The market for AI in data quality is growing at 22.9% annually - yet most business intelligence (BI) teams still spend up to 60% of their time on data wrangling. That's one of the key findings from Zyte’s 2026 Web Scraping Industry Report.
The new research shows that leading data users like BI teams are increasingly able to buy data outcomes from AI-powered platforms, rather than build their infrastructure for the task. This is the key to unlocking the BI function's full potential and demonstrating its value to the organization.
2026 Web Scraping Industry Report
Insights and 26 actionable recommendations for data-gathering strategy this year.
Buy data outcomes, not infrastructure
For years, the BI function either commissioned building of its own web data pipelines or bought from data vendors boasting infrastructure prowess. Both approaches carry the same problems: high cost and quality that’s hard to maintain. Data sources break frequently, while cost structures can be opaque.
According to the 2026 Web Scraping Industry Report, this model is becoming obsolete. Outcome-based scraping tools from leading providers now deliver ~98% success rates on the most difficult data sources, have quality assurance baked in and can boast crucial compliance. Meanwhile, the new wave of solutions costs less than the engineering time a data team typically spends on maintaining its own infrastructure.
This shift is already happening. The industry is migrating from DIY to managed platforms at scale, and it’s easy to see why. The benefits aren’t just cost and quality but also, predictability:
You know what you're getting and paying for.
You can forecast data availability and plan your analytics roadmap accordingly.
For a data-driven BI function, that's transformative.
Access higher-quality web data faster with AI
Here's another thing that’s changing in 2026: AI is transforming how web data is extracted and validated. The AI-based web scraping market is projected to reach $3.16 billion by 2029, growing at 39.4% annually, according to a recent analysis by Technavio. The mist of AI hype has parted and now the market is voting with its wallet
We now see AI enhancing every stage of web data extraction:
Discovery is faster - for some data types, use of Zyte’s AI-driven identification surged 50x in 2025.
Access management is smarter - AI-driven strategy creation handles the constant mechanism adaptation that manual updates can’t catch up with.
Validation is automated - AI catches errors that would take manual QA longer to spot.
Data is arriving cleaner, in less time and with less cost, freeing BI teams to do what they should be doing: driving business decisions.
Consume lawful data
But there are regulatory changes to be aware of.
According to 2026 Web Scraping Industry Report, landmark regulations like the EU AI Act and California's AB 2013, are transforming compliance from a legal checkbox into a critical procurement gate. For a Head of Business Intelligence, this means being on the front line, translating complex legal requirements into actionable data governance strategies for their teams and stakeholders.
The new laws are specific and carry significant weight
As the person responsible for the data that fuels the organization's insights - especially ones affected by the regulations - leaders of BI function must now ask data vendors pointed questions that go beyond technical capabilities:
How is the vendor adapting to the EU AI Act's transparency requirements and copyright provisions?
What is their process for documenting data provenance to comply with California's AB 2013?
Can they demonstrate a clear legal basis for processing any personal data, in line with GDPR and other privacy regulations?
In 2026, the ability to answer these questions confidently is what separates a strategic data partner from a potential liability. Ensuring vendors have robust compliance infrastructure is about more than just risk mitigation; it's also about securing the data supply chain and enabling the business to compete and win in a regulated world.
Your BI function in 2026
Standing still on data gathering actually means falling behind. The opportunity to elevate the BI function from an operational cost center to a strategic driver of business value is here, but the window is closing.
Understanding this choice is the first step. To see the data behind this trend and learn how to position your team on the winning side of this gap, download the complete 2026 Web Scraping Industry Report.
2026 Web Scraping Industry Report
Insights and 26 actionable recommendations for data-gathering strategy this year.
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