USD 65.0 billion
Data Analytics Market Size, Share, and Growth Analysis
Data Analytics Market By Type (Descriptive Analytics, Predictive Analytics), By Solution (Data Management, Data Mining), By Application (Supply Chain Management, Enterprise Resource Planning), By Industry (Healthcare, IT & Telecom), By Region - Industry Forecast 2025-2032
Report ID:
SQMIG45A2112 |
Region:
Global |
Published Date: March, 2025
Pages:
157
|Tables:
121
|Figures:
72
Format -
Data Analytics Market Insights
Data Analytics Market size was valued at USD 65.0 billion in 2023 and is poised to grow from USD 82.88 billion in 2024 to USD 578.77 billion by 2032, growing at a CAGR of 27.5% during the forecast period (2025-2032).
Data analysis refers to the analysis of data structures to find useful information for solving problems in various industries. It combines computer programming, mathematics and statistics to analyze precise data. Growing demand for big data and predictive analytics is driving the growth of the data analytics market. Market leaders continue to focus on developing scalable data sharing, data fabrics and artificial intelligence (AI) systems to drive new growth, transformation and innovation. According to a survey conducted by American experience management company, Qualtrics and ServiceNow, almost 83% of consumers prefer to touch products with good digital experiences, and 70% of consumers trust products that offer great digital experiences.
Market snapshot - 2025-2032
Global Market Size
Largest Segment
Predictive Analytics
Fastest Growth
Real-time Analytics
Growth Rate
27.5% CAGR
Global Data Analytics Market ($ Bn)
Country Share for North America Region (%)
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Data Analytics Market Segments Analysis
Global Data Analytics Market is segmented by Type, Solution, Application, Industry and region. Based on Type, the market is segmented into Descriptive Analytics, Predictive Analytics, Augmented Analytics, Real-Time Analytics, Prescriptive Analytics and Others (Diagnostic Analytics). Based on Solution, the market is segmented into Data Management, Data Mining, Security Intelligence and Data Monitoring. Based on Application, the market is segmented into Supply Chain Management, Enterprise Resource Planning, Database Management, Human Resource Management, Customer Relationship Management and Others (Product Lifecycle Management). Based on Industry, the market is segmented into Healthcare, IT & Telecom, BFSI, Education, Manufacturing, Government, Transportation & Logistics, Retail & E-commerce and Others (Media & Entertainment). Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Analysis by Type
Predictive analytics segment is dominating the market. In recent years, predictive analytics has become crucial for organizations to understand the amount of data. The main trend in predictive analytics is AI and machine learning (ML) widely used. With the growth of this technology, organizations are recognizing the potential for more accurate predictive models.
The real-time analytics segment is expected to witness the highest CAGR growth during the forecast period. Using real-time data analytics, companies can monitor trends and measure progress toward goals. They can access data remotely, track purchases, distribute resources, and enhance network security. According to a November 2022 global survey by industry experts, a key area for investment in advanced analytics is robust event management, for which 52% of companies have already allocated resources.
Analysis by Solution
In 2023, the data mining segment dominated the market. The main trend in this area is the adoption of automation and artificial intelligence to make the data mining process easier and faster. Automated tools can handle tasks such as data preparation, feature engineering, model selection and evaluation without human intervention.
The security intelligence segment is expected to exhibit the highest CAGR during the forecast period in the data analytics market. The transition to comprehensive threat intelligence programs (TIPs) is expected to significantly impact the future of cybersecurity.
Global Data Analytics Market By Type (%)
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Data Analytics Market Regional Insights
North America dominated the market with a revenue share of 34.7% in 2023. The region is home to leading companies from all industries, and heavy users of software e.g., Facebook, Twitter and Instagram collect profile users about their preferences through data analytics. The availability of infrastructure supporting data analytics and increasing use of advanced technologies such as AI and machine learning are driving the market growth in North America.
The Asia-Pacific region is the fastest growing segment during the forecast period. The adoption of social media platforms, internet and smartphones, the growth in communication technologies and digitization are both expected to increase the data analytics market share. Many Asian countries, including China and Japan, apply features of data-intensive AI and ML technologies in various industries into the market, leading to increased usage of data analytics. The increased usage of data analytics tools and solutions will also boost market growth.
Global Data Analytics Market By Geography
- Largest
- Fastest
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Data Analytics Market Dynamics
Data Analytics Market Drivers
Increasing Volume of Data
- The exponential growth of data generated by the businesses and consumers is driving the demand for big data analytics solutions. Companies are trying to use this vast amount of data to gain actionable insights and improve decision-making.
Technological Advances
- Technological innovations in cloud computing, artificial intelligence, and machine learning are increasing the power and efficiency of big data analytics tools. These advances make it easier for businesses to generate data sizes that have been processed and analyzed in real time.
Data Analytics Market Restraints
Data Privacy Concerns
- Increased data privacy concerns and stricter regulations (e.g., GDPR) may restrict the extent to which companies can store and analyze personal data. This can hinder the effectiveness of big data analytics solutions.
High Cost
- Implementing a big data analytics solution can be expensive, especially for small and medium-sized enterprises (SMEs). Costs associated with technology, infrastructure and skilled labor can be prohibitive.
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Data Analytics Market Competitive Landscape
Global Data Analytics Market is defined by high competition between the leading players and emerging players in the market. Some of the giants in the market include IBM, Microsoft, and Google, who use their large cloud services and robust AI to develop comprehensive analytics solutions. Some of these firms are still competing in scale, integration, and new analytics powered by artificial intelligence. New entrants are gradually building market momentum because they are offering products and services that incorporate state-of-the-art technologies and interfaces that focus on real time analysis and simplicity. Also, there are some niche players including Cloudera and Splunk that have a narrower focus and serve specific sectors like cybersecurity and financial services, respectively.
Top Players in Data Analytics Market
- Zoho Corporation Pvt. Ltd. (India)
- Oracle (US)
- ThoughtSpot, Inc. (US)
- SAP SE (Germany)
- Dell Inc. (US)
- Amazon Web Services, Inc. (US)
- SAS Institute Inc. (US)
- Alteryx, Inc (US)
- IBM Corporation (US)
- Microsoft (US)
- MicroStrategy Inc. (US)
- Pyramid Analytics (Netherlands)
- Teradata Corporation (US)
- Domo, Inc. (US)
- Snowflake Inc. (US)
- Sisense, Inc. (US)
Recent Developments
- In June 2024, Fractal, an AI and advanced analytics provider to Fortune 500 firms, merged with Eugenie AI (Eugenie. ai), an AI firm in climate change and industrial sustainability. Having had the privilege of spearheading Occam’s work since 2020, Eugenie has grown to become an expert in the use of Artificial Intelligence solutions in climate impacts mitigation, working with large industrial companies in industries that include energy, metals and mining.
- In March 2024, LatentView Analytics Ltd, Chennai-based digital analytics consulting, and solutions firm announced its plan to acquire 70% of Decision Point’s outstanding equity capital for $39.1 million. The remaining 30% equity will be acquired over the next two years based on agreed valuation principles.
- In January 2024 Qlik acquired additional AIPs for unstructured data with the natural language processing and generative AI intellectual property of Kyndi, a software company located in San Mateo, California. This strategic move involves patents and technology assets, which Qlik will use to help its customers gain analysis on big data and achieve AI-based business results.
Data Analytics Key Market Trends
Integrating Artificial Intelligence (AI) and Machine Learning (ML): The combination of AI and ML with big data analytics is changing the market. This technology enhances the ability to reveal patterns, predict, and automate decision-making processes. By leveraging AI and ML, organizations can gain deeper insights from their data, leading to more informed strategic decisions and operational efficiencies.
Data Analytics Market SkyQuest Analysis
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyzes the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
According to SkyQuest analysis, the market is rapidly expanding, particularly due to the increasing adoption of technologies that create large volumes of data across a wide range of industries. Advanced analytics is being used by businesses to gain insights, make better decisions and stay ahead in the market. Some of the main sectors that are implementing big data include finance, healthcare, retail and manufacturing sectors; the use of analytics in the mentioned industries is to improve efficiency, predict consumer behaviors and preferences, and enhance the customer experience. The leading companies include international giants like IBM, Microsoft, Oracle, and others that develop and introduce ever more complex and integrated systems. The increased usage of big data analytics, AI and machine learning is significantly driving the growth of the market. Some of the challenges include data privacy concerns and the lack of skilled professionals, however, the overall outlook remains encouraging with prospects of further growth based on technological advancements and growing emphasis on big data management strategies.
| Report Metric | Details |
|---|---|
| Market size value in 2023 | USD 65.0 billion |
| Market size value in 2032 | USD 578.77 billion |
| Growth Rate | 27.5% |
| Base year | 2024 |
| Forecast period | 2025-2032 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
|
| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
|
| Customization scope | Free report customization with purchase. Customization includes:-
|
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Table Of Content
Executive Summary
Market overview
- Exhibit: Executive Summary – Chart on Market Overview
- Exhibit: Executive Summary – Data Table on Market Overview
- Exhibit: Executive Summary – Chart on Data Analytics Market Characteristics
- Exhibit: Executive Summary – Chart on Market by Geography
- Exhibit: Executive Summary – Chart on Market Segmentation
- Exhibit: Executive Summary – Chart on Incremental Growth
- Exhibit: Executive Summary – Data Table on Incremental Growth
- Exhibit: Executive Summary – Chart on Vendor Market Positioning
Parent Market Analysis
Market overview
Market size
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- SWOT Analysis
KEY MARKET INSIGHTS
- Technology Analysis
- (Exhibit: Data Table: Name of technology and details)
- Pricing Analysis
- (Exhibit: Data Table: Name of technology and pricing details)
- Supply Chain Analysis
- (Exhibit: Detailed Supply Chain Presentation)
- Value Chain Analysis
- (Exhibit: Detailed Value Chain Presentation)
- Ecosystem Of the Market
- Exhibit: Parent Market Ecosystem Market Analysis
- Exhibit: Market Characteristics of Parent Market
- IP Analysis
- (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
- Trade Analysis
- (Exhibit: Data Table: Import and Export data details)
- Startup Analysis
- (Exhibit: Data Table: Emerging startups details)
- Raw Material Analysis
- (Exhibit: Data Table: Mapping of key raw materials)
- Innovation Matrix
- (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
- Pipeline product Analysis
- (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
- Macroeconomic Indicators
COVID IMPACT
- Introduction
- Impact On Economy—scenario Assessment
- Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
- Revised Market Size
- Exhibit: Data Table on Data Analytics Market size and forecast 2021-2027 ($ million)
- Impact Of COVID On Key Segments
- Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
- COVID Strategies By Company
- Exhibit: Analysis on key strategies adopted by companies
MARKET DYNAMICS & OUTLOOK
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- Regulatory Landscape
- Exhibit: Data Table on regulation from different region
- SWOT Analysis
- Porters Analysis
- Competitive rivalry
- Exhibit: Competitive rivalry Impact of key factors, 2021
- Threat of substitute products
- Exhibit: Threat of Substitute Products Impact of key factors, 2021
- Bargaining power of buyers
- Exhibit: buyers bargaining power Impact of key factors, 2021
- Threat of new entrants
- Exhibit: Threat of new entrants Impact of key factors, 2021
- Bargaining power of suppliers
- Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
- Competitive rivalry
- Skyquest special insights on future disruptions
- Political Impact
- Economic impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact
Market Size by Region
- Chart on Market share by geography 2021-2027 (%)
- Data Table on Market share by geography 2021-2027(%)
- North America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- USA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Canada
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Europe
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Germany
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Spain
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- France
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- UK
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Europe
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Asia Pacific
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- China
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- India
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Japan
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Korea
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Asia Pacific
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Latin America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Brazil
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of South America
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Middle East & Africa (MEA)
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- GCC Countries
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Africa
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of MEA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
KEY COMPANY PROFILES
- Competitive Landscape
- Total number of companies covered
- Exhibit: companies covered in the report, 2021
- Top companies market positioning
- Exhibit: company positioning matrix, 2021
- Top companies market Share
- Exhibit: Pie chart analysis on company market share, 2021(%)
- Total number of companies covered
Methodology
For the Data Analytics Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Data Analytics Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Data Analytics Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Data Analytics Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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