Peak State Consulting forecasts $6.4 trillion AI market by 2030

Peak State Consulting has released a 116-page enterprise AI report that projects the global AI market will reach $6.40 trillion by 2030. The report says the next phase of AI will be defined by governance, data readiness, workforce change and whether companies can move from pilots to production.

Why it matters: - Peak State Consulting says enterprise AI is shifting from experimentation to execution, turning AI into a board-level test of productivity, cost control, speed and governance. - The report projects a $6.40 trillion global AI market by 2030, with enterprise-facing AI infrastructure and software reaching $2.60 trillion. - The forecast suggests the biggest winners will be companies that can turn AI into measurable business value instead of pilot projects.

What happened: - Peak State Consulting published Enterprise AI: Opportunities, Challenges & The C-Suite Imperative, a 116-page report on the AI market. - The report was released in London on 25 June 2026. - Anuj R Khanna, CEO of Peak State Consulting, authored the report. - Peak State Consulting made the report available free to download as the full report. - Khanna said enterprise AI winners will be organisations that can govern AI, prepare data, redesign workflows, train people and turn pilots into production value.

The details: - Peak State Consulting’s 10 predictions include agentic AI displacing 50% of knowledge-worker task workflows by 2028. - The report forecasts that 60% of enterprises will experience an AI governance failure by 2027. - It says hyperscale platforms will control more than 50% of enterprise AI infrastructure spend by 2030. - It predicts AI talent scarcity will peak in 2027–2028. - It says mature AI governance may command 15% to 25% valuation premiums by 2030. - It forecasts the EU AI Act will force re-architecting for 70% of European enterprises. - It says Chinese AI providers will capture significant enterprise API token spend. - It expects AI product, programme, security, legal compliance and governance skills to become critical hiring priorities. - It forecasts AI will become the primary interface between enterprises and data. - It says AI programme ROI may become a mandatory board-level reporting metric. - The report identifies five requirements for successful enterprise AI deployment: board-level ownership and named executive accountability, AI-ready data foundations, governance before scale, use cases prioritised by business value and workforce reskilling with AI literacy. - Peak State Consulting says many enterprises will remain trapped in pilot programmes if those foundations are missing. - Khanna said AI strategy without execution infrastructure is just a presentation.

Between the lines: - The report frames AI governance as both a risk control and a potential valuation driver. - Peak State Consulting expects investors to separate companies with measurable AI returns from those with only AI messaging. - The report says data preparation typically consumes 40% to 60% of total AI implementation effort, making data quality a central constraint. - It says poor lineage, weak access rights, fragmented systems and low-quality data remain barriers to production deployment. - The report warns that sovereign AI is becoming an operational issue for multinational companies because regulation, data residency, export controls and cloud sovereignty now shape technology decisions. - Peak State Consulting says AI agents should be treated as privileged users because they can act inside enterprise systems and create operational and cybersecurity risks. - Khanna said governance is what allows AI to scale safely. - Khanna also said routine knowledge-work automation could cause considerable job losses, making reskilling and redeployment urgent priorities.

What's next: - Peak State Consulting expects 50% of enterprise applications to embed AI agents by 2027. - The report says enterprises will likely need multi-region AI architectures to meet regulatory and data requirements across major markets, including the United States, Europe, China, India and the Middle East. - The report suggests boards will face increasing pressure to name executive owners, set measurable targets and report AI returns more rigorously. - Khanna said the companies most admired a decade from now will use AI to move people into higher-value work rather than simply cutting headcount.

The bottom line: - Peak State Consulting’s core message is that the AI race is no longer about access to models. It is about whether enterprises can build the data, governance and operating model needed to convert AI into durable business results.