What Impact Has Unbundling Had on Smaller Research Providers?

July 28, 2026 By Yodaplus

Research unbundling fundamentally changed how investment research is bought and sold, creating both challenges and opportunities for smaller research providers. Before MiFID II came into effect in 2018, research costs were bundled into trading commissions. Once the regulation required research and execution costs to be paid separately, asset managers became far more selective about where they spent their research budgets.

For independent and boutique research firms, this meant competing directly on quality, expertise, and measurable value rather than relying on long-standing trading relationships. While some struggled with shrinking budgets, others found new opportunities by offering differentiated equity research, niche sector expertise, and technology-enabled services.

What Is Research Unbundling?

MiFID II introduced research unbundling to improve transparency in financial markets.

Instead of receiving research as part of brokerage commissions, investment firms now pay separately for:

• Investment research
• Trade execution

The objective was to:

• Increase transparency
• Reduce conflicts of interest
• Improve accountability for research spending
• Encourage better allocation of research budgets

Although the regulation primarily applies in Europe, it has influenced research purchasing practices across global financial markets.

The Immediate Impact on Smaller Research Providers

Research unbundling changed the competitive landscape almost overnight.

Instead of maintaining broad relationships with numerous research firms, many asset managers reduced the number of providers they worked with.

According to Coalition Greenwich, European institutional investors reduced external research spending by approximately 20–30% in the years following MiFID II. This significantly affected smaller firms that depended on recurring research subscriptions.

For boutique providers without clearly differentiated offerings, maintaining revenue became increasingly difficult.

Research Budgets Became More Competitive

Before MiFID II, research spending was less visible because it was embedded within trading commissions.

After unbundling, research became a direct expense.

Investment firms began asking:

• Does this research improve investment decisions?
• Is this analyst adding unique insights?
• Can similar information be obtained elsewhere?

As a result, only research providers that consistently demonstrated value retained or expanded their client base.

Independent Research Became More Valuable

Although budgets declined, demand for specialised research increased.

Large investment banks often focus on widely followed companies.

This created opportunities for independent firms covering:

• Small-cap companies
• Emerging industries
• Regional markets
• ESG investing
• Alternative data
• Sector-specific themes

Many investors preferred these differentiated perspectives over generic market coverage.

Higher Expectations for Research Quality

Today, investment research is evaluated far more rigorously.

Buy-side firms increasingly assess:

• Accuracy of forecasts
• Original analysis
• Financial modelling quality
• Industry expertise
• Timeliness
• Accessibility of analysts

This emphasis on quality has benefited firms capable of producing high-value equity research reports consistently.

Technology Has Changed the Economics

Smaller firms often have limited analyst teams.

To remain competitive, many are adopting technology to increase productivity.

This includes:

• Equity research automation
• AI-powered financial analysis
• Automated data collection
• Financial modelling
• Report drafting
• Workflow automation

Instead of increasing headcount, firms can produce more comprehensive research with existing teams.

AI Is Helping Boutique Firms Compete

Artificial intelligence is reducing many of the operational disadvantages faced by smaller providers.

Modern AI for equity research can support analysts by:

• Collecting financial statements
• Summarising earnings releases
• Updating valuation models
• Performing peer comparisons
• Monitoring market news
• Drafting initial research reports

This allows analysts to focus on interpretation, company meetings, investment theses, and client engagement.

According to Deloitte, AI could automate 30–40% of repetitive knowledge work in financial services, significantly improving productivity without replacing experienced analysts.

New Revenue Models Are Emerging

Many boutique research providers are expanding beyond traditional subscriptions.

Examples include:

• Bespoke research projects
• Premium analyst access
• Corporate advisory
• Industry intelligence
• Data licensing
• API-based research delivery

These diversified business models reduce dependence on a limited number of institutional subscriptions.

Technology Levels the Playing Field

Cloud computing, AI, and automation have lowered the cost of producing institutional-quality research.

A small team equipped with modern research technology can now deliver:

• Comprehensive analyst reports
• Advanced financial modelling
• Faster report updates
• Better data visualisation
• Improved collaboration

This has narrowed the operational gap between boutique providers and larger research organizations.

Why Investors Still Need Independent Research

Despite consolidation, independent research continues to play an important role.

Investors often rely on boutique firms for:

• Alternative viewpoints
• Undercovered companies
• Deep sector expertise
• Faster thematic analysis
• Independent opinions free from investment banking influence

As markets become more complex, differentiated research remains valuable.

What Comes Next?

Research spending may remain disciplined, but demand for high-quality insights is unlikely to disappear.

The next generation of successful research firms will likely combine:

• Human expertise
• AI-assisted analysis
• Workflow automation
• Alternative datasets
• Faster report generation

Rather than replacing analysts, AI enables them to produce more research, analyse more companies, and respond more quickly to changing market conditions.

Conclusion

Research unbundling transformed the economics of the investment research industry by making research providers compete directly on quality, expertise, and measurable outcomes. While many smaller firms faced tighter budgets and greater pricing pressure, others adapted by specialising in niche coverage, improving research quality, and embracing equity research automation. As AI continues to reshape financial services, boutique firms have an opportunity to deliver faster, more insightful equity research reports while operating more efficiently.

Yodaplus Agentic AI Services for Financial Operations helps research firms, asset managers, investment analysts, and portfolio managers modernize their research workflows through intelligent automation. By combining Agentic AI with advanced financial analysis, Yodaplus automates data collection, peer benchmarking, valuation analysis, financial modelling, and report generation, enabling teams to produce institutional-quality research faster, reduce manual effort, and focus on delivering differentiated investment insights that create real value for clients.

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