Product Code: TC 3451
The global streaming analytics market is predicted to reach from USD 29.53 billion in 2024 to USD 125.85 billion by 2029, with a CAGR of 33.6% during the forecast period. The utilization of streaming analytics has revolutionized how businesses operate by using real-time processing and data analytics. It allows businesses to observe and react to data instantly, providing quick insights for speedy decision-making. The streaming analytics market is growing quickly as businesses understand the importance of staying proactive on trends and addressing problems promptly. With the use of streaming analytics, organizations are improving operational efficiency, enhance customer experiences, and discover new growth opportunities.
Scope of the Report |
Years Considered for the Study | 2019-2029 |
Base Year | 2023 |
Forecast Period | 2024-2029 |
Units Considered | USD (Billion) |
Segments | Offering, Application, Processing Type, Data Type, Vertical, and Region |
Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
"By offering, the software segment is projected to hold the largest market share during the forecast period."
The software segment is expected to take the lead and dominate the largest share of the streaming analytics market. The increase is primarily driven by the increasing utilization of real-time data processing software. Businesses are relying increasingly on streaming analytics software to quickly analyze incoming data and make informed decisions, resulting in faster and better choices. The need for sophisticated analytics tools that offer instant insights and assist in enhancing operations is driving this shift. With an increasing number of organizations acknowledging the importance of real-time data, the software segment within the streaming analytics market is expected to experience significant growth.
"By processing type segment, real-time streaming is registered to grow at the highest CAGR during the forecast period."
During the forecast period, real-time streaming is projected to have the highest compound annual growth rate (CAGR) in the streaming analytics market. This growth is due to the growing need for real-time data processing capabilities. Businesses utilize streaming analytics to quickly analyze data, leading to rapid decision-making based on real-time insights. With a greater understanding of the importance of real-time data analysis, the market for streaming analytics is expected to experience rapid growth. This increase demonstrates the overall trend of using up-to-date data to remain competitive and flexible in a rapidly changing digital environment.
"By data type, unstructured data is projected to hold largest market share during the forecast period"
Unstructured data type is anticipated to hold the largest market share in the streaming analytics market during the forecast period. This trend emphasizes the increasing significance of analyzing massive quantities of unstructured data, such as social media posts, videos, and sensor data, instantaneously. The demand for unstructured data type is rapidly increasing as businesses rely more on streaming analytics to derive insights from diverse and complex data sources. The ability to effectively examine and comprehend this data allows businesses to make quicker, more well-informed decisions. This means that unstructured data type is projected to be the primary focus in the field of streaming analytics, highlighting its crucial role in the market.
"By application, sales performance tracking is registered to have highest CAGR during the forecast period"
During the forecast period, sales performance tracking is expected to experience the highest CAGR in the streaming analytics market. The rise is mainly fueled by the growing need for real time data processing, helping companies in optimizing sales tactics and enhancing overall results. By utilizing streaming analytics businesses are able to get real-time sales data, which helps in quicker and better decision-making. Consequently, this application in the streaming analytics market is anticipated to grow at a faster rate underscoring its significance in improving sales procedures and accomplishing organizational goals.
"By vertical, the BFSI sector is projected to hold the largest market share during the forecast period."
During the forecast period, the BFSI sector is anticipated to hold the largest market share in the streaming analytics market. This growth is being propelled by the growing demand to effectively gather and analyze vast amounts of data in real-time. Businesses within the BFSI industry are using streaming analytics solutions to extract important information from real-time data processing, leading to improved decision-making, fraud identification, risk mitigation, and customer satisfaction. As a result, the BFSI industry is expected to see notable expansion in the streaming analytics market.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the streaming analytics market.
- By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
- By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
- By Region: North America - 40%, Europe - 20%, Asia Pacific - 30%, Middle East & Africa - 5%, and Latin America - 5%
Major vendors offering streaming analytics solution and services across the globe are 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), GridGain Systems (US).
Research Coverage
The market study covers streaming analytics across segments. It aims to estimate the market size and the growth potential across different segments, such as offering, model type, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall market for streaming analytics and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (rising demand for statistical computation and analysis of moving data streams, integration of edge computing to enhance real-time data processing, and increased need for hyper-personalized customer interactions), restraints (compatibility issues and higher expenses, and regulatory compliance complexity), opportunities (rising investments in industry 4.0, and ability to extract profound insights and precise decision-making), and challenges (managing volume and velocity of data streams, and issues related to data consistency)
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new solutions & service launches in the streaming analytics market.
- Market Development: Comprehensive information about lucrative markets - the report analyses the streaming analytics market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in streaming analytics market strategies; the report also helps stakeholders understand the pulse of the streaming analytics market and provides them with information on key market drivers, restraints, challenges, and opportunities.
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as Google (US), Microsoft (US), SAS Institute (US), and AWS (US) among others, in the streaming analytics market.
TABLE OF CONTENTS
1 INTRODUCTION
- 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
- 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
4 PREMIUM INSIGHTS
- 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN STREAMING ANALYTICS MARKET
- 4.2 STREAMING ANALYTICS MARKET, BY KEY APPLICATIONS, 2024-2029
- 4.3 NORTH AMERICA: STREAMING ANALYTICS MARKET, BY OFFERING AND KEY VERTICALS, 2024
- 4.4 STREAMING ANALYTICS MARKET, BY REGION, 2024
5 MARKET OVERVIEW AND INDUSTRY TRENDS
- 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
- 5.10 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
- 5.16.2 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
- 6.1 INTRODUCTION
- 6.1.1 OFFERING: STREAMING ANALYTICS 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
- 7.1 INTRODUCTION
- 7.1.1 APPLICATION: STREAMING ANALYTICS 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
- 7.10 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
- 8.1 INTRODUCTION
- 8.1.1 PROCESSING TYPE: STREAMING ANALYTICS 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
- 9.1 INTRODUCTION
- 9.1.1 DATA TYPE: STREAMING ANALYTICS 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
- 10.1 INTRODUCTION
- 10.1.1 VERTICAL: STREAMING ANALYTICS 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
- 10.10 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
- 11.1 INTRODUCTION
- 11.2 NORTH AMERICA
- 11.2.1 NORTH AMERICA: STREAMING ANALYTICS 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
- 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 STREAMING ANALYTICS MARKET: YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
13 COMPANY PROFILES
- 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
- 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
- 15.1 DISCUSSION GUIDE
- 15.2 CUSTOMIZATION OPTIONS
- 15.3 RELATED REPORTS
- 15.4 AUTHOR DETAILS