The Business Research Company has released a study claiming that the global blockchain AI market will reach $0.7 billion in 2025, up from $0.57 billion in 2024. This anticipated growth truly attests to how people are changing how they think about automation, data, and trust. While AI allows machines to learn and solve problems like humans, blockchain helps secure records through its decentralized infrastructure.
When used together, blockchain can help AI keep its data accurate and safe, while AI, on the other hand, can help blockchain operate faster. Given that almost everyone is seeking these features, it makes sense to see the global blockchain AI market grow. This intersection can be handy in real-world applications like fraud detection and health care innovation.
Even in fast-paced markets like cryptocurrency, this synergy is showing up in powerful ways. Whether you’re tracking automated trades or scanning the Bitcoin price live, artificial intelligence algorithms and blockchain protocols can make the process more transparent, secure and efficient than ever before.
Smarter data, safer decisions
Consider a scenario where a hospital uses AI to predict patient diagnoses. If that artificial intelligence algorithm pulls data from an unverified or outdated database, the predictions could be dangerously wrong. And this is actually one of AI’s biggest challenges: data integrity.
Large amounts of data don’t automatically translate to effective AI solutions. You want to ensure that your data is of high quality to avoid compromising your artificial intelligence models. But interestingly, many people always overlook this, expecting this technology to deliver powerful insights quickly.
Looking at the consequences, this is not a route you want to take. Gartner released a report along these lines, noting that companies that overlook data quality can lose up to $12.9 million annually. This is why many businesses and developers have been turning to blockchain to avoid such losses.
Because of its immutability, blockchain ensures that no one can change or alter data after it is stored. This makes it a perfect environment for training artificial intelligence models that rely on real-world data.
Pushing AI beyond central control
Since its inception, big corporations have been controlling AI. Think Google, Amazon or Meta- all operating massive data centers with enormous amounts of user data and refining artificial intelligence models in private labs. But as you may know, centralization has a problem of limited visibility into algorithmic decisions, which introduces questions about transparency.
This challenge is perhaps why, according to BusinessWire, 75% of Americans prefer decentralized AI over centralized AI. Small developers and startups also have a great challenge accessing high-quality data and computing power in centralized systems, which limits innovation. Thankfully, blockchain can actually help overcome these challenges.
With blockchain, even smaller entities can have the power to train, contribute and benefit from AI without relying on centralized gatekeepers. That’s why platforms like Ocean Protocol have been gaining traction. Ocean Protocol unlocks the true value of data through its decentralized infrastructure, which allows data providers and consumers to connect directly with each other.
Remember, data is like the new digital gold. Almost every customer wants businesses to understand their unique preferences, and this is only possible through data. But again, only specific corporations control this data, which may compromise its integrity, resulting in poor customer forecasts. Unfortunately, Precisely cites this data quality issue as the main challenge for a staggering 64% of individuals.
But all hope is not gone. Besides Ocean Protocols, other platforms like Fetch.ai are working wonders. Fetch.ai is an open platform focused on building a decentralized digital economy using AI-powered autonomous agents. It aims to enable the creation of smart, autonomous services by connecting artificial intelligence agents with each other and real-world systems.
Fighting fraud, deepfakes and misinformation
As technology advances, so do threat actors. In fact, Security Magazine recently published an article in which 80% of data experts cited AI’s popularity as one reason for increased data security challenges. As if that’s not enough, 52% are concerned that users could expose sensitive information to LLMs through prompts.
Then there are deepfakes, which have become prevalent in this information age. Scammers are using artificial intelligence to convincingly alter or fabricate media files to make them appear as if someone is saying or doing something they never did. According to Grand View Research, the global deepfake market has, surprisingly, already hit $764.8 million. It’s on its way to reaching $6.14 billion soon, growing at a CAGR of about 42.3%.
Since distinguishing real from fake is getting more challenging, you need an ultimate authenticity checker like blockchain. By timestamping content creation and storing images and videos on an immutable ledger, this technology can help verify source information and identify whether someone has tampered with the content.
The good news is that projects like Numbers Protocol are already using blockchain to create verifiable digital media libraries. In financial circles, blockchain combined with AI can make it harder for fraudsters to slip through the cracks. With artificial intelligence, you can analyze thousands of transactions per second to spot anomalies, while blockchain helps you improve the traceability and verifiability of transactions.
Considering all these possibilities, it actually makes sense that Business Research Company expects the global market for these two technologies to increase. Especially now that data integrity and cybersecurity concerns are growing, more developers and businesses could turn to these technologies to stay ahead.
