세계의 스트리밍 분석 시장 : 구성요소별, 용도별, 전개별, 산업별, 지역별, 기회 및 예측(2018-2032년)

Global streaming analytics market is projected to witness a CAGR of 17.12% during the forecast period 2025-2032, growing from USD 22.48 billion in 2024 to USD 79.59 billion in 2032. The global streaming analytics industry is growing at a fast pace to keep up with enterprises using streaming data more than ever before, to make immediate decisions. As streaming data becomes more voluminous and more complex, and technology advances continue to augment its capabilities, demand for analytics platforms is growing quickly, and change is happening all around the world.

Since streaming analytics allows companies to analyze consistent data streams and view live insights, business decisions can happen without any hesitation. Its growth is driven by multiple measures, such as ever-booming global data volumes, particularly from IoT, where IoT integrations and real-time decision-making are gaining traction. Most of the vendors are providing cloud-native platforms with elastic scaling and multi-format ingestion capabilities. They are also integrating AI and ML capabilities to strengthen predictive analytics and operational efficiency workloads. Digital partnerships between analytics providers and cloud capabilities are increasing to provide enterprises with interoperability and reduce customer ramp-up. Organizations are feeling regulatory pressure around data transparency and speed, which is also forcing them into streaming solutions. A hearty interest in tools such as data warehouses, enterprises' business familiarity with data visualization products and ingesting data continually, will spur the growth of the global streaming analytics category in the next upcoming years.

For example, in November 2023, ADA Asia Pte Ltd worked with Databricks Inc. to create an integrated AI and streaming analytics platform. To support the increased demand for integrated real-time data systems that optimize decision-making and drive better performance in all sectors and support rapid acceleration in the global streaming analytics market.

Real-Time Decision-Making Influences the Global Streaming Analytics Market

Since businesses need information instantly to stay competitive and with streaming analytics, companies can detect fraud, monitor asset performance, or observe customer behavior instantly, which helps them in reducing the risk and enabling better service provision. Historical batch processes cannot keep up with timing, losing critical events. Now they have platforms that are low latency and provide live data into dashboards or trigger alerts automatically. This gives teams the power to act fast, whether it be rerouting shipments, alerting security breaches or changing offers for marketing. The push for speed and for anticipating needs, whether from operations or customer expectations, prompts significant investment. As digital transformation continues to grow, documenting and understanding real-time data is paramount. As such, real-time analytics is a core business requirement. The increasing call for on-demand with trustworthy insights propels space's expansion.

For instance, in July 2024, International Business Machines Corporation acquired StreamSets and webMethods to enable real-time integration and automation. This helps enterprises for immediate insight and low-latency platforms to enhance operational decisions and responsiveness around a market demand for real-time streaming analytics solutions.

AI-Driven Analytics Integration Pushes Global Streaming Analytics Market Growth

Businesses are increasingly integrating AI and ML into streaming platforms that automate insights, anticipate trends and deploy data at scale. The AI-enhanced analytics systems are capable of automatically detecting anomalies, providing optimization option recommendations and answering natural language queries. The use of auto-codified AI integrations frees humans up from manual work and increases accuracy. AI integration and capability opens the door to democratizing data by providing non-technical personnel with the ability to ask questions with intelligent responses instantly. The more generative AI with real-time processing and data pipelines can work together, the more valuable the insights can become. Organizations are competing for smart streaming offerings and are investing heavily in intelligent data strategies and technologies. The trend, which is at the beginning stages as demonstrated by several vendors announcing AI-infused features, is gaining traction and momentum. In addition, the organizations are embracing the concept of AI at increasing levels of scale, which is causing growth according to the demand for intelligent streaming platforms.

For example, in June 2024, Informatica Inc. launched generative AI and Snowflake-native applications to streamline the flow of streaming analytics pipelines. To drive further intelligence, automated decision-making capability and data accessibility because of these reasons enterprises invest in smart, scalable streaming data platforms.

BFSI Segment Dominates Global Streaming Analytics Market Share

The BFSI segment is the largest vertical in the streaming analytics sector because it is heavily dependent on actionable, real-time insights to ensure operational security and customer engagement. Financial institutions face an avalanche of transaction data on a day-to-day basis because they need real-time access to that data for a variety of reasons, including suspicion of fraud, determining credit exposure and meeting the regulatory framework. Streaming analytics gives organizations the ability to monitor these critical activities as they are taking place and enables faster and more informed decisions. Streaming analytics is also used by banks and insurers to measure customer behavior, develop personalized offerings and provide automated responses to market shifts. With the frequency of financial data and the importance of low-latency processing, streaming analytics is critical to operating in this vertical. The BFSI segment has been one of the earliest adopters of AI-enhanced platforms, leveraging machine learning for processes such as underwriting, claims processing and compliance. As digital transformation continues to evolve in the financial services sector, the demand for a more scalable, secure and intelligent analytics platform will explode for BFSI, making it the largest and most advanced use case of streaming analytics solutions.

For instance, in January 2024, Streams Charts launched MIRAI, an influencer analytics tool, continuing to expand its business. The service is for the growing use of real-time insights across industries.

North America Holds the Largest Global Streaming Analytics Market Share

North America is currently leading in the global streaming analytics market because the region has many early adopters and technology innovators in finance, telecommunications, retail and government. These sectors need low-latency data processing associated with real-time fraud detection, network performance optimization, adaptive personalization of advertising and marketing and national security. Additionally, the largest cloud service providers are in North America, allowing for combined localized support, with data centers, partner ecosystems, etc, driving North America streaming analytics market growth in the forecast period. Furthermore, the regulatory frameworks around data privacy and data governance provide further justification for on-shore analytics solutions. Other factors contributing to an accelerating market in North America include a ready source of capital for investment and various digital strategic initiatives by the government. Adoption is best described by an urgent demand for smart operations and business agility, supported by ongoing partnerships and government programs. North America will continue to be the leader due to its existing infrastructure, supporting ecosystems and strategic push toward emerging technologies.

For instance, in February 2024, SAS Institute Inc received acclaim and teamed up with Carahsoft Technology Corp to maximize the adoption of streaming analytics by U.S. public agencies.

Impact of U.S. on Tariffs Global Streaming Analytics Market

U.S. tariffs may cause higher costs for imported analytics hardware components like servers and networking devices, and this could mean higher deployment costs for streaming analytics platforms. Many providers, however, deploy their products on domestic cloud infrastructure, so they would not feel as much direct impact. But if the price increases and is passed through to end customers, this may slow adoption in budget-sensitive sectors. However, enterprises that feel that streaming analytics is a top priority regarding performance and compliance may choose to absorb those increased costs to continue providing real-time analytics.

Key Players Landscape and Outlook

Leading vendors of the streaming analytics market are strengthening integration, scalability and integrating advanced technology-driven features in the latest platform releases. Market activity has created an environment of strategic partnerships and fusion of platforms. An expanding ecosystem for providers is built on the foundation of cloud alliances, native AI support and built-in observability. This shift reflects a move from siloed tools to integrated and analytics platforms. Expecting some consolidation as a comprehensive offering remains desirable and open-source compatibility or hybrid deployment alternatives will grow. Future market dynamics will depend on new investments in vendor consolidation, additional emphasis on low-code/no-code tools and a growing demand for AI-infused pipelines. Vendors investing in real-time processing, comprehensible security, and ecosystem interoperability will be the emerging leaders. Overall, the outlook is for an increasingly mature, integrated and intelligent streaming analytics market with considerable levels of growth in revenue.

For instance, in August 2023, Confluent, Inc., joined forces with Google LLC to streamline real-time data integrations. To meet the growing enterprise requirements for reliability with low latency for modern digital architectural needs.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Impact of U.S. Tariffs

4. Executive Summary

5. Voice of Customers

• 5.1. Respondent Demographics
• 5.2. Brand Awareness
• 5.3. Factors Considered in Purchase Decisions
• 5.4. Challenges Faced Post Purchase

6. Global Streaming Analytics Market Outlook, 2018-2032F

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Components
    • 6.2.1.1. Software
    • 6.2.1.2. Services
  • 6.2.2. By Applications
    • 6.2.2.1. Marketing and Sales
    • 6.2.2.2. Network Management and Optimization
    • 6.2.2.3. Location Intelligence
    • 6.2.2.4. Fraud Detection
    • 6.2.2.5. Others
  • 6.2.3. By Deployment
    • 6.2.3.1. On-premises
    • 6.2.3.2. Cloud
  • 6.2.4. By Industry
    • 6.2.4.1. IT and Telecom
    • 6.2.4.2. Media and Entertainment
    • 6.2.4.3. BFSI
    • 6.2.4.4. Healthcare
    • 6.2.4.5. Others
  • 6.2.5. By Region
    • 6.2.5.1. North America
    • 6.2.5.2. Europe
    • 6.2.5.3. Asia-Pacific
    • 6.2.5.4. South America
    • 6.2.5.5. Middle East and Africa
  • 6.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 6.3. Market Map Analysis, 2024
  • 6.3.1. By Components
  • 6.3.2. By Applications
  • 6.3.3. By Deployment
  • 6.3.4. By Industry
  • 6.3.5. By Region

7. North America Streaming Analytics Market Outlook, 2018-2032F

• 7.1. Market Size Analysis & Forecast
  • 7.1.1. By Value
• 7.2. Market Share Analysis & Forecast
  • 7.2.1. By Components
    • 7.2.1.1. Software
    • 7.2.1.2. Services
  • 7.2.2. By Applications
    • 7.2.2.1. Marketing and Sales
    • 7.2.2.2. Network Management and Optimization
    • 7.2.2.3. Location Intelligence
    • 7.2.2.4. Fraud Detection
    • 7.2.2.5. Others
  • 7.2.3. By Deployment
    • 7.2.3.1. On-premises
    • 7.2.3.2. Cloud
  • 7.2.4. By Industry
    • 7.2.4.1. IT and Telecom
    • 7.2.4.2. Media and Entertainment
    • 7.2.4.3. BFSI
    • 7.2.4.4. Healthcare
    • 7.2.4.5. Others
  • 7.2.5. By Country
    • 7.2.5.1. United States
    • 7.2.5.2. Canada
    • 7.2.5.3. Mexico
• 7.3. Country Market Assessment
  • 7.3.1. United States Streaming Analytics Market Outlook, 2018-2032F
    • 7.3.1.1. Market Size Analysis & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share Analysis & Forecast
      • 7.3.1.2.1. By Components
        • 7.3.1.2.1.1. Software
        • 7.3.1.2.1.2. Services
      • 7.3.1.2.2. By Applications
        • 7.3.1.2.2.1. Marketing and Sales
        • 7.3.1.2.2.2. Network Management and Optimization
        • 7.3.1.2.2.3. Location Intelligence
        • 7.3.1.2.2.4. Fraud Detection
        • 7.3.1.2.2.5. Others
      • 7.3.1.2.3. By Deployment
        • 7.3.1.2.3.1. On-premises
        • 7.3.1.2.3.2. Cloud
      • 7.3.1.2.4. By Industry
        • 7.3.1.2.4.1. IT and Telecom
        • 7.3.1.2.4.2. Media and Entertainment
        • 7.3.1.2.4.3. BFSI
        • 7.3.1.2.4.4. Healthcare
        • 7.3.1.2.4.5. Others

All segments will be provided for all regions and countries covered

8. Europe Streaming Analytics Market Outlook, 2018-2032F

• 8.1. Germany
• 8.2. France
• 8.3. Italy
• 8.4. United Kingdom
• 8.5. Russia
• 8.6. Netherlands
• 8.7. Spain
• 8.8. Turkey
• 8.9. Poland

9. Asia-Pacific Streaming Analytics Market Outlook, 2018-2032F

• 9.1. India
• 9.2. China
• 9.3. Japan
• 9.4. Australia
• 9.5. Vietnam
• 9.6. South Korea
• 9.7. Indonesia
• 9.8. Philippines

10. South America Streaming Analytics Market Outlook, 2018-2032F

• 10.1. Brazil
• 10.2. Argentina

11. Middle East and Africa Streaming Analytics Market Outlook, 2018-2032F

• 11.1. Saudi Arabia
• 11.2. UAE
• 11.3. South Africa

12. Porter's Five Forces Analysis

13. PESTLE Analysis

14. Market Dynamics

• 14.1. Market Drivers
• 14.2. Market Challenges

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

• 17.1. Competition Matrix of Top 5 Market Leaders
• 17.2. SWOT Analysis for Top 5 Players
• 17.3. Key Players Landscape for Top 10 Market Players
  • 17.3.1. International Business Machines Corporation
    • 17.3.1.1. Company Details
    • 17.3.1.2. Key Management Personnel
    • 17.3.1.3. Key Products/Services Offered
    • 17.3.1.4. Key Financials (As Reported)
    • 17.3.1.5. Key Market Focus and Geographical Presence
    • 17.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 17.3.2. Microsoft Corporation
  • 17.3.3. Google LLC
  • 17.3.4. Software GmbH
  • 17.3.5. Confluent, Inc.
  • 17.3.6. Amazon Web Services, Inc.
  • 17.3.7. Informatica Inc.
  • 17.3.8. Impetus Technologies, Inc.
  • 17.3.9. Cloud Software Group, Inc.
  • 17.3.10. Oracle Corporation

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

18. Strategic Recommendations

19. About Us and Disclaimer