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Generator Market In Data Centers Size 2025-2029

The generator market in data centers size is valued to increase USD 4.63 billion, at a CAGR of 8.6% from 2024 to 2029. Increasing investments in data centers will drive the generator market in data centers.

Major Market Trends & Insights

Europe dominated the market and accounted for a 33% growth during the forecast period.
By Type - Diesel segment was valued at USD 4.88 billion in 2023
By Capacity - Less than 1MW segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 143.59 million
Market Future Opportunities: USD 4634.70 million
CAGR : 8.6%
Europe: Largest market in 2023

Market Summary

The market is a dynamic and evolving sector, driven by the increasing demand for uninterrupted power supply and the growing reliance on data centers for digital transformation. Core technologies, such as fuel cells and lithium-ion batteries, are gaining traction due to their efficiency and environmental benefits. Meanwhile, applications like backup power and prime power continue to dominate the market. Service types, including generator rental and maintenance, are essential for ensuring the reliability and longevity of these systems. Regulations, such as emissions standards, are shaping the market landscape, with an increasing focus on reducing carbon emissions. Looking forward, the next five years are expected to bring significant growth, as investments in data centers continue to surge. For instance, according to recent reports, the data center market is projected to reach a compound annual growth rate of 12% by 2026. Furthermore, the adoption of next-generation power monitoring and management software is on the rise, enabling more efficient energy management and reducing the overall carbon footprint of data centers. Related markets such as the renewable energy sector and energy storage systems are also experiencing significant growth, offering opportunities for collaboration and innovation in the market.

What will be the Size of the Generator Market In Data Centers during the forecast period?

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How is the Generator In Data Centers Market Segmented and what are the key trends of market segmentation?

The generator in data centers industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeDieselGasCapacityLess than 1MW1MW-2MWMore than 2MWVariantTier IIITier IVTier I and IIGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyThe NetherlandsUKAPACChinaIndiaJapanRest of World (ROW)

By Type Insights

The diesel segment is estimated to witness significant growth during the forecast period.

In the dynamic and evolving data center market, diesel generators play a pivotal role in ensuring high-performance and reliability during power fluctuations or transient scenarios. With a wide range of capacity offerings, these generators are the preferred choice for large-scale data center infrastructure due to their cost-effectiveness and safety features. The diesel generator system encompasses various components, such as the diesel engine, generating unit, fuel storage supply, and electrical switchgear. According to recent studies, approximately 65% of data centers rely on diesel generators for backup power. Furthermore, the market for diesel generators in data centers is projected to expand by 25% in the next five years, as more businesses invest in critical power systems to maintain high availability and minimize downtime. Power quality monitoring, generator commissioning, and load balancing are essential aspects of generator maintenance schedules. Fuel cell technology and energy storage solutions are increasingly integrated into these systems to enhance efficiency and reduce noise levels. Power factor correction and generator control systems ensure optimal performance and minimize environmental impact. Environmental impact assessment, power usage effectiveness, and diesel generator efficiency are crucial metrics for data center infrastructure. Predictive maintenance models and fault-tolerant systems enable proactive maintenance and reduce downtime. Generator automation, backup power redundancy, and critical power systems are integral components of high availability systems. The generator installation standards mandate strict adherence to safety regulations and emissions guidelines. Generator exhaust emissions are continuously monitored and reduced through advanced technologies. Remote generator monitoring and paralleling systems enable seamless integration into the power distribution units. In summary, diesel generators are a vital component of data center infrastructure, pr

The size of the Data Center Generator Market market was valued at USD 7.92 billion in 2023 and is projected to reach USD 12.97 billion by 2032, with an expected CAGR of 7.3 % during the forecast period. The data center generator market refers to the supply of emergency power solutions that are to be incorporated in data centers to prevent disruption of functioning. These generators are used for powering critical operations that are required during power failure and to support the IT systems as well as protect against data losses. Small-scale examples are data centres, web hosting service providers, interconnect facilities and carrier-neutral colocation facilities. Recent trends in the market also indicate increasing concern towards the use of energy-saving and eco-safe technologies, like dual-frequency generators including renewable power sources. Also, continuing progress in technology is providing impulses; for instance, IoT for real-time monitoring with predictive maintenance possibilities. By nature, the market will continue to experience elevated growth, especially as the consum Recent developments include: In January 2023, EdgeCloudLink (ECL), a startup offering data center-as-a-service, announced its off-grid modular data centers powered by hydrogen. These data centers will be constructed using 3D printing technology in 1MW units. ECL has initiated its first data center project at its headquarters in Mountain View, California, collaborating with a local building services company and utilizing a construction 3D printer. The innovative design will rely on hydrogen from a local source and incorporate a proprietary liquid cooling system. ECL has assured that these hydrogen-powered data centers will operate without diesel generators, further enhancing their sustainability and efficiency , In May 2023, Kohler Power Systems introduced a web-based version to replace its widely used Power Solutions Center desktop app, which is utilized for generator sizing and KOHLER North American industrial product specifications. The newly developed web-based platform, the Power Solutions Center (PSC), offers users convenient access to technical data directly through KohlerPower.com. Users can retrieve product guide specifications, building information modeling (BIM) files, product drawings, and genset performance information through the free PSC software, enhancing their experience and streamlining the process of accessing essential information , In October 2022, LCL, a Belgian data center company, used hydrotreated vegetable oil (HVO) to replace diesel in its backup generators. The company announced that LCL Brussels-West in Aalst, which invested in six new 2.25 MVA generators, would be the first site to adopt this biodiesel. The facility comprises eight backup generators, including two older 1MW units and six new HVO-powered generators. This transition from diesel to renewable fuel sources demonstrates LCL's commitment to sustainability. It paves the way for DC generator manufacturers to innovate and develop advanced products in line with renewable energy requirements , In November 2022, Kohler Power Systems inaugurated the production expansion at its existing generator manufacturing facility in Wisconsin, U.S. This expansion aims to enhance Kohler's manufacturing capabilities in North America, specifically to cater to critical strategic industries such as data centers. By increasing its production capacity, Kohler Power Systems is well-positioned to meet the growing demands of these industries .

Artifacts for the paper titled Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?.

This artifact repository contains 9 compressed folders, as follows:

ID File Name Description

1 syn_circa.zip CIRCA10, and CIRCA50 datasets for Causal Discovery

2 syn_rcd.zip RCD10, and RCD50 datasets for Causal Discovery

3 syn_causil.zip CausIL10, and CausIL50 datasets for Causal Discovery

4 rca_circa.zip CIRCA10, and CIRCA50 datasets for RCA

5 rca_rcd.zip RCD10, and RCD50 datasets for RCA

6 online-boutique.zip Online Boutique dataset for RCA

7 sock-shop-1.zip Sock Shop 1 dataset for RCA

8 sock-shop-2.zip Sock Shop 2 dataset for RCA

9 train-ticket.zip Train Ticket dataset for RCA

Each zip file contains the generated/collected data from the corresponding data generator or microservice benchmark systems (e.g., online-boutique.zip contains metrics data collected from the Online Boutique system).

Details about the generation of our datasets

1. Synthetic datasets

We use three different synthetic data generators from three previous RCA studies [15, 25, 28] to create the synthetic datasets: CIRCA, RCD, and CausIL data generators. Their mechanisms are as follows:1. CIRCA datagenerator [28] generates a random causal directed acyclic graph (DAG) based on a given number of nodes and edges. From this DAG, time series data for each node is generated using a vector auto-regression (VAR) model. A fault is injected into a node by altering the noise term in the VAR model for two timestamps. 2. RCD data generator [25] uses the pyAgrum package [3] to generate a random DAG based on a given number of nodes, subsequently generating discrete time series data for each node, with values ranging from 0 to 5. A fault is introduced into a node by changing its conditional probability distribution.3. CausIL data generator [15] generates causal graphs and time series data that simulate the behavior of microservice systems. It first constructs a DAG of services and metrics based on domain knowledge, then generates metric data for each node of the DAG using regressors trained on real metrics data. Unlike the CIRCA and RCD data generators, the CausIL data generator does not have the capability to inject faults.To create our synthetic datasets, we first generate 10 DAGs whose nodes range from 10 to 50 for each of the synthetic data generators. Next, we generate fault-free datasets using these DAGs with different seedings, resulting in 100 cases for the CIRCA and RCD generators and 10 cases for the CausIL generator. We then create faulty datasets by introducing ten faults into each DAG and generating the corresponding faulty data, yielding 100 cases for the CIRCA and RCD data generators. The fault-free datasets (e.g. syn_rcd, syn_circa) are used to evaluate causal discovery methods, while the faulty datasets (e.g. rca_rcd, rca_circa) are used to assess RCA methods.

1. Data collected from benchmark microservice systems

We deploy three popular benchmark microservice systems: Sock Shop [6], Online Boutique [4], and Train Ticket [8], on a four-node Kubernetes cluster hosted by AWS. Next, we use the Istio service mesh [2] with Prometheus [5] and cAdvisor [1] to monitor and collect resource-level and service-level metrics of all services, as in previous works [ 25 , 39, 59 ]. To generate traffic, we use the load generators provided by these systems and customise them to explore all services with 100 to 200 users concurrently. We then introduce five common faults (CPU hog, memory leak, disk IO stress, network delay, and packet loss) into five different services within each system. Finally, we collect metrics data before and after the fault injection operation. An overview of our setup is presented in the Figure below.

Code

The code to reproduce the experimental results in the paper is available at https://github.com/phamquiluan/RCAEval.

References

As in our paper.

Synthetic Data Generator for Telco AI Market Outlook

According to our latest research, the global Synthetic Data Generator for Telco AI market size reached USD 1.48 billion in 2024, reflecting the growing adoption of artificial intelligence and machine learning technologies across the telecommunications sector. The market is projected to expand at a robust CAGR of 33.2% from 2025 to 2033, reaching a forecasted value of USD 16.45 billion by 2033. This remarkable growth is primarily fueled by the increasing demand for high-quality, privacy-compliant training data to power AI-driven telco solutions, alongside the rapid digital transformation initiatives being undertaken by telecom operators worldwide.

One of the primary growth drivers for the Synthetic Data Generator for Telco AI market is the exponential rise in data privacy regulations and concerns surrounding the use of real customer data for AI model training. As telecom operators handle massive volumes of sensitive user information, compliance with regulations such as GDPR, CCPA, and other local data protection laws has become paramount. Synthetic data generators provide a viable solution by creating realistic, anonymized datasets that mimic real-world scenarios without exposing actual customer information. This enables telcos to accelerate AI development, enhance model accuracy, and reduce the risk of data breaches, thus fostering the widespread adoption of synthetic data generation tools across the industry.

Another significant factor propelling market growth is the increasing complexity of telco networks and the need for advanced analytics to optimize operations. With the deployment of 5G, IoT, and edge computing, telecommunications infrastructure has become more intricate, generating vast amounts of structured and unstructured data. Synthetic data generators empower telcos to simulate rare network events, test AI algorithms under diverse scenarios, and improve predictive maintenance, fraud detection, and customer analytics. This capability not only enhances operational efficiency but also reduces downtime and improves customer satisfaction, further driving the integration of synthetic data solutions in telco AI workflows.

Furthermore, the shift towards digital transformation and the adoption of cloud-native technologies by telecom operators are accelerating the demand for scalable, flexible synthetic data generation platforms. As telcos modernize their IT infrastructure and embrace cloud-based AI solutions, the need for on-demand, customizable synthetic datasets has surged. Synthetic data generators enable seamless integration with cloud platforms, support agile development cycles, and facilitate collaboration across distributed teams. This trend is expected to continue as telecom operators invest in next-generation AI applications to stay competitive, improve service delivery, and unlock new revenue streams.

Regionally, North America currently dominates the Synthetic Data Generator for Telco AI market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The strong presence of leading telecom operators, advanced AI research capabilities, and a mature regulatory environment in these regions contribute to the rapid adoption of synthetic data solutions. Asia Pacific is poised for the fastest growth over the forecast period, driven by the expansion of 5G networks, increasing investments in AI, and the proliferation of connected devices. Meanwhile, Latin America and the Middle East & Africa are witnessing steady growth as telcos in these regions accelerate their digital transformation journeys, albeit from a smaller base.

Component Analysis

The Synthetic Data Generator for Telco AI market is segmented by component into Software and Services. Software solutions form the backbone of this market, offering advanced tools for data synthesis, simulation, and integration with existing telco AI workflows. These platforms are designed to generate high-fid

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Artificial Intelligence Text Generator Market Size 2024-2028

The artificial intelligence (AI) text generator market size is forecast to increase by USD 908.2 million at a CAGR of 21.22% between 2023 and 2028.

The market is experiencing significant growth due to several key trends. One of these trends is the increasing popularity of AI generators in various sectors, including education for e-learning applications. Another trend is the growing importance of speech-to-text technology, which is becoming increasingly essential for improving productivity and accessibility. However, data privacy and security concerns remain a challenge for the market, as generators process and store vast amounts of sensitive information. It is crucial for market participants to address these concerns through strong data security measures and transparent data handling practices to ensure customer trust and compliance with regulations. Overall, the AI generator market is poised for continued growth as it offers significant benefits in terms of efficiency, accuracy, and accessibility.

What will be the Size of the Artificial Intelligence (AI) Text Generator Market During the Forecast Period?

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The market is experiencing significant growth as businesses and organizations seek to automate content creation across various industries. Driven by technological advancements in machine learning (ML) and natural language processing, AI generators are increasingly being adopted for downstream applications in sectors such as education, manufacturing, and e-commerce. 
Moreover, these systems enable the creation of personalized content for global audiences in multiple languages, providing a competitive edge for businesses in an interconnected Internet economy. However, responsible AI practices are crucial to mitigate risks associated with biased content, misinformation, misuse, and potential misrepresentation.

How is this Artificial Intelligence (AI) Text Generator Industry segmented and which is the largest segment?

The artificial intelligence (AI) text generator industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Component

  Solution
  Service


Application

  Text to text
  Speech to text
  Image/video to text


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    India


  South America



  Middle East and Africa

By Component Insights

The solution segment is estimated to witness significant growth during the forecast period.

Artificial Intelligence (AI) text generators have gained significant traction in various industries due to their efficiency and cost-effectiveness in content creation. These solutions utilize machine learning algorithms, such as Deep Neural Networks, to analyze and learn from vast datasets of human-written text. By predicting the most probable word or sequence of words based on patterns and relationships identified In the training data, AIgenerators produce personalized content for multiple languages and global audiences. The application spans across industries, including education, manufacturing, e-commerce, and entertainment & media. In the education industry, AI generators assist in creating personalized learning materials.

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The solution segment was valued at USD 184.50 million in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 33% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The North American market holds the largest share in the market, driven by the region's technological advancements and increasing adoption of AI in various industries. AI text generators are increasingly utilized for content creation, customer service, virtual assistants, and chatbots, catering to the growing demand for high-quality, personalized content in sectors such as e-commerce and digital marketing. Moreover, the presence of tech giants like Google, Microsoft, and Amazon in North America, who are investing significantly in AI and machine learning, further fuels market growth. AI generators employ Machine Learning algorithms, Deep Neural Networks, and Natural Language Processing to generate content in multiple languages for global audiences.

Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges.

Creating a robust employee dataset for data analysis and visualization involves several key fields that capture different aspects of an employee's information. Here's a list of fields you might consider including: Employee ID: A unique identifier for each employee. Name: First name and last name of the employee. Gender: Male, female, non-binary, etc. Date of Birth: Birthdate of the employee. Email Address: Contact email of the employee. Phone Number: Contact number of the employee. Address: Home or work address of the employee. Department: The department the employee belongs to (e.g., HR, Marketing, Engineering, etc.). Job Title: The specific job title of the employee. Manager ID: ID of the employee's manager. Hire Date: Date when the employee was hired. Salary: Employee's salary or compensation. Employment Status: Full-time, part-time, contractor, etc. Employee Type: Regular, temporary, contract, etc. Education Level: Highest level of education attained by the employee. Certifications: Any relevant certifications the employee holds. Skills: Specific skills or expertise possessed by the employee. Performance Ratings: Ratings or evaluations of employee performance. Work Experience: Previous work experience of the employee. Benefits Enrollment: Information on benefits chosen by the employee (e.g., healthcare plan, retirement plan, etc.). Work Location: Physical location where the employee works. Work Hours: Regular working hours or shifts of the employee. Employee Status: Active, on leave, terminated, etc. Emergency Contact: Contact information of the employee's emergency contact person. Employee Satisfaction Survey Responses: Data from employee satisfaction surveys, if applicable.

Code Url: https://github.com/intellisenseCodez/faker-data-generator

Segmented Flow Generator for Serial Crystallography at the European X-Ray Free Electron Laser

In this research, an experimental test rig of a dual-piston air-driven free-piston linear expander (FPLE) is established using the FPE concept. A linear generator is used to convert the mechanical work of the pistons into electricity during the expansion process. The piston dynamics, the output voltage of the generator, and the expander operation frequency, as well as the system energy conversion efficiency are identified. It is observed that the piston displacement profile is similar with a sinusoidal wave. The piston is found to run at relative high speed during the middle stroke, and peak velocity is usually achieved when the piston approaches the middle stroke. The output voltage of the generator is sensitive with the piston velocity. With higher driven pressure, the expander frequency is higher. The energy conversion efficiency increases with higher driven pressure and can reach up to 55% with a driven pressure of 3.75 bar. This research presents a fundamental analysis of a FPLE prototype, which can be used as a guidance for the future design of this FPLE type.

This dataset provides an overview of various AI tools, capturing key attributes that highlight their popularity, subscription models, and the categories they fall under. It can serve as a valuable resource for analyzing trends in AI tool usage, comparing different tools based on user feedback, and understanding the market positioning of these tools.

Columns: Name: The name of the AI tool, representing various applications and services in the AI domain. Votes: The number of votes or ratings each tool has received, reflecting its popularity and user acceptance. Subscription: The type of subscription model the tool offers, indicating whether it is free, freemium (a mix of free and paid features), or paid. Category: A list of categories associated with each tool, identifying the primary industries or use cases it caters to, such as: Human Resources Legal AI Chatbots Marketing Education Video Generators Writing Generators Storytellers Presentations Startup Tools Dataset Use Cases: Market Analysis: Understand which AI tools are most popular based on user votes and explore trends across different categories. Product Comparison: Compare AI tools based on their subscription models, identifying which tools offer free or freemium options versus paid-only models. Category Insights: Analyze the distribution of AI tools across various categories to see where innovation and adoption are most concentrated.

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Portable Generator Market Size 2025-2029

The portable generator market size is forecast to increase by USD 1.75 billion at a CAGR of 6% between 2024 and 2029.

The market is experiencing significant growth due to the trends of rapid urbanization and industrialization. These factors have led to an increasing demand for reliable power sources, particularly in remote areas and during power outages. Another key trend is the emergence of dual-fuel generator technology, which offers the flexibility of using multiple fuel types, enhancing the generator's versatility and efficiency. Additionally, emerging alternatives to generators, such as solar and wind energy solutions, are gaining popularity as sustainable energy options. These trends, along with advancements in technology and increasing demand for portable power solutions, are expected to drive the growth of the market.

What will be the Size of the Portable Generator Market During the Forecast Period?

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The market caters to the growing demand for uninterrupted power supply during power outages caused by grid infrastructure instability, harsh weather conditions such as heavy rains, heat waves, storms, fog, and blackouts in metro cities, construction sites, commercial spaces, business parks, housing societies, apartments, and recreational vehicles. Portable generators offer a flexible power delivery solution for various applications, including camping, outdoor events, tailgating, and backup power for critical loads In the absence of traditional power supply. The increasing prevalence of power consumption in our daily lives, coupled with the unpredictability of electricity availability, fuels the market's growth. Portable generators provide a reliable backup power solution, ensuring continuity of operations and mitigating potential losses.

How is this Portable Generator Industry segmented and which is the largest segment?

The portable generator industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Gasoline
  Diesel
  Gas


End-user

  Residential
  Industrial and infrastructure
  Commercial


Geography

  APAC

    China
    India
    Japan


  Europe

    Germany
    UK
    France


  North America

    Canada
    US


  South America

    Brazil


  Middle East and Africa

By Type Insights

The gasoline segment is estimated to witness significant growth during the forecast period.

Portable generators, specifically those fueled by gasoline, hold a substantial market position due to their cost-effectiveness and user-friendly design. These generators cater to various sectors, including residential applications, small businesses, and outdoor activities. Their versatility makes them an indispensable power source for essential appliances, tools, and equipment during power outages, outdoor events, camping trips, and tailgating parties. Gasoline generators are valued for their lightweight and portable nature, minimal maintenance requirements, and dependable performance. Honda Power Equipment is a notable market player, recognized for its high-performance gasoline-powered generator models. These generators ensure uninterrupted power supply during extreme weather conditions, natural disasters, and power grid vulnerabilities.

They are essential for emergency services, medical equipment, and battery charging needs. With the increasing emphasis on energy storage systems and eco-friendly fuel options, the market is witnessing the emergence of hybrid and dual fuel generators.

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The Gasoline segment was valued at USD 2.19 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 36% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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In developing countries, particularly in Asia Pacific, the rapid industrialization and urbanization have led to a significant increase in population growth. By 2023, the urban population worldwide accounted for approximately 55%-60% of the total global population, with major Asian countries (South and Southeast Asia) contributing significantly to this increase. The escalating population growth has resulted in a surge in electricity demand. Inadequate power infrastructure In these countries often results in power outages, necessitating the use of portable generators as backup power solutions. These devices are essential for various applications, including

Data Lineage Report Generator Market Outlook

According to our latest research, the global Data Lineage Report Generator market size in 2024 is valued at USD 1.42 billion, with a robust compound annual growth rate (CAGR) of 21.3% projected from 2025 to 2033. By 2033, the market is expected to reach approximately USD 8.93 billion. This exceptional growth is primarily driven by the escalating need for advanced data governance, regulatory compliance, and the increasing complexity of enterprise data environments. As organizations worldwide continue to prioritize data transparency and regulatory adherence, the demand for comprehensive data lineage solutions is anticipated to surge significantly.

A primary growth factor fueling the Data Lineage Report Generator market is the mounting regulatory pressure across industries such as BFSI, healthcare, and government. Regulatory frameworks like GDPR, HIPAA, and SOX mandate meticulous tracking and documentation of data flow, transformation, and usage within organizations. Data lineage solutions empower enterprises to visualize, audit, and report on the entire lifecycle of data, ensuring compliance and minimizing risks associated with data breaches or mismanagement. As data privacy regulations become more stringent and widespread, organizations are compelled to invest in robust lineage tools that streamline compliance processes, enhance transparency, and enable efficient auditing. This regulatory-driven adoption is expected to remain a key catalyst for market expansion over the forecast period.

Another significant driver is the exponential growth of data volumes and the increasing adoption of cloud-based and hybrid data architectures. Modern enterprises are leveraging diverse data sources, storage platforms, and analytics tools, resulting in highly complex data ecosystems. Data lineage report generators play a critical role in mapping these intricate data flows, facilitating seamless integration, and providing actionable insights for data governance and business intelligence initiatives. The proliferation of big data, coupled with the rising trend of digital transformation, compels organizations to invest in advanced lineage solutions that offer scalability, real-time tracking, and automation. As businesses strive to harness the full potential of their data assets, the need for sophisticated lineage tools becomes indispensable, further propelling market growth.

Technological advancements and the integration of artificial intelligence (AI) and machine learning (ML) into data lineage tools are also contributing to market expansion. Modern data lineage report generators are increasingly equipped with AI-driven automation capabilities that enhance data discovery, anomaly detection, and impact analysis. These intelligent features not only reduce manual effort but also improve the accuracy and efficiency of lineage tracking. Furthermore, the growing emphasis on data democratization and self-service analytics within organizations is driving the adoption of user-friendly, intuitive lineage solutions that cater to both technical and non-technical stakeholders. As vendors continue to innovate and introduce cutting-edge functionalities, the market is poised for sustained growth and evolution.

From a regional perspective, North America currently dominates the Data Lineage Report Generator market, accounting for the largest revenue share in 2024. The region's leadership is attributed to the high concentration of data-centric industries, early technology adoption, and stringent regulatory landscape. However, the Asia Pacific region is anticipated to exhibit the fastest growth rate during the forecast period, driven by rapid digitalization, increasing regulatory awareness, and significant investments in data management infrastructure. Europe also holds a substantial market share, fueled by robust data protection laws and a mature enterprise sector. Latin America and the Middle East & Africa are emerging markets, gradually embracing data lineage solutions as organizations recognize the importance of data governance and compliance.

The global Silent Generating Set market is poised for substantial growth, projected to reach an estimated USD 25,800 million in 2025. Driven by escalating demand for reliable and noise-compliant power solutions across various sectors, the market is expected to expand at a robust Compound Annual Growth Rate (CAGR) of 7.2% from 2025 to 2033. This upward trajectory is significantly influenced by increasing urbanization, a growing need for uninterrupted power supply in critical infrastructure like healthcare and data centers, and the rising adoption of portable silent generators for commercial and residential applications. Furthermore, stringent environmental regulations and a growing awareness of noise pollution are propelling the demand for these advanced power solutions, which offer a more sustainable and occupant-friendly alternative to traditional generators. Technological advancements, including the integration of smart features, enhanced fuel efficiency, and improved noise reduction technologies, are further bolstering market expansion. The market's expansion is also supported by significant investments in infrastructure development across emerging economies, particularly in the Asia Pacific region. Key drivers include the need for backup power during grid outages, the growth of the construction industry requiring temporary power solutions, and the increasing prevalence of outdoor events and industrial operations that necessitate quiet and efficient power generation. While the market benefits from these strong growth factors, potential restraints such as the high initial cost of silent generators compared to conventional models and fluctuations in raw material prices could present challenges. Nevertheless, the overwhelming demand for cleaner, quieter, and more efficient power generation solutions, coupled with ongoing innovation by leading companies such as Honda, Cummins, and Generac, ensures a promising future for the Silent Generating Set market. This in-depth report offers a definitive analysis of the global Silent Generating Set market, projecting a robust growth trajectory with an estimated market value exceeding 3.5 billion USD by 2030. Delving into the intricate landscape of quiet generator technology, this research provides actionable intelligence for stakeholders across the household, commercial, and industrial sectors. We explore the strategic initiatives of leading manufacturers such as Honda, Kirloskar, Cummins, Generac Mobile Products, Perkins, and MTU, alongside niche players like Westinpower and Teksan, to understand their market penetration and innovation strategies. The report navigates the evolving regulatory environment, the impact of product substitutes, and the significant consolidation trends within the industry. With a focus on noise reduction technology, portable generators, and standby power solutions, this study equips businesses with the insights needed to capitalize on emerging opportunities and overcome market challenges.

Supporting data for the Phase 2 of the Duke Energy Carbon-Free Resource Integration Study, which studied pathways to meeting emissions reduction targets in the Carolinas. The data sets include results from two modeling components of the study: capacity expansion modeling using ReEDS and operational modeling using PLEXOS. Details on the data features included from each component are outlined below. For information on the methods, scenarios, or context for these data, as well as further explanation of NREL's collaboration with Duke Energy, can be found at https://www.nrel.gov/grid/carbon-free-integration-study.html. Capacity expansion results: Installed capacity (GW, annual by fuel type for the Carolinas) Firm capacity estimates (GW, seasonal by fuel type for the Carolinas) Undiscounted system cost (billion 2020$ USD, annual by cost category) CO2 emissions (million metric tons, annual for North Carolina / Total Carolinas) Annual generation (TWh, annual by fuel type for the Carolinas) Transmission investment (GW, total capacity for 2030 and 2050 by transmission corridor) Capacity expansion results are provided for all ReEDS cases (including sensitivities) and are supplied as csv files. Operational modeling results: Generator information (summarized by generator category): Installed capacity (MW, annual) Available capacity (MW, hourly) Generation (MW, hourly) Curtailment (MW, hourly) Charging (MW, hourly) Operating reserve provision (MW-h, hourly) CO2 emissions (metric ton, hourly) Fuel offtakes (million BTU, hourly) Cost information (summarized by cost type and generator type): Fuel cost (2020$ USD, hourly) Start & shutdown cost (2020$ USD, hourly) VO&M cost (2020$ USD, hourly) Region information (summarized by region): Load (MW, hourly) Net interchange (MW, hourly) Operational modeling results are provided in two sets: the nodal model results, which focus on analysis of the 2030 timeframe; and the zonal model results, which focus on analysis of the 2050 timeframe. Results are provided in h5 file format.

Gas Generator Sets Market was valued at $9.31 B in 2023, and is projected to reach $USD 16.49 B by 2032, at a CAGR of 6.68% from 2023 to 2032.

Data Center Black Start Generator Market Outlook

As per our latest research, the global data center black start generator market size stood at USD 2.35 billion in 2024, reflecting robust growth driven by the surging demand for uninterrupted power supply in mission-critical data center environments. The market is projected to expand at a CAGR of 6.9% from 2025 to 2033, reaching an estimated USD 4.33 billion by the end of the forecast period. This growth is primarily attributed to the increasing frequency of power outages, the proliferation of hyperscale data centers, and the heightened focus on disaster recovery and business continuity planning across various industries.

One of the primary growth drivers for the data center black start generator market is the exponential increase in global data traffic, fueled by the rapid adoption of cloud computing, IoT, and artificial intelligence. With data centers functioning as the backbone of the digital economy, any interruption in power supply can result in significant financial and reputational losses. Black start generators play a pivotal role in ensuring that data centers can resume operations quickly after a total power outage, without relying on external power sources. This capability is especially critical in regions prone to natural disasters or grid instability, where the risk of prolonged outages is higher. As organizations continue to invest in digital transformation and edge computing, the demand for reliable backup power solutions, such as black start generators, is expected to grow substantially.

Another significant factor propelling market growth is the stringent regulatory landscape governing data center operations. Governments and industry bodies worldwide have introduced rigorous standards for data center uptime, disaster recovery, and energy efficiency. Compliance with these standards often necessitates the deployment of advanced backup power systems, including black start generators capable of rapid and autonomous operation. Additionally, the increasing adoption of renewable energy sources in data center operations has introduced new complexities in power management, further underscoring the need for robust black start solutions that can seamlessly integrate with hybrid power architectures. The push towards sustainability is also driving innovation in generator technology, with manufacturers developing more efficient, lower-emission models to align with environmental regulations.

The ongoing expansion of hyperscale and colocation data centers represents another crucial growth avenue for the market. Major cloud service providers and enterprises are building larger, more sophisticated facilities to accommodate the surging demand for data processing and storage. These mega data centers require highly reliable and scalable backup power infrastructure to maintain service continuity during grid failures. Black start generators, with their ability to independently initiate power restoration, are increasingly being specified in new data center projects as part of comprehensive disaster recovery strategies. Furthermore, the trend towards modular and prefabricated data center designs is creating opportunities for the integration of compact and flexible black start generator solutions tailored to specific site requirements.

From a regional perspective, North America continues to dominate the global data center black start generator market, accounting for the largest revenue share in 2024. This leadership is driven by the high concentration of data centers, advanced IT infrastructure, and a strong focus on business continuity planning. However, the Asia Pacific region is emerging as the fastest-growing market, supported by rapid digitalization, government initiatives to build smart cities, and increasing investments in hyperscale data centers by both domestic and international players. Europe also represents a significant market, characterized by stringent energy regulations and a mature data center ecosystem. The Middle East and Africa, while currently smaller in scale, are witnessing rising demand for reliable backup power solutions as digital infrastructure development accelerates across the region.

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The radio frequency signal generator market insights helps market vendors to identify the challenges that will affect the revenue of the market players and may hinder the growth of the radio frequency signal generator market during the forecast period.

Rise in demand for rental test equipment will be one of the key challenges that the market vendors have to overcome during the forecast period. To gather more information regarding the market challenges, click here for a free sample report.

We conducted a two-wave personal network study in a rural Romanian community, interviewing the same participants (n = 68) using two name generators. Wave 1 employed a fixed-choice generator (n = 25) focused on emotional closeness; Wave 2 used a free-choice generator based on frequent interaction. We compared tie characteristics and assessed retention across waves. Alters who were kin, co-residents, or emotionally close were more likely to be retained, regardless of generator type. These findings underscore the role of relational attributes in personal network stability and highlight design considerations for network studies in resource-limited, culturally distinct settings.

Key-words: personal networks, name generators, rural fieldwork, tie retention, panel studies, longitudinal design

This data package corresponds to the paper Comparing name generator designs in rural panel studies: analyzing alter retention and change (by MG Hâncean, J Lerner, C McCarty). The data were produced within the 4P-CAN project, HORIZON-MISS-2022-CANCER-01, project ID 101104432, programme HORIZON https://4p-can.eu/. This data package includes personal network information collected across two survey waves (Wave 1 and Wave 2). The study tracks focal participants (“egos”) and the individuals they name as social contacts (“alters”). There are 68 egos (study participants or cases) within the data package. Three data files are included in the present data package: Wave 1 (Wave 1 information; myData1.rds), Wave 2 (Wave 2 information; myData2.rds) and a data file that includes measurements from Wave 1 and Wave 2 (myData.rds). Each data file includes detailed information about egos and their alters, such as demographic characteristics (age, sex, education), family ties, co-residence, and interaction features such as closeness, meeting frequency, and relationship status Key features: • Ego-level variables include age, sex, and education; • Alter-level variables include age, sex, education, relationship to the ego, and co-residence; • Dyadic attributes include closeness, meeting frequency, and relationship status; • Metadata include wave information, operator (interviewer) ID, and retention status across waves. This data package is structured to support the replication of the analysis reported in the manuscript Comparing name generator designs in rural panel studies: analyzing alter retention and change (by MG Hâncean, J Lerner, C McCarty). For the code, check Supplementary Material. Comparing name generator designs in rural panel studies: analyzing alter retention and change (by MG Hâncean, J Lerner, C McCarty) available as part of the Replication data for: Comparing name generator designs in rural panel studies, MG Hâncean, J Lerner, C McCarty. Zenodo DOI: https://doi.org/10.5281/zenodo.15322440(2025). This data package also includes the files used for the additional analyses (i.e., myData1_ego.rds, alterDataW11.rds, mynet_participants11.rds, myattr_participants.rds). All the files included in this data package are available in the .rds file format. These can be manipulated using RStudio (version 2024.12.1+563). For further details, please check the README file.

The Global AI Voice Generator Market Size Was Worth USD 3.57 Billion in 2023 and Is Expected To Reach USD 10.59 Billion by 2032, CAGR of 20%.

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US Low-Capacity Portable Generator Market Size 2024-2028

The US low-capacity portable generator market size is forecast to increase by USD 36.3 billion at a CAGR of 9.54% between 2023 and 2028.

The low-capacity portable generator market is witnessing significant growth due to the rising instances of power grid failure and power outages, which necessitate the use of backup power sources. Another trend driving market growth is the increasing adoption of dual-fuel systems in low-capacity portable generators, which offer the benefits of both gasoline and propane fuels. Additionally, emerging alternatives to low-capacity portable generators, such as solar panels and fuel cells, are gaining popularity due to their eco-friendly and cost-effective nature. These factors are expected to fuel market growth in the coming years.

What will be the size of the US Low-Capacity Portable Generator Market during the forecast period?

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The low-capacity portable generator market is witnessing significant growth due to the increasing demand for backup power solutions during power outages caused by various weather conditions, including heavy rain, heat waves, storms, hurricanes, and fog. These generators are essential for providing power during emergencies and are widely used for backup power supplies in residential, commercial, and industrial applications. Portable generators come in various sizes and types, including inverter systems, which offer better fuel economy and reduced greenhouse gas emissions. Lightweight models with smart connectivity and remote monitoring capabilities are gaining popularity due to their ease of use and advanced control capabilities.



Fuel efficiency is a critical factor in the portable generator market, with consumers preferring models that run on cleaner fuels such as natural gas or propane. The market is also witnessing an increasing trend towards the use of portable generators for non-emergency applications, such as camping, tailgating, and powering RVs. Medical devices, electricity transmission, and power infrastructure are other sectors that rely on backup power solutions to ensure uninterrupted power supply. Coal, gas, and nuclear power are the primary sources of power generation, but portable generators offer a more convenient and cost-effective alternative for backup power needs.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Product

  Conventional generator
  Inverter generator


Type

  Gasoline
  Gas
  Diesel


End-user

  Residential
  Commercial


Geography

  US

By Product Insights

The conventional generator segment is estimated to witness significant growth during the forecast period.

Portable generators serve as essential backup power solutions for various applications, including off-grid activities, outdoor events, recreational vehicles, and even medical devices. These lightweight models offer the convenience of portable power with advanced features such as inverter systems for clean power, fuel economy, and noise reduction. Fuel efficiency and budget-conscious considerations have led to the increasing popularity of dual fuel capability and propane compatibility. Moreover, smart connectivity, remote monitoring, and control capabilities enhance user experience and ensure optimal performance. Fuel type options include gasoline, diesel, and propane generators, catering to diverse power output requirements. Renewable energy sources are also gaining traction as an alternative power source for portable generators.

Weather conditions, such as heavy rain, heat waves, storms, hurricanes, and fog, necessitate the need for reliable backup power. Portable generators provide essential power during these situations, ensuring electricity demand is met. Tailgating, RVs, camping, and industrial automation are some industries that significantly benefit from portable generators. Fuel economy and greenhouse gas emissions are crucial factors in the selection process for these applications.

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The conventional generator segment was valued at USD 25.70 million in 2018 and showed a gradual increase during the forecast period.

Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in adoption of US Low-Capacity Portable Generator Market?

Rising instances of power grid failure and power outages is the key driver of the market.

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Snapshot img { margin: 10px !important; } Hand Crank Power Generator Market Size 2025-2029

The hand crank power generator market size is forecast to increase by USD 10489.5 thousand, at a CAGR of 8.3% between 2024 and 2029.

The global hand crank power generator market is experiencing a significant expansion, primarily driven by the escalating frequency of extreme weather events, which heightens the focus on emergency preparedness. This shift transforms these devices into essential tools for household safety. A key trend supporting this is the evolution of the portable generator from a single-function item into a comprehensive, multifunctional survival hub integrating radios, lights, and power banks. This development enhances the value proposition for consumers seeking consolidated and convenient solutions. The integration of such features makes the hand crank generator a vital component in the broader electric generators market, catering to a growing demand for reliable off-grid power sources and personal resilience in the face of increasing grid vulnerability and climate-induced uncertainty.Despite its growing relevance, the market's trajectory is moderated by intense competition from technologically superior and more convenient substitute products. The widespread availability of high-capacity portable power banks and increasingly efficient portable solar chargers presents a formidable challenge, as these alternatives offer an effort-free and silent user experience that aligns with modern consumer expectations. This competition relegates the hand crank generator to a niche position as a last-resort emergency device for many potential buyers. This dynamic limits its overall market potential and constrains pricing power, impacting investment in significant research and development. The market must therefore emphasize its unique value of absolute reliability in any condition.

What will be the Size of the Hand Crank Power Generator Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe global hand crank power generator market's evolution is marked by a shift from niche applications to mainstream adoption, driven by the need for reliable off-grid power solutions and disaster relief equipment. Continuous innovation in manual power generation focuses on enhancing mechanical-to-electrical conversion efficiency to better serve as a last resort power source. Advances in the broader electric generators market, particularly in battery technology, are being integrated to improve functionality.Development efforts are centered on creating a more effective human-powered generator by incorporating higher-capacity internal lithium-ion battery systems and smart-charging technology. This transforms the device from a simple dynamo-based generator into a versatile power bank with power bank functionality. The integration of features like an integrated LED flashlight and a crank-powered radio into a single, water-resistant casing enhances its value as an emergency preparedness gear.

How is this Hand Crank Power Generator Industry segmented?

The hand crank power generator industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD thousand" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments. ProductPortable generatorsStationary generatorsDistribution channelOnlineOfflineEnd-userResidentialCommercialOthersGeographyAPACChinaJapanIndiaSouth KoreaAustraliaIndonesiaNorth AmericaUSCanadaMexicoEuropeGermanyUKFranceItalyThe NetherlandsSpainSouth AmericaBrazilArgentinaColombiaMiddle East and AfricaUAESouth AfricaTurkeyRest of World (ROW)

By Product Insights

The portable generators segment is estimated to witness significant growth during the forecast period.The portable generators segment represents the majority of the global hand crank power generator market, defined by its compact size, lightweight construction, and all-in-one design. The core value of these portable charging devices is providing a self-sufficient and reliable source of power independent of grid electricity or fuel. This segment is characterized by multifunctional tools that integrate a dynamo with a radio, flashlight, and an internal lithium-ion battery, making it a cornerstone of both emergency preparedness kits and outdoor recreational gear.Growth in this segment is driven by the convergence of emergency functions into a single device, which enhances its value for consumers. In a market where South America contributes 5.03% to the growth, technological advancements are continuously shaping the segment. Trends are moving toward more efficient cranking mechanisms, increased internal battery capacities, and the adoption of universal charging standards like USB-C. This