Streaming Analytics Industry to Register Massive Growth and Surpass $50 Billion by 2026 – Ongoing Partnerships and Product Market Launches –

DUBLIN–(BUSINESS WIRE)–The report “Streaming Analytics Market by Component, Application (Supply Chain Management, Location Intelligence, Sales & Marketing, Fraud Detection), Vertical, Deployment Mode, Size organization and region – global forecast to 2026″ has been added to the report from offer.

The global streaming analytics market is expected to grow from USD 15.4 billion in 2021 to USD 50.1 billion in 2026, at a compound annual growth rate (CAGR) of 26.5% during the forecast period . The streaming analytics industry is driven by increased digitalization and emerging technologies such as big data, IoT, and AI to drive market growth. However, the strategic shift towards accurate real-time forecasting and increasing data connectivity through hybrid and multi-cloud environments are further contributing to the growth of the streaming analytics market.

On the basis of components, the service segment is expected to grow at a higher CAGR during the forecast period

The service segment of the streaming analytics market is further segmented into professional services (support and maintenance, deployment and integration) and managed services. This section discusses the market size and growth rate of each Services sub-segment based on type (for selected sub-segments) and region.

Based on mode of deployment, cloud segment is segmented to accommodate larger market size during the forecast period

Cloud computing refers to the storage, management, and processing of data through networks of remote servers, usually accessible over the Internet. According to Statista, cloud computing would generate more than $300 billion in revenue in 2020 as a component of IT services. At the same time, PwC shows that the COVID-19 crisis has further accelerated the transition to the cloud, according to data from the first quarter of 2020, cloud-related expenditure increased by 37% to reach $29 billion. The increasing generation of data brings various challenges for many organizations. These challenges include storage, privacy, and affordability.

Based on the application, the supply chain management segment is expected to grow at a higher CAGR during the forecast period

The application-based streaming analytics market is segmented into Fraud Detection, Sales & Marketing, Predictive Asset Management, Risk Management, Network Management & Optimization, Location Intelligence, Supply Chain Management , other applications (product innovation and customer management). The supply chain management segment is expected to grow at a rapid rate during the forecast period. Continuous analytics can help improve the performance of the order picking and inventory process in warehouse management with high accuracy. It aims to improve operational efficiency and effectiveness by enabling data-driven decisions at strategic, operational and tactical levels. It helps companies drive revenue growth, improve margins, better manage working capital, and improve overall control points throughout the supply chain.

Based on organization size, large enterprise segment to account for larger market size over the forecast period

Adoption of streaming analytics software and services by large enterprises is high due to growing cloud adoption, and the trend is expected to continue during the forecast period. Large companies accumulate huge amounts of data which can be attributed to the large customer base. In large enterprises, data plays a major role in evaluating the overall performance of organizations. Large companies leverage real-time data from a variety of sources; for example, social media feeds or sensors and cameras, each record must be treated in such a way as to preserve its relationship to other data and its sequence over time.

APAC is expected to grow at a higher CAGR during the forecast period

Asia-Pacific (APAC) has continuously presented lucrative market opportunities for streaming analytics software and service providers with notable increase in streaming analytics in its developed and emerging countries. Japan, China, and India have displayed many growth opportunities in the streaming analytics market. Due to a rapidly proliferating technology-backed economic structure, APAC is expected to become the fastest growing region in demand for streaming analytics software and services over the forecast period.

Research coverage

The market research covers streaming analysis on different segments. It aims to estimate market size and growth potential of this market across various segments, such as by component, application (supply chain management, sales & marketing, and fraud detection), vertical industry, deployment mode , organization size and region. Streaming Analytics regional analysis covers North America, Europe, APAC, MEA and Latin America.

The study also includes an in-depth competitive analysis of key market players along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Market dynamics

  • Drivers

    • Increased digitalization and emerging technologies such as Big Data, IoT, and AI to drive market growth

    • Strategic shift towards accurate real-time forecasts

    • Increased data connectivity through hybrid and multi-cloud environments

  • Constraints

    • Lack of integration of legacy systems with streaming analytics solutions

  • Opportunities

    • Real-time recommendations, pattern detection and anomaly detection to gain traction

    • Ongoing partnerships and product launches on the market

  • Challenges

    • Large-scale data processing in a decentralized environment

    • Data security concerns and strict data security regulations

    • Network slowdown due to COVID-19 pandemic to impact streaming analytics market growth

Case studies

  • Max uses the Cloudera platform to improve user experience by analyzing the causes of declined customer transactions in real time

  • Ibasis uses Striim’s analytics platform to gain deeper insight into network-related issues

  • Goya Foods uses Tibco to improve customer experience

  • ASX uses Tibco and avoids customer problems by approximately 78%

  • Greentube uses Cloudera platform and increases revenue by 2%

  • Severstal uses Cloudera CDH Data Lake to increase overall performance by 6.5%, delivering over 100,000 tonnes of additional metal processing per year

  • Intermountain Healthcare uses Informatica Enterprise Data Catalog to manage patient data

  • Trailer uses Software AG IoT & Analytics solution to get real-time data insights

  • An oil and gas company used Informatica’s platform to optimize costs and connect to upstream and downstream data in real time

Profiled companies

  • Adobe

  • Altair

  • AWS

  • axonize

  • Bangdb (Iqlect)

  • Cloudera

  • Convivia

  • Coralogix

  • Cruiser

  • Espertech

  • google

  • HPE

  • IBM

  • Iguazio

  • Momentum

  • Involve

  • Inetco

  • Computer science

  • Intel

  • Lenses

  • materialize

  • Microsoft

  • Mphase

  • Oracle

  • Quix

  • SAP

  • SAS

  • Software SA

  • SqlstreamComment

  • starting tree

  • Flow sets

  • Strim

  • Teradata

  • Tibco

  • Ververique

  • Wso2

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