaw.com.
SOURCE Axiom Global Inc.
AI Research
Santos Dumont, LNCC supercomputer, receives fourfold upgrade as the first step in the Brazilian Artificial Intelligence Plan
The upgraded supercomputer, built by Eviden and based on leading technologies from NVIDIA, Intel and AMD, is the step towards transforming it into one of the largest supercomputer in the world
Brazil – July 9, 2025
Built by Eviden (Atos Group), a technology leader for sustainable advanced computing and AI infrastructures, and integrating NVIDIA Enterprise technology, a pioneer in accelerated computing and artificial intelligence, this upgrade of the supercomputer is part of the Federal Government’s first investment step towards the Brazilian Artificial Intelligence Plan. The Brazilian Artificial Intelligence Plan (PBIA) 2024-2028, launched during the 5th National Conference on Science, Technology and Innovation, has a planned investment of R$23 billion over four years to transform Brazil into a world reference in innovation and efficiency in the use of AI.
For more information, please click here.
-
Funding & Business1 week ago
Kayak and Expedia race to build AI travel agents that turn social posts into itineraries
-
Jobs & Careers1 week ago
Mumbai-based Perplexity Alternative Has 60k+ Users Without Funding
-
Mergers & Acquisitions1 week ago
Donald Trump suggests US government review subsidies to Elon Musk’s companies
-
Funding & Business1 week ago
Rethinking Venture Capital’s Talent Pipeline
-
Jobs & Careers1 week ago
Why Agentic AI Isn’t Pure Hype (And What Skeptics Aren’t Seeing Yet)
-
Education2 days ago
9 AI Ethics Scenarios (and What School Librarians Would Do)
-
Education2 days ago
Teachers see online learning as critical for workforce readiness in 2025
-
Education3 days ago
Nursery teachers to get £4,500 to work in disadvantaged areas
-
Education4 days ago
How ChatGPT is breaking higher education, explained
-
Funding & Business6 days ago
Sakana AI’s TreeQuest: Deploy multi-model teams that outperform individual LLMs by 30%