According to market research firm Spherical Insights, which has been working in the industrial automation, smart manufacturing, Industry 4.0, artificial intelligence, robotics, and digital transformation sectors for the last 10 years, the increasing adoption of AI-powered production systems, industrial robotics, digital twins, predictive maintenance solutions, and connected factory technologies is accelerating the transformation of manufacturing operations worldwide. The Global Smart Manufacturing Market was valued at approximately USD 320.40 billion in 2024 and is projected to reach around USD 1.15 trillion by 2035, expanding at a CAGR of 12.35% during the forecast period 2025–2035.
For decades, global manufacturing was largely shaped by one dominant factor: labor cost. Companies built factories in regions where wages were low, transportation networks were efficient, and production could be scaled at minimal expense. This strategy helped create global manufacturing powerhouses across Asia and fueled the growth of complex international supply chains. However, the rise of artificial intelligence (AI), industrial automation, robotics, and smart manufacturing technologies is transforming this traditional model. Today, manufacturers are increasingly choosing locations based not only on labor costs but also on access to digital infrastructure, skilled talent, energy availability, data ecosystems, and government support for advanced technologies.
The result is a new geography of manufacturing in which production hubs are emerging in regions that can support AI-driven operations, automated factories, and intelligent supply chains. As countries compete to attract high-tech industries, AI is becoming a key factor influencing where products are designed, produced, and distributed across the world.
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Why AI Is Changing Manufacturing Location Decisions
Historically, labor-intensive industries sought locations with abundant low-cost workers. AI and automation are reducing dependence on manual labor by enabling machines to perform tasks that previously required large workforces. Advanced robotics, computer vision systems, predictive maintenance platforms, and digital twins now allow factories to operate with higher efficiency and fewer human interventions.
As labor becomes a smaller component of production costs, manufacturers are prioritizing factors such as:
- Availability of AI talent and engineering expertise
- Access to reliable electricity and renewable energy
- High-speed digital connectivity and cloud infrastructure
- Proximity to semiconductor and technology ecosystems
- Government incentives for advanced manufacturing
- Supply chain resilience and geopolitical stability
This shift is encouraging companies to establish manufacturing facilities closer to consumer markets and innovation centers rather than concentrating production solely in low-cost regions.
The Rise of Smart Manufacturing Hubs
Countries investing heavily in Industry 4.0 technologies are becoming attractive destinations for next-generation manufacturing. Smart factories use AI to optimize production schedules, monitor equipment performance, improve quality control, and reduce waste.
Several regions are emerging as global leaders:
United States
The United States is experiencing a manufacturing revival driven by semiconductor investments, AI innovation, and industrial automation. Federal initiatives supporting domestic chip production and advanced manufacturing are encouraging companies to build new facilities across states such as Arizona, Texas, Ohio, and New York.
China
China remains the world’s largest manufacturing nation and continues to integrate AI into industrial operations. Massive investments in smart factories, robotics, and digital manufacturing are helping Chinese manufacturers improve productivity while maintaining global competitiveness.
India
India is rapidly positioning itself as a major manufacturing destination through initiatives such as Make in India, Production Linked Incentive (PLI) schemes, and investments in electronics manufacturing. AI adoption across automotive, electronics, and industrial sectors is strengthening the country’s role in global supply chains.
Southeast Asia
Countries including Vietnam, Thailand, Malaysia, and Indonesia are attracting manufacturers seeking supply chain diversification. AI-enabled production facilities and growing digital infrastructure are supporting the development of advanced manufacturing ecosystems throughout the region.
How AI Is Accelerating Reshoring and Nearshoring
One of the most significant consequences of AI-driven manufacturing is the growing trend of reshoring and nearshoring.
Reshoring involves bringing production back to a company’s home country, while nearshoring relocates manufacturing closer to key consumer markets. AI and automation reduce labor cost advantages that previously justified offshore production, making domestic manufacturing more economically viable.
Benefits include:
- Faster delivery times
- Reduced transportation costs
- Improved supply chain visibility
- Enhanced product customization
- Greater resilience against global disruptions
As a result, many manufacturers are reevaluating global production strategies and investing in highly automated facilities closer to customers.
The Semiconductor Factor
Semiconductors have become the foundation of AI-powered manufacturing. Every intelligent machine, robot, sensor, and automation platform depends on advanced chips for processing and decision-making.
The race to secure semiconductor supply chains is influencing manufacturing investments worldwide. Governments are supporting chip fabrication plants, advanced packaging facilities, and electronics manufacturing clusters to strengthen industrial competitiveness.
Regions with strong semiconductor ecosystems are increasingly attracting AI-related manufacturing investments because they provide direct access to critical technologies needed for smart factory operations.
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AI-Powered Supply Chains Are Redefining Industrial Networks
Manufacturing geography is no longer determined solely by factory locations. AI is creating intelligent supply chains capable of analyzing vast amounts of data in real time.
These systems can:
- Predict demand fluctuations
- Optimize inventory management
- Identify supply chain disruptions
- Improve logistics efficiency
- Reduce operational costs
Companies that leverage AI-driven supply chains can respond more quickly to market changes, allowing them to establish manufacturing networks that are more flexible and resilient than traditional models.
Sustainability Is Becoming a Competitive Advantage
Environmental sustainability is playing an increasingly important role in manufacturing location decisions. AI helps companies monitor energy consumption, reduce emissions, optimize resource utilization, and improve operational efficiency.
Regions with access to renewable energy resources and strong sustainability policies are becoming attractive destinations for industrial investment. Many manufacturers are selecting locations that support both digital transformation and long-term environmental goals.
As governments introduce stricter carbon regulations and sustainability requirements, AI-enabled green manufacturing is expected to become a key competitive differentiator.
Challenges Facing the New Manufacturing Landscape
Despite its benefits, AI-driven manufacturing also presents several challenges:
- Shortages of AI and automation specialists
- High implementation costs for advanced technologies
- Cybersecurity risks in connected factories
- Data privacy and governance concerns
- Uneven digital infrastructure across regions
- Geopolitical tensions affecting technology supply chains
Addressing these challenges will require collaboration among governments, technology providers, manufacturers, and educational institutions.
Future Outlook
Over the next decade, AI is expected to become one of the most influential forces shaping global manufacturing. The countries that successfully combine advanced technology capabilities, skilled workforces, robust infrastructure, sustainable energy resources, and supportive industrial policies will emerge as the manufacturing leaders of the future.
Rather than concentrating production in a few low-cost regions, manufacturing will become increasingly distributed across a network of AI-enabled industrial hubs. Smart factories, intelligent supply chains, and automated production systems will redefine industrial competitiveness and create new opportunities for economic growth.
Tata Electronics Onboards Malaysian Cleanroom Specialist IAQ Group For Dholera Fab
Tata Electronics has partnered with Malaysian cleanroom specialist IAQ Group for its upcoming semiconductor fab in Dholera. This collaboration aims to ensure the facility meets stringent cleanroom standards, a critical factor for semiconductor manufacturing. IAQ Group’s expertise will be crucial for timely execution and de-risking the cleanroom readiness bottleneck.
Tata Electronics has joined hands with Malaysian cleanroom specialists IAQ Group for its upcoming 300 mm (12 inch) semiconductor fab in Dholera, people aware of the developments told ET. This marks another crucial partnership the company has sealed as India’s first fab gradually comes to life, they said.
A cleanroom is a necessity in semiconductor fab to minimize contaminants that can adversely affect the precision and functionality of semiconductor devices.
“IAQ is widely known for its expertise and has worked with leading companies globally including Texas Instruments and Infineon on their cleanrooms,” one person cited above said. “They will design and install the cleanroom on a turnkey basis. This will be hugely beneficial for Tata Electronics as the cleanroom is arguably one of the most important aspects of any fab facility and one cannot afford to slip up there.”
Queries sent to Tata Electronics and IAQ Group remained unanswered as of press time Wednesday.
Founded in 1994, the IAQ Group is a leading Malaysia-based total facility solutions provider with technical excellence in hi-tech facility solutions.
For Tata Electronics, partnering with a firm like IAQ ensures that the large cleanroom at their ambitious $11 billion project is built out to the stringent standards needed for such facilities.
“As a recognized cleanroom specialist, IAQ takes the lead in constructing facilities that not only meet but exceed industry standards, ensuring an environment that aligns seamlessly with the demands of cutting-edge semiconductor technology,” IAQ Group said on its website.
Ashwath Rao, senior analyst at Counterpoint Research, said the partnership comes at a time when global EPC (engineering, procurement, and construction) cleanroom capacity is currently stretched due to AI-driven fab expansion worldwide.
“Cleanroom readiness is the critical bottleneck for tool installation and fab ramp-up,” he explained. “Tata’s first fab will need speed, execution certainty, and fast commissioning. Tata’s immediate priority is not just building manufacturing capability but also schedule certainty for tool move-in and ramp-up. Regional specialists like IAQ will help de-risk the cleanroom readiness bottleneck that sits on the critical path to production.”
He added this sort of partnership makes it more execution-friendly for regional EPC players like IAQ, strategically well-aligned for Tata’s first fab phase.
“In fact, many successful semiconductor projects in Asia have relied on regional engineering specialists as any delay in the set-up of cleanroom facilities and every downstream activity gets delayed,” Rao said.
He added that India introduces a ‘first-generation semiconductor ecosystem challenge’ where cleanroom execution must be built alongside evolving supply chains, talent depth, and utility infrastructure. Unlike Malaysia or Taiwan, there is no default playbook that already works locally, he said.
“IAQ will need to manage integration complexity with global tool vendors while adapting to higher environmental variability and compressed timelines,” Rao said. “IAQ’s challenge will be executing and maintaining semiconductor-grade cleanrooms in a rapidly evolving, first-generation fab ecosystem with limited local precedents and high global synchronization pressure.”
The facility will manufacture semiconductors for a variety of applications across automotive, mobile devices, artificial intelligence (AI), and other key segments to serve customers globally.
Tata Electronics has strategically partnered key global customers and ecosystem companies, starting with PSMC (Powerchip Semiconductor Manufacturing Corporation, Taiwan) gaining access to a broad technology portfolio including 28nm, 40nm, 55nm, 90nm, and 110nm.
Construction of the plant is progressing rapidly, and the company has announced a slew of strategic partnerships since. Recently, Tata Electronics inked pacts with equipment maker ASML as well as American chipmaker Intel to manufacture and package its products for local markets.
Global Semiconductor Projects
February 2026 highlighted the continued acceleration of semiconductor investment and ecosystem development across the world. Governments, universities, and technology companies announced new fabrication facilities, advanced packaging plants, research programs, and workforce initiatives designed to support the growing demand for AI, data centre infrastructure, and next-generation chip technologies. From major OSAT facilities in India to research pilot lines in Taiwan and new semiconductor education programs in Ireland, the industry is strengthening its global innovation network while expanding production capacity. This month’s developments demonstrate how semiconductor growth now spans the entire value chain from research and talent development to manufacturing infrastructure and global supply chain expansion.
Industry Information
Fab Builders Make Big Moves Major engineering and construction firms are positioning themselves to support the growing wave of semiconductor megaprojects worldwide. Companies such as Fluor are strengthening their advanced technologies divisions by appointing experienced industry leaders and expanding their capabilities in cleanroom construction, advanced manufacturing infrastructure, and semiconductor project delivery.
Intel’s Kevin O’Buckley joins Qualcomm Kevin O’Buckley, currently senior vice-president and general manager of Intel Foundry Services (IFS), is set to join Qualcomm as executive vice-president of global operations and supply chain on 2 March. At Qualcomm, O’Buckley will oversee global semiconductor operations, including manufacturing engineering, foundry and supplier partnerships, supply chain strategy and procurement. He will report directly to Akash Palkhiwala, the company’s executive vice-president, chief financial officer and chief operating officer.
Bechtel Overhauls Project Delivery Global engineering firm Bechtel is modernising how large-scale semiconductor facilities are designed and delivered. The company is implementing new technologies and project execution strategies aimed at improving construction productivity, reducing timelines, and supporting the growing pipeline of semiconductor fab projects worldwide.
Suffolk Builds on Semiconductor Division with Clem Woods Construction company Suffolk has strengthened its semiconductor division with the appointment of Clem Woods, an industry veteran with decades of experience in large-scale advanced manufacturing facilities. The move reflects the growing demand for specialised construction expertise as semiconductor megaprojects accelerate globally.
USA Projects
Intel’s New Albany Project Timeline UpdateIntel has provided an updated timeline for its major semiconductor manufacturing campus in New Albany, Ohio. The multi-billion-dollar project remains one of the largest semiconductor investments in the United States and will ultimately include multiple advanced fabrication facilities designed to support next-generation chip production and strengthen domestic semiconductor capacity.
Lam Research Widens Investment in U.S. Semiconductor Manufacturing Lam Research is expanding its U.S. operations to support advanced memory manufacturing and collaborative research efforts with major chip producers such as Micron. The investment aims to strengthen domestic semiconductor supply chains and accelerate innovation in equipment technologies essential for high-volume chip production.
Echodyne to Open Major New Manufacturing Facility Radar technology company Echodyne is building a new 86,350-square-foot manufacturing facility designed to produce more than 30,000 radar units per year. The modular facility will allow the company to flex production capacity and introduce new product lines efficiently as demand grows in aerospace, defence, and advanced sensing technologies.
SK hynix Pushes on with Plant Construction Construction continues on SK hynix’s $4.09 billion advanced packaging facility in West Lafayette, Indiana. The plant will focus on next-generation High Bandwidth Memory (HBM) technologies used in AI computing systems and is expected to play a critical role in the expanding AI semiconductor supply chain.
Tesla to Build an In-House Terafab Is Tesla actually planning to develop an in-house “Terafab” manufacturing facility? With Teslas drive to to produce next-generation AI hardware and semiconductor technologies for its autonomous driving and robotics platforms. This may not be out of the realm of reality. This announcement reflects a broader trend of technology companies moving deeper into semiconductor development and manufacturing infrastructure to secure supply chains and optimise specialised chip design for AI workloads.
Arizona Chip Boom at Early-Stage Arizona continues to emerge as one of the most important semiconductor hubs in the United States, with major investments from suppliers in building a rapidly expanding chip manufacturing ecosystem. Recent developments highlight the early stages of a broader industry cluster forming in the state, combining fabrication plants, supplier networks, and advanced infrastructure to support long-term semiconductor production growth.
European Projects
ESMC Event at Dresden Fab Site Construction progress continues at the ESMC semiconductor fab site in Dresden, Germany. The project has entered the next stage of development, including façade installation and interior fit-out for multiple office and support buildings that will form the operational headquarters and customer engagement centre for the facility.
Infineon to Invest €500M in Semiconductor ExpansionInfineon Technologies has announced plans to invest €500 million to expand semiconductor manufacturing capabilities. The investment will support increased production capacity and further development of power semiconductor technologies used in automotive, renewable energy, and industrial applications. The project highlights Europe’s continued focus on strengthening its semiconductor supply chain and expanding advanced manufacturing capabilities within the region.
Amazon to Invest $21B in Spain’s AI InfrastructureAmazon has announced a major $21 billion investment in Spain aimed at expanding AI and cloud infrastructure. The initiative will significantly increase data centre capacity and computing power, supporting Europe’s growing demand for artificial intelligence applications while reinforcing the region’s digital and semiconductor ecosystem.
Israel’s $1.5B Data Center ProjectIsrael is developing its largest data centre project to date, valued at approximately $1.5 billion. The hyperscale facility will support growing demand for cloud computing, AI processing, and high-performance digital infrastructure, strengthening the country’s role as a regional technology hub.
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Conclusion
The new geography of manufacturing is no longer being defined by low-cost labor alone it is increasingly shaped by artificial intelligence, semiconductor ecosystems, digital infrastructure, and advanced industrial capabilities. Recent developments, from Tata Electronics’ semiconductor fab in India and Intel’s manufacturing expansion in the United States to Amazon’s AI infrastructure investments in Europe and the rapid growth of advanced packaging facilities worldwide, demonstrate how governments and corporations are actively repositioning global production networks to support the AI economy. As smart factories, digital twins, robotics, and AI-powered supply chains become mainstream, manufacturing hubs are emerging in regions that can provide technological expertise, resilient infrastructure, skilled talent, and reliable access to advanced semiconductors. The global race is no longer simply about producing goods; it is about controlling the technologies that power the future of industry. Countries that successfully integrate AI, advanced manufacturing, semiconductor production, and digital infrastructure will become the next generation of industrial leaders, reshaping global trade, investment flows, and economic competitiveness through 2035 and beyond.