The data cleansing software market is expanding rapidly, with a market size of XXX million in 2023 and a projected CAGR of XX% from 2023 to 2033. This growth is driven by the increasing need for accurate and reliable data in various industries, including healthcare, finance, and retail. Key market trends include the growing adoption of cloud-based solutions, the increasing use of artificial intelligence (AI) and machine learning (ML) to automate the data cleansing process, and the increasing demand for data governance and compliance. The market is segmented by deployment type (cloud-based vs. on-premise) and application (large enterprises vs. SMEs vs. government agencies). Major players in the market include IBM, SAS Institute Inc, SAP SE, Trifacta, OpenRefine, Data Ladder, Analytics Canvas (nModal Solutions Inc.), Mo-Data, Prospecta, WinPure Ltd, Symphonic Source Inc, MuleSoft, MapR Technologies, V12 Data, and Informatica. This report provides a comprehensive overview of the global data cleansing software market, with a focus on market concentration, product insights, regional insights, trends, driving forces, challenges and restraints, growth catalysts, leading players, and significant developments.

The Data Cleaning Tools Market is projected to grow at 16.9% CAGR, reaching $6.78 Billion by 2029. Where is the industry heading next? Get the sample report now!

The Data Preparation Tools market is experiencing robust growth, projected to reach a market size of $3 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 17.7% from 2025 to 2033. This significant expansion is driven by several key factors. The increasing volume and velocity of data generated across industries necessitates efficient and effective data preparation processes to ensure data quality and usability for analytics and machine learning initiatives. The rising adoption of cloud-based solutions, coupled with the growing demand for self-service data preparation tools, is further fueling market growth. Businesses across various sectors, including IT and Telecom, Retail and E-commerce, BFSI (Banking, Financial Services, and Insurance), and Manufacturing, are actively seeking solutions to streamline their data pipelines and improve data governance. The diverse range of applications, from simple data cleansing to complex data transformation tasks, underscores the versatility and broad appeal of these tools. Leading vendors like Microsoft, Tableau, and Alteryx are continuously innovating and expanding their product offerings to meet the evolving needs of the market, fostering competition and driving further advancements in data preparation technology. This rapid growth is expected to continue, driven by ongoing digital transformation initiatives and the increasing reliance on data-driven decision-making. The segmentation of the market into self-service and data integration tools, alongside the varied applications across different industries, indicates a multifaceted and dynamic landscape. While challenges such as data security concerns and the need for skilled professionals exist, the overall market outlook remains positive, projecting substantial expansion throughout the forecast period. The adoption of advanced technologies like artificial intelligence (AI) and machine learning (ML) within data preparation tools promises to further automate and enhance the process, contributing to increased efficiency and reduced costs for businesses. The competitive landscape is dynamic, with established players alongside emerging innovators vying for market share, leading to continuous improvement and innovation within the industry.

The size and share of the market is categorized based on Application (Data cleansing tools, Data integration software, Data transformation tools, Data enrichment solutions, Data validation tools) and Product (Data preparation, Data integration, Data cleansing, Data transformation, Data enrichment) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Clean Transportation Program Data 2022. The Clean Transportation Program (also known as Alternative and Renewable Fuel and Vehicle Technology Program) invests up to $100 million annually in a broad portfolio of transportation and fuel transportation projects throughout the state. The Energy Commission leverages public and private investments to support adoption of cleaner transportation powered by alternative and renewable fuels. The program plays an important role in achieving California’s ambitious goals on climate change, petroleum reduction, and adoption of zero-emission vehicles, as well as efforts to reach air quality standards. The program also supports the state’s sustainable, long-term economic development.Data within this application was last updated August 2024.For more information on the Clean Transportation Program, visit:https://www.energy.ca.gov/programs-and-topics/programs/clean-transportation-program

El tamaño del mercado de la Tamaña del Mercado del Software de Limpieza de Datos por Producto, Por Aplicacia, Por Geografía, Panorama Competitive Y Pronósico y pronóstico se clasifica en función de la aplicación (migración de datos, inteligencia empresarial, mantenimiento de CRM) y producto (evaluación de calidad de datos, eliminación de datos, estandarización de datos) y regiones geógicas (North America, Europe, ASIA, ASIA, ASIA, South America, Southamera Medio Oriente y África).

Este informe proporciona información sobre el tamaño del mercado y pronostica el valor del mercado, expresado en millones de dólares, en estos segmentos definidos.

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Data Science Platform Market Size 2025-2029

The data science platform market size is forecast to increase by USD 763.9 million at a CAGR of 40.2% between 2024 and 2029.

The market is experiencing significant growth, driven by the integration of artificial intelligence (AI) and machine learning (ML). This enhancement enables more advanced data analysis and prediction capabilities, making data science platforms an essential tool for businesses seeking to gain insights from their data. Another trend shaping the market is the emergence of containerization and microservices in platforms. This development offers increased flexibility and scalability, allowing organizations to efficiently manage their projects. 
However, the use of platforms also presents challenges, particularly In the area of data privacy and security. Ensuring the protection of sensitive data is crucial for businesses, and platforms must provide strong security measures to mitigate risks. In summary, the market is witnessing substantial growth due to the integration of AI and ML technologies, containerization, and microservices, while data privacy and security remain key challenges.

What will be the Size of the Data Science Platform Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing demand for advanced data analysis capabilities in various industries. Cloud-based solutions are gaining popularity as they offer scalability, flexibility, and cost savings. The market encompasses the entire project life cycle, from data acquisition and preparation to model development, training, and distribution. Big data, IoT, multimedia, machine data, consumer data, and business data are prime sources fueling this market's expansion. Unstructured data, previously challenging to process, is now being effectively managed through tools and software. Relational databases and machine learning models are integral components of platforms, enabling data exploration, preprocessing, and visualization.
Moreover, Artificial intelligence (AI) and machine learning (ML) technologies are essential for handling complex workflows, including data cleaning, model development, and model distribution. Data scientists benefit from these platforms by streamlining their tasks, improving productivity, and ensuring accurate and efficient model training. The market is expected to continue its growth trajectory as businesses increasingly recognize the value of data-driven insights.

How is this Data Science Platform Industry segmented and which is the largest segment?

The 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.

Deployment

  On-premises
  Cloud


Component

  Platform
  Services


End-user

  BFSI
  Retail and e-commerce
  Manufacturing
  Media and entertainment
  Others


Sector

  Large enterprises
  SMEs


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France


  APAC

    China
    India
    Japan


  South America

    Brazil


  Middle East and Africa

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

On-premises deployment is a traditional method for implementing technology solutions within an organization. This approach involves purchasing software with a one-time license fee and a service contract. On-premises solutions offer enhanced security, as they keep user credentials and data within the company's premises. They can be customized to meet specific business requirements, allowing for quick adaptation. On-premises deployment eliminates the need for third-party providers to manage and secure data, ensuring data privacy and confidentiality. Additionally, it enables rapid and easy data access, and keeps IP addresses and data confidential. This deployment model is particularly beneficial for businesses dealing with sensitive data, such as those in manufacturing and large enterprises. While cloud-based solutions offer flexibility and cost savings, on-premises deployment remains a popular choice for organizations prioritizing data security and control.

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The on-premises segment was valued at USD 38.70 million in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 48% 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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Data Quality Management Software Market size was valued at USD 4.32 Billion in 2023 and is projected to reach USD 10.73 Billion by 2030, growing at a CAGR of 17.75% during the forecast period 2024-2030.

Global Data Quality Management Software Market Drivers

The growth and development of the Data Quality Management Software Market can be credited with a few key market drivers. Several of the major market drivers are listed below:

Growing Data Volumes: Organizations are facing difficulties in managing and guaranteeing the quality of massive volumes of data due to the exponential growth of data generated by consumers and businesses. Organizations can identify, clean up, and preserve high-quality data from a variety of data sources and formats with the use of data quality management software.
Increasing Complexity of Data Ecosystems: Organizations function within ever-more-complex data ecosystems, which are made up of a variety of systems, formats, and data sources. Software for data quality management enables the integration, standardization, and validation of data from various sources, guaranteeing accuracy and consistency throughout the data landscape.
Regulatory Compliance Requirements: Organizations must maintain accurate, complete, and secure data in order to comply with regulations like the GDPR, CCPA, HIPAA, and others. Data quality management software ensures data accuracy, integrity, and privacy, which assists organizations in meeting regulatory requirements.
Growing Adoption of Business Intelligence and Analytics: As BI and analytics tools are used more frequently for data-driven decision-making, there is a greater need for high-quality data. With the help of data quality management software, businesses can extract actionable insights and generate significant business value by cleaning, enriching, and preparing data for analytics.
Focus on Customer Experience: Put the Customer Experience First: Businesses understand that providing excellent customer experiences requires high-quality data. By ensuring data accuracy, consistency, and completeness across customer touchpoints, data quality management software assists businesses in fostering more individualized interactions and higher customer satisfaction.
Initiatives for Data Migration and Integration: Organizations must clean up, transform, and move data across heterogeneous environments as part of data migration and integration projects like cloud migration, system upgrades, and mergers and acquisitions. Software for managing data quality offers procedures and instruments to guarantee the accuracy and consistency of transferred data.
Need for Data Governance and Stewardship: The implementation of efficient data governance and stewardship practises is imperative to guarantee data quality, consistency, and compliance. Data governance initiatives are supported by data quality management software, which offers features like rule-based validation, data profiling, and lineage tracking.
Operational Efficiency and Cost Reduction: Inadequate data quality can lead to errors, higher operating costs, and inefficiencies for organizations. By guaranteeing high-quality data across business processes, data quality management software helps organizations increase operational efficiency, decrease errors, and minimize rework.

Layer contains sites managed under the Site Cleanup Program and is intended for use and viewing in the Site Cleanup Program GIS Story. The DWQ at the State Water Board developed this GIS Story of the Site Cleanup Program to inform the public of its mission and duties. The story intends to depict the importance of the program, describe the program's main roles and responsibilities, and provide input on the current and potential future challenges of the Site Cleanup Program. For more information on the Water Board's Site Cleanup Program visit Site Cleanup Program (SCP) | California State Water Resources Control Board.

During a 2023 survey carried out among marketing leaders predominantly in consumer packaged goods and retail from North America, the most common driver for clean room strategies were in-depth analytics (named by 56 percent of respondents), ability to measure campaign results (54 percent), and ease of data integration (52 percent). In a different survey, 29 percent of responding U.S. marketers said they would focus more on data clean rooms in 2023 than they had in 2022.

The size and share of the market is categorized based on Type (Data quality assessment tools, Data cleansing solutions, Data governance platforms, Data monitoring software, Data stewardship tools) and Application (Data cleansing, Data profiling, Data validation, Data enrichment, Data governance) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Data Governance Software Market size was valued at USD 4.18 Billion in 2024 and is projected to reach USD 20.97 Billion by 2031, growing at a CAGR of 22.35% from 2024 to 2031.

Global Data Governance Software Market Drivers

Data Privacy Regulations: The increasing stringency of data privacy regulations such as GDPR, CCPA, and HIPAA mandates organizations to implement robust data governance practices. Data governance software helps companies ensure compliance with these regulations by managing data access, usage, and security.

Data Security Concerns: With the growing frequency and sophistication of cyber threats, organizations prioritize data security. Data governance software provides tools for defining and enforcing data security policies, monitoring data access and usage, and detecting and mitigating security breaches.

Data Quality Improvement: Poor data quality can lead to errors, inefficiencies, and inaccurate decision-making. Data governance software helps organizations establish data quality standards, define data quality metrics, and implement processes for data cleansing, validation, and enrichment to improve overall data quality.

Increasing Data Volumes and Complexity: Organizations are dealing with ever-increasing volumes of data from various sources, including structured and unstructured data, IoT devices, social media, and cloud applications. Data governance software helps manage this complexity by providing tools for data discovery, classification, and lineage tracking.

Digital Transformation Initiatives: Organizations undergoing digital transformation initiatives recognize the importance of data governance in ensuring the success of these initiatives. Data governance software facilitates data integration, collaboration, and governance across disparate systems and data sources, supporting digital transformation efforts.

Risk Management and Compliance: Effective data governance is essential for managing risks associated with data breaches, regulatory non-compliance, and reputational damage. Data governance software enables organizations to identify, assess, and mitigate risks related to data management and usage.

Global On Premises Data Integration Software market size 2025 was XX Million. On Premises Data Integration Software Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

This dataset shows Brownfield Cleanup Program (BCP) Sites that have been completed and issued a Certificate of Completion (COC) in the State of New York. Included in the data is the program site identification number; site name; site locality; site acreage; year certificate issued; length of time from the date the New York State Department of Environmental Conservation (NYSDEC) approved the BCP application to the date the COC was issued; and, highest allowable future use for the site and its potential redevelopment (as determined by: remedial program soil cleanup objectives; see 6NYCRR Part 375-6: http://www.dec.ny.gov/regs/15507.html.)

Port of Los Angeles - Clean Truck Program Statistics

Janitorial Software Market size was valued at USD 2.43 Billion in 2024 and is projected to reach USD 3.45 Billion by 2031, growing at a CAGR of 7.97% during the forecast period 2024-2031.

Global Janitorial Software Market Drivers

Growing Need for Operational Efficiency: Organisations in a variety of sectors are putting more and more emphasis on streamlining their processes in order to increase output and efficiency. With the use of janitorial software, cleaning companies may increase overall productivity, optimise resource allocation, and streamline operations with features like task management, scheduling, and real-time monitoring.

Growing Adoption of Automation and Internet of Things: The janitorial sector is undergoing a transformation thanks to the combination of automation technologies and Internet of Things (IoT) devices. IoT-enabled sensors and devices can record cleaning activities, keep an eye on the operation of equipment, and gather information on how the facility is used. Utilising this data, janitorial software can automate repetitive processes, plan cleanings according to demand, and offer predictive maintenance features, all of which increase productivity and lower costs.

Growing Attention to Maintenance and Facility Management: Building managers are realising more and more how crucial cleanliness and proactive maintenance are to improving tenant happiness, safety, and health. With the help of janitorial software solutions, businesses can keep their surroundings safe, clean, and well-maintained. These solutions include work order administration, asset tracking, and compliance monitoring.

Strict Regulatory Requirements and Compliance Standards: Businesses, especially those in the healthcare, hotel, and food services sectors, are subject to stringent cleaning and hygiene regulations enforced by regulatory agencies and industry standards groups. By streamlining paperwork, audit trails, and reporting, janitorial software assists businesses in adhering to regulations and lowers their risk of fines, penalties, and reputational harm.

Transition to Green Cleaning Methods: As people become more conscious of how conventional cleaning methods and chemicals affect the environment, they are choosing more environmentally friendly and sustainable cleaning products. With the use of janitorial software, businesses may monitor and oversee green cleaning programmes, which include using eco-friendly materials, energy-saving equipment, and waste reduction techniques, in accordance with legal requirements and corporate sustainability objectives.

A Growing Emphasis on Health and Hygiene: The COVID-19 pandemic has increased consciousness regarding the significance of sanitation, hygiene, and disinfection in halting the transmission of infectious illnesses. By adding capabilities like contactless scheduling, touchless workflows, and hygiene compliance monitoring, janitorial software systems have evolved to meet the changing needs of businesses and assist them in keeping a safe and healthy workplace for workers, clients, and guests.

Emergence of Mobile and Cloud Technologies: Real-time access to cleaning data, remote monitoring, and mobile workforce management have all been made possible by the widespread use of mobile devices and cloud computing, which has completely changed the janitorial software market. Cleaning personnel may get assignments, turn in reports, and connect with supervisors from any location with the use of mobile-enabled janitorial apps, which enhances responsiveness, cooperation, and communication.

La taille du marché du marché des logiciels de nettoyage des données est classée en fonction de l'application (migration des données, intelligence commerciale, maintenance du CRM) et produit (évaluation de la qualité des données, suppression en double, normalisation des données) et Afrique).

segments.

This dataset contains program, portfolio, and participant data from the New York State Clean Energy Dashboard (https://www.nyserda.ny.gov/Researchers-and-Policymakers/Clean-Energy-Dashboard/View-the-Dashboard). The Clean Energy Dashboard aggregates budgets and benefits progress data across dozens of programs administered by NYSERDA and utilities. The Clean Energy Dashboard features most of the programs and initiatives that contribute significantly to New York State’s aggressive clean energy goals while tracking progress against both utilities’ and New York State’s targets. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.