Business Analytics Solutions Market - Size, Companies & Trends

Name: Business Analytics Solutions Market - Size, Companies & Trends
Creator: Mordor Intelligence
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Business Analytics Market Size and Share

Market Overview

Study Period	2019 - 2030
Market Size (2025)	USD 91 Billion
Market Size (2030)	USD 138.24 Billion
Growth Rate (2025 - 2030)	8.70% CAGR
Fastest Growing Market	Asia Pacific
Largest Market	North America
Market Concentration	Medium
Major Players *Disclaimer: Major Players sorted in no particular order Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

Business Analytics Market (2025 - 2030) — Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

Business Analytics Market Analysis by Mordor Intelligence

The business analytics market is valued at USD 91 billion in 2025 and is forecast to reach USD 138.24 billion by 2030, reflecting an 8.70% CAGR over the period. Cloud-native platforms, AI-driven automation, and a widespread push for digital transformation underpin this expansion. Organizations across industries now embed analytics into day-to-day workflows to uncover inefficiencies, sharpen customer engagement, and shorten decision cycles. The convergence of artificial intelligence with established analytics stacks is shifting the discipline from retrospective reporting toward real-time predictive intelligence, while pervasive cloud adoption lowers entry barriers for firms of every size. Competitive intensity remains lively as incumbent enterprise software vendors revamp portfolios to match the pace set by cloud specialists and AI-first start-ups that promise faster deployment and simpler user experiences. Talent shortages, data-sovereignty rules, and high initial costs continue to temper growth yet have not derailed the structural migration toward data-centric operations.

Key Report Takeaways

By deployment model, the cloud segment captured 65.4% of business analytics market share in 2024 and is expanding at a 10.7% CAGR through 2030.
By analytics type, descriptive analytics held 32.7% of revenue in 2024, while predictive analytics is forecast to grow at an 8.8% CAGR to 2030.
By organization size, large enterprises commanded 59.5% share of the business analytics market size in 2024; small and mid-sized enterprises post the fastest growth at 9.1% CAGR.
By end-user industry, BFSI led with 28.3% revenue share in 2024; healthcare and life sciences is projected to advance at a 9.4% CAGR.
By geography, North America retained 27.4% of global revenue in 2024, whereas Asia Pacific is on track for a 10.3% CAGR.

Global Business Analytics Market Trends and Insights

Drivers Impact Analysis

Driver	(~) % Impact on CAGR Forecast	Geographic Relevance	Impact Timeline
Proliferation of big data and cloud adoption	+2.1%	Global, with North America and Asia-Pacific leading	Medium term (2-4 years)
Need for real-time decision-making	+1.8%	Global, particularly manufacturing and finance sectors	Short term (≤ 2 years)
AI/ML infusion into analytics platforms	+2.3%	North America, Europe, and Asia-Pacific core markets	Medium term (2-4 years)
Regulatory push for data-driven compliance	+1.2%	Europe and North America primarily	Long term (≥ 4 years)
Edge analytics for IoT-heavy industries	+1.4%	Asia-Pacific manufacturing hubs, North America industrial	Medium term (2-4 years)
Privacy-preserving data clean rooms	+0.9%	Global, with early adoption in advertising and healthcare	Long term (≥ 4 years)

Source: Mordor Intelligence

AI and ML infusion into analytics platforms

Artificial intelligence has shifted from a bolt-on feature to a core capability within business analytics platforms. New releases such as Snowflake Cortex and Microsoft 365 Copilot’s Analyst agent interpret natural language, auto-generate SQL, and surface predictive insights that once required a data scientist. ^{[1]Microsoft, “Microsoft 365 Copilot: Analyst Agent,” microsoft.com} Companies adopting these capabilities report 30–50% productivity lifts in marketing, supply-chain, and finance teams. As model training costs fall, platform vendors embed generative AI to widen access and automate data preparation, ushering in an era of “agentic analytics” where autonomous agents orchestrate complex analysis pipelines without human coding.

Proliferation of big data and cloud adoption

Volume, velocity, and variety of data keep rising. More than 6,000 organizations exchange upward of 275 petabytes each week on BigQuery, highlighting how elastic cloud storage and compute have become the default substrate for analytics. ^{[2]Google Cloud, “BigQuery Data Sharing Statistics,” cloud.google.com} Joint innovation programs, such as the five-year agreement between ClickHouse and AWS, accelerate purpose-built solutions for finance and e-commerce workloads. Cloud frameworks also let firms pair localized IoT data processing with centralized dashboards, delivering 10% gains in equipment efficiency and 30% reductions in unplanned downtime in industrial settings.

Need for real-time decision-making

Competitive pressure forces businesses to treat insights as perishables. Insurers use real-time pricing to lift revenue double digits, and transport operators feed live sensor streams into traffic models that predict congestion with near-perfect precision. Edge-enabled plants trim time-to-market by one-quarter and shave hundreds of thousands of dollars off energy bills every month. Retailers similarly lean on streaming pipelines to cut inventory days while raising product availability and customer satisfaction.

Edge analytics for IoT-heavy industries

Manufacturers, utilities, and smart-city operators deploy analytics at the network edge to eliminate latency, preserve bandwidth, and respect data-protection rules. Local models inspect sensor output, flag anomalies, and act automatically. Worldwide edge spending reached USD 232 billion in 2024, and half of enterprises expect to standardize edge workflows by 2025. Secure partnerships among device makers, telcos, and platform providers anchor these projects to ensure encrypted data transfer and automated policy enforcement.

Restraints Impact Analysis

Restraint	(~) % Impact on CAGR Forecast	Geographic Relevance	Impact Timeline
High upfront cost and ROI uncertainty	-1.5%	Global, particularly SMEs in emerging markets	Short term (≤ 2 years)
Talent shortage in advanced analytics	-1.8%	North America and Europe primarily	Medium term (2-4 years)
Data-sovereignty restrictions	-1.1%	Europe, Asia Pacific with cross-border operations	Long term (≥ 4 years)
ESG-data quality gaps	-0.7%	Global, with emphasis on regulated industries	Long term (≥ 4 years)

Source: Mordor Intelligence

Data-sovereignty restrictions

Conflicting rules among GDPR, the CLOUD Act, and emerging national laws force multinationals to architect region-specific data stacks. Deployments must ensure local processing, encrypted transfers, and auditable consent, adding cost and complexity.^{[3]ISACA, “Data-Sovereignty Challenges in Public Cloud,” isaca.org}Sovereign-cloud offerings from hyperscalers and regional providers address the issue, yet organizations still juggle multiple vendors and controls to satisfy regulators without fracturing analytical coherence.

Talent shortage in advanced analytics

Demand for data scientists, ML engineers, and analytics translators exceeds supply. Surveys show three-quarters of professionals expect the shortage to persist, eroding competitiveness. Organizations invest in reskilling, hackathons, and partnerships with universities, yet complex AI initiatives still stall when critical roles remain vacant. Low-code interfaces and automated feature engineering close part of the gap, but specialist talent remains crucial for governance and model-risk oversight.

Segment Analysis

By Deployment Model: Cloud Infrastructure Drives Market Evolution

The cloud segment accounts for 65.4% of 2024 revenue, and its 10.7% CAGR means it will command an even larger slice of the business analytics market size by 2030. Lower capital expenditure, elastic scaling, and rapid integration with data lakes and AI services cement its appeal. Security certifications and automated compliance features now cover finance, healthcare, and government workloads, eroding the last strongholds of on-premise advocates.

On-premise deployments persist where strict latency, legacy integration, or regulatory mandates prevail, but their share recedes every year. Hybrid blueprints, in which sensitive workloads stay behind the firewall while burst processing moves to the cloud, offer a transitional path. Providers bundle migration toolkits, managed services, and consumption-based pricing to nudge hesitant customers toward the cloud, reinforcing its position as both market leader and growth engine.

Business Analytics Market: Market Share by Deployment Model — Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

By Analytics Type: Predictive Intelligence Reshapes Decision-Making

Descriptive analytics retained 32.7% of 2024 revenue, the largest slice of the business analytics market, yet predictive techniques outpace all categories with an 8.8% CAGR. Organizations evolve from “what happened” dashboards to forward-looking models that flag churn risk, optimize inventory, and route maintenance crews before breakdowns occur. Generative AI enhances predictive workflows by auto-coding complex time-series models and surfacing scenario simulations for non-technical users.

Diagnostic analytics serves as a bridge, explaining root causes and feeding features into forecasting algorithms. Prescriptive tools close the loop by recommending the best action under constraints such as budget or staffing. Early success stories like a consumer-products maker saving up to USD 200,000 weekly through optimized production schedules fuel wider adoption. As toolkits mature, predictive and prescriptive layers will jointly convert historical data into automated, context-aware decisions across functions.

By Organization Size: SME Growth Democratizes Analytics Access

Large enterprises continue to drive volume, holding 59.5% of 2024 revenue. They invest heavily in multi-cloud data fabrics, explainable AI, and governance frameworks that scale across business units. Yet the small and mid-sized segment grows fastest at 9.1% CAGR, propelled by low-code platforms, bundled data models, and tiered subscriptions that align with tight budgets. Customer programs granting service credits and guided onboarding compress deployment cycles to weeks rather than months.

This democratization reshapes vendor go-to-market approaches. Tools now default to natural-language queries, automated insights, and embedded training to accommodate lean IT teams. At the same time, large enterprises demand advanced features such as multi-modal data integration, lineage tracking, and policy-driven access control, sustaining a two-speed market in which ease of use and enterprise-grade governance coexist.

Business Analytics Market: Market Share by Organisation Size — Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

By End-User Industry: Healthcare Transformation Accelerates Growth

BFSI institutions captured 28.3% of 2024 spending as risk analytics, fraud detection, and regulatory reporting remain core mandates. They pursue omnichannel customer views and real-time credit scoring to differentiate services. Healthcare and life sciences, however, post the strongest outlook at 9.4% CAGR. Hospitals use predictive models to balance bed capacity and automate inventory allocation, while pharmaceutical firms deploy AI to streamline clinical-trial recruitment and optimize supply chains.

Manufacturing uses edge analytics to raise overall equipment effectiveness by double digits, and retailers employ demand forecasting to cut stockouts and markdowns. Telecom operators analyze network telemetry to predict outages and upsell value-added services, whereas utilities apply predictive maintenance to grids and pipelines. Public-sector agencies embrace data platforms for tax compliance and citizen services, while energy producers monitor emissions to meet net-zero targets.

Geography Analysis

North America holds 27.4% of 2024 revenue thanks to a mature technology ecosystem, abundant talent, and early cloud adoption. Enterprises refine existing platforms with AI accelerators, streaming pipelines, and automated governance, squeezing incremental efficiency from established data assets. The United States leads spending, and Canada leverages analytics in natural-resources and financial-services verticals. Mexico adopts cloud platforms to support export-oriented manufacturing and cross-border logistics.

Asia Pacific is the fastest-growing region at a 10.3% CAGR, fueled by government AI strategies, widespread mobile adoption, and greenfield cloud deployments. China commands 37.5% of the regional business analytics market, backed by large-scale digital payment ecosystems and industrial upgrade programs. High-growth economies such as Vietnam and the Philippines exceed 19% annual expansion as SMEs embrace SaaS analytics to leapfrog legacy systems. India, Japan, South Korea, and Thailand channel public-sector grants into workforce upskilling and data-ecosystem development, creating fertile ground for platform vendors.

Europe advances steadily underpinned by strong privacy regulations and industry digitization funding. Germany, France, and the United Kingdom deploy analytics for manufacturing efficiency and financial compliance, while southern nations expand tourism and retail analytics use cases. Sovereign-cloud frameworks and privacy-enhancing technologies address GDPR-driven demands. The Middle East and Africa benefit from smart-city agendas, especially in the Gulf states, whereas South America gains traction through cloud uptake in Brazil and Argentina, although infrastructure gaps and currency volatility temper the slope of adoption

Business Analytics Market CAGR (%), Growth Rate by Region — Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

Competitive Landscape

The business analytics market features moderate fragmentation. Top five providers account for roughly 55% of revenue, leaving a sizeable long-tail of niche specialists. Cloud hyperscalers such as AWS, Google Cloud, and Microsoft accelerate feature velocity through integrated AI services and managed data fabrics. Independent data-platform leaders Snowflake and Databricks expand ecosystems via venture arms, strategic investments, and industry solution bundles. Legacy enterprise vendors SAP, Oracle, and IBM embed AI and natural-language querying into established suites to defend installed bases.

Competition intensifies around three axes. First, time-to-value: self-service tools and automated ingestion shrink deployment from quarters to weeks. Second, unified governance: buyers insist that lineage, quality, and policy controls travel with data across clouds. Third, vertical depth: vendors pre-package financial-crime models, patient-risk scores, or production-line templates to reduce customization. Start-ups differentiate through specialist AI agents, causal inference engines, or privacy-preserving analytics, often partnering with larger platforms for distribution.

Mergers, investments, and product launches underscore the race to build end-to-end stacks. Cisco moved to acquire Splunk for unified observability and security analytics. Fivetran purchased Census to blend ETL and reverse-ETL workflows into one pipeline. Databricks took a stake in Omni to streamline BI on its Lakehouse platform. Providers also form multi-year alliances ClickHouse with AWS, for instance to co-engineer high-performance solutions for regulated industries. These actions signal ongoing consolidation even as new entrants continue to surface.

Business Analytics Industry Leaders

Oracle Corporation
IBM Corporation
SAP SE
Microsoft Corporation
Tibco Software Inc.
*Disclaimer: Major Players sorted in no particular order

Business Analytics Market Concentration — Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

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Recent Industry Developments

June 2025: ClickHouse entered a five-year strategic collaboration agreement with AWS to integrate ClickHouse Cloud with AWS services for real-time analytics solutions in finance and e-commerce.
June 2025: Data Poem launched an AI large causal model aimed at improving mission-critical decision-making for enterprises.
May 2025: Fivetran agreed to acquire Census, creating an end-to-end data movement platform with more than 900 connectors.
May 2025: Press Ganey Forsta acquired InMoment to expand AI-driven experience measurement for 43,000 clients.
April 2025: Crisp bought Atheon Analytics and ClearBox Analytics, adding 120 customers to its retail data platform.

Table of Contents for Business Analytics Industry Report

1. INTRODUCTION

1.1 Study Assumptions and Market Definition
1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

4.1 Market Overview
4.2 Market Drivers
- 4.2.1 Proliferation of big data and cloud adoption
- 4.2.2 Need for real-time decision-making
- 4.2.3 AI/ML infusion into analytics platforms
- 4.2.4 Regulatory push for data-driven compliance
- 4.2.5 Edge analytics for IoT-heavy industries
- 4.2.6 Privacy-preserving data clean rooms
4.3 Market Restraints
- 4.3.1 High upfront cost and ROI uncertainty
- 4.3.2 Talent shortage in advanced analytics
- 4.3.3 Data-sovereignty restrictions
- 4.3.4 ESG-data quality gaps
4.4 Supply-Chain Analysis
4.5 Regulatory Landscape
4.6 Technological Outlook
4.7 Porter's Five Forces Analysis
- 4.7.1 Bargaining Power of Suppliers
- 4.7.2 Bargaining Power of Buyers
- 4.7.3 Threat of New Entrants
- 4.7.4 Threat of Substitutes
- 4.7.5 Intensity of Competitive Rivalry
4.8 Assesment of Macroeconomic Factors on the Market

5. MARKET SIZE AND GROWTH FORECASTS (VALUE)

5.1 By Deployment Model
- 5.1.1 On-Premise
- 5.1.2 Cloud
5.2 By Analytics Type
- 5.2.1 Descriptive
- 5.2.2 Diagnostic
- 5.2.3 Predictive
- 5.2.4 Prescriptive
5.3 By Organisation Size
- 5.3.1 Large Enterprises
- 5.3.2 Small and Mid-sized Enterprises (SMEs)
5.4 By End-user Industry
- 5.4.1 Banking, Financial Services and Insurance (BFSI)
- 5.4.2 Healthcare and Life Sciences
- 5.4.3 Manufacturing
- 5.4.4 Retail and E-commerce
- 5.4.5 Telecom and IT
- 5.4.6 Government and Public Sector
- 5.4.7 Energy and Utilities
- 5.4.8 Others
5.5 By Geography
- 5.5.1 North America
- 5.5.1.1 United States
- 5.5.1.2 Canada
- 5.5.1.3 Mexico
- 5.5.2 South America
- 5.5.2.1 Brazil
- 5.5.2.2 Argentina
- 5.5.2.3 Rest of South America
- 5.5.3 Europe
- 5.5.3.1 Germany
- 5.5.3.2 United Kingdom
- 5.5.3.3 France
- 5.5.3.4 Italy
- 5.5.3.5 Spain
- 5.5.3.6 Rest of Europe
- 5.5.4 Asia-Pacific
- 5.5.4.1 China
- 5.5.4.2 Japan
- 5.5.4.3 India
- 5.5.4.4 South Korea
- 5.5.4.5 Southeast Asia
- 5.5.4.6 Rest of Asia-Pacific
- 5.5.5 Middle East and Africa
- 5.5.5.1 Middle East
- 5.5.5.1.1 Saudi Arabia
- 5.5.5.1.2 United Arab Emirates
- 5.5.5.1.3 Turkey
- 5.5.5.1.4 Rest of Middle East
- 5.5.5.2 Africa
- 5.5.5.2.1 South Africa
- 5.5.5.2.2 Nigeria
- 5.5.5.2.3 Egypt
- 5.5.5.2.4 Rest of Africa

6. COMPETITIVE LANDSCAPE

6.1 Market Concentration
6.2 Strategic Moves and Funding Activity
6.3 Market Share Analysis
6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
- 6.4.1 Microsoft Corp.
- 6.4.2 SAP SE
- 6.4.3 Oracle Corp.
- 6.4.4 IBM Corp.
- 6.4.5 Salesforce Inc. (Tableau)
- 6.4.6 SAS Institute Inc.
- 6.4.7 TIBCO Software Inc.
- 6.4.8 Qlik Tech Intl.
- 6.4.9 MicroStrategy Inc.
- 6.4.10 Infor Inc.
- 6.4.11 Google LLC (Looker)
- 6.4.12 Amazon Web Services (QuickSight)
- 6.4.13 Domo Inc.
- 6.4.14 Sisense Ltd.
- 6.4.15 ThoughtSpot Inc.
- 6.4.16 Alteryx Inc.
- 6.4.17 Zoho Corp. (Zoho Analytics)
- 6.4.18 Board International
- 6.4.19 GoodData Corp.
- 6.4.20 Yellowfin BI
- 6.4.21 Pyramid Analytics
- 6.4.22 Logi Analytics (InsightSoftware)
- 6.4.23 Teradata Corp.
- 6.4.24 Informatica Inc.
- 6.4.25 Palantir Technologies
- 6.4.26 Snowflake Inc.
- 6.4.27 Databricks Inc.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

7.1 White-space and Unmet-need Assessment

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Global Business Analytics Market Report Scope

Business analytics refers to the technologies, practices, and skills for continual step-by-step exploration and investigation of the past performance of the businesses to gain various insights and drive business strategy and planning accordingly. Companies use business analytics software for query reporting and analysis tools, advanced and predictive analytics, location intelligence, content analytics, data warehousing platforms, and enterprise performance management.

The business analytics market is segmented by Deployment (Cloud, On-premise, and Hybrid), End-user Industry (BFSI, Healthcare, Manufacturing, Retail, IT, and Telecom), and Geography (North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa). The market sizes and forecasts are provided in terms of value in USD for all the above segments.

By Deployment Model	On-Premise
	Cloud
By Analytics Type	Descriptive
	Diagnostic
	Predictive
	Prescriptive
By Organisation Size	Large Enterprises
	Small and Mid-sized Enterprises (SMEs)
By End-user Industry	Banking, Financial Services and Insurance (BFSI)
	Healthcare and Life Sciences
	Manufacturing
	Retail and E-commerce
	Telecom and IT
	Government and Public Sector
	Energy and Utilities
	Others

By Geography	North America	United States
		Canada
		Mexico

	South America	Brazil
		Argentina
		Rest of South America

	Europe	Germany
		United Kingdom
		France
		Italy
		Spain
		Rest of Europe

	Asia-Pacific	China
		Japan
		India
		South Korea
		Southeast Asia
		Rest of Asia-Pacific

	Middle East and Africa	Middle East	Saudi Arabia
			United Arab Emirates
			Turkey
			Rest of Middle East

		Africa	South Africa
			Nigeria
			Egypt
			Rest of Africa

By Deployment Model

On-Premise

Cloud

By Analytics Type

Descriptive

Diagnostic

Predictive

Prescriptive

By Organisation Size

Large Enterprises

Small and Mid-sized Enterprises (SMEs)

By End-user Industry

Banking, Financial Services and Insurance (BFSI)

Healthcare and Life Sciences

Manufacturing

Retail and E-commerce

Telecom and IT

Government and Public Sector

Energy and Utilities

Others

By Geography

North America	United States
	Canada
	Mexico
South America	Brazil
	Argentina
	Rest of South America
Europe	Germany
	United Kingdom
	France
	Italy
	Spain
	Rest of Europe
Asia-Pacific	China
	Japan
	India
	South Korea
	Southeast Asia
	Rest of Asia-Pacific

Middle East and Africa	Middle East	Saudi Arabia
		United Arab Emirates
		Turkey
		Rest of Middle East

	Africa	South Africa
		Nigeria
		Egypt
		Rest of Africa

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Key Questions Answered in the Report

What is the current value of the business analytics market and its growth outlook?

The business analytics market stands at USD 91 billion in 2025 and is expected to reach USD 138.24 billion by 2030, equating to an 8.70% CAGR.

Which deployment model holds the largest business analytics market share?

Cloud deployment leads with 65.4% share in 2024 and is also the fastest-growing segment at a 10.7% CAGR.

Which analytics type is projected to grow fastest through 2030?

Predictive analytics shows the strongest momentum, expanding at an 8.8% CAGR as firms shift from descriptive reporting to forward-looking insights.

Why is Asia Pacific viewed as the growth engine for business analytics?

Government AI initiatives, rapid cloud adoption, and strong digital-economy expansion drive a regional CAGR of 10.3%, the highest worldwide.

What is the primary restraint hindering wider analytics adoption?

A persistent talent shortage in advanced analytics roles subtracts an estimated 1.8 percentage points from potential CAGR, delaying projects and raising costs.

Page last updated on: July 7, 2025