Intuition launches its layer 3 Information Finance-driven mainnet to build a decentralized trust layer for AI and the internet following an $8.5 million funding round. According to a press release received by crypto.news, Intuition protocol has officially launched its mainnet…
Smart contracts changed how agreements run online. There’s one big gap, though: blockchains do not fetch outside data by themselves. That limitation created an entire discipline blockchain oracle development and it now sits at the heart of serious dApp work.
Think through a few common builds. A lending protocol needs live asset prices. A crop-insurance product needs verified weather. An NFT game needs randomness that players cannot predict. None of that works without an oracle. Get the oracle piece wrong and you invite price shocks, liquidations at the wrong levels, or flat-out exploits.
This guide lays out the problem, the tools, and the practical moves that keep your contracts safe while still pulling the real-world facts you need.
The Oracle Problem: Why Blockchains Can’t Talk to the Real World
Blockchains are deterministic and isolated by design. Every node must reach the same result from the same inputs. That’s perfect for on-chain math, and terrible for “go ask an API.” If a contract could call random endpoints, nodes might see different responses and break consensus.
That creates the classic oracle problem: you need outside data, but the moment you trust one server, you add a single point of failure. One feed can be bribed, hacked, or just go down. Now a supposedly trust-minimised system depends on one party.
The stakes are higher in finance. A bad price pushes liquidations over the edge, drains pools, or lets attackers walk off with funds. We’ve seen it. The fix isn’t “don’t use oracles.” The fix is to design oracles with clear trust assumptions, meaningful decentralisation, and defenses that trigger before damage spreads.
Types of Blockchain Oracles You Should Know
Choosing the right fit starts with a quick model map. These types of blockchain oracles for dApps cover most needs:
1) Software oracles
Pull data from web APIs or databases: asset prices, sports results, flight delays, shipping status. This is the workhorse for DeFi, prediction markets, and general app data.
2) Hardware oracles
Feed physical measurements to the chain: GPS, temperature, humidity, RFID events. Supply chains, pharmaceutical cold chains, and logistics rely on these.
3) Inbound vs Outbound
Inbound: bring external facts on-chain so contracts can act.
Outbound: let contracts trigger real-world actions — send a webhook, start a payment, ping a device.
4) Consensus-based oracles
Aggregate readings from many independent sources and filter outliers. If four feeds say $2,000 and one says $200, the system discards the odd one out.
5) Compute-enabled oracles
Perform heavy work off-chain (randomness, model inference, large dataset crunching) and return results plus proofs. You get richer logic without blowing up gas.
From software to compute-enabled oracles — understanding how each type connects real-world data to smart contracts
Centralized vs. Decentralized: Picking an Oracle Model That Matches Risk
This choice mirrors broader blockchain tradeoffs.
Centralized oracles
Pros: fast, simple, low overhead, good for niche data.
Cons: single operator, single failure path. If it stops or lies, you’re stuck.
Decentralized oracle networks
Pros: many nodes and sources, aggregation, cryptoeconomic pressure to behave, resilience under load.
Cons: higher cost than one server, a bit more latency, and more moving parts.
A good rule: match the design to the blast radius. If the data touches balances, liquidations, or settlements, decentralize and add fallbacks. If it powers a UI badge or a leaderboard, a lightweight source can be fine.
Hybrid is common: decentralized feeds for core money logic, lighter services for low-stakes features.
Top Oracle Providers (What They’re Best At)
Choosing from the best Oracle providers for blockchain developers requires understanding each platform’s strengths and ideal use cases. Here’s what you need to know about the major players.
Chainlink: The Industry Standard
Chainlink dominates the space for good reason. It’s the most battle-tested, most widely integrated oracle network, supporting nearly every major blockchain. Chainlink offers an impressive suite of services: Data Feeds provide continuously updated price information for hundreds of assets; VRF (Verifiable Random Function) generates provably fair randomness for gaming and NFTs; Automation triggers smart contract functions based on time or conditions; CCIP enables secure cross-chain communication.
The extensive documentation, large community, and proven track record make Chainlink the default choice for many projects. Major DeFi protocols like Aave, Synthetix, and Compound rely on Chainlink price feeds. If you’re unsure where to start, Chainlink is usually a safe bet.
Band Protocol: Cost-Effective Speed
Band Protocol offers a compelling alternative, particularly for projects prioritizing cost efficiency and speed. Built on Cosmos, Band uses a delegated proof-of-stake consensus mechanism where validators compete to provide accurate data. The cross-chain capabilities are excellent, and transaction costs are notably lower than some alternatives. The band has gained traction, especially in Asian markets and among projects requiring frequent price updates without excessive fees.
API3: First-Party Data Connection
API3 takes a fascinating first-party approach that eliminates middlemen. Instead of oracle nodes fetching data from APIs, API providers themselves run the oracle nodes using API3’s Airnode technology. This direct connection reduces costs, increases transparency, and potentially improves data quality since it comes straight from the source. The governance system allows token holders to curate data feeds and manage the network. API3 works particularly well when you want data directly from authoritative sources.
Pyth Network: High-Frequency Financial Data
Pyth Network specializes in high-frequency financial data, which is exactly what sophisticated trading applications need. Traditional oracle networks update prices every few minutes; Pyth provides sub-second updates by aggregating data from major trading firms, market makers, and exchanges. If you’re building perpetual futures, options protocols, or anything requiring extremely current market data, Pyth delivers what slower oracles can’t.
Tellor: Custom Data Queries
Tellor offers a unique pull-based oracle where data reporters stake tokens and compete to provide information. Users request specific data, reporters submit answers with stake backing their claims, and disputes can challenge incorrect data. The economic incentives align well for custom data queries that other oracles don’t support. Tellor shines for less frequent updates or niche data needs.
Chronicle Protocol: Security-Focused Transparency
Chronicle Protocol focuses on security and transparency for DeFi price feeds, employing validator-driven oracles with cryptographic verification. It’s gained adoption among projects prioritizing security audits and transparent data provenance.
Oracle Provider
Best For
Key Strength
Supported Chains
Average Cost
Chainlink
General-purpose, high-security applications
Most established, comprehensive services
15+ including Ethereum, BSC, Polygon, Avalanche, Arbitrum
Practical Steps: How to Use Oracles in Blockchain Development
You don’t need theory here — you need a build plan.
1) Pin down the data What do you need? How fresh must it be? What precision? A lending protocol might want updates every minute; a rainfall trigger might settle once per day.
2) Design for cost Every on-chain update costs gas. Cache values if several functions use the same reading. Batch work when you can. Keep hot paths cheap.
3) Validate everything Refuse nonsense. If a stablecoin price shows $1.42, reject it. If a feed hasn’t updated within your time window, block actions that depend on it.
4) Plan for failure Add circuit breakers, pause routes, and manual overrides for emergencies. If the primary feed dies, switch to a fallback with clear recorded governance.
5) Test like a pessimist Simulate stale data, zero values, spikes, slow updates, and timeouts. Fork a mainnet, read real feeds, and try to break your own assumptions.
6) Monitor in production Alert on stale updates, weird jumps, and unusual cadence. Many disasters arrive with a small warning you can catch.
Six essential steps to build, secure, and optimize blockchain oracle workflows in Solidity.
Step-by-Step Oracle Integration in Solidity
Let’s get hands-on with a step-by-step integrate oracle in Solidity tutorial. I’ll show you how to implement smart contract external data oracles using Chainlink, walking through a complete example.
Getting Your Environment Ready
First, you’ll need a proper development setup. Install Node.js, then initialize a Hardhat project. Install the Chainlink contracts package:
npm install –save @chainlink/contracts
Grab some testnet ETH from a faucet for the network you’re targeting. Sepolia is currently recommended for Ethereum testing.
Creating Your First Oracle Consumer
Here’s a practical contract that fetches ETH/USD prices. Notice how we’re importing the Chainlink interface and setting up the aggregator:
// SPDX-License-Identifier: MIT pragma solidity ^0.8.19;
constructor(address _priceFeed) {
priceFeed = AggregatorV3Interface(_priceFeed);
}
function getLatestPrice() public view returns (int) {
(
uint80 roundId,
int price,
uint startedAt,
uint updatedAt,
uint80 answeredInRound
) = priceFeed.latestRoundData();
require(price > 0, "Invalid price data");
require(updatedAt > 0, "Round not complete");
require(answeredInRound >= roundId, "Stale price");
return price;
}
function getPriceWithDecimals() public view returns (int, uint8) {
int price = getLatestPrice();
uint8 decimals = priceFeed.decimals();
return (price, decimals);
}
The validation checks are crucial. We’re verifying that the price is positive, the round completed, and we’re not receiving stale data. These simple checks prevent numerous potential issues.
Implementing Request-Response Patterns
For randomness and custom data requests, you’ll use a different pattern. Here’s how VRF integration works:
Deploy to testnet and verify everything works. Use Chainlink’s testnet price feeds, available on their documentation. Test edge cases systematically:
What happens during price volatility?
How does your contract behave if oracle updates are delayed?
Does your validation catch obviously incorrect data?
Are gas costs reasonable under various network conditions?
Only after thorough testnet validation should you consider mainnet deployment.
Best Practices for Production Oracle Integration
Implementing oracle services smart contract integration for production requires following established security and efficiency patterns.
Validate Everything
Never assume oracle data is correct. Always implement validation logic that checks returned values against expected ranges. If you’re querying a stablecoin price, flag anything outside $0.95 to $1.05. For ETH prices, reject values that differ by more than 10% from the previous reading unless there’s a clear reason for such movement.
Implement Time Checks
Stale data causes problems. Always verify the timestamp of oracle updates. Set maximum acceptable ages based on your application’s needs. A high-frequency trading application might reject data older than 60 seconds, while an insurance contract might accept hours-old information.
Design for Failure
Oracles can and do fail. Your contracts must handle this gracefully rather than bricking. Include administrative functions allowing trusted parties to pause contracts or manually override oracle data during emergencies. Implement automatic circuit breakers that halt operations when oracle behavior becomes anomalous.
Optimize for Gas
Oracle interactions cost gas. Minimize calls by caching data when appropriate. If multiple functions need the same oracle data, fetch it once and pass it around rather than making multiple oracle calls. Use view functions whenever possible since they don’t cost gas when called externally.
Consider Multiple Data Sources
For critical operations, query multiple oracles and compare results. If you’re processing a $1 million transaction, spending extra gas to verify data with three different oracle providers is worthwhile. Implement median calculations or require consensus before proceeding with high-value operations.
Monitor Continuously
Set up monitoring infrastructure that alerts you to oracle issues. Track update frequencies, data ranges, and gas costs. Anomalies often signal problems before they cause disasters. Services like Tenderly and Defender can monitor oracle interactions and alert you to irregularities.
Document Dependencies Thoroughly
Maintain clear documentation of every oracle dependency: addresses, update frequencies, expected data formats, and fallback procedures. Future maintainers need to understand your oracle architecture to safely upgrade or troubleshoot systems.
Plan for Upgrades
Oracle providers evolve, and you may need to switch providers. Use proxy patterns or similar upgrade mechanisms, allowing you to change oracle addresses without redeploying core contract logic. This flexibility proves invaluable as the Oracle landscape develops.
Key pillars for reliable oracle integration — from data validation to failure handling and gas optimization.
Real Implementations That Rely on Oracles
DeFi: lending and perps lean on robust price feeds to size collateral, compute funding, and trigger liquidations.
Prediction markets: outcomes for elections, sports, and news settle through verifiable reports.
Parametric insurance: flight delays and weather thresholds pay out without claims handling.
Supply chain: sensors record temperature, shock, and location; contracts release funds only for compliant shipments.
Gaming/NFTs: verifiable randomness keeps loot, drops, and draws fair.
Cross-chain: proofs and messages confirm events on one network and act on another.
Blockchain oracle development is the hinge that lets smart contracts act on real facts. Start by sizing the blast radius: when data touches balances or liquidations, use decentralized feeds, aggregate sources, enforce time windows, and wire circuit breakers. Choose providers by fit—Chainlink for general reliability, Pyth for ultra-fresh prices, Band for cost and cadence, API3 for first-party data, Tellor for bespoke queries, Chronicle for auditability.
Then harden the pipeline: validate every value, cap staleness, cache to save gas, and monitor for drift in cadence, variance, and fees. Finally, plan for failure with documented fallbacks and upgradeable endpoints, and test on forks until guards hold. Move facts on-chain without central choke points, and your dApp simply works.
Frequently Asked Questions
What is a blockchain oracle, in one line?
A service that delivers external facts to smart contracts in a way every node can verify.
Centralized vs decentralized — how to choose?
Match to value at risk. High-value money flows need decentralised, aggregated feeds. Low-stakes features can run on simpler sources.
Which provider fits most teams?
Chainlink is the broad, battle-tested default. Use Pyth for ultra-fast prices, Band for economical frequency, API3 for first-party data, Tellor for custom pulls, and Chronicle when auditability is the top ask.
Can oracles be manipulated?
Yes. Reduce risk with decentralisation, validation, time windows, circuit breakers, and multiple sources for important calls.
How should I test before mainnet?
Deploy to a testnet, use the provider’s test feeds, and force failures: stale rounds, delayed updates, and absurd values. Ship only after your guards catch every bad case.
Glossary
Blockchain oracle development: engineering the bridge between off-chain data and on-chain logic.
Oracle problem: getting outside data without recreating central points of failure.
Inbound / Outbound: direction of data relative to the chain.
Data feed: regularly updated values, usually prices.
Consensus-based oracle: aggregates many sources to filter errors.
VRF: verifiable randomness for fair draws.
TWAP: time-weighted average price; smooths short-term manipulation.
Circuit breaker: pauses risky functions when conditions look wrong.
Summary
Blockchain oracle development is now core infrastructure. The guide explains why blockchains cannot call external APIs and how oracles bridge that gap without creating a single point of failure. It outlines oracle types, including software, hardware, inbound, outbound, consensus, and compute-enabled models. It compares centralized speed with decentralized resilience and advises matching the design to the value at risk. It reviews major providers: Chainlink for broad coverage, Band for low cost, API3 for first-party data, Pyth for ultra-fast prices, Tellor for custom queries, and Chronicle for transparent DeFi feeds. It then gives a build plan: define data needs, control gas, validate values and timestamps, add circuit breakers and fallbacks, test for failure, and monitor in production. Solidity examples show price feeds and VRF patterns. Real uses include DeFi, insurance, supply chains, gaming, cross-chain messaging, and ESG data. The takeout is simple: design the oracle layer with safety first, since user funds depend on it.
The Dogecoin price shows quiet strength as retail sentiment stays weak. Dormant whales accumulated 15.1 million DOGE, worth about $2.95 million, signaling renewed long-term confidence.
The move contrasts sharply with soft trading activity among small investors. Many retail holders continue to sell into every minor rally, showing limited confidence in short-term gains. The cautious behavior reflects broader market uncertainty and hesitation to buy at current levels.
Whales Reactivate as DOGE Accumulation Rises
On-chain data reveals a steady accumulation of DOGE by high-value wallets. One whale address reactivated after months of dormancy, adding 15.1 million DOGE to its holdings.
It later sold 7,473 DOGE for about $1,450, leaving 15.19 million DOGE valued near $12.96 million. Analysts view this as a strong signal that institutional or early adopters are positioning ahead of the next market phase.
While retail traders appear cautious, large wallets are quietly adding exposure. This split in behavior highlights an ongoing tug-of-war between speculative exit and long-term accumulation.
Whale Accumulation Signals Faith
Dormant whale accumulation often precedes renewed confidence among experienced holders. These “smart money” actors typically buy when the Dogecoin price trades near historical support zones. Their activity indicates belief in a medium- to long-term recovery, even when short-term metrics appear bearish.
Whale wallets moving after long silence also suggest that value recognition is returning to the meme-coin sector. Despite a weak broader market, their actions may mark early groundwork for the next uptrend.
Weak Retail Sentiment Persists
Despite whale optimism, retail traders are doing the opposite. CryptoQuant data shows that the Spot Taker CVD remained negative through October, signaling sustained selling pressure. This metric reveals that most traders continue to execute aggressive sell orders rather than buy into dips.
SourceL CryptoQuant
Supporting this, Coinalyze data reports a persistent negative Buy–Sell Delta. Over the past 30 days, Dogecoin recorded 156.67 million in sell volume versus 154.88 million in buy volume — a net negative of 1.79 million DOGE. This imbalance confirms that retail enthusiasm has yet to return.
Source: Coinalyze
Technical Setup Remains Bearish
The DOGE USD price is still hovering below the main moving averages. It is bellow the 20,50,100 and 200 EMA lines which are pointing down. The Directional Movement Index supports this view, as the Positive Index is very close to 12 and the Negative was near 39.
Month
Minimum Price
Average Price
Maximum Price
Potential ROI
October
$0.192
$0.195
$0.198
-2.6%
November
$0.224
$0.237
$0.250
23%
December
$0.225
$0.232
$0.238
17.1%
Buyers need to break more than $0.20 (20 EMA level) for the Dogecoin price trend to become bullish. A follow-through recovery back above the 50–100 EMA zone.
Source: TradingView
Around $0.21 is likely to pave the way for an extension of the up-move towards the $0.22 intermediate hurdle in the near-term. If it does not, the price can remain range-bound between $0.17 and $0.20 for an extended period.
Market Momentum Building Slowly
Despite the present soft performance, Dogecoin price exhibits superior resilience when compared to larger altcoins. It was up more than 2% this week compared with the CD5 index. Trading volume was 9.8% above the seven-day average, a sign of institutional participation.
The pattern suggests “early-cycle momentum building,” says market strategist Rishi Patel of Bluepool Digital. “DOGE’s resilience while Bitcoin and Ethereum consolidate suggests rotation flows are returning to higher-beta assets,” Patel said.
Chart Indicators Show Stability
Technical charts indicate that dogecoin is supported by an uptrendline, drawn from $0.1949 low on the hourly chart. Steady re-tests at $0.2060–$0.2070 support indicate buyers remain in the market daily. RSI is sitting at around 58 on the 4-hour — just like you’d expect early in a trend.
The MACD indicator remains in the positive area but starts to narrow, indicating light consolidation following an attempt to break out. This action suggests re-accumulation, not exhaustion, analysts said. The bias remains bullish with sustained closes above $0.2085.
What Lies Ahead for Dogecoin Price
But if buyers take over, Dogecoin price may rise towards $0.22 and then at the end of this week or next, to $0.25 ahead of new conditions next month. But an inability to take out the resistance levels may extend sluggishness.
Although most long-term holders still talk about DOGE as a speculative — yet resiliently decentralized– digital asset. Its strong community and growing whale interest keeps its story running even in slow markets.
Conclusion
The Dogecoin price narrative today is emblematic of the quiet confidence beneath the surface. Whales that were previously dormant are accruing millions, while retail traders are even hopping out.
Technicals are still cautious, momentum indicates slow-building recovery. If DOGE can break above $0.20 and maintain, that will signify its next leg. For the time being, the whales seemed to be gambling that patience would pay.
Whale: A name for someone holding a large quantity of cryptocurrency who is able to manipulate the market.
Dormant Wallet: A cryptocurrency or blockchain wallet that has gone dormant, and is either empty or contains an insignificant sum of cryptocurrency.
On-Chain Data: Information written to a blockchain itself, which can be utilized to track wallet movements, transactions and the general health of network.
Retail Traders: Small, individual investors usually trading in small quantities who generally follow the short-term market favourite.
Spot Taker CVD: A measure of trading that compares volumes of buying and selling in the spot market, with negative values indicating pressure to sell.
Frequently Asked Questions About Dogecoin Price
1- Is the Dogecoin price bullish or bearish?
Short-term signals remain bearish, but whale accumulation hints at early bullish positioning.
2- Why are whales buying Dogecoin?
Dormant wallets suggest long-term investors see value at current levels and expect gradual recovery.
3- What price levels should traders watch?
Key resistance sits at $0.20 and $0.21. A breakout above $0.2085 could confirm new upside momentum.
4- Are retail traders supporting the move?
Not yet. Retail sentiment remains weak, with net selling pressure persisting for most of October.
Another outstanding month for new car sales in Uruguay, up 30.8% year-on-year in September to 6,795. The year-to-date volume is now up 11.4% to 49,158. The event of the month is delivered by Chinese behemoth BYD, up a surreal 455.5% year-on-year to reach a stunning 18.7% market share. This means the carmaker breaks its share record for the third month in a row, going from 12.6% in July, 13.1% in August and 18.7% this month. BYD remains however a distant 2nd year-to-date, with Fiat, up a splendid 60% for the month, still firmly in the lead. Suzuki (+870.6%!) and Chery (+101%) also make themselves noticed in the remainder of the Top 10. Below, JMC (+1950%), Dongfeng (+950%), JAC (+220%) and Omoda (+44.4%) lead the Chinese charge. All in all, sales of Chinese brands in Uruguay soar 176.4% year-on-year this month to 35.2% share vs. 16.7% a year ago…
Dacia Duster sales are up 238.3% year-on-year in September.
25/10 update: Now with Top 100 YTD models (PC+LCV)
10,381 passenger cars hit Hungarian roads in September, a stunning 14.4% year-on-year improvement. The year-to-date tally is up 7.7% to 95,946. The PC+LCV tally for the month is 12,131 with a YTD volume up 5.1% to 112,976.
In the PC brands charts, Suzuki (+10.7%) keeps the passenger car brands lead, just, 24 units above Toyota (+9.5%). Leader a year ago, Skoda (-15.4%) is in great difficulty but climbs two spots on August to #3, a ranking it also holds year-to-date. Volkswagen (+10.5%) trails the market but is up three ranks on last month to #4 with Ford (-17.2%) skidding to #5. Dacia is up to #8 vs. #11 year-to-date, while Chery breaks into the Hungarian Top 20 for the first time at #16 with 1.6% share. Tesla is up one spot to #18 and BYD down three to #19.
Model-wise, the Suzuki S-Cross (+6.7%) dominates again above the Suzuki Vitara (+46.8%) repeating at #2 but stuck at #3 year-to-date below the Skoda Octavia (-21.3%), ranking #3 for the month. The Dacia Duster (+238.3%) is up three spots on last month to #3, followed by the Toyota C-HR (+80.8%) up 10 ranks to #5 and the Toyota Yaris Cross (+71.2%) down two to #6 despite a fantastic YoY lift. The Hyundai Tucson (+263.6%) and Ford Puma (+121.1%) also shine in the remainder of the Top 10.
Jaecoo sales are up 1480% year-on-year in September.
4,651 new light vehicles found a buyer in Panama in September, with the year-to-date tally standing at 42,762. Toyota (+9.9%) remains by far the most popular carmaker but can only muster 16.9% share vs. 19.4% in the year through September.
Kia (+17.5%) is in even better shape at #2 whereas Hyundai (-42.8%) freefalls year-on-year but still hold an honest 11.6% share. Isuzu (+38.9%), Changan (+29.9%) and Nissan (+16.9%) also shine in the remainder of the Top 10. Below, Jaecoo (+1480%) surges to #15 with 1.7% share vs. 0.4% year-to-date, Kaiyi is up 141.9% and Dongfeng up 108.7%. Newcomer Soueast is up 11 spots on last month to #23.
Over in the models charts, the Hyundai Grand i10 repeats at #1 with 5.7% share, distancing the Kia Soluto, Toyota Hilux and Yaris Cross like last month. The Kia Picanto returns to the Top 10 at #5 as do the Hyundai Creta (#7) and Suzuki Jimny (#8).
The Kia Picanto is the best-selling vehicle in Colombia in September.
The Colombian new vehicle market surges 45.2% year-on-year in September to 24,894 units, making it the best month of the year so far. However, remember September 2024 was off -34.7% on the year prior. Through September, sales are up a stunning 29.3% to 175,157. Kia (+77.1%) reclaims control of the brands charts with 14.4% share, its highest since last February. Renault (+39.6%) almost matches the market and stays in 2nd place ahead of a strong Chevrolet (+62.8%). Mazda (+15.2%) is significantly more muted whereas Toyota (-27.2%), #1 last month, dives to #5. BYD (+225.8%) delivers the biggest YoY gain in the Top 20 and passes the 1,000 monthly sales milestone for the first time but is down one spot on August to #9. Hyundai (+79.6%) and Suzuki (+66%) also impress.
In the models ranking, Kia monopolises the Top 2 with the Picanto (+131.3%) at #1 and the K3 (+54.5%) at #2. The Mazda CX-30 (+5.6%) is down one spot to #3, distancing the Chevrolet Onix (+108.8%) and Renault Duster Nacional (+48.2%). The Kia Sportage (+240.4%) spectacularly storms into the Top 10 at #6, up 8 ranks on last month. #1 last month and year-to-date, the Toyota Corolla Cross (-35%) would rather forget about this month. The best-selling newcomer is once again the BYD Yuan Up albeit down 3 spots to #11.
Chery sales are up 134.2% year-on-year in September.
New vehicle sales in Ecuador soar 39.5% year-on-year in September to 11,299 units, however September 2024 was off -23.3% on the year prior. Year-to-date volumes are up 6.4% to 88,605. Kia (+15.7%) confirms it is the new dominant force in the market but falls to 14% share vs. 16.1% year-to-date. Chevrolet (-8.8%) is in complete freefall given the market dynamics and endures one of only two YoY losses in the Top 20.
Chery (+134.2%), GWM (+87.4%), Hyundai (+79.8%) and Renault (+67.7%) in contrast all post fantastic gains. DFSK (+58.5%), Suzuki (+56.7%) and JAC (+53.7%) also outrun the market in the remainder of the Top 10. Just below, BYD (+666.7%) shoots up to #11 vs. #15 so far this year. Foton (+146.4%) and Jetour (+105.7%) also impress.
Model-wise, the Kia Soluto easily holds onto the top spot while the Chevrolet D-Max is back to the 2nd position it holds year-to-date, passing the Chevrolet Groove. The GWM Poer overtakes the Kia Sonet to #4 while the Kia Seltos and Hyundai Tucson camp on their August ranking. Illustrating the brand’s success this month, the Chery Arrizo climbs to #9.
It’s the best month of the year by far in Greece with September volumes surging 27% year-on-year to 12,273. A caveat to this performance is the fact that September 2024 was off -15.3% on the year prior. The year-to-date tally is now up 3.9% to 112,232. Toyota (+30.2%) signs its highest market share in almost a year at 17.8% (October 2024 18.3%) while Suzuki (+29.3%) is back up five spots on last month to #2. Hyundai (+47.8%) stays at #3 with Peugeot (+11%) and BMW (+8.5%) weak in context. Citroen (+112.7%), Renault (+67.7%) and Volkswagen (+76.1%) deliver the biggest year-on-year gains in the Top 10. Below, Nissan (+145.8%), Mercedes (+59.9%) and MG (+54.5%) stand out. We welcome Zeekr and Changan Deepal in the charts.
Over in the models ranking, the Toyota Yaris Cross (+68.3%) is up to a fantastic 7.4% share after reaching 7.9% last month. As a result it poses the Peugeot 2008 (+40.1%) year-to-date to snap the pole position, a ranking it held over the Full Year 2024. The Renault Clio (+77.8%) advances to #3 vs. #12 YTD while the Toyota C-HR (+72.3%) rallies back up 19 spots on August to rank at #4 vs. #11 so far this year. The Suzuki Swift (+125.2%), Nissan Juke (+91.6%), Suzuki Vitara (+36.6%) and Citroen C3 (+35.5%) also beat the market in the remainder of the Top 10.
New light vehicle sales in Thailand are off -4.8% year-on-year in August to 46,365. The year-to-date tally now stands at 416,579. The Top 4 brands all trail the market with harsh double-digit losses. Toyota (-12.2%) resists best above Isuzu (-15.3%), Honda (-20%) and, surprisingly given the brand’s current global momentum, BYD (-26.9%). In contrast MG (+100.8%) doubles its year-ago result to repeat at a record #5 with 5.1% share vs. 3.6% so far this year. Changan (+153.6%) and GAC Aion (+152.8%) also post fantastic scores in the remainder of the Top 10. But once again it’s TANK (+910.7%) that delivers the best performance in market but it slips outside the Top 10 at #11. Ora (+145.3%) also makes itself noticed at #15.
Model-wise, the Toyota Hilux Revo (-18.5%) freefalls but still manages a market share superior to its YTD level at 11% vs. 10.5%. The Toyota Yaris Ativ (+9.7%) ranks #2 for the 4th straight month but is stuck at #3 year-to-date below the Isuzu D-Max (-16.4%) who dominated the market until 2023. The Toyota Yaris Cross (-6%), Honda City (-25.8%) and HR-V (-14.7%) follow. The best performer in the Top 10 is the MG 4 (+280.2%) up a further one spot on last month to #7 vs. #14 year-to-date and #23 over the Full Year 2025. The Toyota Fortuner (+7.8%) is also in good shape year-on-year at #8. Notice also the TANK 300 (+1169.55) at #15, the new Mitsubishi Xforce at #16 and the Changan Lumin (+1208.6%) at #23.
The Malaysian new car market is up 4.6% year-on-year in August to 78,474 units. The year-to-date tally stands at 547,378. Perodua (-7.8%) can’t take advantage of its home market growth and falls to 40.8% share vs. 46.3% a year ago. In contrast Proton (+18.4%) and Toyota (+9.1%) improve their share to 18.6% and 14.8% respectively. Honda (-20.8%) craters at #4 ahead of a surging Chery (+692.5%). BYD (+109.9%) and Jaecoo (+87.2%) shine while Mitsubishi (+21%) and Mercedes (+17.1%) also shine in the remainder of the Top 10.
Model-wise, the Top 5 is unchanged on last month and year-to-date but the Perodua Alza (+8%) is the only member in positive. The Perodua Bezza (-10.7%) suffers the most, followed by the Axia (-3.5%), Myvi (-3.3%) and Proton Saga (-0.3%). The Proton X50 (+79.8%), a rebadged Geely Coolray/Binyue scores by far the biggest year-on-year gain in the Top 20 and climbs four spots on last month to #6, ascending to #9 YTD as a result. This is thanks to a noticeable facelift. The Toyota Hilux (+21.2%) and Vios (+10.6%) also impress with double-digit upticks in the remainder of the Top 10. The Chery Tiggo 7 Pro (#20) and Proton e.MAS 7 (#21) are the most popular recent launches.
The VW ID.3 is the third best-selling vehicle with private buyers in Germany.
80,551 new cars found a private buyer in Germany in September, a sturdy 16.8% year-on-year improvement for a 34.2% private sales ratio (PSR) vs. 33% a year ago. Year-to-date volumes are up 4% to 715,408 and a 33.9% PSR vs. 32.5% over the same period in 2024. The VW T-Roc remains the dominant force in the models charts with a 50.4% PSR, followed by the Fiat Ducato at 86.3% PSR. The VW ID.3 is up two spots on last month to #3 and 59.4% PSR, vastly outselling the VW Golf at #12 with 17.4% PSR. The Skoda Karoq (60.5% PSR) is also up two ranks to #4 while the Tesla Model Y (71.3% PSR), #1 a year ago, has to contend wth the 5th spot this month. Other great performers in the Top 10 include the Mercedes A-Class (71% PSR), Dacia Sandero (70.6%), Mercedes GLA (58.9%) and Skoda Elroq (55.4%).
MiThe Mitsubishi ASX sold in New Caledonia is not the European model.
Continuing social unrest means New Caledonian new car sales freefall again through September at -23.3% to 2,487 units. Keep in mind the year-ago volume was already off -48.7% on the year prior. Toyota (-41.7%) falls markedly faster than the market, seeing its share reduced to 14%. In contrast Renault (-7.6%) and Suzuki (-13.2%) resist relatively well in context and complete the podium like they did over the Full Year 2024. Hyundai (+1.1%) is the only gainer in the Top 8 and climbs four spots to #4. Dacia (-45.3%) and Peugeot (-30.1%) are hit the hardest below but Mitsubishi (+22.1%) and Subaru (+21.3%) post market-defying surges to close out the Top 10. BAIC (+94.7%), Fiat (+54.2%) and BYD (+15.4%) also impress further down.
Over in the models charts, the Toyota Hilux (-51.6%) stays on top but loses over half its year-ago volume. It is followed this time by the Suzuki Swift (-9.3%) passing the Dacia Duster (-31.5%). The Ford Ranger (+11.8%) is actually up to #4 while the Mitsubishi ASX (+64.5%) and Renault Kangoo (+9.4%) also post year-on-year upticks in the remainder of the Top 10. The Renault Master (-3.4%), Hyundai Tucson (-7.5%) and Suzuki Jimny (-10.3%) resist but the Citroen Berlingo (-28.8%) dives.
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