Business Intelligence Market
PUBLISHED: 2025 ID: SMRC32745
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Business Intelligence Market

Business Intelligence Market Forecasts to 2032 – Global Analysis By Component (Platforms, Solutions and Services), Deployment Mode, Organization Size, Business Function, End User and By Geography

4.9 (75 reviews)
4.9 (75 reviews)
Published: 2025 ID: SMRC32745

Due to ongoing shifts in global trade and tariffs, the market outlook will be refreshed before delivery, including updated forecasts and quantified impact analysis. Recommendations and Conclusions will also be revised to offer strategic guidance for navigating the evolving international landscape.
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According to Stratistics MRC, the Global Business Intelligence Market is accounted for $35.14 billion in 2025 and is expected to reach $68.05 billion by 2032 growing at a CAGR of 9.9% during the forecast period. Business Intelligence (BI) encompasses the tools, processes, and analytical methods organizations use to gather, combine, examine, and present data to support smarter business decisions. It helps companies recognize patterns, streamline workflows, elevate customer satisfaction, and improve operational performance by converting complex datasets into actionable insights. BI platforms enable monitoring of business metrics, predictive analysis, and rapid responses to evolving market conditions. As data grows rapidly, BI plays a crucial role in delivering real-time visibility, guiding strategic initiatives, and enabling evidence-based decision-making across various functions. By fostering agility and innovation, BI empowers leaders to act confidently, backed by accurate and timely analytical information.

According to IDC, data shows their Worldwide Semiannual Software Tracker covers 52 geographies and 79 discrete software market segments, providing historical performance and five-year forecasts. It highlights the transition from traditional on-premises deployments to public cloud services, which is a key driver of Business Intelligence adoption.

Market Dynamics:

Driver:

Growing demand for data-driven decision-making

Rising dependence on data-driven decision-making significantly fuels the Business Intelligence market, as enterprises seek reliable insights for strategic and operational improvements. With immense data generated daily, organizations need BI solutions to uncover trends, evaluate performance, and enhance agility. Capabilities such as real-time reporting, forecasting, and interactive dashboards enable executives to respond quickly and accurately to changing conditions. As competition grows, companies increasingly embrace analytical planning to minimize uncertainty, boost efficiency, and capitalize on market opportunities. Ongoing digital transformation further accelerates BI adoption, empowering businesses with clearer visibility, smarter processes, and improved decision-making outcomes built on consistent, well-structured analytical insights.

Restraint:

High implementation and maintenance costs

The high cost of implementing and managing Business Intelligence solutions serves as a major barrier, particularly for smaller firms with tight financial resources. BI deployments involve expenses for software procurement, data management tools, expert personnel, and periodic system updates. Organizations must also invest in hardware improvements, employee training, and technical support to sustain these platforms. As data expands, ongoing maintenance becomes increasingly expensive, limiting scalability and long-term use. These financial demands make BI adoption difficult for budget-restricted sectors. Although BI brings strong strategic benefits, many companies hesitate to adopt it due to rising costs that prevent full utilization of advanced analytical capabilities.

Opportunity:

Rising adoption of self-service BI tools

Increasing demand for self-service BI solutions creates a major opportunity in the Business Intelligence market, driven by organizations wanting tools that enable non-technical staff to analyze data easily. These platforms minimize dependence on IT departments, speed up decision-making, and promote data accessibility throughout the enterprise. Self-service BI advances data democratization by allowing employees to interact with dashboards, design reports, and identify patterns independently. With businesses prioritizing responsiveness and real-time insights, the need for easy-to-use BI tools continues to grow. This trend improves operational efficiency and strengthens a data-driven mindset, benefiting vendors offering customizable and intuitive analytics solutions.

Threat:

Intense market competition and pricing pressure

Rising competition and pricing pressure represent major threats to the Business Intelligence industry, as many vendors now offer comparable analytics tools at reduced prices. Established brands face strong challenges from newer players introducing affordable, cloud-based, and user-friendly BI solutions. This competitive environment forces providers to cut prices, lowering profitability while requiring ongoing investment in product upgrades. With customers expecting sophisticated features at minimal cost, differentiation becomes increasingly difficult. Rapid innovation also accelerates product obsolescence, making it harder for vendors to retain their competitive edge. These challenges contribute to shrinking margins, market saturation, and long-term financial uncertainty within the BI landscape.

Covid-19 Impact:

COVID-19 created a substantial impact on the Business Intelligence market by accelerating the need for advanced analytics during times of uncertainty. Organizations increasingly depended on BI platforms to track supply chain issues, evaluate shifting customer demand, and manage financial pressures. The rise of remote work further boosted the adoption of cloud-based BI and real-time reporting tools. Although some companies postponed BI investments due to reduced budgets, the crisis reinforced the value of data transparency and quick decision-making. Ultimately, the pandemic strengthened long-term demand for BI solutions, as businesses recognized their importance in supporting adaptive operations, strategic forecasting, and organizational resilience.

The solutions segment is expected to be the largest during the forecast period

The solutions segment is expected to account for the largest market share during the forecast period because organizations rely heavily on integrated analytics platforms that combine reporting, dashboarding, and visualization tools. These solutions help enterprises unify data across departments, improve insight accuracy, and access real-time business performance metrics. Companies increasingly depend on BI solutions to streamline processes, automate analytical tasks, and strengthen strategic decision-making. Growing interest in predictive modeling, trend analysis, and customizable insights continues to expand the segment’s importance. As businesses accelerate digital transformation, BI solutions remain vital for enhancing data accessibility, optimizing operations, and enabling employees at all levels to make smarter, informed decisions.

The customer analytics segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the customer analytics segment is predicted to witness the highest growth rate because businesses are prioritizing deeper understanding of customer preferences, behavior, and engagement. Using BI solutions, companies assess customer journeys, buying habits, sentiment patterns, and performance across digital channels to improve targeting and enhance satisfaction. The surge in online activity, mobile usage, and social media interactions increases the need for real-time customer insight. These analytics help organizations refine marketing efforts, prevent churn, and deliver personalized experiences. As competition intensifies and customer expectations rise, enterprises adopt advanced customer-focused BI tools, making Customer Analytics the most rapidly growing segment within the BI market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, supported by a well-developed digital ecosystem and strong adoption of modern analytics technologies. Companies across various sectors increasingly depend on BI platforms to improve strategic decisions, optimize operations, and deliver personalized customer experiences. The region benefits from rapid acceptance of cloud analytics, AI-powered insights, and advanced visualization tools. Sustained technology investment, mature enterprise data strategies, and the demand for real-time insights continue to reinforce its market lead. As organizations accelerate predictive analytics, automation, and integrated data management initiatives, North America maintains its position as the central hub for BI advancements and large-scale deployments.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to accelerating digital transformation, expanding data ecosystems, and growing reliance on analytics-driven decisions. Businesses across major economies, including India, China, Japan, and South Korea, are increasingly adopting advanced BI solutions to enhance efficiency, monitor performance, and strengthen customer engagement. The region’s growth is fueled by expanding cloud penetration, supportive government programs, and rising interest in AI-powered analytics. The rapid scaling of SMEs, along with booming sectors such as e-commerce, manufacturing, and fintech, further boosts adoption. These factors collectively establish Asia-Pacific as the region with the highest growth rate in BI adoption.

Key players in the market

Some of the key players in Business Intelligence Market include Microsoft, Salesforce, Google, Oracle, Qlik, TIBCO, Sisense, GoodData, Birst, PwC, Capgemini, Accenture, IBM, SAS Institute and Domo.

Key Developments:

In November 2025, IBM and Atruvia AG have sealed a long-term collaboration that paves the way for sustainable and state-of-the-art IT platforms for the banking of tomorrow.  Atruvia will use IBM z17, which was announced earlier this year, as a cornerstone supports its mission critical operations including the core banking system.

In September 2025, Microsoft and OpenAI have reached a non-binding agreement with Microsoft to restructure its for-profit arm into a Public Benefit Corporation (PBC), a move that could pave the way for the AI startup to raise new funding and eventually go public. In a blog post, OpenAI Board Chairman Bret Taylor explained that under the new arrangement, OpenAI’s nonprofit parent will continue to exist and maintain control over the company’s operations.

In August 2025, Accenture has agreed to acquire CyberCX, a leading privately-owned cybersecurity services provider serving both private and public sector organizations across Australia, New Zealand and internationally. The move represents Accenture’s largest cybersecurity acquisition to date and will significantly bolster Accenture’s cybersecurity services in Asia Pacific.

Components Covered:
• Platforms
• Solutions
• Services

Deployment Modes Covered:
• On-Premise
• Cloud

Organization Sizes Covered:
• Large Enterprises
• Small & Medium Enterprises (SMEs)

Business Functions Covered:
• Finance
• Human Resources (HR)
• Operations & Supply Chain
• Customer Analytics

End Users Covered:
• Banking, Financial Services & Insurance (BFSI)
• IT & Telecom
• Healthcare & Life Sciences
• Retail & E-commerce
• Manufacturing
• Government & Public Sector
• Education
• Energy & Utilities

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan       
o China       
o India       
o Australia 
o New Zealand
o South Korea
o Rest of Asia Pacific   
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary        
         
2 Preface        
2.1 Abstract       
2.2 Stake Holders       
2.3 Research Scope       
2.4 Research Methodology       
  2.4.1 Data Mining      
  2.4.2 Data Analysis      
  2.4.3 Data Validation      
  2.4.4 Research Approach      
2.5 Research Sources       
  2.5.1 Primary Research Sources      
  2.5.2 Secondary Research Sources      
  2.5.3 Assumptions      
         
3 Market Trend Analysis        
3.1 Introduction       
3.2 Drivers       
3.3 Restraints       
3.4 Opportunities       
3.5 Threats       
3.6 End User Analysis       
3.7 Emerging Markets       
3.8 Impact of Covid-19       
         
4 Porters Five Force Analysis        
4.1 Bargaining power of suppliers       
4.2 Bargaining power of buyers       
4.3 Threat of substitutes       
4.4 Threat of new entrants       
4.5 Competitive rivalry       
         
5 Global Business Intelligence Market, By Component        
5.1 Introduction       
5.2 Platforms       
5.3 Solutions       
5.4 Services       
         
6 Global Business Intelligence Market, By Deployment Mode        
6.1 Introduction       
6.2 On-Premise       
6.3 Cloud       
         
7 Global Business Intelligence Market, By Organization Size        
7.1 Introduction       
7.2 Large Enterprises       
7.3 Small & Medium Enterprises (SMEs)       
         
8 Global Business Intelligence Market, By Business Function        
8.1 Introduction       
8.2 Finance       
8.3 Human Resources (HR)       
8.4 Operations & Supply Chain       
8.5 Customer Analytics       
         
9 Global Business Intelligence Market, By End User        
9.1 Introduction       
9.2 Banking, Financial Services & Insurance (BFSI)       
9.3 IT & Telecom       
9.4 Healthcare & Life Sciences       
9.5 Retail & E-commerce       
9.6 Manufacturing       
9.7 Government & Public Sector       
9.8 Education       
9.9 Energy & Utilities       
         
10 Global Business Intelligence Market, By Geography        
10.1 Introduction       
10.2 North America       
  10.2.1 US      
  10.2.2 Canada      
  10.2.3 Mexico      
10.3 Europe       
  10.3.1 Germany      
  10.3.2 UK      
  10.3.3 Italy      
  10.3.4 France      
  10.3.5 Spain      
  10.3.6 Rest of Europe      
10.4 Asia Pacific       
  10.4.1 Japan      
  10.4.2 China      
  10.4.3 India      
  10.4.4 Australia      
  10.4.5 New Zealand      
  10.4.6 South Korea      
  10.4.7 Rest of Asia Pacific      
10.5 South America       
  10.5.1 Argentina      
  10.5.2 Brazil      
  10.5.3 Chile      
  10.5.4 Rest of South America      
10.6 Middle East & Africa       
  10.6.1 Saudi Arabia      
  10.6.2 UAE      
  10.6.3 Qatar      
  10.6.4 South Africa      
  10.6.5 Rest of Middle East & Africa      
         
11 Key Developments        
11.1 Agreements, Partnerships, Collaborations and Joint Ventures       
11.2 Acquisitions & Mergers       
11.3 New Product Launch       
11.4 Expansions       
11.5 Other Key Strategies       
         
12 Company Profiling        
12.1 Microsoft        
12.2 Salesforce       
12.3 Google       
12.4 Oracle        
12.5 Qlik       
12.6 TIBCO       
12.7 Sisense       
12.8 GoodData       
12.9 Birst       
12.10 PwC       
12.11 Capgemini       
12.12 Accenture       
12.13 IBM        
12.14 SAS Institute       
12.15 Domo       
         
List of Tables         
1 Global Business Intelligence Market Outlook, By Region (2024-2032) ($MN)        
2 Global Business Intelligence Market Outlook, By Component (2024-2032) ($MN)        
3 Global Business Intelligence Market Outlook, By Platforms (2024-2032) ($MN)        
4 Global Business Intelligence Market Outlook, By Solutions (2024-2032) ($MN)        
5 Global Business Intelligence Market Outlook, By Services (2024-2032) ($MN)        
6 Global Business Intelligence Market Outlook, By Deployment Mode (2024-2032) ($MN)        
7 Global Business Intelligence Market Outlook, By On-Premise (2024-2032) ($MN)        
8 Global Business Intelligence Market Outlook, By Cloud (2024-2032) ($MN)        
9 Global Business Intelligence Market Outlook, By Organization Size (2024-2032) ($MN)        
10 Global Business Intelligence Market Outlook, By Large Enterprises (2024-2032) ($MN)        
11 Global Business Intelligence Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)        
12 Global Business Intelligence Market Outlook, By Business Function (2024-2032) ($MN)        
13 Global Business Intelligence Market Outlook, By Finance (2024-2032) ($MN)        
14 Global Business Intelligence Market Outlook, By Human Resources (HR) (2024-2032) ($MN)        
15 Global Business Intelligence Market Outlook, By Operations & Supply Chain (2024-2032) ($MN)        
16 Global Business Intelligence Market Outlook, By Customer Analytics (2024-2032) ($MN)        
17 Global Business Intelligence Market Outlook, By End User (2024-2032) ($MN)        
18 Global Business Intelligence Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)        
19 Global Business Intelligence Market Outlook, By IT & Telecom (2024-2032) ($MN)        
20 Global Business Intelligence Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)        
21 Global Business Intelligence Market Outlook, By Retail & E-commerce (2024-2032) ($MN)        
22 Global Business Intelligence Market Outlook, By Manufacturing (2024-2032) ($MN)        
23 Global Business Intelligence Market Outlook, By Government & Public Sector (2024-2032) ($MN)        
24 Global Business Intelligence Market Outlook, By Education (2024-2032) ($MN)        
25 Global Business Intelligence Market Outlook, By Energy & Utilities (2024-2032) ($MN)        
         
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.        

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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