Industrial logic behind the M&A wave: What is happening to US manufacturing

The Industrial Logic Behind the M&A Wave: What Is Happening in U.S. Manufacturing

In 2026, M&A activity in U.S. industrial manufacturing set a new record. According to PwC's latest mid-year outlook, total transaction value over the past 12 months climbed to $173 billion, a 28% increase from $135 billion in 2025. This is not simply a cyclical recovery but reflects a profound shift in industrial structure.

Key Observations

1. Demand convergence replacing single-market logic: Three demand streams—AI infrastructure, grid modernization, and defense resilience—are simultaneously targeting the same industrial base: power equipment, thermal management, automation, and advanced components. This has shifted asset valuation logic from "serving one market" to "serving multiple markets." 2. Mega-deals dominate but deal structures diverge: Deals over $5 billion accounted for 56% of total value. Excluding these mega-deals, the average deal size still grew from $155 million in 2024 to $375 million, a 139% increase. Buyers are willing to pay a premium for "transformational capabilities." 3. Corporate refocusing drives spin-offs: 69% of large acquirers also conducted asset divestitures, with Honeywell's three-way split being a prime example. Non-core assets entering the market create opportunities for specialized buyers. 4. Cross-border M&A surges: Cross-border deals rose from 30% of total in 2022 to 56%. U.S.-target deals nearly doubled to $72 billion in 2025. Supply chain restructuring and friend-shoring are the main drivers.

Why Is This Happening?

The root cause is that U.S. manufacturing is undergoing three structural transformations:

First, overlapping infrastructure investment cycles. The Infrastructure Investment and Jobs Act (2021), the CHIPS and Science Act (2022), and the Inflation Reduction Act have jointly spurred grid upgrades, semiconductor fab construction, and clean energy projects. These projects are long-cycle, capital-intensive, and highly reliant on the same supplier base. When AI data center construction demand exploded, bottlenecks emerged in power equipment, thermal management, and automation controls. Companies are acquiring scarce capacity through M&A.

Second, corporate strategy shifting from diversification to focus. Over the past decade, industrial giants favored diversification; now they are being forced back to core businesses. Companies like Honeywell and 3M are divesting non-core units, such as auto parts and advanced materials. These divested assets often have technology barriers but lack scale, making them targets for mid-sized buyers.

Third, geopolitical uncertainty becoming a constant. Tariffs, export controls, and supply chain risks are no longer seen as temporary fluctuations but long-term variables. Companies are restructuring supply chains through cross-border M&A—for example, U.S. firms acquiring Mexican suppliers, or European companies buying U.S. thermal management firms. The share of cross-border deals rising from 30% in 2022 to 56% directly reflects this hedging logic.

Which Industries Will Benefit?Power Equipment and Thermal Management are the biggest beneficiaries. For every 1MW of computing power added in an AI data center, 0.5-1MW of cooling and power equipment is required. Grid upgrades also demand transformers, switchgear, and energy storage systems. The defense sector is seeing growing demand for high-reliability power supplies. The combination of these three types of demand has resulted in a valuation premium of 15%-30% for companies with relevant capabilities.

Automation and Control Systems come next. Smart factories, digital workshops, and robot integrators are active players in the M&A market. A PwC report notes that investors now require automation companies to demonstrate AI's specific contribution to the profit and loss statement—productivity improvements, labor cost savings, and predictive maintenance savings. Assets that can quantify these metrics command higher premiums.

Advanced components (e.g., semiconductor power devices, sensors, precision machinery) are also highly sought after. These assets serve electric vehicles, industrial automation, and defense simultaneously, making them resilient to risk.

Which industries will face pressure?

Pure auto parts suppliers are under pressure. With the slowdown in electrification transition, traditional internal combustion engine-related assets are being divested. At the same time, consolidation within the automotive industry (e.g., the Stellantis-Leapmotor partnership) is leading to a decline in supply chain status.

Companies dependent on a single market. For example, valve manufacturers serving only the oil and gas sector, or material companies serving only residential construction. Under the major trend of demand convergence, these assets face weakened buyer bargaining power.

Automation companies lacking AI capabilities. Investors have begun to quantitatively assess “AI stories.” Companies that cannot provide specific productivity improvement data will face valuation discounts, even if they possess technological capabilities.

What does this mean for U.S. manufacturing?

The M&A wave is accelerating the reshaping of U.S. manufacturing. First, production capacity is concentrating among top technology-intensive companies. The share of mega-deals (over $5 billion) is expected to increase from 18% in 2024 to 56% in 2026, meaning resources are flowing to a few players. Second, the rise in cross-border M&A shows that the U.S. remains the preferred destination for global capital, but supply chains are no longer fully localized; instead, a "U.S. + nearshoring" dual-center structure is forming. Third, the wave of corporate spin-offs will release a large number of specialized assets, helping to create hidden champions in niche areas.

What does this mean for supply chains?

Supply chains are shifting from a linear structure to a network structure. In the past, auto parts were supplied to automakers and power equipment to grid companies. Now, a power equipment manufacturer may simultaneously supply AI data centers, grid projects, and defense systems. This "multi-stream output" model requires suppliers to have greater flexibility and quality systems. M&A can help companies quickly fill gaps in multi-sector certifications and customer relationships.

What does this mean for corporate investment?Investment decisions need to shift from "single themes" to "integrated themes." For example, betting solely on electric vehicle charging infrastructure may expose one to changes in government subsidies, but combining it with grid energy storage and backup power for AI data centers can spread risk. PwC recommends that acquirers prioritize assets that can serve 2-3 demand streams. For industrial companies, spinning off non-core businesses has become a tool for unlocking value. More companies may follow Honeywell-style divestiture plans.

What does it mean for the next 5 years?

Over the next five years, M&A in U.S. industrial manufacturing will remain high, but the structure will further diverge. The peak of AI infrastructure and grid investment may occur in 2028–2030, when valuations could decline. However, defense resilience spending will continue to grow. Companies will pay more attention to "asset turnover"—improving utilization of existing capacity through post-merger integration. Additionally, as the U.S. election cycle (2028) approaches, policy uncertainty may once again drive cross-border transactions to hedge against tariff risks.

M&A is no longer a capital game but a survival strategy for the U.S. industrial system to adapt to multiple demand shocks.