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India AI in Computer Vision Market Research Report: Size, Share, Trends & Forecast (2026-2032)

By Component (Hardware, Software, Services), By Function (Training, Inference), By Technology (Deep Learning, Machine Learning, Image Processing, Pattern Recognition), By Deployment Mode (Cloud-Based,... ... t Mode (Cloud-Based, Edge-Based, Hybrid), By Enterprise Size (Large Enterprises, Small & Medium Enterprises (SMEs)), By Application (Quality Inspection & Automation, Surveillance & Security, Predictive Maintenance, Autonomous Navigation, Traffic & Crowd Monitoring, AR/VR & Gaming, Document Processing & OCR), By End User (Manufacturing, Consumer Electronics, Aerospace & Defense, Transportation & Logistics, Healthcare, Retail & E-commerce, BFSI, Agriculture, Others) Read more

ICT & Electronics
Feb 2026
Pages 120
Report Format: PDF, Excel, PPT

India AI in Computer Vision Market Report Key Takeaways:

Market size is estimated at USD 0.28 billion in 2026 and is projected to reach USD 6.1 billion by 2032. The estimated CAGR from 2026 to 2032 is around 54.98%, indicating strong growth.
By component, the software segment represented a significant share of about 48% in the India AI in Computer Vision Market in 2026.
By technology, the deep learning segment presented a significant share of about 45% in the India AI in Computer Vision Market in 2026.
By end user, the manufacturing segment presented a significant share of about 30% in the India AI in Computer Vision Market in 2026.
Leading AI in computer vision companies in the India Market are Cognex Corporation, Intel Corporation, Qualcomm Incorporated, Texas Instruments Incorporated, Teledyne Technologies Incorporated, Google Cloud, Bosch Limited, Cognizant Technology Solutions Corporation, Wipro Limited, Persistent Systems Limited, NVIDIA Corporation, Microsoft Corporation, Alphabet Inc., Amazon Web Services, Inc., IBM Corporation, Tata Consultancy Services Limited., and Others.

Market Insights & Analysis: India AI in Computer Vision Market (2026-32):

The India AI in Computer Vision Market size is estimated at USD 0.28 billion in 2026 and is projected to reach USD 6.1 billion by 2032. Along with this, the market is estimated to grow at a CAGR of around 54.98% during the forecast period, i.e., 2026-32.

The India AI in Computer Vision Market is projected to expand steadily, driven by smart-city surveillance expansion and rising adoption of Vision AI in healthcare diagnostics, accelerating nationwide deployment across public safety, medical imaging, and digital infrastructure.

Government-led digital infrastructure programs are transitioning computer vision from pilot deployments to mission-critical national infrastructure, creating long-term demand across surveillance, mobility, and medical imaging applications.

The Smart Cities Mission continues to be a foundational growth pillar. The Government of India allocated USD 5.38 billion to the initiative across 100 cities, with 99.44% of funding disbursed by March 2025. By May 2025, authorities had completed 7,555 projects valued at USD 181+ billion. All 100 cities now operate Integrated Command and Control Centres (ICCCs) that use AI, IoT, and real-time analytics to manage urban services. Public safety infrastructure includes more than 84,000 CCTV cameras, 1,884 emergency call boxes, automated red-light violation detection, number-plate recognition systems, and 1,740 km of smart roads. These developments significantly expand the deployment of video analytics platforms, edge-AI hardware, and intelligent monitoring software across urban India.

City-level deployments further reinforce this momentum. For example, Bhubaneswar has tendered 1,500 additional AI-enabled CCTV cameras, increasing its network to 3,300 cameras integrated with ICCC systems .

Similarly, Pune’s Safe City program is deploying 2,886 AI cameras under a USD 52.7 million project covering both urban and suburban zones. Meanwhile, Delhi has announced plans to install 50,000 additional CCTV cameras to enhance coverage in residential and commercial districts. Collectively, these projects demonstrate a shift toward large-scale, long-term surveillance infrastructure modernization .

Healthcare diagnostics is emerging as a second major growth engine. Vision AI solutions are increasingly deployed to automate imaging workflows and address shortages of radiologists. For instance, Siemens Healthineers launched AI-enabled radiology services that automate image interpretation and reporting, enabling radiologists to annotate chest CT scans up to 25% faster while reducing cognitive workload . Such innovations are accelerating the adoption of AI-powered imaging across hospitals and diagnostic centers.

Meanwhile, in the technology sector, the deep learning segment accounted for approximately 45% of the market in 2025, reflecting its critical role in enabling advanced facial recognition, real-time video analytics, automated medical imaging interpretation, and predictive monitoring across high-volume data environments.

Future investments beyond 2025 will further strengthen market expansion. For instance, Odisha Police has proposed USD 120+ million to deploy AI surveillance across all district headquarters by 2026 . Additionally, Nashik Police have proposed USD 48+ million for advanced surveillance deployment during the Simhastha Kumbh Mela 2027 as part of a broader USD 132+ million security program. These multi-year investments indicate a clear shift toward statewide and event-scale AI surveillance infrastructure.

India’s AI computer vision ecosystem is transitioning into a nationwide digital infrastructure layer. Sustained public funding, large-scale urban deployments, and healthcare automation initiatives will significantly accelerate adoption, supporting long-term market expansion.

India AI in Computer Vision Market Recent Developments:

2025: Gurugram Metropolitan Development Authority launched Phase-2 of its citywide surveillance expansion, approving the deployment of 2,722 AI-enabled CCTV cameras across 258 key locations in Gurugram and Manesar. The system will automatically detect violations such as red-light jumping, helmet non-compliance, overspeeding, and wrong-side driving, while expanding coverage to expressways and new urban zones. The project also includes nearly 300 km of underground optical-fiber connectivity to support real-time monitoring via the Integrated Command and Control Centre.
2025: Chennai Police announced a major smart-surveillance upgrade in 2025, planning to install around 300 AI-enabled CCTV cameras along Marina Beach to enhance public safety and real-time monitoring. The project covers 71 strategic locations from Labour Statue to Srinivasapuram and includes 280 4K fixed cameras and 20 PTZ cameras with facial recognition and automatic number-plate detection. The system will integrate with the city’s Intelligent Command and Control Centre for 24/7 monitoring and crowd-alert capabilities .

India AI in Computer Vision Market Scope:

Category	Segments
By Component	(Hardware, Software, Services),
By Function	(Training, Inference),
By Technology	(Deep Learning, Machine Learning, Image Processing, Pattern Recognition),
By Deployment Mode	(Cloud-Based, Edge-Based, Hybrid),
By Enterprise Size	(Large Enterprises, Small & Medium Enterprises (SMEs)),
By Application	(Quality Inspection & Automation, Surveillance & Security, Predictive Maintenance, Autonomous Navigation, Traffic & Crowd Monitoring, AR/VR & Gaming, Document Processing & OCR),
By End User	(Manufacturing, Consumer Electronics, Aerospace & Defense, Transportation & Logistics, Healthcare, Retail & E-commerce, BFSI, Agriculture, Others)

India AI in Computer Vision Market Driver:

Smart Cities and Public Surveillance Expansion

India’s accelerating smart-city deployment and public-safety modernization are significantly driving adoption of AI-powered computer vision technologies, including facial recognition, video analytics, crowd monitoring, and intelligent traffic management. Government-led investments are increasingly integrating surveillance infrastructure with centralized command platforms, creating sustained demand for advanced AI vision solutions.

In April 2025, the Uttar Pradesh government announced the deployment of 2,634 AI-enabled smart cameras across 561 locations under a USD 25+ million initiative. The project includes 1,543 fixed cameras, 406 PTZ cameras, and 100 automatic number-plate recognition (ANPR) cameras integrated with facial-recognition systems connected to national databases such as passport and criminal records. The infrastructure will be monitored through a 24/7 Integrated Command and Control Centre (ICCC) linked to 13 police stations. The deployment also includes 147 panic call boxes, 418 IP public-address systems, and a 250-km optical-fiber backbone , demonstrating the scale of AI-driven urban surveillance integration.

Similarly, Chandigarh has launched a major upgrade of its Intelligent Traffic Management System and Adaptive Traffic Control System to improve emergency response and traffic efficiency. The project involves deploying around 2,000 AI-enabled cameras across 287 locations and expanding adaptive traffic control to all 109 junctions. The initiative integrates sensors, automated signals, and centralized monitoring to enhance traffic flow and urban safety.

Large-scale city surveillance and traffic modernization projects are embedding computer vision into core urban infrastructure. Continued expansion of AI-driven public safety systems will strongly accelerate demand for computer vision platforms across India.

India’s rapid smart-city deployment and large-scale public surveillance programs are significantly accelerating demand for AI-powered computer vision solutions such as facial recognition, video analytics, crowd monitoring, and traffic intelligence.

Market Segmentation
Introduction
1. Product Definition
2. Research Process
3. Assumptions
Executive Summary
India AI in Computer Vision Market Evolution Timeline, 2022-2040
India AI in Computer Vision Market: A Global Comparative Analysis Vs Top Economies, 2026
1. The US
2. China
3. Japan
4. Germany
5. France
6. The UK
7. South Korea
8. Others
India AI in Computer Vision Market Technology Landscape and Evolution
1. Core AI Vision Technologies (CNNs, transformers, multimodal models)
2. Edge AI vs Cloud AI- Technical and Economic Trade-Offs
3. Role of Hardware Accelerators (GPUs, NPUs, ASICs)
India AI in Computer Vision Market Application and Use-Case Analysis
1. Industrial and Manufacturing Vision
2. Retail, Consumer Analytics, And Physical Commerce
3. Logistics, Warehousing, And Mobility
4. Healthcare and Medical Imaging
5. Security, Surveillance, and Public Infrastructure
India AI in Computer Vision Market Policies, Regulations, and Product Standards
India AI in Computer Vision Market Trends & Developments
India AI in Computer Vision Market Dynamics
1. Growth Drivers
2. Challenges
India AI in Computer Vision Market Hotspot & Opportunities
India AI in Computer Vision Market Outlook, 2022-2032
1. Market Size & Outlook
  1. By Revenues (USD Million)
2. Market Share & Outlook
  1. By Component – Market Size & Forecast 2022-2032, USD Million
    1. Hardware
      1. Cameras & sensors
      2. GPUs, TPUs, AI chips
      3. Edge AI devices
      4. Vision-enabled drones & robots
    2. Software
      1. Vision analytics platforms
      2. Deep learning & ML algorithms
      3. Image/video analytics software
      4. Facial recognition software
      5. Object detection & tracking
      6. Vision SDKs & APIs
    3. Services
      1. Integration & deployment
      2. Consulting
      3. Maintenance & support
      4. AI model training & data labeling
  2. By Function – Market Size & Forecast 2022-2032, USD Million
    1. Training
    2. Inference
  3. By Technology – Market Size & Forecast 2022-2032, USD Million
    1. Deep Learning
    2. Machine Learning
    3. Image Processing
    4. Pattern Recognition
  4. By Deployment Mode – Market Size & Forecast 2022-2032, USD Million
    1. Cloud-Based
    2. Edge-Based
    3. Hybrid
  5. By Enterprise Size – Market Size & Forecast 2022-2032, USD Million
    1. Large Enterprises
    2. Small & Medium Enterprises (SMEs)
  6. By Application – Market Size & Forecast 2022-2032, USD Million
    1. Quality Inspection & Automation
    2. Surveillance & Security
    3. Predictive Maintenance
    4. Autonomous Navigation
    5. Traffic & Crowd Monitoring
    6. AR/VR & Gaming
    7. Document Processing & OCR
  7. By End User – Market Size & Forecast 2022-2032, USD Million
    1. Manufacturing
    2. Consumer Electronics
    3. Aerospace & Defense
    4. Transportation & Logistics
    5. Healthcare
    6. Retail & E-commerce
    7. BFSI
    8. Agriculture
    9. Others
  8. By Company
    1. Company Revenue Shares
    2. Competitor Characteristics
India AI in Computer Vision India Hardware Market Outlook, 2022-2032
1. Market Size & Outlook
  1. By Revenues (USD Million)
2. Market Share & Outlook
  1. By Function – Market Size & Forecast 2022-2032, USD Million
  2. By Technology – Market Size & Forecast 2022-2032, USD Million
  3. By Deployment Mode – Market Size & Forecast 2022-2032, USD Million
  4. By Enterprise Size – Market Size & Forecast 2022-2032, USD Million
  5. By Application – Market Size & Forecast 2022-2032, USD Million
  6. By End User – Market Size & Forecast 2022-2032, USD Million
India AI in Computer Vision Software Market Outlook, 2022-2032
1. Market Size & Outlook
  1. By Revenues (USD Million)
2. Market Share & Outlook
  1. By Function – Market Size & Forecast 2022-2032, USD Million
  2. By Technology – Market Size & Forecast 2022-2032, USD Million
  3. By Deployment Mode – Market Size & Forecast 2022-2032, USD Million
  4. By Enterprise Size – Market Size & Forecast 2022-2032, USD Million
  5. By Application – Market Size & Forecast 2022-2032, USD Million
  6. By End User – Market Size & Forecast 2022-2032, USD Million
India AI in Computer Vision Services Market Outlook, 2022-2032
1. Market Size & Outlook
  1. By Revenues (USD Million)
2. Market Share & Outlook
  1. By Function – Market Size & Forecast 2022-2032, USD Million
  2. By Technology – Market Size & Forecast 2022-2032, USD Million
  3. By Deployment Mode – Market Size & Forecast 2022-2032, USD Million
  4. By Enterprise Size – Market Size & Forecast 2022-2032, USD Million
  5. By Application – Market Size & Forecast 2022-2032, USD Million
  6. By End User – Market Size & Forecast 2022-2032, USD Million
India AI in Computer Vision Market Key Strategic Imperatives for Success & Growth
Competition Outlook
1. Company Profiles
  1. Cognex Corporation
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  2. Intel Corporation
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  3. Qualcomm Incorporated
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  4. Texas Instruments Incorporated
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  5. Teledyne Technologies Incorporated
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  6. Google Cloud
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  7. Bosch Limited
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  8. Cognizant Technology Solutions Corporation
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  9. Wipro Limited
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  10. Persistent Systems Limited
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  11. NVIDIA Corporation
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  12. Microsoft Corporation
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  13. Alphabet Inc.
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  14. Amazon Web Services, Inc.
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  15. IBM Corporation
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  16. Tata Consultancy Services Limited
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  17. Others
Disclaimer

MarkNtel Advisors follows a robust and iterative research methodology designed to ensure maximum accuracy and minimize deviation in market estimates and forecasts. Our approach combines both bottom-up and top-down techniques to effectively segment and quantify various aspects of the market. A consistent feature across all our research reports is data triangulation, which examines the market from three distinct perspectives to validate findings. Key components of our research process include:

1. Scope & Research Design At the outset, MarkNtel Advisors define the research objectives and formulate pertinent questions. This phase involves determining the type of research—qualitative or quantitative—and designing a methodology that outlines data collection methods, target demographics, and analytical tools. They also establish timelines and budgets to ensure the research aligns with client goals.

2. Sample Selection and Data Collection In this stage, the firm identifies the target audience and determines the appropriate sample size to ensure representativeness. They employ various sampling methods, such as random or stratified sampling, based on the research objectives. Data collection is carried out using tools like surveys, interviews, and observations, ensuring the gathered data is reliable and relevant.

3. Data Analysis and Validation Once data is collected, MarkNtel Advisors undertake a rigorous analysis process. This includes cleaning the data to remove inconsistencies, employing statistical software for quantitative analysis, and thematic analysis for qualitative data. Validation steps are taken to ensure the accuracy and reliability of the findings, minimizing biases and errors.

4. Data Forecast and FinalizationThe final phase involves forecasting future market trends based on the analyzed data. MarkNtel Advisors utilize predictive modeling and time series analysis to anticipate market behaviors. The insights are then compiled into comprehensive reports, featuring visual aids like charts and graphs, and include strategic recommendations to inform client decision-making

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