Data Analytics Market Size and Share
Data Analytics Market Analysis by Mordor Intelligence
The data analytics market size is valued at USD 82.33 billion in 2025 and is forecast to expand to USD 345.30 billion by 2030, reflecting a CAGR of 33.2%. Cloud-native architectures, AI-driven automation, and surging enterprise data volumes are accelerating adoption across every major vertical. In 2025, 77% of organizations list analytics as the principal lever for operational efficiency, underscoring its shift from support function to strategic core[1]Ataccama, “Data Quality Trends Shaping 2025,” ataccama.com. Heightened regulatory transparency demands, rising cyber-threat complexity, and the need for real-time decision support further amplify solution uptake. Competitive intensity is increasing as platform vendors layer natural-language and agentic AI features on established offerings to boost user productivity and reduce skills-gap friction.
Key Report Takeaways
- By analytics type, Descriptive Analytics led with 28% of data analytics market share in 2024, while Prescriptive Analytics is set to record a 33.5% CAGR to 2030.
- By solution, Data Management accounted for 25% of the data analytics market in 2024; Security Intelligence is projected to advance at a 34.1% CAGR through 2030.
- By application, Customer Relationship Management held an 18% share of the data analytics market in 2024, whereas Risk and Fraud Management will grow at a 34.2% CAGR to 2030.
- By deployment model, On-Premises platforms retained 65% of the 2024 data analytics market, but Cloud solutions are growing at a 33.9% CAGR.
- By organization size, Large Enterprises captured 70% revenue in 2024; Small and Medium Enterprises will post a 33.6% CAGR between 2025-2030.
- By end-user industry, Information Technology and Telecom led with 45% of data analytics market share in 2024, yet Healthcare will deliver the fastest 34.1% CAGR.
- By geography, North America contributed 33% of 2024 revenue, while Asia-Pacific is forecast to grow at a 33.7% CAGR over the same horizon.
Global Data Analytics Market Trends and Insights
Drivers Impact Analysis
Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
---|---|---|---|
Explosion of enterprise data volumes | +5.0% | Global; higher in North America and Europe | Medium term (2–4 years) |
Rapid adoption of cloud-native analytics | +6.0% | Global; early uptake in North America | Medium term (2–4 years) |
AI/ML integration elevating analytics value | +6.6% | Global; concentrated in technology hubs | Long term (≥ 4 years) |
Regulatory push for data transparency | +4.0% | North America, Europe, rising in APAC | Medium term (2–4 years) |
Privacy-preserving data clean rooms | +2.7% | North America, Europe | Long term (≥ 4 years) |
Edge analytics for latency-critical IoT | +2.0% | Global; early use in manufacturing and telecom | Long term (≥ 4 years) |
Source: Mordor Intelligence
Explosion of enterprise data volumes
Petabyte-scale datasets are now routine, especially in healthcare, which generates 30% of global data and is growing at 36% annually. Only 22% of firms consider their infrastructure adequate for AI workloads, pushing spend toward distributed compute, columnar storage, and GPU-accelerated query engines. Vendors that optimize cost-per-query at scale are gaining advantage in the data analytics market.
Rapid adoption of cloud-native analytics platforms
Elastic consumption pricing, managed services, and ecosystem integrations are making cloud data warehouses the default landing zone for many analytical workloads. The cloud shift democratizes insight creation, with 51% of data leaders prioritizing self-service analytics. Yet integration complexity and egress fees are motivating hybrid architectures within the data analytics market.
AI/ML integration elevating analytics value
Agentic AI unlocks predictive and prescriptive automation, converting static dashboards into decision engines. While McKinsey cites a USD 4.4 trillion productivity upside, only 1% of enterprises judge themselves AI-mature. Snowflake’s Intelligence and Data Science Agent modules exemplify how natural-language interfaces are closing the talent gap[2]Snowflake, “Snowflake Intelligence and Data Science Agent Launch,” snowflake.com. This trend is pivotal for the data analytics market because it lowers entry barriers for nontechnical users.
Regulatory push for data transparency and reporting
With most U.S. states expected to enforce privacy statutes by 2025, firms are upgrading governance, lineage, and consent models. Seventy-two percent of data leaders fear competitive erosion if AI governance lags. Compliance needs accelerate demand for trackable, policy-aware tooling in the data analytics market.
Restraints Impact Analysis
Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
---|---|---|---|
Escalating data-privacy and cyber-security concerns | -4.6% | Global; acute in regulated industries | Medium term (2–4 years) |
Shortage of skilled analytics talent | -4.0% | Global; pronounced in emerging markets | Short term (≤ 2 years) |
ESG scrutiny of high-carbon analytics loads | -1.7% | Europe, North America; rising worldwide | Long term (≥ 4 years) |
Vendor lock-in risks across analytics stacks | -1.3% | Global | Medium term (2–4 years) |
Source: Mordor Intelligence
Escalating data-privacy and cyber-security concerns
Cybercrime losses are forecast to hit USD 12 trillion by 2025, intensifying scrutiny on analytics pipelines. IBM’s 2025 Threat Index shows credential harvesting in 28% of incidents and data theft in 18%[3]IBM, “IBM Consulting Expands Microsoft Partnership,” ibm.com. Firms deploy AI-driven anomaly detection and format-preserving encryption, but these controls can slow data access, tempering data analytics market momentum.
Shortage of skilled analytics talent
Forty-two percent of analytics leaders cite skill scarcity as the top hurdle. Demand is acute for specialists in machine learning operations and data engineering. AutoML and low-code tools mitigate the gap, yet supervision by qualified professionals remains essential, adding cost and elongating project timelines in the data analytics market.
Segment Analysis
By Analytics Type: Prescriptive capabilities unlock action
Prescriptive Analytics will expand at a 33.5% CAGR, signaling a maturity shift from hindsight to foresight. The segment’s growth reflects enterprise appetite for simulation, optimization, and automated orchestration that advise precise next steps. Descriptive Analytics still commands the largest share at 28% in 2024, underlining its role as the entry point for a data-driven culture. Diagnostic and Predictive Analytics provide intermediate insights into causality and probability, while Cognitive methods parse unstructured inputs such as images and text. This layered progression positions organizations to traverse the analytics continuum without tool sprawl. As AI augmentation spreads, hybrid platforms are merging descriptive dashboards with prescriptive agents, streamlining workflows inside the data analytics market.
Investment in augmented analytics is lowering the expertise threshold. A survey finds 87.9% of firms prioritizing analytics spend for competitive advantage. Seamless progression from descriptive summaries into predictive scoring, and onward to prescriptive simulation, amplifies decision cadence. Consequently, the data analytics industry is converging on unified platforms where insight chains flow without export-import overhead.
Note: Segment shares of all individual segments available upon report purchase
By Solution: Security Intelligence tackles threat evolution
Security Intelligence is poised for a 34.1% CAGR as breach frequency and regulatory pressure converge. Modern solutions embed UEBA, real-time correlation, and playbook automation to curtail mean-time-to-detect. Data Management remains foundational, holding a 25% share because data quality, lineage, and cataloging are prerequisites for any downstream analytics. Security Data Pipeline Platforms, such as Cribl, pre-process, enrich, and route telemetry, controlling storage bloat and improving query economics.
Visualization suites like Domo, Tableau, and Power BI are layering AI to auto-suggest visuals and generate narrative summaries. Warehousing and integration stacks adapt to multi-cloud and on-prem intersections, while business intelligence vendors embed analytics into frontline applications. These evolutions boost stickiness and raise switching costs, reinforcing competitive moats inside the data analytics market.
By Application: Risk and Fraud Management advances defense
Risk and Fraud Management will climb at a 34.2% CAGR as financial crime sophistication escalates and regulators impose heavier sanctions. Banking fraud detection spend is forecast to reach USD 63.2 billion by 2029[4]Savant Labs, “Global Fraud Detection Market Forecast 2029,” savantlabs.com. Customer Relationship Management retains an 18% share because personalized engagement is revenue-critical. Analytics-infused CRM uncovers micro-segments, optimizes campaign timing, and boosts customer lifetime value.
Supply chain applications deploy predictive forecasting to balance inventory and avert disruptions. Marketing analytics sharpen media attribution, and human resource analytics monitor attrition risk. Asset-management teams rely on predictive maintenance to cut downtime. Cross-application AI modules, including NLP for sentiment and anomaly detectors for operations, unify analytic capabilities, deepening integration across the data analytics market.
By Deployment Model: Cloud gains velocity, hybrid prevails
Cloud platforms are expanding at a 33.9% CAGR due to elastic compute, subscription economics, and continuous feature delivery. Yet, on-premises workloads hold a 65% share in 2024 because of data sovereignty rules and legacy application coupling. Public cloud offers rapid onboarding, private cloud secures sensitive datasets, and hybrid architectures blend both, optimizing for workload fit.
Notably, 33% of organizations repatriated at least one workload in 2023 over cost or latency concerns, signaling a more nuanced deployment calculus. Therefore, the data analytics market is coalescing around platform designs that permit seamless workload portability and policy-based orchestration.
By Organization Size: SMEs accelerate participation
SMEs are forecast to rise at a 33.6% CAGR as SaaS pricing, embedded analytics, and self-service interfaces dismantle historical cost barriers. Meanwhile, Large Enterprises command 70% of current spend, leveraging global IT budgets and change-management capacity. Exogenous drivers such as competitive intensity spur adoption, while internal inhibitors like culture and skill deficits slow progress.
Self-service tooling that automates data prep and recommends best-fit visuals is pivotal for SMEs. MDPI research highlights operational gains in SMEs that embed analytics, although financial and talent constraints persist. Embedded analytics inside ERP and CRM systems further softens the learning curve, broadening the reachable audience for vendors in the data analytics market.

Note: Segment shares of all individual segments available upon report purchase
By End-User Industry: Healthcare surges on digital health
Healthcare will register a 34.1% CAGR as EHR digitization, outcome-based reimbursement, and clinical AI adoption intersect. Data volume in the sector is projected to outpace every other vertical by 2025. Information Technology and Telecom, with a 45% share, continues leveraging analytics for network optimization and customer churn mitigation.
BFSI pursues risk scoring and fraud prevention, retail applies recommerce insights for hyper-personalization, and manufacturing employs predictive quality control to shrink scrap rates. Government agencies adopt analytics for policy impact measurement and fraud detection, while energy utilities rely on demand forecasting. These multifaceted deployments reaffirm that the data analytics market delivers horizontal value across all sectors.
Geography Analysis
North America generated 33% of 2024 revenue, underpinned by deep cloud penetration, venture funding, and a dense ecosystem of analytics talent. U.S. firms lead AI patent filings and production deployments, while Canadian banks and hospitals accelerate analytics modernization. Mexico’s manufacturing and retail players invest in analytic supply-chain visibility tools. Privacy regulations are fragmenting; most states will enact bespoke laws by 2025, compelling vendors to embed dynamic compliance controls[5]Osano, “State Privacy Laws Tracker,” osano.com. The data analytics market, therefore, prioritizes configurable policy engines for U.S. clients.
Asia-Pacific is the fastest mover with a 33.7% CAGR through 2030. China channels sovereign tech funds into AI infrastructure, India’s IT-services majors build global analytics delivery centers, and Japan applies analytics within smart-factory initiatives. South Korea focuses on 5G and edge analytics for telecom optimization. ASEAN economies favor cloud-first deployments to sidestep capital outlay, and regional data-center investment is expected to double Latin America’s capacity from USD 5-6 billion in 2023 to USD 8-10 billion by 2029, supporting globally distributed workloads. This momentum cements Asia-Pacific as the high-growth nucleus of the data analytics market.
Europe maintains robust adoption driven by Industry 4.0, fintech innovation, and national AI programs. Germany and the UK lead manufacturing and financial analytics, respectively, while France emphasizes healthcare AI for personalized medicine. GDPR-linked governance rigor elevates demand for privacy-enhancing technologies. The Middle East and Africa are scaling analytics to support diversification initiatives such as Saudi Vision 2030, with telecom and public-sector projects at the forefront. South America sees analytics uptake in financial inclusion and agritech, tempered by macroeconomic volatility. Overall, regional differences center on pace rather than value, validating the universal applicability of the data analytics market.

Competitive Landscape
The data analytics market is moderately consolidated. Incumbent software giants integrate analytics with cloud, ERP, and security stacks, creating platform lock-in and seeking total-addressable-market expansion. IBM’s dedicated Microsoft practice mobilizes 33,000 certified professionals to deliver joint AI and cloud solutions. Such alliances aim to shorten deployment cycles and de-risk large transformations.
Disruptors differentiate through agentic AI and vertical focus. Snowflake’s new agent frameworks allow natural-language queries and automated model creation, challenging traditional BI value propositions. Acquisition remains a principal growth vector: IBM’s Seek AI purchase strengthens conversational analytics, and 9fin’s Bond Radar deal expands real-time fixed-income intelligence. Vendors also curate marketplaces, offering partner extensions that fill functional gaps without direct research and development expense. These dynamics pressure lagging players to innovate or consolidate, sustaining competitive churn inside the data analytics market.
Third-party ecosystems (consultancies, ISVs, hyperscalers) influence buyer decisions by certifying integrations and recommending reference architectures. The resulting vendor landscape rewards those with open APIs, robust governance capabilities, and AI-ready pipelines. As feature parity rises, pricing transparency, service quality, and data-sovereignty assurances emerge as key differentiators.
Data Analytics Industry Leaders
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Accenture plc
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IBM Corporation
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Oracle Corporation
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SAS Institute Inc.
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Capgemini SE
- *Disclaimer: Major Players sorted in no particular order

Recent Industry Developments
- June 2025: Snowflake launched Snowflake Intelligence and Data Science Agent, adding agentic AI for natural-language querying and AutoML workflows.
- June 2025: IBM acquired Seek AI to embed conversational data querying into Watsonx AI Labs.
- May 2025: IBM unveiled a Microsoft Practice with 33,000 certified experts to expedite joint AI and cloud projects.
- May 2025: IBM expanded Watsonx with hybrid integration tools, boosting unstructured data accuracy by 40%.
- March 2025: 9fin purchased Bond Radar to reinforce financial analytics capabilities.
- February 2025: Google Cloud showcased AI-driven data analytics innovations at Next’25, including role-specific agents and autonomous data foundations.
Global Data Analytics Market Report Scope
Data analytics converts raw data into actionable insights. It includes a range of tools, technologies, and processes used to find trends and solve problems by using data. Data analytics can shape business processes, improve decision-making, and foster business growth.
The data analytics market is segmented by type (prescriptive analytics, predictive analytics, customer analytics, descriptive analytics, other types), by solution (security intelligence, data management, data monitoring, data mining, other solutions), by applications (supply chain management, enterprise resource planning, database management, human resource management, other applications), by geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The market sizes and forecasts are provided in terms of value (USD) for all the above segments.
By Analytics Type | Descriptive Analytics | |||
Diagnostic Analytics | ||||
Predictive Analytics | ||||
Prescriptive Analytics | ||||
Cognitive Analytics | ||||
Other Types | ||||
By Solution | Data Management | |||
Data Warehousing and Integration | ||||
Business Intelligence Tools | ||||
Data Mining | ||||
Security Intelligence | ||||
Data Visualization and Dashboarding | ||||
Other Solutions | ||||
By Application | Supply-Chain Management | |||
Customer Relationship Management | ||||
Risk and Fraud Management | ||||
Human Resource Management | ||||
Marketing and Sales Optimisation | ||||
Asset and Operations Management | ||||
Other Applications | ||||
By Deployment Model | On-Premises | |||
Cloud | Public Cloud | |||
Private Cloud | ||||
Hybrid Cloud | ||||
By Organization Size | Small and Medium Enterprises (SMEs) | |||
Large Enterprises | ||||
By End-User Industry | Banking, Financial Services, and Insurance (BFSI) | |||
Healthcare and Life Sciences | ||||
Information Technology (IT) and Telecom | ||||
Retail and E-commerce | ||||
Manufacturing | ||||
Government and Public Sector | ||||
Energy and Utilities | ||||
Others | ||||
By Geography | North America | United States | ||
Canada | ||||
Mexico | ||||
Europe | Germany | |||
United Kingdom | ||||
France | ||||
Italy | ||||
Spain | ||||
Russia | ||||
Rest of Europe | ||||
Asia-Pacific | China | |||
Japan | ||||
South Korea | ||||
India | ||||
ASEAN | ||||
Australia and New Zealand | ||||
Rest of Asia-Pacific | ||||
South America | Brazil | |||
Argentina | ||||
Rest of South America | ||||
Middle East and Africa | Middle East | Saudi Arabia | ||
UAE | ||||
Turkey | ||||
Rest of Middle East | ||||
Africa | South Africa | |||
Nigeria | ||||
Rest of Africa |
Descriptive Analytics |
Diagnostic Analytics |
Predictive Analytics |
Prescriptive Analytics |
Cognitive Analytics |
Other Types |
Data Management |
Data Warehousing and Integration |
Business Intelligence Tools |
Data Mining |
Security Intelligence |
Data Visualization and Dashboarding |
Other Solutions |
Supply-Chain Management |
Customer Relationship Management |
Risk and Fraud Management |
Human Resource Management |
Marketing and Sales Optimisation |
Asset and Operations Management |
Other Applications |
On-Premises | |
Cloud | Public Cloud |
Private Cloud | |
Hybrid Cloud |
Small and Medium Enterprises (SMEs) |
Large Enterprises |
Banking, Financial Services, and Insurance (BFSI) |
Healthcare and Life Sciences |
Information Technology (IT) and Telecom |
Retail and E-commerce |
Manufacturing |
Government and Public Sector |
Energy and Utilities |
Others |
North America | United States | ||
Canada | |||
Mexico | |||
Europe | Germany | ||
United Kingdom | |||
France | |||
Italy | |||
Spain | |||
Russia | |||
Rest of Europe | |||
Asia-Pacific | China | ||
Japan | |||
South Korea | |||
India | |||
ASEAN | |||
Australia and New Zealand | |||
Rest of Asia-Pacific | |||
South America | Brazil | ||
Argentina | |||
Rest of South America | |||
Middle East and Africa | Middle East | Saudi Arabia | |
UAE | |||
Turkey | |||
Rest of Middle East | |||
Africa | South Africa | ||
Nigeria | |||
Rest of Africa |
Key Questions Answered in the Report
What is the current size of the data analytics market?
The data analytics market size stands at USD 82.33 billion in 2025 and is projected to reach USD 345.30 billion by 2030 at a 33.2% CAGR.
Which region grows fastest in the data analytics market through 2030?
Asia-Pacific leads growth with a 33.7% CAGR thanks to aggressive cloud adoption, government AI initiatives, and expanding data-center capacity.
Why are Security Intelligence solutions outpacing other data analytics segments?
Heightened cyber-risk and stricter regulations propel demand for analytics that detect anomalies, automate response, and support compliance, driving a 34.1% CAGR for Security Intelligence.
How are SMEs benefiting from the data analytics market?
Affordable cloud platforms and self-service tools let SMEs deploy analytics without heavy upfront investment, powering a 33.6% CAGR in this segment.
What technology trend most accelerates data analytics adoption?
Integration of agentic AI and machine learning reduces the skills barrier by enabling natural-language querying and automated model creation, speeding enterprise insight generation.
What is the biggest restraint facing the data analytics market?
Escalating privacy and cyber-security concerns, projected to cut CAGR by 4.6 percentage points, force organizations to balance data utility with stringent protection measures.
Page last updated on: June 18, 2025