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Data Wrangling Market to Expand by USD 1.49 Billion from 2024-2028, Benefits of Data Wrangling Solutions Drive Revenue, Report on AI-Redefined Market Landscape – Technavio

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NEW YORK, Nov. 7, 2024 /PRNewswire/ — Report with market evolution powered by AI – The global data wrangling market  size is estimated to grow by USD 1.49 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of  14.8%  during the forecast period. Numerous benefits provided by data wrangling solutions is driving market growth, with a trend towards rising need of technology in healthcare sector. However, lack of awareness of data wrangling tools among smes  poses a challenge.Key market players include Altair Engineering Inc., Alteryx Inc., Dataiku Inc., DataRobot Inc., Dell Technologies Inc., eXalt Solutions Inc., Hitachi Ltd., Ideata Analytics, Impetus Technologies Inc., Innovative Routines International (IRI) Inc., International Business Machines Corp., Medallia Inc., Microsoft Corp., Oracle Corp., Rapid Insight Inc., SAS Institute Inc., Teradata Corp., TIBCO Software Inc., Wipro Ltd., and Zoho Corp. Pvt. Ltd..

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Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

Sector (BFSI, Government and public sector, Healthcare, and Others) and Geography (North America, Europe, APAC, Middle East and Africa, and South America)

Region Covered

North America, Europe, APAC, Middle East and Africa, and South America

Key companies profiled

Altair Engineering Inc., Alteryx Inc., Dataiku Inc., DataRobot Inc., Dell Technologies Inc., eXalt Solutions Inc., Hitachi Ltd., Ideata Analytics, Impetus Technologies Inc., Innovative Routines International (IRI) Inc., International Business Machines Corp., Medallia Inc., Microsoft Corp., Oracle Corp., Rapid Insight Inc., SAS Institute Inc., Teradata Corp., TIBCO Software Inc., Wipro Ltd., and Zoho Corp. Pvt. Ltd.

Key Market Trends Fueling Growth

The healthcare sector encounters numerous challenges, such as managing disease outbreaks and enhancing operational efficiency. With an influx of daily data, including patient details, medical history, treatment records, and payment information, healthcare organizations require solutions to prepare, clean, and format this data for insightful analysis. Data wrangling plays a vital role in this process by transforming raw data into structured formats. During the COVID-19 pandemic, data wrangling tools became essential for cleaning and organizing patient data, enabling quick decision-making. As healthcare adopts advanced technologies like AI and machine learning, the demand for data wrangling solutions increases, as these technologies rely on clean, structured data for accurate predictions and insights. The growing focus on personalized medicine and patient-centric care necessitates integrating diverse data sources, further emphasizing the importance of data wrangling for managing complexity and improving decision-making, patient outcomes, and healthcare system efficiency. As healthcare data volume expands, data wrangling’s role in driving innovation and quality care will continue to grow, positively impacting the market’s growth during the forecast period. 

In today’s digital world, businesses are generating and collecting massive amounts of data. This data needs to be processed and transformed into valuable insights to drive business growth. Trends like digital transformation, big data analytics, and e-commerce are leading the charge in data usage. Data integration, structuring, and transformation are key areas of focus for professional services and consulting firms. Data security is paramount, with encryption, access controls, and data protection laws ensuring data privacy. Technology hubs are emerging as centers for innovation in data munging, information mapping, and enterprise mobility. Industries like healthcare, telecommunications, financial services, and insurance are leveraging cloud solutions for data analysis. Data quality, edge computing, and financial services are also seeing significant investment. Anomalies in data require attention, with cloud-based analytics and data lineage tools helping to identify and address them. Metadata management, data cataloging, and data cleaning are essential for data unification and self-service data preparation. Big data, digitalization, finance, IoT devices, smart cities, and life sciences are all driving the need for data analysis tools. Data loss prevention is a critical concern, with firms investing in solutions to mitigate risk. Overall, the data wrangling market is thriving, with innovation and growth expected to continue. 

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Market Challenges

•         Data wrangling refers to the process of extracting valuable insights from raw data using advanced technologies like machine learning and big data analytics. Small and medium-sized enterprises (SMEs) primarily use conventional Extract, Transform, Load (ETL) tools due to their user-friendly interface and affordability. However, these tools lack the necessary functionality for SMEs to fully adopt data wrangling technology, limiting its growth potential. Moreover, in developing countries such as China and India, where there is a high concentration of businesses, the lack of awareness about data wrangling techniques among SMEs will hinder market expansion during the forecast period.

•         In today’s business world, managing data effectively is crucial for success. However, data wrangling presents several challenges for organizations. These include information mapping to connect data from various sources, enterprise mobility to access data on-the-go, ensuring data quality, and implementing edge computing for real-time analysis. Industries like financial services, insurance, and life sciences face unique data challenges. Cloud solutions offer scalability and flexibility, but data loss and security are major concerns. Data analytics tools help make sense of big data, but data lineage, metadata management, and data cataloging are essential for maintaining data accuracy. Self-service data preparation is important for enabling business users, while AI and machine learning require data cleaning and unification. Data management, data preparation, and real-time analysis are key for IT and telecom, while data governance is crucial for large enterprises and SMEs alike. IoT devices and smart cities generate vast amounts of data, requiring multi-cloud strategies and hybrid cloud solutions. Data analytics is the end goal, but data loss, data security, and data privacy are ongoing challenges that must be addressed.

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Segment Overview 

This data wrangling market report extensively covers market segmentation by

Sector 1.1 BFSI1.2 Government and public sector1.3 Healthcare1.4 OthersGeography 2.1 North America2.2 Europe2.3 APAC2.4 Middle East and Africa2.5 South America

1.1 BFSI-  The BFSI sector’s reliance on data wrangling has grown significantly due to the digitization of services and the resulting generation of large volumes of data. Data wranglers optimize operational processes and provide insights to agents for effective online customer interaction. They reduce data preparation time by more than 15 times, enabling a 360-degree client view. With massive data generation, proper management is crucial to prevent unwanted events like data breaches. The Royal Bank of Scotland, serving over 30 million customers globally, uses data wranglers to extract insights from unstructured data, particularly web chats. These factors are driving the demand for data wrangling solutions in the BFSI sector, ensuring secure and efficient data management.

Download complimentary Sample Report to gain insights into AI’s impact on market dynamics, emerging trends, and future opportunities- including forecast (2024-2028) and historic data (2018 – 2022) 

Research Analysis

The Data Wrangling Market is experiencing significant growth due to the increasing volume, variety, and velocity of data being generated across industries. Data loss and theft continue to be major concerns, driving the need for data management and security solutions. Artificial intelligence and machine learning are revolutionizing data analysis by automating data preparation and enabling real-time analysis. Cloud-based solutions and multi-cloud strategies are becoming increasingly popular for data management, offering flexibility and scalability. Data munging, information mapping, and data cleaning are essential data preparation tasks for ensuring data quality. Finance, insurance, and IoT devices are generating massive amounts of data, making data unification and self-service data preparation crucial. Big data and real-time analysis are transforming industries like finance and smart cities, requiring edge computing to process data at the source. Data analytics is at the heart of these trends, enabling businesses to gain valuable insights and make informed decisions.

Market Research Overview

The Data Wrangling Market is experiencing significant growth due to the increasing demand for Artificial Intelligence (AI) and Machine Learning (ML) applications in Data Analytics. Businesses are focusing on Data Management and Preparation to derive valuable insights from their data. Real-time analysis is becoming essential for Large Enterprises and SMEs in IT and Telecom, Finance, Healthcare, Telecommunications, E-commerce, and other sectors. On-premises and Cloud-based solutions are popular for Data Management, with Multi-cloud strategies and Hybrid cloud gaining traction. Data Security and Governance are top priorities, with Digital Transformation driving the adoption of Big Data Analytics, Data Integration, and Data Transformation. Data Structuring, Professional Services, and Consulting are crucial for Data Encryption, Access Controls, and Data Protection Laws. Technology hubs are investing in Data Analytics Tools and Edge Computing to support Digitalization and IoT devices. Data Quality, Anomalies, and Cloud-based Analytics are key areas of focus, along with Data Lineage, Metadata Management, Data Cataloging, Data Cleaning, and Data Unification. Self-service Data Preparation and Big Data are transforming industries such as Life Sciences, Finance, and Insurance. Data Loss prevention is a growing concern, with a need for advanced Data Analytics and AI-driven solutions. The market is expected to continue growing, driven by the increasing importance of Data in the Digital Age.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

SectorBFSIGovernment And Public SectorHealthcareOthersGeographyNorth AmericaEuropeAPACMiddle East And AfricaSouth America

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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Driving Certainty Through Uncertainty: eclicktech’s Engineering Approach to Agentic AI

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XI’AN, China, May 9, 2026 /PRNewswire/ — As generative AI moves from experimentation to enterprise deployment, the industry focus is shifting from model capability to operational reliability. The challenge is no longer simply building smarter AI, but ensuring AI systems can operate safely and consistently inside complex production environments.

eclicktech recently shared its internal engineering practices around Agentic AI, highlighting how the company is applying context engineering, multi-cloud infrastructure, and layered security frameworks to support enterprise-scale AI deployment.

To support global operations across more than 230 countries and regions, eclicktech built its Cycor platform around a multi-cloud architecture integrating AWS, Google Cloud, Alibaba Cloud, Tencent Cloud, Huawei Cloud, and other providers. According to the company, this approach improves infrastructure flexibility, reduces vendor lock-in risk, and enables more efficient orchestration of large-scale Kubernetes clusters and AI workloads.

eclicktech stated that one of the key lessons from early Agent development was that prompt engineering alone was insufficient for enterprise deployment. The company therefore shifted toward context engineering — an approach focused on delivering the right information, at the right time, while optimizing limited token resources.

Its engineering framework includes six layers of context management covering active sessions, short-term memory, long-term semantic storage, knowledge graphs, operational experience, and reusable organizational skills. The system also supports proactive context injection, allowing relevant operational history and risk information to be surfaced automatically before sensitive actions are executed.

To improve inference efficiency, eclicktech introduced layered token governance and progressive tool-loading mechanisms, dynamically loading tools and information only when required. The company said this approach helped improve tool selection accuracy and reduce unnecessary token consumption during complex operational workflows.

Security remains a core requirement throughout the architecture. eclicktech’s governance framework includes namespace isolation, dry-run verification, human approval workflows, rule-based validation, and rollback mechanisms designed to reduce operational risks associated with AI-driven automation.

According to eclicktech, the next stage of enterprise AI competition will depend not only on model capability, but also on engineering reliability, infrastructure orchestration, context management, and organizational knowledge systems.

Note: Certain technical information referenced in this article is derived from eclicktech’s internal engineering practices and is provided for industry reference purposes only.

View original content:https://www.prnewswire.com/apac/news-releases/driving-certainty-through-uncertainty-eclicktechs-engineering-approach-to-agentic-ai-302767441.html

SOURCE eclicktech

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How a Unified Monetization Solution Is Driving eCPM and Revenue Growth for Casual Games Worldwide

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SINGAPORE, May 8, 2026 /PRNewswire/ — Casual, hyper-casual, and hybrid-casual games have become dominant categories in the global mobile market, making in-app advertising (IAA) a key driver of monetization success. However, many developers continue to face major challenges, including unstable fill rates, fluctuating eCPMs, difficulties balancing multiple regional markets, and the ongoing tradeoff between user experience and revenue growth.

To address these issues, zMaticoo has compiled a series of monetization case studies from leading game publishers and studios across China, Vietnam, Europe, and North America. These teams span hyper-casual, puzzle, board, card, and light-casual game categories, with DAUs ranging from millions to tens of millions. By adopting the same monetization framework, they achieved simultaneous growth in fill rate, eCPM, and ad revenue while maintaining stable user experience.

A common challenge among these teams was the shrinking monetization margin across global markets, creating an urgent need for sustainable revenue growth. At the same time, developers were cautious about over-monetization negatively impacting retention and player engagement.

To solve these challenges, zMaticoo introduced an AI-driven monetization system with full-funnel optimization capabilities. The platform connects developers directly to premium global advertiser budgets across both performance and brand advertising. AI models identify high-value traffic in real time based on region, audience, and usage scenarios, prioritizing high-eCPM demand sources. Separate bidding strategies are applied for mature and emerging markets to avoid revenue loss caused by one-size-fits-all pricing models.

The platform also provides refined ad format optimization:

Banner Ads: optimized display share and loading timing to improve SOV and stabilize eCPM;Interstitial Ads: precisely triggered during high-value moments such as level completion or pause screens, with especially strong premiums in emerging markets;Rewarded Video: deeply integrated into gameplay loops, delivering high user acceptance and conversion performance.

On the technical side, zMaticoo optimized SDK infrastructure to improve fill stability under weak network conditions. Ad loading time was reduced from five seconds to under two seconds through a rebuilt loading architecture. Progressive asset loading further minimized timeout-related drop-offs. AI-powered ad templates dynamically generated personalized creatives, improving both CTR and conversion performance.

The zMaticoo team also provides one-stop operational and analytics support. Developers can monitor fill rate, impressions, eCPM, and revenue through a unified dashboard, while dedicated optimization specialists provide 7×12 support for A/B testing, strategy iteration, and scaling guidance. The platform is deeply integrated with major mediation solutions, enabling one-time integration and multi-scenario deployment while reducing development and maintenance costs.

According to zMaticoo platform data:

In mature markets including the United States, Germany, Japan, and South Korea, banner eCPMs increased by 5%–10%, while interstitial premiums improved by over 5%;In emerging markets such as Brazil, Mexico, and Southeast Asia, interstitial eCPMs increased by more than 10%.

The monetization framework has demonstrated effectiveness across hyper-casual, puzzle, board/card, and utility app categories, supporting both rapid scale-up and long-term monetization stability.

Partner feedback includes:

“We are highly satisfied with the revenue uplift after integration. Our core products’ banner performance now ranks among the top tier.””Revenue recovered significantly after A/B testing, and we are expanding testing across more products.””One solution now supports multiple global markets without requiring separate monetization strategies for each region.””Interstitial monetization performance has been especially strong, with SOV reaching 10%–20% for several partners.”

zMaticoo believes successful monetization today is not about stacking more ad platforms, but about leveraging AI, technology, and refined operations to unlock long-term traffic value. Whether for hyper-casual publishers, puzzle game studios, or global mobile app companies, this AI-powered monetization framework is designed to deliver sustainable revenue growth while preserving user experience.

View original content:https://www.prnewswire.com/news-releases/how-a-unified-monetization-solution-is-driving-ecpm-and-revenue-growth-for-casual-games-worldwide-302767432.html

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Fox ESS Celebrates Strong Momentum with Integrated Solar Storage & Charging Solutions at Smart Energy 2026

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SYDNEY, May 9, 2026 /PRNewswire/ — Fox ESS, a global leader in renewable energy solutions, attended Smart Energy 2026 during 6-7 May as a platinum sponsor. At the event, Fox ESS showcased its next-generation approach to solar storage and EV charging solution, delivering a seamless, future-ready energy experience for homeowners and installers across Australia.

Integrated Solutions Tailored for Aussie Homes

At Smart Energy 2026, Fox ESS highlighted its storage-to-charging solution, designed to make everyday energy use more convenient for local residents. With performance-led products and proven market traction, Fox ESS is set to play its part in building a more resilient energy future for Australia.

Battery Systems

Fox ESS continues to build momentum in the battery market. Sunwiz, an Australian solar consultancy, recently reported that Fox ESS ranked No.1 in March for installation capacity. And the company also revealed it has installed more than 25,000 systems in April. During the exhibition, Sunwiz presented Fox ESS with an award, recognising the company as Top Solar Company for Fastest Growing Battery.

CQ7 V6+ High Voltage Battery (42kWh and above)
Building on Fox ESS’ proven strengths, compact design and high capacity, CQ7 V6+ is well suited to medium-sized households and ensure the free use of electricity and maximize the self-consumption.EQ4800 High Voltage Battery (28kWh)
A reliable choice for smaller households, designed for efficient day-to-day energy storage.

Alongside its battery range, Fox ESS showcased all-in-one systems, including Stackable AIO and EVO, designed to simplify installation while maintaining a high standard of design and presentation.

Inverters

Fox ESS offers a range of inverters to suit local requirements, supported by up to 200% PV oversizing and a 10-year product warranty.

Single-phase: H1‑G2 (3–6kW); KH series (7–10.5kW)Three-phase: H3 Smart (5–15kW); H3 Pro (15–29.9kW); H3 Plus (50–125kW)

EV Chargers

With EV adoption accelerating, Fox ESS also offers EV charging solutions with solar linkage, designed to work across its inverter portfolio. The chargers provide robust, smart energy management, including dynamic load balancing to help protect home circuits.

A Series (7.3kW / 11kW / 22kW): IP65 and IK08 protection, OCPP-compliant.L Series (7.3kW / 11kW): straightforward installation with multiple colour options.

Big Battery Still Takes Centre Stage

As the Cheaper Home Battery Program moves into a new phase under an updated rebate policy, interest in larger battery systems continues to grow, particularly as more households consider EV upgrades amid rising fuel costs. More EVs typically mean households need greater energy availability, making higher-capacity storage an increasingly attractive option.

Looking ahead, from 1 July 2026, the Australian Government’s Solar Sharer Offer (SSO) will provide eligible households with three hours of free daily electricity to align with peak solar generation. Households with larger batteries will be well placed to make the most of this opportunity.

Fox ESS is also working with local VPP partners, including Amber Electric and Origin Loop VPP, helping homeowners unlock maximum value while supporting greater grid stability.

Maimai Comes Alive at the Exhibition

Visitors to the Fox ESS stand experienced a full programme of brand activations across the event. Following the online announcement, Sydney served as Maimai’s first physical stop, bringing the community together for face-to-face engagement. Attendees queued to take photos with the brand’s friendly and recognisable mascot.

Long-Term Commitment to Australia

Fox ESS has opened two local offices in Melbourne and Sydney, with more than 30 dedicated specialists supporting local customer needs. The company is also looking to play a wider role in Australia’s energy transition.

Notably, Ian Thorpe made his first in-person appearance at Fox Night, where he presented partners with awards. At the event party, Fox ESS also hosted a battery installation challenge, featuring eight rounds of competition, with the final winners receiving a range of prizes.

“We’re delighted to see such a strong result following the rollout of local policy. With nearly 400,000 Australian households now installing batteries, Fox ESS has played a key role, but this is only the beginning. We’re committed to keeping momentum and helping make a smarter, more reliable energy future a reality for more homes.” said Brooks Richard Geng, APAC & Middle East Managing Director, Fox ESS.

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