New California Mandate Rekindles Electric Vehicle Buzz

by Guest Contributor 5 min read November 9, 2020

charger in electric vehicle

In late September, California announced a new requirement for the sale of all new passenger vehicles to be zero-emission by 2035. While that’s still 15 years away, the executive order created quite a buzz in the automotive industry, reigniting conversations about electric vehicles (EVs) and the current market penetration of the most common zero-emission vehicles.

With that in mind, we wanted to take a closer look at the state of EVs—across the country and more specifically, in California—to better understand the EV market and how it’s grown over the past few years.

As of Q2 2020, electric vehicles comprised just 0.312% of vehicles in operation (VIO). While EV market share seems small, there has been significant growth since Q2 2015, when they only held 0.0678% of the VIO market—meaning the growth of EVs has more than tripled (3.6x) in the last five years. But even still, other segments, such as CUVs have seen faster growth in the same time period (10% market share in Q2 2020 compared to 6.2% in Q2 2015).

California sees faster EV adoption

California has seen growth in EV adoption in the last decade, but it has grown exponentially in the last five years. EVs comprised 1.79% of new vehicle registrations 2015, and the percentage grew to 5.32% as of Q2 2020. Much of the growth occurred between 2017 and 2018, when market share jumped from 2.62% to 5.04% year-over-year, with the introduction of the more cost-effective Tesla Model 3. Even with that growth, California new vehicle purchases have a long way to grow to move up to 100% EV.

With the popularity of the Model 3, it’s somewhat unsurprising, Tesla holds the lion’s share of the EV market in California, making up 61.9% of EVs on the road within VIO, and nationally at 64.8% share. That could potentially change down the road though. Over the next two years, numerous manufacturers have plans to introduce electric versions of popular models or introduce new EV models altogether. This not only creates competition but could also help continue to drive down vehicle cost, making EVs a more viable option for consumers.

Examining costs and other factors

Cost is one of the key considerations that industry experts have routinely brought up over the years as a barrier to EV adoption. While some say that maintenance and fuel are cheaper in the long run, purchasing an EV today is typically a more expensive option at the dealership. The average loan amount for an EV in California in 2019 was $40,964, compared to an average vehicle loan amount of $32,373.

That said, as EV adoption has seen exponential growth in the last five years, the average price has reduced. The average loan amount for an EV in 2016 was $78,646, dropping more than $35,000 in just five years as the technology continued to mature and vehicle costs lowered. Additionally, tax incentives, particularly in California, have also helped reduce affordability concerns. Though today’s tax incentives may not be in place through 2035, California will likely need to evaluate if economic incentives are required along the way to achieving the zero-emission vehicle deadline.

However, even as costs lower, there are additional challenges to be overcome. For instance, infrastructure continues to be a barrier to adoption. In a 2019 AAA study, concern over being able to find a place to charge is the top reason listed as to why respondents are unlikely to purchase an EV in the future. In addition, according to Statisa, in March 2020, the U.S. had almost 25,000 charging stations for plug-in electric vehicles, and approximately 78,500 charging outlets. Of those charging stations, nearly 30% are in California. But with continued growth of EV sales, there will be a critical need for continued infrastructure nationwide—not just in California.

In addition to these considerations, many impacts of the new mandate remain unknown. California will have to navigate increased electricity demand—especially during peak hours—and increases in battery scrappage, as EVs wear out. Gas stations will need to manage a loss of revenue, while changes in fuel taxes are likely, and vehicle technicians will require new training.

If increased adoption of zero emission vehicles is California’s long-term goal, this could also impact the popularity of used vehicles, which could leave dealers looking for alternative locations to sell their gasoline-powered inventory.

Looking toward the future of EVs

Realistically, with 15 years until the mandate takes effect, the California mandate won’t have much of an immediate effect on the industry. But it does highlight key considerations for automakers and the aftermarket moving forward. To achieve better adoption rates, automakers need to understand the barriers to success and how they impact consumer behavior. An example of this is how California has seen higher EV adoption rates as the availability of plug-in stations has increased.

Continuing to find ways to lower costs and focusing on savings over the lifetime of the vehicle is will help consumers see the value of an EV. At the end of the day, automakers play a large role in moving the country toward EV adoption, so having a clear understanding of the trends can help refine strategies as we move toward an electrified future.

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