Emphasis on Components (Software and Services); Deployment (On-premises and Cloud); Application (Marketing and Sales, Network Management & Optimization, Location Intelligence, Fraud Detection, and Others); Industry (IT and Telecom, Media and entertainment, BFSI, Healthcare, and Others) and Region/Country
The Global Streaming Analytics Market was valued at USD 26.2 billion in 2023 and is expected to grow at a strong CAGR of around 30.04% during the forecast period (2024-2032) owing to streaming analytics enables real-time threat detection and response, addressing the growing concerns around cybersecurity.
The streaming analytics market globally means the technology and software solutions used in real-time technology for the analysis of continuous data feed from social media, IoT devices, and transaction systems. This market is characterized by the ability to deliver Analytical Services to organizations with a high level of timeliness, to support decision-making and operations. The global data integrations and ingestions market is primarily governed by factors like the unprecedented rise in data production, upsurge in IoT applications, demand for emerging analytics across verticals that include finance, healthcare, and retail sectors besides others, and the focus on the utilization of data in decision making. Also, cloud computing and advancements in machine learning technologies improve the applicability and capability of streaming analytics to increase the rate of business implementation of streaming analytics.
This section discusses the key market trends that are influencing the various segments of the global streaming analytics market, as identified by our team of research experts.
Marketing and Sales Segment Transforming Industry
The marketing and sales category leads the Streaming analytics market as it empowers organizations to use real-time insights in improving their customer engagement, planning, and execution of campaigns and sales tactics. Through streaming analytics, they can analyze huge amounts of customer data from various channels including social media, e-commerce platforms, and digital advertising, and gain real-time insights into customers’ behavior and trends. This enables marketing and sales to increase customer value and optimize the conversion ratio while reducing cost and risk, therefore, the growth of streaming analytics is seen across most industries.
The Asia-Pacific Region is Also Growing at a Steady Pace During the Forecast Period.
The Asia-Pacific streaming analytics Market is evolving fast owing to trends such as the digitalization of Asia-Pacific, the expansion of IoT, and the adoption of technologies like AI and machine learning. Today, retail, finance, telecommunications, and manufacturing businesses are successfully using streaming analytics to make better decisions in real-time, optimize their activities, and improve the clients’ experiences. Smart cities, 5G networks, and the shift to cloud-based solutions increase the demand significantly more with countries such as China, India, and Japan taking the lead in the market. Another driver is the rising adoption of efficient and inexpensive Statistical Analytics and Business Intelligence tools by using Small and Medium-sized enterprises-SMEs across this region.
The global streaming analytics market is competitive, with several global and international market players. The key players are adopting different growth strategies to enhance their market presence, such as partnerships, agreements, collaborations, new product launches, geographical expansions, and mergers and acquisitions. Some of the major players in the market are IBM; Microsoft; Google Inc.; Software GmbH; Confluent, Inc.; Amazon Web Services, Inc.; Informatica Inc.; Impetus Technologies, Inc.; Cloud Software Group, Inc.; and Oracle.
The global streaming analytics market can further be customized as per the requirement or any other market segment. Besides this, UMI understands that you may have your own business needs, hence feel free to contact us to get a report that completely suits your requirements.
1. Market Introduction
2. Research Methodology or Assumption
3. Executive Summary
4. Market Dynamics
5. Pricing Analysis
6. Global Streaming Analytics Market Revenue (USD BN), 2022-2032F
7. Market Insights by Components
8. Market Insights by Deployment
9. Market Insights by Applications
10. Market Insights by Industry
11. Market Insights by Region
12. Value Chain Analysis
13. Competitive Landscape
14. Company Profiled
15. Acronyms & Assumption
16. Annexure
Analyzing the historical market, estimating the current market, and forecasting the future market of the global Streaming Analytics market were the three major steps undertaken to create and analyze the adoption of global Streaming Analytics in major regions. Exhaustive secondary research was conducted to collect the historical market numbers and estimate the current market size. Secondly, to confirm these insights, numerous findings and assumptions were considered. Moreover, exhaustive primary interviews were conducted with industry experts across the value chain of the global Streaming Analytics market. For the assumption and validation of market numbers through primary interviews, we employed a top-down/bottom-up approach to forecasting the complete market size. Thereafter, market breakdown and data triangulation methods were adopted to estimate and analyze the market size of segments and sub-segments of the industry pertains to. The detailed method is explained below:
Step 1: In-Depth Study of Secondary Sources:
A detailed secondary study was conducted to obtain the historical market size of the global Streaming Analytics market through company internal sources such as annual reports & financial statements, performance presentations, press releases, etc., and external sources including journals, news & articles, government publications, competitor publications, sector reports, third-party database, and other credible publications.
Step 2: Market Segmentation:
After obtaining the historical market size of the global Streaming Analytics market, we conducted a detailed secondary analysis to gather historical market insights and share for different segments & sub-segments for major regions. Major segments are included in the report, such as components, deployment, applications, industry, and regions. Further country-level analyses were conducted to evaluate the overall adoption of testing models in that region.
Step 3: Factor Analysis:
After buying the historical market size of different segments and sub-segments, we conducted a detailed factor analysis to estimate the current market size of the global Streaming Analytics market. Further, we conducted factor analysis using dependent and independent variables such as components, deployment, applications, industry, and global Streaming Analytics market regions. A thorough analysis of demand and supply-side scenarios was conducted considering top partnerships, mergers and acquisitions, business expansion, and product launches in the global Streaming Analytics market.
Current Market Sizing: Based on actionable insights from the above 3 steps, we arrived at the current market size, key players in the global Streaming Analytics market, and market shares of the segments. All the required percentage shares split and market breakdowns were decided using the above-mentioned secondary approach and were verified through primary interviews.
Estimation & Forecasting: For market estimation and forecast, weights were assigned to several factors including drivers & trends, restraints, and opportunities available for the stakeholders. After analyzing these factors, relevant forecasting techniques i.e., the top-down/bottom-up approach were applied to arrive at the market forecast 2032 for different segments and sub-segments across the major markets globally. The research method adopted to estimate the market size encompasses:
Primary Research: In-depth interviews were conducted with the Key Opinion Leaders (KOLs) including Top Level Executives (CXO/VPs, Sales Head, Marketing Head, Operational Head, Regional Head, Country Head, etc.) across major regions. Primary research findings were then summarized, and statistical analysis was performed to prove the stated hypothesis. Inputs from primary research were combined with secondary findings, hence turning information into actionable insights.
Market Engineering
The data triangulation technique was employed to complete the overall market estimation and to arrive at precise statistical numbers for each segment and sub-segment of the global Streaming Analytics market. Data was split into several segments and sub-segments after studying various parameters and trends in the global Streaming Analytics market’s components, deployment, applications, and industry, and regions.
The current & future market trends of the global Streaming Analytics market were pinpointed in the study. Investors can gain strategic insights to base their discretion for investments on the qualitative and quantitative analysis performed in the study. Current and future market trends determined the market’s overall attractiveness at a regional level, providing a platform for the industrial participant to exploit the untapped market to benefit from a first-mover advantage. Other quantitative goals of the studies include:
Q1: What is the global Streaming Analytics market’s current market size and growth potential?
Q2: What are the driving factors for the growth of the global Streaming Analytics market?
Q3: Which segment has the largest global Streaming Analytics market share by Components category?
Q4: What are the emerging technologies and trends in the global Streaming Analytics market?
Q5: Which region will dominate the global Streaming Analytics market?
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