Insight into the Market Leads the Way to Pandemic Recovery

by Guest Contributor 3 min read September 17, 2020

two blue cars parked in tandem in an automotive showroom

No one was quite prepared for COVID-19 and its unprecedented impact on the automotive industry. Factories shutdown, dealerships closed and sales plummeted. But, now as the market begins to recover, the environment looks different than it did before. In order to move forward and rebound from the pandemic, manufacturers and dealers need to rely on market trends and insights to assess their go-forward strategy.

As expected, new and used vehicle registrations experienced significant declines compared to last year. According to Experian’s Q2 2020 Market Trends Review, there were 6.4 million new vehicle registrations through the first half of the year, down from 8.4 million a year ago; used vehicle registrations came in at 18.3 million, down from 21.8 million over the same period.

Despite the significant drop in new and used vehicle registrations at the onset of the pandemic, a positive trend is emerging. In March, when COVID-19 was officially declared a pandemic, the volume of new vehicle registrations dropped by approximately 460,000 compared to February; a similar trend was observed on the used vehicle side, where registrations declined by as much as 1.6 million. We have since seen new and used vehicle registrations slowly approach pre-pandemic levels; and in some instances, exceed them. In both June and July, there were approximately 1.2 million new vehicle registrations; only about 120,000 off February levels—and used vehicle registrations actually surpassed the February mark, in both June and July by surpassing 3.7 million vehicles each month.  This positive trend eludes to a cautious return to normalcy as stay-at-home orders lift and consumers once again consider purchasing vehicles.

But with more consumers re-entering the automotive market, understanding which vehicles are most in demand is crucial to meeting the needs of car buyers. The top three makes for new vehicle registrations for consumers were GM (13.9%), Toyota (12.4%) and Ford (10.1%). Meanwhile, the top three make and models include Ford F-150 (3.4%), Chevy Silverado 1500 (3.3%) and Toyota RAV4(3.1%).

Beyond the preferred makes and models, the industry needs to understand who is buying cars. And contrary to popular belief, Millennials and Gen Z have actually increased their car purchasing. Both groups saw an increase in the percentage of consumers purchasing vehicles, while Baby Boomers and Gen X saw a decrease. It’s important to note, Baby Boomers, Millennials and Gen Xers still make up the majority of consumers purchasing new vehicles.

People are at different points in the COVID-19 recovery lifecycle. Understanding who is in the market for a vehicle and what they are looking for is more important than ever. As the market rebounds, manufacturers and dealers can both meet the demands of consumers and increase sales by identifying in-market car shoppers and reaching them with relevant messages. For example, Millennials might be more receptive to digital messaging across many platforms while Baby Boomers and Gen X consumers may gravitate towards print. It’s these small details that will carry messaging further.

As consumers begin to reconsider automotive purchases, manufacturers and dealers can stay one step ahead by digging into the data. Staying ahead of the trends and adjusting to what lies ahead, will not only support sales growth, but also support consumers as they begin to recover from the impact of COVID-19.

To view Experian’s full Q2 2020 Market Trends Review, click here

Related Posts

Building for Bots in the AI Age: Separating Legitimate Agents From Fraudsters

See how NeuroID helps businesses distinguish legitimate AI agents from fraud bots, while Agent Trust verifies agent-initiated transactions.

October 29, 2026 by Laura Burrows
2026 Retail Banking Identity and Fraud Report 

Learn how banks can convert rising fraud investment into protection customers recognize, value and feel in our recent report. Read more!

October 28, 2026 by Laura Burrows
One Platform, Fewer Handoffs, Faster Decisions

The average credit union manages between 100-300 vendor relationships, and nearly a third have no dedicated staff managing them. What was supposed to drive efficiency is stunting growth and compromising the member experience. Application volume is continuing to rise, and consumers expect a loan decision at digital speed. But for credit unions, meeting that expectation isn't the only goal. They must also continue to make the right lending decisions while also prioritizing risk management. The institutions pulling ahead aren't the ones with the most tools. They're the ones that have turned credit, fraud and decisioning into a single, coordinated system. A single loan decision touches: Credit data Identity verification Fraud signals Decisioning logic Reporting Rarely does all of that live in one place. More often, it’s stitched together across separate platforms, each with its own contract and its own support line. When a credit view and a fraud view are generated separately, they must be reconciled instead of read together in the same instant. Every handoff is a place where a decision slows down and a signal gets missed. It's why a fraud pattern that would be obvious next to the credit file often surfaces only after the funds are already gone. Fragmentation also makes it harder to optimize lending strategies over time. When data, analytics and decisioning are disconnected, credit unions have less visibility into what's working, what's changing and where strategies need to be adjusted. An integrated decisioning ecosystem closes those seams by design, with credit, fraud and lending strategy running on one platform and accessed through a single Application Programming Interface (API). Identity and compliance capabilities can be an integrated decisioning flow. The data doesn't need to be reconciled after the fact because it was never separated in the first place. Stop overengineering, start removing friction When decisioning underperforms, the instinct is to build something more custom: a proprietary model, tighter segmentation, more configuration.  Custom modeling has its place for institutions with the scale and data to justify it. But often, for small or mid-sized credit unions, the bigger opportunity is a flexible decisioning strategy that uses a strong, continuously refreshed model. This shouldn't be either/or. The right approach gives credit unions a strong decisioning strategy today, with the ability to introduce more customized analytics and modeling as their needs evolve.  The same principle applies to strategy management: credit unions can gain greater control through self-service capabilities as they build a more sophisticated data science team.   That kind of flexibility is important as credit unions modernize their decisioning infrastructure. Research surveying more than 2,000 senior credit risk and fraud decision-makers across 11 countries found that organizations investing in unified platforms and modern infrastructure are moving faster and realizing the greatest Return on Investment (ROI).   As their needs evolve, credit unions can adjust decisioning strategies without introducing another layer of technology or relying on third parties to make every change. Until self-service is the right fit, choose a partner that understands what makes your credit union’s membership and risk appetite different from others.  Same member, same afternoon, faster answer Consider a credit union growing its auto and personal loan originations.  A member applies for an auto loan on Saturday afternoon. Credit data, identity and fraud signals are read together in a single real-time pass instead of separate reviews:  Most applications resolve immediately, approved or declined based on a more comprehensive view of the applicant. A smaller number are flagged for quick step-up verification and cleared within minutes. Only genuinely ambiguous cases reach an underwriter, who is working from one complete picture instead of reconciling multiple signals. The member has an answer before the weekend is over. The credit union books the loan before competitors even open on Monday. Built to scale This kind of process holds up today. However, the better test is whether it holds up eighteen months from now when application volume has grown, new products are live and the data flowing through the system looks nothing like it does right now. Future-proofing isn't only about handling more volume. It's about having room to be nimbler and make adjustments as quickly as the market changes. A credit union that relies on standard models within a decisioning strategy may want more customized analytics and greater control over its strategies tomorrow. Connect with us With more than three decades of credit expertise and one of the industry's largest data footprints, Experian helps credit unions do more than solve this year's friction. We're helping to build a decisioning foundation that scales, so growth becomes something the system absorbs, rather than something it must be rebuilt around. Explore More

October 21, 2026 by Zohreen Ismail

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe