Key Events & Reports of the Year 2023 – AI, Gen AI & Data Analytics Industry
  • The current global big data analytics market is valued at $307.52 billion as per Fortune Business Insights.
  • As per Allied Market Research, the business analytics software market was valued at approximately $177 billion in 2023.
  • 3 in 5 organizations believe big data and analytics skills are becoming more important as per World Economic Forum.
  • As per a report from Gartner, Generative AI adoption levels vary; the top use case among adopters is data analysis and prediction. While most respondents (60%) report that their organizations use generative AI solutions beyond ChatGPT for specific applications, only 12% say they use the technology extensively, while 48% use it to a limited extent. Tech leaders who say their organizations currently use generative AI beyond ChatGPT cited data analysis and prediction (56%) and marketing and advertising (53%) as the top use cases.
  • According to the Nasscom report ‘India Tech Industry Digital Talent Demand and Supply Analysis 2023,’ Hyderabad holds the fourth position in the country’s digital tech talent pool, increasing from 12-13% to 13-14%. Bengaluru leads with 25-26%, followed by Mumbai at 15-16%, and Delhi NCR at 14-15%. Nationally, digital talent constitutes 36-38% of the tech workforce, with AI, Big Data Analytics, and IoT facing a demand-supply gap exceeding 50%. Chennai and Pune contribute 9-10% each to the total digital talent pool.
  • Top Trends in Data and Analytics for 2023 as per Gartner Recap: In 2023, the data and analytics field shifted focus to deliver tangible value, outlined in Gartner’s report. Three key themes emerged: 1) Think Like a Business: Data leaders adopt a proactive approach, framing data as a product for growth and innovation, emphasizing cost-value balance, and taking responsibility for outcomes. 2)From Platforms to Ecosystems: A shift from isolated data platforms to integrated ecosystems enhances agility, emphasizing human-AI interactions and sharing resources for maximum value. 3)Don’t Forget the Humans: Recognizing AI’s strength combined with human involvement, emphasizing benefits in decision-making, sustainability, customer trust, and mitigating unexpected biases.
  • The top 10 Programming languages on Github in 2023 as per the report by Analytics India Magazine where they have highlighted JavaScript as the leading programming language, with Python and TypeScript also in the top ranks. Here is the list of the most used languages on GitHub are JavaScript, Python, TypeScript, Java, C#, C++, PHP, C language, Ruby, Go.
  • The top 10 Machine learning and AI tools that has reshaped industry in year 2023 as per Analytics Insights publications are GPT-4: 1) Redefining Natural Language Processing, 2) TensorFlow 3.0: Unleashing the Power of Deep Learning, 3) AutoML Advancements: Democratizing Machine Learning, 4) PyTorch Lightning: Streamlining AI Development, 5) Reinforcement Learning Frameworks: Pushing AI Boundaries, 6) AI-Powered Cybersecurity Solutions: Safeguarding the Digital Realm, 7) Computer Vision Breakthroughs: Enhancing Visual Perception, 8) Natural Language Generation (NLG) for Business Intelligence, 9) AI in Healthcare Diagnostics: Improving Patient Outcomes, 10) Edge AI Solutions: Bringing Intelligence to the Edge.
  • The top 10 AI tools and Gen AI products that have redefined industry in year 2023 as per Analytics Insights publications are 1. CodeWhisperer, 2. Google Cloud’s Duet AI, 3. Salesforce Einstein GPT, 4. Google Bard, 5. Google’s Vertex AI, 6. Anthropic Claud 2, 7. Amazon Bedrock, 8. GPT-4, 9. Microsoft 365 Copilot.
  • A Year in Recap article published by Software development times, Recapping 2023, it’s an understatement to say it was dominated by AI. Following ChatGPT’s 2022 release, generative AI blew up in 2023. According to Reuters, ChatGPT reached 100 million users, just two months post-launch. In January, Microsoft announced a multi-billion-dollar investment in the company offering a paid version of ChatGPT, an API for ChatGPT, and the release of GPT-4. A number of other tech companies also announced several capabilities that incorporate AI. For instance, Microsoft integrated ChatGPT into its Bing search engine and announced Microsoft Copilot. Google also announced Bard, its response to the AI-enabled Bing, and in December it announced a new multimodal model called Gemini. And Amazon announced Amazon Bedrock, a platform for building generative AI applications. The year showcased a profound integration of AI across various industries and platforms.
  • According to a report by Forbes Top AI Statistics and Trends In 2023, the emergence of AI and its global applications is fostering growth across various sectors and reshaping our future outlook. AI-powered tools such as deep learning and machine learning have the potential to improve productivity and increase efficiency, 48% of businesses are optimizing the use of machine learning (ML), data analysis, and several other AI tools. The global enterprise adoption of AI has more than doubled since 2017 and is growing at an impressive rate showing signs of faring better in the upcoming years. According to an IBM survey report, Indian and Chinese companies are taking the lead in the use of AI compared to other technologically advanced countries. As per the report the India artificial intelligence market size reached $ 680 million in 202

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