Global Statistical Analytics Market
Market Size in USD Billion
CAGR :
% 
 Forecast Period |
2023 –2030 |
 Market Size (Base Year) |
USD 282.71 Billion |
 Market Size (Forecast Year) |
USD 762.22 Billion |
 CAGR |
% |
| Major Markets Players |
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Global Statistical Analytics Market, By Component (Solution, Service), Solution (Data Mining, Predictive Analytics, Visual Analytics), Service (Professional Service, Support and Maintenance Service), Deployment (Cloud, On-Premise) – Industry Trends and Forecast to 2030.
Statistical Analytics Market Analysis and Size
Analytics is defined as the systematic computational analysis of data or statistics which is used for the interpretation, discovery, and communication of meaningful patterns in data. It also entails applying data patterns towards effective decision-making.
Data Bridge Market Research analyses that the global statistical analytics market is expected to grow at a CAGR of 33.12% during the forecast period of 2023 to 2030, at a USD 282.71 Billion in 2022 is expected to reach USD 762.22 billion by 2030. The “Solution” segment is the dominating segment. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
Statistical Analytics Market Scope and Segmentation
|
Report Metric |
Details |
|
Forecast Period |
2023 to 2030 |
|
Base Year |
2022 |
|
Historic Years |
2021 (Customizable to 2015-2020) |
|
Quantitative Units |
Revenue in USD Billion, Volumes in Units, Pricing in USD |
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Segments Covered |
Component (Solution, Service), Solution (Data Mining, Predictive Analytics, Visual Analytics), Service (Professional Service, Support and Maintenance Service), Deployment (Cloud, On-Premise) |
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Countries Covered |
U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E., South Africa, Egypt, Israel, Rest of the Middle East and Africa |
|
Market Players Covered |
SAP SE (Germany), SAS Institute (U.S.), Oracle Corporation (U.S.), International Business Machines (IBM) (U.S.), Tibco Software Inc. (U.S.), Qlik Software(U.S.), Alteryx (U.S.), StataCorp (U.S.). Plug & Score (Russia), Lumina Decision Systems (U.S.), and amongs |
|
Market Opportunities |
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Market Definition
The global statistical analytics market refers to the industry involved in the collection, analysis, interpretation, and presentation of data to make informed decisions, identify trends, and gain insights into various aspects of business, economics, science, and other fields. Statistical analytics utilizes statistical methods, techniques
Global Statistical Analytics Market Dynamics
Drivers
- Data-driven Decision Making
Organizations across various industries are increasingly recognizing the value of data in making informed decisions. Statistical analytics plays a crucial role in extracting meaningful insights from data, enabling businesses to optimize operations, identify new opportunities, and enhance their competitive edge.
- Technological Advancements
Advances in technology, particularly in areas like artificial intelligence (AI) and machine learning, have significantly improved the capabilities of statistical analytics tools. These innovations have made it easier to handle massive datasets, perform complex analyses, and automate tasks, driving the adoption of statistical analytics solutions.
Opportunities
- AI and Machine Learning Integration
The integration of statistical analytics with AI and machine learning is a significant trend. This enables predictive and prescriptive analytics, allowing businesses to forecast future trends, automate decision-making processes, and gain a competitive advantage by staying ahead of the curve.
- Cloud-based Solutions
The adoption of cloud-based statistical analytics solutions is on the rise. Cloud platforms offer scalability, flexibility, and cost-effectiveness, making advanced analytics more accessible to a broader range of businesses. This trend is expected to continue as organizations seek to leverage the benefits of the cloud.
Restraints/Challenges
- Data Privacy and Security Concerns
As organizations collect and analyze more data, concerns about data privacy and security have grown. Stricter regulations like GDPR and CCPA place significant constraints on how data can be used and stored. Companies must navigate these regulations and ensure compliance, which can be challenging and costly.
- Skills Gap
While statistical analytics tools have become more powerful, there is a shortage of skilled professionals who can effectively utilize these tools. The shortage of data scientists and statisticians capable of interpreting and implementing advanced statistical techniques can limit the adoption of statistical analytics in some organizations.
Recent Developments
- In April 2022, Wipro collaborated with DataRobot, an augmented intelligence business, to boost the business impact of consumers by offering augmented intelligence at scale and assisting them in becoming an AI-powered company. Further, this collaboration will guarantee that the AI approais adopted quickly and businesses receive their data to value more efficiently
- In March 2022, Microsoft released Azure Health Data Services, a Platform as a Service (PaaS) designed to support transactional and analytical workloads. It powers Artificial Intelligence (AI) and combines health data in the cloud, supporting Protected Health Information (PHI).
- In December 2021, Oracle Corporation purchased Cerner, a digital information systems supplier in health systems and hospitals. Cerner utilizes big data analytics to process and collect the patient’s information. In addition, this acquisition will allow medical specialists to provide better healthcare toindividual patients and communities.
Global Statistical Analytics Market Scope
The global statistical analytics market is segmented on the basis of component, solution, service and deployment. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
Component
- Solution
- Service
Solution
- Data Mining
- Predictive Analytics
- Visual Analytics
Service
- Professional Service
- Support and Maintenance Service
Deployment
- Cloud
- On-Premise
Global Statistical Analytics Market Region Analysis/Insights
Global statistical analytics market is analysed and market size, volume information is provided by country, component, solution, service and deployment as referenced above.
The countries covered in the global statistical analytics market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
North America dominates the global statistical analytics market due to rise in the invention of advanced technology and economies and rise in the research and development activities in the market in this region.
The country section of the global statistical analytics market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Global Statistical Analytics Market Share Analysis
Global statistical analytics market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to global statistical analytics market.
The major players covered in the global statistical analytics market report are
- SAP SE (Germany)
- SAS Institute (U.S.)
- Oracle Corporation (U.S.)
- International Business Machines (IBM) (U.S.)
- Tibco Software Inc. (U.S.)
- Qlik Software(U.S.)
- Alteryx (U.S.)
- StataCorp (U.S.)
- Plug & Score (Russia)
- Lumina Decision Systems (U.S.)
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Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Customization Available
Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.
