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Bike and Scooter Sharing Telematics Market to Reach $8.1 Billion, Globally, by 2033 at 7.9% CAGR: Allied Market Research

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Increasing urban population and growing environmental concerns are the two primary factors driving the growth of global bike and scooter sharing telematics market.

WILMINGTON, Del., Aug. 26, 2024 /PRNewswire/ — Allied Market Research published a report, titled, “Bike and Scooter Sharing Telematics Market by Service Type (Pay-as-you-go and Subscription pay-as-you-go), Operational Model (Dockless and Station-Based), Propulsion (Pedal, Electric and Gasoline) and Vehicle Type (Bike, Scooter and Others): Global Opportunity Analysis and Industry Forecast, 2024-2033″. According to the report, the bike and scooter sharing telematics market was valued at $3.8 billion in 2023, and is estimated to reach $8.1 billion by 2033, growing at a CAGR of 7.9% from 2024 to 2033.

Prime determinants of growth 

Increasing urban population and growing environmental concerns are the two primary factors driving the growth of global bike and scooter sharing telematics market. Furthermore, regulatory and operational challenge is the main factor restraining the growth of global bike and scooter sharing telematics market. Moreover, market expansion and innovation in technology are the two significant opportunities that can enhance the growth of global bike and scooter sharing telematics market in the future. 

Request Sample of the Report on Bike and Scooter Sharing Telematics Market Forecast 2033: https://www.alliedmarketresearch.com/request-sample/A323778

Report coverage & details: 

Report Coverage   

Details   

Forecast Period  

2024–2033

Base Year  

2023

Market Size in 2023  

$3.8 billion 

Market Size in 2033  

$8.1 billion 

CAGR  

7.9 %

No. of Pages in Report  

250

Segments Covered  

Service Type, Vehicle Type, Propulsion, Operational Model and Region.  

Drivers  

Increase in urban population  

Growth in environmental concerns 

Opportunities 

Market expansion  

Innovation in technology 

Restraint  

Regulatory and operational challenge 

Procure Complete Report (250 Pages PDF with Insights, Charts, Tables, and Figures): https://www.alliedmarketresearch.com/checkout-final/bike-and-scooter-sharing-telematics-market-A323778

Segment Highlights 

Based on service type, the subscription-based model dominated the market in 2023 as it provides users with unlimited access for a fixed fee, which appeals to frequent users or those who prefer a more predictable billing structure. Meanwhile, the pay as you go application is expected to grow at a significant rate in the market as it offers flexibility and is popular among occasional users who prefer to pay only for the time they use the service.

Based on the operational model, the dockless segment dominated the market in 2023, as dockless systems provide users with the flexibility to pick up and drop off bikes or scooters virtually anywhere within a designated area, rather than having to find a specific docking station. This convenience has made them more popular in urban environments where users value rapid and easy access. Meanwhile, station-based service is expected to grow at a significant rate in the market. This is because station-based systems provide a more organized framework for bike and scooter sharing. 

Based on propulsion, the electric segment dominated the market in 2023. Electric bikes (e-bikes) and electric scooters (e-scooters) are more attractive to users because they require less physical effort compared to pedal bikes. This makes them appealing for longer distances, hilly terrains, and for a broader demographic, including those who may not be as physically fit. Meanwhile, the traditional pedal-powered bike-sharing segment is expected to grow at a significant rate in the market. This is because people are increasingly becoming conscious of their fitness and health. Running a pedal cycle daily improves the stamina of the human body and keeps human fitness up to the mark.

Based on vehicle type, scooters dominated the bike and scooter sharing telematics market in 2023, this is due to more units of scooter and electric advanced scooters being produced in the market. Meanwhile, the bike segment is expected to grow at a significant rate in the market, this is due to the new bike technology being introduced in the market.

Regional Outlook 

Based on region, the Asia-Pacific region dominated the bike and scooter sharing telematics market in 2023, as Asia-Pacific has some of the largest and most densely populated cities in the world. Rapid urbanization and the need for efficient, sustainable urban mobility solutions drive high demand for bike and scooter-sharing services in the region. Meanwhile,  North America is expected to grow at an increasing rate in the bike and scooter-sharing telematics market due to latest technologies arriving in the region.

To Talk With Our Industry Expert @ https://www.alliedmarketresearch.com/connect-to-analyst/A323778

Players: –    

Beam Mobility Holdings Pte. Ltd.Bolt Technology OuDottHelbizDSVLimeLyft, Inc.Marti Technologies, Inc.Neuron MobilityRidemovi S.p.A.The Swing CorporationTierYulu Bikes Pvt. Ltd.Anywheel Pte. Ltd.Blinkee.cityBixi MontrealBird Rider, Inc.Uber Technologies, Inc.CooltraBixi MontrealBlue BikesDidi Chuxing Technology Co. Ltd.Docomo Bike Share, Inc.Donkey RepublicThe Forest CompanyFreebikeHello CyclingHellobikeJCDecauxMevo, Inc.MYBYKNextbike GmBHBinBinPoppyHop Electric MobilityVoi Technology ABZoomoSplinsterYEGO Urban Mobility SLSpinEmmy SharingJump, Inc.Cityscoot

The report provides a detailed analysis of these key players in the global bike and scooter-sharing telematics market. These players have adopted different strategies such as new product launch, partnership and funding to increase their market share and maintain dominant shares in different regions. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario. 

Recent Developments:

In July 2022, Lime Company launched a computer vision platform that is designed to power Lime’s safety innovations, initiating with advanced sidewalk detection that helps in reducing pavement riding in its scooters.In June 2021, Cooltra launched electric-scooter sharing service in Paris. By September 2021, the business hoped to have 2, 000 scooters in service around Paris.In February 2024, Yulu Bike company, a leading shared mobility services provider obtained $19.25 million in case of funding by existing investors Magna and Baja Auto. This capital will support the objectives of Yulu for the development of latest products, technologies and will also help in Yulu’s service offerings. In addition, Yulu is planning to utilize its capital to enhance its electric vehicle fleet, and improve operational efficiency and scale up the presence in the existing and latest markets.In September 2021, HellBiz Inc., partnered with Drover AI to integrate Drover AI’s pathpilot safety technology into HellBiz e-scooters. Hellbiz will act as exclusive operator of Pathpilot in Italy, with the first deployment in Milan. PathPilot technology uses artificial intelligence and computer vision to locate e-scooter’s surroundings, reducing clutter and ADA ramp blocking. It verifies parking and automatically reduces speed in geofenced areas, ensuring safety for riders and pedestrians. This advanced technology enhances geo-fencing capabilities in dense urban cities.In May 2023, Uber Technologies, Inc. entered into a multi-year strategic partnership with Waymo. This aim of the partnership was to align Uber’s strategy to enhance its telematics and mobility solutions, providing users with more seamless and efficient transportation options.In October 2021, Dott launched, a new e-bike in Paris. The new e-bikes are integrated into the fleet management system of Dott allowing seamless operations and maintenance. The fleet management system includes advanced telematics, which ensures efficient operations through in-house repairs, maintenance, and logistics.In June 2021, Bird Rider Inc., introduced a smart bikeshare platform and shared e-bikes, offering eco-friendly transportation options with high-powered motors, IoT capabilities, and robust designs for enhanced safety and durability.In July 2020, Uber Technologies Inc. launched first electric scooter “Jump” in Santa Monica. The dockless gadget is remarkable since it does not require specific docks to be parked, and users may rapidly switch scooters if they come across another one while walking to the one they reserved.In August 2023, Lyft Media launched in-app advertising across the Lyft application, expand tablets, rooftop and bikeshare stations, thus giving brands the chance to connect with riders.

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About Us

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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Yiren Digital Accelerates Operating Efficiency Through AI Agent Deployment

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Broader AI adoption improves productivity across asset recovery and enterprise operations

BEIJING, July 23, 2026 /PRNewswire/ — Yiren Digital Ltd. (NYSE: YRD) (“Yiren Digital” or the “Company”), a leading company specializing in financial technology and artificial intelligence innovation across multiple industries in China and global markets, today announced measurable operating efficiency improvements as it continues to deploy AI agents across core enterprise workflows. Broader AI adoption is reducing manual intervention, increasing workforce productivity and creating greater operating leverage by automating high-volume processes across multiple business functions.

These deployments are a key component of Yiren Digital’s “All-in-AI” strategy and its broader transition from AI-assisted productivity toward agent-driven execution. By embedding AI agents into core workflows, the Company is creating reusable operating capabilities that can be deployed across its businesses, supporting greater efficiency and reducing the cost of extending automation into new functions.

“Our objective is not simply to automate individual tasks, but to fundamentally improve how work is performed across the enterprise,” said Mr. Ning Tang, Chairman and Chief Executive Officer of Yiren Digital. “As AI agents take on more of our high-volume, demanding workflows, the productivity gains are becoming a structural part of how we run the business, not a one-time efficiency project. We will continue to deepen AI integration across our existing businesses while extending reusable capabilities into additional verticals.”

The AI deployments are supported by the Company’s proprietary enterprise AI architecture, including MagiCube 2.0, its upgraded multi-agent platform. The platform provides common infrastructure for agents deployed across marketing, customer service, capital operations, risk management, compliance and research and development, with more than 10 reusable foundational capabilities, supporting enterprise-wide execution.

Measurable Operating Impact

Lower manual intervention: The human handling rate in asset-recovery operations decreased from 45.0% to 24.9%, representing a 20.1-percentage-point decline, an approximately 44.6% relative reduction in manual intervention.

Higher staff productivity: The number of service tickets handled per asset-recovery staff member within the applicable Month 1 workflow increased from 358 to 525, an improvement of approximately 47%.

Expanded agent adoption: AI agents accounted for 81% of service tickets within eligible Day 1 asset-recovery workflows in 2025, up from 50% in 2024. The Company also deployed AI agents selectively in later-stage workflows, accounting for 20% of eligible service tickets at Day 4, 14% at Day 16 and 20% at Month 2. Each percentage is calculated separately for the relevant stage and should not be interpreted as a sequential adoption trend.

Enterprise-wide reuse: MagiCube 2.0 supports agent deployment across six enterprise functions, allowing the Company to apply common AI capabilities to a broader range of regulated and high-volume workflows.

Enterprise-scale AI execution: The Fengchao AI voice agent processes approximately 1,500 hours of real-time speech-to-text activity each day. The LingShu intelligent marketing platform executes more than 1,700 tasks daily and generates individualized communication content in an average of 0.6 seconds.

Building Enterprise Operating Leverage Through AI

As AI deployment expands across the enterprise, Yiren Digital is increasingly shifting repetitive, high-volume tasks from human-assisted processes toward agent-driven execution. By combining AI agents with centralized orchestration and governance, the Company is improving operating consistency, strengthening workforce productivity and creating reusable capabilities that increase operating leverage as AI is deployed across additional business functions.

Yiren Digital plans to continue expanding agent-driven workflows across its credit and insurance operations, as part of its ongoing All-in-AI strategy, while strengthening the shared architecture and governance that support enterprise-wide AI deployment. These capabilities are designed to scale across multiple use cases and provide a foundation for the Company’s broader expansion into AI application-layer opportunities, including AI entertainment and AI-assisted language learning.

About Yiren Digital

Yiren Digital Ltd. is a leading company specializing in financial technology and artificial intelligence innovation across multiple industries in China and global markets. The Company leverages advanced artificial intelligence and emerging technologies to enhance customer experience, optimize capital efficiency, and expand financial inclusion. Following the regulatory filing of its in-house developed Large Language Model Zhiyu, and the significant enhancement of its MagiCube Agent platform, Yiren Digital is establishing a new growth engine to accelerate its evolution into an AI-native, multi-industry operating platform extending beyond traditional financial services. For more information, please visit https://ir.yiren.com.

Safe Harbor Statement

This press release contains forward-looking statements. These statements are made under the “safe harbor” provisions of the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “aim,” “anticipate,” “believe,” “estimate,” “expect,” “hope,” “going forward,” “intend,” “ought to,” “plan,” “project,” “potential,” “seek,” “may,” “might,” “can,” “could,” “will,” “would,” “shall,” “should,” “is likely to” and the negative form of these words and other similar expressions. This press release contains forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and as defined in the U.S. Private Securities Litigation Reform Act of 1995. These statements can be identified by terminology such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates,” “target,” “confident,” and similar expressions. Forward-looking statements are based on management’s current expectations, assumptions, and assessments of current market and operating conditions. These statements involve inherent risks, uncertainties, and other factors, many of which are outside the control of the Company, and which could cause actual results to differ materially from those expressed or implied in such statements. Actual results may differ materially from those expressed or implied in forward-looking statements due to a variety of factors and other risks described in the Company’s filings with the U.S. Securities and Exchange Commission. All forward-looking statements speak only as of the date of this press release. The Company undertakes no, and expressly disclaims any, obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required under applicable law.

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SOURCE Yiren Digital Ltd.

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Infinium Edge Launches EdgeSites™, a New Infrastructure Model for Deploying AI Compute at Existing Commercial and Industrial Facilities

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EdgeSites delivers operational AI infrastructure in existing powered buildings — factory-built data center modules, waterless cooling, and ready in months without new construction or grid interconnection required.

SACRAMENTO, Calif., July 23, 2026 /PRNewswire/ — Infinium Edge™ today announced Infinium EdgeSites™, a development program that utilizes existing commercial and industrial facilities to deploy operational AI compute infrastructure. Built around Infinium Edge’s proprietary Edge Thermal Vectoring™ immersion cooling platform, EdgeSites enables high-density GPU deployments in existing buildings that were never designed as data centers — without new construction, without cooling water infrastructure, and without the multi-year grid interconnection timelines that constrain conventional large-scale data center development.

More than 20 million commercial and industrial electricity customers in the US are served by electrical infrastructure sized to peak demand – which industry research shows are utilized at only 40-60% on average. That unused headroom, capacity already contracted, energized, and sitting behind the meter, can support high-density AI compute without adding new load to the grid or waiting on a new interconnection.

At the center of the program is the Vector ONE™ — Edge’s factory-built, self-contained immersion cooling system designed to house 1 MW of AI compute capacity. Vector ONE units are engineered for deployment in standard commercial and industrial buildings, either indoors or outdoors, arriving pre-integrated, fully commissioned and require no municipal water connection. Installations are modular and scalable: additional units can be commissioned as site power and demand allow, without rebuilding the underlying infrastructure and occupy up to 70% less floor space than air-cooled equivalents.

Built for the Shift to Inference

As inference moves to displace training as the dominant AI workload, the growth opportunity is shifting towards small, distributed data centers that can be deployed quickly and sited where demand originates. Conventional data center developments are under compounding pressure from long utility interconnection queues, sometimes lasting years, pressure around water use, and general community and regulatory opposition enacting restrictions. Community opposition and regulatory friction delayed or blocked an estimated $156 billion in planned U.S. data center capacity in 2025 alone.

EdgeSites is purpose-built for the structural shift to inference and addresses key issues stalling conventional data center developments today. Each Vector ONE unit delivers 1 MW of inference-ready capacity inside an existing building, in a market that already has established electrical infrastructure, in a timeline measured in months rather than years. Multiple units can be used in tandem to deploy up to 10 MW of capacity at a single site.  The program converts the distributed inventory of underutilized industrial or commercial electrical capacity in the United States into a nationally scaled inference network. Vector ONE’s dry-cooler loop consumes no municipal water, making EdgeSites viable in markets where evaporative cooling has been restricted or banned.

“The data center industry has been answering an infrastructure shortage with a construction playbook — build new facilities, secure new grid connections, wait years for capacity to come online,” said Robert Schuetzle, CEO of Infinium. “That model cannot keep pace with AI deployment timelines. Infinium EdgeSites operate around different premises: the power already exists, the buildings already exist, and the technology now exists to put them to work. We are making operational what the industry has been treating as stranded.”

Deploying EdgeSites

As demand for AI compute continues to outpace available infrastructure and focuses on distributed inference needs, Infinium Edge is expanding the EdgeSites network with qualified host locations and compute partners.

Commercial and industrial property owners of industrial sites, distribution centers, warehouses, or large commercial properties with available electrical capacity benefit from receiving lease income from infrastructure they already own or control. Infinium Edge manages all aspects of site development and operations for installing and deploying the Vector ONE system. No capital investment or operational responsibility is required from the host.

AI companies, enterprises, and compute operators requiring infrastructure on compressed deployment timelines can access high-density, edge-proximate GPU capacity through a straightforward capacity agreement, priced by the kilowatt-month, with backup power included in the capacity fee. There is no construction to manage, no permitting process to navigate, and no cooling infrastructure to operate or maintain.

Infinium Edge manages the full program from development and installation to operation and monitoring— simplifying development and data center management for AI companies and enterprises.

Reach out to learn more and partner in EdgeSites deployments.

Inquiries: www.infinium.ai/edgesites

About Infinium Edge™
Infinium Edge™ is the advanced AI data center infrastructure platform from Infinium, delivering high-density, sustainable compute through proprietary single-phase immersion cooling technology. Infinium Edge is the only North American producer of Fischer-Tropsch immersion fluids and offers a full-stack platform — including Edge Thermal Vectoring™ platform, Vector ONE™ modular AI Factory units, ETV100 immersion fluids, and integrated monitoring systems — engineered for the thermal and operational demands of AI and high-performance computing at scale. For more information, visit www.infinium.ai.

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SOURCE Infinium

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ChipMOS SCHEDULES SECOND QUARTER 2026 FINANCIAL RESULTS SEMIANNUAL CONFERENCE CALL

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HSINCHU, July 23, 2026 /PRNewswire-FirstCall/ — ChipMOS TECHNOLOGIES INC. (“ChipMOS” or the “Company”) (Taiwan Stock Exchange: 8150 and Nasdaq: IMOS), an industry leading provider of outsourced semiconductor assembly and test services (“OSAT”), today announced that it will report second quarter 2026 results and host a semiannual conference call after the close of trading on the Taiwan Stock Exchange on Tuesday, August 11, 2026.

Investors and analysts are encouraged to participate in the semiannual conference call using the dial-in phone number noted below. A webcast and replay will be available on the Company’s website.

Date: Tuesday, August 11, 2026
Time: 3:00PM Taiwan (3:00AM New York)
Dial-In: +886-2-3396 1191
Password: 1637011 #

Semiannual Conference Call Webcast and Replay: https://www.chipmos.com/chinese/ir/info2.aspx
Replay: Starts Approximately 2 hours after the live call ends

Language: Mandarin

Note: A transcript will be provided on the Company’s website in English following the semiannual conference call to help ensure transparency, and to facilitate a better understanding of the Company’s financial results and operating environment.

About ChipMOS TECHNOLOGIES INC.:
ChipMOS TECHNOLOGIES INC. (“ChipMOS” or the “Company”) (Taiwan Stock Exchange: 8150 and Nasdaq: IMOS) (www.chipmos.com) is an industry leading provider of outsourced semiconductor assembly and test services. With advanced facilities in Hsinchu Science Park, Hsinchu Industrial Park and Southern Taiwan Science Park in Taiwan, ChipMOS is known for its track record of excellence and history of innovation. The Company provides end-to-end assembly and test services to leading fabless semiconductor companies, integrated device manufacturers and independent semiconductor foundries serving virtually all end markets worldwide.

Forward-Looking Statements:
This press release may contain certain forward-looking statements. These forward-looking statements may be identified by words such as ‘believes,’ ‘expects,’ ‘anticipates,’ ‘projects,’ ‘intends,’ ‘should,’ ‘seeks,’ ‘estimates,’ ‘future’ or similar expressions or by discussion of, among other things, strategies, goals, plans or intentions. These statements may include financial projections and estimates and their underlying assumptions, statements regarding current macroeconomic conditions, including the impacts of high inflation, foreign exchange rates and risk of recession, on demand for our products, consumer confidence and financial markets generally; changes in trade regulations, policies, and agreements and the imposition of tariffs that affect our products or operations, including potential new tariffs that may be imposed and our ability to mitigate with respect to future operations, products and services, and statements regarding future performance. Actual results may differ materially in the future from those reflected in forward-looking statements contained in this document, based on a number of important factors and risks, which are more specifically identified in the Company’s most recent U.S. Securities and Exchange Commission (the “SEC”) filings. Further information regarding these risks, uncertainties and other factors are included in the Company’s most recent Annual Report on Form 20-F filed with the SEC and in its other filings with the SEC.

Contacts:

In Taiwan

Jesse Huang

ChipMOS TECHNOLOGIES INC.

+886-6-5052388 ext. 7715

IR@chipmos.com

In the U.S.

David Pasquale

Global IR Partners

+1-914-337-8801

dpasquale@globalirpartners.com

 

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SOURCE ChipMOS TECHNOLOGIES INC.

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