Big Data and Business Analytics Market Outlook

In 2023, the global Big Data and Business Analytics market size is estimated to be valued at approximately $274 billion, and with a projected compound annual growth rate (CAGR) of 12.4%, it is anticipated to reach around $693 billion by 2032. This significant growth is driven by the escalating demand for data-driven decision-making processes across various industries, which leverage insights derived from vast data sets to enhance business efficiency, optimize operations, and drive innovation. The increasing adoption of Internet of Things (IoT) devices, coupled with the exponential growth of data generated daily, further propels the need for advanced analytics solutions to harness and interpret this information effectively.

A critical growth factor in the Big Data and Business Analytics market is the increasing reliance on data to gain a competitive edge. Organizations are now more than ever looking to uncover hidden patterns, correlations, and insights from the data they collect to make informed decisions. This trend is especially prominent in industries such as retail, where understanding consumer behavior can lead to personalized marketing strategies, and in healthcare, where data analytics can improve patient outcomes through precision medicine. Moreover, the integration of big data analytics with artificial intelligence and machine learning technologies is enabling more accurate predictions and real-time decision-making, further enhancing the value proposition of these analytics solutions.

Another key driver of market growth is the continuous technological advancements and innovations in data analytics tools and platforms. Companies are increasingly investing in advanced analytics capabilities, such as predictive analytics, prescriptive analytics, and real-time analytics, to gain deeper insights into their operations and market environments. The development of user-friendly and self-service analytics tools is also democratizing data access within organizations, empowering employees at all levels to leverage data in their daily decision-making processes. This democratization of data analytics is reducing the reliance on specialized data scientists, thereby accelerating the adoption of big data analytics across various business functions.

The increasing emphasis on regulatory compliance and data privacy is also driving growth in the Big Data and Business Analytics market. Strict regulations, such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States, require organizations to manage and analyze data responsibly. This is prompting businesses to invest in robust analytics solutions that not only help them comply with these regulations but also ensure data integrity and security. Additionally, as data breaches and cybersecurity threats continue to rise, organizations are turning to analytics solutions to identify potential vulnerabilities and mitigate risks effectively.

Regionally, North America remains a dominant player in the Big Data and Business Analytics market, benefiting from the presence of major technology companies and a high rate of digital adoption. The Asia Pacific region, however, is emerging as a significant growth area, driven by rapid industrialization, urbanization, and increasing investments in digital transformation initiatives. Europe also showcases a robust market, fueled by stringent data protection regulations and a strong focus on innovation. Meanwhile, the markets in Latin America and the Middle East & Africa are gradually gaining momentum as organizations in these regions are increasingly recognizing the value of data analytics in enhancing business outcomes and driving economic growth.

Component Analysis

The Big Data and Business Analytics market is segmented by components into software, services, and hardware, each playing a crucial role in the ecosystem. Software components, which include data management and analytics tools, are at the forefront, offering solutions that facilitate the collection, analysis, and visualization of large data sets. The software segment is driven by a demand for scalable solutions that can handle the increasing volume, velocity, and variety of data. As organizations strive to become more data-centric, there is a growing need for advanced analytics software that can provide actionable insights from complex data sets, leading to enhanced decision-making capabilities.

In the services segment, businesses are increasingly seeking consultation, implementation, and support services to effective

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In a 2024 survey of small business leaders and IT professionals in the United States, 58 percent of respondents stated that employee data was their most compromised company data in cyberattacks. Additionally, 53 percent of respondents reported customer or consumer data as the second most impacted company data.

Data Subscription Service Market Outlook

The global data subscription service market size was valued at approximately USD 45 billion in 2023 and is expected to reach about USD 120 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. This impressive growth is driven by the increasing reliance on data-driven decision-making across various industries. Businesses and individuals are increasingly subscribing to data services to gain insights, optimize operations, and drive innovation, which in turn fuels market expansion.

Several factors contribute to the robust growth of the data subscription service market. First, the exponential increase in data generation and the need for real-time analytics are primary drivers. In today’s digital age, vast amounts of data are generated every second through various channels such as social media, IoT devices, and e-commerce platforms. Organizations require sophisticated data services to analyze and interpret this data, drawing actionable insights that can enhance their business strategies, optimize operations, and improve customer experiences. Therefore, the demand for data subscription services is soaring, leading to significant market expansion.

Second, the growing adoption of artificial intelligence (AI) and machine learning (ML) technologies is a pivotal growth factor. Data subscription services are integral to the functioning of AI and ML systems as they provide the necessary data inputs for training and refining algorithms. As these technologies become more prevalent across industries such as healthcare, finance, and retail, the reliance on high-quality data services increases. Companies are investing more in data subscription services to harness the full potential of AI and ML, thereby driving market growth.

Third, the rise of remote work and digital transformation initiatives has further augmented the demand for data subscription services. With the shift towards remote and hybrid work models, organizations are increasingly leveraging cloud-based data services to ensure seamless access to vital information regardless of location. Additionally, digital transformation efforts are pushing companies to modernize their data infrastructure, thereby increasing the uptake of subscription-based data services. These trends are expected to continue, contributing significantly to the growth of the market.

Regionally, North America holds the lion’s share of the market, driven by the early adoption of advanced technologies and a strong presence of key industry players. The region's technological infrastructure and focus on innovation make it a fertile ground for the proliferation of data subscription services. However, the Asia Pacific region is projected to witness the highest growth rate, fueled by rapid digitalization, increasing internet penetration, and growing investments in AI and ML technologies. European markets are also notable, with a strong emphasis on regulatory compliance and data privacy driving the adoption of sophisticated data management solutions.

Type Analysis

The data subscription service market can be segmented by type into individual and corporate subscriptions. Individual subscriptions are generally tailored for personal use, providing users with access to specific datasets, market reports, or analytics tools that assist in personal projects, research, or small business operations. As digital literacy increases and more consumers become data-savvy, the demand for individual data subscription services is on the rise. These services are often more affordable and offer flexible payment options, making them accessible to a broader audience.

On the other hand, corporate subscriptions command a significant share of the market due to their comprehensive service offerings and value propositions tailored for businesses. Corporate subscriptions often include access to a vast array of datasets, advanced analytics tools, and dedicated support services. These subscriptions are critical for enterprises looking to enhance their data-driven decision-making processes, optimize operations, and gain a competitive edge. The complexity and volume of data required by corporations necessitate robust data subscription services, driving significant market demand in this segment.

A notable trend in the corporate segment is the increasing preference for customized data solutions. Businesses are seeking subscription services that can be tailored to their unique needs and industry-specific requirements. This customization trend is prompting servi

CZ: Start-Up Procedures to Register a Business: Female data was reported at 9.000 Number in 2019. This stayed constant from the previous number of 9.000 Number for 2018. CZ: Start-Up Procedures to Register a Business: Female data is updated yearly, averaging 9.000 Number from Dec 2003 (Median) to 2019, with 17 observations. The data reached an all-time high of 10.000 Number in 2007 and a record low of 8.000 Number in 2017. CZ: Start-Up Procedures to Register a Business: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Czech Republic – Table CZ.World Bank.WDI: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.;World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme;Unweighted average;Data are presented for the survey year instead of publication year.

ChatGPT, an artificial intelligence (AI) powered chatbot, is most used by companies in the technical and education industries, with over *** companies using it in 2023. It is perhaps unsurprising that the technical field has embraced the use of ChatGPT, but it is interesting that so many educational institutes have begun to use it. While other industries do utilize the OpenAI-made chatbot, there are less than *** institutions and companies that use ChatGPT in other industries. This is especially true of agriculture, cultural, and legal industries, where only a single company is using ChatGPT in 2023.

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Data Entry Service Market Outlook

The global data entry service market size is poised to experience significant growth, with the market expected to rise from USD 2.5 billion in 2023 to USD 4.8 billion by 2032, achieving a Compound Annual Growth Rate (CAGR) of 7.5% over the forecast period. This growth can be attributed to several factors including the increasing adoption of digital technologies, the rising demand for data accuracy and integrity, and the need for businesses to manage vast amounts of data efficiently.

One of the key growth factors driving the data entry service market is the rapid digital transformation across various industries. As businesses continue to digitize their operations, the volume of data generated has increased exponentially. This data needs to be accurately entered, processed, and managed to derive meaningful insights. The demand for data entry services has surged as companies seek to outsource these non-core activities, enabling them to focus on their primary business operations. Additionally, the widespread adoption of cloud-based solutions and big data analytics has further fueled the demand for efficient data management services.

Another significant driver of market growth is the increasing need for data accuracy and integrity. Inaccurate or incomplete data can lead to poor decision-making, financial losses, and a decrease in operational efficiency. Organizations are increasingly recognizing the importance of maintaining high-quality data and are investing in data entry services to ensure that their databases are accurate, up-to-date, and reliable. This is particularly crucial for industries such as healthcare, BFSI, and retail, where precise data is essential for regulatory compliance, customer relationship management, and operational efficiency.

The cost-effectiveness of outsourcing data entry services is also contributing to market growth. By outsourcing these tasks to specialized service providers, organizations can save on labor costs, reduce operational expenses, and improve productivity. Service providers often have access to advanced tools and technologies, as well as skilled professionals who can perform data entry tasks more efficiently and accurately. This not only leads to cost savings but also allows businesses to reallocate resources to more strategic activities, driving overall growth.

From a regional perspective, the Asia Pacific region is expected to witness the highest growth in the data entry service market during the forecast period. This can be attributed to the region's strong IT infrastructure, the presence of numerous outsourcing service providers, and the growing adoption of digital technologies across various industries. North America and Europe are also significant markets, driven by the high demand for data management services in sectors such as healthcare, BFSI, and retail. The Middle East & Africa and Latin America are anticipated to experience steady growth, supported by increasing investments in digital infrastructure and the rising awareness of the benefits of data entry services.

Service Type Analysis

The data entry service market can be segmented into various service types, including online data entry, offline data entry, data processing, data conversion, data cleansing, and others. Each of these service types plays a crucial role in ensuring the accuracy, integrity, and usability of data. Online data entry services involve entering data directly into an online system or database, which is essential for real-time data management and accessibility. This service type is particularly popular in industries such as e-commerce, where timely and accurate data entry is critical for inventory management and customer service.

Offline data entry services, on the other hand, involve entering data into offline systems or databases, which are later synchronized with online systems. This service type is often used in industries where internet connectivity may be unreliable or where data security is a primary concern. Offline data entry is also essential for processing historical data or data that is collected through physical forms and documents. The demand for offline data entry services is driven by the need for accurate and timely data entry in sectors such as manufacturing, government, and healthcare.

Data processing services involve the manipulation, transformation, and analysis of raw data to produce meaningful information. This includes tasks such as data validation, data sorting, data aggregation, and data analysis. Data processing is a critical componen

Zimbabwe ZW: Ease of Doing Business Index: 1=Most Business-friendly Regulations data was reported at 159.000 NA in 2017. Zimbabwe ZW: Ease of Doing Business Index: 1=Most Business-friendly Regulations data is updated yearly, averaging 159.000 NA from Dec 2017 (Median) to 2017, with 1 observations. Zimbabwe ZW: Ease of Doing Business Index: 1=Most Business-friendly Regulations data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank.WDI: Business Environment. Ease of doing business ranks economies from 1 to 190, with first place being the best. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation. The index averages the country's percentile rankings on 10 topics covered in the World Bank's Doing Business. The ranking on each topic is the simple average of the percentile rankings on its component indicators.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; ; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.

According to the Cognitive Market Research Report, the Data Processing and Hosting Service market size in 2024 was XX Million and is projected to have a compounded annual growth rate of XX% from 2025 to 2033. The emergence of cloud-based platforms and the growing number of small and medium enterprises are driving the market growth of Data Processing and Hosting Services. This market is further segmented by type, application, and deployment. The shared hosting under product type, public website, and public deployment holds the dominant share in the data processing and hosting service. The market is divided into shared hosting, dedicated hosting, collocated hosting, virtual private server hosting, managed hosting, self-managed hosting, and others. The shared hosting sector leads the market since small and medium-sized businesses choose shared servers over other forms of hosting. The Asia-Pacific region is the most dominant due to its high share of the global internet population and major organizations' and SMEs' quick adoption of cloud services The Data Processing and Hosting Services Market is relatively competitive, with significant companies including GoDaddy Operating Company LLC, Bluehost (Endurance International Group), HostGator.com LLC, Hostinger International, Ltd., and Amazon Web Services Inc. Some players presently have a large market share. However, as hosting solutions for professional services progress, new firms are strengthening their market presence, consequently expanding their corporate footprint into emerging markets.

Market Dynamics of Data Processing And Hosting Service Market

Key Drivers of Data Processing And Hosting Service Market

The adoption of web and mobile applications drive the market growth

The boom in web and mobile apps has had a huge impact on the market of data processing and hosting services for backend infrastructure, especially in terms of data processing and data storage. As people use applications more and more for entertainment, shopping, communication, and even healthcare, the number of applications has risen astronomically. Millions of transactions and interactions are handled each day by sites like social networking websites, messaging apps, and online stores. For instance, the demand for virtual health care solutions surged, compelling data hosting providers to expand their infrastructure to support the growing data traffic at a rapid pace.

Web Hosting is gaining traction due to the emergence of cloud-based platforms

Web hosting services are gaining pace in response to increased customer demand for web hosting services that are appropriate for their needs. Furthermore, the increased acceptance of cloud services in organizations is opening up new potential for the web hosting market over time. The rise of the cloud has had a massive impact on data management and hosting services. It is a low-cost way for businesses to make use of current technology and design without incurring the high upfront costs of acquiring, installing, and configuring the necessary hardware, software, and infrastructure. Furthermore, major firms were able to swiftly adapt to a developing data-driven economy by leveraging their current resources and competencies to manage it efficiently. Furthermore, SMBs globally are increasingly demanding cloud-based hosting services, which is likely to boost the web hosting sector throughout the projection period. The move to the cloud makes it easier to create programmes that users can use in their browsers rather than downloading on their devices. This greatly accelerates market expansion. Furthermore, with the introduction of web-based applications, app building became so simple that hosting several apps on a single server became straightforward. For instance, Hostinger International Ltd. is a well-known web hosting firm that offers hosting solutions. Hostinger is a trustworthy web hosting company. They offer fast loading speeds and excellent uptime rates to ensure that users may access the site anytime they want. Hostinger also provides knowledgeable and courteous customer service that is available around the clock. (Source: https://www.hostinger.in/about#:~:text=Hostinger%20is%20one%20of%20the,Hostinger%20and%20hustle%20with%20us) Therefore, the emergence of cloud-based platforms has expanded the data processing and hosting service market.

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Madagascar MG: Ease of Doing Business Index: 1=Most Business-friendly Regulations data was reported at 162.000 NA in 2017. Madagascar MG: Ease of Doing Business Index: 1=Most Business-friendly Regulations data is updated yearly, averaging 162.000 NA from Dec 2017 (Median) to 2017, with 1 observations. Madagascar MG: Ease of Doing Business Index: 1=Most Business-friendly Regulations data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Madagascar – Table MG.World Bank.WDI: Business Environment. Ease of doing business ranks economies from 1 to 190, with first place being the best. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation. The index averages the country's percentile rankings on 10 topics covered in the World Bank's Doing Business. The ranking on each topic is the simple average of the percentile rankings on its component indicators.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; ; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.

Data Modeling Software Market Outlook

The global data modeling software market size was valued at approximately USD 2.5 billion in 2023 and is projected to reach around USD 6.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% from 2024 to 2032. The market's robust growth can be attributed to the increasing adoption of data-driven decision-making processes across various industries, which necessitates advanced data modeling solutions to manage and analyze large volumes of data efficiently.

The proliferation of big data and the growing need for data governance are significant drivers for the data modeling software market. Organizations are increasingly recognizing the importance of structured and unstructured data in generating valuable insights. With data volumes exploding, data modeling software becomes essential for creating logical data models that represent business processes and information requirements accurately. This software is crucial for implementation in data warehouses, analytics, and business intelligence applications, further fueling market growth.

Technological advancements, particularly in artificial intelligence (AI) and machine learning (ML), are also propelling the data modeling software market forward. These technologies enable more sophisticated data models that can predict trends, optimize operations, and enhance decision-making processes. The integration of AI and ML with data modeling tools allows for automated data analysis, reducing the time and effort required for manual processes and improving the accuracy of the results. This technological synergy is a significant growth factor for the market.

The rise of cloud-based solutions is another critical factor contributing to the market's expansion. Cloud deployment offers numerous advantages, such as scalability, flexibility, and cost-effectiveness, making it an attractive option for businesses of all sizes. Cloud-based data modeling software allows for real-time collaboration and access to data from anywhere, enhancing productivity and efficiency. As more companies move their operations to the cloud, the demand for cloud-compatible data modeling solutions is expected to surge, driving market growth further.

In terms of regional outlook, North America currently holds the largest share of the data modeling software market. This dominance is due to the high concentration of technology-driven enterprises and a strong emphasis on data analytics and business intelligence in the region. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period. Rapid digital transformation, increased cloud adoption, and the rising importance of data analytics in emerging economies like China and India are key factors contributing to this growth. Europe, Latin America, and the Middle East & Africa also present significant opportunities, albeit at varying growth rates.

Component Analysis

In the data modeling software market, the component segment is divided into software and services. The software component is the most significant contributor to the market, driven by the increasing need for advanced data modeling tools that can handle complex data structures and provide accurate insights. Data modeling software includes various tools and platforms that facilitate the creation, management, and optimization of data models. These tools are essential for database design, data architecture, and other data management tasks, making them indispensable for organizations aiming to leverage their data assets effectively.

Within the software segment, there is a growing trend towards integrating AI and ML capabilities to enhance the functionality of data modeling tools. This integration allows for more sophisticated data analysis, automated model generation, and improved accuracy in predictions and insights. As a result, organizations can achieve better data governance, streamline operations, and make more informed decisions. The demand for such advanced software solutions is expected to rise, contributing significantly to the market's growth.

The services component, although smaller in comparison to the software segment, plays a crucial role in the data modeling software market. Services include consulting, implementation, training, and support, which are essential for the successful deployment and utilization of data modeling tools. Many organizations lack the in-house expertise to effectively implement and manage data modeling software, leading to increased demand for professional services.

Space Data Analytics Market Outlook

The global space data analytics market size was valued at approximately $3.2 billion in 2023 and is projected to reach around $11.8 billion by 2032, reflecting a robust CAGR of 15.6% over the forecast period. Driven by the increasing deployment of satellites and growing advancements in machine learning and data analytics technologies, the market is poised for substantial growth. The convergence of these technologies allows for more efficient data collection, processing, and utilization, which fuels the demand for space data analytics across various sectors.

The primary growth factor for the space data analytics market is the exponential increase in satellite deployments. Governments and private entities are launching satellites for diverse purposes such as communication, navigation, earth observation, and scientific research. This surge in satellite launches generates vast amounts of data that require sophisticated analytical tools to process and interpret. Consequently, the need for advanced analytics solutions to convert raw satellite data into actionable insights is driving the market forward. Additionally, advancements in artificial intelligence (AI) and machine learning (ML) are enhancing the capabilities of space data analytics, making them more accurate and efficient.

Another significant growth driver is the escalating demand for real-time data and analytics in various industries. Sectors such as agriculture, defense, and environmental monitoring increasingly rely on satellite data for applications like precision farming, border surveillance, and climate change assessment. The ability to obtain real-time data from satellites and analyze it promptly allows organizations to make informed decisions swiftly, thereby improving operational efficiency and outcomes. Furthermore, the growing awareness about the advantages of space data analytics in proactive decision-making is expanding its adoption across multiple sectors.

Moreover, international collaborations and government initiatives aimed at space exploration and satellite launches are propelling the market. Many countries are investing heavily in space missions and satellite projects, creating a fertile ground for the space data analytics market to thrive. These investments are accompanied by supportive regulatory frameworks and funding for research and development, further encouraging innovation and growth in the sector. Additionally, the commercialization of space activities and the emergence of private space enterprises are opening new avenues for market expansion.

Artificial Intelligence in Space is revolutionizing the way we approach space exploration and data analysis. By integrating AI technologies with space missions, scientists and researchers can process vast amounts of data more efficiently and accurately. This integration allows for real-time decision-making and predictive analytics, which are crucial for successful space missions. AI's ability to learn and adapt makes it an invaluable tool for navigating the complex and unpredictable environment of space. As AI continues to evolve, its applications in space exploration are expected to expand, offering new possibilities for understanding our universe and enhancing the capabilities of space data analytics.

From a regional perspective, North America holds the largest market share due to the presence of leading space agencies, like NASA, and prominent private space companies, such as SpaceX and Blue Origin. Europe follows closely, driven by robust investments in space research and development by the European Space Agency (ESA). The Asia Pacific region is expected to witness the fastest growth rate, attributed to increasing satellite launches by countries like China and India, alongside growing investments in space technology and analytics within the region.

Component Analysis

The space data analytics market can be segmented by component into software, hardware, and services. The software segment commands a significant share of the market due to the development of sophisticated analytics tools and platforms. These software solutions are crucial for processing and interpreting the vast amounts of data collected from satellites. Advanced algorithms and AI-powered analytics enable users to extract meaningful insights from raw data, driving the adoption of these solutions across various sectors. The continuous innovation in software capabilities, such as enhanced visualization t

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United States US: Aerospace Industry: Trade Balance data was reported at 48.890 USD bn in 2021. This records an increase from the previous number of 37.029 USD bn for 2020. United States US: Aerospace Industry: Trade Balance data is updated yearly, averaging 39.437 USD bn from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 86.993 USD bn in 2016 and a record low of 20.681 USD bn in 1995. United States US: Aerospace Industry: Trade Balance data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Trade Statistics: OECD Member: Annual.

For the United States, from 2021 onwards, changes to the US BERD survey questionnaire allowed for more exhaustive identification of acquisition costs for ‘identifiable intangible assets’ used for R&D. This has resulted in a substantial increase in reported R&D capital expenditure within BERD. In the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008. From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.

Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly. Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category “wholesale trade” and consequently the BERD for total services.

U.S. R&D data are generally comparable, but there are some areas of underestimation:

1. i) Up to 2008, Government sector R&D performance covers only federal government activities. That by State and local government establishments is excluded;
2. ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures. For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.

Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.

The methodology for estimating researchers was changed as of 1985. In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities. As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.

Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector. The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.

Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000. 2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure – “R&D plant” in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.

The Data Processing and Hosting Services industry has transformed over the past decade, with the growth of cloud computing creating new markets. Demand surged in line with heightened demand from banks and a rising number of mobile connections across Europe. Many companies regard cloud computing as an innovative way of reducing their operating costs, which has led to the introduction of new services that make the sharing of data more efficient. Over the five years through 2025, revenue is expected to hike at a compound annual rate of 4.3% to €113.5 billion, including a 5.6% jump in 2025. Industry profit has been constrained by pricing pressures between companies and regions. Investments in new-generation data centres, especially in digital hubs like Frankfurt, London, and Paris, have consistently outpaced available supply, underlining the continent’s insatiable appetite for processing power. Meanwhile, 5G network roll-outs and heightened consumer expectations for real-time digital services have made agile hosting and robust cloud infrastructure imperative, pushing providers to invest in both core and edge data solutions. Robust growth has been fuelled by rapid digitalisation, widespread cloud adoption, and exploding demand from sectors such as e-commerce and streaming. Scaling cloud infrastructure, driven by both established giants, like Amazon Web Services (AWS), Microsoft Azure and Google Cloud and nimble local entrants, has allowed the industry to keep pace with unpredictable spikes in online activity and increasingly complex data needs. Rising investment in data centre capacity and the proliferation of high-availability hosting have significantly boosted operational efficiency and market competitiveness, with revenue growth closely tracking the boom in cloud and streaming services across the continent. Industry revenue is set to grow moving forward as European businesses incorporate data technology into their operations. Revenue is projected to boom, growing at a compound annual rate of 10.3% over the five years through 2030, to reach €185.4 billion. Growth is likely to be assisted by ongoing cloud adoption, accelerated 5G expansion, and soaring investor interest in hyperscale and sovereign data centres. Technical diversification seen in hybrid cloud solutions, edge computing deployments, and sovereign clouds, will create significant opportunities for incumbents and disruptors alike. Pricing pressures, intensified by global hyperscalers’ economies of scale and assertive licensing strategies, will pressurise profit, especially for smaller participants confronting rising capital expenditure and compliance costs.

An October 2024 survey among adults in the United States found that more than 30 percent of them strongly agree to not having enough control over how companies use their personal data. Overall, around three in four agreed to the statement. Only approximately 20 percent thought they had enough control over their personal data used by companies.

This layer contains data on the number of establishments, total employment, and total annual payroll for for 20 selected 4- and 5-digit North American Industry Classification System (NAICS) codes. This is shown by county and state boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. This layer is symbolized to show the total number of establishments depicted by size, and the average annual pay per employee, depicted by color.

Current Vintage: 2017

CBP Table: CB1700CBP

Data downloaded from: Census Bureau's API for County Business Patterns

Date of API call: June 1, 2019

The United States Census Bureau's County Business Patterns Program (CBP):

About this Program Data Technical Documentation News & Updates

This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data.

Data Processing Notes: Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 56 records - all US states, Washington D.C., Puerto Rico, and U.S. Island Areas Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov or Census Business Builder for more details on these withheld records.

Dynamic IP Proxy Service Market Outlook

The global Dynamic IP Proxy Service market size was estimated to be worth $1.5 billion in 2023, and is projected to reach approximately $5.2 billion by 2032, growing at a CAGR of 14.8% from 2024 to 2032. This substantial growth is driven by the increasing need for anonymized web browsing and heightened online security measures.

The demand for Dynamic IP Proxy Services is primarily fueled by the growing emphasis on cybersecurity and privacy. As the digital landscape expands, so too does the threat of cyberattacks, making anonymized browsing and secure internet access pivotal for both individuals and organizations. The increasing sophistication of cyber threats, including data breaches, phishing attacks, and online fraud, has necessitated the adoption of robust IP proxy services that can offer dynamic IP addresses to circumvent such risks effectively.

Moreover, the rise in remote work and the global shift towards digitalization have significantly bolstered the need for Dynamic IP Proxy Services. With more employees accessing company resources from remote locations, businesses are turning to dynamic IP solutions to ensure secure and encrypted connections. This trend has been accelerated by the COVID-19 pandemic, which has fundamentally altered the way businesses operate, pushing them towards more flexible and secure digital solutions. The market is also seeing growth due to the increased use of web scraping and data harvesting techniques by businesses aiming to gather intelligence and maintain a competitive edge.

Another critical factor driving the market is the growing regulatory scrutiny around data privacy and protection. Legislation such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the U.S. has placed stringent requirements on how companies manage and protect user data. Dynamic IP Proxy Services offer a way for companies to comply with these regulations by ensuring that data transmission is secure and that user identities remain anonymous.

Regionally, North America remains a dominant player in the Dynamic IP Proxy Service market, thanks to its advanced infrastructure and high adoption rates of cybersecurity solutions. However, Asia Pacific is expected to witness the fastest growth during the forecast period due to the rapid digital transformation across industries in countries like India and China. The rise of e-commerce, coupled with increasing internet penetration, is driving the demand for these services in the region.

Type Analysis

Dynamic IP Proxy Services can be broadly categorized into three types: Residential Proxy, Data Center Proxy, and Mobile Proxy. Residential Proxies are IP addresses assigned by Internet Service Providers (ISPs) to homeowners. These proxies are highly sought after due to their legitimacy and low likelihood of being flagged by websites, making them ideal for applications such as web scraping and ad verification. The demand for Residential Proxies is expected to grow significantly, driven by the need for reliable and trustable IP addresses that can bypass sophisticated detection mechanisms implemented by websites.

Data Center Proxies, on the other hand, are IP addresses provided by data centers and are not affiliated with ISPs. These proxies are typically used for tasks that require high-speed internet and large bandwidth, such as bulk data scraping and automated tasks. Their lower cost compared to Residential Proxies makes them an attractive option for businesses looking to perform large-scale data operations without incurring significant expenses. However, they are more susceptible to being blocked by websites due to their association with data centers.

Mobile Proxies represent a unique segment within the Dynamic IP Proxy Service market. These proxies use IP addresses assigned by mobile carriers, making them valuable for tasks that require mobile verification or browsing. The increasing use of mobile devices for internet access and the growing trend of mobile-first strategies among businesses are propelling the demand for Mobile Proxies. These proxies offer a high degree of anonymity and are less likely to be flagged or blocked, making them ideal for various applications, including market research and ad verification.

Each type of proxy service has its own set of advantages and disadvantages, and businesses often choose based on their specific needs and budgets. Residential Proxies are favored for their reliability, Data Center Proxies for their cos

Dataset notating the approved wholesale market companies in the various markets BIC regulates. Companies as of the most recent export date are authorized to operate as a wholesale market company.

This data is collected on the entities that apply with the Commission to operate as wholesale market companies throughout the City of New York

Each record represents an entity that is approved to operate in the City of New York by the Commission.

The BIC Number field is unique to every company that applies to the Commission. For wholesale market companies, the beginning letters indicate the market for which the company is located:

HPA - Hunts Point Adjacent Area HPP - Hunts Point Product Market HPM - Hunts Point Meat Market FFM - Hunts Point Fulton Fish Market GMM - Gansevoort Meat Market