A 2018 survey found that the biggest challenge for global supply chain executives was visibility, with 21.8 percent of respondents selecting this response. Fluctuating customer demand was second, with 19.7 percent, while data management was lowest with 1.3 percent. Visibility The nature of the challenges generated by visibility differs depending on whether a company is a producer or a supplier of goods. Producers were most concerned with having oversight on how materials were provisioned to their production facilities, while suppliers were concerned with visibility over the quality and availability of the products they intend to sell. Both producers and suppliers though were concerned with being able to trace the flow of materials and/or goods through their supply chain process. Supply chain management Given the concerns producers and suppliers have over visibility, supply chain management (SCM) software has been a growing industry over the last decade. One sub-segment of this industry expected to see very strong growth is supply chain analytics, whereby the data captured in a SCM system is used in more sophisticated ways (for example, to identifying the main causes and predict the risk of supply chain disruptions). A 2016 survey found that advanced analytics was the technology manufacturing executives expected to impact their supply chain the most, while some analysts expect the size of the supply chain analytic market to almost double between 2018 and 2023.

The Supplier Data Trading market is experiencing robust growth, driven by the increasing demand for high-quality data to enhance supply chain efficiency and decision-making. The market's expansion is fueled by several key factors, including the rising adoption of data analytics and business intelligence tools across various industries, the need for improved transparency and traceability in supply chains, and the growing prevalence of digitalization initiatives within procurement and logistics. A Compound Annual Growth Rate (CAGR) of, let's assume, 15% from 2025 to 2033, indicates significant market potential. This growth is further amplified by the emergence of innovative data trading platforms and technologies that facilitate secure and efficient data exchange between suppliers and buyers. Key players like Qlik and Here OLP are actively shaping the market landscape through their offerings, fostering competition and innovation. While challenges such as data security concerns and regulatory complexities exist, the overall market outlook remains positive. The segmentation of the Supplier Data Trading market likely includes various data types (e.g., product information, sustainability data, logistical data), industry verticals (e.g., manufacturing, retail, healthcare), and deployment models (cloud-based, on-premise). Regional variations in market adoption are expected, with developed economies in North America and Europe likely leading the way, followed by growth in emerging markets as digital infrastructure improves and businesses embrace data-driven strategies. The historical period (2019-2024) likely saw a steady increase in market size, laying the foundation for the projected exponential growth in the forecast period (2025-2033). The base year of 2025 serves as a critical benchmark for future projections, with the estimated market size providing a starting point for analyzing the market's trajectory.

Data Quality Solution Market Outlook

The global data quality solution market size is projected to grow significantly from USD 1.5 billion in 2023 to approximately USD 4.8 billion by 2032, reflecting a robust CAGR of 13.5%. This growth is driven primarily by the increasing adoption of data-driven decision-making processes across various industries. The surge in Big Data, coupled with the proliferation of IoT devices, has necessitated robust data quality solutions to ensure the accuracy, consistency, and reliability of data that organizations rely on for strategic insights.

One of the notable growth factors in this market is the exponential increase in data volumes, which calls for effective data management strategies. Businesses today are inundated with data from diverse sources such as social media, sensor data, transactional data, and more. Ensuring the quality of this data is paramount for gaining actionable insights and maintaining competitive advantage. Consequently, the demand for sophisticated data quality solutions has surged, propelling market growth. Additionally, stringent regulatory requirements across various sectors, including finance and healthcare, have further emphasized the need for data quality solutions to ensure compliance with data governance standards.

Another significant driver for the data quality solution market is the growing emphasis on digital transformation initiatives. Organizations across the globe are leveraging digital technologies to enhance operational efficiencies and customer experiences. However, the success of these initiatives largely depends on the quality of data being utilized. As a result, there is a burgeoning demand for data quality tools that can automate data cleansing, profiling, and enrichment processes, ensuring that the data is fit for purpose. This trend is particularly evident in sectors such as BFSI and retail, where accurate data is crucial for risk management, customer personalization, and strategic decision-making.

The rise of artificial intelligence and machine learning technologies also contributes significantly to the market's growth. These technologies rely heavily on high-quality data to train models and generate accurate predictions. Poor data quality can lead to erroneous insights and suboptimal decisions, thus undermining the potential benefits of AI and ML initiatives. Therefore, organizations are increasingly investing in advanced data quality solutions to enhance their AI capabilities and drive innovation. This trend is expected to further accelerate market growth over the forecast period.

Component Analysis

The data quality solution market can be segmented based on components, primarily into software and services. The software segment encompasses various tools and platforms designed to enhance data quality through cleansing, profiling, enrichment, and monitoring. These software solutions are equipped with advanced features like data matching, de-duplication, and standardization, which are crucial for maintaining high data quality standards. The increasing complexity of data environments and the need for real-time data quality management are driving the adoption of these sophisticated software solutions, making this segment a significant contributor to the market's growth.

In addition to the software, the services segment plays a crucial role in the data quality solution market. This segment includes professional services such as consulting, implementation, training, and support. Organizations often require expert guidance to deploy data quality solutions effectively and ensure they are tailored to specific business needs. Consulting services help in assessing current data quality issues, defining data governance frameworks, and developing customized solutions. Implementation services ensure seamless integration of data quality tools with existing systems, while training and support services empower users with the necessary skills to manage and maintain data quality effectively. The growth of the services segment is bolstered by the increasing complexity of data ecosystems and the need for specialized expertise.

Report Scope

According to Cognitive Market Research, the global Data Quality Tools market size will be USD XX million in 2025. It will expand at a compound annual growth rate (CAGR) of XX% from 2025 to 2031.

North America held the major market share for more than XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Europe accounted for a market share of over XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Asia Pacific held a market share of around XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Latin America had a market share of more than XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Middle East and Africa had a market share of around XX% of the global revenue and was estimated at a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. KEY DRIVERS The Emergence of Big Data & IoT and Increasing Data Proliferation are driving the market growth One of the most significant drivers of the data quality tools market is the emergence of Big Data and the Internet of Things (IoT). As organizations expand their digital operations, they are increasingly reliant on real-time data collected from a vast network of connected devices, including industrial machines, smart home appliances, wearable tech, and autonomous vehicles. This rapid increase in data sources results in immense volumes of complex, high-velocity data that must be processed and analyzed efficiently. However, the quality of this data often varies due to inconsistent formats, transmission errors, or incomplete inputs. Data quality tools are vital in this context, enabling real-time profiling, validation, and cleansing to ensure reliable insights. For Instance, General Electric (GE), uses data quality solutions across its Predix IoT platform to ensure the integrity of sensor data for predictive maintenance and performance optimization. (Source: https://www.ge.com/news/press-releases/ge-predix-software-platform-offers-20-potential-increase-performance-across-customer#:~:text=APM%20Powered%20by%20Predix%20-%20GE%20is%20expanding,total%20cost%20of%20ownership%2C%20and%20reduce%20operational%20risks.) According to a recent Gartner report, over 60% of companies identified poor data quality as the leading challenge in adopting big data technologies. Therefore, the growing dependence on big data and IoT ecosystems is directly driving the need for robust, scalable, and intelligent data quality tools to ensure accurate and actionable analytics. Another major factor fueling the growth of the data quality tools market is the increasing proliferation of enterprise data across sectors. As organizations accelerate their digital transformation journeys, they generate and collect enormous volumes of structured and unstructured data daily—from internal systems like ERPs and CRMs to external sources like social media, IoT devices, and third-party APIs. If not managed properly, this data can become fragmented, outdated, and error-prone, leading to poor analytics and misguided business decisions. Data quality tools are essential for profiling, cleansing, deduplicating, and enriching data to ensure it remains trustworthy and usable. For Instance, Walmart implemented enterprise-wide data quality solutions to clean and harmonize inventory and customer data across global operations. This initiative improved demand forecasting and streamlined its massive supply chain. (Source: https://tech.walmart.com/content/walmart-global-tech/en_us/blog/post/walmarts-ai-powered-inventory-system-brightens-the-holidays.html). According to a Dresner Advisory Services report, data quality ranks among the top priorities for companies focusing on data governance.(Source: https://www.informatica.com/blogs/2024-dresner-advisory-services-data-analytics-and-governance-and-catalog-market-studies.html) In conclusion, as data volumes continue to skyrocket and data environments grow more complex, the demand for data quality tools becomes critical for enabling informed decision-making, enhancing operational efficiency, and ensuring compliance.  Restraints One of the primary challenges restraining the growth of the data quality tools market is the lack of skilled personnel wit...

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Data quality tools market in APAC overview

The need to improve customer engagement is the primary factor driving the growth of data quality tools market in APAC. The reputation of a company gets hampered if there is a delay in product delivery or response to payment-related queries. To avoid such issues organizations are integrating their data with software such as CRM for effective communication with customers. To capitalize on market opportunities, organizations are adopting data quality strategies to perform accurate customer profiling and improve customer satisfaction.

Also, by using data quality tools, companies can ensure that targeted communications reach the right customers which will enable companies to take real-time action as per the requirements of the customer. Organizations use data quality tool to validate e-mails at the point of capture and clean their database of junk e-mail addresses. Thus, the need to improve customer engagement is driving the data quality tools market growth in APAC at a CAGR of close to 23% during the forecast period.

Top data quality tools companies in APAC covered in this report

The data quality tools market in APAC is highly concentrated. To help clients improve their revenue shares in the market, this research report provides an analysis of the market’s competitive landscape and offers information on the products offered by various leading companies. Additionally, this data quality tools market in APAC analysis report suggests strategies companies can follow and recommends key areas they should focus on, to make the most of upcoming growth opportunities.

The report offers a detailed analysis of several leading companies, including:

IBM
Informatica
Oracle
SAS Institute
Talend

Data quality tools market in APAC segmentation based on end-user

Banking, financial services, and insurance (BFSI)
Telecommunication
Retail
Healthcare
Others

BFSI was the largest end-user segment of the data quality tools market in APAC in 2018. The market share of this segment will continue to dominate the market throughout the next five years.

Data quality tools market in APAC segmentation based on region

China
Japan
Australia
Rest of Asia

China accounted for the largest data quality tools market share in APAC in 2018. This region will witness an increase in its market share and remain the market leader for the next five years.

Key highlights of the data quality tools market in APAC for the forecast years 2019-2023:

CAGR of the market during the forecast period 2019-2023
Detailed information on factors that will accelerate the growth of the data quality tools market in APAC during the next five years
Precise estimation of the data quality tools market size in APAC and its contribution to the parent market
Accurate predictions on upcoming trends and changes in consumer behavior
The growth of the data quality tools market in APAC across China, Japan, Australia, and Rest of Asia
A thorough analysis of the market’s competitive landscape and detailed information on several vendors
Comprehensive details on factors that will challenge the growth of data quality tools companies in APAC

We can help! Our analysts can customize this market research report to meet your requirements. Get in touch

The Supplier Quality Management (SQM) Applications market is experiencing robust growth, driven by increasing regulatory pressures, the need for enhanced supply chain visibility, and a rising focus on product quality and safety across diverse sectors. The market, estimated at $2 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $6 billion by 2033. This expansion is fueled by several key factors. The adoption of cloud-based SQM solutions is accelerating, offering scalability, accessibility, and cost-effectiveness compared to on-premise deployments. Furthermore, industries such as medical devices, pharmaceuticals, and automotive are spearheading this growth, due to stringent quality standards and the critical nature of their products. The increasing complexity of global supply chains also contributes to the demand for sophisticated SQM applications, enabling businesses to monitor and manage supplier performance effectively. While challenges like the initial investment cost for implementing these systems and the need for skilled personnel to manage them exist, these are being offset by the long-term benefits of improved product quality, reduced risks, and enhanced operational efficiency. The market segmentation highlights the significant role of both application and deployment type. Medical devices and pharmaceuticals represent the largest application segments due to their stringent regulatory landscapes. Cloud deployment is gaining traction, surpassing local deployment in market share, reflecting the broader trend toward cloud adoption across industries. Geographically, North America currently holds a significant market share due to early adoption and the presence of key market players. However, regions like Asia-Pacific are expected to exhibit faster growth in the coming years, driven by rising manufacturing activities and increasing awareness of SQM best practices. Companies like MetricStream, EtQ, iBASEt, Sparta Systems, and MasterControl are shaping the competitive landscape, with ongoing innovation in features such as AI-powered analytics and predictive capabilities further accelerating market growth. The historical period (2019-2024) provides a baseline for understanding the growth trajectory and identifying factors that have contributed to the current market size.

As manufacturing companies are focusing more on their key competencies and the importance of supplier networks is growing, the need for supplier data analysis has been acknowledged. The purpose of this thesis is to examine how a Finnish heavy equipment manufacturing company can design and implement a tool for analyzing supplier network’s quality assurance. First, this study discusses different methods and objectives for monitoring and evaluating the supplier network. Furthermore, the benefits and challenges of supplier analysis are observed from the literature. The concept of data analysis is studied to discover methods for analyzing and visualizing supplier data. In the practical part of this study, a tool for analyzing supplier quality assurance is designed for the case company using the discovered methods. The output of this thesis is a set of suggestions on how the case company could improve its ability to utilize supplier data. This study is conducted as action research and the theoretical information for this thesis is collected by a literature review. The literature review revealed that there are no pre-defined principles or a universal solution for supplier data monitoring and evaluation. However, the literature does offer a variety of different methods and metrics for supplier analysis. This study discovered that supplier analytics has several benefits, such as financial advantages and enhanced quality. On the other hand, utilizing supplier analytics has its challenges, for example, choosing appropriate measures for the organization and developing towards a common goal in cooperation with the suppliers. This study discovered that designing and implementing a continuous process is necessary for succeeding in utilizing supplier analytics. The most significant finding of this thesis was four requirements for building an efficient supplier analysis tool: data quality, analysis tool usability, analysis tool adaptability, and understanding the processes behind the data. Toimittajadatan analysoinnin tarve on kasvanut valmistavan teollisuuden keskittyessä yhä enemmän ydinsosaamiseensa ja sen myötä toimittajien merkityksen kasvaessa. Tämän työn tarkoituksena on tutkia, kuinka raskaan teollisuuden valmistava yritys voi suunnitella ja toteuttaa analyysityökalun toimittajien laaduntuottokyvyn varmistamiseksi. Työn alussa esitellään erilaisia menetelmiä ja tavoitteita toimittajaverkoston seurantaan ja arviointiin. Työssä tuodaan esiin kirjallisuudesta havaittuja toimittajien analysoinnin hyötyjä sekä haasteita. Empiriaosuudessa kohdeyritykselle suunnitellaan toimittajien laaduntuottokyvyn analysointiin sopiva työkalu, jossa hyödynnetään kirjallisuudesta löydettyjä mittareita ja menetelmiä. Työn lopputuloksena on esimerkkianalyysityökalun lisäksi ehdotuksia kohdeyrityksen toimittajien analysoinnin edellytyksien parantamiseksi. Tämän tutkimuksen teoriaosuus on koostettu systemaattisen kirjallisuuskatsauksen perusteella. Kirjallisuuden perusteella paljastui, ettei valmiita periaatteita tai kaikille sopivaa ratkaisua toimittajien analysointiin ole ennalta määritetty. Sen sijaan kirjallisuudesta löytyi erilaisia menetelmiä sekä mittareita oman arviointityökalun koostamiseen. Toimittajien analysoinnilla havaittiin olevan erilaisia hyötyjä, kuten kustannushyödyt ja laadun paraneminen, mutta samalla vastaan voi tulla haasteita, kuten hyödyllisten mittareiden valitseminen sekä yhteystyön tekeminen toimittajien kanssa. Tutkimuksessa havaittiin, että jatkuvan prosessin luominen analytiikan hyödyntämiseksi toimittajaverkoston kehittämisessä on tärkeää. Tutkimuksen tärkein löytö on neljä osa-aluetta, jotka ovat ennakkoehtoja toimittaja-analytiikan onnistumiselle: datan laatu, analyysityökalun käytettävyys, analyysityökalun muokkautuvuus sekä datan taustalla olevien prosessien ymmärrys.

The Supplier Quality Management Applications market is an essential component of supply chain management, focusing on ensuring that the products and services provided by suppliers meet predefined quality standards. These applications play a vital role in various industries, including manufacturing, pharmaceuticals,

The global Supplier Quality Audits and Certifications market is experiencing robust growth, driven by increasing regulatory scrutiny, a rising emphasis on supply chain resilience, and the growing adoption of quality management systems across diverse industries. The market size in 2025 is estimated at $15 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors: the escalating demand for high-quality products and services across sectors like food, pharmaceuticals, and medical devices; the increasing need for risk mitigation and regulatory compliance; and the expanding adoption of advanced auditing techniques and technologies. The rising complexity of global supply chains further necessitates robust quality assurance practices, bolstering the demand for professional audit and certification services. Key segments driving growth include document review and on-site audits, with the latter demonstrating faster growth due to the inherent need for physical verification in many industries. Geographically, North America and Europe currently hold significant market share, but the Asia-Pacific region is projected to witness substantial growth in the coming years due to rapid industrialization and rising consumer expectations. While the market presents significant opportunities, challenges remain. These include the high cost of audits and certifications, especially for small and medium-sized enterprises (SMEs), and the need for standardization and harmonization of auditing practices across different regions and industries. Furthermore, the increasing prevalence of cyber threats necessitates robust security measures for data management and audit processes. However, the overall outlook for the Supplier Quality Audits and Certifications market remains positive, with continued growth expected throughout the forecast period. The market's expansion will be influenced by ongoing technological advancements, such as the increasing integration of data analytics and AI into auditing processes, enabling more efficient and accurate assessments. The evolution of these practices will further enhance transparency and trust across global supply chains.

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Tail Spend Management Solutions Market Size 2025-2029

The tail spend management solutions market size is forecast to increase by USD 482.5 million, at a CAGR of 4.7% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the increasing emphasis on cost reduction strategies. Companies are recognizing the potential savings that can be achieved by optimizing their spend on low-value, infrequent purchases, also known as tail spend. This trend is further fueled by the increasing adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies, which enable automated identification and management of tail spend. However, the market is not without its challenges. Data quality issues pose a significant obstacle to effective tail spend management. With a large number of suppliers and transactions involved, maintaining accurate and up-to-date data is essential for identifying opportunities for cost savings and managing risk.
Ensuring data accuracy and completeness requires robust data management processes and technologies, presenting an opportunity for solution providers to differentiate themselves in the market. Companies seeking to capitalize on the opportunities presented by the market must address these challenges head-on, investing in advanced data management capabilities and leveraging AI and ML technologies to gain visibility and control over their tail spend.

What will be the Size of the Tail Spend Management Solutions 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.
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The market continues to evolve, with cloud-based supplier performance management systems gaining traction. These solutions enable businesses to automate payment processes, integrating business intelligence and data visualization for value creation. Supplier relationships are strengthened through effective communication and performance monitoring, leading to cost reduction and process improvement. Risk management is a critical component, with demand forecasting and supply chain optimization ensuring business continuity. Contract management solutions facilitate efficient negotiation and compliance, while tail spend optimization uncovers hidden savings opportunities. Ethical sourcing and supplier diversity initiatives are integrated, enhancing corporate social responsibility. Artificial intelligence and machine learning are transforming the landscape, providing predictive analytics for inventory management and spend data analysis.

Procurement automation streamlines workflows, reducing manual tasks and increasing efficiency gains. Purchase order management and reporting and analytics provide real-time spend visibility, enabling informed decision-making. The ongoing unfolding of market activities reveals a dynamic and interconnected ecosystem, where e-procurement platforms, spend analytics, and category management are seamlessly integrated. Strategic sourcing initiatives leverage spend data to optimize contracts and negotiate favorable terms. Invoice processing is automated, ensuring accurate and timely payments to suppliers. The continuous evolution of tail spend management solutions is shaping the future of procurement, with a focus on data integration and supplier relationship management.

The market's ongoing growth and innovation are driving significant value for businesses across various sectors.

How is this Tail Spend Management Solutions Industry segmented?

The tail spend management solutions 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.

Solution

  Spend analytics
  Order management
  Contract management


End-user

  BFSI
  Transportation and logistics
  Healthcare
  Retail
  Others


Deployment Type

  Cloud
  On-Premises


Enterprise Size

  SMEs
  Large Enterprises


Geography

  North America

    US
    Mexico


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    UAE


  APAC

    Australia
    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

.

By Solution Insights

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

The market is witnessing notable development, fueled by the growing demand for enhanced supplier performance management, payment automation, and business intelligence. Cloud-based solutions are increasingly adopted due to their scalability, flexibility, and cost-effectiveness, enabling companies to optimize tail spend and improve efficiency gains. Supplier relationship management is another crucial area of focus, with

This data package aims to pilot an approach for providing usable data for analyses related to drought planning and management for urban water suppliers--ultimately contributing to improvements in communication around drought. This project was convened by the California Water Data Consortium in partnership with the Department of Water Resources (DWR) and the State Water Resources and Control Board (SWB) and is one of two use cases of this working group that aim to improve data submitted by urban water suppliers in terms of accessibility and useability. The datasets from DWR and the SWB are compiled in a standard format to allow interested parties to synthesize and analyze these data into a cohesive message. This package includes a data management plan describing its development and maintenance. All code related to preparing this data package can be found on GitHub. Please note that the "org_id" (DWR's Organization ID) and the "pwsid" (SWB's Public Water System ID) can be used to connect to the various data tables in this package. We acknowledge that data quality issues may exist. Making these data available in a usable format will help identify and address data quality issues. If you identify any data quality issues, please contact the data steward (see contact information). We plan to iteratively update this data package to incorporate new data and to update existing data with quality fixes. The purpose of this project is to demonstrate how data from two agencies, when made publicly available, can be used in relevant analyses; if you found this data package useful, please contact the data steward (see contact information) to share your experience.

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

The global supplier assessment market is experiencing robust growth, driven by increasing regulatory compliance needs, a heightened focus on supply chain risk management, and the growing adoption of digital technologies across diverse industries. The market's expansion is fueled by the rising demand for efficient and reliable supplier evaluation processes, particularly among large enterprises and SMEs seeking to mitigate risks associated with sourcing. The shift towards sustainable and ethical sourcing practices further enhances the demand for comprehensive supplier assessment solutions. Competency assessment, a key segment, benefits from the need to identify and select suppliers capable of consistently meeting quality and performance expectations. Risk assessment, another significant segment, is propelled by rising concerns about geopolitical instability, natural disasters, and cybersecurity threats that disrupt supply chains. The market is witnessing a surge in the adoption of cloud-based solutions, offering scalability and ease of integration with existing enterprise resource planning (ERP) systems. This trend reduces operational complexities and facilitates data-driven decision-making. Leading players in the market are continually investing in advanced technologies like artificial intelligence and machine learning to enhance their assessment capabilities, providing more accurate and insightful evaluations. Geographic expansion, particularly in rapidly developing economies in Asia Pacific and Middle East & Africa, is driving significant market growth, as businesses in these regions embrace standardized supplier assessment practices. Despite some constraints, such as the initial investment costs associated with implementing new assessment systems and the complexity of integrating various data sources, the long-term growth outlook remains positive. The competitive landscape is characterized by a mix of established players and emerging technology providers. Established companies such as EcoVadis, Siemens, and GEP are leveraging their expertise and extensive networks to maintain a strong market presence. Simultaneously, newer companies are entering the market with innovative solutions, utilizing advanced analytics and automation capabilities. The market is witnessing strategic partnerships and acquisitions as organizations strive to expand their capabilities and market reach. The future will likely see increasing consolidation in the market, with leading players acquiring smaller niche players to consolidate their position. Further growth will be driven by increasing adoption of sophisticated solutions that address the evolving needs of businesses in terms of supply chain visibility, sustainability reporting, and regulatory compliance. The increasing complexity of global supply chains necessitates continuous refinement of supplier assessment methodologies, ensuring resilience and operational efficiency. Therefore, the market is poised for sustained and significant growth in the coming years.

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

The size of the Data Management Platform Market was valued at USD 3.4 billion in 2023 and is projected to reach USD 8.25 billion by 2032, with an expected CAGR of 13.50% during the forecast period. The Data Management Platform (DMP) market is experiencing robust growth, driven by the increasing demand for personalized marketing and data-driven decision-making. Organizations across various industries are leveraging DMPs to collect, analyze, and manage vast amounts of first-party, second-party, and third-party data. These platforms enable businesses to gain actionable insights into customer behavior, preferences, and trends, facilitating targeted advertising and improved customer engagement. The proliferation of digital channels, such as mobile applications, social media, and e-commerce platforms, further fuels the adoption of DMPs, as businesses seek to unify fragmented data sources. Additionally, advancements in artificial intelligence and machine learning are enhancing the analytical capabilities of DMPs, enabling real-time audience segmentation and predictive analytics. However, data privacy regulations and concerns around user consent pose challenges to the market's growth. To address these, vendors are focusing on compliance, transparency, and robust data security measures. As businesses increasingly prioritize data-driven strategies, the DMP market is poised for significant expansion, with opportunities for innovation in integration, scalability, and interoperability to meet evolving organizational needs. Recent developments include: March 2022 Oracle Corporation announced that Oracle Unity Customer Data Platform- which is an enterprise grade data platform that powers next generation adtech strategies and enables marketers to unify customer data for segmentation. It is also used for providing hyper personalized experience. Thus oracle has unified AdTech and martech into one unit. The company has done so by using design principles of marketing and advertising products around first party data. Thus improved data management capabilities are used to compliment systems of customer record and help marketers gain cost efficiencies., September 2019 Oracle Corporation has announced that they have integrated Bluekai and ID graph with CX unity. The company has integrated Bluekai data management platform DMP and ID graph with its customer data platform. This step is aimed to help marketers tie device level data about unknown prospects to their customers data and receive insights about marketing techniques and ad techniques. this step is going to allow customers to deliver personalization at a whole new level., March 2023 Adobe Corporation at Adobe Summit in New Delhi announced that they have launched Adobe product analytics in adobe experience cloud. The tool unifies customer journey insights across marketing and products. Using the tool, customer experience teams can now look deeply across marketing and products insights for a single customer view., March 2023 Adobe Corporation announced at Adobe Summit in New Delhi announced that they have launched new innovations in Adobe Experience manager which is a leading Data Management Platform DMP. The new release will deliver next generation features that bring speed and makes it easy for content developments and publishing higher quality web experiences and AI powered data insights that help organizations to optimize new content for the targeted audiences.. Key drivers for this market are: Increasing data volumes and complexity Growing importance of customer data and personalization Adoption of digital marketing channels Need for data-driven decision-making Government regulations. Potential restraints include: Data privacy concerns Cost and complexity of implementation Lack of skilled data professionals Data quality issues Integration challenges with other systems. Notable trends are: Rise of the Identity Graph Adoption of Cloud-Native Platforms Real-Time Data Management Multi-Vendor Integration Ethical and Sustainable Data Use.

The Alternative Data Vendor market is experiencing robust growth, driven by the increasing demand for non-traditional data sources to enhance investment strategies and business decision-making. The market's expansion is fueled by the proliferation of digital data, advancements in data analytics, and a growing need for more comprehensive and nuanced insights across various sectors. The BFSI (Banking, Financial Services, and Insurance) sector remains a significant driver, leveraging alternative data for credit scoring, fraud detection, and risk management. However, growth is also witnessed in industrial, IT and telecommunications, and retail and logistics sectors as businesses seek competitive advantages through data-driven decision-making. The diverse types of alternative data, including credit card transactions, web data, sentiment analysis, and public data, cater to a wide range of applications. While data privacy and regulatory concerns pose challenges, the market is overcoming these hurdles through robust data anonymization and compliance strategies. The competitive landscape features both established players like S&P Global and Bloomberg, along with emerging technology-driven companies, fostering innovation and market expansion. We project a steady compound annual growth rate (CAGR) resulting in a substantial market expansion over the next decade. This growth is expected to be distributed across regions, with North America and Europe maintaining leading positions due to early adoption and developed data infrastructure. The forecast period from 2025 to 2033 anticipates continued market expansion, propelled by factors such as increasing data availability from IoT devices, refined analytical techniques, and expanding applications across new sectors. The market's segmentation by application and data type is expected to further evolve, with niche players focusing on specific data sets and industries. This specialized approach allows for deeper insights and catering to specific client needs. Geographic expansion will continue, with growth in Asia-Pacific particularly driven by the increasing adoption of digital technologies and expanding economic activity. Strategic partnerships and mergers and acquisitions will likely shape the competitive landscape, fostering consolidation and further innovation in alternative data solutions. Despite challenges related to data quality, security, and ethical considerations, the overall outlook for the Alternative Data Vendor market remains highly positive, with substantial growth opportunities over the long term.

Spend Analysis: Offers visibility into spend data, enabling businesses to identify cost-saving opportunities and optimize procurement strategies. E-Sourcing: Automates the supplier selection process, facilitating transparent bidding and negotiations. E-Procurement: Streamlines the ordering and purchasing process, reducing manual work and improving accuracy. Contract Management: Manages contracts throughout their lifecycle, ensuring compliance and reducing risk. Supplier Management: Provides tools to assess and manage supplier performance, foster collaboration, and mitigate supply chain disruptions.

Driving Forces: What's Propelling the Procurement Software Market

Cost Optimization: Procurement Software helps businesses reduce procurement costs through automated processes, improved supplier management, and data-driven decision-making. Efficiency and Productivity Gains: Automation and streamlined processes enable businesses to save time, reduce errors, and increase productivity. Compliance and Risk Management: Procurement Software ensures compliance with regulations, improves transparency, and reduces risk by managing supplier performance and contracts. Visibility and Control: Provides real-time visibility into procurement data, enabling businesses to monitor spending, track performance, and make informed decisions. Improved Supplier Relationships: Facilitates collaboration with suppliers, allowing businesses to strengthen partnerships and improve supply chain resilience.

Challenges and Restraints in Procurement Software Market

Vendor Lock-In: Businesses can face challenges transitioning between different Procurement Software providers due to proprietary systems and data integration. Data Quality and Integration: Integration with other business systems and maintaining data quality can be complex and time-consuming. Lack of Skilled Resources: Implementing and managing Procurement Software requires skilled professionals, which can be a challenge for some organizations. Resistance to Change: Changing established procurement processes can encounter resistance from employees, requiring effective change management strategies.

Emerging Trends in Procurement Software Market

Integration with Digital Procurement Networks: Partnerships with digital procurement networks expand supplier reach and enable businesses to access new products and services. Blockchain for Transparency and Trust: Blockchain technology is gaining traction for secure and transparent supply chain management. AI-Powered Predictive Analytics: AI helps predict market trends, identify supply chain risks, and optimize procurement decisions. Sustainability-Focused Procurement: Procurement Software is integrating features to track and improve environmental and social impact. Subscription-Based Pricing Models: Software vendors are increasingly offering subscription-based pricing models, providing flexibility and scalability for businesses.

Growth Catalysts in Procurement Software Industry

Growing Complexity of Supply Chains: Globalized and complex supply chains make Procurement Software a necessity for managing risk and optimizing processes. Increasing Regulatory Scrutiny: Stringent regulations on procurement practices and supply chain transparency drive demand for compliance-enhancing solutions. Digitalization of Business Processes: The digital transformation of businesses accelerates the adoption of Procurement Software. Expansion into Emerging Markets: Growing economies in emerging markets create new opportunities for Procurement Software vendors.

Key Companies in the Procurement Software Market Include

Coupa Software SAP Ariba Oracle Procurement Cloud Jaggaer Ivalua GEP SMART Zycus Basware SynerTrade Proactis Determine Tradeshift

Recent Developments in Procurement Software

**Coupa acquires Approved]() **SAP expands its Business Network]() **Ariba introduces new sustainability features]() **Oracle integrates AI into its Procurement Cloud]() **Jaggaer launches new Supplier Relationship Management solution]()

Comprehensive Coverage Procurement Software Market Report This report provides comprehensive coverage of the Procurement Software market, including:

Market Sizing and Forecast Segmentation by Deployment, Software Type, Organization Size, and Vertical Competitive Landscape and Vendor Analysis Market Dynamics, Trends, and Challenges Growth Catalysts and Future Outlook Key Company Profiles and Case Studies Key drivers for this market are: Growing need for cost optimization

Digital transformation initiatives

Increasing adoption of AI and ML

Focus on improving supplier relationships

Government regulations promoting transparency and accountability. Potential restraints include: Data privacy and security concerns

Complexity of implementation

Integration with legacy systems

Skilled labor shortage. Notable trends are: Predictive analytics and forecasting

Blockchain technology for secure and transparent transactions

Supply chain visibility to mitigate risk

Cognitive procurement assistants to automate decision-making

Subscription-based pricing models.

The global Supplier Quality Audits and Certifications market is experiencing robust growth, driven by increasing regulatory scrutiny across diverse industries and a rising emphasis on supply chain resilience. The market size in 2025 is estimated at $15 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the stringent regulatory landscapes in sectors like food, pharmaceuticals, and medical devices necessitate rigorous quality audits and certifications to ensure product safety and compliance. Secondly, the globalized supply chain necessitates greater visibility and control over supplier quality, prompting companies to invest heavily in robust audit and certification programs. Thirdly, the growing consumer awareness of product quality and safety is driving demand for certified suppliers, thus influencing buyer preferences and market dynamics. Finally, technological advancements in audit methodologies, such as digitalization and data analytics, are streamlining processes and enhancing the efficiency of quality assurance programs. The market segmentation reveals significant opportunities across various application areas. The Food and Drug sectors are currently the largest segments, reflecting the crucial role of quality assurance in these industries. However, the Medical Instruments segment is projected to witness the fastest growth, driven by increasing demand for high-quality medical devices and the associated regulatory requirements. Furthermore, geographic expansion is a key trend, with North America and Europe holding significant market shares. However, rapidly developing economies in Asia-Pacific, particularly China and India, are emerging as significant growth drivers, presenting substantial opportunities for market players. While the market faces challenges such as the high cost of certifications and potential resistance to audits from smaller suppliers, the long-term outlook remains positive, fueled by the aforementioned drivers and the increasing importance of quality management across global supply chains.

WiserBrand's Comprehensive Customer Call Transcription Dataset: Tailored Insights

WiserBrand offers a customizable dataset comprising transcribed customer call records, meticulously tailored to your specific requirements. This extensive dataset includes:

User ID and Firm Name: Identify and categorize calls by unique user IDs and company names. Call Duration: Analyze engagement levels through call lengths. Geographical Information: Detailed data on city, state, and country for regional analysis. Call Timing: Track peak interaction times with precise timestamps. Call Reason and Group: Categorised reasons for calls, helping to identify common customer issues. Device and OS Types: Information on the devices and operating systems used for technical support analysis. Transcriptions: Full-text transcriptions of each call, enabling sentiment analysis, keyword extraction, and detailed interaction reviews.

Our dataset is designed for businesses aiming to enhance customer service strategies, develop targeted marketing campaigns, and improve product support systems. Gain actionable insights into customer needs and behavior patterns with this comprehensive collection, particularly useful for Consumer Data, Consumer Behavior Data, Consumer Sentiment Data, Consumer Review Data, AI Training Data, Textual Data, and Transcription Data applications.

WiserBrand's dataset is essential for companies looking to leverage Consumer Data and B2B Marketing Data to drive their strategic initiatives in the English-speaking markets of the USA, UK, and Australia. By accessing this rich dataset, businesses can uncover trends and insights critical for improving customer engagement and satisfaction.

Cases:

1. Training Speech Recognition (Speech-to-Text) and Speech Synthesis (Text-to-Speech) Models WiserBrand's Comprehensive Customer Call Transcription Dataset is an excellent resource for training and improving speech recognition models (Speech-to-Text, STT) and speech synthesis systems (Text-to-Speech, TTS). Here’s how this dataset can contribute to these tasks:

Enriching STT Models: The dataset includes a wide variety of real-world customer service calls with diverse accents, tones, and terminologies. This makes it highly valuable for training speech-to-text models to better recognize different dialects, regional speech patterns, and industry-specific jargon. It could help improve accuracy in transcribing conversations in customer service, sales, or technical support.

Contextualized Speech Recognition: Given the contextual information (e.g., reasons for calls, call categories, etc.), it can help models differentiate between various types of conversations (technical support vs. sales queries), which would improve the model’s ability to transcribe in a more contextually relevant manner.

Improving TTS Systems: The transcriptions, along with their associated metadata (such as call duration, timing, and call reason), can aid in training Text-to-Speech models that mimic natural conversation patterns, including pauses, tone variation, and proper intonation. This is especially beneficial for developing conversational agents that sound more natural and human-like in their responses.

Noise and Speech Quality Handling: Real-world customer service calls often contain background noise, overlapping speech, and interruptions, which are crucial elements for training speech models to handle real-life scenarios more effectively.

1. Training AI Agents for Replacing Customer Service Representatives WiserBrand’s dataset can be incredibly valuable for businesses looking to develop AI-powered customer support agents that can replace or augment human customer service representatives. Here’s how this dataset supports AI agent training:

Customer Interaction Simulation: The transcriptions provide a comprehensive view of real customer interactions, including common queries, complaints, and support requests. By training AI models on this data, businesses can equip their virtual agents with the ability to understand customer concerns, follow up on issues, and provide meaningful solutions, all while mimicking human-like conversational flow.

Sentiment Analysis and Emotional Intelligence: The full-text transcriptions, along with associated call metadata (e.g., reason for the call, call duration, and geographical data), allow for sentiment analysis, enabling AI agents to gauge the emotional tone of customers. This helps the agents respond appropriately, whether it’s providing reassurance during frustrating technical issues or offering solutions in a polite, empathetic manner. Such capabilities are essential for improving customer satisfaction in automated systems.

Customizable Dialogue Systems: The dataset allows for categorizing and identifying recurring call patterns and issues. This means AI agents can be trained to recognize the types of queries that come up frequently, allowing them to automate routine tasks such as ...