Latest news with #DataDriven
Globe and Mail
2 days ago
- Business
- Globe and Mail
Big Data Market Size, Share, Top Opportunities, Emerging Trends, Top Key Players Update, and Forecast 2028
Big Data Market by Offering (Software (Big Data Analytics, Data Mining), Services), Business Function (Marketing & Sales, Finance & Accounting), Data Type (Structured, Semi-structured, Unstructured), Vertical and Region - Global Forecast to 2028. The global big data market is expected to grow at a compound annual growth rate (CAGR) of 12.7% over the course of the forecast period, from an estimated USD 220.2 billion in 2023 to USD 401.2 billion by 2028. A confluence of forces is driving the expansion of big data solutions. These include the growing need for data-driven decision-making, the exponential growth in data volume, and the advent of artificial intelligence (AI) and machine learning (ML) in corporate applications. Download PDF Brochure@ By offering, big data consulting services segment to register the largest market share during the forecast period. Big data consulting services play a pivotal role in guiding businesses through the complexities of implementing and optimizing big data solutions. With a focus on tailored strategies, these services assist companies in harnessing the full potential of their data. The dominance of big data consulting services can be attributed to the increasing awareness among businesses about the strategic importance of data-driven decision-making. Current market trends reflect a growing demand for personalized, industry-specific consulting, as organizations seek expertise to navigate evolving technologies and extract maximum value from their data assets. By business function, operations segment is poised for the fastest growth rate during the forecast period. The operations segment in the big data market involves optimizing internal processes, enhancing efficiency, and ensuring seamless workflows. This business function is set to register the fastest growth due to a heightened focus on operational excellence, cost reduction, and increased demand for real-time analytics in supply chain management. The integration of big data with operations business function indicate a rising adoption of predictive maintenance, inventory optimization, and demand forecasting, leveraging big data to streamline operations and gain a competitive edge in the ever-evolving business landscape. By region, Asia Pacific to account for highest growth rate during forecast period. The Asia Pacific region leads as the fastest-growing segment in the big data market, fueled by factors such as rapid digitization, expanding internet connectivity, and government support for technological advancements. Countries like China, India, and Japan are at the forefront of this revolution, with their burgeoning tech ecosystems, large consumer bases, and proactive adoption of big data solutions. The region's dynamic business landscape, coupled with a growing emphasis on data-driven strategies, positions Asia Pacific as a key player in shaping the future of the global big data market. Request Sample Pages@ Unique Features in the Big Data Market The Big Data market is uniquely defined by its ability to handle vast volumes of data, extremely high velocity of data generation, and extensive variety of data types—structured, semi-structured, and unstructured. Technologies in this market are engineered to efficiently capture, store, process, and analyze petabytes of data in real-time or near real-time. One of the most distinguishing features is the deep integration of advanced analytics and AI/ML algorithms. Big Data platforms empower organizations with predictive analytics, machine learning models, and data mining techniques that uncover hidden patterns, insights, and trends to drive data-driven decision-making. Modern Big Data solutions offer cloud-native, on-premise, and hybrid deployment models. These flexible architectures support scalable computing, elastic storage, and global access, making it easier for enterprises to manage their data infrastructure cost-effectively and securely. Big Data technologies provide real-time stream processing for time-sensitive applications like fraud detection, dynamic pricing, IoT analytics, and personalized recommendations. Frameworks such as Apache Kafka, Flink, and Spark Streaming enable businesses to act on live data streams instantly. Major Highlights of the Big Data Market The Big Data market is witnessing unprecedented growth driven by the exponential increase in data generation from various sources such as IoT devices, social media, mobile applications, and enterprise systems. This surge is compelling organizations across industries to adopt robust Big Data solutions to harness actionable insights and maintain competitive advantage. A key highlight is the growing demand for real-time analytics to support instant decision-making in sectors like finance, e-commerce, healthcare, and telecommunications. The ability to process and analyze data as it is generated is driving innovation in stream processing tools and low-latency infrastructure. The market is shifting towards cloud-based Big Data platforms, driven by benefits such as scalability, lower infrastructure costs, and ease of integration. Cloud providers like AWS, Microsoft Azure, and Google Cloud are offering specialized services for Big Data processing, storage, and analytics, accelerating adoption among businesses of all sizes. AI and ML are becoming integral to Big Data analytics. Their integration enhances capabilities such as automated pattern recognition, predictive modeling, and decision intelligence. This synergy is enabling businesses to derive more accurate, context-aware, and forward-looking insights from their data assets. Inquire Before Buying@ Top Companies in the Big Data Market Some major players in the big data market include Oracle (US), Microsoft (US), SAP (Germany), IBM (US), and SAS Institute (US) along with startups and SMEs such as Sisense (US), Ataccama (Canada), Imply (US), Centerfield (US), and Datapine (Germany). Oracle Oracle is one of the prominent players in the big data market, offering comprehensive solutions that empower organizations to harness the vast potential of massive datasets. With a robust suite of products and services, Oracle seamlessly integrates traditional and emerging technologies to provide scalable, high-performance solutions. Its Big Data Appliance and Oracle Exadata Database Machine are pivotal in handling the velocity, volume, and variety of big data. Oracle's approach emphasizes the entire data lifecycle, from ingestion and storage to processing and analysis. The platform supports various data types, including structured and unstructured data, enabling businesses to derive valuable insights from diverse sources. Advanced analytics tools and machine learning capabilities further enhance Oracle's big data offerings, facilitating predictive modeling and data-driven decision-making. The platform's flexibility accommodates both on-premises and cloud deployment models, ensuring adaptability to varying business needs. Microsoft Microsoft offers a comprehensive suite of solutions that cater to the evolving needs of businesses in today's data-driven landscape. With Azure, its cloud computing platform, Microsoft provides a robust and scalable infrastructure for handling large volumes of data. Azure's data services, including Azure Data Lake Storage and Azure SQL Data Warehouse, empower organizations to store, process, and analyze massive datasets efficiently. Powerful tools like Azure HDInsight integrate seamlessly with popular open-source big data frameworks like Hadoop and Spark, facilitating data processing and analytics at scale. Microsoft's commitment to open-source technologies ensures compatibility and flexibility for users seeking diverse solutions. Additionally, Azure Machine Learning enables businesses to harness the potential of machine learning algorithms, making predictive analytics and data-driven insights more accessible. Microsoft's holistic approach extends to user-friendly interfaces such as Power BI, which allows for intuitive data visualization and reporting. IBM IBM leverages its extensive expertise and cutting-edge technologies to empower organizations in extracting valuable insights from vast and complex datasets. With a comprehensive suite of big data solutions, IBM offers a robust platform that enables businesses to manage, analyze, and derive actionable intelligence from their data. The company's flagship big data platform, IBM BigInsights, incorporates advanced analytics, machine learning, and data processing capabilities, providing a scalable and efficient solution for handling massive datasets. IBM's commitment to open-source technologies, such as Apache Hadoop and Spark, underscores its dedication to fostering innovation and collaboration within the big data community. Moreover, IBM's cloud-based offerings, like IBM Cloud Pak for Data, facilitate seamless integration and accessibility, allowing enterprises to harness the power of big data irrespective of their infrastructure. With a rich history in data management and analytics, IBM continues to push the boundaries of what's possible in the big data landscape. Accenture Accenture, based in Ireland, is a global leader in professional services, offering a wide range of solutions in the big data market. They provide consulting, data engineering, and advanced analytics services to help organizations harness the power of data for insights and innovation. Accenture specializes in developing data strategies, building scalable architectures, leveraging cloud-based solutions, ensuring data governance and compliance, and delivering industry-specific solutions tailored to various sectors. SAP SAP, based in Germany, offers a comprehensive suite of big data solutions, including SAP HANA and SAP Data Intelligence. These platforms enable organizations to manage, analyze, and derive insights from large datasets in real-time. With a focus on industry-specific solutions, cloud-based offerings, and advanced analytics capabilities, SAP empowers businesses to harness the power of big data for informed decision-making and innovation.
Zawya
4 days ago
- Business
- Zawya
Ookla collaborates with National Telecom Regulatory Authority (NTRA) to organise the Telecommunications Regulatory Summit – Middle East & Africa, to discuss strategies for measuring and optimizing network performance
Ookla ® ( a global leader in connectivity intelligence, and the National Telecom Regulatory Authority (NTRA) organised the Telecommunications Regulatory Summit – Middle East&Africa in Cairo, Egypt, under the theme 'Harnessing Data and Technology for Superior QoS: Strategies for Measuring and Optimising Network Performance'. The event aimed to discuss strategies for collecting, using and sharing crowdsourced data to promote transparency, track policy impacts, and make informed investment decisions. The summit convened regulators from the Middle East and Africa, along with representatives from the International Telecommunication Union (ITU), the World Broadband Association (WBBA) and various industry experts. During the event, participants shared insights on diverse topics, ranging from network assessment techniques to emerging technologies and their impact on regulations, and the importance of data-driven insights. Furthermore, the regulatory summit highlighted the increasing role of crowdsourced data in telecom regulations and ways in which regulators can leverage it to identify service gaps, promote digital inclusion, drive innovation and accelerate market growth. By complementing traditional data sources, crowdsourced data enables more adaptive and competitive regulatory frameworks. During the event, discussions emphasised the vital role of high-speed internet connectivity in driving socio-economic development across the MEA region. According to studies, improvements in broadband speeds can contribute to GDP growth and improved labour productivity. In the region, investments in fixed broadband infrastructure, especially for the expansion of fibre-optic networks, are vital for improving service quality, bridging the digital divide, and attracting foreign investments. Participants also highlighted the need for comprehensive network assessments and extended regulatory oversight, especially for emerging services and indoor connectivity. Karim Yaici, Lead Industry Analyst for the Middle East and Africa at Ookla, said: 'We are delighted to organise the Telecommunications Regulatory Summit – Middle East&Africa in collaboration with NTRA in Cairo. The event highlighted the importance of data in helping regulators make smarter decisions. Access to and the use of crowdsourced data contribute to making more informed decisions, fostering transparency and ensuring that citizens in the MEA region benefit from high-quality, accessible and affordable connectivity.' Dr. Hossam Abdel-Mawla, Vice-President Technical Affairs and Quality of Service at NTRA, said: 'The Telecommunications Regulatory Summit – Middle East&Africa served as an ideal platform to foster collaborations and knowledge exchange among regulators, industry leaders and international organisations. By actively sharing best practices and exploring innovative data-driven strategies, we are shaping a future where telecom regulations ensure digital inclusion and economic growth across the region.' During the summit, Ahmed Nabawy, Director of Client Services at Ookla, also shared initial findings on 5G coverage and performance in Egypt and Tunisia. He highlighted the potential of Ookla's data in helping prioritise high-impact rollout areas by analysing 5G-capable device density. Furthermore, Ookla showcased its product portfolio strategy, which is centred on a unified data platform that transcends traditional quality of service (QoS) measurements to deliver deeper insights into network performance and user experiences. This solution leverages AI to generate actionable recommendations, empowering operators to make smarter decisions and enhance connected experiences. During the event, the sessions emphasised the need to move beyond traditional network metrics and incorporate quality of experience (QoE) metrics and address the complexities of modern digital services, including critical in-building connectivity. By leveraging advanced data collection and analysis tools, regulators can enhance transparency, improve accountability, and make smarter decisions. Distributed by APO Group on behalf of Ookla®. ABOUT OOKLA®: Ookla, a global leader in connectivity intelligence, brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights. Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected. Ookla is a division of Ziff Davis (NASDAQ: ZD), a vertically focused digital media and internet company whose portfolio includes leading brands in technology, entertainment, shopping, health, cybersecurity, and martech.
