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Showing posts with the label machine learning

Embodied AI Robots: Market Upside Trends

Embodied AI is shifting industrial robotics from precise to perceptive — from rigid automation to adaptive execution in messy, variable production environments. For manufacturers and logistics providers, this isn't just a technology upgrade; it's a structural change in how work gets organized and business value gets created. Industrial robots have long excelled in static workflows: automotive assembly, fixed production lines, repetitive tasks. Where variability or human interaction arose, they stalled or required prohibitive engineering. Embodied AI Market Development Embodied AI changes this by closing the "sim-to-real" gap. According to the latest worldwide market study by ABI Research, AI-augmented robots have reached genuine adaptive automation with tangible ROI for early adopters. The shift rests on robust algorithms — particularly Dynamic Policy Adjustment and robotics foundation models — that learn and adapt in real time rather than following hard-coded rules. ...

GenAI Smartphone Sales Rise Worldwide

The concept of "AI at the edge" redefines how artificial intelligence is delivered. Rather than relying exclusively on centralized servers in the cloud, edge AI moves inference directly onto local devices where data and information are processed. Worldwide end-user spending on Generative AI (GenAI) smartphones is set to reach $298.2 billion by the close of 2025, according to the latest market study by Gartner. This milestone signals robust growth in digital hardware sales with a shift in how mobile technology is evolving to meet the demands of a more AI-dependent, experience-driven marketplace. Smartphone AI Market Development Smartphones have long stood at the center of the modern connected life. Now, the integration of GenAI marks a new era where devices transition from reactive tools to proactive intelligent companions. Gartner’s study draws a clear line between traditional smartphones and GenAI smartphones — those equipped with dedicated neural engines (NPUs) able to run...

How AI Impacts Merchant Fraud Prevention

The rapid growth of eCommerce has brought convenience to consumers worldwide, but it has also opened new avenues for fraudsters to exploit. As online transactions become increasingly prevalent, retail merchants face mounting challenges in safeguarding revenues and maintaining customer trust. This evolving threat of merchant fraud prevention is at a critical juncture, with emerging technologies playing a pivotal role in the ongoing battle against sophisticated fraud threats. Fraud Prevention Market Development The eCommerce boom, accelerated by the COVID-19 pandemic, has created a fertile ground for fraudulent activities. Merchants across various industries are grappling with implementing robust fraud detection and prevention measures to mitigate unnecessary revenue losses from chargebacks and order reprocessing. The stakes are high, as evidenced by Juniper Research's latest market study which forecasts the value of eCommerce fraud will rise from $44.3 billion in 2024 to $107 billio...

Global Information Security Trends for 2025

The global Information Security landscape is poised for significant growth, driven by escalating online cyber threats and the increasing complexity of digital business ecosystems.  According to the latest market study by Gartner, global spending on information security is expected to grow by 15.1 percent in 2025, reaching a total of $212 billion. This investment highlights the importance of cybersecurity and underscores the need for new measures to protect sensitive data and infrastructure from cyber threats. Information Security Market Development Several key trends illustrate the scale and scope of the spending: This growth reflects the increasing prioritization of cybersecurity across industries as organizations seek to safeguard their digital business assets and maintain trust with customers. Spending on Security Services is forecast to rise by 15.6 percent in 2025, reaching $86.07 billion globally. This growth is driven by the ongoing shortage of cybersecurity talent and the n...

The $4 Billion Opportunity for Satellite IoT

In an era where wireless connectivity is pervasive, Satellite Internet of Things (IoT) can change industries, offering leaders unprecedented opportunities to drive efficiency and innovation. As industries across the globe seek to enhance operational efficiency and sustainability, satellite IoT emerges as a pivotal enabler. According to a worldwide study by ABI Research, the Satellite IoT market is forecast to reach $4 billion by 2030, with over 26 million connections anticipated. "Prominent satellite IoT providers such as Inmarsat, ORBCOMM, Globalstar, Myriota, and hiSky have been actively working together with their partners to expand their service offerings and enhance connectivity solutions," said Jake Saunders, vice president at ABI Research . Satellite IoT Market Development The satellite IoT market's expansion is largely fueled by its application across key verticals, including agriculture, energy and utilities, fisheries and aquaculture, and environmental monitorin...

The Evolution of Mobile Money Services

The mobile money sector in emerging markets has grown over the past two decades. What started as a simple solution to provide basic financial services to the unbanked has evolved into an ecosystem that reshaped economies and increased financial inclusion. Mobile money services have filled a crucial gap in areas where traditional banking infrastructure is sparse or non-existent. In rural and low-income regions, mobile money has emerged as a lifeline, offering various financial services. Mobile Money Service Market Development According to the latest worldwide market study by Juniper Research, mobile money spending in emerging markets is projected to reach $2.37 trillion by 2029 -- that's up from $1.58 trillion in 2024 with a growth of 51 percent in just five years. We're seeing a move beyond simple peer-to-peer transactions to services like merchant payments, both in-store and via eCommerce, as well as international remittances. This shift is allowing financial service providers...

The Subscription Economy Churn Challenge

The subscription business model has been one of the big success stories of the Internet era. From Netflix to Microsoft 365, more and more companies are moving towards recurring revenue streams by having customers pay for access rather than product ownership. The subscription economy cuts across many industries -- such as streaming services, software, media, consumer products, and even transportation with the rise of mobility-as-a-service. A new market study by Juniper Research highlights the central challenge facing subscription businesses -- reducing customer churn to build a loyal subscriber installed base. Subscription Model Market Development The Juniper market study provides an in-depth analysis of the subscription business model market landscape and associated customer retention strategies. A key finding is that impending government regulations will make it easier for customers to cancel subscriptions, likely leading to increased voluntary churn rates. The study report cites the...

Securing the Future of Cellular IoT Apps

The Internet of Things (IoT) continues to expand. According to the latest worldwide market study by Juniper Research, they forecast a 90 percent growth in cellular IoT devices by 2028, with the global number reaching 6.5 billion. This exponential rise presents both exciting opportunities and significant challenges. While the growth of cellular IoT unlocks a vast potential for innovation in smart cities, industrial automation, and remote monitoring, it also requires device management and security advancements. Cellular IoT Market Development Juniper's research highlights the critical role of intelligent infrastructure management solutions. These platforms will empower the users to automate critical tasks such as device configuration, real-time security management, and optimized wireless connectivity. The surge in cellular data usage, projected to reach 46 petabytes by 2028 compared to 21 petabytes today, further underscores the need for automation. This is where federated learning i...

How GenAI Transformed the CIO Role

With large enterprise business technology decision-making and budget spending now residing with Line of Business (LoB) leaders, rather than traditional IT leadership, the Chief Information Officer (CIO) role must demonstrate strategic skills. By 2028, 80 percent of CIOs will leverage significant organizational changes to harness AI, automation, and analytics, driving agile, insight-driven digital businesses. CIOs must become key players in shaping the future of their companies, guiding them through new trends while putting data at the heart of their business strategies, according to the latest market study by International Data Corporation (IDC). CIO Business Skills Market Development IDC research identified the top 3 concerns among C-suite executives were in digital skills, the lack of LoB trust in IT, and the lack of digital business know-how of C-suite executives. Given this backdrop, the major challenge for CIOs is transitioning from being a technical manager to a strategic archite...

How GenAI-based Tools Transform Software

As a savvy CEO, you may believe that your organization is an IT innovator. But are you ready to become a Generative Artificial Intelligence (GenAI) pioneer in your industry? If not, why are you hesitant? International Data Corporation (IDC) predicts that by 2028, GenAI-based tools will be capable of writing 70 percent of enterprise software tests -- decreasing the need for manual testing, and resulting in improvements to test coverage, software usability, and code quality. According to the IDC assessment, 48 percent of enterprises in the Asia-Pacific region consider code review and testing as one of the important tasks that AI could most effectively help developers streamline. GenAI Tools Market Development IDC research shows that the top areas of emphasis for utilizing AI/ML with testing include prioritizing tests, discovering the underlying cause of failed tests, creating test cases, plus self-healing and testing procedures. GenAI for test automation is becoming more popular amongst ...

Transformation Power of GenAI in ITOps

Business technology investment continues to fuel new digital business growth. For example, the transformative role of Generative Artificial Intelligence (GenAI) within IT operations (ITOps) across the Asia-Pacific region. Almost half (43 percent) of organizations surveyed are currently exploring potential GenAI use cases, with 55 percent of financial organizations and telecom firms investing in GenAI technology in 2023, according to the latest market study by IDC. With the digital-first mindset gaining momentum, leaders are seeking innovative solutions to enhance operations. GenAI stands out as a pivotal technology, offering the means to mitigate risks, boost efficiency, and improve overall productivity. Generative AI Market Development Generative AI is gaining popularity in Information Technology (IT) operations and IT service management, particularly in cost-sensitive Asia-Pacific environments. This technology offers automation of ITOps tasks, reducing operational costs and optimizi...

Artificial Intelligence Applications in Open RAN

The evolution of mobile networks has witnessed a shift with the advent of Open RAN (Radio Access Network) solutions. Historically, traditional network architectures were characterized by proprietary, monolithic systems, and limiting flexibility. Open RAN represents a paradigm shift in the mobile sector with an extended and disaggregated approach to network infrastructure. The concept gained momentum as a response to the desire for greater interoperability, vendor diversity, and cost efficiency. This approach enables the decoupling of hardware and software components. Open RAN enables the deployment of adaptable systems that can keep pace with the advancements in wireless technology. Open RAN Market Development  Emerging Artificial Intelligence (AI) and Machine Learning (ML) innovations in Open RAN Massive MIMO (mMIMO) solutions will play a pivotal role in improving performance to match that of traditional RAN mMIMO, according to the latest worldwide market study by ABI Research. Wh...

5G Roaming Connections Drive Mobile Growth

The total number of roaming connections is anticipated to grow 350 percent over the next five years, with the growing presence of 5G and IoT roaming devices being major driving factors. According to the latest worldwide market study by Juniper Research , growth in global roaming clearing revenues will reach $2.5 billion in 2024. This 30 percent increase will be driven by the rise in 5G roaming connections as mobile service providers continue 5G network expansion. 5G Roaming Market Development For network operators and clearing houses to capitalize on this opportunity, Juniper says they must focus on implementing new technologies and new growth strategies. A major trend is the growth in Internet of Things (IoT) roaming devices, anticipated to reach 595 million globally by 2028. While this brings opportunities, mobile operators see limited revenue per Low Power Wide Area (LPWA) connection. Clearing houses can help by providing highly scalable cloud-based services to handle increasing dat...

Machine Vision Tech Revenue will Reach $36 Billion

More organizations are exploring machine vision use cases. Machine vision combines hardware and software to provide operational guidance to devices in the execution of their functions based on the capture and processing of images. Machine vision is rapidly becoming an enabling technology for emerging automation requirements in automotive, healthcare, manufacturing, retail, smart buildings, smart cities, transportation, and logistics applications. The total revenue of machine vision technology in the seven major global markets is expected to reach $36 billion by 2027 -- that's up from $21.4 billion in 2022. This growth translates to a CAGR of 11 percent, according to the latest market study by ABI Research. Machine Vision Market Development Traditionally, machine vision was primarily focused on surveillance and security, asset monitoring, and defect inspection. These mature applications continue to drive the main bulk of total camera shipments within the enterprise market. However, ...

Edge Computing: Four Compelling Use Cases

Chief executive officers want business technology leadership as a top goal for their C-suite this year. To compete in a Global Networked Economy, organizations are prioritizing investments in digital tools to augment physical spaces and assets. Plus, enable secure data gathering and analysis. These IT investments empower organizations to provision enterprise workloads at edge locations in support of innovative use cases. Edge computing includes IT infrastructure and software apps deployed outside of central data centers, to support data gathering and analysis closer to the source. Edge Computing Market Development IDC has identified four workloads from its taxonomy that have a significant influence among edge use cases: business intelligence or data analytics; content delivery; text and image analytics; plus networking and security. Multiple workloads are combined to support specific edge use cases. For each workload category, IDC ranks the contained workloads by the primary, secondary...

How AI will Personalize Media and Entertainment

The traditional media and entertainment (M&E) industry continues to undergo a transformative process, adapting to customer preferences, new tech, and government regulations. Meanwhile, new direct-to-consumer online entertainment services and pay-TV cord-cutting have created disruptive challenges. These rapidly evolving trends also include handling the high volumes of data generated, complexities in audience targeting and identity resolution, and the need for deeper levels of personalization. All these changes are making artificial intelligence and machine learning (AI/ML) essential to automating many digital media processes -- including content selection, content management, media workflows, customer relations, and digital advertising. Media and Entertainment Tech Market Development According to the latest worldwide market study by ABI Research, the upside market potential for AI/ML revenue growth within the M&E sector will reach $16.5 billion by 2026. Personalization is becomi...

Why Cloud Fuels Net-New Digital Business Growth

CEOs and Line of Business (LoB) leaders seek the fastest path to meaningful digital transformation advancement. Meanwhile, investment trends in cloud computing infrastructure continue to expand the capabilities, accelerating growth across all segments within the public cloud services market. According to the latest worldwide market study by Gartner, the four key trends are cloud ubiquity, regional cloud ecosystems, sustainability or carbon-intelligent cloud, and automated programmable cloud infrastructure. "The economic, organizational and societal impact of the pandemic will continue to serve as a catalyst for digital innovation and adoption of cloud services," said Henrique Cecci, senior research director at Gartner . "This is especially true for use cases such as collaboration, remote work, and new digital services to support a hybrid workforce." Global Cloud Computing Market Development Hybrid, multi-cloud and edge computing environments are growing and setting ...

Edge Computing Artificial Intelligence Apps Demand

The overall business technology market experienced significant growth last year.  However, 2020 was a challenging year for edge Artificial Intelligence (AI) vendors. Both market demand and deployment have slowed due to the global COVID-19 pandemic. Compared to the cloud AI chipset market that experienced 68 percent year-on-year growth in 2020, the edge AI chipset market only grew by 1 percent during the same period. Regardless, the market is expected to bounce back. According to the latest worldwide market study by ABI Research, the edge AI chipset market will reach $28 billion in 2026, with a CAGR of 28.4 percent between 2021 and 2026. Edge Artificial Intelligence Market Development "The demand for edge AI is not going away anytime soon. Edge AI devices can process raw data locally, reducing the reliance on constant cloud connectivity. Consumers appreciate the enhanced user experience brought by low latency and data privacy," said Lian Jye Su, principal analyst at ABI Resear...

How Edge Computing and AI Applications Drive IoT

The global pandemic has accelerated the adoption of emerging technologies, including edge computing and TinyML. As more CIOs and CTOs seek ways to capture and process data at the edge of their enterprise IT network, the demand has fueled investment for Internet of Things (IoT) applications. According to the latest worldwide market study by ABI Research, the global edge Artificial Intelligence (AI), Software-as-a-Service (SaaS), and turnkey service market will grow at a CAGR of 46 percent between 2020 and 2025 to reach $7.2 billion. This is 25 percent of the global edge AI market, which is estimated to be $28 billion by 2025. The market is comprised of edge AI chipsets, SaaS, and turnkey services, as well as professional services. As the benefits of edge AI becomes more obvious, enterprises are searching for edge AI solutions that offer low latency and are fully secured to assist them with data-based analysis or decision-making. Edge Artificial Intelligence Market Development "The ...

Cloud Artificial Intelligence will Transform Mobile Apps

The ongoing growth of cellular wireless network applications creates new demand for emerging technologies. Fifth-generation (5G) wireless communication includes several network layers that leverage technology such as Open Radio Access Network (Open RAN), network slicing, and cloud edge computing. Within cloud-edges, the broader Artificial Intelligence (AI) industry is witnessing a migration of AI to the edge. According to the latest worldwide market study by ABI Research, the edge AI training and inference market for chipsets is expected to grow from $2.6 billion in 2020 to $10.7 billion in 2025, at a CAGR of 35 percent. Furthermore, new enterprise use cases place new performance, agility, and latency requirements on the network. These, along with the ongoing quest to drive new growth, are compelling the industry to shed human-intensive networks in favor of an intelligence-driven ecosystem. 5G Network Market Development According to the ABI assessment, telecom service providers are alr...