International Panel Data Analysis of the Effect of Digitalization on Economic Growth

Description

The effect of digitalization on economic growth is examined with reference to a cobb-Douglas production function. So, the dependent variable is the economic growth measured by the Gross Domestic Product per capita measured at 2015 constant US dollars. To reproduce the digitalization, we consider four indicators which are : 1. Number of fixe subscriptions (per 100 people) 2. Number of mobile cellular subscriptions (per 100 people) 3. Number of broadband subscriptions (per 100 people) 4. Number of individuals using the internet (%of population) 5. Digitalization level as obtained by applying a PCA Moreover, we include several macro-economic variables as control variables which affect the relationship between Digitalization and economic growth: 6. Investment measured by gross fixed capital formation (as percentage of GDP). 7. Trade openness which is a country’s trade volume used as a proxy for the degree of openness of a country’s economy (as percentage of GDP) and which is measured as the sum of imports and exports. 8. Labor force which is the total of labor force participation rate. 9. Inflation is measured by the consumer price index (%). 10. Population 11. Consumption is the government consumption expenditure for goods and services (as a percentage of GDP).

Categories

Finance, Economic Growth, Information and Communication Technologies, Emerging Country, Developing Countries

Acknowledgements & Source

Abderrazek ELKHALDI,Nadia Sghaier,Monia Chikhaoui

Data Source: https://data.mendeley.com/datasets/ctm7vvpp7n/1

In this work, we provide predicted yearly performance improvement rates for nearly all definable technologies for the first time. We do this by creating a correspondence of all patents within the US patent system to a set of 1757 technology domains. A technology domain is a body of patented inventions achieving the same technological function using the same knowledge and scientific principles. These domains contain 97.2% of all patents within the entire US patent system. From the identified patent sets, we calculated the average centrality of the patents in each domain to predict their improvement rates, following a patent network-based methodology tested in prior work. They vary from a low of 2% per year for the Mechanical Skin treatment- Hair Removal and wrinkles domain to a high of 216% per year for the Dynamic information exchange and support systems integrating multiple channels domain, but more that 80% of technologies improve at less than 25% per year. Fast improving domains are concentrated in a few technological areas. The domains that show improvement rates greater than the predicted rate for integrated chips, from Moore’s law, are predominantly based upon software and algorithms. In addition, the rates of improvement were not a strong function of the patent set size.

The population share with internet access in the United Kingdom as of 2025 was nearly ** percent. It was forecast to continuously increase between 2024 and 2029 by in total *** percentage points. After the ninth consecutive increasing year, the internet penetration is estimated to reach ***** percent and therefore a new peak in 2029. Notably, the population share with internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via any means. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly. While it was estimated at ***** zettabytes in 2025, the forecast for 2029 stands at ***** zettabytes. Thus, global data generation will triple between 2025 and 2029. Data creation has been expanding continuously over the past decade. In 2020, the growth was higher than previously expected, caused by the increased demand due to the coronavirus (COVID-19) pandemic, as more people worked and learned from home and used home entertainment options more often.

An AI-powered workforce for 2030 is predicted in the dataset. Four columns are present in it: - Domain: The IT domain name is contained in this field as a string (text data). - Type of data: Text or VARCHAR - Job Title: This column is a string (text data) that lists job titles pertaining to the IT domain. - Type of data: Text or VARCHAR - Growth Anticipated by 2030: This column shows the anticipated rate of job growth expressed as a percentage; because it includes a percentage symbol (such as "120%"), it is also a string. (to accommodate growth percentages such as "150%") - Data type: VARCHAR(5)

Techsalerator’s Business Technographic Data for Iran: Unlocking Insights into Iran's Technology Landscape

Techsalerator’s Business Technographic Data for Iran offers a comprehensive and detailed dataset crucial for businesses, market analysts, and technology vendors aiming to understand and engage with companies operating in Iran. This dataset provides in-depth insights into the technological environment, capturing and organizing information related to technology stacks, digital tools, and IT infrastructure used by businesses across the country.

Please reach out to us at info@techsalerator.com or visit Techsalerator Contact.

Top 5 Most Utilized Data Fields

• Company Name: This field lists the names of companies in Iran, allowing technology vendors to identify potential clients and enabling analysts to assess technology adoption trends within specific businesses.

• Technology Stack: This field details the technologies and software solutions utilized by a company, such as ERP systems, CRM software, and cloud services. Understanding a company's technology stack is crucial for evaluating its digital maturity and operational requirements.

• Deployment Status: This field indicates whether the technology is currently in use, planned for future implementation, or under evaluation. Vendors can use this information to gauge the level of technology adoption and interest among companies in Iran.

• Industry Sector: This field specifies the industry in which the company operates, such as oil and gas, manufacturing, or finance. Knowledge of the industry helps vendors tailor their products to sector-specific needs and emerging trends in Iran.

• Geographic Location: This field identifies the company's headquarters or primary operations within Iran. Geographic information supports regional analysis and helps understand localized technology adoption patterns across the country.

Top 5 Technology Trends in Iran

• Oil and Gas Technology: Given Iran's significant role in the global oil and gas industry, there is a strong focus on advanced technologies such as exploration and production tools, seismic analysis software, and energy management systems.

• Fintech Innovations: The financial technology sector is experiencing rapid growth, with businesses adopting digital payment solutions, mobile banking apps, and blockchain technologies to enhance financial transactions and services.

• E-commerce Growth: The e-commerce sector in Iran is expanding, with companies increasingly leveraging online marketplaces, digital payment gateways, and logistics technology to improve customer reach and operational efficiency.

• Cybersecurity: With the rise in digital transactions and online activities, there is a heightened emphasis on cybersecurity. Companies in Iran are investing in data protection solutions, encryption technologies, and secure communication systems to protect against cyber threats.

• Smart Manufacturing: The push towards Industry 4.0 is evident in Iran, with companies adopting smart manufacturing technologies such as IoT-enabled machinery, automated production systems, and advanced data analytics to enhance operational efficiency.

Top 5 Companies with Notable Technographic Data in Iran

• National Iranian Oil Company (NIOC): As a major player in the oil and gas sector, NIOC utilizes advanced exploration and production technologies, digital asset management, and energy management solutions.

• Bank Melli Iran: A leading financial institution, Bank Melli Iran is implementing digital banking services, mobile apps, and fintech solutions to enhance customer experience and streamline operations.

• Digikala: Iran's largest e-commerce platform, Digikala, leverages sophisticated online shopping technologies, digital payment systems, and logistics solutions to serve a growing customer base.

• Iran Telecommunications Company (TCI): TCI plays a critical role in providing telecommunication services, focusing on expanding its network infrastructure, improving connectivity, and investing in next-generation technologies.

• Khorasan Industrial Group: A significant player in the manufacturing sector, Khorasan Industrial Group is adopting smart manufacturing technologies, automation, and data analytics to optimize production processes and improve product quality.

Accessing Techsalerator’s Business Technographic Data

For those interested in accessing Techsalerator’s Business Technographic Data for Iran, please contact info@techsalerator.com with your specific requirements. Techsalerator offers customized quotes based on the number of data fields and records needed, with datasets available for delivery within 24 hours. Ongoing access options can also be arranged upon request.

Included Data Fields

• Company Name
• Technology Stack
• Deployment Status
• Ind...

An Approach to Optimize Device Power Performance Towards Energy Efficient Next Generation 5G Networks

A Thermal Aware Approach to Enhance 5G Device Performance and Reliability in mmWave Networks

If you use this dataset and code or any herein modified part of it in any publication, please cite the papers:

A. Thantharate, C. Beard and S. Marupaduga, "An Approach to Optimize Device Power Performance Towards Energy Efficient Next Generation 5G Networks," 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2019, pp. 0749-0754, doi: 10.1109/UEMCON47517.2019.8993067.

A. Thantharate, C. Beard and S. Marupaduga, "A Thermal Aware Approach to Enhance 5G Device Performance and Reliability in mmWave Networks," 2020 International Symposium on Networks, Computers and Communications (ISNCC), 2020, pp. 1-5, doi: 10.1109/ISNCC49221.2020.9297313.

Please reach out adtmv7@umkc.edu if you have any additional questions.

An Approach to Optimize Device Power Performance Towards Energy Efficient Next Generation 5G Networks https://ieeexplore.ieee.org/abstract/document/8993067/

In Fifth Generation (5G), wireless cellular networks, smartphone battery efficiency, and optimal utilization of power have become a matter of utmost importance. Battery and power are an area of significant challenges considering smartphones these days are equipped with advanced technological network features and systems. These features require much simultaneous power to make decisions and to transfer information between devices and network to provide best the user experience. Furthermore, to meet the demands of increased data capacity, data rate, and to provide the best quality of service, there is a need to adopt energy-efficient architectures. This paper presents system-level architectural changes on both User Equipment (UE) and Network elements along with a proposal to modify control signaling as part of Radio Resource Control messages using smartphone battery level. Additionally, we presented real-world 5G mmWave field results, showing impacts on device battery life in varying RF conditions and proposed methods to allocate optimal network resources and improve the energy efficiency by modifying radio layer parameters between devices and base stations. Without these proposed architecture level and system-level algorithm changes, realizing optimal and consistent 5G speeds will be near impossible.

**A Thermal Aware Approach to Enhance 5G Device Performance and Reliability in mmWave Networks https://ieeexplore.ieee.org/abstract/document/9297313 ** 5G NR (New Radio) mmWave networks are creating novel avenues of numerous possibilities and improving mobile broadband in terms of capacity, throughput, and performance, driven by the insatiable demand for faster and better user experience. However, one of the critical problem areas for User Equipment (UE) in mmWave networks is the fast depletion of UE battery power, increase in thermal levels caused by limited coverage and lot of overhead signaling due to rapid radio frequency (RF) and environment changes. With the growing inclusion of advanced functionality on mobile devices, power consumption is growing in parallel, which causes devices to increase thermal temperature, causing an impact on overall system performance. This paper presents system-level change proposal on control signaling between UE and network elements along with changes in UE thermal algorithms based on device battery levels and the coverage of the 5G mmWave networks to deliver the best device performance and user experience. Furthermore, we present real-world field results captured on mmWave networks showing impacts on UE performance with respect to thermal generation in different RF conditions. Our proposal will allocate optimal network resources by modifying the system selection on both UE and base stations. Without the proposed model, realizing the benefits of the 5G NR system along with achieving seamless cellular user experience would be near impossible.

5G , NR , LTE , mmWave , Smartphone , Battery , Power Optimization , Energy Efficiency , Network Efficiency, 5G NR , mmWave , Smartphone , Thermal , Device Temperature , User Equipment , Battery , Network Efficiency , Load Balancing , 3GPP , Power Efficiency , Green Energy

Czech Republic ICT Usage: Internet Users: Employment Status: Employed data was reported at 98.214 % in 2023. This records an increase from the previous number of 97.510 % for 2022. Czech Republic ICT Usage: Internet Users: Employment Status: Employed data is updated yearly, averaging 88.255 % from Dec 2003 (Median) to 2023, with 21 observations. The data reached an all-time high of 98.214 % in 2023 and a record low of 34.000 % in 2003. Czech Republic ICT Usage: Internet Users: Employment Status: Employed data remains active status in CEIC and is reported by Czech Statistical Office. The data is categorized under Global Database’s Czech Republic – Table CZ.TB001: Information and Communicaton Technology Usage.

Improving the accuracy of prediction on future values based on the past and current observations has been pursued by enhancing the prediction's methods, combining those methods or performing data pre-processing. In this paper, another approach is taken, namely by increasing the number of input in the dataset. This approach would be useful especially for a shorter time series data. By filling the in-between values in the time series, the number of training set can be increased, thus increasing the generalization capability of the predictor. The algorithm used to make prediction is Neural Network as it is widely used in literature for time series tasks. For comparison, Support Vector Regression is also employed. The dataset used in the experiment is the frequency of USPTO's patents and PubMed's scientific publications on the field of health, namely on Apnea, Arrhythmia, and Sleep Stages. Another time series data designated for NN3 Competition in the field of transportation is also used for benchmarking. The experimental result shows that the prediction performance can be significantly increased by filling in-between data in the time series. Furthermore, the use of detrend and deseasonalization which separates the data into trend, seasonal and stationary time series also improve the prediction performance both on original and filled dataset. The optimal number of increase on the dataset in this experiment is about five times of the length of original dataset.

As of October 2025, 6.04 billion individuals worldwide were internet users, which amounted to 73.2 percent of the global population. Of this total, 5.66 billion, or 68.7 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 2025. In the Netherlands, Norway, and Saudi Arabia, 99 percent of the population used the internet as of February 2025. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Eastern Asia was home to the largest number of online users worldwide—over 1.34 billion at the latest count. Southern Asia ranked second, with around 1.2 billion internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2024, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in African countries, with around a 10-percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller usage gap between these two genders. As of 2024, global internet usage was higher among individuals between 15 and 24 years old across all regions, with young people in Europe representing the most considerable usage penetration, 98 percent. In comparison, the worldwide average for the age group of 15 to 24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.

As of 2023, nearly ** percent of digital leaders globally stated that their companies adopted cloud technology either on small or large scale. Big data/ analytics were the second most popular adopted technology with around ** percent of respondents reporting the same. Artificial intelligence/ machine learning At the same time, ** percent of respondents were considering using Artificial intelligence (AI) / machine learning (ML) technology, while ** percent said that their companies were piloting the implementation AI/ML technology. What is cloud computing?   Cloud computing refers to the use of networks of remote servers accessed over the internet to store, manage, and process data. It offers customers access to a wide range of technologies while lowering costs and reducing the need for technical expertise. The cloud service market is divided into three primary service models encompassing infrastructure, platforms, and software. Customers are able to choose between private, public, or hybrid cloud deployment depending on their business needs and security concerns. SaaS: the most widely adopted cloud solutions     In line with increases in companies’ adoption of cloud computing technologies, the worldwide revenue generated from these technologies has increased rapidly in recent years. Software as a Service (SaaS) is the largest segment of the global cloud computing market with revenues forecast to be around *** billion U.S. dollars in 2023. Popular applications of SaaS include customer relationship management and enterprise resource planning software.

According to Cognitive Market Research, the global Data Privacy Management Platform market size is USD 3158.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 39.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 1263.44 million in 2024 and will grow at a compound annual growth rate (CAGR) of 37.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 947.58 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 726.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 41.5% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 157.93 million in 2024 and will grow at a compound annual growth rate (CAGR) of 38.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 179.02 million in 2024 and will grow at a compound annual growth rate (CAGR) of 39.2% from 2024 to 2031.
VTEX Compliance Management is the largest segment of the global data privacy management platform market.

Market Dynamics of Data Privacy Management Platform Market

Key Drivers for Data Privacy Management Platform Market

Data Protection using AI

The rising use of technology in enterprises necessitates efficient data protection, which has resulted in an increased need for AI technology. The AI-infused technologies expedite the business process, providing improved data preservation and gathering while also improving data security. Furthermore, most firms collect data from a variety of touchpoints, including websites, mobile devices, and even Internet of Things (IoT) enabled devices. The collecting of data from numerous touchpoints creates a necessity for efficient data protection, which leads to the use of AI. With the increased usage of artificial intelligence, the organization's IT team protects data and ensures security.

Demand for cloud-based deployment will drive market expansion

This market is expected to grow steadily throughout the estimated period, owing to ongoing research and development activities to create critical advances. The cloud deployment option is ideal for firms who want to install analytics solutions at a minimal cost. It enables the organization to obtain data for all of its services at a reasonable cost. It means that the rapidly increasing demand for cloud-based deployment will drive market growth in the near future.

Restraint Factor for the Data Privacy Management Platform Market

High expense of these solutions

These high expenses limit the expansion of the Data Privacy Management Platform Market. The expenses of implementing and maintaining such a platform are high, and they may provide a considerable barrier to entry for enterprises willing to spend in data privacy management. Again, this is limited to the fact that these solutions are extremely complicated, necessitating specialized technology and knowledge, all of which raises their cost. As a result, certain companies may find it too expensive to implement these solutions, making it more difficult for them to make real data privacy improvements. Every firm must weigh the costs and benefits before deciding whether to invest in such a platform for effective data protection

Impact of Covid-19 on the Data Privacy Management Platform Market

The Covid-19 outbreak has acted as a key driver of growth in the data privacy management platform market. Sudden remote work, hefty dependence on digital technologies, dragged organizations down to take extra care in matters of data privacy and security. The pandemic accelerated the need for data privacy management platforms as companies sought to protect sensitive information associated with a work-from-home environment. Moreover, the pandemic situation created a very strong perception of cyber threats and actually emphasized robust data privacy solutions. Introduction of the Data Privacy Management Platform Market

The data privacy management platform market refers to the industry segment oriented toward rendering software solutions aimed at facilitating organizations in managing and protecting sensitive data in compliance with legislation related to data privacy. These platforms offer tools and f...

This dataset provides a detailed view of South Asian countries' socio-economic, environmental, and governance metrics from 2000 to 2023. It compiles key indicators like GDP, unemployment, literacy rates, energy use, governance measures, and more to facilitate a comprehensive analysis of each country’s growth, stability, and development trends over the years. The data covers Bangladesh, Bhutan, India, Pakistan, Nepal, Sri Lanka, Afghanistan, and Maldives.

Key Indicators Economic Metrics: Includes GDP (both total and per capita in USD), annual GDP growth rates, inflation, and foreign direct investment. These metrics offer insight into economic health, growth rate, and international investment trends across the region. Employment and Trade: Tracks unemployment rates as a percentage of the labor force and trade (as a percentage of GDP), helping assess workforce stability and international commerce engagement. Income and Poverty: Features the Gini index (for income inequality) and poverty headcount ratio at $2.15/day, showing income distribution and poverty levels. These indicators reveal disparities and poverty within each country. Population Statistics: Includes total population, annual population growth, and urban population percentage, capturing demographic trends and urbanization rates. Social Indicators: Covers literacy rates, school enrollment in primary education, life expectancy at birth, infant mortality rates, and access to electricity, basic water, and sanitation services. These data points help measure the population’s health, education levels, and access to essential services. Environmental and Energy Metrics: Tracks CO2 emissions, PM2.5 air pollution, renewable energy consumption, and forest area. This environmental data is crucial for analyzing air quality, sustainable energy use, and forest coverage trends. Governance Indicators: Includes metrics such as control of corruption, political stability, regulatory quality, rule of law, and voice and accountability. These indicators reflect each country’s governance quality and institutional stability. Digital and Technological Growth: Measures internet usage rates, research and development spending, and high-technology exports. These statistics indicate digital access, innovation, and technological progress. This dataset, sourced from the World Bank DataBank, provides a robust foundation for studying South Asia's socio-economic, environmental, and governance progress. By analyzing these diverse indicators, researchers and policymakers can gain a deeper understanding of the region’s development path and identify areas that need improvement.

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Visible Light Communication Market Size 2024-2028

The visible light communication market size is forecast to increase by USD 316.02 billion at a CAGR of 89.62% between 2023 and 2028. The market is experiencing significant growth due to the increasing demand for high-speed data services in various industries. One of the primary drivers of this market is the integration of process automation in industries, leading to the adoption of VLC technology for data transmission. Major verticals such as aerospace, automotive, consumer electronics, hospitals, and IOT are exploring the use of VLC technology for bidirectional transmission of data. However, environmental interferences and fading of signals pose challenges to the market. The integration of VLC technology in consumer electronic devices is on the rise, with applications spanning from smart homes to connected cars, smart manufacturing, and smart grid management. Ethernet-based network solutions, such as fiber-based Ethernet and fiber-optic lines, are emerging as potential alternatives to address these challenges. The dominance of competing technologies, such as Wi-Fi and Bluetooth, also impacts the market growth. The market trends indicate the growing adoption of VLC technology in 4G networks and its potential application in sectors like healthcare, where high-speed data services are crucial.

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The market is gaining traction as an innovative solution for indoor navigation systems, offering several advantages over traditional radio frequency (RF) technology. Li-Fi, also known as light fidelity, utilizes light-emitting diodes (LEDs) as sources to transmit data, contrasting RF-based networks that rely on electromagnetic radiations. Optical and wireless communication systems, including Light-emitting diodes (LED) and Free Space Optics (FSO), are paving the way for faster and safer data transfer by leveraging advanced technologies that enable high-speed, reliable communication without the need for physical cables, making them ideal for modern networking and telecommunication applications. Li-Fi technology enables battery-free duplex communication between devices, allowing for seamless data transfer between smartphones and VLC receivers. This energy-efficient system is particularly attractive for consumer electronics, as it reduces the reliance on batteries and minimizes power consumption.

Furthermore, indoor navigation systems are a growing application for Li-Fi technology. By integrating Li-Fi into smart lighting systems, businesses, and organizations can provide accurate and reliable location-based services, enhancing the user experience and improving operational efficiency. Digitization and the increasing adoption of Internet of Things (IoT) devices have led to a rise in data transmission requirements. Li-Fi technology offers a potential solution, providing high-speed data transfer rates with minimal interference and improved security compared to RF communication. Cyber security is a critical concern in today's digital landscape. Li-Fi technology offers an added layer of security, as the data transmission occurs via light waves, which are difficult to intercept or hack.

Market Segmentation

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

Application

  Indoor networking
  LBS
  ICE
  Underwater communication


End-user

  Retail
  Consumer electronics
  Automotive and transportation
  Healthcare
  Others


Geography

  North America

    US


  APAC

    China
    Japan


  Europe

    Germany
    UK


  South America



  Middle East and Africa

By Application Insights

The indoor networking segment is estimated to witness significant growth during the forecast period. Visible light communication (VLC) technology is making significant strides in the indoor navigation systems market, particularly in sectors such as retail and hospitality. This technology, also known as Li-Fi (Light Fidelity), utilizes LED lights to transmit data, offering several advantages over traditional Wi-Fi. With higher data transfer rates and immunity to electromagnetic interference, VLC is an attractive solution for crowded and sensitive environments. Indoor navigation systems equipped with VLC technology are enhancing the customer experience in retail and hospitality industries. These systems enable targeted advertising, improving sales for retailers.

Moreover, the use of existing infrastructure and low data rates significantly reduces installation costs. The market is expected to grow substantially during the forecast period, with major verticals like healthcare, education, and transportation also adopting this technology. Light-emitting diodes (LEDs) are the primary components of VLC system

Techsalerator’s Business Technographic Data for Israel: Unlocking Insights into Israel's Technology Landscape

Techsalerator’s Business Technographic Data for Israel provides a detailed and comprehensive dataset essential for businesses, market analysts, and technology vendors seeking to understand and engage with companies operating within Israel. This dataset offers in-depth insights into the technological landscape, capturing and organizing data related to technology stacks, digital tools, and IT infrastructure used by businesses in the country.

Please reach out to us at info@techsalerator.com or visit Techsalerator Contact.

Top 5 Most Utilized Data Fields

• Company Name: This field lists the names of companies in Israel, enabling technology vendors to target potential clients and allowing analysts to assess technology adoption trends within specific businesses.

• Technology Stack: This field outlines the technologies and software solutions a company uses, such as accounting systems, customer management software, and cloud services. Understanding a company's technology stack is key to evaluating its digital maturity and operational needs.

• Deployment Status: This field indicates whether the technology is currently deployed, planned for future deployment, or under evaluation. Vendors can use this information to assess the level of technology adoption and interest among companies in Israel.

• Industry Sector: This field specifies the industry in which the company operates, such as technology, finance, or healthcare. Knowing the industry helps vendors tailor their products to sector-specific demands and emerging trends in Israel.

• Geographic Location: This field identifies the company's headquarters or primary operations within Israel. Geographic information aids in regional analysis and understanding localized technology adoption patterns across the country.

Top 5 Technology Trends in Israel

• Cybersecurity Innovations: Israel, known for its strong cybersecurity sector, continues to lead with advanced solutions in threat detection, data protection, and secure communications, driven by a robust tech ecosystem and governmental support.

• Artificial Intelligence and Machine Learning: AI and ML technologies are rapidly advancing in Israel, with startups and established companies focusing on applications ranging from natural language processing to predictive analytics and automation.

• Fintech Solutions: The fintech sector in Israel is thriving, with innovative solutions in digital payments, blockchain technology, and financial data analytics, driven by a vibrant startup culture and investor interest.

• Healthtech Advancements: Israel's healthtech industry is growing, with significant investments in telemedicine, digital health records, and AI-driven diagnostics, reflecting the country’s focus on improving healthcare delivery and outcomes.

• Smart Cities and IoT: The smart cities initiative is gaining momentum in Israel, with increasing deployment of IoT technologies to enhance urban infrastructure, improve public services, and drive sustainability.

Top 5 Companies with Notable Technographic Data in Israel

• Check Point Software Technologies: A global leader in cybersecurity, Check Point provides cutting-edge solutions for threat prevention, firewall protection, and secure networking, significantly influencing the tech landscape in Israel.

• Wix.com: Known for its website building platform, Wix is at the forefront of web development technologies, offering a range of tools for creating and managing websites with ease.

• Mobileye: A pioneer in advanced driver-assistance systems and autonomous vehicle technologies, Mobileye is revolutionizing the automotive industry with its innovative solutions and partnerships.

• IronSource: Specializing in app monetization and user acquisition, IronSource is a key player in the mobile advertising and app development sectors, driving growth and engagement for businesses worldwide.

• Teva Pharmaceutical Industries: As a major global pharmaceutical company headquartered in Israel, Teva is leveraging advanced technologies in drug development, production, and distribution to enhance healthcare solutions.

Accessing Techsalerator’s Business Technographic Data

For those interested in accessing Techsalerator’s Business Technographic Data for Israel, please contact info@techsalerator.com with your specific needs. Techsalerator offers customized quotes based on the required number of data fields and records, with datasets available for delivery within 24 hours. Ongoing access options can also be arranged upon request.

Included Data Fields

• Company Name
• Technology Stack
• Deployment Status
• Industry Sector
• Geographic Location
• IT Infrastructure
• Software Solutions
• Technology Us...

Techsalerator’s Business Technographic Data for Qatar: Unlocking Insights into Qatar's Technology Landscape

Techsalerator’s Business Technographic Data for Qatar offers a comprehensive dataset vital for businesses, technology vendors, and analysts aiming to understand and engage with the companies operating within Qatar. This dataset provides detailed insights into the nation’s technological landscape, capturing information related to technology stacks, digital tools, and IT infrastructure used by businesses across various sectors in Qatar.

Please reach out to us at info@techsalerator.com or visit Techsalerator Contact.

Top 5 Most Utilized Data Fields

• Company Name: Lists the names of companies in Qatar, enabling technology vendors to target potential clients and allowing market analysts to assess technology adoption patterns within specific businesses.

• Technology Stack: Provides a breakdown of technologies and software solutions used by companies, including ERP systems, cloud platforms, and cybersecurity tools. This data is crucial for understanding a company’s digital maturity and operational needs.

• Deployment Status: Highlights whether the technology is currently in use, being evaluated, or planned for future deployment. Vendors can leverage this information to gauge the level of technology adoption among companies in Qatar.

• Industry Sector: Identifies the specific industry in which the company operates, such as energy, finance, or logistics. This field helps technology vendors tailor solutions to sector-specific challenges and trends in Qatar.

• Geographic Location: Specifies the company's headquarters or primary operations within Qatar. This data aids in regional analysis, helping to identify localized technology adoption trends in different parts of the country.

Top 5 Technology Trends in Qatar

• Smart City Technologies: As part of Qatar's National Vision 2030, there is significant investment in smart city technologies, including IoT, AI, and data analytics, driving innovation in sectors like transportation, healthcare, and urban planning.

• Energy Sector Digitalization: With its robust energy industry, Qatar is increasingly incorporating digital technologies such as automation, AI, and predictive analytics to optimize production and improve operational efficiency in oil, gas, and renewable energy sectors.

• Cybersecurity Advancements: With the rapid growth of digital services and online infrastructure, cybersecurity has become a top priority for companies in Qatar. Investments in encryption, secure communications, and threat detection systems are on the rise.

• E-commerce Growth: E-commerce and digital payment solutions are expanding rapidly in Qatar, fueled by increasing consumer demand for online shopping and services. Businesses are adopting e-commerce platforms and integrating digital payment gateways to tap into this growing market.

• Cloud Computing and Data Centers: Cloud infrastructure is gaining momentum in Qatar as businesses move towards scalable, flexible IT solutions. Sectors such as finance, healthcare, and education are leading the adoption of cloud services to enhance efficiency and data management.

Top 5 Companies with Notable Technographic Data in Qatar

• Qatar National Bank (QNB): The largest financial institution in the region, QNB is leveraging advanced digital banking services, mobile applications, and cybersecurity measures to offer seamless and secure banking experiences.

• Ooredoo Qatar: As a leading telecom provider, Ooredoo is driving digital transformation across the country through 5G deployment, cloud services, and smart solutions for businesses and consumers.

• Qatar Petroleum: A major player in the global energy market, Qatar Petroleum is adopting advanced digital tools like AI and predictive maintenance to streamline operations and maximize efficiency in oil and gas production.

• Vodafone Qatar: A key telecommunications company, Vodafone Qatar is investing in next-gen technologies, including IoT and cloud services, to support businesses in the region and expand its digital service offerings.

• Hamad Medical Corporation (HMC): As a leading healthcare provider, HMC is implementing cutting-edge health IT solutions, telemedicine platforms, and cloud-based systems to improve patient care and operational efficiency.

Accessing Techsalerator’s Business Technographic Data

For those interested in accessing Techsalerator’s Business Technographic Data for Qatar, please contact info@techsalerator.com with your specific needs. Techsalerator offers customized quotes based on the required number of data fields and records, with datasets available for delivery within 24 hours. Ongoing access options can also be arranged upon request.

Included Data Fields

• Company Name
• Techn...

This layer shows Technology Access by Household. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer represents the underlying data for several data visualizations on the Tempe Equity Map.Data visualized as a percent of total households in given census tract.Layer includes:Key demographicsTotal Households % With a Desktop or Laptop Computer% With only a Desktop or Laptop% With a Smartphone% With only a Smartphone% With a Tablet% With only a tablet% With other type of computing device% With other type of computing device only% No computerCurrent Vintage: 2017-2021ACS Table(s): S2801 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of Census update: Dec 8, 2022Data Preparation: Data table downloaded and joined with Census Tract boundaries that are within or adjacent to the City of Tempe boundaryNational Figures: data.census.gov

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Big Data Market Size 2025-2029

The big data market size is valued to increase USD 193.2 billion, at a CAGR of 13.3% from 2024 to 2029. Surge in data generation will drive the big data market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 36% growth during the forecast period.
By Deployment - On-premises segment was valued at USD 55.30 billion in 2023
By Type - Services segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 193.04 billion
Market Future Opportunities: USD 193.20 billion
CAGR from 2024 to 2029 : 13.3%

Market Summary

In the dynamic realm of business intelligence, the market continues to expand at an unprecedented pace. According to recent estimates, this market is projected to reach a value of USD 274.3 billion by 2022, underscoring its significant impact on modern industries. This growth is driven by several factors, including the increasing volume, variety, and velocity of data generation. Moreover, the adoption of advanced technologies, such as machine learning and artificial intelligence, is enabling businesses to derive valuable insights from their data. Another key trend is the integration of blockchain solutions into big data implementation, enhancing data security and trust.
However, this rapid expansion also presents challenges, such as ensuring data privacy and security, managing data complexity, and addressing the skills gap. Despite these challenges, the future of the market looks promising, with continued innovation and investment in data analytics and management solutions. As businesses increasingly rely on data to drive decision-making and gain a competitive edge, the importance of effective big data strategies will only grow.

What will be the Size of the Big Data Market during the forecast period?

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How is the Big Data Market Segmented?

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

Deployment

  On-premises
  Cloud-based
  Hybrid


Type

  Services
  Software


End-user

  BFSI
  Healthcare
  Retail and e-commerce
  IT and telecom
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    Australia
    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Deployment Insights

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

In the ever-evolving landscape of data management, the market continues to expand with innovative technologies and solutions. On-premises big data software deployment, a popular choice for many organizations, offers control over hardware and software functions. Despite the high upfront costs for hardware purchases, it eliminates recurring monthly payments, making it a cost-effective alternative for some. However, cloud-based deployment, with its ease of access and flexibility, is increasingly popular, particularly for businesses dealing with high-velocity data ingestion. Cloud deployment, while convenient, comes with its own challenges, such as potential security breaches and the need for companies to manage their servers.

On-premises solutions, on the other hand, provide enhanced security and control, but require significant capital expenditure. Advanced analytics platforms, such as those employing deep learning models, parallel processing, and machine learning algorithms, are transforming data processing and analysis. Metadata management, data lineage tracking, and data versioning control are crucial components of these solutions, ensuring data accuracy and reliability. Data integration platforms, including IoT data integration and ETL process optimization, are essential for seamless data flow between systems. Real-time analytics, data visualization tools, and business intelligence dashboards enable organizations to make data-driven decisions. Data encryption methods, distributed computing, and data lake architectures further enhance data security and scalability.

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The On-premises segment was valued at USD 55.30 billion in 2019 and showed a gradual increase during the forecast period.

With the integration of AI-powered insights, natural language processing, and predictive modeling, businesses can unlock valuable insights from their data, improving operational efficiency and driving growth. A recent study reveals that the market is projected to reach USD 274.3 billion by 2022, underscoring its growing importance in today's data-driven economy. This continuous evolution of big data technologies and solutions underscores the need for robust data governa