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Streaming Analytics Market Analysis North America, APAC, Europe, Middle East and Africa, South America - US, China, UK, Canada, Japan - Size and Forecast 2024-2028

Streaming Analytics Market Analysis North America, APAC, Europe, Middle East and Africa, South America - US, China, UK, Canada, Japan - Size and Forecast 2024-2028

Published: May 2024 175 Pages SKU: IRTNTR45528

Market Overview at a Glance

$39.7 B
Market Opportunity
34.63%
CAGR
27.59
YoY growth 2023-2024(%)

Streaming Analytics Market Size 2024-2028

The streaming analytics market size is forecast to increase by USD 39.7 at a CAGR of 34.63% between 2023 and 2028.

  • The market is experiencing significant growth due to the increasing need to improve business efficiency in various industries. The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies is a key trend driving market growth. These technologies enable real-time data processing and analysis, leading to faster decision-making and improved operational performance. However, the integration of streaming analytics solutions with legacy systems poses a challenge. IoT platforms play a crucial role In the market, as IoT-driven devices generate vast amounts of data that require real-time analysis. Predictive analytics is another area of focus, as it allows businesses to anticipate future trends and customer behavior, leading to proactive decision-making.
  • Overall, the market is expected to continue growing, driven by the need for real-time data processing and analysis in various sectors.

    • What will be the Size of the Streaming Analytics Market During the Forecast Period?

    Streaming Analytics Market Size

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  • The market is experiencing significant growth due to the increasing demand for real-time insights from big data generated by emerging technologies such as IoT and API-driven applications. This market is driven by the strategic shift towards digitization and cloud solutions among large enterprises and small to medium-sized businesses (SMEs) across various industries, including retail. Legacy systems are being replaced with modern streaming analytics platforms to enhance data connectivity and improve production and demand response. The financial impact of real-time analytics is substantial, with applications in fraud detection, predictive maintenance, and operational efficiency. The integration of artificial intelligence (AI) and machine learning algorithms further enhances the market's potential, enabling businesses to gain valuable insights from their data streams.
  • Overall, the market is poised for continued expansion as more organizations recognize the value of real-time data processing and analysis.

    • How is this Streaming Analytics Industry segmented and which is the largest segment?

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

    • Deployment
      • Cloud
      • On premises
    • Type
      • Software
      • Services
    • Geography
      • North America
        • Canada
        • US
      • APAC
        • China
        • Japan
      • Europe
        • UK
      • Middle East and Africa
        • South America

        By Deployment Insights

        • The cloud segment is estimated to witness significant growth during the forecast period.

        Cloud-deployed streaming analytics solutions enable businesses to analyze data in real time using remote computing resources, such as the cloud. This deployment model streamlines business intelligence processes by collecting, integrating, and presenting derived insights instantaneously, enhancing decision-making efficiency. The cloud segment's growth is driven by benefits like quick deployment, flexibility, scalability, and real-time data visibility. Service providers offer these capabilities with flexible payment structures, including pay-as-you-go. Advanced solutions integrate AI, API, and event-streaming analytics capabilities, ensuring compliance with regulations, optimizing business processes, and providing valuable data accessibility. Cloud adoption in various sectors, including finance, healthcare, retail, and telecom, is increasing due to the need for real-time predictive modeling and fraud detection.

        SMEs and startups also benefit from these solutions due to their ease of use and cost-effectiveness. In conclusion, cloud-based streaming analytics solutions offer significant advantages, making them an essential tool for organizations seeking to digitize and modernize their IT infrastructure.

        Streaming Analytics Market Size

        Get a glance at the Streaming Analytics Industry report of share of various segments Request Free Sample

        The Cloud segment was valued at USD 4.40 in 2018 and showed a gradual increase during the forecast period.

        Regional Analysis

        • APAC is estimated to contribute 34% to the growth of the global market during the forecast period.

        Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

        Streaming Analytics Market Share by Geography

        For more insights on the market share of various regions, Request Free Sample

        In North America, the region's early adoption of advanced technology and high data generation make it a significant market for streaming analytics. The vast amounts of data produced in this tech-mature region necessitate intelligent analysis to uncover valuable relationships and insights. Advanced software solutions, including AI, virtualization, and cloud computing, are easily adopted to enhance business logic and optimize processes in developed industries. The market in North America is experiencing growth due to the abundance of use cases arising from these advanced technologies. Compliance regulations, cyber-attacks, and the need for real-time decision-making processes further drive the demand for streaming analytics.

        Cloud solutions offer ease of use, scalability, and security, making them a preferred deployment mode for businesses of all sizes, from large enterprises to startups. API integration and data connectivity enable seamless data accessibility and integration, while data models and visualizations facilitate better understanding of business metrics. Predictive models and real-time prediction capabilities add value by optimizing production and demand and detecting fraud cases in various commercial applications, including retail, healthcare, telecom, and IoT.

        Market Dynamics

        Our  researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

        What are the key market drivers leading to the rise In the adoption of Streaming Analytics Industry?

        Need to improve business efficiency is the key driver of the market.

      • Advanced analytics solutions, including streaming analytics, are increasingly adopted by businesses to gain real-time insights from vast data volumes. Streaming analytics enables organizations to analyze continuous data streams and make direct decisions based on real-time events. Adobe Inc. Is one such company offering advanced streaming analytics capabilities. This solution empowers businesses to analyze data from various digital touchpoints, enabling them to optimize costs, enhance business logic, and improve customer experiences. The integration of artificial intelligence (AI) and application programming interfaces (APIs) in streaming analytics solutions automate data accessibility, connectivity, and integration. Furthermore, cloud solutions provide scalability, ease of use, and compliance with regulations.
      • However, data privacy and security concerns are critical factors that businesses must address while adopting cloud solutions. The financial impact of streaming analytics is significant, with applications ranging from fraud detection in financial services to predictive maintenance in manufacturing and telecom industries. In the retail sector, location intelligence and real-time prediction help businesses optimize production and demand. Small and medium enterprises (SMEs) and startups also benefit from streaming analytics, as it enables them to make strategic shifts and compete with larger organizations. Despite the numerous benefits, technical drawbacks such as debugging and modifications can pose challenges. Nevertheless, the continuous advancements in emerging technologies like AI and the Internet of Things (IoT) are expected to address these challenges and further enhance the value of streaming analytics for businesses.

        • What are the market trends shaping the Streaming Analytics Industry?

        Integration with AI and ML technologies is the upcoming market trend.

      • The market is experiencing significant growth due to the integration of advanced technologies such as AI (Artificial Intelligence) and ML (Machine Learning). Businesses are leveraging these technologies to enhance the capabilities of streaming analytics solutions and gain more accurate and predictive insights. By analyzing real-time data streams, businesses can optimize their operations, improve customer experiences, and stay compliant with regulations. AI and ML enable the identification of patterns and trends in data, providing valuable insights for decision-making processes. For instance, they can be used for Fraud Detection In the Financial sector, predicting demand in Retail, or optimizing production and demand in Manufacturing.
      • Moreover, these technologies automate processes, ensuring ease of use and faster decision-making. Cloud adoption is another driving factor, with Cloud solutions offering scalability, security, and cost savings. The market caters to various industries, including Healthcare, Telecom, and IoT, addressing their unique requirements. SMEs and startups also benefit from these advanced solutions, enabling them to compete with larger organizations. Despite the numerous advantages, challenges remain, such as data accessibility, data connectivity, and data integration. Enhancements In these areas will further fuel market growth. In conclusion, the integration of AI and ML with streaming analytics is transforming businesses by providing real-time insights, automating processes, and driving innovation.

        • What challenges does the Streaming Analytics Industry face during its growth?

        Difficulty in integration of legacy systems with streaming analytics solutions is a key challenge affecting the industry growth.

      • In today's data-driven business landscape, the ability to process and analyze real-time data is becoming increasingly crucial for organizations to gain a competitive edge. Traditional data processing methods are no longer sufficient to keep up with the exponential growth of data. Streaming analytics, an advanced solution, is gaining popularity as it enables businesses to process continuous data streams in real-time. This technology is particularly beneficial for industries such as healthcare, retail, telecom, and finance, where real-time insights can lead to direct decisions and improved business processes. Cloud solutions are driving the adoption of streaming analytics, offering ease of use, scalability, and security.
      • Advanced capabilities such as AI, machine learning, and predictive models enable businesses to gain valuable insights from data and optimize production and demand. Compliance regulations and cyber-security concerns are also addressed through these solutions, ensuring data privacy and security. Moreover, streaming analytics can help businesses automate various processes, including fraud detection, location intelligence, and event-streaming analytics. API integration and data connectivity enable seamless data accessibility and integration with existing systems. Despite the technical drawbacks, the financial impact of streaming analytics is significant, with businesses experiencing increased efficiency, enhanced decision-making processes, and improved customer experiences. Small and medium enterprises (SMEs) and startups are also embracing this technology to modernize their legacy infrastructure and stay competitive.

        • Exclusive Customer Landscape

        The streaming analytics market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the streaming analytics market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.

        Streaming Analytics Market Share by Geography

         Customer Landscape

        Key Companies & Market Insights

        Companies are implementing various strategies, such as strategic alliances, streaming analytics market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence In the industry.

        Adobe Inc. - The market encompasses real-time data processing and analysis technologies, enabling businesses to gain insights from live data streams. This market is experiencing significant growth due to increasing data volumes, the need for instant decision-making, and advancements in cloud computing and IoT. Companies in various sectors, including finance, retail, and healthcare, are adopting Streaming Analytics solutions to enhance operational efficiency, improve customer experiences, and drive innovation. These solutions provide real-time visibility into data, enabling organizations to quickly identify trends, anomalies, and patterns, and respond accordingly. The market is expected to continue its expansion, driven by the increasing adoption of cloud-based services and the growing demand for real-time data processing and analysis.

        The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:

        • Adobe Inc.
        • Alphabet Inc.
        • Altair Engineering Inc.
        • Amazon.com Inc.
        • Cloudera Inc.
        • Conviva Inc.
        • Coralogix Ltd.
        • Hewlett Packard Enterprise Co.
        • Impetus Technologies Inc.
        • Informatica Inc.
        • Intel Corp.
        • International Business Machines Corp.
        • Microsoft Corp.
        • Mphasis Ltd.
        • Oracle Corp.
        • SAP SE
        • SAS Institute Inc.
        • Software AG
        • Striim International Inc.
        • Teradata Corp.
        • TIBCO Software Inc.

        Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.

        Research Analyst Overview

        Streaming analytics refers to the process of real-time data processing and analysis, enabling businesses to gain insights from continuous data streams. Advanced solutions in this domain leverage artificial intelligence (AI) and application programming interfaces (APIs) to automate data processing and enhance business logic and processes. The adoption of cloud-based streaming analytics solutions has surged due to their ease of use, scalability, and ability to integrate with various data sources. Cloud solutions offer businesses the flexibility to access data in real-time, optimize resource utilization, and ensure data accessibility and connectivity. Businesses across industries, including healthcare, retail, telecom, and finance, are increasingly relying on streaming analytics to make direct decisions and improve operational efficiency.

        The technology is particularly valuable in sectors where real-time event processing and prediction are crucial, such as fraud detection and cybersecurity. However, the shift towards streaming analytics is not without challenges. Compliance regulations, technical drawbacks, and the need for data privacy and security are key considerations for organizations. Legacy infrastructure and systems pose challenges for modernization and integration, necessitating modifications and enhancements. The emergence of IoT and other emerging technologies has further complicated the landscape, necessitating continuous data stream processing and real-time prediction capabilities. Location intelligence and metrics are increasingly important for businesses looking to gain valuable insights from their data.

        Despite these challenges, the financial impact of streaming analytics is significant. Startups and small and medium enterprises (SMEs) are increasingly adopting cloud-based solutions to optimize their business processes and gain a competitive edge. Large enterprises are modernizing their IT infrastructure to support real-time decision-making processes and improve production and demand forecasting. Real-life experiences demonstrate the power of streaming analytics in various applications. For instance, a retailer can use real-time data to optimize inventory levels and pricing, while a telecom provider can use the technology to monitor network performance and detect anomalies. In conclusion, streaming analytics is a critical component of digitalization and business modernization, enabling organizations to gain real-time insights and make informed decisions.

        The technology's ability to process and analyze continuous data streams in real-time is driving its adoption across industries, despite the challenges posed by compliance regulations, technical limitations, and legacy infrastructure.

        Market Scope

        Report Coverage

        Details

        Page number

        175

        Base year

        2023

        Historic period

        		 2018-2022

        Forecast period

        2024-2028

        Growth momentum & CAGR

        Accelerate at a CAGR of 34.63%

        Market growth 2024-2028

        USD 39.7 billion

        Market structure

        Fragmented

        YoY growth 2023-2024(%)

        27.59

        Key countries

        US, China, UK, Canada, and Japan

        Competitive landscape

        Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks

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        What are the Key Data Covered in this Streaming Analytics Market Research and Growth Report?

        • CAGR of the Streaming Analytics industry during the forecast period
        • Detailed information on factors that will drive the growth and forecasting between 2024 and 2028
        • Precise estimation of the size of the market and its contribution of the industry in focus to the parent market
        • Accurate predictions about upcoming growth and trends and changes in consumer behaviour
        • Growth of the market across North America, APAC, Europe, Middle East and Africa, and South America
        • Thorough analysis of the market’s competitive landscape and detailed information about companies
        • Comprehensive analysis of factors that will challenge the streaming analytics market growth of industry companies

        We can help! Our analysts can customize this streaming analytics market research report to meet your requirements.

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        Table of Contents not available.

        Research Methodology

        Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.

        INFORMATION SOURCES

        Primary sources

        • Manufacturers and suppliers
        • Channel partners
        • Industry experts
        • Strategic decision makers

        Secondary sources

        • Industry journals and periodicals
        • Government data
        • Financial reports of key industry players
        • Historical data
        • Press releases

        DATA ANALYSIS

        Data Synthesis

        • Collation of data
        • Estimation of key figures
        • Analysis of derived insights

        Data Validation

        • Triangulation with data models
        • Reference against proprietary databases
        • Corroboration with industry experts

        REPORT WRITING

        Qualitative

        • Market drivers
        • Market challenges
        • Market trends
        • Five forces analysis

        Quantitative

        • Market size and forecast
        • Market segmentation
        • Geographical insights
        • Competitive landscape

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        Frequently Asked Questions

        Streaming Analytics market growth will increase by 39.7 billion during 2024-2028.

        The Streaming Analytics market is expected to grow at a CAGR of 34.63% during 2024-2028.

        Streaming Analytics market is segmented by Deployment( Cloud, On premises) Type( Software, Services)

        Adobe Inc., Alphabet Inc., Altair Engineering Inc., Amazon.com Inc., Cloudera Inc., Conviva Inc., Coralogix Ltd., Hewlett Packard Enterprise Co., Impetus Technologies Inc., Informatica Inc., Intel Corp., International Business Machines Corp., Microsoft Corp., Mphasis Ltd., Oracle Corp., SAP SE, SAS Institute Inc., Software AG, Striim International Inc., Teradata Corp., TIBCO Software Inc. are a few of the key vendors in the Streaming Analytics market.

        APAC will register the highest growth rate of 33.5% among the other regions. Therefore, the Streaming Analytics market in APAC is expected to garner significant business opportunities for the vendors during the forecast period.

        US, China, UK, Canada, Japan

        • Need to improve business efficiency Businesses across several industries have realized that the availability of a large volume of data helps them to optimize costs and boost their revenue. Moreover is the driving factor this market.
        • the increasing demand for rapid improvement in productivity is compelling industries to focus on advanced analytics solutions such as clickstream analytics is the driving factor this market.
        • web analytics is the driving factor this market.
        • and predictive analytics. Similarly is the driving factor this market.
        • streaming analytics is an advanced analytics solution that provides real-time insights into current business information. The vendors such as Adobe Inc. enables the business organizations to mix is the driving factor this market.
        • match is the driving factor this market.
        • and analyze data from any digital point in the customer journey. With the in-depth analysis is the driving factor this market.
        • versatile reporting is the driving factor this market.
        • and predictive intelligence is the driving factor this market.
        • the business organizations gets insightful foundations that are needed for building a better customer experience.  Streaming analytics helps businesses to predict upcoming opportunities and challenges with a high level of precision. With the increasing need to rapidly improve business efficiency is the driving factor this market.
        • streaming analytics is becoming an indispensable tool. Moreover is the driving factor this market.
        • streaming analytics can provide great efficiency without the need for programming knowledge. Most streaming analytics platforms provide an intuitive user interface that benefits non-IT experts to create complex but precise analysis scenarios.  Streaming analytics helps food delivery companies to analyze the real-time demand based on the orders and helps them to assign delivery persons accordingly in specific localities. Similarly is the driving factor this market.
        • the need for improving business efficiency is driving the demand for streaming analytics in several other industries is the driving factor this market.
        • such as finance is the driving factor this market.
        • retail is the driving factor this market.
        • and telecommunication. This is expected to boost the growth of the global streaming analytics market during the forecast period. is the driving factor this market.

        The Streaming Analytics market vendors should focus on grabbing business opportunities from the Cloud segment as it accounted for the largest market share in the base year.