전기자동차 배터리 자동화 시장 예측(-2032년) : 구성 요소별, 프로세스별, 배터리 유형별, 용도별, 최종 사용자별, 지역별 세계 분석

According to Stratistics MRC, the Global Electric Vehicle (EV) Battery Automation Market is accounted for $7.40 billion in 2025 and is expected to reach $16.35 billion by 2032 growing at a CAGR of 12% during the forecast period. Electric Vehicle (EV) battery automation involves using robotics, smart software, and machine-controlled systems to streamline battery production and testing. These automated setups improve accuracy in tasks like electrode preparation, cell assembly, and thermal control, reducing human-based errors. By adopting automation, battery plants can expand production speed, maintain uniform quality, and enhance workplace safety. Automated data tracking supports predictive maintenance and optimized material usage, making manufacturing more cost-effective. With the rise in EV adoption worldwide, automation helps companies deliver high-quality lithium-ion batteries at scale, with fewer defects and quicker turnaround. This technological shift strengthens reliability, boosts productivity, and ensures consistent performance standards.

According to data from India's Open Government Data (OGD) Platform, over 3.4 million electric vehicles were registered in India between FY 2019-20 and FY 2023-24. This surge in EV adoption is directly increasing demand for automated battery pack assembly, testing, and recycling infrastructure.

Market Dynamics:

Driver:

Rising global EV production

Increasing electric vehicle penetration, supported by government incentives and emission reduction targets, has accelerated EV manufacturing capacity worldwide. To match rapid growth, battery makers require automation to handle large-scale cell production with stable quality and lower operational cost. Robotic systems and automated inspection equipment enhance precision, minimize defects, and deliver faster throughput compared to manual processes. Automation also enables continuous production, boosts safety, and optimizes resource usage. With automakers shifting toward large gigafactories, automated battery assembly becomes essential for standardized output. As EV demand escalates, companies depend on automation to deliver high-performing lithium-ion batteries quickly, efficiently, and at competitive pricing, ensuring reliable global supply.

Restraint:

High initial investment and infrastructure costs

Automated EV battery production demands substantial financial resources for robotics, automated testing units, thermal management systems, and clean manufacturing environments. Smaller companies face difficulties investing in large-scale automated facilities due to high purchasing, integration, and maintenance expenses. Additional costs come from software licensing, skilled operator training, and continuous system calibration. Because battery materials and manufacturing standards change rapidly, automated equipment must be upgraded periodically, increasing long-term financial commitments. For many regions with limited industrial funding and technical capability, adopting automation becomes challenging. As a result, capital barriers slow down industry-wide transition, keeping some manufacturers dependent on semi-automated or manual assembly methods instead of full-scale automation.

Opportunity:

Advancement of solid-state and next-generation battery technologies

New battery types such as solid-state, high-silicon, and lithium-sulfur cells require advanced automation capable of handling sensitive materials with extreme precision. Manual methods cannot provide the accuracy needed for thin-layer electrode coating, sealing, and controlled electrolyte processing. Automated equipment ensures uniform chemistry, improves safety, and prevents contamination. As companies push next-generation batteries toward mass-production, they will demand specialized robotic tools, machine-vision inspection, and precision thermal management systems. This shift gives automation manufacturers opportunities to design upgraded assembly lines and customized software platforms. The commercialization of new chemistries will accelerate demand for cutting-edge automation solutions across research labs and full-scale gigafactories.

Threat:

Supply chain instability and raw material shortages

The EV battery automation industry is highly vulnerable to raw material scarcity and supply chain disruptions. Limited sources of lithium, cobalt, and nickel, combined with export restrictions and transport bottlenecks, create uncertainty for large-scale battery production. Automated factories cannot operate efficiently when material supply is inconsistent, which reduces production output and increases financial risk. Volatile mineral prices also make it challenging for companies to plan equipment investments or automation upgrades. Since many battery minerals are concentrated in specific countries, regional instability impacts the entire supply chain. These challenges discourage manufacturers from expanding automated facilities, slowing the long-term growth of automation technologies.

Covid-19 Impact:

COVID-19 caused temporary setbacks in the EV Battery Automation Market by forcing production closures, restricting workforce movement, and interrupting global logistics. Shortage of components and delayed machinery shipments slowed installation of automated lines and halted expansion plans. Many manufacturers shifted budgets toward essential operations, pausing automation investments in the short term. Yet the pandemic highlighted the value of automation for operating with limited staff, improving safety, and ensuring business continuity. As economies reopened, companies accelerated adoption of robotics, remote data analytics, and smart manufacturing tools. Government EV incentives and sustainability targets further boosted recovery, driving renewed demand for automated battery production technologies.

The lithium-ion (Li-ion) segment is expected to be the largest during the forecast period

The lithium-ion (Li-ion) segment is expected to account for the largest market share during the forecast period because it is the preferred choice for modern electric vehicles requiring high performance and long driving ranges. Producing Li-ion batteries demands extreme precision, encouraging manufacturers to adopt robotics, automated material feeding, coating machines, and advanced quality inspection tools. AI-enabled monitoring and machine vision reduce human errors and support consistent cell performance. Automation also helps achieve faster production cycles and safer handling of sensitive materials, making Li-ion batteries ideal for large-scale EV output. With increasing deployment of gigafactories, Li-ion remains the leading chemistry benefiting from advanced automated processes and intelligent manufacturing systems.

The stationary energy storage systems (ESS) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the stationary energy storage systems (ESS) segment is predicted to witness the highest growth rate because they are essential for renewable energy storage, grid balancing, and uninterrupted power supply. These systems require large-format battery modules built through automated stacking, welding, thermal regulation, and advanced quality inspection. Automation ensures longer battery life, stable discharge rates, and safer operation, which are critical for utility-scale installations. Increased investments in solar parks, wind farms, and smart grid infrastructure are pushing manufacturers to scale ESS production using robotics and digital monitoring tools. With rising global focus on clean energy and large storage capacity, ESS experiences the highest automation-driven growth.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share because it leads global battery production and automation integration. Major cell producers and gigafactories in China, Japan, and South Korea rely on robotics, machine vision, and AI-based quality testing to deliver large output with consistent accuracy. The region offers a mature ecosystem for raw material sourcing, supply chain coordination, and skilled engineering talent. Growing electric vehicle sales and rising energy storage installations drive further demand for highly automated manufacturing lines. With strong government incentives and continuous technological improvements, Asia-Pacific remains the key hub driving advancement and adoption of EV battery automation.

Region with highest CAGR:

Over the forecast period, the Europe region is anticipated to exhibit the highest CAGR as manufacturers accelerate gig factory construction and automated battery production. Growing EV adoption, carbon-neutral goals, and government funding encourage the use of robotics, digital monitoring, and predictive quality systems in cell and module assembly. Automakers aim to reduce foreign battery dependence by creating local automated supply chains that ensure consistent quality and shorter delivery times. Europe's focus on advanced battery materials, recycling infrastructure, and solid-state development increases demand for precise automated tools. With strong innovation, sustainability targets, and industrial digitalization, Europe remains the highest growth rate region in this market.

Key players in the market

Some of the key players in Electric Vehicle (EV) Battery Automation Market include Siemens AG, Dassault Systems, SAP SE, TUV SUD, ADLINK Technology, Parc Robotics, Schneider Electric, Cimcorp, Rockwell Automation, Bosch Rexroth, ABB, FANUC, KUKA, Honeywell International and Mitsubishi Electric.

Key Developments:

In August 2025, SAP and SmartRecruiters today announced that SAP has entered into an agreement to acquire SmartRecruiters, a leading talent acquisition (TA) software provider. SmartRecruiters' deep expertise in high-volume recruiting, recruitment automation and AI-enabled candidate experience and engagement are considered an ideal addition to the SAP SuccessFactors human capital management (HCM) suite.

In August 2025, Dassault Systemes and Viettel have signed a Memorandum of Understanding (MoU) to strengthen strategic cooperation in artificial intelligence (AI), machine learning (ML), digital design, and simulation. The partnership aims to accelerate digital transformation, foster innovation, and enhance Vietnam's position in high-tech industries.

In June 2025, Siemens Mobility and Swiss BLS Netz AG have agreed on a joint, long-term framework agreement worth €110 million. The contract includes modernization of the existing control and safety technology to meet the latest European Train Control System standard. Siemens Mobility will supply state-of-the-art safety systems for cab signaling as well as train control technology.

Components Covered:

• Robotic Handling Systems
• Automation Control Software
• Machine Vision Systems
• Motion & Conveyor Systems
• Sensor & Actuator Modules

Processes Covered:

• Battery Pack Disassembly
• Cell & Module Sorting
• Material Recovery & Recycling
• Second-Life Repurposing
• Diagnostic & State-of-Health Analysis
• End-of-Line Testing
• Automated Packaging for Logistics

Battery Types Covered:

• Lithium-Ion (Li-ion)
• Nickel-Metal Hydride (NiMH)
• Lead-Acid
• Solid-State
• Other Battery Types

Applications Covered:

• Electric Vehicles (EVs)
• Stationary Energy Storage Systems (ESS)
• Consumer Battery Recycling
• Industrial Power Systems

End Users Covered:

• EV Battery Recyclers
• Automotive OEMs (EV Manufacturers)
• Energy Utilities & Storage Integrators
• Consumer Electronics Recyclers
• Industrial Automation Providers

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Application Analysis
• 3.7 End User Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Electric Vehicle (EV) Battery Automation Market, By Component

• 5.1 Introduction
• 5.2 Robotic Handling Systems
• 5.3 Automation Control Software
• 5.4 Machine Vision Systems
• 5.5 Motion & Conveyor Systems
• 5.6 Sensor & Actuator Modules

6 Global Electric Vehicle (EV) Battery Automation Market, By Process

• 6.1 Introduction
• 6.2 Battery Pack Disassembly
• 6.3 Cell & Module Sorting
• 6.4 Material Recovery & Recycling
• 6.5 Second-Life Repurposing
• 6.6 Diagnostic & State-of-Health Analysis
• 6.7 End-of-Line Testing
• 6.8 Automated Packaging for Logistics

7 Global Electric Vehicle (EV) Battery Automation Market, By Battery Type

• 7.1 Introduction
• 7.2 Lithium-Ion (Li-ion)
• 7.3 Nickel-Metal Hydride (NiMH)
• 7.4 Lead-Acid
• 7.5 Solid-State
• 7.6 Other Battery Types

8 Global Electric Vehicle (EV) Battery Automation Market, By Application

• 8.1 Introduction
• 8.2 Electric Vehicles (EVs)
• 8.3 Stationary Energy Storage Systems (ESS)
• 8.4 Consumer Battery Recycling
• 8.5 Industrial Power Systems

9 Global Electric Vehicle (EV) Battery Automation Market, By End User

• 9.1 Introduction
• 9.2 EV Battery Recyclers
• 9.3 Automotive OEMs (EV Manufacturers)
• 9.4 Energy Utilities & Storage Integrators
• 9.5 Consumer Electronics Recyclers
• 9.6 Industrial Automation Providers

10 Global Electric Vehicle (EV) Battery Automation Market, By Geography

• 10.1 Introduction
• 10.2 North America
  • 10.2.1 US
  • 10.2.2 Canada
  • 10.2.3 Mexico
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 Italy
  • 10.3.4 France
  • 10.3.5 Spain
  • 10.3.6 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 Japan
  • 10.4.2 China
  • 10.4.3 India
  • 10.4.4 Australia
  • 10.4.5 New Zealand
  • 10.4.6 South Korea
  • 10.4.7 Rest of Asia Pacific
• 10.5 South America
  • 10.5.1 Argentina
  • 10.5.2 Brazil
  • 10.5.3 Chile
  • 10.5.4 Rest of South America
• 10.6 Middle East & Africa
  • 10.6.1 Saudi Arabia
  • 10.6.2 UAE
  • 10.6.3 Qatar
  • 10.6.4 South Africa
  • 10.6.5 Rest of Middle East & Africa

11 Key Developments

• 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 11.2 Acquisitions & Mergers
• 11.3 New Product Launch
• 11.4 Expansions
• 11.5 Other Key Strategies

12 Company Profiling

• 12.1 Siemens AG
• 12.2 Dassault Systems
• 12.3 SAP SE
• 12.4 TUV SUD
• 12.5 ADLINK Technology
• 12.6 Parc Robotics
• 12.7 Schneider Electric
• 12.8 Cimcorp
• 12.9 Rockwell Automation
• 12.10 Bosch Rexroth
• 12.11 ABB
• 12.12 FANUC
• 12.13 KUKA
• 12.14 Honeywell International
• 12.15 Mitsubishi Electric