Streaming Analytics Market

Streaming Analytics Market by Technology (Real-time Data Processing, Complex Event Processing, Data Visualization & Reporting, Event Stream Processing), Application (Fraud Detection, Predictive Asset Management, Risk Management) - Global Forecast to 2029

Report Code: TC 3451 Sep, 2024, by marketsandmarkets.com

[358 Pages Report] The streaming analytics market is anticipated to grow from USD 29.53 billion in 2024 to USD 125.85 billion in 2029, at a CAGR of 33.6% during the forecast period. One of the market’s key growth drivers is the rising demand for handling data in real-time. Streaming analytics allows companies to improve operational efficiency by constantly gathering, processing, and examining data from various sources. It also allows businesses across various sectors to enhance decision-making and quickly identify irregularities, leading to improved customer experience and lower operational expenses. BFSI companies, for instance, utilize streaming analytics to analyze data instantly, leading to a notable enhancement in financial inclusivity. This may lead to rapid loan disbursement, fraud identification, and early anticipation of loan defaults, resulting in enhanced operational efficiency and increased profits. Retail and e-commerce companies can also utilize streaming analytics to improve efficiency, cut costs through cloud migration, enhance customer interactions, accelerate application rollouts, and bolster overall digital transformation initiatives to remain competitive in the market.

Streaming Analytics Market

To know about the assumptions considered for the study, Request for Free Sample Report

Digital Agriculture Market Opportunities

To know about the assumptions considered for the study, download the pdf brochure

Market Dynamics

Driver: Integration of edge computing in streaming analytics to enhance real-time data processing

The integration of edge computing is significant for the growth of the streaming analytics market, facilitating real-time data processing for quick decision-making. Businesses can quickly analyze data streams and gain valuable insights with low latency by processing data at the edge instead of centrally. This feature allows businesses to promptly react to important occurrences, improving operational effectiveness and customer interaction. The streaming analytics market is set to experience substantial growth due to the increasing use of IoT devices and the growing need for instant data analysis in sectors such as healthcare, manufacturing, and telecommunications. Furthermore, integrating edge computing with streaming analytics decreases the volume of data sent to central servers, alleviating bandwidth constraints and improving security by storing confidential data on local devices.

Restraint: Integration and compatibility issues with legacy systems

The growth of the streaming analytics market is significantly hindered by the integration and compatibility issues with legacy systems and higher expenses. Businesses across various sectors, such as manufacturing and energy & utilities, depend on legacy systems that do not have the flexibility and computational capacity needed for contemporary streaming analytics. These legacy systems frequently use unique formats and inflexible structures, causing challenges when trying to connect to modern streaming analytics solutions. This leads to complex, costly, and time-consuming integration processes that may hinder the adoption of modern technologies. Moreover, legacy systems might not have the ability to process data in real-time, which can decrease the effectiveness of streaming analytics and hinder the ability to quickly gain useful insights.

Opportunity: Increasing integration of AI and ML technologies to enhance real-time decision-making and operational efficiency

The growing demand for the integration of AI and ML technologies in streaming analytics provides a great opportunity for companies to improve real-time data processing. AI and ML algorithms enable businesses to quickly discover patterns and trends in large volumes of data using automated analytics. This feature is particularly beneficial in industries such as BFSI and healthcare & life sciences, where timely information can greatly affect results. AI-driven streaming analytics assists businesses in anticipating customer behavior and market trends, resulting in enhanced strategic planning and risk management. The shift toward automation aligns with the growing need for decision-making based on data analysis. By utilizing these technologies, businesses can improve operational efficiency and provide customized customer interactions, boosting their competitive advantage in the rapidly changing digital environment.

Challenge: Managing growing volume and velocity of data streams

The growth of the streaming analytics market is restricted by the growing volume and velocity of data streams. As businesses across different industries increasingly rely on real-time data for decision-making, they must tackle the challenge of handling and analyzing large amounts of continuously produced data. Traditional analytics systems may have difficulty processing vast quantities of data, necessitating the adoption of sophisticated, scalable systems capable of handling high-volume data streams. Furthermore, complexity also rises as the rate at which data is generated and needs to be managed, which is called data velocity, accelerates. The need for rapid data processing to provide useful insights is high, pushing current technologies to their limits and necessitating advancements in real-time analytics. The need for large-scale infrastructure and advanced analytical tools poses a challenge for organizations, hindering growth and increasing costs in the streaming analytics market

Impact of Generative AI in Streaming Analytics Market

Digital Agriculture Market Impact

Streaming Analytics Market Ecosystem

The streaming analytics market ecosystem comprises software providers, service providers, cloud providers, regulatory bodies, and end users. Together, they facilitate immediate data processing through the provision of tools, infrastructure, compliance, and implementation, aiding sectors in extracting insights, enhancing productivity, and influencing well-informed decision-making, all the while safeguarding data security and privacy.

Top Companies in Digital Agriculture Market

By vertical, BFSI segment to account for largest market share during forecast period.

During the forecast period, the BFSI segment is estimated to hold the largest market share. The BFSI sector is rapidly implementing streaming analytics solutions to greatly improve operational efficiency and data-informed decision-making. Utilizing streaming analytics allows financial institutions to analyze data in real time, keeping a constant watch on transactions for fraud detection and anomaly recognition. It further improves risk management and ensures compliance with regulations, allowing businesses to respond promptly to potential threats. Additionally, personalized customer experiences are made possible by streaming analytics that examine user actions immediately to deliver highly tailored services and promotions.

By application, fraud detection segment to hold largest market share during forecast period.

During the forecast period, the fraud detection segment is anticipated to hold the largest market share. This growth is driven by the increasing complexity of cyber threats and the rising prevalence of online fraud across sectors such as BFSI, healthcare, and e-commerce. With the growing dependence of businesses on digital transactions, there has been a significant increase in the need for streaming analytics to identify fraudulent activities. These solutions use real-time data analysis and machine learning algorithms to detect suspicious patterns and reduce risks before they worsen. Through the examination of transaction patterns and other data streams in real time, streaming analytics enable companies to preemptively tackle risks, improve security, and avoid considerable monetary losses.

North America to account for largest market share during forecast period.

North America is estimated to hold the largest share of the streaming analytics market during the forecast period. This growth is primarily driven by the extensive use of IoT devices and the growing integration of AI and ML technologies. These advancements are enhancing the capability to process real-time data and offering valuable insights for different industries. Furthermore, the presence of several vendors offering streaming analytics solutions has also boosted the growth of the streaming analytics market across North America.

Digital Agriculture Market Size, and Share

Key Market Players

The major software and service providers in the streaming analytics market include IBM (US), Microsoft (US), Google (US), AWS (US), SAS Institute (US), SAP (Germany), Cloudera (US), Teradata (US), TIBCO (US), Software AG (Germany), Informatica (US), Intel (US), HPE (US), Adobe (US), Altair (US), Mphasis (India), Striim (US), Conviva (US), INETCO (Canada), WSO2 (US), Iguazio (Israel), Materialize (US), StarTree (US), Crosser (Sweden), Quix (UK), Lenses.io (UK), BangDB (India), Imply (US), Coralogix (Israel), Ververica (Germany), KX (US), Confluent (US), Estuary (US), Fivetran (US), Hazelcast (US), DataStax (US), Solace (Canada), Databricks (US), and GridGain Systems (US). These companies have used organic and inorganic growth strategies, such as product launches, acquisitions, and partnerships, to strengthen their position in the market.

Want to explore hidden markets that can drive new revenue in Streaming Analytics Market?

Scope of the Report

Report Metrics

Details

Market size available for years

2019–2029

Base year considered

2023

Forecast period

2024–2029

Forecast units

USD Billion

Segments covered

Offering, Application, Processing Type, Data Type, Vertical, and Region

Geographies covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

IBM (US), Microsoft (US), Google (US), AWS (US), SAS Institute (US), SAP (Germany), Cloudera (US), Teradata (US), TIBCO (US), Software AG (Germany), Informatica (US), Intel (US), HPE (US), Adobe (US), Altair (US), Mphasis (India), Striim (US), Conviva (US), INETCO (Canada), WSO2 (US), Iguazio (Israel), Materialize (US), StarTree (US), Crosser (Sweden), Quix (UK), Lenses.io (UK), BangDB (India), Imply (US), Coralogix (Israel), Ververica (Germany), KX (US), Confluent (US), Estuary (US), Fivetran (US), Hazelcast (US), DataStax (US), Solace (Canada), Databricks (US), and GridGain Systems (US)

This research report categorizes the streaming analytics market based on offering, application, vertical, and region.

Offering:
  • Software
    • By technology
      • Real-Time Data Processing
      • Complex Event Processing
      • Data Visualization & Reporting
      • Event Stream Processing
      • Others (Data Ingestion, and Data Storage)
    • By Deployment Mode
    • Cloud
      • Public
      • Private
      • Hybrid
    • On-Premises
  • Services
    • Professional Services
      • Consulting services
      • Deployment & integration services
      • Support and Maintenance services
    • Managed Services
By Application:
  • Fraud Detection
  • Sales Performance Tracking
  • Predictive Asset Management
  • Risk Management
  • Network Management & Optimization
  • Location Intelligence
  • Supply Chain Management
  • Customer Activity Monitoring
  • Product Innovation
  • Social Media Monitoring
  • Real-Time Threat Intelligence
  • Other Applications
By processing type:
  • Batch Processing
  • Real-Time Streaming
By data type:
  • Structured
  • Unstructured
By Verticals:
  • BFSI
    • Money Laundering Detection
    • Payment Fraud Detection
    • Stock Market Surveillance
    • Real-Time Credit Scoring
    • Trade Monitoring
    • Others (Market Risk Analysis, Operational & Liquidity Risk)
  • Retail & Ecommerce
    • Personalized Product Recommendations
    • Customer Segmentation
    • Trend Prediction
    • Customer 360 & Omni Channel Experience
    • Retail Inventory Management
    • Others (Point of Sale Management, Dynamic Product Bundling)
  • Healthcare & Life Sciences
    • Real-Time ICU Monitoring
    • Preventive Care
    • Diabetes Management
    • Patients & Clinical Informatics
    • Clinical Decision Support System
    • Others (Telehealth Services, Clinical Data Management)
  • Media & Entertainment
    • Personalized Content Recommendations
    • Viewer Insights & Optimization
    • Advertising & Targeted Marketing Strategies
    • Campaign Optimization
    • Content Creation
    • Others (Streamlining Content Production, Dynamic Ad Insertion)
  • Telecommunications
    • Real-Time Network Monitoring
    • Automated Diagnostics & Optimization
    • Automated Network Analysis
    • Network Planning
    • Others (Customer Experience Enhancement, Telecom Revenue Assurance)
  • Government & Public Sector
    • Law Enforcement & Public Safety
    • Real-Time Surveillance & Security
    • Real-Time Intelligence Analysis
    • Emergency Response Optimization
    • Others (Citizen Services, Smart City Management)
  • Manufacturing
    • Production Planning & Scheduling
    • Fault Prediction & Predictive Maintenance
    • Optimizing Product Quality
    • Monitoring Product Lines
    • Demand Forecasting & Inventory Management
    • Others (Optimizing Warranty Analysis, Smart Manufacturing)
  • Energy & Utilities
    • Real-Time Grid Monitoring & Management
    • Energy Optimization
    • Energy Trading
    • Grid & Asset Performance Optimization
    • Others (Demand Response & Load Management, Optimizing Maintenance Schedules)
  • Transportation & Logistics
    • Real-Time Vehicle Tracking
    • Route Optimization & Fuel Efficiency
    • Fleet Management
    • Driver Performance Monitoring
    • Others (Transportation Asset Maintenance, Flight Operations Optimization)
  • Other Verticals (Education, And Travel & Hospitality)
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • France
    • Germany
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • ANZ
    • Singapore
    • Rest of Asia Pacific
  • Middle East & Africa
    • Middle East
      • Saudi Arabia
      • UAE
      • Qatar
      • Turkey
      • Rest of the Middle East
    • Africa
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America

Recent Developments:

  • In July 2024, IBM acquired StreamSets, a leader in real-time data integration, to enhance its capabilities in data integration and observability. This acquisition will allow IBM customers to access and analyze data more effectively, with advancements in pipeline observability, automated data drift detection, and end-to-end data lineage. The integration will bolster IBM’s solutions for hybrid and multi-cloud environments.
  • In April 2024, SAS Institute and AWS deepened their partnership by expanding SAS-hosted Managed Services to the AWS platform and launching the SAS Viya Workbench on the AWS Marketplace. This collaboration enhances streaming analytics capabilities, allowing users to manage and derive insights from extensive machine learning models in real time, as demonstrated by Georgia-Pacific’s use of these technologies for high-performance AI development.
  • In April 2024, Informatica and Google Cloud expanded their partnership by launching an extension that integrates Informatica's data management capabilities with Google Cloud's platform. This collaboration focuses on enhancing trusted customer data analytics and enterprise AI applications, with an emphasis on streaming analytics to provide real-time insights and more responsive data-driven decisions.
  • In January 2024, Microsoft announced enhancements to Azure Stream Analytics' No-Code Editor, including advanced visualization, simplified query creation, and enhanced debugging tools. The update also broadens connectivity to support a wider range of data sources and destinations, aiming to deliver a more intuitive and user-friendly experience for both novice and experienced users.
  • In September 2023, IBM partnered with Cloudera to enhance real-time data movement and streaming analytics using Apache Kafka. This partnership aims to accelerate data-driven decision-making by integrating IBM's AI solutions with Cloudera's enterprise-grade data platform, benefiting customers with faster data pipeline development, improved cloud migration, and secure, trusted data across hybrid environments.

Frequently Asked Questions (FAQ):

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 35)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
    1.4 YEARS CONSIDERED 
    1.5 CURRENCY CONSIDERED 
    1.6 STAKEHOLDERS 
    1.7 SUMMARY OF CHANGES 
 
2 RESEARCH METHODOLOGY (Page No. - 40)
    2.1 RESEARCH DATA 
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key insights from industry experts
    2.2 DATA TRIANGULATION 
    2.3 MARKET SIZE ESTIMATION 
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
    2.4 MARKET FORECAST 
    2.5 RESEARCH ASSUMPTIONS 
    2.6 RESEARCH LIMITATIONS 
 
3 EXECUTIVE SUMMARY (Page No. - 52)
 
4 PREMIUM INSIGHTS (Page No. - 59)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN STREAMING ANALYTICS MARKET 
    4.2 MARKET, BY KEY APPLICATIONS, 2024–2029 
    4.3 NORTH AMERICA: MARKET, BY OFFERING AND KEY VERTICALS, 2024 
    4.4 STREAMING ANALYTICS MARKET, BY REGION, 2024 
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 62)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           5.2.1 DRIVERS
                    5.2.1.1 Rising demand for statistical computation and analysis of moving data streams
                    5.2.1.2 Integration of edge computing to enhance real-time data processing
                    5.2.1.3 Growing need for hyper-personalized customer interactions
           5.2.2 RESTRAINTS
                    5.2.2.1 Compatibility issues and higher expenses
                    5.2.2.2 Regulatory compliance complexity
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Rising investments in Industry 4.0
                    5.2.3.2 Increasing integration of AI technologies for profound insights and precise decision-making
           5.2.4 CHALLENGES
                    5.2.4.1 Managing growing volume and velocity of data streams
                    5.2.4.2 Issues related to data consistency
    5.3 CASE STUDY ANALYSIS 
           5.3.1 CASE STUDY 1: TRANSFORMING ELEVATOR MAINTENANCE WITH AZURE BY LEVERAGING STREAMING ANALYTICS FOR PROACTIVE AND EFFICIENT OPERATIONS
           5.3.2 CASE STUDY 2: UPS UTILIZES STRIIM AND GOOGLE BIGQUERY FOR AI-ENHANCED SECURE PACKAGE DELIVERY
           5.3.3 CASE STUDY 3: REAL-TIME EXPERIMENT ANALYTICS WITH APACHE FLINK AT PINTEREST
           5.3.4 CASE STUDY 4: ENHANCED OPERATIONAL EFFICIENCY AND STREAMLINED ALERT MANAGEMENT WITH CORALOGIX'S STREAMING ANALYTICS CAPABILITIES
           5.3.5 CASE STUDY 5: NETFLIX ENHANCES STREAMING EXPERIENCE WITH REAL-TIME ANALYTICS USING APACHE DRUID
           5.3.6 CASE STUDY 6: MACY’S APPROACHED STRIIM TO ENHANCE ITS OPERATIONAL EFFICIENCY
           5.3.7 CASE STUDY 7: INETCO HELPED UBA IN ITS DIGITAL TRANSFORMATION STRATEGY BY EFFECTIVELY MANAGING TRANSACTION PERFORMANCE
           5.3.8 CASE STUDY 8: STRIIM TRANSFORMS DISCOVERY HEALTH WITH REAL-TIME DATA FOR ENHANCED HEALTHCARE DELIVERY
    5.4 EVOLUTION OF STREAMING ANALYTICS MARKET 
    5.5 ECOSYSTEM ANALYSIS 
           5.5.1 SOFTWARE PROVIDERS
           5.5.2 SERVICE PROVIDERS
           5.5.3 CLOUD PROVIDERS
           5.5.4 END USERS
           5.5.5 REGULATORY BODIES
    5.6 TECHNOLOGY ANALYSIS 
           5.6.1 KEY TECHNOLOGIES
                    5.6.1.1 Data mining
                    5.6.1.2 Data warehousing
                    5.6.1.3 Data governance
                    5.6.1.4 Business intelligence
           5.6.2 COMPLEMENTARY TECHNOLOGIES
                    5.6.2.1 Cloud computing
                    5.6.2.2 Internet of Things
                    5.6.2.3 Edge computing
           5.6.3 ADJACENT TECHNOLOGIES
                    5.6.3.1 Machine learning
                    5.6.3.2 Data pipeline
                    5.6.3.3 Change data capture
                    5.6.3.4 NoSQL databases
    5.7 SUPPLY CHAIN ANALYSIS 
    5.8 REGULATORY LANDSCAPE 
           5.8.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.8.2 REGULATIONS
                    5.8.2.1 North America
                               5.8.2.1.1 Personal Information Protection and Electronic Documents Act (PIPEDA)
                               5.8.2.1.2 California Consumer Privacy Act (CCPA)
                               5.8.2.1.3 Gramm-Leach-Bliley (GLB) Act
                    5.8.2.2 Europe
                               5.8.2.2.1 General Data Protection Regulation
                               5.8.2.2.2 Network and Information Systems Directive (NIS Directive) - European Union
                               5.8.2.2.3 Directive on Privacy and Electronic Communications (ePrivacy Directive)
                    5.8.2.3 Asia Pacific
                               5.8.2.3.1 Personal Data Protection Act
                               5.8.2.3.2 Act on the Protection of Personal Information
                               5.8.2.3.3 Critical Information Infrastructure
                               5.8.2.3.4 International Organization for Standardization 27001
                    5.8.2.4 Middle East & Africa
                               5.8.2.4.1 Protection of Personal Information Act (POPIA) - South Africa
                               5.8.2.4.2 Dubai Data Law - United Arab Emirates (UAE)
                               5.8.2.4.3 Nigerian Data Protection Regulation (NDPR)
                    5.8.2.5 Latin America
                               5.8.2.5.1 Brazil Data Protection Law
                               5.8.2.5.2 Argentina Personal Data Protection Law No. 25.326
                               5.8.2.5.3 Colombian Data Protection Laws
    5.9 PATENT ANALYSIS 
           5.9.1 METHODOLOGY
           5.9.2 PATENTS FILED, BY DOCUMENT TYPE
           5.9.3 INNOVATIONS AND PATENT APPLICATIONS
    5.1 KEY CONFERENCES AND EVENTS, 2024–2025 
    5.11 PORTER’S FIVE FORCES ANALYSIS 
           5.11.1 THREAT OF NEW ENTRANTS
           5.11.2 THREAT OF SUBSTITUTES
           5.11.3 BARGAINING POWER OF SUPPLIERS
           5.11.4 BARGAINING POWER OF BUYERS
           5.11.5 INTENSITY OF COMPETITIVE RIVALRY
    5.12 PRICING ANALYSIS 
           5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TOP 3 APPLICATIONS
           5.12.2 INDICATIVE PRICING ANALYSIS, BY OFFERING
    5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 
    5.14 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
           5.14.2 BUYING CRITERIA
    5.15 INVESTMENT AND FUNDING SCENARIO 
    5.16 IMPACT OF GENERATIVE AI ON STREAMING ANALYTICS MARKET 
           5.16.1 TOP USE CASES AND MARKET POTENTIAL
                    5.16.1.1 Key use cases
           5.16.2 FRAUD DETECTION
           5.16.3 PREDICTIVE ASSET MANAGEMENT
           5.16.4 SUPPLY CHAIN MANAGEMENT
           5.16.5 SALES PERFORMANCE TRACKING
           5.16.6 LOCATION INTELLIGENCE
           5.16.7 SOCIAL MEDIA MONITORING
 
6 STREAMING ANALYTICS MARKET, BY OFFERING (Page No. - 101)
    6.1 INTRODUCTION 
           6.1.1 OFFERING: MARKET DRIVERS
    6.2 SOFTWARE 
           6.2.1 REVOLUTIONIZING REAL-TIME DECISION-MAKING WITH STREAMING ANALYTICS SOFTWARE
           6.2.2 BY SOFTWARE TECHNOLOGY
                    6.2.2.1 Real-time data processing
                    6.2.2.2 Complex event processing
                    6.2.2.3 Data visualization & reporting
                    6.2.2.4 Event stream processing
                    6.2.2.5 Other software technologies
           6.2.3 BY SOFTWARE DEPLOYMENT MODE
                    6.2.3.1 Cloud
                               6.2.3.1.1 Public
                               6.2.3.1.2 Private
                               6.2.3.1.3 Hybrid
                    6.2.3.2 On-premises
    6.3 SERVICES 
           6.3.1 OPTIMIZING REAL-TIME DATA CAPABILITIES WITH STREAMING ANALYTICS SERVICES
           6.3.2 PROFESSIONAL SERVICES
                    6.3.2.1 Consulting services
                    6.3.2.2 Deployment & integration services
                    6.3.2.3 Support & maintenance services
           6.3.3 MANAGED SERVICES
 
7 STREAMING ANALYTICS MARKET, BY APPLICATION (Page No. - 126)
    7.1 INTRODUCTION 
           7.1.1 APPLICATION: MARKET DRIVERS
    7.2 FRAUD DETECTION 
           7.2.1 UTILIZING REAL-TIME STREAMING ANALYTICS FOR EFFECTIVE FRAUD DETECTION
    7.3 SALES PERFORMANCE TRACKING 
           7.3.1 LEVERAGING REAL-TIME STREAMING ANALYTICS FOR ENHANCED SALES PERFORMANCE MANAGEMENT
    7.4 PREDICTIVE ASSET MANAGEMENT 
           7.4.1 ENHANCING ASSET RELIABILITY THROUGH STREAMING ANALYTICS PREDICTIVE INSIGHTS
    7.5 RISK MANAGEMENT 
           7.5.1 RISK MANAGEMENT WITH STREAMING ANALYTICS ENHANCES DECISION-MAKING
    7.6 NETWORK MANAGEMENT & OPTIMIZATION 
           7.6.1 ENHANCING NETWORK PERFORMANCE WITH REAL-TIME ANALYTICS
    7.7 LOCATION INTELLIGENCE 
           7.7.1 LEVERAGING GEOSPATIAL DATA FOR STRATEGIC DECISION-MAKING
    7.8 SUPPLY CHAIN MANAGEMENT 
           7.8.1 OPTIMIZING SUPPLY CHAINS WITH REAL-TIME MONITORING
    7.9 CUSTOMER ACTIVITY MONITORING 
           7.9.1 BOOSTING CUSTOMER ENGAGEMENT AND INSIGHTS WITH STREAMING ANALYTICS
    7.1 PRODUCT INNOVATION 
           7.10.1 UTILIZING DATA FOR FASTER PRODUCT DEVELOPMENT
    7.11 SOCIAL MEDIA MONITORING 
           7.11.1 ENHANCING BRAND ENGAGEMENT WITH REAL-TIME SOCIAL INSIGHTS
    7.12 REAL-TIME THREAT INTELLIGENCE 
           7.12.1 BOOSTING CYBERSECURITY WITH CONTINUOUS THREAT DETECTION USING STREAMING ANALYTICS
    7.13 OTHER APPLICATIONS 
 
8 STREAMING ANALYTICS MARKET, BY PROCESSING TYPE (Page No. - 142)
    8.1 INTRODUCTION 
           8.1.1 PROCESSING TYPE: MARKET DRIVERS
    8.2 BATCH PROCESSING 
           8.2.1 BATCH PROCESSING ENHANCES SCALABILITY AND EFFICIENCY IN STREAMING ANALYTICS
    8.3 REAL-TIME STREAMING 
           8.3.1 REAL-TIME STREAMING ANALYTICS ENABLES IMMEDIATE DATA INSIGHTS AND DECISION-MAKING ACROSS INDUSTRIES
 
9 STREAMING ANALYTICS MARKET, BY DATA TYPE (Page No. - 147)
    9.1 INTRODUCTION 
           9.1.1 DATA TYPE: MARKET DRIVERS
    9.2 STRUCTURED 
           9.2.1 OPTIMIZING REAL-TIME PROCESSING WITH STRUCTURED DATA IN STREAMING ANALYTICS
    9.3 UNSTRUCTURED 
           9.3.1 REAL-TIME ANALYSIS OF UNSTRUCTURED DATA DRIVES INNOVATION IN STREAMING ANALYTICS
 
10 STREAMING ANALYTICS MARKET, BY VERTICAL (Page No. - 152)
     10.1 INTRODUCTION 
             10.1.1 VERTICAL: MARKET DRIVERS
     10.2 BFSI 
             10.2.1 LEVERAGING STREAMING ANALYTICS FOR REAL-TIME DECISION-MAKING AND FRAUD PREVENTION
             10.2.2 MONEY LAUNDERING DETECTION
             10.2.3 PAYMENT FRAUD DETECTION
             10.2.4 STOCK MARKET SURVEILLANCE
             10.2.5 REAL-TIME CREDIT SCORING
             10.2.6 TRADE MONITORING
             10.2.7 OTHER BFSI USE CASES
     10.3 RETAIL & E-COMMERCE 
             10.3.1 OPTIMIZING REAL-TIME RETAIL STRATEGIES WITH STREAMING ANALYTICS
             10.3.2 PERSONALIZED PRODUCT RECOMMENDATIONS
             10.3.3 CUSTOMER SEGMENTATION
             10.3.4 TREND PREDICTION
             10.3.5 CUSTOMER 360 & OMNI-CHANNEL EXPERIENCE
             10.3.6 RETAIL INVENTORY MANAGEMENT
             10.3.7 OTHER RETAIL & E-COMMERCE USE CASES
     10.4 HEALTHCARE & LIFE SCIENCES 
             10.4.1 REAL-TIME DATA REVOLUTIONIZING HEALTHCARE AND LIFE SCIENCES THROUGH STREAMING ANALYTICS
             10.4.2 REAL-TIME ICU MONITORING
             10.4.3 PREVENTIVE CARE
             10.4.4 DIABETES MANAGEMENT
             10.4.5 PATIENTS & CLINICAL INFORMATICS
             10.4.6 CLINICAL DECISION SUPPORT SYSTEMS
             10.4.7 OTHER HEALTHCARE & LIFE SCIENCES USE CASES
     10.5 MEDIA & ENTERTAINMENT 
             10.5.1 STREAMING ANALYTICS DRIVE AUDIENCE ENGAGEMENT AND OPTIMIZE MONETIZATION IN MEDIA AND ENTERTAINMENT
             10.5.2 PERSONALIZED CONTENT RECOMMENDATIONS
             10.5.3 VIEWER INSIGHTS & OPTIMIZATION
             10.5.4 ADVERTISING & TARGETED MARKETING STRATEGIES
             10.5.5 CAMPAIGN OPTIMIZATION
             10.5.6 CONTENT CREATION
             10.5.7 OTHER MEDIA & ENTERTAINMENT USE CASES
     10.6 TELECOMMUNICATIONS 
             10.6.1 ENHANCING TELECOM OPERATIONS AND CUSTOMER EXPERIENCE WITH REAL-TIME STREAMING ANALYTICS
             10.6.2 REAL-TIME NETWORK MONITORING
             10.6.3 AUTOMATED DIAGNOSTICS & OPTIMIZATION
             10.6.4 AUTOMATED NETWORK ANALYSIS
             10.6.5 NETWORK PLANNING
             10.6.6 OTHER TELECOMMUNICATION USE CASES
     10.7 GOVERNMENT & PUBLIC SECTOR 
             10.7.1 GROWING IMPORTANCE OF STREAMING ANALYTICS IN GOVERNMENT & PUBLIC SECTOR FOR REAL-TIME DECISION-MAKING
             10.7.2 LAW ENFORCEMENT & PUBLIC SAFETY
             10.7.3 REAL-TIME SURVEILLANCE & SECURITY
             10.7.4 REAL-TIME INTELLIGENCE ANALYSIS
             10.7.5 EMERGENCY RESPONSE OPTIMIZATION
             10.7.6 OTHER GOVERNMENT & PUBLIC SECTOR USE CASES
     10.8 MANUFACTURING 
             10.8.1 OPTIMIZING MANUFACTURING EFFICIENCY THROUGH REAL-TIME STREAMING ANALYTICS
             10.8.2 PRODUCTION PLANNING & SCHEDULING
             10.8.3 FAULT PREDICTION & PREDICTIVE MAINTENANCE
             10.8.4 OPTIMIZING PRODUCT QUALITY
             10.8.5 MONITORING PRODUCT LINES
             10.8.6 DEMAND FORECASTING & INVENTORY MANAGEMENT
             10.8.7 OTHER MANUFACTURING USE CASES
     10.9 ENERGY & UTILITIES 
             10.9.1 OPTIMIZING ENERGY PRODUCTION AND DISTRIBUTION WITH REAL-TIME DATA INSIGHTS
             10.9.2 REAL-TIME GRID MONITORING & MANAGEMENT
             10.9.3 ENERGY OPTIMIZATION
             10.9.4 ENERGY TRADING
             10.9.5 GRID & ASSET PERFORMANCE OPTIMIZATION
             10.9.6 OTHER ENERGY & UTILITIES USE CASES
     10.1 TRANSPORTATION & LOGISTICS 
               10.10.1 OPTIMIZING OPERATIONS AND ENHANCING EFFICIENCY WITH REAL-TIME STREAMING ANALYTICS
               10.10.2 REAL-TIME VEHICLE TRACKING
               10.10.3 ROUTE OPTIMIZATION & FUEL EFFICIENCY
               10.10.4 FLEET MANAGEMENT
               10.10.5 DRIVER PERFORMANCE MONITORING
               10.10.6 OTHER TRANSPORTATION & LOGISTICS USE CASES
     10.11 OTHER VERTICALS 
 
11 STREAMING ANALYTICS MARKET, BY REGION (Page No. - 180)
     11.1 INTRODUCTION 
     11.2 NORTH AMERICA 
             11.2.1 NORTH AMERICA: MARKET DRIVERS
             11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
             11.2.3 US
                       11.2.3.1 Rising need to shift toward more sophisticated and scalable streaming analytics solutions to boost market growth
             11.2.4 CANADA
                       11.2.4.1 Rising need to enhance customer experience and optimize supply chain to drive market
     11.3 EUROPE 
             11.3.1 EUROPE: STREAMING ANALYTICS MARKET DRIVERS
             11.3.2 EUROPE: MACROECONOMIC OUTLOOK
             11.3.3 UK
                       11.3.3.1 Growing need to extract insights from customer behavior and emerging trends to drive market
             11.3.4 GERMANY
                       11.3.4.1 Rising need to handle growing volume of data to propel market
             11.3.5 FRANCE
                       11.3.5.1 Rising demand for insight from continuous streams of data to boost market
             11.3.6 ITALY
                       11.3.6.1 Rising demand for real-time insights and strategic cloud migrations to propel market
             11.3.7 SPAIN
                       11.3.7.1 Rising need to enhance decision-making with real-time insight to boost market growth
             11.3.8 REST OF EUROPE
     11.4 ASIA PACIFIC 
             11.4.1 ASIA PACIFIC: STREAMING ANALYTICS MARKET DRIVERS
             11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
             11.4.3 CHINA
                       11.4.3.1 Rising investments by businesses in technologies to swiftly process data streams to boost market
             11.4.4 JAPAN
                       11.4.4.1 Growing emphasis on technological innovation and robust IT infrastructure to propel market
             11.4.5 INDIA
                       11.4.5.1 Increasing proliferation of IoT devices and rise of big data to boost market
             11.4.6 SOUTH KOREA
                       11.4.6.1 Rising government investments and initiatives in smart city projects to propel market
             11.4.7 ANZ
                       11.4.7.1 Rising demand for real-time data processing to drive market
             11.4.8 SINGAPORE
                       11.4.8.1 Real-time data demand from various industries to drive market
             11.4.9 REST OF ASIA PACIFIC
     11.5 MIDDLE EAST & AFRICA 
             11.5.1 MIDDLE EAST & AFRICA: STREAMING ANALYTICS MARKET DRIVERS
             11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
             11.5.3 MIDDLE EAST
                       11.5.3.1 UAE
                                   11.5.3.1.1 Commitment to technological innovation and digital transformation to fuel market growth
                       11.5.3.2 SAUDI ARABIA
                                   11.5.3.2.1 Growing focus to gain actionable insights and enhance operational efficiency to drive market
                       11.5.3.3 QATAR
                                   11.5.3.3.1 Growing demand for real-time data processing to provide valuable insights to drive market
                       11.5.3.4 TURKEY
                                   11.5.3.4.1 Growing government support for digital infrastructure to propel market
                       11.5.3.5 REST OF MIDDLE EAST
             11.5.4 AFRICA
     11.6 LATIN AMERICA 
             11.6.1 LATIN AMERICA: STREAMING ANALYTICS MARKET DRIVERS
             11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
             11.6.3 BRAZIL
                       11.6.3.1 Rising need for real-time monitoring and data visualization to boost market
             11.6.4 MEXICO
                       11.6.4.1 Need for real-time insights and operational efficiency to drive market
             11.6.5 ARGENTINA
                       11.6.5.1 Growing adoption of cloud-based solutions and advancements in data processing technologies to boost market
             11.6.6 REST OF LATIN AMERICA
 
12 COMPETITIVE LANDSCAPE (Page No. - 245)
     12.1 OVERVIEW 
     12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2023 
     12.3 REVENUE ANALYSIS 
     12.4 MARKET SHARE ANALYSIS 
             12.4.1 MARKET RANKING ANALYSIS
     12.5 BRAND/PRODUCT COMPARISON 
             12.5.1 AMAZON KINESIS STREAMS (AWS)
             12.5.2 GOOGLE CLOUD DATAFLOW (GOOGLE)
             12.5.3 AZURE STREAM ANALYTICS (MICROSOFT)
             12.5.4 RAPIDMINER (ALTAIR)
             12.5.5 SPOTFIRE STREAMING ANALYTICS (TIBCO)
     12.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 
             12.6.1 STARS
             12.6.2 EMERGING LEADERS
             12.6.3 PERVASIVE PLAYERS
             12.6.4 PARTICIPANTS
             12.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
                       12.6.5.1 Company footprint
                       12.6.5.2 Region footprint
                       12.6.5.3 Offering footprint
                       12.6.5.4 Application footprint
                       12.6.5.5 Vertical footprint
     12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 
             12.7.1 PROGRESSIVE COMPANIES
             12.7.2 RESPONSIVE COMPANIES
             12.7.3 DYNAMIC COMPANIES
             12.7.4 STARTING BLOCKS
             12.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
                       12.7.5.1 Detailed list of key startups/SMEs
                       12.7.5.2 Competitive benchmarking of key startups/SMEs
     12.8 COMPETITIVE SCENARIO AND TRENDS 
             12.8.1 PRODUCT LAUNCHES & ENHANCEMENTS
             12.8.2 DEALS
     12.9 COMPANY VALUATION AND FINANCIAL METRICS 
             12.9.1 STREAMING ANALYTICS MARKET: COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
             12.9.2 MARKET: YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
 
13 COMPANY PROFILES (Page No. - 271)
     13.1 INTRODUCTION 
     13.2 KEY PLAYERS 
             13.2.1 IBM
                       13.2.1.1 Business overview
                       13.2.1.2 Products/Solutions/Services offered
                       13.2.1.3 Recent developments
                       13.2.1.4 MnM view
                                   13.2.1.4.1 Key strengths
                                   13.2.1.4.2 Strategic choices
                                   13.2.1.4.3 Weaknesses and competitive threats
             13.2.2 GOOGLE
                       13.2.2.1 Business overview
                       13.2.2.2 Products/Solutions/Services offered
                       13.2.2.3 Recent developments
                       13.2.2.4 MnM view
                                   13.2.2.4.1 Key strengths
                                   13.2.2.4.2 Strategic choices
                                   13.2.2.4.3 Weaknesses and competitive threats
             13.2.3 ORACLE
                       13.2.3.1 Business overview
                       13.2.3.2 Products/Solutions/Services offered
                       13.2.3.3 Recent developments
                       13.2.3.4 MnM view
                                   13.2.3.4.1 Key strengths
                                   13.2.3.4.2 Strategic choices
                                   13.2.3.4.3 Weaknesses and competitive threats
             13.2.4 MICROSOFT
                       13.2.4.1 Business overview
                       13.2.4.2 Products/Solutions/Services offered
                       13.2.4.3 Recent developments
                       13.2.4.4 MnM view
                                   13.2.4.4.1 Key strengths
                                   13.2.4.4.2 Strategic choices
                                   13.2.4.4.3 Weaknesses and competitive threats
             13.2.5 SAP
                       13.2.5.1 Business overview
                       13.2.5.2 Products/Solutions/Services offered
                       13.2.5.3 Recent developments
                       13.2.5.4 MnM view
                                   13.2.5.4.1 Key strengths
                                   13.2.5.4.2 Strategic choices
                                   13.2.5.4.3 Weaknesses and competitive threats
             13.2.6 SAS INSTITUTE
                       13.2.6.1 Business overview
                       13.2.6.2 Products/Solutions/Services offered
                       13.2.6.3 Recent developments
             13.2.7 AWS
                       13.2.7.1 Business overview
                       13.2.7.2 Products/Solutions/Services offered
                       13.2.7.3 Recent developments
             13.2.8 TIBCO
                       13.2.8.1 Business overview
                       13.2.8.2 Products/Solutions/Services offered
                       13.2.8.3 Recent developments
             13.2.9 SOFTWARE AG
                       13.2.9.1 Business overview
                       13.2.9.2 Products/Solutions/Services offered
                       13.2.9.3 Recent developments
               13.2.10 INFORMATICA
            13.2.10.1 Business overview
            13.2.10.2 Products/Solutions/Services offered
            13.2.10.3 Recent developments
               13.2.11 INTEL
               13.2.12 CLOUDERA
               13.2.13 HPE
               13.2.14 TERADATA
               13.2.15 ADOBE
               13.2.16 ALTAIR
               13.2.17 MPHASIS
               13.2.18 KX
               13.2.19 CONFLUENT
               13.2.20 DATABRICKS
               13.2.21 FIVETRAN
     13.3 SMES/STARTUPS 
             13.3.1 DATASTAX
             13.3.2 SOLACE
             13.3.3 CONVIVA
             13.3.4 STRIIM
             13.3.5 INETCO
             13.3.6 WSO2
             13.3.7 IGUAZIO
             13.3.8 MATERIALIZE
             13.3.9 STARTREE
               13.3.10 CROSSER
               13.3.11 QUIX
               13.3.12 LENSES.IO
               13.3.13 BANGDB
               13.3.14 IMPLY
               13.3.15 CORALOGIX
               13.3.16 VERVERICA
               13.3.17 ESTUARY
               13.3.18 HAZELCAST
               13.3.19 GRIDGAIN SYSTEMS
 
14 ADJACENT AND RELATED MARKETS (Page No. - 334)
     14.1 INTRODUCTION 
     14.2 BIG DATA MARKET 
             14.2.1 MARKET DEFINITION
             14.2.2 MARKET OVERVIEW
                       14.2.2.1 Big data market, by offering
                       14.2.2.2 Big data market, by business function
                       14.2.2.3 Big data market, by data type
                       14.2.2.4 Big data market, by vertical
                       14.2.2.5 Big data market, by region
     14.3 VIDEO STREAMING SOFTWARE MARKET 
             14.3.1 MARKET DEFINITION
             14.3.2 MARKET OVERVIEW
                       14.3.2.1 Video streaming software market, by offering
                       14.3.2.2 Video streaming software market, by streaming type
                       14.3.2.3 Video streaming software market, by deployment mode
                       14.3.2.4 Video streaming software market, by delivery channel
                       14.3.2.5 Video streaming software market, by monetization model
                       14.3.2.6 Video streaming software market, by connected device
                       14.3.2.7 Video streaming software market, by vertical
                       14.3.2.8 Video streaming software market, by region
 
15 APPENDIX (Page No. - 350)
     15.1 DISCUSSION GUIDE 
     15.2 CUSTOMIZATION OPTIONS 
     15.3 RELATED REPORTS 
     15.4 AUTHOR DETAILS 
 
 
LIST OF TABLES (365 Tables)
 
TABLE 1 USD EXCHANGE RATE, 2020–2023
TABLE 2 PRIMARY INTERVIEWS
TABLE 3 FACTOR ANALYSIS
TABLE 4 STREAMING ANALYTICS MARKET AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y%)
TABLE 5 MARKET AND GROWTH RATE, 2024–2029 (USD MILLION, Y-O-Y%)
TABLE 6 MARKET: ECOSYSTEM
TABLE 7 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 8 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 9 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 10 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 11 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 12 PATENTS FILED, BY DOCUMENT TYPE, 2015–2024
TABLE 13 TOP 20 PATENT OWNERS IN STREAMING ANALYTICS MARKET, 2015–2024
TABLE 14 MARKET: LIST OF PATENTS GRANTED, 2023–2024
TABLE 15 MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2024–2025
TABLE 16 MARKET: IMPACT OF PORTER’S FIVE FORCES
TABLE 17 AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 APPLICATIONS
TABLE 18 INDICATIVE PRICING OF STREAMING ANALYTICS, BY OFFERING
TABLE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS
TABLE 20 KEY BUYING CRITERIA FOR TOP 3 VERTICALS
TABLE 21 STREAMING ANALYTICS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 22 MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 23 STREAMING ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 24 STREAMING ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 25 MARKET, BY SOFTWARE TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 26 MARKET, BY SOFTWARE TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 27 REAL-TIME DATA PROCESSING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 28 REAL-TIME DATA PROCESSING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 29 COMPLEX EVENT PROCESSING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 30 COMPLEX EVENT PROCESSING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 31 DATA VISUALIZATION & REPORTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 32 DATA VISUALIZATION & REPORTING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 33 EVENT STREAM PROCESSING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 34 EVENT STREAM PROCESSING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 35 OTHER SOFTWARE TECHNOLOGIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 36 OTHER SOFTWARE TECHNOLOGIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 37 MARKET, BY SOFTWARE DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 38 STREAMING ANALYTICS MARKET, BY SOFTWARE DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 39 CLOUD: MARKET, BY SOFTWARE DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 40 CLOUD: MARKET, BY SOFTWARE DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 41 CLOUD: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 42 CLOUD: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 43 PUBLIC: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 44 PUBLIC: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 45 PRIVATE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 46 PRIVATE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 47 HYBRID: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 48 HYBRID: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 49 ON-PREMISES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 50 ON-PREMISES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 51 STREAMING ANALYTICS SERVICES MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 52 STREAMING ANALYTICS SERVICES MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 53 STREAMING ANALYTICS SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 54 STREAMING ANALYTICS SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 55 MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 56 MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 57 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 58 PROFESSIONAL SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 59 CONSULTING SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 60 CONSULTING SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 61 DEPLOYMENT & INTEGRATION SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 62 DEPLOYMENT & INTEGRATION SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 63 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 64 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 65 MANAGED SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 66 MANAGED SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 67 MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 68 STREAMING ANALYTICS MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 69 FRAUD DETECTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 70 FRAUD DETECTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 71 SALES PERFORMANCE TRACKING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 72 SALES PERFORMANCE TRACKING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 73 PREDICTIVE ASSET MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 74 PREDICTIVE ASSET MANAGEMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 75 RISK MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 76 RISK MANAGEMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 77 NETWORK MANAGEMENT & OPTIMIZATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 78 NETWORK MANAGEMENT & OPTIMIZATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 79 LOCATION INTELLIGENCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 80 LOCATION INTELLIGENCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 81 SUPPLY CHAIN MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 82 SUPPLY CHAIN MANAGEMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 83 CUSTOMER ACTIVITY MONITORING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 84 CUSTOMER ACTIVITY MONITORING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 85 PRODUCT INNOVATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 86 PRODUCT INNOVATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 87 SOCIAL MEDIA MONITORING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 88 SOCIAL MEDIA MONITORING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 89 REAL-TIME THREAT INTELLIGENCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 90 REAL-TIME THREAT INTELLIGENCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 91 OTHER APPLICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 92 OTHER APPLICATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 93 STREAMING ANALYTICS MARKET, BY PROCESSING TYPE, 2019–2023 (USD MILLION)
TABLE 94 MARKET, BY PROCESSING TYPE, 2024–2029 (USD MILLION)
TABLE 95 BATCH PROCESSING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 96 BATCH PROCESSING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 97 REAL-TIME STREAMING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 98 REAL-TIME STREAMING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 99 MARKET, BY DATA TYPE, 2019–2023 (USD MILLION)
TABLE 100 MARKET, BY DATA TYPE, 2024–2029 (USD MILLION)
TABLE 101 STRUCTURED: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 102 STRUCTURED: MARKET, BY REGION, 2024–2029(USD MILLION)
TABLE 103 UNSTRUCTURED: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 104 UNSTRUCTURED: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 105 MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 106 MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 107 BFSI: STREAMING ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 108 BFSI: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 109 RETAIL & E-COMMERCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 110 RETAIL & E-COMMERCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 111 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 112 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 113 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 114 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 115 TELECOMMUNICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 116 TELECOMMUNICATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 117 GOVERNMENT & PUBLIC SECTOR: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 118 GOVERNMENT & PUBLIC SECTOR: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 119 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 120 MANUFACTURING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 121 ENERGY & UTILITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 122 ENERGY & UTILITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 123 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 124 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 125 OTHER VERTICALS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 126 OTHER VERTICALS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 127 MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 128 MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 129 NORTH AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 130 NORTH STREAMING ANALYTICS AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 131 NORTH AMERICA: MARKET, BY SOFTWARE TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 132 NORTH AMERICA: MARKET, BY SOFTWARE TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 133 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 134 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 135 NORTH AMERICA: MARKET, BY CLOUD, 2019–2023 (USD MILLION)
TABLE 136 NORTH AMERICA: MARKET, BY CLOUD, 2024–2029 (USD MILLION)
TABLE 137 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 138 NORTH AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 139 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 140 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 141 NORTH AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 142 NORTH AMERICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 143 NORTH AMERICA: MARKET, BY PROCESSING TYPE, 2019–2023 (USD MILLION)
TABLE 144 NORTH AMERICA: MARKET, BY PROCESSING TYPE, 2024–2029 (USD MILLION)
TABLE 145 NORTH AMERICA: MARKET, BY DATA TYPE, 2019–2023 (USD MILLION)
TABLE 146 NORTH AMERICA: MARKET, BY DATA TYPE, 2024–2029 (USD MILLION)
TABLE 147 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 148 NORTH AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 149 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 150 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 151 US: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 152 US: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 153 CANADA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 154 CANADA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 155 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 156 EUROPE: STREAMING ANALYTICS MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 157 EUROPE: MARKET, BY SOFTWARE TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 158 EUROPE: MARKET, BY SOFTWARE TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 159 EUROPE: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 160 EUROPE: MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 161 EUROPE: MARKET, BY CLOUD, 2019–2023 (USD MILLION)
TABLE 162 EUROPE: MARKET, BY CLOUD, 2024–2029 (USD MILLION)
TABLE 163 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 164 EUROPE: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 165 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 166 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 167 EUROPE: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 168 EUROPE: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 169 EUROPE: MARKET, BY PROCESSING TYPE, 2019–2023 (USD MILLION)
TABLE 170 EUROPE: MARKET, BY PROCESSING TYPE, 2024–2029 (USD MILLION)
TABLE 171 EUROPE: MARKET, BY DATA TYPE, 2019–2023 (USD MILLION)
TABLE 172 EUROPE: MARKET, BY DATA TYPE, 2024–2029 (USD MILLION)
TABLE 173 EUROPE: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 174 EUROPE: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 175 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 176 EUROPE: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 177 UK: STREAMING ANALYTICS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 178 UK: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 179 GERMANY: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 180 GERMANY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 181 FRANCE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 182 FRANCE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 183 ITALY: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 184 ITALY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 185 SPAIN: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 186 SPAIN: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 187 REST OF EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 188 REST OF EUROPE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 189 ASIA PACIFIC: STREAMING ANALYTICS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 190 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 191 ASIA PACIFIC: MARKET, BY SOFTWARE TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 192 ASIA PACIFIC: MARKET, BY SOFTWARE TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 193 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 194 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 195 ASIA PACIFIC: MARKET, BY CLOUD DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 196 ASIA PACIFIC: MARKET, BY CLOUD E, 2024–2029 (USD MILLION)
TABLE 197 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 198 ASIA PACIFIC: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 199 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 200 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 201 ASIA PACIFIC: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 202 ASIA PACIFIC: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 203 ASIA PACIFIC: MARKET, BY PROCESSING TYPE, 2019–2023 (USD MILLION)
TABLE 204 ASIA PACIFIC: MARKET, BY PROCESSING TYPE, 2024–2029 (USD MILLION)
TABLE 205 ASIA PACIFIC: MARKET, BY DATA TYPE, 2019–2023 (USD MILLION)
TABLE 206 ASIA PACIFIC: MARKET, BY DATA TYPE, 2024–2029 (USD MILLION)
TABLE 207 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 208 ASIA PACIFIC: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 209 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 210 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 211 CHINA: STREAMING ANALYTICS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 212 CHINA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 213 JAPAN: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 214 JAPAN: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 215 INDIA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 216 INDIA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 217 SOUTH KOREA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 218 SOUTH KOREA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 219 ANZ: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 220 ANZ: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 221 SINGAPORE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 222 SINGAPORE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 223 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 224 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 225 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 226 MIDDLE EAST & AFRICA: STREAMING ANALYTICS MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 227 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 228 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 229 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 230 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 231 MIDDLE EAST & AFRICA: MARKET, BY CLOUD, 2019–2023 (USD MILLION)
TABLE 232 MIDDLE EAST & AFRICA: MARKET, BY CLOUD, 2024–2029 (USD MILLION)
TABLE 233 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 234 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 235 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 236 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 237 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 238 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 239 MIDDLE EAST & AFRICA: MARKET, BY PROCESSING TYPE, 2019–2023 (USD MILLION)
TABLE 240 MIDDLE EAST & AFRICA: MARKET, BY PROCESSING TYPE, 2024–2029 (USD MILLION)
TABLE 241 MIDDLE EAST & AFRICA: MARKET, BY DATA TYPE, 2019–2023 (USD MILLION)
TABLE 242 MIDDLE EAST & AFRICA: MARKET, BY DATA TYPE, 2024–2029 (USD MILLION)
TABLE 243 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 244 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 245 MIDDLE EAST & AFRICA: MARKET, BY SUB-REGION, 2019–2023 (USD MILLION)
TABLE 246 MIDDLE EAST & AFRICA: MARKET, BY SUB-REGION, 2024–2029 (USD MILLION)
TABLE 247 MIDDLE EAST: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 248 MIDDLE EAST: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 249 UAE: STREAMING ANALYTICS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 250 UAE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 251 SAUDI ARABIA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 252 SAUDI ARABIA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 253 QATAR: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 254 QATAR: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 255 TURKEY: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 256 TURKEY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 257 REST OF MIDDLE EAST: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 258 REST OF MIDDLE EAST: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 259 AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 260 AFRICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 261 LATIN AMERICA: STREAMING ANALYTICS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 262 LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 263 LATIN AMERICA: MARKET, BY SOFTWARE TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 264 LATIN AMERICA: MARKET, BY SOFTWARE TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 265 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 266 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 267 LATIN AMERICA: MARKET, BY CLOUD, 2019–2023 (USD MILLION)
TABLE 268 LATIN AMERICA: MARKET, BY CLOUD, 2024–2029 (USD MILLION)
TABLE 269 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 270 LATIN AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 271 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 272 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 273 LATIN AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 274 LATIN AMERICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 275 LATIN AMERICA: MARKET, BY PROCESSING TYPE, 2019–2023 (USD MILLION)
TABLE 276 LATIN AMERICA: MARKET, BY PROCESSING TYPE, 2024–2029 (USD MILLION)
TABLE 277 LATIN AMERICA: MARKET, BY DATA TYPE, 2019–2023 (USD MILLION)
TABLE 278 LATIN AMERICA: MARKET, BY DATA TYPE, 2024–2029 (USD MILLION)
TABLE 279 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 280 LATIN AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 281 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 282 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 283 BRAZIL: STREAMING ANALYTICS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 284 BRAZIL: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 285 MEXICO: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 286 MEXICO: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 287 ARGENTINA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 288 ARGENTINA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 289 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 290 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 291 OVERVIEW OF STRATEGIES ADOPTED BY KEY STREAMING ANALYTICS VENDORS
TABLE 292 MARKET: DEGREE OF COMPETITION
TABLE 293 MARKET: REGION FOOTPRINT
TABLE 294 MARKET: OFFERING FOOTPRINT
TABLE 295 MARKET: APPLICATION FOOTPRINT
TABLE 296 MARKET: VERTICAL FOOTPRINT
TABLE 297 MARKET: DETAILED LIST OF KEY STARTUP/SMES
TABLE 298 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
TABLE 299 MARKET: PRODUCT LAUNCHES & ENHANCEMENT, JANUARY 2021–JULY 2024
TABLE 300 STREAMING ANALYTICS MARKET: DEALS, JANUARY 2021–JULY 2024
TABLE 301 IBM: COMPANY OVERVIEW
TABLE 302 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 303 IBM: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 304 IBM: DEALS
TABLE 305 GOOGLE: COMPANY OVERVIEW
TABLE 306 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 307 GOOGLE: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 308 GOOGLE: DEALS
TABLE 309 ORACLE: COMPANY OVERVIEW
TABLE 310 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 311 ORACLE: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 312 ORACLE: DEALS
TABLE 313 MICROSOFT: COMPANY OVERVIEW
TABLE 314 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 315 MICROSOFT: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 316 MICROSOFT: DEALS
TABLE 317 SAP: COMPANY OVERVIEW
TABLE 318 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 319 SAP: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 320 SAP: DEALS
TABLE 321 SAS INSTITUTE: COMPANY OVERVIEW
TABLE 322 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 323 SAS INSTITUTE: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 324 SAS INSTITUTE: DEALS
TABLE 325 AWS: COMPANY OVERVIEW
TABLE 326 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 327 AWS: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 328 AWS: DEALS
TABLE 329 TIBCO: COMPANY OVERVIEW
TABLE 330 TIBCO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 331 TIBCO: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 332 TIBCO: DEALS
TABLE 333 SOFTWARE AG: COMPANY OVERVIEW
TABLE 334 SOFTWARE AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 335 SOFTWARE AG: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 336 INFORMATICA: COMPANY OVERVIEW
TABLE 337 INFORMATICA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 338 INFORMATICA: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 339 INFORMATICA: DEALS
TABLE 340 BIG DATA MARKET, BY OFFERING, 2018–2022 (USD MILLION)
TABLE 341 BIG DATA MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 342 BIG DATA MARKET, BY BUSINESS FUNCTION, 2018–2022 (USD MILLION)
TABLE 343 BIG DATA MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
TABLE 344 BIG DATA MARKET, BY DATA TYPE, 2018–2022 (USD MILLION)
TABLE 345 BIG DATA MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
TABLE 346 BIG DATA MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
TABLE 347 BIG DATA MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 348 BIG DATA MARKET, BY REGION, 2018–2022 (USD MILLION)
TABLE 349 BIG DATA MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 350 VIDEO STREAMING SOFTWARE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 351 VIDEO STREAMING SOFTWARE MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 352 VIDEO STREAMING SOFTWARE MARKET, BY STREAMING TYPE, 2019–2023 (USD MILLION)
TABLE 353 VIDEO STREAMING SOFTWARE MARKET, BY STREAMING TYPE, 2024–2029 (USD MILLION)
TABLE 354 VIDEO STREAMING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 355 VIDEO STREAMING SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 356 VIDEO STREAMING SOFTWARE MARKET, BY DELIVERY CHANNEL, 2019–2023 (USD MILLION)
TABLE 357 VIDEO STREAMING SOFTWARE MARKET, BY DELIVERY CHANNEL, 2024–2029 (USD MILLION)
TABLE 358 VIDEO STREAMING SOFTWARE MARKET, BY MONETIZATION MODEL, 2019–2023 (USD MILLION)
TABLE 359 VIDEO STREAMING SOFTWARE MARKET, BY MONETIZATION MODEL, 2024–2029 (USD MILLION)
TABLE 360 VIDEO STREAMING SOFTWARE MARKET, BY CONNECTED DEVICE, 2019–2023 (USD MILLION)
TABLE 361 VIDEO STREAMING SOFTWARE MARKET, BY CONNECTED DEVICE, 2024–2029 (USD MILLION)
TABLE 362 VIDEO STREAMING SOFTWARE MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 363 VIDEO STREAMING SOFTWARE MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 364 VIDEO STREAMING SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 365 VIDEO STREAMING SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION)
 
  
LIST OF FIGURES (66 Figures) 
 
FIGURE 1 STREAMING ANALYTICS MARKET: RESEARCH DESIGN
FIGURE 2 MARKET: DATA TRIANGULATION
FIGURE 3 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
FIGURE 4 APPROACH 1 (SUPPLY-SIDE): REVENUE FROM VENDORS OF SOFTWARE/SERVICES IN MARKET
FIGURE 5 APPROACH 2 (BOTTOM-UP, SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF MARKET
FIGURE 6 APPROACH 3 (BOTTOM-UP, SUPPLY-SIDE): MARKET ESTIMATION FROM ALL SOFTWARE/SERVICES AND CORRESPONDING SOURCES
FIGURE 7 APPROACH 4 (BOTTOM-UP, DEMAND-SIDE): SHARE OF STREAMING ANALYTICS THROUGH OVERALL STREAMING ANALYTICS SPENDING
FIGURE 8 SOFTWARE SEGMENT TO DOMINATE MARKET IN 2024
FIGURE 9 REAL-TIME DATA PROCESSING SEGMENT TO LEAD MARKET IN 2024
FIGURE 10 CLOUD SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE THAN ON-PREMISES SEGMENT IN 2024
FIGURE 11 PUBLIC SEGMENT TO LEAD MARKET IN 2024
FIGURE 12 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE THAN MANAGED SERVICES SEGMENT IN 2024
FIGURE 13 CONSULTING SERVICES SEGMENT TO LEAD MARKET IN 2024
FIGURE 14 REAL-TIME STREAMING SEGMENT TO DOMINATE MARKET IN 2024
FIGURE 15 UNSTRUCTURED SEGMENT TO DOMINATE MARKET IN 2024
FIGURE 16 FRAUD DETECTION SEGMENT TO LEAD MARKET IN 2024
FIGURE 17 BFSI SEGMENT TO LEAD MARKET IN 2024
FIGURE 18 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
FIGURE 19 RISING DEMAND FOR STATISTICAL COMPUTATION AND ANALYSIS OF MOVING DATA STREAMS TO DRIVE MARKET
FIGURE 20 SALES PERFORMANCE TRACKING SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 21 SOFTWARE AND BFSI SEGMENTS TO ACCOUNT FOR LARGEST MARKET SHARES IN 2024
FIGURE 22 NORTH AMERICA TO DOMINATE MARKET IN 2024
FIGURE 23 MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
FIGURE 24 EVOLUTION OF MARKET
FIGURE 25 KEY PLAYERS IN MARKET ECOSYSTEM
FIGURE 26 MARKET: SUPPLY CHAIN ANALYSIS
FIGURE 27 NUMBER OF PATENTS GRANTED TO VENDORS IN LAST 10 YEARS
FIGURE 28 TOP 10 PATENT APPLICANTS IN MARKET, 2015–2024
FIGURE 29 REGIONAL ANALYSIS OF PATENTS GRANTED, 2015–2024
FIGURE 30 STREAMING ANALYTICS MARKET: PORTER’S FIVE FORCES ANALYSIS
FIGURE 31 AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 APPLICATIONS
FIGURE 32 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
FIGURE 33 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS
FIGURE 34 KEY BUYING CRITERIA FOR TOP 3 VERTICALS
FIGURE 35 MARKET: INVESTMENT AND FUNDING SCENARIO, 2019–2024
FIGURE 36 MARKET POTENTIAL OF GENERATIVE AI IN ENHANCING STREAMING ANALYTICS ACROSS INDUSTRIES
FIGURE 37 SOFTWARE SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
FIGURE 38 REAL-TIME DATA PROCESSING SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
FIGURE 39 CLOUD SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
FIGURE 40 HYBRID SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 41 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE THAN MANAGED SERVICES SEGMENT DURING FORECAST PERIOD
FIGURE 42 SUPPORT AND MAINTENANCE SERVICES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 43 SALES PERFORMANCE TRACKING SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 44 REAL-TIME STREAMING SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
FIGURE 45 UNSTRUCTURED SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
FIGURE 46 BFSI SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
FIGURE 47 NORTH AMERICA TO BE LARGEST MARKET DURING FORECAST PERIOD
FIGURE 48 INDIA TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD
FIGURE 49 NORTH AMERICA: MARKET SNAPSHOT
FIGURE 50 ASIA PACIFIC: MARKET SNAPSHOT
FIGURE 51 TOP 5 PLAYERS DOMINATED MARKET FOR LAST 5 YEARS
FIGURE 52 MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2023
FIGURE 53 PRODUCT COMPARATIVE ANALYSIS, BY APPLICATION
FIGURE 54 MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
FIGURE 55 MARKET: COMPANY FOOTPRINT
FIGURE 56 STREAMING ANALYTICS MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
FIGURE 57 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
FIGURE 58 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
FIGURE 59 IBM: COMPANY SNAPSHOT
FIGURE 60 GOOGLE: COMPANY SNAPSHOT
FIGURE 61 ORACLE: COMPANY SNAPSHOT
FIGURE 62 MICROSOFT: COMPANY SNAPSHOT
FIGURE 63 SAP: COMPANY SNAPSHOT
FIGURE 64 AWS: COMPANY SNAPSHOT
FIGURE 65 SOFTWARE AG: COMPANY SNAPSHOT
FIGURE 66 INFORMATICA: COMPANY SNAPSHOT

The research study for the streaming analytics market involved extensive secondary sources, directories, and several journals. Primary sources were mainly industry experts from the core and related industries, preferred streaming analytics software providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews with primary respondents, including key industry participants and subject matter experts, were conducted to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Secondary Research

The market size of companies offering streaming analytics software and services was determined based on secondary data from paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.

In the secondary research process, various sources were referred to for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendor websites. Additionally, streaming analytics spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on software, services, market classification, and segmentation according to offerings of major players, industry trends related to offerings, applications, vertical, and region, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and streaming analytics expertise; related key executives from streaming analytics software vendors, System Integrators (SIs), professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from software and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using streaming analytics, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of streaming analytics software and services which would impact the overall streaming analytics market.

The following is the breakup of primary profiles:

Digital Agriculture Market  Size, and Share

Market Size Estimation

Multiple approaches were adopted for estimating and forecasting the streaming analytics market. The first approach estimates market size by summating companies’ revenue generated by selling software and services.

Market Size Estimation Methodology-Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering software and services in the streaming analytics market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of offering, application, vertical, and region. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

Market Size Estimation Methodology-Bottom-up approach

The bottom-up approach identified the adoption rate of streaming analytics offerings among different end users in key countries, with their regions contributing the most to the market share. For cross-validation, the adoption of streaming analytics software and services among industries, along with different use cases concerning their regions, was identified and extrapolated. Use cases identified in the different areas were given weightage for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the streaming analytics market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major streaming analytics software providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall streaming analytics market size and segments’ size were determined and confirmed using the study.

Top-down and Bottom-up approaches

Digital Agriculture Market Top Down Approach

Data Triangulation

The market was split into several segments and subsegments after arriving at the overall market size using the market size estimation processes as explained above. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

 

Market Definition

According to SoftwareAG, Streaming analytics involves the continuous processing and analysis of live, rapidly moving data from diverse sources, such as Internet of Things (IoT) devices, to generate alerts and automate actions. By analyzing data in real time, it reduces the need for long-term data storage. This approach is crucial for enterprises seeking to derive immediate insights from large and continuously growing volumes of data. As data streams increase, streaming analytics allows businesses to analyze and integrate information in real-time from IoT gateways, sensors, MES, and ERP systems, among other sources.

MarketsandMarkets defines streaming analytics as the real-time processing and analysis of continuous data streams from various sources such as IoT devices, social media, and transactional systems. Streaming analytics allows for instant insights and quick responses to constantly changing data, in contrast to the slow processing and large data sizes of traditional batch processing. This technique is essential in different sectors requiring rapid responses, as making timely decisions is crucial. Through the utilization of streaming analytics, businesses can identify trends, transmit alerts, and optimize processes, resulting in improved effectiveness and timely adaptation to dynamic circumstances in real-time environments.

Stakeholders

  • Streaming analytics software developers
  • Streaming analytics service vendors
  • Cloud service providers
  • Consulting service providers
  • Enterprise end users
  • Distributors and Value-added Resellers (VARs)
  • Government agencies
  • Independent Software Vendors (ISV)
  • Managed service providers
  • System Integrators (SIs)/migration service providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the streaming analytics market by Offering, Application, Processing Type, Data Type, Vertical, and Region.
  • To describe and forecast the streaming analytics market, in terms of value, by region—North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To provide detailed information regarding major factors influencing the market growth (drivers, restraints, opportunities, and challenges)
  • To strategically analyze micro markets with respect to individual growth trends, prospects, and contributions to the overall streaming analytics market
  • To profile key players and comprehensively analyze their market positions in terms of ranking and core competencies, along with detailing the competitive landscape for market leaders
  • To analyze competitive developments such as joint ventures, mergers and acquisitions, product developments, and ongoing research and development (R&D) in the streaming analytics market
  • To provide the illustrative segmentation, analysis, and projection of the main regional markets

Available Customizations

With the given market data, MarketsandMarkets offers customizations per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • The product matrix provides a detailed comparison of the product portfolio of each company.

Geographic Analysis as per Feasibility

  • Further breakup of the North American streaming analytics market
  • Further breakup of the European streaming analytics market
  • Further breakup of the Asia Pacific streaming analytics market
  • Further breakup of the Middle East & Africa streaming analytics market
  • Further breakup of the Latin America streaming analytics market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

Request Customization

Instant Answers with GPT - Ask Now!

Ask real questions. Get complete answers !
Report Code
TC 3451
Published ON
Sep, 2024
Choose License Type
BUY NOW
  • SHARE
X
Request Customization
Speak to Analyst
Speak to Analyst
OR FACE-TO-FACE MEETING
PERSONALIZE THIS RESEARCH
  • Triangulate with your Own Data
  • Get Data as per your Format and Definition
  • Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
  • Any level of Personalization
REQUEST A FREE CUSTOMIZATION
LET US HELP YOU!
  • What are the Known and Unknown Adjacencies Impacting the Streaming Analytics Market
  • What will your New Revenue Sources be?
  • Who will be your Top Customer; what will make them switch?
  • Defend your Market Share or Win Competitors
  • Get a Scorecard for Target Partners
CUSTOMIZED WORKSHOP REQUEST
knowledgestore logo

Want to explore hidden markets that can drive new revenue in Streaming Analytics Market?

Find Hidden Markets
  • Call Us
  • +1-888-600-6441 (Corporate office hours)
  • +1-888-600-6441 (US/Can toll free)
  • +44-800-368-9399 (UK office hours)
CONNECT WITH US
ABOUT TRUST ONLINE
©2024 MarketsandMarkets Research Private Ltd. All rights reserved
DMCA.com Protection Status
Website Feedback