Enterprise AI process market on course to top $113 billion

The News

Enterprise software that uses artificial intelligence to streamline back-office operations is on track to become one of technology's largest categories. Research cited in a new MIT Technology Review Insights report, produced with the business-services group Teleperformance, projects that the market for AI-powered process optimisation will exceed $113 billion within the next decade.

The report, published on 2 July, also found that 88% of business leaders expect to raise their spending on AI-infused process intelligence over the next 12 to 18 months. Its central argument runs against the popular assumption that AI simply replaces human workflows. Instead, it contends that companies with mature process-management disciplines are the ones best placed to extract value from the technology.

The framing leans on two long-established management systems: Lean Six Sigma, built around statistical quality control, and business process management, or BPM, which maps how work moves between departments. The report's thesis is that these frameworks and AI amplify one another rather than competing.

Why It Matters

For years the pitch around automation has been substitution: software doing what people once did, more cheaply. This report reframes the opportunity as amplification, and that shift matters for how boards budget. If existing process rigour is the multiplier on AI returns, then the winners will be organisations that already documented and measured their workflows, not those bolting models onto chaos.

There is a historical rhyme here. When robotic process automation swept enterprise IT in the late 2010s, many buyers discovered that automating a broken process only produced faster mistakes. The current wave carries the same risk at a larger scale, because generative models can act with far more autonomy than the rule-based bots that came before them. A $113 billion market forecast is a signal that vendors expect the spending to arrive regardless.

Indian Angle

Nowhere is this trend more consequential than in India, whose IT-services and business-process industry is the global backbone of exactly the work being reshaped. Teleperformance, the report's sponsor, runs one of the country's largest customer-experience operations, employing tens of thousands of people across metros and tier-two cities. The three domestic majors, Tata Consultancy Services, Infosys and Wipro, have built decades of revenue on process outsourcing that this technology now targets.

The amplification thesis is double-edged for them. Indian providers hold deep Six Sigma and BPM expertise, arguably the world's largest concentration of certified process talent, which positions them to sell AI-led transformation rather than merely cheap seats. But the same logic threatens the headcount-linked billing model that funded the sector's rise. If one engineer supervising an AI system replaces a floor of agents, the per-seat economics that built Bengaluru and Gurugram come under pressure.

For Indian investors, the read-through is that services firms will increasingly be judged less on how many people they employ and more on how much process intelligence they can package and sell. NASSCOM has already flagged this pivot; a $113 billion forecast puts a number on the prize.

FAQ

When was the report published?

MIT Technology Review Insights published it on 2 July 2026. The findings were produced in partnership with Teleperformance, a global business-services company, so the numbers should be read as vendor-cited research rather than independent audit.

What is the headline figure?

The report projects the AI-powered process-optimisation market will surpass $113 billion within the next decade, with 88% of business leaders planning to increase related spending over the coming 12 to 18 months.

What does this mean for Indian IT firms?

It rewards process expertise, which India holds in abundance, but pressures the headcount-based billing model. Firms that sell AI-led transformation stand to gain, while those reliant on seat-count revenue face harder questions about margins and growth.

Where can I read the original?

The full analysis is available on the MIT Technology Review website, linked in the attribution below.

This story was reported by MIT Technology Review. Read the full original coverage at MIT Technology Review.